Stage 1 hypertension and risk of cardiovascular disease mortality in United States adults with or without diabetes
- Authors: Wang, Yutang
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of Hypertension Vol. 40, no. 4 (2022), p. 794-803
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
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- Description: Objective: This study aimed to investigate the association of S1 hypertension, classified according to the 2017 American College of Cardiology/American Heart Association blood pressure (BP) guideline, with cardiovascular disease (CVD) mortality in adults with or without diabetes from the general United States population.Methods:This cohort study included 40 518 United States adults (including 3555 with diabetes) naive to antihypertensive drugs who attended the National Health and Nutrition Examination Surveys from 1988 to 2014.Results:Participants were followed up for 489 679 person-years (mean follow-up, 12.1 years) with 1569 CVD deaths being recorded. S1 hypertension was neither associated with an increased CVD mortality risk in the whole cohort nor in participants with or without diabetes after full adjustment. In age-stratified analyses, compared with normal BP, S1 hypertension was associated with increased CVD mortality in young adults, unrelated to CVD mortality in midlife, and associated with lower CVD mortality in the elderly. In older participants (
- Authors: Wang, Yutang
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of Hypertension Vol. 40, no. 4 (2022), p. 794-803
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
- Full Text:
- Reviewed:
- Description: Objective: This study aimed to investigate the association of S1 hypertension, classified according to the 2017 American College of Cardiology/American Heart Association blood pressure (BP) guideline, with cardiovascular disease (CVD) mortality in adults with or without diabetes from the general United States population.Methods:This cohort study included 40 518 United States adults (including 3555 with diabetes) naive to antihypertensive drugs who attended the National Health and Nutrition Examination Surveys from 1988 to 2014.Results:Participants were followed up for 489 679 person-years (mean follow-up, 12.1 years) with 1569 CVD deaths being recorded. S1 hypertension was neither associated with an increased CVD mortality risk in the whole cohort nor in participants with or without diabetes after full adjustment. In age-stratified analyses, compared with normal BP, S1 hypertension was associated with increased CVD mortality in young adults, unrelated to CVD mortality in midlife, and associated with lower CVD mortality in the elderly. In older participants (
Tree nut consumption is associated with a lower risk of hyperestrogenism in men
- Authors: Wang, Yutang , Fang, Yan
- Date: 2022
- Type: Text , Journal article
- Relation: Nutrition Research Vol. 98, no. (2022), p. 1-8
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
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- Description: Hyperestrogenism may affect 2% to 8% of men globally. Previous studies indicate that tree nut consumption is associated with sex hormones in women. Whether this is the case in men remains unknown. This study hypothesized that consumption of tree nuts was inversely associated with circulating estradiol and prevalence of hyperestrogenism in men. This cross-sectional study included 3340 men aged ≥20 years from the US National Health and Nutrition Examination Survey from 2013 to 2016. Associations of tree nut consumption with circulating estradiol and prevalence of hyperestrogenism were assessed using weighted linear regression and binary logistic regression, respectively. Among the 3340 men, 207 consumed tree nuts. The mean usual intake of tree nuts among tree nut consumers was 34.2 g/d. Amounts of usual intake of tree nuts were inversely associated with bioavailable estradiol (β = -0.032, P = .037) after adjustment for all confounders. Usual intake of tree nuts of ≥ 30 g/d (vs <30 g/d) or ≥42.52 g/d (vs <42.52 g/d) was associated with a 24% or 7% lower multivariate-adjusted risk of hyperestrogenism, respectively. Further analyses showed that usual intake of tree nuts was positively associated with circulating folate, and the latter was inversely associated with circulating estradiol. In conclusion, higher tree nut consumption was independently associated with lower circulating levels of bioavailable estradiol and a lower risk of hyperestrogenism in men. Further research is needed to verify the effectiveness of using tree nuts to treat hyperestrogenism in men. © 2022
- Authors: Wang, Yutang , Fang, Yan
- Date: 2022
- Type: Text , Journal article
- Relation: Nutrition Research Vol. 98, no. (2022), p. 1-8
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
- Full Text:
- Reviewed:
- Description: Hyperestrogenism may affect 2% to 8% of men globally. Previous studies indicate that tree nut consumption is associated with sex hormones in women. Whether this is the case in men remains unknown. This study hypothesized that consumption of tree nuts was inversely associated with circulating estradiol and prevalence of hyperestrogenism in men. This cross-sectional study included 3340 men aged ≥20 years from the US National Health and Nutrition Examination Survey from 2013 to 2016. Associations of tree nut consumption with circulating estradiol and prevalence of hyperestrogenism were assessed using weighted linear regression and binary logistic regression, respectively. Among the 3340 men, 207 consumed tree nuts. The mean usual intake of tree nuts among tree nut consumers was 34.2 g/d. Amounts of usual intake of tree nuts were inversely associated with bioavailable estradiol (β = -0.032, P = .037) after adjustment for all confounders. Usual intake of tree nuts of ≥ 30 g/d (vs <30 g/d) or ≥42.52 g/d (vs <42.52 g/d) was associated with a 24% or 7% lower multivariate-adjusted risk of hyperestrogenism, respectively. Further analyses showed that usual intake of tree nuts was positively associated with circulating folate, and the latter was inversely associated with circulating estradiol. In conclusion, higher tree nut consumption was independently associated with lower circulating levels of bioavailable estradiol and a lower risk of hyperestrogenism in men. Further research is needed to verify the effectiveness of using tree nuts to treat hyperestrogenism in men. © 2022
An evidence theoretic approach for traffic signal intrusion detection
- Chowdhury, Abdullahi, Karmakar, Gour, Kamruzzaman, Joarder, Das, Rajkumar, Newaz, Shah
- Authors: Chowdhury, Abdullahi , Karmakar, Gour , Kamruzzaman, Joarder , Das, Rajkumar , Newaz, Shah
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 10 (2023), p. 4646
- Full Text:
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- Description: The increasing attacks on traffic signals worldwide indicate the importance of intrusion detection. The existing traffic signal Intrusion Detection Systems (IDSs) that rely on inputs from connected vehicles and image analysis techniques can only detect intrusions created by spoofed vehicles. However, these approaches fail to detect intrusion from attacks on in-road sensors, traffic controllers, and signals. In this paper, we proposed an IDS based on detecting anomalies associated with flow rate, phase time, and vehicle speed, which is a significant extension of our previous work using additional traffic parameters and statistical tools. We theoretically modelled our system using the Dempster-Shafer decision theory, considering the instantaneous observations of traffic parameters and their relevant historical normal traffic data. We also used Shannon's entropy to determine the uncertainty associated with the observations. To validate our work, we developed a simulation model based on the traffic simulator called SUMO using many real scenarios and the data recorded by the Victorian Transportation Authority, Australia. The scenarios for abnormal traffic conditions were generated considering attacks such as jamming, Sybil, and false data injection attacks. The results show that the overall detection accuracy of our proposed system is 79.3% with fewer false alarms.
- Authors: Chowdhury, Abdullahi , Karmakar, Gour , Kamruzzaman, Joarder , Das, Rajkumar , Newaz, Shah
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 10 (2023), p. 4646
- Full Text:
- Reviewed:
- Description: The increasing attacks on traffic signals worldwide indicate the importance of intrusion detection. The existing traffic signal Intrusion Detection Systems (IDSs) that rely on inputs from connected vehicles and image analysis techniques can only detect intrusions created by spoofed vehicles. However, these approaches fail to detect intrusion from attacks on in-road sensors, traffic controllers, and signals. In this paper, we proposed an IDS based on detecting anomalies associated with flow rate, phase time, and vehicle speed, which is a significant extension of our previous work using additional traffic parameters and statistical tools. We theoretically modelled our system using the Dempster-Shafer decision theory, considering the instantaneous observations of traffic parameters and their relevant historical normal traffic data. We also used Shannon's entropy to determine the uncertainty associated with the observations. To validate our work, we developed a simulation model based on the traffic simulator called SUMO using many real scenarios and the data recorded by the Victorian Transportation Authority, Australia. The scenarios for abnormal traffic conditions were generated considering attacks such as jamming, Sybil, and false data injection attacks. The results show that the overall detection accuracy of our proposed system is 79.3% with fewer false alarms.
