bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategies to promote the completion of patient-reported outcome measures by culturally and linguistically diverse and Indigenous Peoples in clinical care settings: a systematic review.
Authors: Nikolovski Jessica , Kim Bora , Morton Rachael L. , Mercieca-Bebber Rebecca , Levesque Jean-Frédéric , Tinsley Melissa , Sutherland Kim , Rossiter Brad , Fagan Margaret , Hartas Gill , Rutherford Claudia 
Published: October 2024

Abstract

Purpose There is evidence of poor completion of patient-reported outcome measures (PROMs) by culturally and linguistically diverse (CALD) and Indigenous populations with chronic health conditions. We aimed to systematically review strategies used to increase PROM uptake and completion of PROMs by CALD and Indigenous Peoples in clinical care settings and develop specific recommendations to promote PROM completion in these populations.Methods We searched Medline, Embase, Scopus, Web of Science Core Collections and CINAHL databases from 1 January 2000 to 19 September 2024. Primary studies were included if they focused on strategies/enablers of PROMs use in the care of CALD and Indigenous populations in clinical care settings. The quality of included papers was appraised independently by two reviewers, using the Critical Appraisal Skills Programme (CASP) and Mixed Methods Appraisal Tool (MMAT). Data were analysed thematically. PROSPERO registration: CRD42023469317.Results Of 13,450 title/abstracts retrieved, five papers met eligibility. Strategies to promote PROM completion by Indigenous Peoples included 1) providing training to patients about what PROMs are and 2) offering verbal modes of completion and 3) community consultation during design, development, and implementation of PROMs to ensure culturally appropriate and sensitive PROMs are used. Strategies to increase completion amongst CALD populations included 1) providing information about how to use electronic PROMs, 2) facilitating self-completion, 3) offering different modes of completion (paper-based, digital), and 4) increasing availability and system-wide support of culturally and linguistically appropriate PROM translations.Conclusion Few studies reported strategies to increase the completion of PROMs by CALD and/or Indigenous Peoples. Adequate training, planning (including community consultation), resourcing, and financial support are required to encourage CALD and Indigenous Peoples to participate in PROM initiatives globally.
Long-term effects of wildfires on river water quality: a comprehensive review of the variability of water quality in South Korea
Authors: Kim Changju , Han Heechan 
Published: October 2024

ABSTRACT
After wildfires, the loss of the humus layer leads to increased runoff and pollutants entering rivers. This study examined the long-term effects of wildfires on water quality. We statistically analyzed the changes in the water quality of streams surrounding the wildfire area. We used eight water quality parameters provided by the National Institute of Environmental Research for the analysis. To assess the impact of the wildfires, we employed t-tests and point-biserial correlation analysis to compare the changes in water quality indicators before and after the wildfires. Additionally, an analysis of variance was conducted to evaluate the impact of three wildfires, each occurring in different periods, on the water quality in a single river basin. The results showed increasing trends in hydrogen ion concentration (pH), electrical conductivity, and dissolved oxygen after the wildfire, whereas biochemical oxygen demand, total phosphorus, and total nitrogen exhibited decreasing trends. The impact of wildfires on changes in suspended solids was relatively minimal. It is expected that the results of this study provide valuable insights into developing water quality management and restoration plans following wildfires.
Effect of integrated microbial fuel cell in a two-stage vertical flow constructed wetland for piggery wastewater treatment and resource recovery by photobioreactor
Authors: Gogoi Jayanta , N Karan , Nalwad Abhishek , Ganguly Anasuya , Mutnuri Srikanth 
Published: October 2024

