Effect of Educational Guidelines on Adherence of Patients with Viral Hepatitis C toward New Oral Therapeutic Regimen by Sahar A. Hassan, Salwa S. Kamel, Manal S. Hassan, Asmaa A. Saleh

“…Close involvement of the individuals and their families in decision-making about disease management to improve patient adherence. …”
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Recurrent Rectal Prolapse: Re-recurrence Rate and Risk Factors by Giulia De Carlo, Mikhael Belkovsky, Kristen A. Ban, Tracy L. Hull, Anna R. Spivak

“…Currently, there are no established guidelines to support surgical decision-making in cases of recurrent RP (RRP) surgery. …”
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The Influence of Work Discipline and Loyalty on Employee Performance at PT. Fajar Mandiri Barokah Sumedang Regency by Sudibyo Budi Utomo

“…In this study, a saturated sample of 30 PT employees was taken. Fajar Mandiri Barokah Sumedang Regency. …”
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Artificial Intelligence (AI) as a Moderating Variable in the Relationship Between Financial Inclusion, Digital Adoption, and Financial Literacy in Developing Economies by Aishwaryalaxmi N.S., Rathod Pralhad, Arokiyswamy C Milagrin Mary

“…The findings suggest that AI enhances financial decision-making for underserved populations by simplifying complex financial tasks and bridging financial literacy gaps. …”
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Cancer Diagnosis Optimization With a Combination of Flexible THz Antennas and Machine Learning by M. Senthil Pandian, S. Deepa Nivethika, J. Idhikash, Vamsee N. Yashwanth, Aishwarya Shaji, Prabhakaran Paulraj

“…In contrast, microscopic techniques such as histopathology require invasive biopsy samples and lack real‐time diagnostic capabilities. …”
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The association between subjective and objective financial knowledge: Path analysis to savings behavior by age by Soohyoung Rain Lee, Euijin Jung, Sil Jin, Zhong Anastasia Wang, Petra Brown, Esther Polotsky

“…Discussion: The results emphasize the necessity of fostering both financial knowledge and confidence in financial decision-making processes. There is a clear need for financial education interventions that not only impart objective knowledge but also bolster individuals’ subjective financial skills, thereby equipping them with the comprehensive capabilities required to make informed decisions about their retirement savings.…”
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Dual-Stream Contrastive Latent Learning Generative Adversarial Network for Brain Image Synthesis and Tumor Classification by Junaid Zafar, Vincent Koc, Haroon Zafar

“…Our approach has the potential of generating high-fidelity augmentations for reliable AI-driven clinical decision support systems.…”
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A Generalizability Analysis of the Reliability of Measurements: "An Example of Cell Division and Heredity Unit" by Gülşah Başol, Muammer Yüksel

“…There were no differences among the essay scores given by different raters. Findings of decision study indicated Student facet as the main source of the variation in the data for both types of the measurements. …”
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A Hybrid Machine Learning Framework for Early Fault Detection in Power Transformers Using PSO and DMO Algorithms by Mohammed Alenezi, Fatih Anayi, Michael Packianather, Mokhtar Shouran

“…This study introduces a novel machine learning framework that integrates Particle Swarm Optimization (PSO) and Dwarf Mongoose Optimization (DMO) algorithms for feature selection and hyperparameter tuning, combined with advanced classifiers such as Decision Trees (DT), Random Forests (RF), and Support Vector Machines (SVM). …”
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Design of e-commerce product price prediction model based on generative adversarial network with adaptive weight adjustment by Abuduaini Abudureheman, Yan Zhao, Aishanjiang Nilupaer

“…These results indicate that the proposed approach significantly enhances the accuracy of e-commerce product price predictions, providing robust decision-making support for merchants.…”
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3D Pulse Image Detection and Pulse Pattern Recognition Based on Subtle Motion Magnification Technology by Chongyang YAO, Yongxin CHOU, Zhiwei LIANG, Haiping YANG, Jicheng LIU, Dongmei LIN

