Socioeconomic and behavioural factors that contribute to the co-occurrence of risk factors for noncommunicable diseases by Naftal Sakaria, Nelago Indongo

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Development and application of reverse transcriptase droplet digital PCR technology for sensitive detection of BVDV-1 and BTV in bovine semen by Zhichao Yu, Linjun Chen, Qiang Cui, Han Yan, Junyan Li, Xiaoping Luo, Yingying Li, Xianghong Ju, Yanhong Yong, Namula Zhao, Zhiguo Zhao

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Participatory epidemiological approaches for risk assessment of bed bug (Insecta: Hemiptera: Cimicidae) infestation in public hospitals in the city of Faisalabad, Punjab, Pakistan by Arzoo Ashraf, Muhammad Sohail Sajid, Hafiz Muhammad Rizwan, Kashif Hussain, Muhammad Asif Mahmood, Muhammad Imran Arshad, Zain ul Abdin, Shumaila Ashraf, Malcolm K. Jones, Dalia Fouad, Farid S. Ataya

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Development of specialist palliative care in Dutch hospitals between 2014 and 2020: a repeated survey by N. van Velzen, L. Brom, M. J. D. L van der Vorst, M. L. Kiers, M. F. M. Wagemans, H. Kazimier, M. S. A. Boddaert, N. J. H. Raijmakers, A. Stoppelenburg

“…Key members of the hospital SPCTs completed questionnaires about the preceding year that included items on hospital and PC program characteristics, hospital-wide integration of specialist PC, and SPCT characteristics (92 hospitals in 2015, 79 in 2018 and 74 in 2021). …”
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Prevalence of undernutrition and associated factors among adolescent pregnant women in Dolo-Ado town, Somali region, Ethiopia by Abdirahman Ahmed, Abdulkarim Mohammed, Mahamed Dol Ateye, Saleha Abdusamed

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Development of a short version of the perceived social support scale: based on classical test theory and ant colony optimization by Yunchou Wu, Jingqi Tang, Zhuoran Du, Ke Chen, Fei Wang, Xiaonan Sun, Guoying Zhang, Yibo Wu

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Association of alcohol abstinence with risk of hyperuricemia in rural Chinese adults: the Henan Rural Cohort Study by Xiaokang Dong, Lulu Zhang, Ning Kang, Huanxiang Zhang, Wei Liao, Xiaotian Liu, Pengling Liu, Lei Yin, Chongjian Wang

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Enhancing furcation involvement classification on panoramic radiographs with vision transformers by Xuan Zhang, Enting Guo, Xu Liu, Hong Zhao, Jie Yang, Wen Li, Wenlei Wu, Weibin Sun

“…Results Among the evaluated models, the ViT model outperformed all others, achieving the highest precision (0.98), recall (0.92), and F1 score (0.95), along with the lowest cross-entropy loss (0.27) and the highest accuracy (92%). …”
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Entrepreneurial Climate in India, China and the USA by Mahalakshmi S, Thiyagarajan S, Ranbir Sodhi, Naresh G

“…Further, confirmatory factor analysis was attempted to cross-validate the results. Key Points: • The results unveil that the Public conditions and Business Promotions (EFC) in the USA are superior to India and China. …”
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Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement lo... by Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi

“…Model performance was evaluated via analyses including the area under the ROC curve (AUC), precision, recall, F1 score, and SHAP plots for interpretability. …”
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Determinants of family planning services uptake among women within the reproductive age in the Yendi municipality in Northern Ghana by Iddrisu Sulemana, Collins Gbeti, Maxwell Dalaba, Adadow Yidana, Gifty Apiung Aninanya

“…The child welfare clinic (CWC) served as the point for the sampling of study respondents. …”
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Pathological and radiological assessment of benign breast lesions with BIRADS IVc/V subtypes. should we repeat the biopsy? by Wesam Rjoop, Anwar Rjoop, Alia Almohtaseb, Lama Bataineh, Zeina Nser Joubi, Maha Gharaibeh, Abdalrahman Al-Qwabah, Yousef Alasheh, Ismail Matalka

“…Abstract Background Timely diagnosis is a crucial factor in decreasing the death rate of patients with breast cancer. BI-RADS categories IVc and V indicate a strong suspicion of cancer. …”
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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

“…Models were evaluated by AUC, accuracy, precision, recall, F1 score, and Brier score, with the SHapley Additive exPlanations (SHAP) enhancing explainability. …”
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Process evaluation of Project Daire: a food environment intervention that impacted food knowledge, wellbeing and dietary habits of primary school children by Naomi Anderson, Sarah F. Brennan, Fiona Lavelle, Sarah E. Moore, Dilara Olgacher, Amy Junkin, Moira Dean, Michelle C. McKinley, Patrick McCole, Ruth F. Hunter, Laura Dunne, Niamh E. O’Connell, Chris T. Elliott, Danielle McCarthy, Jayne V. Woodside

“…Methods The Medical Research Council’s (MRC) framework for process evaluation was followed. …”
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Evaluating the differences in healthy lifestyle behaviors between Chinese urban and rural residency after the termination of social distancing: analysis based on propensity score m... by Yudong Miao, Dongfang Zhu, Zhanlei Shen, Yi Li, Wanliang Zhang, Junwen Bai, Ruizhe Ren, Jingbao Zhang, Dan Guo, Clifford Silver Tarimo, Wenyong Dong, Rongmei Liu, Qiuping Zhao, Xue Zhou, Jianping Hu

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Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis by Wensong Shi, Yuzhui Hu, Guotao Chang, He Qian, Yulun Yang, Yinsen Song, Zhengpan Wei, Liang Gao, Hang Yi, Sikai Wu, Kun Wang, Huandong Huo, Shuaibo Wang, Yousheng Mao, Siyuan Ai, Liang Zhao, Xiangnan Li, Huiyu Zheng

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Knowledge and attitude of nosocomial infection prevention and control precautions among healthcare personnel at Kiruddu Referral Hospital in Kampala, Uganda by Newton Ekakoro, Ritah Nakayinga, Martha A. Kaddumukasa, Maria Mbatudde

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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

“…Additionally, six machine-learning algorithms and five cross-validation techniques were employed to identify key features and construct the evaluation model. …”
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Compliance with maternal HIV retesting for pregnant women attending care in selected health facilities in Namutumba district, Uganda by Shafik Malende, Edward Buzigi, Esther Bayiga

“…HIV retesting prevalence was 85%. Key factors associated with retesting included secondary education [APR 1.55, 95% CI (1.03-2.34)], tertiary education [APR 1.72, 95% CI (1.10-2.61)], attending at least five ANC visits [APR 1.11, 95% CI (1.01-1.21)], and spousal accompaniment for ANC or delivery [APR 1.18 (1.05-1.34)]. …”
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Why should we strive to let them thrive? Exploring the links between homecare professionals thriving at work, employee ambidexterity, and innovative behavior by Terje Slåtten, Barbara Rebecca Mutonyi, Gudbrand Lien

“…Thus, the study contributes to a relatively neglected area, homecare, within the domain of health services research. Methods In this cross-sectional study, N = 258 Norwegian homecare professionals in nine municipalities were selected through convenience sampling. …”
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