Mental illness-related stigma and its associated factors among primary health care professionals in rural China by Yi-Yue Yang, Yi-Yue Yang, Cong Wang, Cong Wang, Jia Cai, Jia Cai, Yun-Fei Mu, Yun-Fei Mu, Lie Zhou, Lie Zhou, Yi-Zhou Wang, Tian-Ming Zhang, Xin-Yi Zhao, Ming Li, Wei Luo, Jian-Jun Luo, Yin-Ling IreneWong, Lawrence H. Yang, Siu-Man Ng, Mao-Sheng Ran, Mao-Sheng Ran

“…PHCPs with mental illness-related stigma had significantly lower mean scores of the Mental Health Knowledge Schedule (MAKS), the Reported and Intended Behavior Scale (RIBS), the 5-item Contact Scale (CQTS), and the 5-item Contact Quality Scale (CQLS) (p=0.001, p<0.001, P=0.041, P<0.001), and higher mean scores of the Social Distance Scale (SDS) (p<0.001) than those without mental illness-related stigma. Binary logistic regression analysis showed that PHCPs’ work experience (β=0.080, 95%CI=1.002~1.170, p=0.044) and scores of SDS (β=0.169, 95%CI=1.056~1.328, p=0.004) had significantly positive impact on the mental illness-related stigma, and the scores of MAKS (β=-0.082, 95%CI=0.850~0.998, p=0.045) and RIBS (β=-0.131, 95%CI=0.783~0.983, p=0.024) had significantly negative impact on the mental illness-related stigma.ConclusionsThe PHCPs have severe mental illness-related stigma in rural China, and the associated factors include work experience, mental health knowledge, behavioral discrimination, and social distance towards people with mental illness. …”
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Intra-abdominal sepsis in critically ill surgical patients: the relationship between cumulative fluid balance and serum sodium and chloride levels and in-hospital mortality by Radmila Popović, Radmila Popović, Nada Anđelić, Gordana Jovanović, Gordana Jovanović, Sanja Maričić Prijić, Sanja Maričić Prijić, Arsen Uvelin, Arsen Uvelin, Nataša Tomić, Nataša Tomić, Aleksandra Plećaš Ðurić, Aleksandra Plećaš Ðurić, Nemanja Todorović, Boris Milijašević, Dejan Marković, Dejan Marković

“…The cumulative fluid balance on the third and seventh days of ICU hospitalization was found to be positively correlated with mortality. Statistical analyses revealed significant differences in fluid balance at these time points in relation to mortality (p < 0.0005). …”
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The association between personality traits and Facebook addiction among adolescent students in a lower middle-income country, Nepal by Prabina Subedi, Surya Bahadur G. C., Santosh Kumar Gurung, Resam Lal Poudel, Sunita Sharma, Bharat Ram Dhungana

“…Therefore, schools should devise and implement personality development programmes aimed at reducing vulnerability of adolescent students to Facebook addiction and promoting positive social media usage.…”
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Artificial Intelligence in Education: Next-Gen Teacher Perspectives by Nicoleta Sămărescu, Robert Bumbac, Alin Zamfiroiu, Maria-Cristina Iorgulescu

“…Through exploratory quantitative research, carried out on a sample of 270 students from the Faculty of Education, Social Sciences and Psychology, the interaction of subjects with AI and the intention of integrating AIEd are followed using binary logistic regression. The analysis conducted shows that among the six variables of the model, “the confidence in personal ability to use AI” and “the perception of a greater number of advantages” have a positive and significant impact on the willingness to use AI in the educational process, more than “being previously used”, “the knowledge level” or “student requirements”. …”
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Impact of Technological Innovation on Global Crop Export Trade: The Example of Innovation in GM Technology by Sen Sen Jin, Zhong Yi Sun, Feng Deng, Cao Zheng Yan, Rui Na Zhu

“…The study analyzed the binary marginal data of genetically modified (GM) soybean technological innovation and export in 41 countries worldwide from 2002 to 2012. …”
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Assessment of Margin Status in Feline Mastectomy: Predictive Factors and Agreement Between Intraoperative Cytology and Histopathology by João Martins, Rute Penim, José Dos-Santos, Joana Fonseca, Pedro Faísca, Liege Martins, Nuno Leal, José Catarino, Patrícia C. Cabral, Sónia Campos

“…There was no significant difference in positive margins between the three methods (p=0.174). …”
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Classification of Moral Decision Making in Autonomous Driving: Efficacy of Boosting Procedures by Amandeep Singh, Yovela Murzello, Sushil Pokhrel, Siby Samuel

“…Confusion matrix analysis revealed AdaBoost’s ability to achieve high true positive rates (up to 96%) while effectively managing false positives and negatives, even under 1 s time constraints. …”
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Evaluating InferVision's Computer-Aided Detection (CAD) algorithm for Tuberculosis (TB) screening, Lusaka, Zambia. by Paul Somwe, Minyoi Maimbolwa, Kanema Chiyenu, Mwansa Lumpa, Mary Kagujje, Monde Muyoyeta

