bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nudging parents and teachers to improve learning and reduce child labor in Cote d’Ivoire
Authors: Wolf Sharon , Lichand Guilherme 
Published: September 2023

AbstractWhether SMS-based nudge interventions can increase parent engagement and improve child learning outcomes across diverse contexts such as rural West Africa is unknown. We conducted a school-randomized trial to test the impacts of an audio or text-message intervention (two messages per week for one school year) to parents and teachers of second and fourth grade students (N = 100 schools, 2246 students) in Cote d’Ivoire. Schools were randomly assigned to have messages sent to (i) parents only, (ii) teachers only, (iii) parents and teachers together, or (iv) control. There were statistically non-significant impacts of the parents-only treatment on learning, although with typical effect sizes (d = 0.08, p = 0.158), and marginally statistically significant increases in child labor (d = 0.11, p < 0.10). We find no impacts of the other treatment conditions. Subgroup analyses based on pre-registered subgroups show significantly larger improvements in learning for children with below-median baseline learning levels for the parents-only arm and negative impacts on learning for girls for the teachers-only arm, suggesting different conclusions regarding impacts on equity for vulnerable children.
Prevalence of anxiety, depression, mania, insomnia, stress, suicidal ideation, psychotic experiences, & loneliness in UK university students
Authors: Akram Umair , Irvine Kamila , Gardani Maria , Allen Sarah , Akram Asha , Stevenson Jodie C. 
Published: September 2023

AbstractDespite existing wellbeing services, university students remain particularly vulnerable to mental health difficulties. Therefore, this study was designed to provide a comprehensive assessment of the prevalence of psychiatric symptoms by using well validated scales with robust psychometric properties. More specifically, the current data provides crucial information concerning the prevalence of anxiety, depression, mania, insomnia, stress, suicidal ideation, psychotic experiences and loneliness amongst a sample of N = 1408 UK university students. A cross-sectional online questionnaire-based study was implemented. Online recruitment for this dataset began on September 17th, 2018, and ended on the 30th July 2019. Eight validated measures were used: Generalized Anxiety Disorder Scale; Patient Health Questionnaire; The Mood Disorder Questionnaire; The Sleep Condition Indicator; The Perceived Stress Scale; Suicidal Behaviours Questionnaire-Revised; The Prodromal Questionnaire 16 (PQ-16); and the University of California Loneliness Scale. The dataset is available to other researchers and is provided on figshare. Information concerning the data records, usage notes, code availability and technical validation are presented. Finally, we present demographic information concerning psychiatric symptom prevalence.
Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection
Authors: Laghari Asif Ali , Sun Yanqiu , Alhussein Musaed , Aurangzeb Khursheed , Anwar Muhammad Shahid , Rashid Mamoon 
Published: September 2023

AbstractAtrial fibrillation easily leads to stroke, cerebral infarction and other complications, which will seriously harm the life and health of patients. Traditional deep learning methods have weak anti-interference and generalization ability. Therefore, we propose a new-fashioned deep residual-dense network via bidirectional recurrent neural network (RNN) model for atrial fibrillation detection. The combination of one-dimensional dense residual network and bidirectional RNN for atrial fibrillation detection simplifies the tedious feature extraction steps, and constructs the end-to-end neural network to achieve atrial fibrillation detection through data feature learning. Meanwhile, the attention mechanism is utilized to fuse the different features and extract the high-value information. The accuracy of the experimental results is 97.72%, the sensitivity and specificity are 93.09% and 98.71%, respectively compared with other methods.
A novel GBDT-BiLSTM hybrid model on improving day-ahead photovoltaic prediction
Authors: Wang Senyao , Ma Jin 
Published: September 2023

