Five insights from the global burden of disease study 2019
- Abbafati, Christiana, Machado, Daiane, Cislaghi, Beniamino, Salman, Omar, Rahman, Muhammad Aziz
- Authors: Abbafati, Christiana , Machado, Daiane , Cislaghi, Beniamino , Salman, Omar , Rahman, Muhammad Aziz
- Date: 2020
- Type: Text , Journal article , Review
- Relation: The Lancet Vol. 396, no. 10258 (2020), p. 1135-1159
- Full Text:
- Reviewed:
- Description: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers. © 2020 Elsevier Ltd. **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: Abbafati, Christiana , Machado, Daiane , Cislaghi, Beniamino , Salman, Omar , Rahman, Muhammad Aziz
- Date: 2020
- Type: Text , Journal article , Review
- Relation: The Lancet Vol. 396, no. 10258 (2020), p. 1135-1159
- Full Text:
- Reviewed:
- Description: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers. © 2020 Elsevier Ltd. **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**
Can optimum solar radiation exposure or supplemented vitamin D intake reduce the severity of COVID-19 symptoms?
- Abraham, Joji, Dowling, Kim, Florentine, Singarayer
- Authors: Abraham, Joji , Dowling, Kim , Florentine, Singarayer
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 2 (2021), p. 1-21
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- Description: The foremost mortality-causing symptom associated with COVID-19 is acute respiratory distress syndrome (ARDS). A significant correlation has been identified between the deficiency in vitamin D and the risk of developing ARDS. It has been suggested that if we can reduce or modify ARDS in COVID-19 patients, we may significantly reduce the severity of COVID-19 symptoms and associated mortality rates. The increased mortality of dark-skinned people, who have a reduced UV absorption capacity, may be consistent with diminished vitamin D status. The factors associated with COVID-19 mortality, such as old age, ethnicity, obesity, hypertension, cardiovascular diseases, and diabetes, are all found to be linked with vitamin D deficiency. Based on this review and as a precautionary measure, it is suggested that the adoption of appropriate and safe solar exposure and vitamin D enriched foods and supplements should be considered to reduce the possible severity of COVID-19 symptoms. Safe sun exposure is deemed beneficial globally, specifically in low and middle- income countries, as there is no cost involved. It is also noted that improved solar exposure and vitamin D levels can reduce the impact of other diseases as well, thus assisting in maintaining general human well-being. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Abraham, Joji , Dowling, Kim , Florentine, Singarayer
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 2 (2021), p. 1-21
- Full Text:
- Reviewed:
- Description: The foremost mortality-causing symptom associated with COVID-19 is acute respiratory distress syndrome (ARDS). A significant correlation has been identified between the deficiency in vitamin D and the risk of developing ARDS. It has been suggested that if we can reduce or modify ARDS in COVID-19 patients, we may significantly reduce the severity of COVID-19 symptoms and associated mortality rates. The increased mortality of dark-skinned people, who have a reduced UV absorption capacity, may be consistent with diminished vitamin D status. The factors associated with COVID-19 mortality, such as old age, ethnicity, obesity, hypertension, cardiovascular diseases, and diabetes, are all found to be linked with vitamin D deficiency. Based on this review and as a precautionary measure, it is suggested that the adoption of appropriate and safe solar exposure and vitamin D enriched foods and supplements should be considered to reduce the possible severity of COVID-19 symptoms. Safe sun exposure is deemed beneficial globally, specifically in low and middle- income countries, as there is no cost involved. It is also noted that improved solar exposure and vitamin D levels can reduce the impact of other diseases as well, thus assisting in maintaining general human well-being. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Licorice (glycyrrhiza glabra) extracts-suitable pharmacological interventions for covid-19? a review
- Abraham, Joji, Florentine, Singarayer
- Authors: Abraham, Joji , Florentine, Singarayer
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Plants Vol. 10, no. 12 (2021), p.
- Full Text:
- Reviewed:
- Description: Even though vaccination has started against COVID-19, people should continue maintaining personal and social caution as it takes months or years to get everyone vaccinated, and we are not sure how long the vaccine remains efficacious. In order to contribute to the mitigation of COVID-19 symptoms, the pharmaceutical industry aims to develop antiviral drugs to inhibit the SARS-CoV-2 replication and produce anti-inflammatory medications that will inhibit the acute respiratory distress syndrome (ARDS), which is the primary cause of mortality among the COVID-19 patients. In reference to these tasks, this article considers the properties of a medicinal plant named licorice (Glycyrrhiza glabra), whose phytochemicals have shown both antiviral and anti-inflammatory tendencies through previous studies. All the literature was selected through extensive search in various databases such as google scholar, Scopus, the Web of Science, and PubMed. In addition to the antiviral and anti-inflammatory properties, one of the licorice components has an autophagy-enhancing mechanism that studies have suggested to be necessary for COVID-19 treatment. Based on reviewing relevant professional and historical literature regarding the medicinal properties of licorice, it is suggested that it may be worthwhile to conduct in vitro and in vivo studies, including clinical trials with glycyrrhizic and glycyrrhetinic acids together with other flavonoids found in licorice, as there is the potentiality to provide natural interventions against COVID-19 symptoms. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Licorice (glycyrrhiza glabra) extracts-suitable pharmacological interventions for covid-19? a review
- Authors: Abraham, Joji , Florentine, Singarayer
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Plants Vol. 10, no. 12 (2021), p.
