A systematic review of wheelchair and mobility scooter containment systems used internationally on public transit buses
- Unsworth, Carolyn, Timmer, Amanda
- Authors: Unsworth, Carolyn , Timmer, Amanda
- Date: 2023
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 20 (2023), p.
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- Description: Despite the daily need for people to travel on public transit buses using their wheeled mobility devices, relatively little information is available regarding the most efficacious, affordable, and independent approaches to assist passengers with keeping their mobility devices in the designated wheelchair access space. A systematic review was undertaken to summarize this literature, place it within a geographical and temporal context, appraise its quality, and establish common themes. Key academic and grey literature transportation databases and government websites searched from 1990 to May 2022 identified 33 documents, which were appraised using the Mixed Methods Appraisal Tool (MMAT) or the Authority, Accuracy, Coverage, Objectivity, Date, Significance (AACODS) tool. Overall, the documents included were of good quality. The literature retrieved focused on the development and testing of the active containment systems favored for use in North America with a contrastingly small examination of the effectiveness of passive or semi-passive containment systems. Almost no literature was retrieved in English from European researchers documenting the use or effectiveness of rearward-facing passive systems. While tip or slide events are relatively rare among mobility device users, the effective use of containment systems is vital to minimize these. Further research is required to support transport policy makers, operators, and bus drivers to identify and correctly implement optimal containment systems to promote safety for all passengers on public buses. © 2023 by the authors.
- Authors: Unsworth, Carolyn , Timmer, Amanda
- Date: 2023
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 20 (2023), p.
- Full Text:
- Reviewed:
- Description: Despite the daily need for people to travel on public transit buses using their wheeled mobility devices, relatively little information is available regarding the most efficacious, affordable, and independent approaches to assist passengers with keeping their mobility devices in the designated wheelchair access space. A systematic review was undertaken to summarize this literature, place it within a geographical and temporal context, appraise its quality, and establish common themes. Key academic and grey literature transportation databases and government websites searched from 1990 to May 2022 identified 33 documents, which were appraised using the Mixed Methods Appraisal Tool (MMAT) or the Authority, Accuracy, Coverage, Objectivity, Date, Significance (AACODS) tool. Overall, the documents included were of good quality. The literature retrieved focused on the development and testing of the active containment systems favored for use in North America with a contrastingly small examination of the effectiveness of passive or semi-passive containment systems. Almost no literature was retrieved in English from European researchers documenting the use or effectiveness of rearward-facing passive systems. While tip or slide events are relatively rare among mobility device users, the effective use of containment systems is vital to minimize these. Further research is required to support transport policy makers, operators, and bus drivers to identify and correctly implement optimal containment systems to promote safety for all passengers on public buses. © 2023 by the authors.
Adaptive capacity task offloading in multi-hop D2D-based social industrial IoT
- Ibrar, Muhammad, Wang, Lei, Akbar, Aamir, Jan, Mian, Balasubramanian, Venki, Muntean, Gabriel-Miro, Shah, Nadir
- Authors: Ibrar, Muhammad , Wang, Lei , Akbar, Aamir , Jan, Mian , Balasubramanian, Venki , Muntean, Gabriel-Miro , Shah, Nadir
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Transactions on Network Science and Engineering Vol. 10, no. 5 (2023), p. 2843-2852
- Full Text: false
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- Description: Traditional communication technologies such as cellular networks are facing problems to support high service quality when used for time-critical applications in an Industrial Internet-of-Things (IIoT) context, including real-time data transmission, route dependability, and scalability. To address these problems, device-to-device (D2D) communications based on social relationships can be used, which allow for task-offloading: resource-rich devices share unused computing resources with resource constraint devices. However, unbalanced task offloading in Social IIoT (SIIoT) might actually degrade the overall system performance, which is not desirable. In this paper, we propose an adaptive capacity task offloading solution for D2D-based social industrial IoT (ToSIIoT) which considers devices utilization ratio and strength of social relationships in order to improve resource utilization, increase QoS and achieve better task completion rate. The proposed approach consists of three aspects: social-aware relay selection in a multi-hop D2D communication context, choice of a resource-rich SIIoT device for task offloading, and adaptive redistribution of tasks. The paper proposes heuristic algorithms, as finding optimal solutions to the problems are NP-hard. Extensive experimental results show that the proposed ToSIIoT performs better than existing approaches in terms of utilization ratio, QoS violation, average execution delay, and task completion ratio. © 2013 IEEE.
An exploration of trolling behaviours in Australian adolescents : an online survey
- Marrington, Jessica, March, Evita, Murray, Sarah, Jeffries, Carla, Machin, Tanya, March, Sonja
- Authors: Marrington, Jessica , March, Evita , Murray, Sarah , Jeffries, Carla , Machin, Tanya , March, Sonja
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 4 April (2023), p.
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- Description: To understand why people “troll” (i.e., engage in disruptive online behaviour intended to provoke and distress for one’s own amusement), researchers have explored a range of individual differences. These studies have primarily been conducted in adult samples, despite adolescents being a particularly vulnerable group with regards to both being trolled and trolling others. In this study we aimed to (1) explore Australian adolescents’ experiences of trolling, and (2) replicate adult research that has constructed a psychological profile of the Internet troll by examining the utility of personality traits (psychopathy and sadism), self-esteem, empathy (cognitive and affective), and social rewards (negative social potency) to predict adolescents’ trolling behaviours. A sample of 157 Australian adolescents (40.8% male, 58% female, 0.6% non-binary) aged 13–18 years (M = 15.58, SD = 1.71) completed the Global Assessment of Internet Trolling-Revised, Adolescent Measure of Empathy and Sympathy, Rosenberg Self-Esteem Scale, Youth Psychopathy Traits Inventory-Short Version, Social Rewards Questionnaire, Short Sadistic Impulse Scale, and a series of questions related to the experience of trolling. Results showed in the past year, 24.2% of Australian adolescents reported being trolled and 13.4% reported having trolled others. Gender, psychopathy, sadism, self-esteem, cognitive empathy, affective empathy, and “negative social potency” (i.e., enjoyment of antisocial rewards) combined, explained 30.7% of variance in adolescents’ trolling behaviours (p < .001). When accounting for shared variance, gender (male), high psychopathy, and high negative social potency were significant predictors of trolling, aligning with findings of adult samples. Contrary to adult samples, sadism was not a unique predictor of adolescents’ trolling. For adolescents, the variance in trolling explained by sadism was nonsignificant when controlling for negative social potency. These similarities, and differences, in predictors of trolling across adult and adolescent samples may play a critical role in the development of targeted interventions to prevent or manage trolling. © 2023 Marrington 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: Marrington, Jessica , March, Evita , Murray, Sarah , Jeffries, Carla , Machin, Tanya , March, Sonja
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 4 April (2023), p.