AbstractDespite being a clean and renewable energy source, photovoltaic (PV) power generation faces severe challenges in operation due to its strong intermittency and volatility compared to the traditional fossil fuel power generation. Accurate predictions are therefore crucial for PV’s grid connections and the system security. The existing methods often rely heavily on weather forecasts, the accuracy of which is hard to be guaranteed. This paper proposes a novel GBDT-BiLSTM day-ahead PV forecasting model, which leverages the Teacher Forcing mechanism to combine the strong time-series processing capabilities of BiLSTM with an enhanced GBDT model. Given the uncertainty and volatility inherent in solar energy and weather conditions, the gradient boosting method is employed to update the weak learner, while a decision tree is incorporated to update the strong learner. Additionally, to explore the correlation between photovoltaic power output and historical time-series data, the adaptive gradient descent-based Adam algorithm is utilized to train the bidirectional LSTM model, enhancing the accuracy and stability of mid- to long-term time-series predictions. A prediction experiment, conducting with the real data from a PV power station in Sichuan Province, China, was compared with other methods to verify the model’s effectiveness and robustness.
Influence of Helicobacter pylori infection on risk of rheumatoid arthritis: a nationwide population-based study
Authors: Lee Tzu-Hsuan , Wu Meng-Che , Lee Ming-Hung , Liao Pei-Lun , Lin Chieh-Chung , Wei James Cheng-Chung 
Published: September 2023

AbstractThe relationship between Helicobacter pylori infection and rheumatoid arthritis has been investigated, but the results remain controversial. This study aims to determine the association between the two diseases via a 17-year retrospective cohort study. Using the National Health Insurance Research Database, a nationwide population based in Taiwan, we identified 97,533 individuals with H. pylori infection and matched controls between 2000 and 2017 using propensity score matching at a 1:1 ratio. The adjusted hazard ratio of rheumatoid arthritis was determined by multiple Cox regression. The incidence rate of rheumatoid arthritis was 1.28 per 10,000 person-months in the H. pylori cohort, with a higher risk compared to the control group. In the < 30 years old subgroup, the risk was highest, especially in women < 30 years old with H. pylori infection. Patients with < 1 year follow-up showed 1.58 times higher susceptibility to rheumatoid arthritis. Individuals with follow-ups of 1–5 years and over 5 years demonstrated 1.43 and 1.44 times higher risks of rheumatoid arthritis, respectively. Our study showed H. pylori infection was associated with the development of rheumatoid arthritis. Clinicians should note higher risk, especially < 30 years old. More research needed to understand underlying mechanism.
Meat hygiene knowledge, handling practices and associated factors among meat handlers in Gedeo zone, Ethiopia
Authors: Ashuro Zemachu , Zeysse Nathnael , Ayalew Mulugeta 
Published: September 2023

AbstractA cross-sectional study was conducted among 239 randomly selected meat handlers working in butcher shop in southern Ethiopia to assess factors associated with meat hygiene knowledge and practices. A binary logistic regression analysis with a 95% confidence interval (CI) and a p-value < 0.05 was used to identify factors that were significantly associated with good level of meat hygiene knowledge and practices. The findings revealed that 38.5% [95% CI: 32.2–44.8%] and 25.1% [95% CI: 19.7–30.5%] of meat handlers have good levels of meat hygiene knowledge and practices, respectively. Good level of meat hygiene knowledge was significantly (p < 0.05) associated with educational level, having meat hygiene training, and having regular supportive supervision by health workers, whereas good level of meat handling practice was significantly associated with work experience, educational level, have regular supportive supervision by health professionals, and having meat hygiene training. In conclusion, the majority of meat handlers have poor knowledge and practices regarding meat hygiene among meat handlers. Educational level, meat hygiene training, and supportive supervision by a health professionals were all independent predictors of meat hygiene knowledge and practice among meat handlers. As a result, health professionals should give regular training, butcher shop inspections, and supportive supervision for meat handlers in order to improve meat hygiene knowledge and practices among meat handlers.
Factors predicting willingness to quit snus and cigarette use among young males
Authors: Danielsson Maria , Lammi Anelma , Siitonen Simo , Ollgren Jukka , Pylkkänen Liisa , Vasankari Tuula 
Published: September 2023