Comparative analysis of machine and deep learning models for soil properties prediction from hyperspectral visual band
- Datta, Dristi, Paul, Manoranjan, Murshed, Manzur, Teng, Shyh Wei, Schmidtke, Leigh
- Authors: Datta, Dristi , Paul, Manoranjan , Murshed, Manzur , Teng, Shyh Wei , Schmidtke, Leigh
- Date: 2023
- Type: Text , Journal article
- Relation: Environments Vol. 10, no. 5 (2023), p. 77
- Full Text:
- Reviewed:
- Description: Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for studying their correlation with plant health and food production. However, conventional methods such as oven-drying and chemical analysis are laborious, expensive, and only feasible for a limited land area. With the advent of remote sensing technologies like multi/hyperspectral imaging, it is now possible to predict soil properties non-invasive and cost-effectively for a large expanse of bare land. Recent research shows the possibility of predicting those soil contents from a wide range of hyperspectral data using good prediction algorithms. However, these kinds of hyperspectral sensors are expensive and not widely available. Therefore, this paper investigates different machine and deep learning techniques to predict soil nutrient properties using only the red (R), green (G), and blue (B) bands data to propose a suitable machine/deep learning model that can be used as a rapid soil test. Another objective of this research is to observe and compare the prediction accuracy in three cases i. hyperspectral band ii. full spectrum of the visual band, and iii. three-channel of RGB band and provide a guideline to the user on which spectrum information they should use to predict those soil properties. The outcome of this research helps to develop a mobile application that is easy to use for a quick soil test. This research also explores learning-based algorithms with significant feature combinations and their performance comparisons in predicting soil properties from visual band data. For this, we also explore the impact of dimensional reduction (i.e., principal component analysis) and transformations (i.e., empirical mode decomposition) of features. The results show that the proposed model can comparably predict the soil contents from the three-channel RGB data.
- Authors: Datta, Dristi , Paul, Manoranjan , Murshed, Manzur , Teng, Shyh Wei , Schmidtke, Leigh
- Date: 2023
- Type: Text , Journal article
- Relation: Environments Vol. 10, no. 5 (2023), p. 77
- Full Text:
- Reviewed:
- Description: Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for studying their correlation with plant health and food production. However, conventional methods such as oven-drying and chemical analysis are laborious, expensive, and only feasible for a limited land area. With the advent of remote sensing technologies like multi/hyperspectral imaging, it is now possible to predict soil properties non-invasive and cost-effectively for a large expanse of bare land. Recent research shows the possibility of predicting those soil contents from a wide range of hyperspectral data using good prediction algorithms. However, these kinds of hyperspectral sensors are expensive and not widely available. Therefore, this paper investigates different machine and deep learning techniques to predict soil nutrient properties using only the red (R), green (G), and blue (B) bands data to propose a suitable machine/deep learning model that can be used as a rapid soil test. Another objective of this research is to observe and compare the prediction accuracy in three cases i. hyperspectral band ii. full spectrum of the visual band, and iii. three-channel of RGB band and provide a guideline to the user on which spectrum information they should use to predict those soil properties. The outcome of this research helps to develop a mobile application that is easy to use for a quick soil test. This research also explores learning-based algorithms with significant feature combinations and their performance comparisons in predicting soil properties from visual band data. For this, we also explore the impact of dimensional reduction (i.e., principal component analysis) and transformations (i.e., empirical mode decomposition) of features. The results show that the proposed model can comparably predict the soil contents from the three-channel RGB data.
IoT-based emergency vehicle services in intelligent transportation system
- Chowdhury, Abdullahi, Kaisar, Shahriar, Khoda, Mahbub, Naha, Ranesh, Khoshkholghi, Mohammad, Aiash, Mahdi
- Authors: Chowdhury, Abdullahi , Kaisar, Shahriar , Khoda, Mahbub , Naha, Ranesh , Khoshkholghi, Mohammad , Aiash, Mahdi
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 11 (2023), p. 5324
- Full Text:
- Reviewed:
- Description: Emergency Management System (EMS) is an important component of Intelligent transportation systems, and its primary objective is to send Emergency Vehicles (EVs) to the location of a reported incident. However, the increasing traffic in urban areas, especially during peak hours, results in the delayed arrival of EVs in many cases, which ultimately leads to higher fatality rates, increased property damage, and higher road congestion. Existing literature addressed this issue by giving higher priority to EVs while traveling to an incident place by changing traffic signals (e.g., making the signals green) on their travel path. A few works have also attempted to find the best route for an EV using traffic information (e.g., number of vehicles, flow rate, and clearance time) at the beginning of the journey. However, these works did not consider congestion or disruption faced by other non-emergency vehicles adjacent to the EV travel path. The selected travel paths are also static and do not consider changing traffic parameters while EVs are en route. To address these issues, this article proposes an Unmanned Aerial Vehicle (UAV) guided priority-based incident management system to assist EVs in obtaining a better clearance time in intersections and thus achieve a lower response time. The proposed model also considers disruption faced by other surrounding non-emergency vehicles adjacent to the EVs' travel path and selects an optimal solution by controlling the traffic signal phase time to ensure that EVs can reach the incident place on time while causing minimal disruption to other on-road vehicles. Simulation results indicate that the proposed model achieves an 8% lower response time for EVs while the clearance time surrounding the incident place is improved by 12%.
- Authors: Chowdhury, Abdullahi , Kaisar, Shahriar , Khoda, Mahbub , Naha, Ranesh , Khoshkholghi, Mohammad , Aiash, Mahdi
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 11 (2023), p. 5324
- Full Text:
- Reviewed:
- Description: Emergency Management System (EMS) is an important component of Intelligent transportation systems, and its primary objective is to send Emergency Vehicles (EVs) to the location of a reported incident. However, the increasing traffic in urban areas, especially during peak hours, results in the delayed arrival of EVs in many cases, which ultimately leads to higher fatality rates, increased property damage, and higher road congestion. Existing literature addressed this issue by giving higher priority to EVs while traveling to an incident place by changing traffic signals (e.g., making the signals green) on their travel path. A few works have also attempted to find the best route for an EV using traffic information (e.g., number of vehicles, flow rate, and clearance time) at the beginning of the journey. However, these works did not consider congestion or disruption faced by other non-emergency vehicles adjacent to the EV travel path. The selected travel paths are also static and do not consider changing traffic parameters while EVs are en route. To address these issues, this article proposes an Unmanned Aerial Vehicle (UAV) guided priority-based incident management system to assist EVs in obtaining a better clearance time in intersections and thus achieve a lower response time. The proposed model also considers disruption faced by other surrounding non-emergency vehicles adjacent to the EVs' travel path and selects an optimal solution by controlling the traffic signal phase time to ensure that EVs can reach the incident place on time while causing minimal disruption to other on-road vehicles. Simulation results indicate that the proposed model achieves an 8% lower response time for EVs while the clearance time surrounding the incident place is improved by 12%.