- Full Text:
- Reviewed:
- Description: To understand why people “troll” (i.e., engage in disruptive online behaviour intended to provoke and distress for one’s own amusement), researchers have explored a range of individual differences. These studies have primarily been conducted in adult samples, despite adolescents being a particularly vulnerable group with regards to both being trolled and trolling others. In this study we aimed to (1) explore Australian adolescents’ experiences of trolling, and (2) replicate adult research that has constructed a psychological profile of the Internet troll by examining the utility of personality traits (psychopathy and sadism), self-esteem, empathy (cognitive and affective), and social rewards (negative social potency) to predict adolescents’ trolling behaviours. A sample of 157 Australian adolescents (40.8% male, 58% female, 0.6% non-binary) aged 13–18 years (M = 15.58, SD = 1.71) completed the Global Assessment of Internet Trolling-Revised, Adolescent Measure of Empathy and Sympathy, Rosenberg Self-Esteem Scale, Youth Psychopathy Traits Inventory-Short Version, Social Rewards Questionnaire, Short Sadistic Impulse Scale, and a series of questions related to the experience of trolling. Results showed in the past year, 24.2% of Australian adolescents reported being trolled and 13.4% reported having trolled others. Gender, psychopathy, sadism, self-esteem, cognitive empathy, affective empathy, and “negative social potency” (i.e., enjoyment of antisocial rewards) combined, explained 30.7% of variance in adolescents’ trolling behaviours (p < .001). When accounting for shared variance, gender (male), high psychopathy, and high negative social potency were significant predictors of trolling, aligning with findings of adult samples. Contrary to adult samples, sadism was not a unique predictor of adolescents’ trolling. For adolescents, the variance in trolling explained by sadism was nonsignificant when controlling for negative social potency. These similarities, and differences, in predictors of trolling across adult and adolescent samples may play a critical role in the development of targeted interventions to prevent or manage trolling. © 2023 Marrington 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.
- Bonney, Patrick, Hansen, Birgita, Baldwin, Claudia
- Authors: Bonney, Patrick , Hansen, Birgita , Baldwin, Claudia
- Date: 2023
- Type: Text , Journal article
- Relation: Society and Natural Resources Vol. 36, no. 6 (2023), p. 600-621
- Full Text: false
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- Description: In natural resource management contexts, citizen science programs often involve a diversity of actors collaborating in broad social networks. However, the characteristics and functioning of these networks has received limited attention. In this article, we demonstrate the benefits of applying social network research to citizen science practice. Through a mixed methods approach, we compare data sharing and collaboration networks of two community-based water monitoring programs in Australia. The quantitative component revealed that despite similarities in actor diversity and activities, both programs have created divergent network structures (centralized vs decentralized) corresponding to their scale of influence in environmental decision-making (regional vs local impacts). The qualitative component showed how individuals navigated their relationships and managed key tensions inherent to network functioning. This study provides new insights on the role of social networks in citizen science and concludes by recommending program leaders adopt a “networking mindset” to maximize their sphere of influence. © 2023 Taylor & Francis Group, LLC.
Climate-driven animal mass mortality events : is there a role for scavengers?
- Barton, Philip, Reboldi, Anna, Bonat, Stefanie, Mateo-Tomás, Patricia, Newsome, Thomas
- Authors: Barton, Philip , Reboldi, Anna , Bonat, Stefanie , Mateo-Tomás, Patricia , Newsome, Thomas
- Date: 2023
- Type: Text , Journal article
- Relation: Environmental conservation Vol. 50, no. 1 (2023), p. 1-6
- Full Text: false
- Reviewed:
- Description: Summary Animal mass mortality events (MMEs) will increase with weather and climate extremes. MMEs can add significant stress to ecosystems through extraordinary nutrient pulses or contribute to potential disease transmission risks. Given their efficient removal of carrion biomass from landscapes, we argue here for the potential of scavenger guilds to be a key nature-based solution to mitigating MME effects. However, we caution that scavenger guilds alone will not be a silver bullet. It is critical for further research to identify how the composition of scavenger guilds and the magnitude of MMEs will determine when scavengers will buffer the impacts of such events on ecosystems and when intervention might be required. Some MMEs are too large for scavengers to remove efficiently, and there is a risk of MMEs subsidizing pest species, altering nutrient cycling or leading to disease spread. Prioritizing native scavenger taxa in conservation management policies may help to boost ecosystem resilience through preserving their key ecological services. This should be part of a multi-pronged approach to MME mitigation that combines scavenger conservation with practices such as carcass dispersal or removal when exceeding a threshold quantity. Policymakers are urged to identify such thresholds and to recognize both the insects and the vertebrate scavengers that could act as allies for mitigating the emerging problem of climate-driven MMEs.
COVID-19 : psychological distress, fear, and coping strategies among community members across the United Arab Emirates
- Al Dweik, Rania, Rahman, Muhammad Aziz, Ahamed, Fathima, Ramada, Heba, Al Sheble, Yousef, ElTaher, Sondos, Cross, Wendy, Elsori, Deena
- Authors: Al Dweik, Rania , Rahman, Muhammad Aziz , Ahamed, Fathima , Ramada, Heba , Al Sheble, Yousef , ElTaher, Sondos , Cross, Wendy , Elsori, Deena
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 3 March (2023), p.
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- Description: Background The COVID-19 pandemic impacted the psychosocial well-being of the United Arab Emirates [UAE] population like other communities internationally. Objectives We aimed to identify the factors associated with psychological distress, fear, and coping amongst community members across the UAE. Methods We conducted a cross-sectional online survey across the UAE during November 2020. Adults aged
- Authors: Al Dweik, Rania , Rahman, Muhammad Aziz , Ahamed, Fathima , Ramada, Heba , Al Sheble, Yousef , ElTaher, Sondos , Cross, Wendy , Elsori, Deena
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 3 March (2023), p.
- Full Text:
- Reviewed:
- Description: Background The COVID-19 pandemic impacted the psychosocial well-being of the United Arab Emirates [UAE] population like other communities internationally. Objectives We aimed to identify the factors associated with psychological distress, fear, and coping amongst community members across the UAE. Methods We conducted a cross-sectional online survey across the UAE during November 2020. Adults aged
Decoding employee ambidexterity : understanding drivers, constraints, and performance implications for thriving in the evolving work landscapes - a scoping review
- Joseph, Jane, Firmin, Sally, Oseni, Taiwo, Stranieri, Andrew
- Authors: Joseph, Jane , Firmin, Sally , Oseni, Taiwo , Stranieri, Andrew
- Date: 2023
- Type: Text , Journal article
- Relation: Heliyon Vol. 9, no. 12 (2023), p.