ABSTRACT

This study developed a nature-based pilot-scale technology for simultaneous piggery WW treatment and resource recovery potential. The technology comprised a two-stage vertical flow constructed wetland (2-VFCW) integrated with a microbial fuel cell (MFC) and microalgal photobioreactor. The first and second stage was an unsaturated and saturated type, respectively. The bioelectricity generation was optimised by investigating the suitable electrode zonation, hydraulic retention time (HRT) and WW loading rate. The 2-VFCW-MFC-treated effluent was studied to grow microalgae for biomass production. The 2-VFCW-MFC showed better treatment efficiency than the 2-VFCW, possibly due to enhanced microbial activity on the electrode surface, leading to improved organic matter degradation and electron transfer to the cathode, enhancing NO3− and PO43− reduction. The 2-VFCW-MFC with electrode zonation of 20 cm (cathode) and 60 cm (anode) and HRT of 76 h, 48 min showed the highest open-circuit voltage of 291.83+13.53 mV and WW treatment efficiency. The highest algal biomass of 21,323.34+8,316.26 mg/L (wet weight) was produced at HRT of 96 h, then entered the death phase. Comparatively, the 2-VFCW-MFC showed higher WW treatment efficiency than 2-VFCW at 2 L/day by 23.24% COD, 27.43% TOC, 33.05% PO43−, 13.51% NO3−, 8.14% TN, except TAN (22.71%).
Spatiotemporal monitoring of groundwater supply and active energy for irrigation practice in semi-arid regions of Tunisia with machine learning
Authors: Ben Mariem Sana , Kanzari Sabri , Zghibi Adel , Mouelhi Safouane , Bahrouni Hassouna , Ben Abdallah Mohamed Ali 
Published: October 2024

ABSTRACT
Semiarid regions are facing overexploitation of groundwater resources to meet irrigation needs. Monitoring the water-energy nexus allows for optimal management of extracted water volumes and consumed energy. The Nabeul region of Tunisia was selected where 14 farmers, whose wells were equipped with smart electricity and water meters (SWEMs), for instant monitoring of pumped water volumes and the electrical energy required for irrigation. Monthly data over a period of eight months were used to study the variations in water volumes and active energy. The analysis of variance classified farmers into four groups based on water volumes and five groups based on active energy. Spatial variability analysis using kriging showed that the northeast zone is the most solicited in terms of water pumping and energy consumption with water volume exceeding 4,000 m3/month and active energy reaching 2,500 kWh/month. The prediction of energy based on water volume using machine learning techniques such as random forest and support vector machine was successfully conducted. The tools generated by the methodology were applied to a chosen case in the region to estimate active energy and validate the results obtained. The implemented framework allows for better management of groundwater resources for irrigation.
Towards more realistic stochastic modelling of leakage in water distribution systems
Authors: Beygi Soheila , van Zyl Jakobus E. 
Published: October 2024

ABSTRACT

A new stochastic model is developed to predict leak types and sizes in water distribution systems. By linking records of actual failures in water networks with new tools for stochastic modelling, the study provides more accurate estimates of network leakage behaviour. District metered areas (DMAs) have been adopted internationally as best practice for monitoring and controlling leakage, with the infrastructure leakage index (ILI) as the main performance indicator. The leakage exponent (N1), which quantifies the relationship between leakage rate and pressure, is a key parameter in describing DMA leakage behaviour. After analysing thousands of stochastic networks for different combinations of pipe material and ILI, the study found that different pipe materials have distinct leakage exponent distributions. Iron and asbestos cement (AC) pipes display N1 values close to 0.5, polyvinyl chloride (PVC) pipes have the highest N1 values, and polyethylene (PE) lies between PVC and iron/AC. The study further showed that current guidelines linking ILI to N1 for different pipe materials depart substantially from the observed results, indicating that these guidelines may need to be updated. The study provides a tool for more realistic modelling of leakage that offers valuable insights into the behaviour of leakage in different pipe materials.
Membrane technology as a strategy for microplastics removal from landfill leachate: a review
Authors: Brito Fabio , Santos Carolina , Carpanez Thais , Moreira Victor Rezende , Amaral Míriam 
Published: October 2024