AbstractThe health hazards of smoking are well recognised and recently knowledge about the harmful effects of nicotine and snus is accumulating. We investigated the factors increasing the willingness of young Finnish males to quit snus and cigarette smoking. We conducted a questionnaire study conducted in 3 out of 16 Finnish Defence Forces units which included 6508 male conscripts, of whom 4706 responded (response rate 72%, mean age 19.4 years). Factors related to the willingness to quit use were analysed by ordinal regression models. Backward selection following the Akaike information criterion (AIC) was used for the model. The prevalence figures of daily snus use and smoking were 17% and 25%, respectively. 16% of the daily snus users were also daily smokers and 29% were occasional smokers. Multivariate analysis showed that the willingness to quit snus use was associated with the perception of health hazards (OR 3.09, 95% CI 1.94–4.93) and with ≥ 2 quit attempts (OR 3.63, 95% CI 2.44–5.40). The willingness to quit smoking was associated with ≥ 2 quit attempts (OR 3.22, 95% CI 2.32–4.49), and with advice to quit smoking (OR 1.65, 95% CI 1.17–2.32). We created a brief two-question assessment model for snus dependence. With this model, nicotine dependence of daily snus users was congruent with that of nicotine dependence of smokers. A direct comparison with serum cotinine levels is necessary before our assessment model can be used as a proxy for dependence. Regular snus use predisposes to nicotine addiction and accumulated health hazards. Our findings underscore the importance of health promotion efforts in early adolescence and of active support for quitting snus use. Easily applicable tools to estimate nicotine addiction are needed for everyday clinical use.
Assessing the environmental destruction in forest ecosystems using landscape metrics and spatial analysis
Authors: Mansori M. , Badehian Z. , Ghobadi M. , Maleknia R. 
Published: September 2023

AbstractForest degradation is a serious environmental issue that has significant implications for ecological stability, biodiversity, and human well-being. Identifying the extent and severity of forest degradation is crucial for effective management and conservation of forest ecosystems. The objective of this study was to assess the ecological vulnerability of the forest in the Dadabad region using spatial analysis and landscape metrics. The land cover map of the area was divided into 13 sub-basins to quantify landscape metrics, and the severity of human activities, degradation level, and ecological vulnerability were calculated for each sub-basin. Each sub-basin was evaluated as a single landscape to determine the extent of degradation, and landscape zoning was performed based on the degradation coefficients. The study found that sub-basins 2 and 4 had the highest levels of degradation, while sub-basins 3, 7, 8, 11, and 12 were the least degraded. Over half of the Dadabad region, 37.8% for protection and 32.25% for rehabilitation, was recommended for conservation planning. The research highlights the importance of using spatial analysis of landscape metrics to assist managers and planners in protecting and conserving natural areas.
Combined analysis of 16S rDNA sequencing and metabolomics to find biomarkers of drug-induced liver injury
Authors: He Kaini , Liu Mimi , Wang Qian , Chen Sijie , Guo Xiaoyan 
Published: September 2023

AbstractDrug induced liver injury (DILI) is a kind of liver dysfunction which caused by drugs, and gut microbiota could affect liver injury. However, the relationship between gut microbiota and its metabolites in DILI patients is not clear. The total gut microbiota DNA was extracted from 28 DILI patient and 28 healthy control volunteers (HC) and 16S rDNA gene were amplified. Next, differentially metabolites were screened. Finally, the correlations between the diagnostic strains and differentially metabolites were studied.The richness and uniformity of the bacterial communities decreased in DILI patients, and the structure of gut microbiota changed obviously. Enterococcus and Veillonella which belong to Firmicutes increased in DILI, and Blautia and Ralstonia which belong to Firmicutes, Dialister which belongs to Proteobacteria increased in HC. In addition, these diagnostic OTUs of DILI were associated with the DILI damage mechanism. On the other hands, there were 66 differentially metabolites between DILI and HC samples, and these metabolites were mainly enriched in pyrimidine metabolism and steroid hormone biosynthesis pathways. Furthermore, the collinear network map of the key microbiota-metabolites were constructed and the results indicated that Cortodoxone, Prostaglandin I1, Bioyclo Prostaglandin E2 and Anacardic acid were positively correlated with Blautia and Ralstonia, and negatively correlated with Veillonella.This study analyzed the changes of DILI from the perspective of gut microbiota and metabolites. Key strains and differentially metabolites of DILI were screened and the correlations between them were studied. This study further illustrated the mechanism of DILI.
Mathematical modeling and topological graph description of dominating David derived networks based on edge partitions
Authors: Zaman Shahid , Ahmed Wakeel , Sakeena Atash , Rasool Kavi Bahri , Ashebo Mamo Abebe 
Published: September 2023

