Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network. by Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A Jaramillo, Jennifer S Potter, Mary Jo Pugh

“…To improve the efficiency of the learning process, we use an extension of maximum weight spanning tree algorithm and greedy search algorithm to study the structure of the proposed network in three stages, starting with learning the inter-relationship of comorbidities within each year, followed by learning the intra-relationship of comorbidity emergence between consecutive years, and finally learning the hierarchical relationship of comorbidities and patient level risk factors. …”
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Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling by Geoffrey Olweny, Moses Levi Ntayi, Edward Kyalo, Alex Kayongo

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Forecasting Use of Critical Rear-Earth Metals and Lithium During Energy Transformation by V. E. Shunkov, P. I. Sevostyanov

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Associative stigma among mental health professionals in Singapore: a cross-sectional study by Janhavi Ajit Vaingankar, Louisa Picco, Boon Yiang Chua, Samantha Ong, Kah Lai Yow, Hong Choon Chua

“…Objectives (1) Investigate and explore whether different classes of associative stigma (the process by which a person experiences stigmatisation as a result of an association with another stigmatised person) could be identified using latent class analysis; (2) determine the sociodemographic and employment-related correlates of associative stigma and (3) examine the relationship between associative stigma and job satisfaction, among mental health professionals.Design Cross-sectional online survey.Participants Doctors, nurses and allied health staff, working in Singapore.Methods Staff (n=462) completed an online survey, which comprised 11 associative stigma items and also captured sociodemographic and job satisfaction-related information. …”
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Deep learning-based automatic differentiation of acute angle closure with or without zonulopathy using ultrasound biomicroscopy: a comparison of diagnostic performance with ophthal... by Haotian Lin, Jing Huang, Lu Cheng, Jingjing Huang, Hailiu Chen, Yunlan Ling, Shufen Lin, Jiaming Hong, Shaopeng Liu, Ethan Wu, Yangyunhui Li

“…UBM image analysis achieved a mean accuracy and processing time of 64.17% and 20.13 s, respectively, per image. …”
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An Ensemble-Based Approach for Detecting Clickbait in Indonesian Online Media by Sandy Kurniawan, Adhe Setya Pramayoga, Yeva Fadhilah Ashari

“…Three base classifiers, Multinomial Naive Bayes, Logistic Regression, and Support Vector Machine, were integrated using soft voting and stacking ensemble methods. …”
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Allostatic load and chronic pain: a prospective finding from the national survey of midlife development in the United States, 2004–2014 by Yunlong Liang, Cara Booker

“…Multinomial logistic regression models were used to examine the prospective association between phenotypes of AL at MIDUS 2 biomarker project and the presence of CP, CP interference and the number of CP sites at MIDUS 3. …”
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Profiles of Approaches to Writing and Their Links to Self-Efficacy and LLM Acceptance in L2 Academic Writing by Fei Sun, Laura Mendoza, Junju Wang, Hongbin Li

“…Latent profile analysis revealed three distinct writing profiles: unorganized (Profile 1), dissonant (Profile 2), and deep and organized (Profile 3), with the majority of students categorized under the dissonant profile. …”
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Association Between Habitual Dietary Intake and Urinary Metabolites in Adults—Results of a Population-Based Study by Annika Blümlhuber, Dennis Freuer, Nina Wawro, Florian Rohm, Christine Meisinger, Jakob Linseisen

“…We identified sucrose and taurine as key metabolites differentiating metabolite clusters. Multinomial regression analysis confirmed significantly different dietary associations across clusters, particularly for fruits, processed meat, poultry, and alcoholic beverages. …”
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Cognitive impairment and depressive symptoms: effects on functional disability, falls, hospitalization, and polypharmacy in a longitudinal follow-up by Milla Bitencourt Cabral, Nathalia de Oliveira Andrade, Allan Gustavo Bregola, Marcelo Kwiatkoski, Tatiana Carvalho Reis Martins, Bruna Moretti Luchesi

“…Participants with the two associated conditions were at higher risk of dependence on using the telephone (OR=2.701), travelling (OR=2.177), shopping (OR=2.890), administering medications (OR=4.773), and managing finances (OR=3.799). Conclusion: Cognitive impairment was associated with dependence in three activities after two years. …”
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Sick leave and return to work for patients with anxiety and depression: a longitudinal study of trajectories before, during and after work-focused treatment by Kenneth Sandin, Frederick Anyan, Kåre Osnes, Ragne Gunnarsdatter Hole Gjengedal, Jonas Sigurd Risberg Leversen, Silje Endresen Reme, Odin Hjemdal

“…A latent growth mixture model identified trajectories. Multinomial logistic regression determined differences in background characteristics while a one-way analysis of variance (ANOVA) identified clinical differences.Results We identified three trajectories: The ‘Resilient’ group (47.7%) had low sick leave throughout the period. …”
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Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

“…The collected data are typically annotated manually, a process that is both labor-intensive and time-consuming, to support acoustic target classification (ATC). …”
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Cognitive impairment across the schizophrenia spectrum: a comparative neuropsychological study by Xiao-Yan He, An-Pei Wei, Zhuo-Hui Huang, Fei Wang, Li Li Guo, Cai-Lan Hou

“…CHR exhibited intermediate impairment: - Outperformed FEP in processing speed (TMT-A: d=0.45, p=0.009, DST: d=065, p=0.001), attention (CPT: d=0.42, p=0.03), and executive function (Stroop words color: d=0.39, p=0.03). - Underperformed FDR across all domains except visual memory (BVMT-R: d=0.16, p=0.92).3. …”
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Roads as Channels of Centrifugal Policy Transfer: A Spatial Interaction Model Revised by Katarzyna Kopczewska

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Exploring the role of autistic traits in treatment-resistant and clozapine-resistant schizophrenia: a comparative study by Ahmet Selim Başaran, Nur Nihal Türkel, Buket Koparal, Aslı Kuruoğlu

“…This study aims to explore the relationship between autistic traits and treatment resistance in schizophrenia, with a focus on both TRS and CRS and to evaluate whether these traits could predict treatment outcomes.MethodsA total of 86 patients were included, divided into three groups: non-treatment-resistant schizophrenia (NRS, n=37), treatment-resistant schizophrenia (TRS, n=26), and clozapine-resistant schizophrenia (CRS, n=23). …”
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Factors Affecting Corporate’s Coping Strategy Choice During The Covid-19 Outbreak: Case of Indonesia by Suhita Whini Setyahuni, Agus Triyani

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Parenting Stress and Its Influencing Factors Among Chinese Parents in Parent–Grandparent Co-Parenting Families: A Latent Profile Analysis by Tongyao Wang, Hongyan Cheng

“…Guided by family systems theory and the parenting process model, this study aimed to identify distinct profiles of parenting stress and examine their associations with parental characteristics, social–contextual factors, and child factors. …”
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Disagreement on estimating cause of death under tuberculosis treatment between the national tuberculosis registry and statistics data in South Korea, 2011–2020 by Chiwook Chung, Seung Won Lee, Dawoon Jeong, Hongjo Choi, Hojoon Sohn, Doosoo Jeon, Young Ae Kang

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Migrant workers and labor market recovery during the COVID-19 pandemic in Indonesia by Muhammad Salahudin Al Ayyubi, Devanto Shasta Pratomo, Ferry Prasetyia, Susilo

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Determinants of ex post household coping strategies in the face of health shocks in Burkina Faso: evidence from household surveys by Guiro Jeudi Topan, Noël Thiombiano

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