ABSTRACT

This study offers a comprehensive review of global microplastic (MP) contamination in landfill leachate (LL) and examines remediation strategies using membrane technologies such as ultrafiltration (UF), nanofiltration (NF), reverse osmosis (RO), and membrane bioreactors (MBRs). Research investigations and full-scale applications of these technologies for treating LL demonstrate their efficacy as viable solutions for on-site leachate treatment, providing promise in mitigating LL toxicity and reducing the environmental and human health risks associated with MP pollution. While the size of MPs in LL may raise questions about the necessity of using NF and RO membranes for MP removal, these processes are commonly employed in many landfills to serve as barriers for MP retention. Despite the high efficacy of MBR systems in removing MPs, the accumulation of MPs in the biological sludge can adversely affect biological performance and membrane fouling, necessitating further exploration. In general, membrane technologies face challenges such as membrane fouling and the release of MPs. Therefore, further research is needed to address MP removal, understand membrane–MP interactions, explore cleaning strategies in LL treatment and their impact on MP release from membranes, and study the integrity of membranes after continuous exposure to LL under varied operating conditions.
Behavior Change Techniques Used in Self-Management Interventions Based on mHealth Apps for Adults With Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Zhou You , Li Si-Jia , Huang Ren-Qian , Ma Hao-Ming , Wang Ao-Qi , Tang Xing-Yi , Pei Run-Yuan , Piao Mei-Hua 
Published: October 2024

Background
Hypertension has become an important global public health challenge. Mobile health (mHealth) intervention is a viable strategy to improve outcomes for patients with hypertension. However, evidence on the effect of mHealth app interventions on self-management in patients with hypertension is yet to be updated, and the active ingredients promoting behavior change in interventions remain unclear.

Objective
We aimed to evaluate the effect of mHealth app self-management interventions on blood pressure (BP) management and investigate the use of behavior change techniques (BCTs) in mHealth app interventions.

Methods
We conducted a literature search in 6 electronic databases from January 2009 to October 2023 for studies reporting the application of mHealth apps in self-management interventions. The Cochrane Risk of Bias (version 2) tool for randomized controlled trials was used to assess the quality of the studies. BCTs were coded according to the Taxonomy of BCTs (version 1). The extracted data were analyzed using RevMan5.4 software (Cochrane Collaboration).

Results
We reviewed 20 studies, of which 16 were included in the meta-analysis. In total, 21 different BCTs (mean 8.7, SD 3.8 BCTs) from 12 BCT categories were reported in mHealth app interventions. The most common BCTs were self-monitoring of outcomes of behavior, feedback on outcomes of behavior, instruction on how to perform the behavior, and pharmacological support. The mHealth app interventions resulted in a –5.78 mm Hg (95% CI –7.97 mm Hg to –3.59 mm Hg; P<.001) reduction in systolic BP and a –3.28 mm Hg (95% CI –4.39 mm Hg to –2.17 mm Hg; P<.001) reduction in diastolic BP. The effect of interventions on BP reduction was associated with risk factors, such as hypertension, that were addressed by the mHealth app intervention (multiple risk factors vs a single risk factor: –6.50 mm Hg, 95% CI –9.00 mm Hg to –3.99 mm Hg vs –1.54 mm Hg, 95% CI –4.15 mm Hg to 1.06 mm Hg; P=.007); the presence of a theoretical foundation (with vs without behavior change theory: –10.06 mm Hg, 95% CI –16.42 mm Hg to –3.70 mm Hg vs –4.13 mm Hg, 95% CI –5.50 to –2.75 mm Hg; P=.07); intervention duration (3 vs ≥6 months: –8.87 mm Hg, 95% CI –10.90 mm Hg to –6.83 mm Hg vs –5.76 mm Hg, 95% CI –8.74 mm Hg to –2.77 mm Hg; P=.09); and the number of BCTs (≥11 vs <11 BCTs: –9.68 mm Hg, 95% CI –13.49 mm Hg to –5.87 mm Hg vs –2.88 mm Hg, 95% CI –3.90 mm Hg to –1.86 mm Hg; P<.001).

Conclusions
The self-management interventions based on mHealth apps were effective strategies for lowering BP in patients with hypertension. The effect of interventions was influenced by factors related to the study’s intervention design and BCT.
Social Media Usage for Medical Education and Smartphone Addiction Among Medical Students: National Web-Based Survey
Authors: Clavier Thomas , Chevalier Emma , Demailly Zoé , Veber Benoit , Messaadi Imad-Abdelkader , Popoff Benjamin 
Published: October 2024

Abstract

Background
Social media (SoMe) have taken a major place in the medical field, and younger generations are increasingly using them as their primary source to find information.