Adjustment for body mass index changes inverse associations of HDL-cholesterol with blood pressure and hypertension to positive associations
- Yang, Guang, Qian, Tingting, Sun, Hui, Xu, Qun, Hou, Xujuan, Hu, Wenqi, Zhang, Guang, Drummond, Grant, Sobey, Christopher, Witting, Paul, Denton, Kate, Charchar, Fadi, Golledge, Jonathan, Wang, Yutang
- Authors: Yang, Guang , Qian, Tingting , Sun, Hui , Xu, Qun , Hou, Xujuan , Hu, Wenqi , Zhang, Guang , Drummond, Grant , Sobey, Christopher , Witting, Paul , Denton, Kate , Charchar, Fadi , Golledge, Jonathan , Wang, Yutang
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of Human Hypertension Vol. 36, no. 6 (2022), p. 570-579
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
- Full Text:
- Reviewed:
- Description: The associations between high-density lipoprotein cholesterol (HDL-C) and blood pressure (BP) or hypertension are inconsistent in previous studies. This study aimed to assess these associations in a large cohort of Chinese adults and across different age groups. This cross-sectional association study included 22,081 Chinese adults. Associations of HDL-C with BP and hypertension were analyzed using linear or logistic regression, with or without adjustment for confounding factors. HDL-C was inversely associated with BP and hypertension. These associations were still apparent after adjustment for age, sex, fasting plasma glucose, and low-density lipoprotein cholesterol. Sub-analyses revealed: (1) in the whole cohort and females alone, HDL-C was inversely associated with BP and hypertension in young and middle-aged but not older participants; (2) in males alone, HDL-C was not associated with systolic BP or hypertension. However, HDL-C was either inversely, or not, or positively associated with BP in young, middle-aged, and older males, respectively. After further adjustment for body mass index (BMI), the negative associations of HDL-C with BP and hypertension in the whole cohort became positive ones, and the positive associations only presented in males. These findings suggest that further adjustment for BMI changes inverse associations of HDL-cholesterol with BP and hypertension to positive associations in a cohort of Chinese adults. © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
- Authors: Yang, Guang , Qian, Tingting , Sun, Hui , Xu, Qun , Hou, Xujuan , Hu, Wenqi , Zhang, Guang , Drummond, Grant , Sobey, Christopher , Witting, Paul , Denton, Kate , Charchar, Fadi , Golledge, Jonathan , Wang, Yutang
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of Human Hypertension Vol. 36, no. 6 (2022), p. 570-579
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
- Full Text:
- Reviewed:
- Description: The associations between high-density lipoprotein cholesterol (HDL-C) and blood pressure (BP) or hypertension are inconsistent in previous studies. This study aimed to assess these associations in a large cohort of Chinese adults and across different age groups. This cross-sectional association study included 22,081 Chinese adults. Associations of HDL-C with BP and hypertension were analyzed using linear or logistic regression, with or without adjustment for confounding factors. HDL-C was inversely associated with BP and hypertension. These associations were still apparent after adjustment for age, sex, fasting plasma glucose, and low-density lipoprotein cholesterol. Sub-analyses revealed: (1) in the whole cohort and females alone, HDL-C was inversely associated with BP and hypertension in young and middle-aged but not older participants; (2) in males alone, HDL-C was not associated with systolic BP or hypertension. However, HDL-C was either inversely, or not, or positively associated with BP in young, middle-aged, and older males, respectively. After further adjustment for body mass index (BMI), the negative associations of HDL-C with BP and hypertension in the whole cohort became positive ones, and the positive associations only presented in males. These findings suggest that further adjustment for BMI changes inverse associations of HDL-cholesterol with BP and hypertension to positive associations in a cohort of Chinese adults. © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
Moxonidine increases uptake of oxidised low-density lipoprotein in cultured vascular smooth muscle cells and inhibits atherosclerosis in apolipoprotein E-deficient mice
- Wang, Yutang, Nguyen, Dinh, Anesi, Jack, Alramahi, Ahmed, Witting, Paul, Chai, Zhonglin, Khan, Abdul, Kelly, Jason, Denton, Kate, Golledge, Jonathan
- Authors: Wang, Yutang , Nguyen, Dinh , Anesi, Jack , Alramahi, Ahmed , Witting, Paul , Chai, Zhonglin , Khan, Abdul , Kelly, Jason , Denton, Kate , Golledge, Jonathan
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Molecular Sciences Vol. 24, no. 4 (2023), p.
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
- Full Text:
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- Description: This study aimed to investigate the effect of the sympatholytic drug moxonidine on atherosclerosis. The effects of moxonidine on oxidised low-density lipoprotein (LDL) uptake, inflammatory gene expression and cellular migration were investigated in vitro in cultured vascular smooth muscle cells (VSMCs). The effect of moxonidine on atherosclerosis was measured by examining aortic arch Sudan IV staining and quantifying the intima-to-media ratio of the left common carotid artery in apolipoprotein E-deficient (ApoE
- Authors: Wang, Yutang , Nguyen, Dinh , Anesi, Jack , Alramahi, Ahmed , Witting, Paul , Chai, Zhonglin , Khan, Abdul , Kelly, Jason , Denton, Kate , Golledge, Jonathan
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Molecular Sciences Vol. 24, no. 4 (2023), p.
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
- Full Text:
- Reviewed:
- Description: This study aimed to investigate the effect of the sympatholytic drug moxonidine on atherosclerosis. The effects of moxonidine on oxidised low-density lipoprotein (LDL) uptake, inflammatory gene expression and cellular migration were investigated in vitro in cultured vascular smooth muscle cells (VSMCs). The effect of moxonidine on atherosclerosis was measured by examining aortic arch Sudan IV staining and quantifying the intima-to-media ratio of the left common carotid artery in apolipoprotein E-deficient (ApoE
Hypouricemia is a risk factor for diabetes in Chinese adults
- Wang, Yutang, Shao, Yanan, Qian, Tingting, Sun, Hui, Xu, Qun, Hou, Xujuan, Hu, Wenqi, Zhang, Guang, Song, David, Fang, Yan, Magliano, Dianna, Witting, Paul, Golledge, Jonathan, Yang, Guang
- Authors: Wang, Yutang , Shao, Yanan , Qian, Tingting , Sun, Hui , Xu, Qun , Hou, Xujuan , Hu, Wenqi , Zhang, Guang , Song, David , Fang, Yan , Magliano, Dianna , Witting, Paul , Golledge, Jonathan , Yang, Guang
- Date: 2022
- Type: Text , Journal article
- Relation: Obesity Medicine Vol. 31, no. (2022), p.
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
- Full Text:
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- Description: Aims: It is unknown whether low serum uric acid (hypouricemia) is associated with diabetes diagnosis. This study aimed to investigate this association in Chinese adults. Methods: This cross-sectional study included 22,546 Chinese adults. The reference interval for serum uric acid was determined in a sub-group of healthy individuals. The association between hypouricemia and diabetes was analyzed using binary logistic regression. Results: The serum uric acid reference intervals were 3.78–8.31 mg/dL for males and 2.76–6.24 mg/dL for females. Hypouricemia was defined as serum uric acid concentration <3.78 mg/dL for males and <2.76 mg/dL for females. Hypouricemia was associated with an increased likelihood of diabetes diagnosis in both unadjusted (odds ratio [OR], 2.23; 95% confidence interval [CI], 1.78–2.79) and risk factor adjusted (OR, 2.67; 95% CI, 2.08–3.43) analyses. In a sub-group analysis, hypouricemia was significantly independently associated with an increased likelihood of diabetes diagnosis in males but not females. Conclusion: This study suggests that hypouricemia is independently associated with an increased risk of diabetes diagnosis. The findings should be validated in prospective cohort studies. © 2022 Elsevier Ltd
- Authors: Wang, Yutang , Shao, Yanan , Qian, Tingting , Sun, Hui , Xu, Qun , Hou, Xujuan , Hu, Wenqi , Zhang, Guang , Song, David , Fang, Yan , Magliano, Dianna , Witting, Paul , Golledge, Jonathan , Yang, Guang
- Date: 2022
- Type: Text , Journal article
- Relation: Obesity Medicine Vol. 31, no. (2022), p.