- Full Text:
- Reviewed:
- Description: Even though vaccination has started against COVID-19, people should continue maintaining personal and social caution as it takes months or years to get everyone vaccinated, and we are not sure how long the vaccine remains efficacious. In order to contribute to the mitigation of COVID-19 symptoms, the pharmaceutical industry aims to develop antiviral drugs to inhibit the SARS-CoV-2 replication and produce anti-inflammatory medications that will inhibit the acute respiratory distress syndrome (ARDS), which is the primary cause of mortality among the COVID-19 patients. In reference to these tasks, this article considers the properties of a medicinal plant named licorice (Glycyrrhiza glabra), whose phytochemicals have shown both antiviral and anti-inflammatory tendencies through previous studies. All the literature was selected through extensive search in various databases such as google scholar, Scopus, the Web of Science, and PubMed. In addition to the antiviral and anti-inflammatory properties, one of the licorice components has an autophagy-enhancing mechanism that studies have suggested to be necessary for COVID-19 treatment. Based on reviewing relevant professional and historical literature regarding the medicinal properties of licorice, it is suggested that it may be worthwhile to conduct in vitro and in vivo studies, including clinical trials with glycyrrhizic and glycyrrhetinic acids together with other flavonoids found in licorice, as there is the potentiality to provide natural interventions against COVID-19 symptoms. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
The influence of probiotics on gastrointestinal tract infections among children attending childcare : a systematic review and meta-analysis
- Ahmad, Hafiz, Peck, Blake, Terry, Daniel
- Authors: Ahmad, Hafiz , Peck, Blake , Terry, Daniel
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Journal of Applied Microbiology Vol. 132, no. 3 (2022), p. 1636-1651
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- Description: Current literature related to the impact of probiotics on the incidence of gastrointestinal tract infections (GITIs) has shown mixed results and no systematic review available with pooled analysis exists. Thus, the aim of this systematic review was to provide contemporary evidence regarding the overall and strain-specific influence of probiotics in preventing GITIs among infants and children attending childcare centres. The review shortlisted 18 RCTs after screening through the initial search results of 779 articles. However, only 15 trials were deemed eligible, addressing at least one outcome in the pooled analysis. It is concluded that the supplementation of probiotics (overall effect) may reduce the risk of GITI episode by 26%, with Lacticaseibacillus paracasei, Limosilactobacillus reuteri and Lacticaseibacillus rhamnosus GG being specifically potent probiotic strains in reducing GITI episode, duration of infection and absence from childcare respectively. There is insufficient evidence to determine the effect of Bifidobacterium animalis subsp. lactis BB-12 based on the findings of the trials included in this review. © 2021 The Society for Applied Microbiology
- Authors: Ahmad, Hafiz , Peck, Blake , Terry, Daniel
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Journal of Applied Microbiology Vol. 132, no. 3 (2022), p. 1636-1651
- Full Text:
- Reviewed:
- Description: Current literature related to the impact of probiotics on the incidence of gastrointestinal tract infections (GITIs) has shown mixed results and no systematic review available with pooled analysis exists. Thus, the aim of this systematic review was to provide contemporary evidence regarding the overall and strain-specific influence of probiotics in preventing GITIs among infants and children attending childcare centres. The review shortlisted 18 RCTs after screening through the initial search results of 779 articles. However, only 15 trials were deemed eligible, addressing at least one outcome in the pooled analysis. It is concluded that the supplementation of probiotics (overall effect) may reduce the risk of GITI episode by 26%, with Lacticaseibacillus paracasei, Limosilactobacillus reuteri and Lacticaseibacillus rhamnosus GG being specifically potent probiotic strains in reducing GITI episode, duration of infection and absence from childcare respectively. There is insufficient evidence to determine the effect of Bifidobacterium animalis subsp. lactis BB-12 based on the findings of the trials included in this review. © 2021 The Society for Applied Microbiology
Tumour microenvironment and metabolic plasticity in cancer and cancer stem cells : Perspectives on metabolic and immune regulatory signatures in chemoresistant ovarian cancer stem cells
- Ahmed, Nuzhat, Escalona, Ruth, Leung, Dilys, Chan, Emily, Kannourakis, George
- Authors: Ahmed, Nuzhat , Escalona, Ruth , Leung, Dilys , Chan, Emily , Kannourakis, George
- Date: 2018
- Type: Text , Journal article , Review
- Relation: Seminars in Cancer Biology Vol. 53, no. (2018), p. 265-281
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- Description: Cancer stem cells (CSCs) are a sub-population of tumour cells, which are responsible to drive tumour growth, metastasis and therapy resistance. It has recently been proposed that enhanced glucose metabolism and immune evasion by tumour cells are linked, and are modulated by the changing tumour microenvironment (TME) that creates a competition for nutrient consumption between tumour and different sub-types of cells attracted to the TME. To facilitate efficient nutrient distribution, oncogene-induced inflammatory milieu in the tumours facilitate adaptive metabolic changes in the surrounding non-malignant cells to secrete metabolites that are used as alternative nutrient sources by the tumours to sustain its increasing energy needs for growth and anabolic functions. This scenario also affects CSCs residing at the primary or metastatic niches. This review summarises recent advances in our understanding of the metabolic phenotypes of cancer cells and CSCs and how these processes are affected by the TME. We also discuss how the evolving TME modulates tumour cells and CSCs in cancer progression. Using previously described proteomic and genomic platforms, ovarian cancer cell lines and a mouse xenograft model we highlight the existence of metabolic and immune regulatory signatures in chemoresistant ovarian CSCs, and discuss how these processes may affect recurrence in ovarian tumours. We propose that progress in cancer control and eradication may depend not only on the elimination of highly chemoresistant CSCs, but also in designing novel strategies which would intervene with the tumour-promoting TME factors.
- Authors: Ahmed, Nuzhat , Escalona, Ruth , Leung, Dilys , Chan, Emily , Kannourakis, George
- Date: 2018
- Type: Text , Journal article , Review
- Relation: Seminars in Cancer Biology Vol. 53, no. (2018), p. 265-281
- Full Text:
- Reviewed:
- Description: Cancer stem cells (CSCs) are a sub-population of tumour cells, which are responsible to drive tumour growth, metastasis and therapy resistance. It has recently been proposed that enhanced glucose metabolism and immune evasion by tumour cells are linked, and are modulated by the changing tumour microenvironment (TME) that creates a competition for nutrient consumption between tumour and different sub-types of cells attracted to the TME. To facilitate efficient nutrient distribution, oncogene-induced inflammatory milieu in the tumours facilitate adaptive metabolic changes in the surrounding non-malignant cells to secrete metabolites that are used as alternative nutrient sources by the tumours to sustain its increasing energy needs for growth and anabolic functions. This scenario also affects CSCs residing at the primary or metastatic niches. This review summarises recent advances in our understanding of the metabolic phenotypes of cancer cells and CSCs and how these processes are affected by the TME. We also discuss how the evolving TME modulates tumour cells and CSCs in cancer progression. Using previously described proteomic and genomic platforms, ovarian cancer cell lines and a mouse xenograft model we highlight the existence of metabolic and immune regulatory signatures in chemoresistant ovarian CSCs, and discuss how these processes may affect recurrence in ovarian tumours. We propose that progress in cancer control and eradication may depend not only on the elimination of highly chemoresistant CSCs, but also in designing novel strategies which would intervene with the tumour-promoting TME factors.
Ovarian cancer, cancer stem cells and current treatment strategies : a potential role of magmas in the current treatment methods
- Ahmed, Nuzhat, Kadife, Elif, Raza, Ali, Short, Mary, Jubinsky, Paul, Kannourakis, George
- Authors: Ahmed, Nuzhat , Kadife, Elif , Raza, Ali , Short, Mary , Jubinsky, Paul , Kannourakis, George
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Cells Vol. 9, no. 3 (Mar 2020), p. 35
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- Description: Epithelial ovarian cancer (EOC) constitutes 90% of ovarian cancers (OC) and is the eighth most common cause of cancer-related death in women. The cancer histologically and genetically is very complex having a high degree of tumour heterogeneity. The pathogenic variability in OC causes significant impediments in effectively treating patients, resulting in a dismal prognosis. Disease progression is predominantly influenced by the peritoneal tumour microenvironment rather than properties of the tumor and is the major contributor to prognosis. Standard treatment of OC patients consists of debulking surgery, followed by chemotherapy, which in most cases end in recurrent chemoresistant disease. This review discusses the different origins of high-grade serous ovarian cancer (HGSOC), the major sub-type of EOC. Tumour heterogeneity, genetic/epigenetic changes, and cancer stem cells (CSC) in facilitating HGSOC progression and their contribution in the circumvention of therapy treatments are included. Several new treatment strategies are discussed including our preliminary proof of concept study describing the role of mitochondria-associated granulocyte macrophage colony-stimulating factor signaling protein (Magmas) in HGSOC and its unique potential role in chemotherapy-resistant disease.
