“Doctor-Led, Patient-Centered”: A Mixed-Method Research Comparing Patients’ and Doctors’ Treatment Outcome Choices for Chronic Low Back Pain by Li X, Zhang Y, Mao Z, Chen Q, Lan X, Chen H, Sun YN, Yu CH, Wang XY

“…Quantitative data, analyzed with SPSS, were summarized as percentages for categorical variables and as means with standard deviations or medians for continuous variables. …”
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Observational study: effect of varying transport durations and feed withdrawal on the physiological status and health of dairy calves by Luca L. van Dijk, Susanne Siegmann, Niamh L. Field, Katie Sugrue, Cornelis G. van Reenen, Eddie A. M. Bokkers, Muireann Conneely, Gearoid Sayers

“…(Generalised) linear mixed models were used to analyse differences in blood variables, weight, and health scores on arrival and during recovery (all other timepoints). …”
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Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Ac... by Sandrine Müller, Susanne Diekmann, Markus Wenzel, Horst Karl Hahn, Johannes Tuennerhoff, Ulrike Ernemann, Florian Hennersdorf, Max Westphal, Sven Poli

“…This approach may help uncover clinically relevant variables for potential inclusion in future guideline refinements.…”
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Development of a predictive model for patients with bone metastases referred to palliative radiotherapy: Secondary analysis of a multicenter study (the PRAIS trial) by Romina Rossi, Federica Medici, Ragnhild Habberstad, Pal Klepstad, Savino Cilla, Monia Dall'Agata, Stein Kaasa, Augusto Tommaso Caraceni, Alessio Giuseppe Morganti, Marco Maltoni

“…We employed machine learning techniques, comprising the following steps: (i) identification of reliable prognostic variables and training; (ii) validation and testing of the model using the selected variables. …”
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Gender, Culture, and Social Media: Exploring Women’s Adoption of Social Media Entrepreneurship in Qatari Society by Hamda Al-Boinin, Savanid Vatanasakdakul, Wajdi Zaghouani

“…Considering the limited research conducted to understand the factors influencing social media adoption in conservative societies such as Qatar, this study aims to examine the factors affecting the adoption of social media among women entrepreneurs in Qatar and extend the Technology Acceptance Model (TAM) by including sociocultural variables. …”
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Machine Learning Methods for Predicting Cardiovascular Diseases: A Comparative Analysis by Aiym B. Temirbayeva, Arshyn Altybay

“…The data was preprocessed, and target variables were converted into binary values for classification. …”
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A Panel of Blood Biomarkers for the Diagnosis of Transient Ischemic Attacks by Daisy Guamán-Pilco, Elena Palà, Marcel Lamana-Vallverdú, Anna Penalba, Paula García-Rodríguez, Marta Rubiera, Alejandro Bustamante, Soledad Pérez-Sánchez, Joan Montaner

“…We compared the groups, examined the effects of the biomarkers via logistic regression, compared models with likelihood ratio tests, assessed predictive accuracy with receiver operating characteristic analysis, and optimized cutoff values with the PanelomiX algorithm. ApoC-III, IL-6, and vWF were the most effective biomarkers in discriminating TIAs from mimics after adjustment for clinical variables. …”
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Spatiotemporal vegetation dynamics in response to precipitation and land surface temperature in the Welmel watershed, southeastern Ethiopia by Tesfaye Bogale, Sileshi Degefa, Gemedo Dalle, Gebeyehu Abebe

“…This study aimed to evaluate the response of seasonal and annual vegetation to climatic factors in the Welmel watershed, southeastern Ethiopia, between 1993 and 2022. …”
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Endosonographic finding of the simultaneous depiction of bile and pancreatic ducts can predict difficult biliary cannulation on endoscopic retrograde cholangiopancreatography. by Susumu Shinoura, Akihiro Tokushige, Kenji Chinen, Hideki Mori, Shin Kato, Shinichiro Ueda

“…A CLAEUS finding of the simultaneous depiction of bile and pancreatic ducts at the second portion of the duodenum (D2) (simultaneous depiction) was selected as a possible predictor of difficult SBDC, and the κ values in the evaluation of inter- and intra-observer variabilities for "simultaneous depiction" were 0.65 and 0.77, respectively, with substantial correlation. …”
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The Survival Rate of Zirconia Versus Titanium Dental Implants: A Systematic Review by Francisca Abreu, Francisco Correia, Tiago Caetano, Ricardo Faria-Almeida