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- Reviewed:
- Description: Employee ambidexterity (EA) is becoming increasingly recognised as a significant factor in enhancing individual and organisational performance across diverse industries. Ambidexterity refers to the capacity to exploit and explore organisational resources simultaneously. Scholars from diverse industry sectors have been motivated to delve deeper into the topic of EA due to its growing popularity. The objective of conducting a scoping review was to scrutinise the existing literature and identify the key drivers and constraints that impact EA to thrive in the changing work landscape. The insights gained from this review can assist decision-makers in formulating effective strategies to cultivate the ambidexterity skills of their workforce and achieve desirable outcomes. This review adheres to the PRISMA-ScR protocol. Articles were obtained from databases including Scopus, Web of Science, and EBSCOhost (Academic Search Complete, Business Source Complete). The body of literature concerning EA is in its nascent stage. 23 articles assessing EA's performance outcomes were identified using targeted search terms and thorough screening. After conducting a thorough thematic analysis using the iterative categorisation (IC) technique, tailored for scoping a review, we successfully identified twenty-nine factors contributing to the enhancement of EA, meticulously organised into five distinct categories: organisational factors, social connectedness, employee behaviour, employee personality, and work environment related factors. Similarly, we discovered four factors that impede EA: functional tenure, team identification, bounded discretion, and conscientiousness. Our findings underscore the profound impact of employee ambidexterity on distinct types of performance. Among the sixteen types of performance reported to be enhanced by EA, ten are linked to individual performance, while six are tied to organisational performance. Notably, our analysis revealed that nearly all studies have relied on cross-sectional research methods except for one. However, we advocate for the exploration of longitudinal studies as they hold the promise of offering a more comprehensive understanding of EA. The paper presents valuable insights into how to cultivate ambidextrous capabilities in the workforce for unparalleled success in today's rapidly evolving work environment. Additionally, it identifies several intriguing avenues for future research that could further elucidate and bridge existing knowledge gaps. © 2023
- Authors: Joseph, Jane , Firmin, Sally , Oseni, Taiwo , Stranieri, Andrew
- Date: 2023
- Type: Text , Journal article
- Relation: Heliyon Vol. 9, no. 12 (2023), p.
- Full Text:
- Reviewed:
- Description: Employee ambidexterity (EA) is becoming increasingly recognised as a significant factor in enhancing individual and organisational performance across diverse industries. Ambidexterity refers to the capacity to exploit and explore organisational resources simultaneously. Scholars from diverse industry sectors have been motivated to delve deeper into the topic of EA due to its growing popularity. The objective of conducting a scoping review was to scrutinise the existing literature and identify the key drivers and constraints that impact EA to thrive in the changing work landscape. The insights gained from this review can assist decision-makers in formulating effective strategies to cultivate the ambidexterity skills of their workforce and achieve desirable outcomes. This review adheres to the PRISMA-ScR protocol. Articles were obtained from databases including Scopus, Web of Science, and EBSCOhost (Academic Search Complete, Business Source Complete). The body of literature concerning EA is in its nascent stage. 23 articles assessing EA's performance outcomes were identified using targeted search terms and thorough screening. After conducting a thorough thematic analysis using the iterative categorisation (IC) technique, tailored for scoping a review, we successfully identified twenty-nine factors contributing to the enhancement of EA, meticulously organised into five distinct categories: organisational factors, social connectedness, employee behaviour, employee personality, and work environment related factors. Similarly, we discovered four factors that impede EA: functional tenure, team identification, bounded discretion, and conscientiousness. Our findings underscore the profound impact of employee ambidexterity on distinct types of performance. Among the sixteen types of performance reported to be enhanced by EA, ten are linked to individual performance, while six are tied to organisational performance. Notably, our analysis revealed that nearly all studies have relied on cross-sectional research methods except for one. However, we advocate for the exploration of longitudinal studies as they hold the promise of offering a more comprehensive understanding of EA. The paper presents valuable insights into how to cultivate ambidextrous capabilities in the workforce for unparalleled success in today's rapidly evolving work environment. Additionally, it identifies several intriguing avenues for future research that could further elucidate and bridge existing knowledge gaps. © 2023
Diatom index of Galela Lake, Halmahera, Indonesia in relation to human activities
- Soeprobowati, Tri, Saraswati, Tyas, Jumari, Jumari, Sari, Kenanga, Gell, Peter
- Authors: Soeprobowati, Tri , Saraswati, Tyas , Jumari, Jumari , Sari, Kenanga , Gell, Peter
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Environmental Science and Technology Vol. 20, no. 7 (2023), p. 7707-7722
- Full Text: false
- Reviewed:
- Description: Diatoms, silicious microalgae, have been used successfully as bioindicators of water quality assessment in aquatic ecosystems. Diatoms have a degree of tolerance to the water quality and some diatoms are a good indicator for several water quality variables. Diatom indices have been developed to assess river water quality, mostly in Europe. This study aims to apply diatom indices developed in Europe for the tropical lake of Galela adjacent to residential areas influenced by human activities. Galela Lake is one of the biggest lakes in Halmahera Utara, Indonesia with its main functions being domestic water supply, irrigation, fisheries, and tourism. Human activities have impacted the area around the lake. The 90-cm and 85-cm long sediment cores were collected using a piston corer from Site 1 and 2, respectively. Sediment samples were sliced every 5 cm, separated from sediment by adding HCl and H2O2. The diatom valves were identified under a microscope with 1,000 × magnification. The water quality status of each layer was inferred with diatom indices performed using OMNIDIA software version 6.0. Forty-nine and 63 diatoms species were identified from Site 1 and Site 2, respectively. The number of species and diversity of diatoms was higher in the lower layers than those in the upper layers. The preserved diatom assemblages reflect past physical and chemical water quality. Generic Diatom Index and Specific Pollution Sensitivity Index provided the best evidence for change in Galela Lake—they integrated 70–100% of the diatom taxa from the sediment core samples. © 2022, The Author(s) under exclusive licence to Iranian Society of Environmentalists (IRSEN) and Science and Research Branch, Islamic Azad University.
Divergent molecular networks program functionally distinct CD8+skin-resident memory T cells
- Park, Simone, Christo, Susan, Wells, Alexandria, Gandolfo, Luke, Zaid, Ali, Alexandre, Yannick, Burn, Thomas, Schröder, Jan, Collins, Nicholas, Han, Seong-Ji, Guillaume, Stephane, Evrard, Maximilien, Castellucci, Clara, Davies, Brooke, Osman, Maleika, Obers, Andreas, McDonald, Keely, Wang, Huimeng, Mueller, Scott, Kannourakis, George, Berzins, Stuart, Mielke, Lisa, Carbone, Francis, Kallies, Axel, Speed, Terence, Belkaid, Yasmine, MacKay, Laura
- Authors: Park, Simone , Christo, Susan , Wells, Alexandria , Gandolfo, Luke , Zaid, Ali , Alexandre, Yannick , Burn, Thomas , Schröder, Jan , Collins, Nicholas , Han, Seong-Ji , Guillaume, Stephane , Evrard, Maximilien , Castellucci, Clara , Davies, Brooke , Osman, Maleika , Obers, Andreas , McDonald, Keely , Wang, Huimeng , Mueller, Scott , Kannourakis, George , Berzins, Stuart , Mielke, Lisa , Carbone, Francis , Kallies, Axel , Speed, Terence , Belkaid, Yasmine , MacKay, Laura
- Date: 2023
- Type: Text , Journal article
- Relation: Science Vol. 382, no. 6674 (2023), p. 1073-1079
- Full Text: false
- Reviewed:
- Description: Skin-resident CD8+T cells include distinct interferon-g-producing [tissue-resident memory T type 1 (TRM1)] and interleukin-17 (IL-17)-producing (TRM17) subsets that differentially contribute to immune responses. However, whether these populations use common mechanisms to establish tissue residence is unknown. In this work, we show that TRM1 and TRM17 cells navigate divergent trajectories to acquire tissue residency in the skin. TRM1 cells depend on a T-bet-Hobit-IL-15 axis, whereas TRM17 cells develop independently of these factors. Instead, c-Maf commands a tissue-resident program in TRM17 cells parallel to that induced by Hobit in TRM1 cells, with an ICOS-c-Maf-IL-7 axis pivotal to TRM17 cell commitment. Accordingly, by targeting this pathway, skin TRM17 cells can be ablated without compromising their TRM1 counterparts. Thus, skin-resident T cells rely on distinct molecular circuitries, which can be exploited to strategically modulate local immunity. © 2023 American Association for the Advancement of Science. All rights reserved.