AbstractChemical graph theory is a well-established discipline within chemistry that employs discrete mathematics to represent the physical and biological characteristics of chemical substances. In the realm of chemical compounds, graph theory-based topological indices are commonly employed to depict their geometric structure. The main aim of this paper is to investigate the degree-based topological indices of dominating David derived networks (DDDN) and assess their effectiveness. DDDNs are widely used in analyzing the structural and functional characteristics of complex networks in various fields such as biology, social sciences, and computer science. We considered the FN*, $${M}_{2}^{*}$$

M

2

∗

, and $${HM}_{N}$$

HM

N

topological indices for DDDNs. Our computations' findings provide a clear understanding of the topology of networks that have received limited study. These computed indices exhibit a high level of accuracy when applied to the investigation of QSPRs and QSARs, as they demonstrate the strongest correlation with the acentric factor and entropy.
Graphene versus concentrated aqueous electrolytes: the role of the electrochemical double layer in determining the screening length of an electrolyte
Authors: Angizi Shayan , Hong Lea , Huang Xianxuan , Selvaganapathy P. Ravi , Kruse Peter 
Published: September 2023

AbstractUnderstanding the performance of graphene devices in contact with highly concentrated aqueous electrolytes is key to integrating graphene into next-generation devices operating in sea water environments, biosensors, and high-density energy production/storage units. Despite significant efforts toward interpreting the structure of the electrochemical double layer at high concentrations, the interface between graphene-based materials and concentrated aqueous solutions has remained vaguely described. In this study, we demonstrate the use of graphene-based chemiresistors as a technique to indirectly quantify the experimental screening length of concentrated electrolytes that could clarify the interpretation of electrochemical measurements conducted at low ionic strength. We report a breakdown of the Debye–Hückel theory in the proximity of graphene surfaces at lower concentrations (10–50 mM) than previously reported for other systems, depending on cation size, dissolved oxygen concentration, and degree of graphene defectivity.
Disrupting iron homeostasis can potentiate colistin activity and overcome colistin resistance mechanisms in Gram-Negative Bacteria
Authors: Gadar Kavita , de Dios Rubén , Kadeřábková Nikol , Prescott Thomas A. K. , Mavridou Despoina A. I. , McCarthy Ronan R. 
Published: September 2023

AbstractAcinetobacter baumannii is a Gram-negative priority pathogen that can readily overcome antibiotic treatment through a range of intrinsic and acquired resistance mechanisms. Treatment of carbapenem-resistant A. baumannii largely relies on the use of colistin in cases where other treatment options have been exhausted. However, the emergence of resistance against this last-line drug has significantly increased amongst clinical strains. In this study, we identify the phytochemical kaempferol as a potentiator of colistin activity. When administered singularly, kaempferol has no effect on growth but does impact biofilm formation. Nonetheless, co-administration of kaempferol with sub-inhibitory concentrations of colistin exposes bacteria to a metabolic Achilles heel, whereby kaempferol-induced dysregulation of iron homeostasis leads to bacterial killing. We demonstrate that this effect is due to the disruption of Fenton’s reaction, and therefore to a lethal build-up of toxic reactive oxygen species in the cell. Furthermore, we show that this vulnerability can be exploited to overcome both intrinsic and acquired colistin resistance in clinical strains of A. baumannii and E. coli in vitro and in the Galleria mellonella model of infection. Overall, our findings provide a proof-of-principle demonstration that targeting iron homeostasis is a promising strategy for enhancing the efficacy of colistin and overcoming colistin-resistant infections.
An automatic speech analytics program for digital assessment of stress burden and psychosocial health
Authors: Chu Amanda M. Y. , Lam Benson S. Y. , Tsang Jenny T. Y. , Tiwari Agnes , Yuk Helina , Chan Jacky N. L. , So Mike K. P. 
Published: September 2023