- Authors: Ahmed, Nuzhat , Kadife, Elif , Raza, Ali , Short, Mary , Jubinsky, Paul , Kannourakis, George
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Cells Vol. 9, no. 3 (Mar 2020), p. 35
- Full Text:
- Reviewed:
- Description: Epithelial ovarian cancer (EOC) constitutes 90% of ovarian cancers (OC) and is the eighth most common cause of cancer-related death in women. The cancer histologically and genetically is very complex having a high degree of tumour heterogeneity. The pathogenic variability in OC causes significant impediments in effectively treating patients, resulting in a dismal prognosis. Disease progression is predominantly influenced by the peritoneal tumour microenvironment rather than properties of the tumor and is the major contributor to prognosis. Standard treatment of OC patients consists of debulking surgery, followed by chemotherapy, which in most cases end in recurrent chemoresistant disease. This review discusses the different origins of high-grade serous ovarian cancer (HGSOC), the major sub-type of EOC. Tumour heterogeneity, genetic/epigenetic changes, and cancer stem cells (CSC) in facilitating HGSOC progression and their contribution in the circumvention of therapy treatments are included. Several new treatment strategies are discussed including our preliminary proof of concept study describing the role of mitochondria-associated granulocyte macrophage colony-stimulating factor signaling protein (Magmas) in HGSOC and its unique potential role in chemotherapy-resistant disease.
Knowledge and awareness of diabetes mellitus and its risk factors in Saudi Arabia
- Alanazi, Faisal, Alotaibi, Jazi, Paliadelis, Penny, Alqarawi, Nada, Alsharari, Abdaldarem, Albagawi, Bander
- Authors: Alanazi, Faisal , Alotaibi, Jazi , Paliadelis, Penny , Alqarawi, Nada , Alsharari, Abdaldarem , Albagawi, Bander
- Date: 2018
- Type: Text , Journal article , Review
- Relation: Saudi Medical Journal Vol. 39, no. 10 (2018), p. 981-989
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- Description: Objectives: To summarize available peer-reviewed publications about public knowledge and awareness of diabetes mellitus (DM) among the population of Saudi Arabia. Methods: We followed the standard reporting guidelines outlined in the PRISMA statement for the preparation of this systematic review. In February 2018 we conducted literature searches of PubMed, Scopus, BIOSIS Citation Index, and Web of Science using the following keywords: “Knowledge” OR “Awareness” AND “Diabetes Mellitus” AND “Saudi Arabia.” Records were screened, and relevant studies were selected and synthesized narratively. Results: Nineteen articles are included in our systematic review. These studies included the following populations: DM patients (n=13), healthcare workers (n=3), medical students (n=1), secondary school students (n=1), and general population (n=1). Most studies found a lack of public awareness of the risk factors and complications of DM. Among medical students and healthcare workers, knowledge about the epidemiology of the disease and angle of insulin injection was deficient. Conclusion: This review highlights the need for increased knowledge and awareness of DM among the Saudi population. The means of improving knowledge and awareness of DM needs to be integrated into existing healthcare systems and processes to better inform patients, families, and communities about this chronic disease.
- Authors: Alanazi, Faisal , Alotaibi, Jazi , Paliadelis, Penny , Alqarawi, Nada , Alsharari, Abdaldarem , Albagawi, Bander
- Date: 2018
- Type: Text , Journal article , Review
- Relation: Saudi Medical Journal Vol. 39, no. 10 (2018), p. 981-989
- Full Text:
- Reviewed:
- Description: Objectives: To summarize available peer-reviewed publications about public knowledge and awareness of diabetes mellitus (DM) among the population of Saudi Arabia. Methods: We followed the standard reporting guidelines outlined in the PRISMA statement for the preparation of this systematic review. In February 2018 we conducted literature searches of PubMed, Scopus, BIOSIS Citation Index, and Web of Science using the following keywords: “Knowledge” OR “Awareness” AND “Diabetes Mellitus” AND “Saudi Arabia.” Records were screened, and relevant studies were selected and synthesized narratively. Results: Nineteen articles are included in our systematic review. These studies included the following populations: DM patients (n=13), healthcare workers (n=3), medical students (n=1), secondary school students (n=1), and general population (n=1). Most studies found a lack of public awareness of the risk factors and complications of DM. Among medical students and healthcare workers, knowledge about the epidemiology of the disease and angle of insulin injection was deficient. Conclusion: This review highlights the need for increased knowledge and awareness of DM among the Saudi population. The means of improving knowledge and awareness of DM needs to be integrated into existing healthcare systems and processes to better inform patients, families, and communities about this chronic disease.
Roles of selective agriculture practices in sustainable agricultural performance : a systematic review
- Ali, Basharat, Dahlhaus, Peter
- Authors: Ali, Basharat , Dahlhaus, Peter
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Sustainability (Switzerland) Vol. 14, no. 6 (2022), p.
- Full Text:
- Reviewed:
- Description: Feeding the growing global population while improving the Earth’s economic, environmental, and social values is a challenge recognised in both the United Nations Sustainable Development Goals and the United Nations Framework Convention on Climate Change. Sustaining global agricultural performance requires regular revision of current farming models, attitudes, and practices. In systematically reviewing the international literature through the lens of the sustainability framework, this paper specifically identifies precision conservation agriculture (PCA), digital agriculture (DA), and resilient agriculture (RA) practices as being of value in meeting future challenges. Each of these adaptations carries significantly positive relationships with sustaining agricultural performance, as well as positively mediating and/or moderating each other. While it is clear from the literature that adopting PCA, DA, and RA would substantially improve the sustainability of agricultural performance, the uptake of these adaptations generally lags. More in-depth social science research is required to understand the value propositions that would encourage uptake of these adaptations and the barriers that prevent them. Recommendations are made to explore the specific knowledge gap that needs to be understood to motivate agriculture practitioners to adopt these changes in practice. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Ali, Basharat , Dahlhaus, Peter
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Sustainability (Switzerland) Vol. 14, no. 6 (2022), p.