E-cigarette use among male smokers in Al-Ahsa, Kingdom of Saudi Arabia : a cross-sectional study
- Al Rajeh, Ahmed, Mahmud, Ilias, Al Imam, Mahmudul, Rahman, Muhammad Aziz, Al Shehri, Fariss, Alomayrin, Salman, Alfazae, Nawaf, Elmosaad, Yousif, Alasqah, Ibrahim
- Authors: Al Rajeh, Ahmed , Mahmud, Ilias , Al Imam, Mahmudul , Rahman, Muhammad Aziz , Al Shehri, Fariss , Alomayrin, Salman , Alfazae, Nawaf , Elmosaad, Yousif , Alasqah, Ibrahim
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 1 (2023), p.
- Full Text:
- Reviewed:
- Description: E-cigarette use is increasing globally. Recent evidence suggests that e-cigarettes contain harmful substances that could cause adverse health outcomes. This study investigated the prevalence and associated factors of e-cigarette use among male current smokers in Saudi Arabia. We conducted a cross-sectional survey of adult male current smokers in the Al-Ahsa province of Saudi Arabia. Data were collected using a structured questionnaire. We performed logistic regression analyses to investigate the factors associated with e-cigarette use among adult male current smokers. 325 current smokers participated in the study. A third of them (33.5%) were e-cigarette users. Almost all the study participants (97.0%) had heard about e-cigarettes. Participants who were occasional smokers (Odds Ratio (OR): 2.28; 95% Confidence Interval (CI): 1.17–4.41) and had good knowledge perception of e-cigarettes (OR 3.49; 95% CI: 2.07–5.90) had higher odds of using e-cigarettes when compared to regular smokers of conventional cigarettes and current smokers with poor knowledge perception of e-cigarettes, respectively. In contrast, private employees (OR: 0.25, 95% CI: 0.07–0.85), and business owners (OR: 0.09, 95% CI: 0.01–0.63) had lower odds of using e-cigarettes compared to unemployed individuals. Compared with non-e-cigarette users, the rate of conventional cigarette smoking per day was significantly lower among e-cigarette users. Use of e-cigarette (OR: 3.57, 95% CI: 2.14–5.98), believing that e-cigarette quitting is hard (OR: 2.02, 95% CI: 1.17–3.49) and trying to quit e-cigarettes (OR: 2.17, 95% CI: 1.1–4.25) were found to be significant predictors of good knowledge perception of e-cigarettes among the current smokers. The use and knowledge perception of e-cigarettes were higher among occasional conventional male cigarette smokers than regular male smokers in Al-Ahsa province. The use of e-cigarettes as smoking cessation aids should be examined further in the Saudi Arabian setting. © 2022 by the authors.
- Authors: Al Rajeh, Ahmed , Mahmud, Ilias , Al Imam, Mahmudul , Rahman, Muhammad Aziz , Al Shehri, Fariss , Alomayrin, Salman , Alfazae, Nawaf , Elmosaad, Yousif , Alasqah, Ibrahim
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 1 (2023), p.
- Full Text:
- Reviewed:
- Description: E-cigarette use is increasing globally. Recent evidence suggests that e-cigarettes contain harmful substances that could cause adverse health outcomes. This study investigated the prevalence and associated factors of e-cigarette use among male current smokers in Saudi Arabia. We conducted a cross-sectional survey of adult male current smokers in the Al-Ahsa province of Saudi Arabia. Data were collected using a structured questionnaire. We performed logistic regression analyses to investigate the factors associated with e-cigarette use among adult male current smokers. 325 current smokers participated in the study. A third of them (33.5%) were e-cigarette users. Almost all the study participants (97.0%) had heard about e-cigarettes. Participants who were occasional smokers (Odds Ratio (OR): 2.28; 95% Confidence Interval (CI): 1.17–4.41) and had good knowledge perception of e-cigarettes (OR 3.49; 95% CI: 2.07–5.90) had higher odds of using e-cigarettes when compared to regular smokers of conventional cigarettes and current smokers with poor knowledge perception of e-cigarettes, respectively. In contrast, private employees (OR: 0.25, 95% CI: 0.07–0.85), and business owners (OR: 0.09, 95% CI: 0.01–0.63) had lower odds of using e-cigarettes compared to unemployed individuals. Compared with non-e-cigarette users, the rate of conventional cigarette smoking per day was significantly lower among e-cigarette users. Use of e-cigarette (OR: 3.57, 95% CI: 2.14–5.98), believing that e-cigarette quitting is hard (OR: 2.02, 95% CI: 1.17–3.49) and trying to quit e-cigarettes (OR: 2.17, 95% CI: 1.1–4.25) were found to be significant predictors of good knowledge perception of e-cigarettes among the current smokers. The use and knowledge perception of e-cigarettes were higher among occasional conventional male cigarette smokers than regular male smokers in Al-Ahsa province. The use of e-cigarettes as smoking cessation aids should be examined further in the Saudi Arabian setting. © 2022 by the authors.
Efficient future waste management : a learning-based approach with deep neural networks for smart system (LADS)
- Chauhan, Ritu, Shighra, Sahil, Madkhali, Hatim, Nguyen, Linh, Prasad, Mukesh
- Authors: Chauhan, Ritu , Shighra, Sahil , Madkhali, Hatim , Nguyen, Linh , Prasad, Mukesh
- Date: 2023
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 13, no. 7 (2023), p.