Objective
This study aimed to describe the use of SoMe for medical education among French medical students and assess the prevalence of smartphone addiction in this population.

Methods
A cross-sectional web-based survey was conducted among French medical students (second to sixth year of study). The questionnaire collected information on SoMe use for medical education and professional behavior. Smartphone addiction was assessed using the Smartphone Addiction Scale Short-Version (SAS-SV) score.

Results
A total of 762 medical students responded to the survey. Of these, 762 (100%) were SoMe users, spending a median of 120 (IQR 60‐150) minutes per day on SoMe; 656 (86.1%) used SoMe for medical education, with YouTube, Instagram, and Facebook being the most popular platforms. The misuse of SoMe in a professional context was also identified; 27.2% (207/762) of students posted hospital internship content, and 10.8% (82/762) searched for a patient’s name on SoMe. Smartphone addiction was prevalent among 29.1% (222/762) of respondents, with a significant correlation between increased SoMe use and SAS-SV score (r=0.39, 95% CI 0.33‐0.45; P<.001). Smartphone-addicted students reported a higher impact on study time (211/222, 95% vs 344/540, 63.6%; P<.001) and a greater tendency to share hospital internship content on social networks (78/222, 35.1% vs 129/540, 23.8%; P=.002).

Conclusions
Our findings reveal the extensive use of SoMe for medical education among French medical students, alongside a notable prevalence of smartphone addiction. These results highlight the need for medical schools and educators to address the responsible use of SoMe and develop strategies to mitigate the risks associated with excessive use and addiction.
Contribution of Green Supply Chain Management Practices towards a Sustainable Development—Applied Study in the Food Industry in Lebanon
Authors: Ayoubi Mohamad Saad El 
Published: October 2024

This paper explores the effect of Green Supply Chain Management (GSCM) practices on the dimensions of Sustainable Development (SD) in the context of the Lebanese food industry. It aimed to examine to what extent GSCM practices and SD schemes are perceived in the food industry. As there is a growing concern and raising awareness of traceability among consumers in the food supply, researches can have a contribution to develop sustainability in food industry. As such, six GSCM practices, namely Eco-design (ED), Internal Environmental Management (IEM), Investment Recovery (IR), Green Purchasing (GP), Environmental Cooperation (EC) and Reverse Logistics (RL) were employed. These six GSCM variables were used to analyze structural relationships with the three dimensions of the SD, that is to say economic, environmental and social performances. The proposed model was tested using a questionnaire based survey via two modes of face to face and emails using a plant survey, senior managers of 88 food companies in Lebanon. The data were analyzed in SPSS and AMOS statistical programs. An Exploratory (Unrestricted) Factor Analysis (EFA), Confirmatory (Restricted) Factor Analysis (CFA) and multiple regressions were applied. The Structural Equation Modeling (SEM) revealed that the GSCM practices IR, GP, ED and IEM had significant relationships with one or more of the SD dimensions.On the basis of the findings, implications that may ameliorate the effect of GSCM practices on the SD dimensions can be taken into consideration. For instance, the enhance of the environmental cooperation with the suppliers and customers, improving the image of the company in the mind of their customers, reinforcing the commitment of GSCM from managers, utilization of cleaner technology, activation of internal performance evaluation system, enhancing the labor conditions and performing special training for workers on environmental issues.
Processos mentais e construção de sentidos na fundamentação teórica da tese de doutorado
Authors: Frutuoso Anikele 
Published: October 2024