- Relation: https://purl.org/au-research/grants/nhmrc/1062671
- Full Text:
- Reviewed:
- Description: Aims: It is unknown whether low serum uric acid (hypouricemia) is associated with diabetes diagnosis. This study aimed to investigate this association in Chinese adults. Methods: This cross-sectional study included 22,546 Chinese adults. The reference interval for serum uric acid was determined in a sub-group of healthy individuals. The association between hypouricemia and diabetes was analyzed using binary logistic regression. Results: The serum uric acid reference intervals were 3.78–8.31 mg/dL for males and 2.76–6.24 mg/dL for females. Hypouricemia was defined as serum uric acid concentration <3.78 mg/dL for males and <2.76 mg/dL for females. Hypouricemia was associated with an increased likelihood of diabetes diagnosis in both unadjusted (odds ratio [OR], 2.23; 95% confidence interval [CI], 1.78–2.79) and risk factor adjusted (OR, 2.67; 95% CI, 2.08–3.43) analyses. In a sub-group analysis, hypouricemia was significantly independently associated with an increased likelihood of diabetes diagnosis in males but not females. Conclusion: This study suggests that hypouricemia is independently associated with an increased risk of diabetes diagnosis. The findings should be validated in prospective cohort studies. © 2022 Elsevier Ltd
Determinants of purchase intention during COVID-19: A case study of skincare products in East Java
- Sudaryanto, Sudaryanto, Courvisanos, Jerry, Dewi, Ivana, Rusdiyanto, Rosediana, Yuaris, Jiva
- Authors: Sudaryanto, Sudaryanto , Courvisanos, Jerry , Dewi, Ivana , Rusdiyanto, Rosediana , Yuaris, Jiva
- Date: 2022
- Type: Text , Journal article
- Relation: Innovative Marketing Vol. 18, no. 1 (2022), p. 181-194
- Full Text:
- Reviewed:
- Description: During COVID-19, consumers of skincare products pay more attention to safety and comfort. In such a crisis, consumers seek skincare products with brand effectiveness, high quality, and persuasive reviews by social media influencers. This study investigates the influence of brand effectiveness, product quality, and celebrity endorsers on purchase intention of halal skincare products in the pandemic. The study employed a survey of halal skincare users in East Java, Indonesia. A purposive sampling of 180 female respondents was analyzed; they were followers of Safi-Skincare Instagram and aged 18 and over. Descriptive statistics indicated that religious background strengthened the factors influencing the purchase intention towards a skincare product. The data were then analyzed using multiple linear regression with a statistical level of confidence of 95%. The result showed that brand effectiveness, product quality, and celebrity endorsers significantly affect purchase intention in Indonesia during the pandemic. The study concludes that Muslim standards reinforce rigid standards applied to skincare products with a halal logo, supporting good quality performance and encouraging stronger purchase intention. This study contributes to understanding consumer behavior in the pandemic using a purchase intention framework that can be applied to the safety and comfort of other consumer products. © Sudaryanto Sudaryanto, Jerry Courvisanos, Ivana Rosediana Dewi, Rusdiyanto Rusdiyanto, Jiva Rendis Yuaris, 2022
- Authors: Sudaryanto, Sudaryanto , Courvisanos, Jerry , Dewi, Ivana , Rusdiyanto, Rosediana , Yuaris, Jiva
- Date: 2022
- Type: Text , Journal article
- Relation: Innovative Marketing Vol. 18, no. 1 (2022), p. 181-194
- Full Text:
- Reviewed:
- Description: During COVID-19, consumers of skincare products pay more attention to safety and comfort. In such a crisis, consumers seek skincare products with brand effectiveness, high quality, and persuasive reviews by social media influencers. This study investigates the influence of brand effectiveness, product quality, and celebrity endorsers on purchase intention of halal skincare products in the pandemic. The study employed a survey of halal skincare users in East Java, Indonesia. A purposive sampling of 180 female respondents was analyzed; they were followers of Safi-Skincare Instagram and aged 18 and over. Descriptive statistics indicated that religious background strengthened the factors influencing the purchase intention towards a skincare product. The data were then analyzed using multiple linear regression with a statistical level of confidence of 95%. The result showed that brand effectiveness, product quality, and celebrity endorsers significantly affect purchase intention in Indonesia during the pandemic. The study concludes that Muslim standards reinforce rigid standards applied to skincare products with a halal logo, supporting good quality performance and encouraging stronger purchase intention. This study contributes to understanding consumer behavior in the pandemic using a purchase intention framework that can be applied to the safety and comfort of other consumer products. © Sudaryanto Sudaryanto, Jerry Courvisanos, Ivana Rosediana Dewi, Rusdiyanto Rusdiyanto, Jiva Rendis Yuaris, 2022
Confirmatory factor analysis and exploratory structural equation modeling of the factor structure of the Questionnaire of Cognitive and Affective Empathy (QCAE)
- Gomez, Rapson, Brown, Taylor, Watson, Shaun, Stavropoulos, Vasileios
- Authors: Gomez, Rapson , Brown, Taylor , Watson, Shaun , Stavropoulos, Vasileios
- Date: 2022
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 17, no. 2 February (2022), p.
- Full Text:
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- Description: The Questionnaire of Cognitive and Affective Empathy (QCAE) is a multiple dimensional measure of cognitive empathy [comprising primary factors for perspective taking (PT), online simulation (OS)], and affective empathy [comprising primary factors for emotion contagion (EC), proximal responsivity (PRO), and peripheral responsivity (PER)]. This study used independent clusters confirmatory factor analysis (ICM-CFA) and exploratory structural equation modeling (ESEM) to examine the scale’s factor structure. A general community sample of 203 (men = 43, women = 160) between 17 and 63 years completed the QCAE. Although both the five-factor oblique and second order factor models showed good model fit, and clarity in the pattern of factor loadings, in the second-order factor model, none of the primary factors loaded significantly on their respective secondary factors, thereby favoring the five-factor oblique model. The factors in this model were supported in terms of external validity. Despite this, the factor for PRO in this model showed low reliability for meaning interpretation. A revised four-factor oblique model without the PRO factor showed good fit, clarity in the pattern of factor loadings, and reliability and validity for the factors in this model, thereby suggesting this to be the best model to represent ratings on the QCAE. Copyright: © 2022 Gomez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Authors: Gomez, Rapson , Brown, Taylor , Watson, Shaun , Stavropoulos, Vasileios
- Date: 2022
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 17, no. 2 February (2022), p.