- Full Text:
- Reviewed:
- Description: Waste segregation, management, transportation, and disposal must be carefully managed to reduce the danger to patients, the public, and risks to the environment’s health and safety. The previous method of monitoring trash in strategically placed garbage bins is a time-consuming and inefficient method that wastes time, human effort, and money, and is also incompatible with smart city needs. So, the goal is to reduce individual decision-making and increase the productivity of the waste categorization process. Using a convolutional neural network (CNN), the study sought to create an image classifier that recognizes items and classifies trash material. This paper provides an overview of trash monitoring methods, garbage disposal strategies, and the technology used in establishing a waste management system. Finally, an efficient system and waste disposal approach is provided that may be employed in the future to improve performance and cost effectiveness. One of the most significant barriers to efficient waste management can now be overcome with the aid of a deep learning technique. The proposed method outperformed the alternative AlexNet, VGG16, and ResNet34 methods. © 2023 by the authors.
- Authors: Chauhan, Ritu , Shighra, Sahil , Madkhali, Hatim , Nguyen, Linh , Prasad, Mukesh
- Date: 2023
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 13, no. 7 (2023), p.
- Full Text:
- Reviewed:
- Description: Waste segregation, management, transportation, and disposal must be carefully managed to reduce the danger to patients, the public, and risks to the environment’s health and safety. The previous method of monitoring trash in strategically placed garbage bins is a time-consuming and inefficient method that wastes time, human effort, and money, and is also incompatible with smart city needs. So, the goal is to reduce individual decision-making and increase the productivity of the waste categorization process. Using a convolutional neural network (CNN), the study sought to create an image classifier that recognizes items and classifies trash material. This paper provides an overview of trash monitoring methods, garbage disposal strategies, and the technology used in establishing a waste management system. Finally, an efficient system and waste disposal approach is provided that may be employed in the future to improve performance and cost effectiveness. One of the most significant barriers to efficient waste management can now be overcome with the aid of a deep learning technique. The proposed method outperformed the alternative AlexNet, VGG16, and ResNet34 methods. © 2023 by the authors.
Estimation of precipitation fraction in the soil water of the Hillslope Vineyard using stable isotopes of water
- Kovač, Zoran, Krevh, Vedran, Filipović, Lana, Defterdarović, Jasmina, Balaž, Borna-Ivan, Filipović, Vilim
- Authors: Kovač, Zoran , Krevh, Vedran , Filipović, Lana , Defterdarović, Jasmina , Balaž, Borna-Ivan , Filipović, Vilim
- Date: 2023
- Type: Text , Journal article
- Relation: Water (Switzerland) Vol. 15, no. 5 (2023), p.
- Full Text:
- Reviewed:
- Description: This paper presents research related to the estimation of the precipitation fraction in the soil water of a sloped vineyard at the SUPREHILL Critical Zone Observatory (CZO) in Zagreb, Croatia. Numerous investigations have shown that exploration of hillslope soils can be very challenging due to the existence of heterogeneity and different soil properties, as well as due to anthropogenically induced processes, which can affect precipitation infiltration and soil water flow. Within this research, physicochemical soil properties, soil water content (SWC), and isotopic composition of soil water and precipitation (
- Authors: Kovač, Zoran , Krevh, Vedran , Filipović, Lana , Defterdarović, Jasmina , Balaž, Borna-Ivan , Filipović, Vilim
- Date: 2023
- Type: Text , Journal article
- Relation: Water (Switzerland) Vol. 15, no. 5 (2023), p.
- Full Text:
- Reviewed:
- Description: This paper presents research related to the estimation of the precipitation fraction in the soil water of a sloped vineyard at the SUPREHILL Critical Zone Observatory (CZO) in Zagreb, Croatia. Numerous investigations have shown that exploration of hillslope soils can be very challenging due to the existence of heterogeneity and different soil properties, as well as due to anthropogenically induced processes, which can affect precipitation infiltration and soil water flow. Within this research, physicochemical soil properties, soil water content (SWC), and isotopic composition of soil water and precipitation (
Exploring hospital inpatients’ awareness of their falls risk : a qualitative exploratory study
- Dabkowski, Elissa, Cooper, Simon, Duncan, Jhodie, Missen, Karen
- Authors: Dabkowski, Elissa , Cooper, Simon , Duncan, Jhodie , Missen, Karen
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 1 (2023), p.
- Full Text:
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- Description: Patient falls in hospital may lead to physical, psychological, social and financial impacts. Understanding patients’ perceptions of their fall risk will help to direct fall prevention strategies and understand patient behaviours. The aim of this study was to explore the perceptions and experiences that influence a patient’s understanding of their fall risk in regional Australian hospitals. Semi-structured, individual interviews were conducted in wards across three Australian hospitals. Participants were aged 40 years and over, able to communicate in English and were mobile prior to hospital admission. Participants were excluded from the study if they returned a Standardised Mini-Mental State Examination (SMMSE) score of less than 18 when assessed by the researcher. A total of 18 participants with an average age of 69.8 years (SD ± 12.7, range 41 to 84 years) from three regional Victorian hospitals were interviewed for this study. Data were analysed using a reflexive thematic analysis identifying three major themes; (1) Environment (extrinsic) (2) Individual (intrinsic), and (3) Outcomes, as well as eight minor themes. Participants recognised the hazardous nature of a hospital and their personal responsibilities in staying safe. Falls education needs to be consistently delivered, with the focus on empowering the patient to help them adjust to changes in their clinical condition, whether temporary or permanent. © 2022 by the authors.
- Authors: Dabkowski, Elissa , Cooper, Simon , Duncan, Jhodie , Missen, Karen
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 1 (2023), p.
- Full Text:
- Reviewed:
- Description: Patient falls in hospital may lead to physical, psychological, social and financial impacts. Understanding patients’ perceptions of their fall risk will help to direct fall prevention strategies and understand patient behaviours. The aim of this study was to explore the perceptions and experiences that influence a patient’s understanding of their fall risk in regional Australian hospitals. Semi-structured, individual interviews were conducted in wards across three Australian hospitals. Participants were aged 40 years and over, able to communicate in English and were mobile prior to hospital admission. Participants were excluded from the study if they returned a Standardised Mini-Mental State Examination (SMMSE) score of less than 18 when assessed by the researcher. A total of 18 participants with an average age of 69.8 years (SD ± 12.7, range 41 to 84 years) from three regional Victorian hospitals were interviewed for this study. Data were analysed using a reflexive thematic analysis identifying three major themes; (1) Environment (extrinsic) (2) Individual (intrinsic), and (3) Outcomes, as well as eight minor themes. Participants recognised the hazardous nature of a hospital and their personal responsibilities in staying safe. Falls education needs to be consistently delivered, with the focus on empowering the patient to help them adjust to changes in their clinical condition, whether temporary or permanent. © 2022 by the authors.
