From Narratives to Diagnosis: A Machine Learning Framework for Classifying Sleep Disorders in Aging Populations: The <i>sleepCare</i> Platform by Christos A. Frantzidis

“…First, a baseline model used a Multinomial Naïve Bayes classifier with n-gram features from a Bag-of-Words representation. …”
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Cyberbullying detection of resource constrained language from social media using transformer-based approach by Syed Sihab-Us-Sakib, Md. Rashadur Rahman, Md. Shafiul Alam Forhad, Md. Atiq Aziz

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Roads as Channels of Centrifugal Policy Transfer: A Spatial Interaction Model Revised by Katarzyna Kopczewska

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Feeling the World Differently: Sensory and Emotional Profiles in Preschool Neurodevelopmental Disorders by Federica Gigliotti, Maria Eugenia Martelli, Federica Giovannone, Carla Sogos

“…Results: Three sensory profiles emerged: (1) Multisystemic Sensory Dysfunction (20.1%), characterized by pervasive sensory and emotional difficulties, primarily observed in ASD; (2) Typical Sensory Processing (44.9%), showing normative sensory and emotional functioning, predominantly LD; and (3) Mixed Subclinical Sensory Processing (35%), with subclinical-range scores across multiple sensory and emotional domains, spanning all diagnoses. …”
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LymphSens study: the enigma of subjective lymphoedema – how often and why do patients report lymphoedema after breast cancer treatment without an objective measurable swelling? The... by An De Groef, Nele Devoogdt, Ann Smeets, Mira Meeus, Vaughan Keeley, Sarah Thomis, Steffen Fieuws, Karin Johansson, Nieke Vets, Kaat Verbeelen, Ceren Gursen, Laura Spincemaille, Hans Vanderheyden, Nick Gebruers, Wiebren Tjalma

“…The primary objective (aim 1) is to determine the prevalence rate of subjective and objective BCRL at 1, 6 and 12 month(s) postsurgery, as well as transitions between BCRL states (no-subjective-objective BCRL) by a multinomial logistic regression model with generalised estimating equations and transition matrices, respectively. …”
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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 soft drink consumption and cardiovascular disease risk among Brazilian adults: a cross-sectional study by Karla Cordeiro Gonçalves, Luís Antônio Batista Tonaco, Guilherme Augusto Veloso, Alexandra Dias Moreira, Mariana Santos Felisbino-Mendes, Deborah Carvalho Malta, Gustavo Velasquez-Melendez

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Effect of delay interval and cue focality on prospective memory by Zongbin Sun, Yu Tian, Tongxuan Dang, Qing Yang, Yunfei Guo, Yongxin Li

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Enhancing User Satisfaction in Indonesia’s e-wallet Market: A Comprehensive Analysis of Factors and Priorities by Rahmat Nurcahyo, Anton Satria Prabuwono, Akmal Fatah Fainusa, Nurhadi Wibowo, Muhammad Habiburrahman, Khairi Hindriyandhito

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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

“…The manually calculated multinomial logistic regression model achieved a macro-AUC of 0.9373, requiring 1200.00 s per analysis. …”
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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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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

“…Latent class analysis was used to classify associative stigma on patterns of observed categorical variables. Multinomial logistic regression was used to examine associations between sociodemographic and employment-related factors and the different classes, while multiple linear regression analyses were used to examine the relationship between associative stigma and job satisfaction.Results The latent class analysis revealed that items formed a three-class model where the classes were classified as ‘no/low associative stigma’, ‘moderate associative stigma’ and ‘high associative stigma’. 48.7%, 40.5% and 10.8% of the population comprised no/low, moderate and high associative stigma classes, respectively. …”
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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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Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

“…The proposed model is trained with three sampling methods: random sampling, which ignores class imbalance present in the acoustic survey data; class-balanced sampling, which ensures equal representation of known categories; and intensity-based sampling, which selects data to capture backscatter variations. …”
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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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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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SENTIMENT ANALYSIS OF PRE-SERVICE MATHEMATICS TEACHER THROUGH NAÏVE BAYES CLASSIFIER: THE CASE OF MATHEMATICAL ABSTRACTION PROBLEM by Riki Andriatna, Dadan Dasari

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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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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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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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