The correlation of vitamin D with HOMA-IR and glycated hemoglobin in type 2 diabetes mellitus patients by Sujesh-Kumar Narayanan, Renjith Gopikuttan

“…Pearson’s correlation coefficient was used to determine the association of vitamin D with HbA1c and HOMA-IR. …”
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Investigating the Factor Structure and Psychometric Properties of the Iranian Version of the Acceptance of Cosmetic Surgery Scale by Zobeydeh Dehghan Manshadi, Mohammad Bagher Kajbaf, Susan Hamedi, Marieh Dehghan Manshadi, Safoora Nowroozi

“…Materials and Methods: In this cross-sectional study, 226 students were selected through convenience sampling among students of Hormozgan University during the academic year 2014–2015. …”
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Tear and serum superoxide dismutase and catalase activities in hypertensive retinopathy by Ecaterina Pavlovschi, Valeriana Pantea, Djina Borovic, Olga Tagadiuc

“…Material and Methods — 90 hypertensive patients were divided in three groups, according to the Keith-Wagener classification: GI-36, GII-35 and GIII-19. …”
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Factors Predicting the standard precautions for infection control pre-hospital emergency staff of Hamadan based on the Health Belief Model by Masoud Khodaveisi, Mahnaz Mohamadkhani, Roya Amini, Manoochehr Karami

“…Materials and Methods: In a descriptive-analytic study, 84 pre-hospital emergency staff members were selected through the census sampling method in Hamadan, Iran, 2017. …”
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Grouping based calculus for propositional linear temporal logic by Kostas Ragauskas, Adomas Birštunas

“…The task involves defining the standard rule application process for the derivation procedure (as used in [4] and [5]), determining and proving properties for the absence of a loop beneath some sequent, and creating a new calculus G*TL, which uses the proposed sequent grouping method, along with the method of marks (similar marking concepts were proposed in  [5] and [6]). …”
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Clinical Applicability of Stem Cell Therapy in Dental Diseases: A Systematic Review of Available Clinical Trials by Atena Shiva, Shahin Arab, Maziar Khatami, Nika Rezaeikalantari, Rezvan Yazdian, Parastoo Namdar

“…In the present study, we systematically reviewed the literature to determine the efficiency of stem cells in treating various dental diseases. …”
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Dependence of Microcrack Behavior in Wood on Moisture Content during Drying by Hiroyuki Yamamoto, Hiroki Sakagami, Yoshio Kijidani, Junji Matsumura

“…The modified CLSM system and the method of measuring the MC of the surface of wood can be used to efficiently evaluate methods of drying wood and the quality of dried wood.…”
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Identification of Pathogenic Mutation c.286dupA in TYR Gene in an Individual with Oculocutaneous Albinism Using Exome Sequencing by Parto Hekmatpou, Parnian Hekmatpou, Farideh Jalali Mashayekhi, Sahar Bayat, Milad Gholami

“…Conclusions: The mutation causing oculocutaneous albinism was identified in the affected person using the high-efficiency whole exome sequencing method and then confirming the mutation through Sanger sequencing. …”
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Newborn screening for sickle cell anemia in Antalya, Türkiye by Zeynep Öztürk, O Alphan Küpesiz, Gülsün Karasu, Vedat Uygun, Nihal Oygür, M Akif Yeşilipek

“…Methods. During a 14-month period, 2562 heel prick blood samples, taken on filter paper from Akdeniz University Hospital, Antalya Education and Research Hospital and Antalya Atatürk State Hospital and four other healthcare centers, were studied using the high pressure liquid chromatography method. …”
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Machine Learning-Based Mooring Failure Detection for FPSOs: A Two-Step ANN Approach by Omar Jebari, Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, Moohyun Kim

“…These findings demonstrate the potential of machine learning for near-real-time mooring integrity monitoring, offering a practical and efficient alternative to traditional inspection methods.…”
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Incorporating exon–exon junction reads enhances differential splicing detection by Mai T. Pham, Michael J. G. Milevskiy, Jane E. Visvader, Yunshun Chen

“…However, the standard exon counting method does not consider exon-junction information, which may reduce the statistical power in detecting splicing alterations. …”
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Detection of Road Rage in Vehicle Drivers Based on Speech Feature Fusion by Xiaofeng Feng, Chenhui Liu, Ying Chen