Exploring public sentiment during COVID-19 : a cross country analysis
- Yu, Shuo, He, Sihan, Cai, Zhen, Lee, Ivan, Naseriparsa, Mehdi, Xia, Feng
- Authors: Yu, Shuo , He, Sihan , Cai, Zhen , Lee, Ivan , Naseriparsa, Mehdi , Xia, Feng
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Transactions on Computational Social Systems Vol. 10, no. 3 (2023), p. 1083-1094
- Full Text: false
- Reviewed:
- Description: COVID-19 has spread all over the world, accounting for countless death and enormous economic loss. Since the World Health Organization (WHO) declared COVID-19 as a pandemic, governments from different countries have made various policies to prevent the pandemic from becoming worse. However, civilian reactions to the pandemic vary when they face similar situations. This behavioral variation creates a challenge when it comes to policy-making. Such differences are generally implicit, hidden in ones' social lives. As a result, it is challenging to analyze such differences when the governments make policies. In this work, we investigate social media posts on Twitter and Weibo in order to effectively explore the difference in reactions across various countries, with the aim to understand national differences. To this end, we employ natural language processing (NLP) methods and Linguistic Inquiry and Word Count (LIWC) tools to process six languages in different countries, including the USA, Germany, France, Italy, the U.K., and China. We provide a comprehensive analysis of public reaction differences from the emotional perspective. Our findings verify that the reactions vary noticeably among various countries for some policies. Therefore, sentiment analysis can significantly influence policy-making. Our work sheds light on the mechanism of detecting the reaction differences in various countries, which can be utilized to conduct effective communication and make appropriate policy decisions. © 2014 IEEE.
Exploring sensory, motor, and pain responses as potential side or therapeutic effects of sub-2 mA, 400 Hz transcranial pulsed current stimulation
- Jaberzadeh, Shapour, Zoghi, Maryam
- Authors: Jaberzadeh, Shapour , Zoghi, Maryam
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 12 December (2023), p.
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- Description: Background Various brain stimulation devices capable of generating high-frequency currents are readily available. However, our comprehension of the potential side or therapeutic effects associated with high-frequency transcranial pulsed current stimulation (tPCS), particularly concerning the new 400 Hz tPCS device, AscenZ-IV Stimulator, developed by AscenZion Neuromodulation Co. Pte. Ltd. in Singapore, remains incomplete. Objective This study examines preliminary parameters for the safe and comfortable application of 400 Hz tPCS at intensities below 2 mA. Methods In a cross-sectional study, 45 healthy participants underwent sub-2 mA 400 Hz tPCS to assess sensory, motor, and pain thresholds on the dominant side. Study 1 (N = 15) targeted the primary motor cortex of the right-hand area, while study 2 (N = 30) focused on the back of the right forearm. Results Study one showed that increasing the current intensity gradually resulted in no responses at sub-0.3 mA levels, but higher intensities (p < 0.001) induced sensory perception and pain responses. Study two replicated these findings and additionally induced motor responses along with the sensory and pain responses. Conclusion Despite the theoretical classification of tPCS as a subsensory level of stimulation, and the expectation that individuals receiving this type of current should not typically feel its application on the body, this high-frequency tPCS device generates different levels of stimulation due to the physiological phenomenon known as temporal summation. These novel levels of stimulation could be viewed as either potential “side-effects” of high frequency tPCS or as additional “therapeutic benefits”. This dual capacity may position the device as one that generates both neuromodulatory and neurostimulatory currents. Comprehensive comprehension of this is vital for the development of therapeutic protocols that incorporate high-frequency tPCS. Copyright: © 2023 Jaberzadeh, Zoghi. 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: Jaberzadeh, Shapour , Zoghi, Maryam
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 12 December (2023), p.
- Full Text:
- Reviewed:
- Description: Background Various brain stimulation devices capable of generating high-frequency currents are readily available. However, our comprehension of the potential side or therapeutic effects associated with high-frequency transcranial pulsed current stimulation (tPCS), particularly concerning the new 400 Hz tPCS device, AscenZ-IV Stimulator, developed by AscenZion Neuromodulation Co. Pte. Ltd. in Singapore, remains incomplete. Objective This study examines preliminary parameters for the safe and comfortable application of 400 Hz tPCS at intensities below 2 mA. Methods In a cross-sectional study, 45 healthy participants underwent sub-2 mA 400 Hz tPCS to assess sensory, motor, and pain thresholds on the dominant side. Study 1 (N = 15) targeted the primary motor cortex of the right-hand area, while study 2 (N = 30) focused on the back of the right forearm. Results Study one showed that increasing the current intensity gradually resulted in no responses at sub-0.3 mA levels, but higher intensities (p < 0.001) induced sensory perception and pain responses. Study two replicated these findings and additionally induced motor responses along with the sensory and pain responses. Conclusion Despite the theoretical classification of tPCS as a subsensory level of stimulation, and the expectation that individuals receiving this type of current should not typically feel its application on the body, this high-frequency tPCS device generates different levels of stimulation due to the physiological phenomenon known as temporal summation. These novel levels of stimulation could be viewed as either potential “side-effects” of high frequency tPCS or as additional “therapeutic benefits”. This dual capacity may position the device as one that generates both neuromodulatory and neurostimulatory currents. Comprehensive comprehension of this is vital for the development of therapeutic protocols that incorporate high-frequency tPCS. Copyright: © 2023 Jaberzadeh, Zoghi. 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: McDonough, Sharon
- Date: 2023
- Type: Text , Journal article
- Relation: Textile: The Journal of Cloth and Culture Vol. 21, no. 1 (2023), p. 293-296
- Full Text: false
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Identifying public healthcare priorities in virtual care for older adults : a participatory research study
- Pu, Dai, Palmer, Victoria, Greenstock, Louise, Pigott, Cathie, Peeters, Anna, Sanci, Lena, Callisaya, Michele, Browning, Colette, Chapman, Wendy, Haines, Terry
- Authors: Pu, Dai , Palmer, Victoria , Greenstock, Louise , Pigott, Cathie , Peeters, Anna , Sanci, Lena , Callisaya, Michele , Browning, Colette , Chapman, Wendy , Haines, Terry
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 5 (2023), p.
- Full Text:
- Reviewed:
- Description: There has been increasing adoption and implementation of virtual healthcare in recent years, especially with COVID-19 impacting the world. As a result, virtual care initiatives may not undergo stringent quality control processes to ensure that they are appropriate to their context and meet sector needs. The two objectives of this study were to identify virtual care initiatives for older adults currently in use in Victoria and virtual care challenges that could be prioritised for further investigation and scale-up and to understand why certain virtual care initiatives and challenges are prioritised over others for investigation and scale-up. Methods: This project used an Emerging Design approach. A survey of public health services in the state of Victoria in Australia was first carried out, followed by the co-production of research and healthcare priorities with key stakeholders in the areas of primary care, hospital care, consumer representation, research, and government. The survey was used to gather existing virtual care initiatives for older adults and any associated challenges. Co-production processes consisted of individual ratings of initiatives and group-based discussions to identify priority virtual care initiatives and challenges to be addressed for future scale-up. Stakeholders nominated their top three virtual initiatives following discussions. Results: Telehealth was nominated as the highest priority initiative type for scaling up, with virtual emergency department models of care nominated as the highest priority within this category. Remote monitoring was voted as a top priority for further investigations. The top virtual care challenge was data sharing across services and settings, and the user-friendliness of virtual care platforms was nominated as the top priority for further investigation. Conclusions: Stakeholders prioritised public health virtual care initiatives that are easy to adopt and address needs that are perceived to be more immediate (acute more so than chronic care). Virtual care initiatives that incorporate more technology and integrated elements are valued, but more information is needed to inform their potential scale-up. © 2023 by the authors.