“…From the study sample, 449 participants (23.8%) reported a history of previous TB, and 704 (37.2%) were HIV positive. Among the analyzed images, 289 (15.3%) were classified as TB positive based on the composite reference standard test results. …”
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Comparing indigenous and scientific (Palin test) soil fertility assessment approaches for better soil health monitoring, management, and farm decision-making in Uganda by Sarah Elaete, John Ilukor, Rosemary Emegu Isoto, Alex Moruleng, Henry Nakelet Opolot

“…The extent of soil fertility misclassification and its correlates were also assessed from a sample of 461 input subsidy project beneficiaries in Uganda using descriptive statistics, a binary probit model, and a multivariate probit model. …”
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Key drivers behind contract farming engagement decisions in Tanzania: empowering sorghum farmers by Thedy Gerald Kimbi, Stefan Sieber, Essegbemon Akpo, Christopher Magomba, Fulgence Mishili

“…Cross-sectional data from 400 sorghum farmers in the three districts of Kongwa, Mpwapwa and Chamwino in Tanzania were used. A binary logit model was employed to analyze the driving factors that influence CF engagement. …”
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From Classroom to Workplace: The Combined Effects of Cognitive and Non-Cognitive Skills on Youth Labor Market Outcomes in Kenya by Carol Bisieri Onsomu, John Njenga Macharia, Stephie Muthoni Mwangi

“…Additionally, factors such as marital status and higher education levels positively influence employability. These results underscore the equal importance of personality traits and cognitive abilities in labor market success. …”
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Factors Shaping the Adoption of Artificial Intelligence Tools by Higher Education Students in Tanzania by Dickson Utonga, John K. Gwanyemba, Jacob J. Kilamlya

“…The study involved 142 students from diverse higher learning institutions and employed a binary probit regression framework to analyse these factors. …”
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A correlation study between blood glucose fluctuation and chronic pain in the older people with type 2 diabetes mellitus by Qinyi Huang, Mengjie Cui, Yangliu Yin, Cancan Hui, Yuwei Cheng, Shuqian Wang, Xiujuan Hu, Xiaorong Yin, Xiaoxiang Zhang, Xinyu Sun, Tiantian Tang, Lang Lang, Yan Sun

“…Comparing general clinical information and relevant data recorded by CGMS between the two groups. Binary logistic regression was used to identify factors influencing the severity of chronic pain in old patients with T2DM combined with chronic pain. …”
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Poor sleep is associated with lower physical activity in a population-based cohort of middle-aged and older adults by Susanna C. Larsson, Emma Hållström, Karl Michaëlsson, Olga E. Titova

“…In addition to previous evidence of a positive effect of PA on sleep, our findings indicate that poor sleep may contribute to lower engagement in PA and a higher level of sedentary behavior, highlighting the bidirectional nature of the relationship between PA and sleep.…”
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The contribution of Socio-Economic factors to adoption of inorganic fertilizers among maize farmers in Western Uganda by Dick Chune Midamba, John Atsu Agbolosoo, Fredrick Ochieng Ouya, Mary Kwesiga

“…The study employed descriptive statistics and Binary logistic model for data analysis. Results revealed that a mere 32% of farmers incorporated inorganic fertilizers in their agricultural practices. …”
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A SVM Approach of Aircraft Conflict Detection in Free Flight by Xu-rui Jiang, Xiang-xi Wen, Ming-gong Wu, Ze-kun Wang, Xi Qiu

“…In this article, aircraft conflict detection is considered as a binary classification problem; therefore, it can be solved by a pattern recognition method. …”
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Influences of Extrusion and Silver Content on the Degradation of Mg-Ag Alloys In Vitro and In Vivo by Guanqi Liu, Jianmin Han, Xiaodong Yu, Shenpo Yuan, Zhihua Nie, Tiancheng Qiu, Ziyu Yan, Chengwen Tan, Chuanbin Guo

“…Binary magnesium-silver (Mg-Ag) alloys were designed as antibacterial materials for biomedical implant applications. …”
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Research on Wearable Devices for Pedestrian Navigation Based on the Informer Model Zero-Velocity Update Architecture by Shuai Zhang, Haotian Gao, Fushengong Yang

“…When natural disasters such as earthquakes occur, accurate navigation and positioning information may not be available, making a purely inertial pedestrian navigation system particularly important for rescuers. …”
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Axial-UNet++ Power Line Detection Network Based on Gated Axial Attention Mechanism by Ding Hu, Zihao Zheng, Yafei Liu, Chengkang Liu, Xiaoguo Zhang

“…Secondly, to address the imbalance in training samples, a new loss function is developed by combining traditional binary cross-entropy loss with focal loss, enhancing the precision of image semantic segmentation. …”
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Budgetary Management and Control of Finance and Economic Cooperation Organization in Mettu Woreda of Ilu Ababor Zone: An Assessment by S.N. Singh

“…The dependent variable effective & efficient budget management & control which was measured under Binary logistic regression. According to the logistic regression output, proper plan & budget preparation, budget execution, competent internal audit staff & budget monitoring and evaluation were contributed for the budget management & control in the Finance & Economic Cooperation significantly and positively. …”
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