A tese de doutorado é um texto que requer dos autores rigor nas escolhas linguí­sticas, posicionamento e maior processamento mental. Cada unidade retórica que compõe o texto da tese de doutorado carrega em si funções que lhes são inerentes. Nesse sentido, a Fundamentação Teórica da tese de doutorado tem como função maior apresentar uma discussão pertinente acerca da teoria a qual embasa a tese. Os processos mentais configuram como grupos verbais responsáveis por sentidos relacionados à consciência, à emoção, ao desejo, a percepção. Assim sendo, este artigo propõe analisar ouso dos processos mentais na construção de sentido da unidade retórica Fundamentação Teórica da tese de doutorado. Desse modo, elencamos como aporte teórico a Linguí­stica Sistêmico-Funcional (HALLIDAY E MATHIESSEN, 2004, 2014) entre outros estudiosos dessa vertente teórica, como Fuzer e Cabral (2014), no Brasil. Utilizamos o corpus TACTESE, de Figueiredo-Gomes e Bertuleza (no prelo). Para recenseamento dos processos mentais utilizamos a ferramenta concord para visualização das listas de orações mentais presentes no corpus. Os resultados mostram que os processos cognitivos predominam em maior frequência (82,3 %), são usados para construir argumentação, apresentar objetos teóricos na unidade retórica Fundamentação Teórica. Em sequência, aparecem os processos desiderativos que representam 9% das ocorrências e realizam significados relacionados a entidos inerentes a vontades, asseveração em relação a pontuações teóricas, os perceptivos, com menor frequência 4,7% são usados para representar percepções, os emotivos com 4% que inferem sentidos relacionados a graus de emoção. O alto uso de processos mentais no corpus revela como o sistema de transitividade se configura como recurso léxicogramatical para construir sentidos na da unidade retórica Fundamentação Teórica.
Risk of Infection in Older Adults With Type 2 Diabetes With Relaxed Glycemic Control
Authors: Lipska Kasia J. , Gilliam Lisa K. , Lee Catherine , Liu Jennifer Y. , Liu Vincent X. , Moffet Howard H. , Parker Melissa M. , Zapata Heidi , Karter Andrew J. 
Published: October 2024

OBJECTIVE
To compare the risk of hospitalization for infection among patients who achieve intensive versus relaxed glycemic control.

RESEARCH DESIGN AND METHODS
This retrospective cohort study included adults age ≥65 years with type 2 diabetes from an integrated health care delivery system. Negative binomial models were used to estimate incidence rates and relative risk (RR) of hospitalization for infections (respiratory; genitourinary; skin, soft tissue, and bone; and sepsis), comparing two levels of relaxed (hemoglobin A1c [HbA1c] 7% to &lt;8% and 8% to &lt;9%) with intensive (HbA1c 6% to &lt;7%) glycemic control from 1 January 2019 to 1 March 2020.

RESULTS
Among 103,242 older patients (48.5% with HbA1c 6% to &lt;7%, 35.3% with HbA1c 7% to &lt;8%, and 16.1% with HbA1c 8% to &lt;9%), the rate of hospitalization for infections was 51.3 per 1,000 person-years. Compared with HbA1c 6% to &lt;7%, unadjusted risk of hospitalization for infections was significantly elevated among patients with HbA1c 8% to &lt;9% (RR 1.25; 95% CI 1.13, 1.39) but not among patients with HbA1c 7% to &lt;8% (RR 0.99; 95% CI 0.91, 1.08), and the difference became nonsignificant after adjustment. Across categories of infections, the adjusted RR of hospitalization was significantly higher among patients with HbA1c 8% to &lt;9% only for skin, soft tissue, and bone infection (RR 1.33; 95% CI 1.05, 1.69).

CONCLUSIONS
Older patients with type 2 diabetes who achieve relaxed glycemic control levels endorsed by clinical guidelines are not at significantly increased risk of hospitalization for most infections, but HbA1c 8% to &lt;9% is associated with an increased risk of hospitalization for skin, soft tissue, and bone infections.
Life Lessons and Diabetes Research
Authors: Trief Paula M. 
Published: October 2024

Editor’s Note
This article was adapted from the address Dr. Trief delivered as the recipient of the American Diabetes Association’s Richard R. Rubin Award for 2024. This award recognizes a behavioral researcher who has made outstanding, innovative contributions to the study and understanding of the behavioral aspects of diabetes in diverse populations. Dr. Trief delivered the address in June 2024 at the Association’s 84th Scientific Sessions.