- Authors: Pu, Dai , Palmer, Victoria , Greenstock, Louise , Pigott, Cathie , Peeters, Anna , Sanci, Lena , Callisaya, Michele , Browning, Colette , Chapman, Wendy , Haines, Terry
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 5 (2023), p.
- Full Text:
- Reviewed:
- Description: There has been increasing adoption and implementation of virtual healthcare in recent years, especially with COVID-19 impacting the world. As a result, virtual care initiatives may not undergo stringent quality control processes to ensure that they are appropriate to their context and meet sector needs. The two objectives of this study were to identify virtual care initiatives for older adults currently in use in Victoria and virtual care challenges that could be prioritised for further investigation and scale-up and to understand why certain virtual care initiatives and challenges are prioritised over others for investigation and scale-up. Methods: This project used an Emerging Design approach. A survey of public health services in the state of Victoria in Australia was first carried out, followed by the co-production of research and healthcare priorities with key stakeholders in the areas of primary care, hospital care, consumer representation, research, and government. The survey was used to gather existing virtual care initiatives for older adults and any associated challenges. Co-production processes consisted of individual ratings of initiatives and group-based discussions to identify priority virtual care initiatives and challenges to be addressed for future scale-up. Stakeholders nominated their top three virtual initiatives following discussions. Results: Telehealth was nominated as the highest priority initiative type for scaling up, with virtual emergency department models of care nominated as the highest priority within this category. Remote monitoring was voted as a top priority for further investigations. The top virtual care challenge was data sharing across services and settings, and the user-friendliness of virtual care platforms was nominated as the top priority for further investigation. Conclusions: Stakeholders prioritised public health virtual care initiatives that are easy to adopt and address needs that are perceived to be more immediate (acute more so than chronic care). Virtual care initiatives that incorporate more technology and integrated elements are valued, but more information is needed to inform their potential scale-up. © 2023 by the authors.
Impact of traditional and embedded image denoising on CNN-based deep learning
- Kaur, Roopdeep, Karmakar, Gour, Imran, Muhammad
- Authors: Kaur, Roopdeep , Karmakar, Gour , Imran, Muhammad
- Date: 2023
- Type: Text , Journal article
- Relation: Applied sciences Vol. 13, no. 20 (2023), p.
- Full Text:
- Reviewed:
- Description: In digital image processing, filtering noise is an important step for reconstructing a high-quality image for further processing such as object segmentation, object detection, and object recognition. Various image-denoising approaches, including median, Gaussian, and bilateral filters, are available in the literature. Since convolutional neural networks (CNN) are able to directly learn complex patterns and features from data, they have become a popular choice for image-denoising tasks. As a result of their ability to learn and adapt to various denoising scenarios, CNNs are powerful tools for image denoising. Some deep learning techniques such as CNN incorporate denoising strategies directly into the CNN model layers. A primary limitation of these methods is their necessity to resize images to a consistent size. This resizing can result in a loss of vital image details, which might compromise CNN’s effectiveness. Because of this issue, we utilize a traditional denoising method as a preliminary step for noise reduction before applying CNN. To our knowledge, a comparative performance study of CNN using traditional and embedded denoising against a baseline approach (without denoising) is yet to be performed. To analyze the impact of denoising on the CNN performance, in this paper, firstly, we filter the noise from the images using traditional means of denoising method before their use in the CNN model. Secondly, we embed a denoising layer in the CNN model. To validate the performance of image denoising, we performed extensive experiments for both traffic sign and object recognition datasets. To decide whether denoising will be adopted and to decide on the type of filter to be used, we also present an approach exploiting the peak-signal-to-noise-ratio (PSNRs) distribution of images. Both CNN accuracy and PSNRs distribution are used to evaluate the effectiveness of the denoising approaches. As expected, the results vary with the type of filter, impact, and dataset used in both traditional and embedded denoising approaches. However, traditional denoising shows better accuracy, while embedded denoising shows lower computational time for most of the cases. Overall, this comparative study gives insights into whether denoising will be adopted in various CNN-based image analyses, including autonomous driving, animal detection, and facial recognition.
- Authors: Kaur, Roopdeep , Karmakar, Gour , Imran, Muhammad
- Date: 2023
- Type: Text , Journal article
- Relation: Applied sciences Vol. 13, no. 20 (2023), p.
- Full Text:
- Reviewed:
- Description: In digital image processing, filtering noise is an important step for reconstructing a high-quality image for further processing such as object segmentation, object detection, and object recognition. Various image-denoising approaches, including median, Gaussian, and bilateral filters, are available in the literature. Since convolutional neural networks (CNN) are able to directly learn complex patterns and features from data, they have become a popular choice for image-denoising tasks. As a result of their ability to learn and adapt to various denoising scenarios, CNNs are powerful tools for image denoising. Some deep learning techniques such as CNN incorporate denoising strategies directly into the CNN model layers. A primary limitation of these methods is their necessity to resize images to a consistent size. This resizing can result in a loss of vital image details, which might compromise CNN’s effectiveness. Because of this issue, we utilize a traditional denoising method as a preliminary step for noise reduction before applying CNN. To our knowledge, a comparative performance study of CNN using traditional and embedded denoising against a baseline approach (without denoising) is yet to be performed. To analyze the impact of denoising on the CNN performance, in this paper, firstly, we filter the noise from the images using traditional means of denoising method before their use in the CNN model. Secondly, we embed a denoising layer in the CNN model. To validate the performance of image denoising, we performed extensive experiments for both traffic sign and object recognition datasets. To decide whether denoising will be adopted and to decide on the type of filter to be used, we also present an approach exploiting the peak-signal-to-noise-ratio (PSNRs) distribution of images. Both CNN accuracy and PSNRs distribution are used to evaluate the effectiveness of the denoising approaches. As expected, the results vary with the type of filter, impact, and dataset used in both traditional and embedded denoising approaches. However, traditional denoising shows better accuracy, while embedded denoising shows lower computational time for most of the cases. Overall, this comparative study gives insights into whether denoising will be adopted in various CNN-based image analyses, including autonomous driving, animal detection, and facial recognition.
Improving soil stability with alum sludge : an ai-enabled approach for accurate prediction of california bearing ratio
- Baghbani, Abolfazl, Nguyen, Minh, Alnedawi, Ali, Milne, Nick, Baumgartl, Thomas, Abuel-Naga, Hossam
- Authors: Baghbani, Abolfazl , Nguyen, Minh , Alnedawi, Ali , Milne, Nick , Baumgartl, Thomas , Abuel-Naga, Hossam
- Date: 2023
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 13, no. 8 (2023), p.