AbstractThe stress burden generated from family caregiving makes caregivers particularly prone to developing psychosocial health issues; however, with early diagnosis and intervention, disease progression and long-term disability can be prevented. We developed an automatic speech analytics program (ASAP) for the detection of psychosocial health issues based on clients’ speech. One hundred Cantonese-speaking family caregivers were recruited with the results suggesting that the ASAP can identify family caregivers with low or high stress burden levels with an accuracy rate of 72%. The findings indicate that digital health technology can be used to assist in the psychosocial health assessment. While the conventional method requires rigorous assessments by specialists with multiple rounds of questioning, the ASAP can provide a cost-effective and immediate initial assessment to identify high levels of stress among family caregivers so they can be referred to social workers and healthcare professionals for further assessments and treatments.
Phosphorylation amplified asymmetry of spiro[acridine-9,9′-xanthene] hosts for efficient blue and white thermal activated delay fluorescent diodes
Authors: Zhu Anqi , Li Ying , Man Yi , Pang Yudong , Duan Chunbo , Han Chunmiao , Zhang Jing , Cao Chenhui , Wei Ying , Shui Xinfeng , Xu Hui 
Published: September 2023

“Molecular asymmetry” for spiro host development led to synergy between functional group and asymmetric core in electronic and steric effects, rendering ∼100% photoluminescence quantum yield and top-rank efficiencies of 69.3 lm W−1 and 22.9% from the single-emissive-lay TADF WOLEDs.
Surgical Treatment of Upper Cervical Spine Trauma: Experience in a Regional Neurosurgery Unit in a Country with Limited Health Care Resources—About 22 Consecutives Cases
Authors: Faye Mohameth , Barry Louncény Fatoumata , Ilunga Roger Mulumba , Nacoulma Vital , Sy El Hadji Cheikh Ndiaye , Diop Abdoulaye , Donyo Téteh Yav-Edem Aristide , Atakla Hugues Ghislain , Cisse Yakhya , Wague Daouda , Koumare Izoudine Blaise , Gaye Magatte 
Published: September 2023

Abstract
Objectives Representing approximately 22% of cervical spine injuries, upper cervical spine injuries are becoming more frequent with the increase in road traffic accidents. The purpose of our study is to evaluate the results of our surgical series and to compare them with the literature.
Materials and Methods In this monocentric retrospective study of over three years (June 2019–May 2022), all the patients with traumatic injuries of the upper cervical spine with a surgical treatment and a minimum of 12 months follow-up were included.
Results The average age was 32.7 years, with a predominance of young patients. The predominant cause of injury was road traffic accident (86.3%). The clinical symptoms were cervical pain, associated with a motor deficit in two cases. Jefferson fracture associated with odontoid fracture was the most frequent injury (36.3%), followed by Hangman fracture (22.7%). Ten patients were treated with the Harms technique, four with occipitocervical C0-C2-C3 fixation, two with anterior screw insertion of the odontoid, and six with anterior C2-C3 arthrodesis. The average duration of follow-up was 12.2 months. The outcome was favorable in 21 cases and average in 1 case. Surgical morbidity and mortality were inexistent.
Conclusion This short series shows the effectiveness of surgical treatment in the managing traumatic injuries of the upper cervical spine and in the regression of the pain with a low risk of surgical morbidity and mortality.