- Full Text:
- Reviewed:
- Description: Feeding the growing global population while improving the Earth’s economic, environmental, and social values is a challenge recognised in both the United Nations Sustainable Development Goals and the United Nations Framework Convention on Climate Change. Sustaining global agricultural performance requires regular revision of current farming models, attitudes, and practices. In systematically reviewing the international literature through the lens of the sustainability framework, this paper specifically identifies precision conservation agriculture (PCA), digital agriculture (DA), and resilient agriculture (RA) practices as being of value in meeting future challenges. Each of these adaptations carries significantly positive relationships with sustaining agricultural performance, as well as positively mediating and/or moderating each other. While it is clear from the literature that adopting PCA, DA, and RA would substantially improve the sustainability of agricultural performance, the uptake of these adaptations generally lags. More in-depth social science research is required to understand the value propositions that would encourage uptake of these adaptations and the barriers that prevent them. Recommendations are made to explore the specific knowledge gap that needs to be understood to motivate agriculture practitioners to adopt these changes in practice. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Bone char as a green sorbent for removing health threatening fluoride from drinking water
- Alkurdi, Susan, Al-Juboori, Raed, Bundschuh, Jochen, Hamawand, Ihsan
- Authors: Alkurdi, Susan , Al-Juboori, Raed , Bundschuh, Jochen , Hamawand, Ihsan
- Date: 2019
- Type: Text , Journal article , Review
- Relation: Environment International Vol. 127, no. (2019), p. 704-719
- Full Text:
- Reviewed:
- Description: Millions of people around the world suffer from or prone to health problems caused by high concentration of fluoride in drinking water sources. One of the environmentally friendly and cost-effective ways for removing fluoride is the use of bone char. In this review, the structural properties and binding affinity of fluoride ions from different water sources was critically discussed. The effect of experimental conditions on enhancing the adsorption capacity of fluoride ions using bone char samples was addressed. It appears that surface properties, and conditions of the bone char production such as temperature and residence time play an important role in designing the optimal fluoride removal process. The optimum temperature for fluoride removal seems to be in the range of 500–700 °C and a residence time of 2 h. Applying various equilibrium adsorption isotherms for understanding fluoride adsorption mechanism was presented. The effect of bone char modification with different elements were discussed and recommendations for a further increase in the removal efficiency was proposed. Cost of bone char production and large-scale treatment systems were also discussed based on information available from scientific and commercial sources. Challenges with existing domestic defluoridation designs were highlighted and suggestions for new conceptual designs were provided.
- Authors: Alkurdi, Susan , Al-Juboori, Raed , Bundschuh, Jochen , Hamawand, Ihsan
- Date: 2019
- Type: Text , Journal article , Review
- Relation: Environment International Vol. 127, no. (2019), p. 704-719
- Full Text:
- Reviewed:
- Description: Millions of people around the world suffer from or prone to health problems caused by high concentration of fluoride in drinking water sources. One of the environmentally friendly and cost-effective ways for removing fluoride is the use of bone char. In this review, the structural properties and binding affinity of fluoride ions from different water sources was critically discussed. The effect of experimental conditions on enhancing the adsorption capacity of fluoride ions using bone char samples was addressed. It appears that surface properties, and conditions of the bone char production such as temperature and residence time play an important role in designing the optimal fluoride removal process. The optimum temperature for fluoride removal seems to be in the range of 500–700 °C and a residence time of 2 h. Applying various equilibrium adsorption isotherms for understanding fluoride adsorption mechanism was presented. The effect of bone char modification with different elements were discussed and recommendations for a further increase in the removal efficiency was proposed. Cost of bone char production and large-scale treatment systems were also discussed based on information available from scientific and commercial sources. Challenges with existing domestic defluoridation designs were highlighted and suggestions for new conceptual designs were provided.
Biochar versus bone char for a sustainable inorganic arsenic mitigation in water : What needs to be done in future research?
- Alkurdi, Susan, Herath, Indika, Bundschuh, Jochen, Al-Juboori, Raed, Vithanage, Meththika, Mohan, Dinesh
- Authors: Alkurdi, Susan , Herath, Indika , Bundschuh, Jochen , Al-Juboori, Raed , Vithanage, Meththika , Mohan, Dinesh
- Date: 2019
- Type: Text , Journal article , Review
- Relation: Environment International Vol. 127, no. (2019), p. 52-69
- Full Text:
- Reviewed:
- Description: Arsenic (As) is an emerging contaminant on a global scale posing threat to environmental and human health. The relatively brief history of the applications of biochar and bone char has mapped the endeavors to remove As from water to a considerable extent. This critical review attempts to provide a comprehensive overview for the first time on the potential of bio- and bone-char in the immobilization of inorganic As in water. It seeks to offer a rational assessment of what is existing and what needs to be done in future research as an implication for As toxicity of human health risks through acute and chronic exposure to As contaminated water. Bio- and bone-char are recognized as promising alternatives to activated carbon due to their lower production and activation cost. The surface modification via chemical methods has been adopted to improve the adsorption capacity for anionic As species. Surface complexation, ion exchange, precipitation and electrostatic interactions are the main mechanisms involved in the adsorption of As onto the char surface. However, arsenic-bio-bone char interactions along with their chemical bonding for the removal of As in aqueous solution is still a subject of debate. Hence, the proposed mechanisms need to be scrutinized further using advanced analytical techniques such as synchrotron-based X-ray. Moving this technology from laboratory phase to field scale applications is an urgent necessity in order to establish a sustainable As mitigation in drinking water on a global scale.
- Authors: Alkurdi, Susan , Herath, Indika , Bundschuh, Jochen , Al-Juboori, Raed , Vithanage, Meththika , Mohan, Dinesh
- Date: 2019
- Type: Text , Journal article , Review
- Relation: Environment International Vol. 127, no. (2019), p. 52-69
- Full Text:
- Reviewed:
- Description: Arsenic (As) is an emerging contaminant on a global scale posing threat to environmental and human health. The relatively brief history of the applications of biochar and bone char has mapped the endeavors to remove As from water to a considerable extent. This critical review attempts to provide a comprehensive overview for the first time on the potential of bio- and bone-char in the immobilization of inorganic As in water. It seeks to offer a rational assessment of what is existing and what needs to be done in future research as an implication for As toxicity of human health risks through acute and chronic exposure to As contaminated water. Bio- and bone-char are recognized as promising alternatives to activated carbon due to their lower production and activation cost. The surface modification via chemical methods has been adopted to improve the adsorption capacity for anionic As species. Surface complexation, ion exchange, precipitation and electrostatic interactions are the main mechanisms involved in the adsorption of As onto the char surface. However, arsenic-bio-bone char interactions along with their chemical bonding for the removal of As in aqueous solution is still a subject of debate. Hence, the proposed mechanisms need to be scrutinized further using advanced analytical techniques such as synchrotron-based X-ray. Moving this technology from laboratory phase to field scale applications is an urgent necessity in order to establish a sustainable As mitigation in drinking water on a global scale.