- Full Text:
- Reviewed:
- Description: The Questionnaire of Cognitive and Affective Empathy (QCAE) is a multiple dimensional measure of cognitive empathy [comprising primary factors for perspective taking (PT), online simulation (OS)], and affective empathy [comprising primary factors for emotion contagion (EC), proximal responsivity (PRO), and peripheral responsivity (PER)]. This study used independent clusters confirmatory factor analysis (ICM-CFA) and exploratory structural equation modeling (ESEM) to examine the scale’s factor structure. A general community sample of 203 (men = 43, women = 160) between 17 and 63 years completed the QCAE. Although both the five-factor oblique and second order factor models showed good model fit, and clarity in the pattern of factor loadings, in the second-order factor model, none of the primary factors loaded significantly on their respective secondary factors, thereby favoring the five-factor oblique model. The factors in this model were supported in terms of external validity. Despite this, the factor for PRO in this model showed low reliability for meaning interpretation. A revised four-factor oblique model without the PRO factor showed good fit, clarity in the pattern of factor loadings, and reliability and validity for the factors in this model, thereby suggesting this to be the best model to represent ratings on the QCAE. Copyright: © 2022 Gomez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Network analyses of Oppositional Defiant Disorder (ODD) symptoms in children
- Gomez, Rapson, Stavropoulos, Vasileios, Gomez, Andre, Brown, Taylor, Watson, Shaun
- Authors: Gomez, Rapson , Stavropoulos, Vasileios , Gomez, Andre , Brown, Taylor , Watson, Shaun
- Date: 2022
- Type: Text , Journal article
- Relation: BMC Psychiatry Vol. 22, no. 1 (2022), p. 263-263
- Full Text:
- Reviewed:
- Description: Based on parent and teacher ratings of their children, this study used regularized partial correlation network analysis (EBIC glasso) to examine the structure of DSM-5 Oppositional Defiant Disorder (ODD) symptoms. Parent and teachers (N = 934) from the general community in Malaysia completed questionnaires covering DSM-5 ODD symptoms. The most central ODD symptom for parent ratings was anger, followed by argue. For teacher ratings, it was anger, followed by defy. For both parent and teacher ratings, the networks revealed at least medium effect size connections for temper and argue, defy, and argue, blames others, and annoy, and spiteful and angry. Overall, the findings were highly comparable across parent and teacher ratings, and they showed a novel understanding of the structure of the ODD symptoms. The clinical implications of the findings for assessment and treatment of ODD are discussed.
- Authors: Gomez, Rapson , Stavropoulos, Vasileios , Gomez, Andre , Brown, Taylor , Watson, Shaun
- Date: 2022
- Type: Text , Journal article
- Relation: BMC Psychiatry Vol. 22, no. 1 (2022), p. 263-263
- Full Text:
- Reviewed:
- Description: Based on parent and teacher ratings of their children, this study used regularized partial correlation network analysis (EBIC glasso) to examine the structure of DSM-5 Oppositional Defiant Disorder (ODD) symptoms. Parent and teachers (N = 934) from the general community in Malaysia completed questionnaires covering DSM-5 ODD symptoms. The most central ODD symptom for parent ratings was anger, followed by argue. For teacher ratings, it was anger, followed by defy. For both parent and teacher ratings, the networks revealed at least medium effect size connections for temper and argue, defy, and argue, blames others, and annoy, and spiteful and angry. Overall, the findings were highly comparable across parent and teacher ratings, and they showed a novel understanding of the structure of the ODD symptoms. The clinical implications of the findings for assessment and treatment of ODD are discussed.
MSCET : a multi-scenario offloading schedule for biomedical data processing and analysis in cloud-edge-terminal collaborative vehicular networks
- Ni, Zhichen, Chen, Honglong, Li, Zhe, Wang, Xiaomeng, Yan, Na, Liu, Weifeng, Xia, Feng
- Authors: Ni, Zhichen , Chen, Honglong , Li, Zhe , Wang, Xiaomeng , Yan, Na , Liu, Weifeng , Xia, Feng
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 20, no. 4 (2023), p. 2376-2386
- Full Text:
- Reviewed:
- Description: With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoTs), an increasing number of computation intensive or delay sensitive biomedical data processing and analysis tasks are produced in vehicles, bringing more and more challenges to the biometric monitoring of drivers. Edge computing is a new paradigm to solve these challenges by offloading tasks from the resource-limited vehicles to Edge Servers (ESs) in Road Side Units (RSUs). However, most of the traditional offloading schedules for vehicular networks concentrate on the edge, while some tasks may be too complex for ESs to process. To this end, we consider a collaborative vehicular network in which the cloud, edge and terminal can cooperate with each other to accomplish the tasks. The vehicles can offload the computation intensive tasks to the cloud to save the resource of edge. We further construct the virtual resource pool which can integrate the resource of multiple ESs since some regions may be covered by multiple RSUs. In this paper, we propose a Multi-Scenario offloading schedule for biomedical data processing and analysis in Cloud-Edge-Terminal collaborative vehicular networks called MSCET. The parameters of the proposed MSCET are optimized to maximize the system utility. We also conduct extensive simulations to evaluate the proposed MSCET and the results illustrate that MSCET outperforms other existing schedules. © 2004-2012 IEEE.
- Authors: Ni, Zhichen , Chen, Honglong , Li, Zhe , Wang, Xiaomeng , Yan, Na , Liu, Weifeng , Xia, Feng
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 20, no. 4 (2023), p. 2376-2386
- Full Text:
- Reviewed:
- Description: With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoTs), an increasing number of computation intensive or delay sensitive biomedical data processing and analysis tasks are produced in vehicles, bringing more and more challenges to the biometric monitoring of drivers. Edge computing is a new paradigm to solve these challenges by offloading tasks from the resource-limited vehicles to Edge Servers (ESs) in Road Side Units (RSUs). However, most of the traditional offloading schedules for vehicular networks concentrate on the edge, while some tasks may be too complex for ESs to process. To this end, we consider a collaborative vehicular network in which the cloud, edge and terminal can cooperate with each other to accomplish the tasks. The vehicles can offload the computation intensive tasks to the cloud to save the resource of edge. We further construct the virtual resource pool which can integrate the resource of multiple ESs since some regions may be covered by multiple RSUs. In this paper, we propose a Multi-Scenario offloading schedule for biomedical data processing and analysis in Cloud-Edge-Terminal collaborative vehicular networks called MSCET. The parameters of the proposed MSCET are optimized to maximize the system utility. We also conduct extensive simulations to evaluate the proposed MSCET and the results illustrate that MSCET outperforms other existing schedules. © 2004-2012 IEEE.
Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
- Ong, Kanyin, Stafford, Lauryn, McLaughlin, Susan, Boyko, Edward, Vollset, Stein, Smith, Amanda, Dalton, Bronte, Duprey, Joe, Cruz, Jessica, Hagins, Hailey, Lindstedt, Paulina, Aali, Amirali, Abate, Yohannes, Abate, Melew, Abbasian, Mohammadreza, Abbasi-Kangevari, Zeinab, Abbasi-Kangevari, Mohsen, ElHafeez, Samar, Abd-Rabu, Rami, Abdulah, Deldar, Abdullah, Abu, Abedi, Vida, Abidi, Hassan, Aboagye, Richard, Abolhassani, Hassan, Abu-Gharbieh, Eshetie, Abu-Zaid, Ahmed, Adane, Tigist, Adane, Denberu, Rahman, Muhammad Aziz
- Authors: Ong, Kanyin , Stafford, Lauryn , McLaughlin, Susan , Boyko, Edward , Vollset, Stein , Smith, Amanda , Dalton, Bronte , Duprey, Joe , Cruz, Jessica , Hagins, Hailey , Lindstedt, Paulina , Aali, Amirali , Abate, Yohannes , Abate, Melew , Abbasian, Mohammadreza , Abbasi-Kangevari, Zeinab , Abbasi-Kangevari, Mohsen , ElHafeez, Samar , Abd-Rabu, Rami , Abdulah, Deldar , Abdullah, Abu , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abu-Gharbieh, Eshetie , Abu-Zaid, Ahmed , Adane, Tigist , Adane, Denberu , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: The Lancet Vol. 402, no. 10397 (2023), p. 203-234
- Full Text:
- Reviewed:
- Description: Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. Findings: In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. Interpretation: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disea e course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Ong, Kanyin , Stafford, Lauryn , McLaughlin, Susan , Boyko, Edward , Vollset, Stein , Smith, Amanda , Dalton, Bronte , Duprey, Joe , Cruz, Jessica , Hagins, Hailey , Lindstedt, Paulina , Aali, Amirali , Abate, Yohannes , Abate, Melew , Abbasian, Mohammadreza , Abbasi-Kangevari, Zeinab , Abbasi-Kangevari, Mohsen , ElHafeez, Samar , Abd-Rabu, Rami , Abdulah, Deldar , Abdullah, Abu , Abedi, Vida , Abidi, Hassan , Aboagye, Richard , Abolhassani, Hassan , Abu-Gharbieh, Eshetie , Abu-Zaid, Ahmed , Adane, Tigist , Adane, Denberu , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: The Lancet Vol. 402, no. 10397 (2023), p. 203-234
- Full Text:
- Reviewed:
- Description: Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. Findings: In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. Interpretation: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disea e course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
Exploring efficient techniques to decrease phosphorus levels in previously farmed land to promote the revival of indigenous grassland
- Shakir, Shakir, Florentine, Singarayer, Schultz, Nicholas
- Authors: Shakir, Shakir , Florentine, Singarayer , Schultz, Nicholas
- Date: 2023
- Type: Text , Journal article
- Relation: Passer Journal of Basic and Applied Sciences Vol. 5, no. 2 (2023), p. 371-376
- Full Text:
- Reviewed:
- Description: Restoration of native grasslands is challenging due to high soil phosphorus levels. Cultivation of plants with high phosphorus (P) absorption is an optimal solution to remove and decrease P from the soil. It has been demonstrated that native grassland taxa (species) of the genus Ptilotus have significant P-uptake. In a glasshouse study, Ptilotus macrocephalus and Ptilotus polystachyus were tested for their ability to reduce the amount of soil phosphorus that was readily available. Lupinus albus, a third species with a reputation for high phosphorus uptake, served as a comparison species, and a further treatment included Phoslock®, a soil additive that could bind soil phosphorus into insoluble forms. The findings revealed that phosphorus in the soil was absorbed at a high level via Ptilotus macrocephalus and Ptilotus polystachyus showed a maximum reduction of P (-2.58 and -2.55 ppm). It is argued that several years of planting and harvesting these plants will offer a workable method for lowering soil phosphorus levels. However, this only happened at high concentrations of 1500 g/m2 and when soil phosphorus concentrations were very high. Despite, the Phoslock®'s effectiveness in lowering soil-accessible phosphorus. At concentrations often observed in former agriculture paddocks, it proved less effective. The study's findings have improved our existing comprehension of reclaiming abandoned grassland. © 2023 Authors. All rights reserved.
- Authors: Shakir, Shakir , Florentine, Singarayer , Schultz, Nicholas
- Date: 2023
- Type: Text , Journal article
- Relation: Passer Journal of Basic and Applied Sciences Vol. 5, no. 2 (2023), p. 371-376
- Full Text:
- Reviewed:
- Description: Restoration of native grasslands is challenging due to high soil phosphorus levels. Cultivation of plants with high phosphorus (P) absorption is an optimal solution to remove and decrease P from the soil. It has been demonstrated that native grassland taxa (species) of the genus Ptilotus have significant P-uptake. In a glasshouse study, Ptilotus macrocephalus and Ptilotus polystachyus were tested for their ability to reduce the amount of soil phosphorus that was readily available. Lupinus albus, a third species with a reputation for high phosphorus uptake, served as a comparison species, and a further treatment included Phoslock®, a soil additive that could bind soil phosphorus into insoluble forms. The findings revealed that phosphorus in the soil was absorbed at a high level via Ptilotus macrocephalus and Ptilotus polystachyus showed a maximum reduction of P (-2.58 and -2.55 ppm). It is argued that several years of planting and harvesting these plants will offer a workable method for lowering soil phosphorus levels. However, this only happened at high concentrations of 1500 g/m2 and when soil phosphorus concentrations were very high. Despite, the Phoslock®'s effectiveness in lowering soil-accessible phosphorus. At concentrations often observed in former agriculture paddocks, it proved less effective. The study's findings have improved our existing comprehension of reclaiming abandoned grassland. © 2023 Authors. All rights reserved.
Studies on the impact of road freight transport and alternative modes in Australia: a literature study
- Peters, L., Chattopadhyay, Gopi, Tuck, Michael
- Authors: Peters, L. , Chattopadhyay, Gopi , Tuck, Michael
- Date: 2023
- Type: Text , Journal article
- Relation: International journal of system assurance engineering and management Vol. 14, no. Suppl 4 (2023), p. 954-960
- Full Text:
- Reviewed:
- Description: The freight sector in Australia has been growing at an ever-increasing rate due to domestic and international demand for goods, commodities, and resources. Increased volume of traffic comes with increased greenhouse gas. Greenhouse gas impacts climate change and air pollution, increasing the risk of public health and safety. The European Union used Marco Polo to shift transit freight from road to sea, rail, and inland waterways to reduce the number of trucks on the road to lessen congestion, less pollution, and more reliable and efficient transport of goods. Fuel Tax Credit was similarly introduced in Australia to address some of these issues. It is now time to analyse the impact of these schemes. This paper is a systematic literature review using the Mixed Method Appraisal Tool and Critical Appraisal Skills Programme. Findings include using alternative modes of transport for long distances reduces carbon dioxide and the likelihood of using renewable fuels like electric and hydrogen fuel for trucks. However, research was limited on renewable fuels.
- Authors: Peters, L. , Chattopadhyay, Gopi , Tuck, Michael
- Date: 2023
- Type: Text , Journal article
- Relation: International journal of system assurance engineering and management Vol. 14, no. Suppl 4 (2023), p. 954-960
- Full Text:
- Reviewed:
- Description: The freight sector in Australia has been growing at an ever-increasing rate due to domestic and international demand for goods, commodities, and resources. Increased volume of traffic comes with increased greenhouse gas. Greenhouse gas impacts climate change and air pollution, increasing the risk of public health and safety. The European Union used Marco Polo to shift transit freight from road to sea, rail, and inland waterways to reduce the number of trucks on the road to lessen congestion, less pollution, and more reliable and efficient transport of goods. Fuel Tax Credit was similarly introduced in Australia to address some of these issues. It is now time to analyse the impact of these schemes. This paper is a systematic literature review using the Mixed Method Appraisal Tool and Critical Appraisal Skills Programme. Findings include using alternative modes of transport for long distances reduces carbon dioxide and the likelihood of using renewable fuels like electric and hydrogen fuel for trucks. However, research was limited on renewable fuels.
Transforming global approaches to chronic disease prevention and management across the lifespan : integrating genomics, behavior change, and digital health solutions
- Thomas, Shane, Browning, Collette, Charchar, Fadi, Klein, Britt, Ory, Marcia, Bowden-Jones, Henrietta, Chamberlain, Samuel
- Authors: Thomas, Shane , Browning, Collette , Charchar, Fadi , Klein, Britt , Ory, Marcia , Bowden-Jones, Henrietta , Chamberlain, Samuel
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Public Health Vol. 11, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Chronic illnesses are a major threat to global population health through the lifespan into older age. Despite world-wide public health goals, there has been a steady increase in chronic and non-communicable diseases (e.g., cancer, cardiovascular and metabolic disorders) and strong growth in mental health disorders. In 2010, 67% of deaths worldwide were due to chronic diseases and this increased to 74% in 2019, with accelerated growth in the COVID-19 era and its aftermath. Aging and wellbeing across the lifespan are positively impacted by the presence of effective prevention and management of chronic illness that can enhance population health. This paper provides a short overview of the journey to this current situation followed by discussion of how we may better address what the World Health Organization has termed the “tsunami of chronic diseases.” In this paper we advocate for the development, validation, and subsequent deployment of integrated: 1. Polygenic and multifactorial risk prediction tools to screen for those at future risk of chronic disease and those with undiagnosed chronic disease. 2. Advanced preventive, behavior change and chronic disease management to maximize population health and wellbeing. 3. Digital health systems to support greater efficiencies in population-scale health prevention and intervention programs. It is argued that each of these actions individually has an emerging evidence base. However, there has been limited research to date concerning the combined population-level health effects of their integration. We outline the conceptual framework within which we are planning and currently conducting studies to investigate the effects of their integration. Copyright © 2023 Thomas, Browning, Charchar, Klein, Ory, Bowden-Jones and Chamberlain.