“…On this basis, nine features are extracted from the 3D pulse signals and features selection is performed using a two-sample Kolmogorov-Smirnov test. Finally, machine learning algorithms such as decision trees and random forests are used to identify the five types of pulse conditions: deep pulse, intermittent pulse, flooding pulse, slippery pulse, and rapid pulse. …”
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A surrogate-assisted differential evolution algorithm with a dual-space-driven selection strategy for expensive optimization problems by Hanqing Liu, Zhigang Ren, Chenlong He, Wenhao Du

“…It tries to select the solutions with good fitness and small NC values under a multi-objective sample selection framework and thus helps the resulting SAEA steadily search in multiple neighborhoods of excellent solutions. …”
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Intention to Use Automated Diagnosis and Clinical Risk Perceptions Among First Contact Clinicians in Resource-Poor Settings: Questionnaire-Based Study Focusing on Acute Burns by Constance Boissin, Lisa Blom, Zara Taha, Lee Wallis, Nikki Allorto, Lucie Laflamme

“… Abstract BackgroundBurn automated diagnosis may be instrumental for accurate and timely decision-making at point-of-care, helping to ensure that the right patients are triaged to burns centers. …”
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Cluster Analysis of Motor Symptoms in Early-Diagnosed Parkinson’s Disease Patients by Renee M. Hendricks, Shreyasi Biswas

“…Methods: This study utilized a decision tree cluster analysis method applied to categorical symptom data from PD patients. …”
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Metamorphosis of Risks of Material Misstatement in Statutory Audit, from Identification to Canon, in the Context of Globalization by Oana V. TIRDEA (PREDOAIA), Alexandru Ioan MACA

“…In a context marked by the intensification of concerns for sustainable practices and transparency in corporate communication, the analysis of the factors influencing companies' decision to publish sustainability reports becomes relevant. …”
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Rapid Probabilistic Inundation Mapping Using Local Thresholds and Sentinel-1 SAR Data on Google Earth Engine by Jiayong Liang, Desheng Liu, Lihan Feng, Kangning Huang

“…VV (vertical transmit and vertical receive) polarization, given appropriate samples, yielded strong results. Additionally, the influence of different land cover types on the performance was also observed. …”
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STUDENTS’ CHEMICAL LITERACY PROFILE ON CHEMICAL EQUILIBRIUM MATERIAL: A CASE OF CORAL REEFS TOPIC by Faiz Ilham Pratama, Eli Rohaeti, Endang Widjajanti Laksono

“…Chemical literacy is necessary for students since it can be a background for them to make a decision, build their critical thinking, and creativity, and help them solve daily problems or natural phenomena based on their knowledge. …”
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The effect of stigma reduction initiatives on HIV testing rates among college students in region XI: The mediating role of safer sex practices by Lynard Bobby L. Asirit

“…Demographic factors had limited impact on the choice of abstinence as a safer sex practice, emphasizing unaccounted variables in decision-making. While participants exhibited good knowledge and positive attitudes toward HIV/AIDS, variability within the sample highlighted the need for tailored interventions. …”
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Corporate Social Responsibility Effect on the Company Capitalization (the Results of an Empirical Study) by I. N. Tkachenko, L. A. Ramenskaya

“…This conclusion can be used as a criterion for considering socially responsible investment policy and effective decision making. The findings of the study allowed the authors to lay down the guidelines for working out rational managerial decisions to foster company’s strategic efficacy.…”
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Concept mapping teaching method and nursing education: a systematic review and meta-analysis by Azam Faraji, Zhina banafshi, Rostam Jalali, Amir Jalali

“…Abstract Background Concept map is a novel metacognitive approach in education that can improve critical thinking and decision making skills in students and nurses. Therefore, the current systematic review and meta-analysis was conducted aimed to determine the effect of the concept map approach in nursing education. …”
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