Fermentation and the microbial community of Japanese koji and miso : a review
- Allwood, Joanne, Wakeling, Lara, Bean, David
- Authors: Allwood, Joanne , Wakeling, Lara , Bean, David
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Journal of Food Science Vol. 86, no. 6 (2021), p. 2194-2207
- Full Text:
- Reviewed:
- Description: Abstract: Miso is a well-known traditional Japanese fermented food, with a characteristic savory flavor and aroma, known predominately as the seasoning in miso soup. Miso production involves a two-stage fermentation, where first a mold, such as Aspergillus oryzae, is inoculated onto a substrate to make koji. A subsequent fermentation, this time by bacteria and yeast, occurs when the koji is added to a salt and soybean mash, with the miso left to ferment for up to 2 years. The microbial community of miso is considered essential to the development of the unique taste, texture, and nutritional profile of miso. Despite the importance of microorganisms in the production of miso, very little research has been undertaken to characterize and describe the microbial process. In this review, we provide an overview of the two-stage fermentation process, describe what is currently known about the microbial communities involved and consider any potential health benefits associated with the consumption of miso, along with food safety concerns. As the popularity of miso continues to expand globally and is produced under new environmental conditions, understanding the microbiological processes involved will assist to ensure that global production of miso is safe as well as delicious. © 2021 Institute of Food Technologists®
- Authors: Allwood, Joanne , Wakeling, Lara , Bean, David
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Journal of Food Science Vol. 86, no. 6 (2021), p. 2194-2207
- Full Text:
- Reviewed:
- Description: Abstract: Miso is a well-known traditional Japanese fermented food, with a characteristic savory flavor and aroma, known predominately as the seasoning in miso soup. Miso production involves a two-stage fermentation, where first a mold, such as Aspergillus oryzae, is inoculated onto a substrate to make koji. A subsequent fermentation, this time by bacteria and yeast, occurs when the koji is added to a salt and soybean mash, with the miso left to ferment for up to 2 years. The microbial community of miso is considered essential to the development of the unique taste, texture, and nutritional profile of miso. Despite the importance of microorganisms in the production of miso, very little research has been undertaken to characterize and describe the microbial process. In this review, we provide an overview of the two-stage fermentation process, describe what is currently known about the microbial communities involved and consider any potential health benefits associated with the consumption of miso, along with food safety concerns. As the popularity of miso continues to expand globally and is produced under new environmental conditions, understanding the microbiological processes involved will assist to ensure that global production of miso is safe as well as delicious. © 2021 Institute of Food Technologists®
Food safety considerations in the production of traditional fermented products : Japanese rice koji and miso
- Allwood, Joanne, Wakeling, Lara, Post, Laurie, Bean, David
- Authors: Allwood, Joanne , Wakeling, Lara , Post, Laurie , Bean, David
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Journal of Food Safety Vol. 43, no. 4 (2023), p.
- Full Text:
- Reviewed:
- Description: While established in Asia, rice koji and miso are fermented foods that are becoming more popular in western countries. They have been shown to contain a variety of microorganisms, consisting of bacteria, yeasts, and fungal species. Many contemporary miso varieties are not pasteurized as consumers are looking for more natural products, and/or have the desire to consume fermented foods containing live microorganisms. While correctly prepared fermented foods are rarely associated with food safety outbreaks, incidences have been recorded. On these occasions, pathogenic, or spoilage microorganisms were introduced into the products from external sources such as the raw material or the processing environment. Consequently, hygiene and fermentation conditions need to be carefully monitored to ensure food safety. Furthermore, many of the production steps during koji and miso manufacture do not fit into contemporary food safety guidelines for foods. Although pH is a required food safety hurdle for fermented foods, this does not apply to nonacidic foods such as koji or miso. This review focuses on control of microbial pathogens and discusses the processes of miso fermentation, and how fermentation of rice koji and miso fits with current food safety hurdles in western countries. © 2023 The Authors. Journal of Food Safety published by Wiley Periodicals LLC.
- Authors: Allwood, Joanne , Wakeling, Lara , Post, Laurie , Bean, David
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Journal of Food Safety Vol. 43, no. 4 (2023), p.
- Full Text:
- Reviewed:
- Description: While established in Asia, rice koji and miso are fermented foods that are becoming more popular in western countries. They have been shown to contain a variety of microorganisms, consisting of bacteria, yeasts, and fungal species. Many contemporary miso varieties are not pasteurized as consumers are looking for more natural products, and/or have the desire to consume fermented foods containing live microorganisms. While correctly prepared fermented foods are rarely associated with food safety outbreaks, incidences have been recorded. On these occasions, pathogenic, or spoilage microorganisms were introduced into the products from external sources such as the raw material or the processing environment. Consequently, hygiene and fermentation conditions need to be carefully monitored to ensure food safety. Furthermore, many of the production steps during koji and miso manufacture do not fit into contemporary food safety guidelines for foods. Although pH is a required food safety hurdle for fermented foods, this does not apply to nonacidic foods such as koji or miso. This review focuses on control of microbial pathogens and discusses the processes of miso fermentation, and how fermentation of rice koji and miso fits with current food safety hurdles in western countries. © 2023 The Authors. Journal of Food Safety published by Wiley Periodicals LLC.
Blending big data analytics : review on challenges and a recent study
- Amalina, Fairuz, Targio Hashem, Ibrahim, Azizul, Zati, Fong, Ang, Imran, Muhammad
- Authors: Amalina, Fairuz , Targio Hashem, Ibrahim , Azizul, Zati , Fong, Ang , Imran, Muhammad
- Date: 2020
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 8, no. (2020), p. 3629-3645
- Full Text:
- Reviewed:
- Description: With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations. These collected data can contain important information that may be key to solving wide-ranging problems, such as cyber security, marketing, healthcare, and fraud. To analyze their large volumes of data for business analyses and decisions, large companies, such as Facebook and Google, adopt analytics. Such analyses and decisions impact existing and future technology. In this paper, we explore how big data analytics is utilized as a technique for solving problems of complex and unstructured data using such technologies as Hadoop, Spark, and MapReduce. We also discuss the data challenges introduced by big data according to the literature, including its six V's. Moreover, we investigate case studies of big data analytics on various techniques of such analytics, namely, text, voice, video, and network analytics. We conclude that big data analytics can bring positive changes in many fields, such as education, military, healthcare, politics, business, agriculture, banking, and marketing, in the future. © 2013 IEEE.
- Authors: Amalina, Fairuz , Targio Hashem, Ibrahim , Azizul, Zati , Fong, Ang , Imran, Muhammad
- Date: 2020
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 8, no. (2020), p. 3629-3645
- Full Text:
- Reviewed:
- Description: With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations. These collected data can contain important information that may be key to solving wide-ranging problems, such as cyber security, marketing, healthcare, and fraud. To analyze their large volumes of data for business analyses and decisions, large companies, such as Facebook and Google, adopt analytics. Such analyses and decisions impact existing and future technology. In this paper, we explore how big data analytics is utilized as a technique for solving problems of complex and unstructured data using such technologies as Hadoop, Spark, and MapReduce. We also discuss the data challenges introduced by big data according to the literature, including its six V's. Moreover, we investigate case studies of big data analytics on various techniques of such analytics, namely, text, voice, video, and network analytics. We conclude that big data analytics can bring positive changes in many fields, such as education, military, healthcare, politics, business, agriculture, banking, and marketing, in the future. © 2013 IEEE.