“…The secondary outcome was the implant success rate, which is associated with the values of the peri-implant variables—the probing depth, marginal bone loss, gingival recession, bleeding on probing, plaque index, and aesthetics scores. …”
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Deep Learning-Based Multiclass Framework for Real-Time Melasma Severity Classification: Clinical Image Analysis and Model Interpretability Evaluation by Zhang J, Jiang Q, Chen Q, Hu B, Chen L

“…Existing assessment methods like the Melasma Area and Severity Index (MASI) are subjective and prone to inter-observer variability.Objective: This study aimed to develop an AI-assisted, real-time melasma severity classification framework based on deep learning and clinical facial images.Methods: A total of 1368 anonymized facial images were collected from clinically diagnosed melasma patients. …”
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Development of sustained-release floating tablets of diltiazem hydrochloride by Hung Pham Van, Tung Nguyen Thanh, Nhat Hoang Thi Anh, Hieu Bui Trung, Uyen Dinh Thi Thu, Duyen Nguyen Thi Thanh

“…Dissolution results met United States Pharmacopeia standards, showing values of 26.99±0.97% at 6 hours, 50.31±0.40% at 12 hours, and 91.46±1.92% at 30 hours. …”
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EXPLORING SOCIAL PROTEST POTENTIAL IN MODERN ARMENIAN SOCIETY: INSTITUTIONAL TRUST AND SOCIAL-DEMOGRAPHIC ANALYSIS by Gayane Harutyunyan

“…Additionally, several key variables emerge as significant factors influencing this inclination. …”
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Technological Disruption, Ease of Doing Business, and Manufacturing Resilience: A Study of Competitiveness and Efficiency in Developing Countries by Dwi Budi Santoso, Ferry Prasetyia, Trinh Thi Chung, Axellina Muara Setyanti, Nayaka Artha Wicesa, Al Muizzudin Fazaalloh

“…This research aimed to analyze the determinants of efficiency and competitiveness in the manufacturing sector, encompassing GDP per capita, ease of doing business, technology, and several variables indicative of governance quality, such as corruption control and government effectiveness. …”
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How fast-and-frugal trees can inform diagnostic and intervention decisions for enhancing elite athlete performance. by Lena Siebert, Lukas Reichert, Lisa Musculus, Laura Will, Ahmed Al-Ghezi, Markus Raab, Karen Zentgraf

“…Coaching practice benefits from using FFTrees by providing reference values when an intervention could enhance performance. …”
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Reducing Silica Levels in WTP PLTGU X Wastewater using Rice Husk Filter Membranes by Indah Agus Setiorini, Indah Pratiwi, Irawan Rusnadi, Amiliza Miarti, Achmad Faisal Faputri, Dian Kurnia Sari, Reco Rambang Putra Negsagis

“…Therefore, this research aimed to determine the effectiveness of silica reduction in the Water Treatment Plant (WTP) of PLTGU X by observing the permeate flux values relative to time and operating pressure variables, using ceramic membrane made from rice husk. …”
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Analysis of dietary pattern effects on metabolic risk factors using structural equation modeling by Åse Mari Moe, Sigrunn H. Sørbye

“…Available data included food intake values collected by a food frequency questionnaire. …”
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The Relationship of Orthodontic Treatment Need with Periodontal Status, Dental Caries, and Sociodemographic Factors by Ruhi Nalcaci, Serhat Demirer, Firat Ozturk, Burcu A. Altan, Oral Sokucu, Vildan Bostanci

“…The aim of this study was to determine the relationship of orthodontic malocclusion with periodontal status, dental caries, and sociodemographic status. …”
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MORTALITY AND LOST YEARS OF LIFE AS A RESULT OF CARDIOVASCULAR PREMATURE DEATHS by S. A. Boitsov, I. V. Samorodskaya

“…Aim. Disability and Life-Year Loss (DALYs) is an important healthcare indicator. …”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…The preprocessing process includes imputing missing values and normalizing numerical features so that the model can learn optimally. …”
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