- Full Text:
- Reviewed:
- Description: Alum sludge is a byproduct of water treatment plants, and its use as a soil stabilizer has gained increasing attention due to its economic and environmental benefits. Its application has been shown to improve the strength and stability of soil, making it suitable for various engineering applications. However, to go beyond just measuring the effects of alum sludge as a soil stabilizer, this study investigates the potential of artificial intelligence (AI) methods for predicting the California bearing ratio (CBR) of soils stabilized with alum sludge. Three AI methods, including two black box methods (artificial neural network and support vector machines) and one grey box method (genetic programming), were used to predict CBR, based on a database with nine input parameters. The results demonstrate the effectiveness of AI methods in predicting CBR with good accuracy (R2 values ranging from 0.94 to 0.99 and MAE values ranging from 0.30 to 0.51). Moreover, a novel approach, using genetic programming, produced an equation that accurately estimated CBR, incorporating seven inputs. The analysis of parameter sensitivity and importance, revealed that the number of hammer blows for compaction was the most important parameter, while the parameters for maximum dry density of soil and mixture were the least important. This study highlights the potential of AI methods as a useful tool for predicting the performance of alum sludge as a soil stabilizer. © 2023 by the authors.
- Authors: Baghbani, Abolfazl , Nguyen, Minh , Alnedawi, Ali , Milne, Nick , Baumgartl, Thomas , Abuel-Naga, Hossam
- Date: 2023
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 13, no. 8 (2023), p.
- Full Text:
- Reviewed:
- Description: Alum sludge is a byproduct of water treatment plants, and its use as a soil stabilizer has gained increasing attention due to its economic and environmental benefits. Its application has been shown to improve the strength and stability of soil, making it suitable for various engineering applications. However, to go beyond just measuring the effects of alum sludge as a soil stabilizer, this study investigates the potential of artificial intelligence (AI) methods for predicting the California bearing ratio (CBR) of soils stabilized with alum sludge. Three AI methods, including two black box methods (artificial neural network and support vector machines) and one grey box method (genetic programming), were used to predict CBR, based on a database with nine input parameters. The results demonstrate the effectiveness of AI methods in predicting CBR with good accuracy (R2 values ranging from 0.94 to 0.99 and MAE values ranging from 0.30 to 0.51). Moreover, a novel approach, using genetic programming, produced an equation that accurately estimated CBR, incorporating seven inputs. The analysis of parameter sensitivity and importance, revealed that the number of hammer blows for compaction was the most important parameter, while the parameters for maximum dry density of soil and mixture were the least important. This study highlights the potential of AI methods as a useful tool for predicting the performance of alum sludge as a soil stabilizer. © 2023 by the authors.
Investigation of hillslope vineyard soil water dynamics using field measurements and numerical modeling
- Krevh, Vedran, Groh, Jannis, Weihermüller, Lutz, Filipović, Lana, Defterdarović, Jasmina, Kovač, Zoran, Magdić, Ivan, Lazarević, Boris, Baumgartl, Thomas, Filipović, Vilim
- Authors: Krevh, Vedran , Groh, Jannis , Weihermüller, Lutz , Filipović, Lana , Defterdarović, Jasmina , Kovač, Zoran , Magdić, Ivan , Lazarević, Boris , Baumgartl, Thomas , Filipović, Vilim
- Date: 2023
- Type: Text , Journal article
- Relation: Water (Switzerland) Vol. 15, no. 4 (2023), p.
- Full Text:
- Reviewed:
- Description: Soil heterogeneities can impact hillslope hydropedological processes (e.g., portioning between infiltration and runoff), creating a need for in-depth knowledge of processes governing water dynamics and redistribution. The presented study was conducted at the SUPREHILL Critical Zone Observatory (CZO) (hillslope vineyard) in 2021. A combination of field investigation (soil sampling and monitoring campaign) and numerical modeling with hydrological simulator HYDRUS-1D was used to explore the water dynamics in conjunction with data from a sensor network (soil water content (SWC) and soil-water potential (SWP) sensors), along the hillslope (hilltop, backslope, and footslope). Soil hydraulic properties (SHP) were estimated based on (i) pedotransfer functions (PTFs), (ii) undisturbed soil cores, and (iii) sensor network data, and tested in HYDRUS. Additionally, a model ensemble mean from HYDRUS simulations was calculated with PTFs. The highest agreement of simulated with observed SWC for 40 cm soil depth was found with the combination of laboratory and field data, with the lowest average MAE, RMSE and MAPE (0.02, 0.02, and 5.34%, respectively), and highest average R2 (0.93), while at 80 cm soil depth, PTF model ensemble performed better (MAE = 0.03, RMSE = 0.03, MAPE = 7.55%, R2 = 0.81) than other datasets. Field observations indicated that heterogeneity and spatial variability regarding soil parameters were present at the site. Over the hillslope, SWC acted in a heterogeneous manner, which was most pronounced during soil rewetting. Model results suggested that the incorporation of field data expands model performance and that the PTF model ensemble is a feasible option in the absence of laboratory data. © 2023 by the authors.
- Authors: Krevh, Vedran , Groh, Jannis , Weihermüller, Lutz , Filipović, Lana , Defterdarović, Jasmina , Kovač, Zoran , Magdić, Ivan , Lazarević, Boris , Baumgartl, Thomas , Filipović, Vilim
- Date: 2023
- Type: Text , Journal article
- Relation: Water (Switzerland) Vol. 15, no. 4 (2023), p.
- Full Text:
- Reviewed:
- Description: Soil heterogeneities can impact hillslope hydropedological processes (e.g., portioning between infiltration and runoff), creating a need for in-depth knowledge of processes governing water dynamics and redistribution. The presented study was conducted at the SUPREHILL Critical Zone Observatory (CZO) (hillslope vineyard) in 2021. A combination of field investigation (soil sampling and monitoring campaign) and numerical modeling with hydrological simulator HYDRUS-1D was used to explore the water dynamics in conjunction with data from a sensor network (soil water content (SWC) and soil-water potential (SWP) sensors), along the hillslope (hilltop, backslope, and footslope). Soil hydraulic properties (SHP) were estimated based on (i) pedotransfer functions (PTFs), (ii) undisturbed soil cores, and (iii) sensor network data, and tested in HYDRUS. Additionally, a model ensemble mean from HYDRUS simulations was calculated with PTFs. The highest agreement of simulated with observed SWC for 40 cm soil depth was found with the combination of laboratory and field data, with the lowest average MAE, RMSE and MAPE (0.02, 0.02, and 5.34%, respectively), and highest average R2 (0.93), while at 80 cm soil depth, PTF model ensemble performed better (MAE = 0.03, RMSE = 0.03, MAPE = 7.55%, R2 = 0.81) than other datasets. Field observations indicated that heterogeneity and spatial variability regarding soil parameters were present at the site. Over the hillslope, SWC acted in a heterogeneous manner, which was most pronounced during soil rewetting. Model results suggested that the incorporation of field data expands model performance and that the PTF model ensemble is a feasible option in the absence of laboratory data. © 2023 by the authors.