Mental health nurses’ attitudes towards consumers with co-existing mental health and drug and alcohol problems : a scoping review
- Anandan, Roopalal, Cross, Wendy, Olasoji, Michael
- Authors: Anandan, Roopalal , Cross, Wendy , Olasoji, Michael
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Issues in Mental Health Nursing Vol. 42, no. 4 (2020), p. 346-357
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- Description: Consumers with co-existing mental health and drug/alcohol problems are exposed to more stigma than those with any other health problems. This scoping review aimed to systematically map the available literature regarding mental health nurses' attitudes, empathy, and caring efficacy towards consumers with a dual diagnosis. Twenty studies reported outcomes regarding nurse attitudes; however, none reported nurses' empathy or caring efficacy towards consumers with a dual diagnosis. Further research is required to advance the evidence on the impact of mental health nurses' attitudes, empathy and caring effectiveness, and the outcomes should lead to improved service delivery for consumers with a dual diagnosis. © 2020 Taylor & Francis Group, LLC.
- Authors: Anandan, Roopalal , Cross, Wendy , Olasoji, Michael
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Issues in Mental Health Nursing Vol. 42, no. 4 (2020), p. 346-357
- Full Text:
- Reviewed:
- Description: Consumers with co-existing mental health and drug/alcohol problems are exposed to more stigma than those with any other health problems. This scoping review aimed to systematically map the available literature regarding mental health nurses' attitudes, empathy, and caring efficacy towards consumers with a dual diagnosis. Twenty studies reported outcomes regarding nurse attitudes; however, none reported nurses' empathy or caring efficacy towards consumers with a dual diagnosis. Further research is required to advance the evidence on the impact of mental health nurses' attitudes, empathy and caring effectiveness, and the outcomes should lead to improved service delivery for consumers with a dual diagnosis. © 2020 Taylor & Francis Group, LLC.
Defining timeliness in care for patients with lung cancer : a scoping review
- Ansar, Adnan, Lewis, Virginia, McDonald, Christine, Liu, Chaojie, Rahman, Muhammad Aziz
- Authors: Ansar, Adnan , Lewis, Virginia , McDonald, Christine , Liu, Chaojie , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article , Review
- Relation: BMJ Open Vol. 12, no. 4 (2022), p.
- Full Text:
- Reviewed:
- Description: Objectives Early diagnosis and reducing the time taken to achieve each step of lung cancer care is essential. This scoping review aimed to examine time points and intervals used to measure timeliness and to critically assess how they are defined by existing studies of the care seeking pathway for lung cancer. Methods This scoping review was guided by the methodological framework for scoping reviews by Arksey and O'Malley. MEDLINE, EMBASE, CINAHL and PsycINFO electronic databases were searched for articles published between 1999 and 2019. After duplicate removal, all publications went through title and abstract screening followed by full text review and inclusion of articles in the review against the selection criteria. A narrative synthesis describes the time points, intervals and measurement guidelines used by the included articles. Results A total of 2113 articles were identified from the initial search. Finally, 68 articles were included for data charting process. Eight time points and 14 intervals were identified as the most common events researched by the articles. Eighteen different lung cancer care guidelines were used to benchmark intervals in the included articles; all were developed in Western countries. The British Thoracic Society guideline was the most frequently used guideline (20%). Western guidelines were used by the studies in Asian countries despite differences in the health system structure. Conclusion This review identified substantial variations in definitions of some of the intervals used to describe timeliness of care for lung cancer. The differences in healthcare delivery systems of Asian and Western countries, and between high-income countries and low-income-middle-income countries may suggest different sets of time points and intervals need to be developed. ©
- Authors: Ansar, Adnan , Lewis, Virginia , McDonald, Christine , Liu, Chaojie , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article , Review
- Relation: BMJ Open Vol. 12, no. 4 (2022), p.
- Full Text:
- Reviewed:
- Description: Objectives Early diagnosis and reducing the time taken to achieve each step of lung cancer care is essential. This scoping review aimed to examine time points and intervals used to measure timeliness and to critically assess how they are defined by existing studies of the care seeking pathway for lung cancer. Methods This scoping review was guided by the methodological framework for scoping reviews by Arksey and O'Malley. MEDLINE, EMBASE, CINAHL and PsycINFO electronic databases were searched for articles published between 1999 and 2019. After duplicate removal, all publications went through title and abstract screening followed by full text review and inclusion of articles in the review against the selection criteria. A narrative synthesis describes the time points, intervals and measurement guidelines used by the included articles. Results A total of 2113 articles were identified from the initial search. Finally, 68 articles were included for data charting process. Eight time points and 14 intervals were identified as the most common events researched by the articles. Eighteen different lung cancer care guidelines were used to benchmark intervals in the included articles; all were developed in Western countries. The British Thoracic Society guideline was the most frequently used guideline (20%). Western guidelines were used by the studies in Asian countries despite differences in the health system structure. Conclusion This review identified substantial variations in definitions of some of the intervals used to describe timeliness of care for lung cancer. The differences in healthcare delivery systems of Asian and Western countries, and between high-income countries and low-income-middle-income countries may suggest different sets of time points and intervals need to be developed. ©
A systematic review of Lean in healthcare : a global prospective
- Antony, Jiju, Sunder, Vijaya, Sreedharan, Raja, Chakraborty, Ayon, Gunasekaran, Angappa
- Authors: Antony, Jiju , Sunder, Vijaya , Sreedharan, Raja , Chakraborty, Ayon , Gunasekaran, Angappa
- Date: 2019
- Type: Text , Journal article , Review
- Relation: International Journal of Quality and Reliability Management Vol. 36, no. 8 (2019), p. 1370-1391
- Full Text:
- Reviewed:
- Description: Purpose: Fostered by a rapid spread beyond the manufacturing sector, Lean philosophy for continuous improvement has been widely used in service organizations, primarily in the healthcare sector. However, there is a limited research on the motivating factors, challenges and benefits of implementing Lean in healthcare. Taking this as a valuable opportunity, the purpose of this paper is to present the key motivating factors, limitations or challenges of Lean deployment, benefits of Lean in healthcare and key gaps in the literature as an agenda for future research. Design/methodology/approach: The authors used the secondary data from the literature (peer-reviewed journal articles) published between 2000 and 2016 to understand the state of the art. The systematic review identified 101 articles across 88 journals recognized by the Association of Business Schools ranking guide 2015. Findings: The systematic review helped the authors to identify the evolution, current trends, research gaps and an agenda for future research for Lean in healthcare. A bouquet of motivating factors, challenges/limitations and benefits of Lean in healthcare are presented. Practical implications: The implications of this work include directions for managers and healthcare professionals in healthcare organizations to embark on a focused Lean journey aligned with the strategic objectives. This work could serve as a valuable resource to both practitioners and researchers for learning, investigating and rightly adapting the Lean in the healthcare sector. Originality/value: This study is perhaps one of the comprehensive systematic literature reviews covering an important agenda of Lean in Healthcare. All the text, figures and tables featured here are original work carried by five authors in collaboration (from three countries, namely, India, the USA and the UK). © 2019, Emerald Publishing Limited.