- Authors: Thomas, Shane , Browning, Collette , Charchar, Fadi , Klein, Britt , Ory, Marcia , Bowden-Jones, Henrietta , Chamberlain, Samuel
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Public Health Vol. 11, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Chronic illnesses are a major threat to global population health through the lifespan into older age. Despite world-wide public health goals, there has been a steady increase in chronic and non-communicable diseases (e.g., cancer, cardiovascular and metabolic disorders) and strong growth in mental health disorders. In 2010, 67% of deaths worldwide were due to chronic diseases and this increased to 74% in 2019, with accelerated growth in the COVID-19 era and its aftermath. Aging and wellbeing across the lifespan are positively impacted by the presence of effective prevention and management of chronic illness that can enhance population health. This paper provides a short overview of the journey to this current situation followed by discussion of how we may better address what the World Health Organization has termed the “tsunami of chronic diseases.” In this paper we advocate for the development, validation, and subsequent deployment of integrated: 1. Polygenic and multifactorial risk prediction tools to screen for those at future risk of chronic disease and those with undiagnosed chronic disease. 2. Advanced preventive, behavior change and chronic disease management to maximize population health and wellbeing. 3. Digital health systems to support greater efficiencies in population-scale health prevention and intervention programs. It is argued that each of these actions individually has an emerging evidence base. However, there has been limited research to date concerning the combined population-level health effects of their integration. We outline the conceptual framework within which we are planning and currently conducting studies to investigate the effects of their integration. Copyright © 2023 Thomas, Browning, Charchar, Klein, Ory, Bowden-Jones and Chamberlain.
Teaching and learning interventions designed to improve cultural competence in health profession students : a systematic review
- Nkhoma, Gloria, Lim, Chiao, Kennedy, Gerard, Stupans, Ieva
- Authors: Nkhoma, Gloria , Lim, Chiao , Kennedy, Gerard , Stupans, Ieva
- Date: 2023
- Type: Text , Journal article
- Relation: The Internet Journal of Allied Health Sciences and Practice Vol. 21, no. 3 (2023), p.
- Full Text:
- Reviewed:
- Description: Purpose: Developing healthcare profession students’ cultural competency knowledge, skills and attributes is critical to meet the needs of culturally and linguistically diverse healthcare service consumers. The purpose of this systematic review was to identify effective cultural competence interventions for healthcare profession students. Methods: A systematic review of peer reviewed articles published from 2010-2021 using PRISMA guidelines was conducted by searching CINAHL, EMBASE, ERIC, PubMed, and Psych INFO databases. Article quality was assessed using the Evaluation Tool for Quantitative Research and Mixed Method Appraisal Tool. Results: The initial search identified 2,261 potentially relevant studies, 41 studies met the inclusion criteria in which intervention effectiveness was evaluated using a validated outcome measure pre- and post- intervention. Only one study used a non-self-report outcome measure. Out of the 41 studies, only eight studies employed randomisation in the method. Conclusion/Recommendations: This review evaluated effectiveness of cultural competence interventions and evaluation of the intervention using either self-report or non-self-report validated outcome measures at pre- and post-intervention exposure. Combining cultural competence teaching methods such as lectures with simulations, role-playing and community engagement with diverse populations enhanced cultural competence. Further studies are required to compare effective cultural competence teaching models and identify reliable non-self-report outcome measures to assess the effectiveness of interventions post-exposure. Comparing effective cultural competence teaching models that utilise reliable non-self-report outcome measures will be valuable for guiding the design of teaching and learning interventions directed towards cultural competence. Further research is also required to examine the duration of intervention efficacy and how to maintain efficacy post-intervention exposure. Findings from this review are important for designing and structuring of cultural competence curriculum for healthcare profession students and informing future research on cultural competence teaching. This review has identified that most evaluation tools and studies have been designed for the nursing discipline. There is need to design more cultural competence evaluation tools and studies for other healthcare disciplines such as pharmacy and physical therapy.
- Authors: Nkhoma, Gloria , Lim, Chiao , Kennedy, Gerard , Stupans, Ieva
- Date: 2023
- Type: Text , Journal article
- Relation: The Internet Journal of Allied Health Sciences and Practice Vol. 21, no. 3 (2023), p.
- Full Text:
- Reviewed:
- Description: Purpose: Developing healthcare profession students’ cultural competency knowledge, skills and attributes is critical to meet the needs of culturally and linguistically diverse healthcare service consumers. The purpose of this systematic review was to identify effective cultural competence interventions for healthcare profession students. Methods: A systematic review of peer reviewed articles published from 2010-2021 using PRISMA guidelines was conducted by searching CINAHL, EMBASE, ERIC, PubMed, and Psych INFO databases. Article quality was assessed using the Evaluation Tool for Quantitative Research and Mixed Method Appraisal Tool. Results: The initial search identified 2,261 potentially relevant studies, 41 studies met the inclusion criteria in which intervention effectiveness was evaluated using a validated outcome measure pre- and post- intervention. Only one study used a non-self-report outcome measure. Out of the 41 studies, only eight studies employed randomisation in the method. Conclusion/Recommendations: This review evaluated effectiveness of cultural competence interventions and evaluation of the intervention using either self-report or non-self-report validated outcome measures at pre- and post-intervention exposure. Combining cultural competence teaching methods such as lectures with simulations, role-playing and community engagement with diverse populations enhanced cultural competence. Further studies are required to compare effective cultural competence teaching models and identify reliable non-self-report outcome measures to assess the effectiveness of interventions post-exposure. Comparing effective cultural competence teaching models that utilise reliable non-self-report outcome measures will be valuable for guiding the design of teaching and learning interventions directed towards cultural competence. Further research is also required to examine the duration of intervention efficacy and how to maintain efficacy post-intervention exposure. Findings from this review are important for designing and structuring of cultural competence curriculum for healthcare profession students and informing future research on cultural competence teaching. This review has identified that most evaluation tools and studies have been designed for the nursing discipline. There is need to design more cultural competence evaluation tools and studies for other healthcare disciplines such as pharmacy and physical therapy.
