How do GPs and patients share the responsibility for cancer safety netting follow-up actions? A qualitative interview study of GPs and patients in Oxfordshire, UK by Clare Bankhead, Sue Ziebland, Daniel Jones, Brian D Nicholson, Charlotte Albury, Julie Evans, John I Macartney

“…Conceptualisations of ‘responsibility’ were explored by drawing on a transactional to interdependent continuum drawing from the shared decision-making literature.Settings and participants A purposive sample of 25 qualified GPs and 23 adult patients in Oxfordshire, UK.Results The transactional sharing approach involves responsibility being passed from GP to patient. …”
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Dynamic switching between brain networks predicts creative ability by Qunlin Chen, Yoed N. Kenett, Zaixu Cui, Hikaru Takeuchi, Andreas Fink, Mathias Benedek, Daniel C. Zeitlen, Kaixiang Zhuang, James Lloyd-Cox, Ryuta Kawashima, Jiang Qiu, Roger E. Beaty

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A machine learning based algorithm accurately stages liver disease by quantification of arteries by Zhengxin Li, Xin Sun, Zhimin Zhao, Qiang Yang, Yayun Ren, Xiao Teng, Dean C. S. Tai, Ian R. Wanless, Jörn M. Schattenberg, Chenghai Liu

“…AD was counted using qVessel (previously trained on manually labeled vessels by stained slides (CD34/a-SMA/CK19) and developed by a decision tree algorithm). As liver fibrosis progressed from F1 to F4, we observed that both AD and CPA gradually increases among the three etiologies (P < 0.05). …”
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Machine learning and explainable artificial intelligence to predict and interpret lead toxicity in pregnant women and unborn baby by Priyanka Chaurasia, Pratheepan Yogarajah, Abbas Ali Mahdi, Sally McClean, Mohammad Kaleem Ahmad, Tabrez Jafar, Sanjay Kumar Singh

“…However, for such predictive models to gain broader acceptance, especially in clinical and public health settings, transparency and interpretability are essential.MethodsUnderstanding the reasoning behind the predictions of the model is crucial to building trust and facilitating informed decision-making. In this study, we present the first application of an explainable artificial intelligence (XAI) framework to interpret predictions made by our ML-based lead exposure model.ResultsUsing a dataset of 200 blood samples and 12 sociodemographic features, a Random Forest classifier was trained, achieving an accuracy of 84.52%.DiscussionWe applied two widely used XAI methods, SHAP (SHapley additive explanations) and LIME (Local Interpretable Model-Agnostic Explanations), to provide insight into how each input feature contributed to the model’s predictions.…”
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Assessing the need for general anesthesia versus inhalational sedation using modified mohan scale in pediatric dental patients by Sriram Swetha, Bagmar R. Mehul, Jayakumar Priya

“…The scale's application may support clinical decision-making and treatment planning. Future research with a larger sample size is recommended to validate its application for broader use.…”
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Behavioral Innovations to Access Abortion Post-Dobbs: A Qualitative Thematic Analysis of Reddit’s r/abortion Community in 2022 by Eliza Dolgins BA, Lindsay Parham PhD, JD, Karen Weidert MPH, Emma Anderson MPH, Coye Cheshire PhD, MA, Ndola Prata MD, MSc, Elizabeth Pleasants DrPH, MPH

“…Following the leak of the Dobbs decision in 2022, abortion access in the United States has faced heightened barriers, including legal restrictions, financial constraints, and logistical challenges. …”
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Sustainability communication in marketing: a literature review by Luiza Dazzi Braga, Matheus Grage Tardin, Marcelo Gattermann Perin, Patricia Boaventura

“…Design/methodology/approach – This study relies on a sample of 103 articles published in high-ranked marketing journals. …”
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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…The present study investigates 34 demographic, behavioral, and hematological risk factors based on a sample of 2,000 patient data records. A multi-model machine learning approach compares nine algorithms: KNN, AdaBoost (AB), logistic regression (LR), random forest (RF), SVM, naive Bayes (NB), decision tree (DT), gradient boosting (GB), and stochastic gradient descent (SGD). …”
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Considerations for informing precision psychiatry in eating disorders: Foundations for future practice by Nicole Obeid, Niana Lavallée, Abigail H. M. Bradley, Mark L. Norris

“…This trend may be shaped by the chronic underfunding of the field, reliance on small sampled cross-sectional studies, and the notable lack of research focused on youth with EDs from historically underrepresented communities. …”
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The Effectiveness of Geographic Information Systems in Sustainable Urban Planning in Iraq: An Analytical Study of Experts’ Opinions by Nawshirwan Mahmood Rahim