- Authors: Antony, Jiju , Sunder, Vijaya , Sreedharan, Raja , Chakraborty, Ayon , Gunasekaran, Angappa
- Date: 2019
- Type: Text , Journal article , Review
- Relation: International Journal of Quality and Reliability Management Vol. 36, no. 8 (2019), p. 1370-1391
- Full Text:
- Reviewed:
- Description: Purpose: Fostered by a rapid spread beyond the manufacturing sector, Lean philosophy for continuous improvement has been widely used in service organizations, primarily in the healthcare sector. However, there is a limited research on the motivating factors, challenges and benefits of implementing Lean in healthcare. Taking this as a valuable opportunity, the purpose of this paper is to present the key motivating factors, limitations or challenges of Lean deployment, benefits of Lean in healthcare and key gaps in the literature as an agenda for future research. Design/methodology/approach: The authors used the secondary data from the literature (peer-reviewed journal articles) published between 2000 and 2016 to understand the state of the art. The systematic review identified 101 articles across 88 journals recognized by the Association of Business Schools ranking guide 2015. Findings: The systematic review helped the authors to identify the evolution, current trends, research gaps and an agenda for future research for Lean in healthcare. A bouquet of motivating factors, challenges/limitations and benefits of Lean in healthcare are presented. Practical implications: The implications of this work include directions for managers and healthcare professionals in healthcare organizations to embark on a focused Lean journey aligned with the strategic objectives. This work could serve as a valuable resource to both practitioners and researchers for learning, investigating and rightly adapting the Lean in the healthcare sector. Originality/value: This study is perhaps one of the comprehensive systematic literature reviews covering an important agenda of Lean in Healthcare. All the text, figures and tables featured here are original work carried by five authors in collaboration (from three countries, namely, India, the USA and the UK). © 2019, Emerald Publishing Limited.
Secure big data ecosystem architecture : challenges and solutions
- Anwar, Memoona, Gill, Asif, Hussain, Farookh, Imran, Muhammad
- Authors: Anwar, Memoona , Gill, Asif , Hussain, Farookh , Imran, Muhammad
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Eurasip Journal on Wireless Communications and Networking Vol. 2021, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: Big data ecosystems are complex data-intensive, digital–physical systems. Data-intensive ecosystems offer a number of benefits; however, they present challenges as well. One major challenge is related to the privacy and security. A number of privacy and security models, techniques and algorithms have been proposed over a period of time. The limitation is that these solutions are primarily focused on an individual or on an isolated organizational context. There is a need to study and provide complete end-to-end solutions that ensure security and privacy throughout the data lifecycle across the ecosystem beyond the boundary of an individual system or organizational context. The results of current study provide a review of the existing privacy and security challenges and solutions using the systematic literature review (SLR) approach. Based on the SLR approach, 79 applicable articles were selected and analyzed. The information from these articles was extracted to compile a catalogue of security and privacy challenges in big data ecosystems and to highlight their interdependencies. The results were categorized from theoretical viewpoint using adaptive enterprise architecture and practical viewpoint using DAMA framework as guiding lens. The findings of this research will help to identify the research gaps and draw novel research directions in the context of privacy and security in big data-intensive ecosystems. © 2021, The Author(s).
- Authors: Anwar, Memoona , Gill, Asif , Hussain, Farookh , Imran, Muhammad
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Eurasip Journal on Wireless Communications and Networking Vol. 2021, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: Big data ecosystems are complex data-intensive, digital–physical systems. Data-intensive ecosystems offer a number of benefits; however, they present challenges as well. One major challenge is related to the privacy and security. A number of privacy and security models, techniques and algorithms have been proposed over a period of time. The limitation is that these solutions are primarily focused on an individual or on an isolated organizational context. There is a need to study and provide complete end-to-end solutions that ensure security and privacy throughout the data lifecycle across the ecosystem beyond the boundary of an individual system or organizational context. The results of current study provide a review of the existing privacy and security challenges and solutions using the systematic literature review (SLR) approach. Based on the SLR approach, 79 applicable articles were selected and analyzed. The information from these articles was extracted to compile a catalogue of security and privacy challenges in big data ecosystems and to highlight their interdependencies. The results were categorized from theoretical viewpoint using adaptive enterprise architecture and practical viewpoint using DAMA framework as guiding lens. The findings of this research will help to identify the research gaps and draw novel research directions in the context of privacy and security in big data-intensive ecosystems. © 2021, The Author(s).