“…These features are first analysed, and each feature selected for fusion is determined preliminarily based on experience. To improve the detection efficiency, principal component analysis (PCA) is used to reduce the dimensionality of the fused features. …”
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MODEL OF THERMOELECTRIC DEVICE FOR HEAT IMPACT ON FEET by O. V. Evdulov, D. K. Kadirova, S. G. Magomedova, T. A. Ragimova, M. A. Khazamova

“…For the most general case, a mathematical model is constructed, based on a numerical solution of the nonstationary heat conduction problem of a layered system. As a numerical method for solving a system of differential equations, the Galerkin method, characterised by high accuracy and efficiency, is used.Results. …”
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CURRENT COMPUTER TECHNOLOGIES IN THE DIAGNOSIS OF TRACHEOMALACIA IN PATIENTS WITH CICATRICIAL TRACHEAL STENOSIS IN THE PERIOPERATIVE PERIOD by I. M. Koroleva, M. A. Mishchenko

“…Objective: to analyze current radiodiagnostic techniques in identifying tracheomalacia (TM) and estimating its severity and extent in patients with cicatricial tracheal stenosis (CTS) and to determine the important characteristics of TM according to follow-up multislice computed tomography (MSCT) and magnetic resonance imaging (MRI) findings.Material and methods. …”
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An adaptive hybrid schema for data-centric storage in wireless sensor networks by Pooya Hejazi

“…Storage, query cost, and energy efficiency are among the most important data dissemination issues in wireless sensor networks. …”
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Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models by Wencheng Shao, Liangyong Qu, Xin Lin, Ying Huang, Weihai Zhuo, Haikuan Liu

“…The accuracy of the models was evaluated using the mean absolute percentage error (MAPE) and coefficient of determination (R2). Results The results showed a high precision in dose prediction for various organs, including the brain (MAPE: 1.5%, R2: 0.9), eyes (MAPE: 5%, R2: 0.84), lens (MAPE: 5%, R2: 0.82), bowel (MAPE: 6%, R2: 0.84), kidneys (MAPE: 7.5%, R2: 0.7), and liver (MAPE: 8%, R2: 0.67). …”
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Influence of Different Strength Training Protocol on Breaststroke Performance in Competitive Swimmers by Nimrot Manalu, Syarifah Fathynah SS, Ivan Reano Panjaitan, Alifian Dwi Putra Situmorang, Deo Rivaldi, Muhammad Farhan Tumanggor

“…This study aims to evaluate the effects of different strength training protocols on breaststroke performance in competitive swimmers, focusing on physiological adaptations, biomechanical efficiency, and performance outcomes. Materials and methods. …”
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Investigation Of The Relation Between Additive Commonly Used In Meat Products - Soy And Meat By Fluorescence Spectroscopy by Z. Ozbekova, A. Kulmyrzaev

“…From the results, determination ratio of soy in sausages, evaluation the differences between soy and meat and prediction of chemical content of samples (protein and fat with regression coefficients R2 ≈ 0.85 and R2 ≈ 0.89 by the emission spectra of tryptophan and dry matter with regression coefficients R2 ≈ 0.89 by the spectra of riboflavin have been determined) has been shown. …”
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Analisis Visual dan Machine Learning untuk Mengukur Validitas Dokumen Akademik Perpustakaan: Studi pada Data Turnitin by Hesti Ari Wardani, Imam Yuadi

“…Additionally, this research is expected to serve as a foundation for academic policies in strengthening plagiarism detection systems, increasing transparency in evaluation, and promoting the development of more accurate and efficient document validation methods. However, this study has limitations regarding the scope of data used, particularly in terms of study program representation and external factors that may influence Turnitin scores. …”
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Deep Learning Strategy for UAV-Based Multi-Class Damage Detection on Railway Bridges Using U-Net with Different Loss Functions by Yong-Hyoun Na, Doo-Kie Kim

“…To enable multi-class segmentation, the U-Net model was trained using three different loss functions: Cross-Entropy Loss, Focal Loss, and Intersection over Union (IoU) Loss. We compared these methods to determine their ability to distinguish actual structural damage from environmental factors and surface contamination, particularly under real-world site conditions. …”
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