“…The study aims to gather and analyze the opinions of specialists and experts in urban planning, environmental management, and GIS across various cities in Iraq. A sample of 100 experts from Baghdad, Basra, Erbil, Mosul, and Najaf was selected based on their experience and competence in projects utilizing GIS. …”
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Environmental Assessment Using Phytoplankton Diversity, Nutrients, Chlorophyll-a, and Trophic Status Along Southern Coast of Jeddah, Red Sea by Bandar A. Al-Mur

“…The objective of this study is to better identify the state of eutrophication of coastal waters along the southern coast of the city of Jeddah in the Red Sea. Thirty-six samples from surface seawater were collected during the spring and autumn of 2021. …”
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Barriers and facilitators to antidepressant deprescribing – A qualitative interview study with general practitioners in Germany by Jochen Vukas, Vita Brisnik, Linda Sanftenberg, Peter Henningsen, Jochen Gensichen, Tobias Dreischulte

“…Addressing time constraints, enhancing interdisciplinary collaboration, and integrating decision-support tools into clinical practice could facilitate deprescribing. …”
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The impact of nutritional status on centenarians’ physical, mental, and functional health by Ivan David Lozada-Martinez, Laura Vindas-Meza, Sandra Castelblanco-Toro, Juan Carlos Salazar-Uribe, Juan-Manuel Anaya

“…These findings are relevant for decision-making in general and specialized healthcare and for public health policymakers to build evidence-based strategies to promote healthy aging.…”
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A nomogram model for predicting risk factors and the outcome of skin ulcer by Honglin Jia, Yang Tan, Hong Li, Xiaoqing Bu, Lingfei Li, Xia Lei

“…This nomogram model was validated by bootstrap internal validation (1000 replicated samplings).Results Logistic regression analysis showed that age, skin ulcer area, pre-admission course, etiology, comorbidity of diabetes, medical treatment, and self-medication were independently related to skin ulcer prognosis. …”
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Assessment of Physical Suitability of Soils for Vegetable Production in the Libga Irrigation Scheme, Northern Region, Ghana Using the Analytic Hierarchy Process and Weighted Overla... by Yakubu Saaka Zakaria, Abdul-Ganiyu Shaibu, Bernard N Baatuuwie

“…Knowledge gained from soil suitability analysis provides the sound basis for making informed decisions about soil management and crop selection in a given area. …”
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Explainable ML modeling of saltwater intrusion control with underground barriers in coastal sloping aquifers by Asaad M. Armanuos, Martina Zeleňáková, Mohamed Kamel Elshaarawy

“…This study highlights the potential of interpretable, optimized ML models to enhance SWI prediction and support informed decision-making in coastal aquifer management.…”
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Predicting the risk of bone metastases in patients with newly diagnosed prostate cancer - Development and validation of a nomogram model. by Wei Xu, Guoyu Zhu, Xiaoxiang Wang, Xuebing Yan, Fujun Wang, Shanyi Li, Wenji Li

“…Chi-square test, independent sample t-test, and logistic regression were used to screen key risk factors. …”
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Calibration of the Composition of Low-Alloy Steels by the Interval Partial Least Squares Using Low-Resolution Emission Spectra with Baseline Correction by M. V. Belkov, K. Y. Catsalap, M. A. Khodasevich, D. A. Korolko, A. V. Aseev

“…Laser induced breakdown spectroscopy can be applied for its decision. The disadvantage of single- and multivariate modeling the elemental composition of steels is the semi-quantitative accuracy of the models. …”
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IMPLEMENTATION OF THE CASE STUDY METHOD IN DISTANCE LEARNING OF ENTREPRENEURSHIP FUNDAMENTALS by O. R. Chepyuk, A. I. Gorylev

“…Various types of cases are shown based on specific examples: illustrating processes and concepts; imitating sample processes; describing original situations in real business and having decisions which are already realized in practice; cases with an uncertain answer to the asked problematic issue. …”
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A Multi-Source Transfer Joint Matching Method for Inter-Subject Motor Imagery Decoding by Fulin Wei, Xueyuan Xu, Tianyuan Jia, Daoqiang Zhang, Xia Wu

“…However, most MSTL methods in MI-BCI combine all data in the source subjects into a single mixed domain, which will ignore the effect of important samples and the large differences in multiple source subjects. …”
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