Real-time big data processing for anomaly detection : a survey
- Ariyaluran Habeeb, Riyaz, Nasaruddin, Fariza, Gani, Abdullah, Targio Hashem, Ibrahim, Ahmed, Ejaz, Imran, Muhammad
- Authors: Ariyaluran Habeeb, Riyaz , Nasaruddin, Fariza , Gani, Abdullah , Targio Hashem, Ibrahim , Ahmed, Ejaz , Imran, Muhammad
- Date: 2019
- Type: Text , Journal article , Review
- Relation: International Journal of Information Management Vol. 45, no. (2019), p. 289-307
- Full Text:
- Reviewed:
- Description: The advent of connected devices and omnipresence of Internet have paved way for intruders to attack networks, which leads to cyber-attack, financial loss, information theft in healthcare, and cyber war. Hence, network security analytics has become an important area of concern and has gained intensive attention among researchers, off late, specifically in the domain of anomaly detection in network, which is considered crucial for network security. However, preliminary investigations have revealed that the existing approaches to detect anomalies in network are not effective enough, particularly to detect them in real time. The reason for the inefficacy of current approaches is mainly due the amassment of massive volumes of data though the connected devices. Therefore, it is crucial to propose a framework that effectively handles real time big data processing and detect anomalies in networks. In this regard, this paper attempts to address the issue of detecting anomalies in real time. Respectively, this paper has surveyed the state-of-the-art real-time big data processing technologies related to anomaly detection and the vital characteristics of associated machine learning algorithms. This paper begins with the explanation of essential contexts and taxonomy of real-time big data processing, anomalous detection, and machine learning algorithms, followed by the review of big data processing technologies. Finally, the identified research challenges of real-time big data processing in anomaly detection are discussed. © 2018 Elsevier Ltd
- Authors: Ariyaluran Habeeb, Riyaz , Nasaruddin, Fariza , Gani, Abdullah , Targio Hashem, Ibrahim , Ahmed, Ejaz , Imran, Muhammad
- Date: 2019
- Type: Text , Journal article , Review
- Relation: International Journal of Information Management Vol. 45, no. (2019), p. 289-307
- Full Text:
- Reviewed:
- Description: The advent of connected devices and omnipresence of Internet have paved way for intruders to attack networks, which leads to cyber-attack, financial loss, information theft in healthcare, and cyber war. Hence, network security analytics has become an important area of concern and has gained intensive attention among researchers, off late, specifically in the domain of anomaly detection in network, which is considered crucial for network security. However, preliminary investigations have revealed that the existing approaches to detect anomalies in network are not effective enough, particularly to detect them in real time. The reason for the inefficacy of current approaches is mainly due the amassment of massive volumes of data though the connected devices. Therefore, it is crucial to propose a framework that effectively handles real time big data processing and detect anomalies in networks. In this regard, this paper attempts to address the issue of detecting anomalies in real time. Respectively, this paper has surveyed the state-of-the-art real-time big data processing technologies related to anomaly detection and the vital characteristics of associated machine learning algorithms. This paper begins with the explanation of essential contexts and taxonomy of real-time big data processing, anomalous detection, and machine learning algorithms, followed by the review of big data processing technologies. Finally, the identified research challenges of real-time big data processing in anomaly detection are discussed. © 2018 Elsevier Ltd
The effects of plyometric training on change-of-direction ability : A meta-analysis
- Asadi, Abbas, Arazi, Hamid, Young, Warren, De Villarreal, Eduardo
- Authors: Asadi, Abbas , Arazi, Hamid , Young, Warren , De Villarreal, Eduardo
- Date: 2016
- Type: Text , Journal article , Review
- Relation: International Journal of Sports Physiology and Performance Vol. 11, no. 5 (2016), p. 563-573
- Full Text:
- Reviewed:
- Description: Purpose: To show a clear picture about the possible variables of enhancements of change-of-direction (COD) ability using longitudinal plyometric-training (PT) studies and determine specific factors that influence the training effects. Methods: A computerized search was performed, and 24 articles with a total of 46 effect sizes (ESs) in an experimental group and 25 ESs in a control group were reviewed to analyze the role of various factors on the impact of PT on COD performance. Results: The results showed that participants with good ftness levels obtained greater improvements in COD performance (P <.05), and basketball players gained more benefits of PT than other athletes. Also, men obtained COD results similar to those of women after PT. In relation to the variables of PT design, it appears that 7 wk (with 2 sessions/wk) using moderate intensity and 100 jumps per training session with a 72-h rest interval tends to improve COD ability. Performing PT with a combination of different types of plyometric exercises such as drop jumps + vertical jumps + standing long jumps is better than 1 form of exercise. Conclusion: It is apparent that PT can be effective at improving COD ability. The loading parameters are essential for exercise professionals, coaches, and strength and conditioning professionals with regard to the most appropriate dose-response trends to optimize plyometric-induced COD-ability gains. © 2016 Human Kinetics, Inc.
- Authors: Asadi, Abbas , Arazi, Hamid , Young, Warren , De Villarreal, Eduardo
- Date: 2016
- Type: Text , Journal article , Review
- Relation: International Journal of Sports Physiology and Performance Vol. 11, no. 5 (2016), p. 563-573
- Full Text:
- Reviewed:
- Description: Purpose: To show a clear picture about the possible variables of enhancements of change-of-direction (COD) ability using longitudinal plyometric-training (PT) studies and determine specific factors that influence the training effects. Methods: A computerized search was performed, and 24 articles with a total of 46 effect sizes (ESs) in an experimental group and 25 ESs in a control group were reviewed to analyze the role of various factors on the impact of PT on COD performance. Results: The results showed that participants with good ftness levels obtained greater improvements in COD performance (P <.05), and basketball players gained more benefits of PT than other athletes. Also, men obtained COD results similar to those of women after PT. In relation to the variables of PT design, it appears that 7 wk (with 2 sessions/wk) using moderate intensity and 100 jumps per training session with a 72-h rest interval tends to improve COD ability. Performing PT with a combination of different types of plyometric exercises such as drop jumps + vertical jumps + standing long jumps is better than 1 form of exercise. Conclusion: It is apparent that PT can be effective at improving COD ability. The loading parameters are essential for exercise professionals, coaches, and strength and conditioning professionals with regard to the most appropriate dose-response trends to optimize plyometric-induced COD-ability gains. © 2016 Human Kinetics, Inc.
Educational big data : predictions, applications and challenges
- Bai, Xiaomei, Zhang, Fuli, Li, Jinzhou, Guo, Teng, Xia, Feng
- Authors: Bai, Xiaomei , Zhang, Fuli , Li, Jinzhou , Guo, Teng , Xia, Feng
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Big Data Research Vol. 26, no. (2021), p.
- Full Text:
- Reviewed:
- Description: Educational big data is becoming a strategic educational asset, exceptionally significant in advancing educational reform. The term educational big data stems from the rapidly growing educational data development, including students' inherent attributes, learning behavior, and psychological state. Educational big data has many applications that can be used for educational administration, teaching innovation, and research management. The representative examples of such applications are student academic performance prediction, employment recommendation, and financial support for low-income students. Different empirical studies have shown that it is possible to predict student performance in the courses during the next term. Predictive research for the higher education stage has become an attractive area of study since it allowed us to predict student behavior. In this survey, we will review predictive research, its applications, and its challenges. We first introduce the significance and background of educational big data. Second, we review the students' academic performance prediction research, such as factors influencing students' academic performance, predicting models, evaluating indices. Third, we introduce the applications of educational big data such as prediction, recommendation, and evaluation. Finally, we investigate challenging research issues in this area. This discussion aims to provide a comprehensive overview of educational big data. © 2021 Elsevier Inc. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Feng Xia” is provided in this record**
- Authors: Bai, Xiaomei , Zhang, Fuli , Li, Jinzhou , Guo, Teng , Xia, Feng
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Big Data Research Vol. 26, no. (2021), p.
- Full Text:
- Reviewed:
- Description: Educational big data is becoming a strategic educational asset, exceptionally significant in advancing educational reform. The term educational big data stems from the rapidly growing educational data development, including students' inherent attributes, learning behavior, and psychological state. Educational big data has many applications that can be used for educational administration, teaching innovation, and research management. The representative examples of such applications are student academic performance prediction, employment recommendation, and financial support for low-income students. Different empirical studies have shown that it is possible to predict student performance in the courses during the next term. Predictive research for the higher education stage has become an attractive area of study since it allowed us to predict student behavior. In this survey, we will review predictive research, its applications, and its challenges. We first introduce the significance and background of educational big data. Second, we review the students' academic performance prediction research, such as factors influencing students' academic performance, predicting models, evaluating indices. Third, we introduce the applications of educational big data such as prediction, recommendation, and evaluation. Finally, we investigate challenging research issues in this area. This discussion aims to provide a comprehensive overview of educational big data. © 2021 Elsevier Inc. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Feng Xia” is provided in this record**