A step toward restoring hand functions in patients with multiple sclerosis—a study protocol
- Zoghi, Maryam, Jaberzadeh, Shapour
- Authors: Zoghi, Maryam , Jaberzadeh, Shapour
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Rehabilitation Sciences Vol. 4, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Multiple sclerosis (MS) is a chronic autoimmune disease characterized by inflammation, demyelination of axons, and oligodendrocyte loss in the central nervous system. This leads to neurological dysfunction, including hand impairment, which is prevalent among patients with MS. However, hand impairment is the least targeted area for neurorehabilitation studies. Therefore, this study proposes a novel approach to improve hand functions compared to current strategies. Studies have shown that learning new skills in the motor cortex (M1) can trigger the production of oligodendrocytes and myelin, which is a critical mechanism for neuroplasticity. Transcranial direct current stimulation (tDCS) has been used to enhance motor learning and function in human subjects. However, tDCS induces non-specific effects, and concurrent behavioral training has been found to optimize its benefits. Recent research indicates that applying tDCS during motor learning can have priming effects on the long-term potentiation mechanism and prolong the effects of motor training in health and disease. Therefore, this study aims to assess whether applying repeated tDCS during the learning of a new motor skill in M1 can be more effective in improving hand functions in patients with MS than current neurorehabilitation strategies. If this approach proves successful in improving hand functions in patients with MS, it could be adopted as a new approach to restore hand functions. Additionally, if the application of tDCS demonstrates an accumulative effect in improving hand functions in patients with MS, it could provide an adjunct intervention during rehabilitation for these patients. This study will contribute to the growing body of literature on the use of tDCS in neurorehabilitation and could have a significant impact on the quality of life of patients with MS. 2023 Zoghi and Jaberzadeh.
- Authors: Zoghi, Maryam , Jaberzadeh, Shapour
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Rehabilitation Sciences Vol. 4, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Multiple sclerosis (MS) is a chronic autoimmune disease characterized by inflammation, demyelination of axons, and oligodendrocyte loss in the central nervous system. This leads to neurological dysfunction, including hand impairment, which is prevalent among patients with MS. However, hand impairment is the least targeted area for neurorehabilitation studies. Therefore, this study proposes a novel approach to improve hand functions compared to current strategies. Studies have shown that learning new skills in the motor cortex (M1) can trigger the production of oligodendrocytes and myelin, which is a critical mechanism for neuroplasticity. Transcranial direct current stimulation (tDCS) has been used to enhance motor learning and function in human subjects. However, tDCS induces non-specific effects, and concurrent behavioral training has been found to optimize its benefits. Recent research indicates that applying tDCS during motor learning can have priming effects on the long-term potentiation mechanism and prolong the effects of motor training in health and disease. Therefore, this study aims to assess whether applying repeated tDCS during the learning of a new motor skill in M1 can be more effective in improving hand functions in patients with MS than current neurorehabilitation strategies. If this approach proves successful in improving hand functions in patients with MS, it could be adopted as a new approach to restore hand functions. Additionally, if the application of tDCS demonstrates an accumulative effect in improving hand functions in patients with MS, it could provide an adjunct intervention during rehabilitation for these patients. This study will contribute to the growing body of literature on the use of tDCS in neurorehabilitation and could have a significant impact on the quality of life of patients with MS. 2023 Zoghi and Jaberzadeh.
Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019 : a comprehensive demographic analysis for the Global Burden of Disease Study 2019
- Abd-Allah, Foad, Adebayo, Oladimeji, Agrawal, Anurag, Alam, Tahiya, Rahman, Muhammad Aziz
- Authors: Abd-Allah, Foad , Adebayo, Oladimeji , Agrawal, Anurag , Alam, Tahiya , Rahman, Muhammad Aziz
- Date: 2020
- Type: Text , Journal article
- Relation: Lancet Vol. 396, no. 10258 (2020), p. 1160-1203
- Full Text:
- Reviewed:
- Description: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66–2·79) in 2000 to 2·31 (2·17–2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5–137·8) in 2000 to a peak of 139·6 million (133·0–146·9) in 2016. Global livebirths then declined to 135·3 million (127·2–144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4–27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8–67·6) in 2000 to 73·5 years (72·8–74·3) in 2019. The total number of deaths increased from 50·7 million (49·5–51·9) in 2000 to 56·5 million (53·7–59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1–10·3) in 2000 to 5·0 million (4·3–6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0–6·3) in 2000 to 7·7 billion (7·5–8·0) in 2019. In 2019, 34 countries had negative natural rates of increase in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1–60·8) in 2000 to 63·5 years (60·8–66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Bill & Melinda Gates Foundation. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
- Authors: Abd-Allah, Foad , Adebayo, Oladimeji , Agrawal, Anurag , Alam, Tahiya , Rahman, Muhammad Aziz
- Date: 2020
- Type: Text , Journal article
- Relation: Lancet Vol. 396, no. 10258 (2020), p. 1160-1203
- Full Text:
- Reviewed:
- Description: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66–2·79) in 2000 to 2·31 (2·17–2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5–137·8) in 2000 to a peak of 139·6 million (133·0–146·9) in 2016. Global livebirths then declined to 135·3 million (127·2–144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4–27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8–67·6) in 2000 to 73·5 years (72·8–74·3) in 2019. The total number of deaths increased from 50·7 million (49·5–51·9) in 2000 to 56·5 million (53·7–59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1–10·3) in 2000 to 5·0 million (4·3–6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0–6·3) in 2000 to 7·7 billion (7·5–8·0) in 2019. In 2019, 34 countries had negative natural rates of increase in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1–60·8) in 2000 to 63·5 years (60·8–66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Bill & Melinda Gates Foundation. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Aziz Rahman” is provided in this record**
Bundle enrichment method for nonsmooth difference of convex programming problems
- Gaudioso, Manilo, Taheri, Sona, Bagirov, Adil, Karmitsa, Napsu
- Authors: Gaudioso, Manilo , Taheri, Sona , Bagirov, Adil , Karmitsa, Napsu
- Date: 2023
- Type: Text , Journal article
- Relation: Algorithms Vol. 16, no. 8 (2023), p.
- Relation: http://purl.org/au-research/grants/arc/DP190100580
- Full Text:
- Reviewed:
- Description: The Bundle Enrichment Method (BEM-DC) is introduced for solving nonsmooth difference of convex (DC) programming problems. The novelty of the method consists of the dynamic management of the bundle. More specifically, a DC model, being the difference of two convex piecewise affine functions, is formulated. The (global) minimization of the model is tackled by solving a set of convex problems whose cardinality depends on the number of linearizations adopted to approximate the second DC component function. The new bundle management policy distributes the information coming from previous iterations to separately model the DC components of the objective function. Such a distribution is driven by the sign of linearization errors. If the displacement suggested by the model minimization provides no sufficient decrease of the objective function, then the temporary enrichment of the cutting plane approximation of just the first DC component function takes place until either the termination of the algorithm is certified or a sufficient decrease is achieved. The convergence of the BEM-DC method is studied, and computational results on a set of academic test problems with nonsmooth DC objective functions are provided. © 2023 by the authors.
- Authors: Gaudioso, Manilo , Taheri, Sona , Bagirov, Adil , Karmitsa, Napsu
- Date: 2023
- Type: Text , Journal article
- Relation: Algorithms Vol. 16, no. 8 (2023), p.
- Relation: http://purl.org/au-research/grants/arc/DP190100580
- Full Text:
- Reviewed:
- Description: The Bundle Enrichment Method (BEM-DC) is introduced for solving nonsmooth difference of convex (DC) programming problems. The novelty of the method consists of the dynamic management of the bundle. More specifically, a DC model, being the difference of two convex piecewise affine functions, is formulated. The (global) minimization of the model is tackled by solving a set of convex problems whose cardinality depends on the number of linearizations adopted to approximate the second DC component function. The new bundle management policy distributes the information coming from previous iterations to separately model the DC components of the objective function. Such a distribution is driven by the sign of linearization errors. If the displacement suggested by the model minimization provides no sufficient decrease of the objective function, then the temporary enrichment of the cutting plane approximation of just the first DC component function takes place until either the termination of the algorithm is certified or a sufficient decrease is achieved. The convergence of the BEM-DC method is studied, and computational results on a set of academic test problems with nonsmooth DC objective functions are provided. © 2023 by the authors.