Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models by Qing Zhang, Qi Li, Zhilong Yu, Ruibo Yang, Emmanuel Eric Pazo, Yue Huang, Hui Liu, Chen Zhang, Salissou Moutari, Shaozhen Zhao

“…Results Regression models demonstrated moderate predictive performance, with random forest delivering the best performance (MAE: 134.0 µm, RMSE: 171.3 µm, Pearson’s correlation coefficient: 0.45). …”
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Key Generation and Testing Based on Biometrics by Alaa AbdulRaheeM, shahd Abdulrhman Hasso

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Serum ferritin levels and risk of gestational diabetes mellitus: A cohort study by Yupei Xie, Siyu Dai, Qian Chen, Dan Shan, Xiongfei Pan, Yayi Hu

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Oxytocin is an important determinant of psychosocial behavior: a study conducted in three secondary schools in rural Bangladesh by Nehlin Tomalika, Rishad Mahzabeen, Naima Ahmed, Sadya Afroz, AHG Morshed, MA Sayeed

“…Students aged 11 – 18 years from classes six to ten were selected randomly. Having purposively selected 3 schools, the student participants were randomly selected based on class roll numbers 5, 15, 25, 35, 45, 55, 65 - --- 95; ten from each class for the girls (10 X 5 = 50). …”
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Metabolic Predictors of Cardiorespiratory Fitness Responsiveness to Continuous Endurance and High-Intensity Interval Training Programs: The TIMES Study—A Randomized Controlled Tria... by Alex Castro, Antonio Gilberto Ferreira, Aparecida Maria Catai, Matheus Alejandro Bolina Amaral, Claudia Regina Cavaglieri, Mara Patrícia Traina Chacon-Mikahil

“…This study aimed to identify predictive biomarkers for the classification of CRF responsiveness based on serum and intramuscular metabolic levels before continuous endurance training (ET) or high-intensity interval training (HIIT) programs using a randomized controlled trial. <b>Methods:</b> Forty-three serum and seventy intramuscular (vastus lateralis) metabolites were characterized and quantified via proton nuclear magnetic resonance (¹H NMR), and CRF levels (expressed in METs) were measured in 70 sedentary young men (age: 23.7 ± 3.0 years; BMI: 24.8 ± 2.5 kg·m⁻²), at baseline and post 8 weeks of the ET, HIIT, and control (CO) periods. …”
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CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs by Ying Zhang, John S. Preisser, Fan Li, Elizabeth L. Turner, Paul J. Rathouz

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Concurrent Mode-Division Multiplexed Half-Mode Substrate-Integrated Waveguide Link With Three Independent Data Channels by Mohamed Elsawaf, Constantine Sideris

“…Furthermore, real-time eye-diagram measurements of the link using a pseudo-random binary sequence (PRBS) and on-off keying (OOK) modulation are presented in addition to a full MATLAB simulation model of the link showing its performance under quadrature amplitude modulation (QAM). …”
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Association between oral health-related behaviors and quality of life of adolescents among three provinces in Northwest China by Xiao Hu, Can Wang, Jianghong Gao, Jiangang Tian, Lingling Li, Zhige Li, Kaixin Guo, Ruizhe Huang

“…Adolescents' oral health-related behaviors and OHRQoL were collected by questionnaire. Chi-square test and binary logistic regression analysis were used to examine the relationship.ResultsA total of 7,648 subjects were included. …”
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Exploring atomic occupation of ternary alloy elements at L12-Ni3Al sub-lattice by WANG Kun, ZHANG Jing, MA Wenlai

“…The Ni3Al phase of L12 crystal lattice is the most important strengthening phase for nickel-base super-alloy of an aero-engine. …”
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Exploration of the clinicopathological and prognostic significance of BRCA1 in gastric cancer by Hongrong Zhang, Qi Xu, Hongxing Kan, Yinfeng Yang, Yunquan Cai

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Drug-Coated Balloons versus Drug-Eluting Stents for the Treatment of De Novo Coronary Artery Disease: A Meta-Analysis of Randomized Controlled Trials by Jialong Niu, Kexin Wang, Wenjie Wang, Yixuan Liu, Jiaxin Yang, Yan Sun, Furong Wang, Wen Gao, Hailong Ge

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Trends in Transcatheter Versus Surgical Aortic Valve Replacement Outcomes in Patients With Low‐Surgical Risk: A Systematic Review and Meta‐Analysis of Randomized Trials by Sina Kazemian, Parisa Fallahtafti, Mohammad Sharifi, Negin Sadat Hosseini Mohammadi, Hamidreza Soleimani, Arman Soltani Moghadam, Elaheh Karimi, Yaser Sattar, Yaser Jenab, Mehdi Mehrani, Alimohammad Hajizeinali, Mina Iskander, Mehrshad Fathian Sabet, Negar Salehi, Karim Al‐Azizi, Diaa Hakim, Mahboob Alam, Kaveh Hosseini

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Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP by Faruq Abdul Hakim, Tio Dharmawan, Muhamad Arief Hidayat

“…Several prior studies show that the Linde Buzo gray vector quantization (LBG-VQ) and Multi-block local binary pattern (MB-LBP) methods can extract texture features from images. …”
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Risks and Benefits of Nalmefene in the Treatment of Adult Alcohol Dependence: A Systematic Literature Review and Meta-Analysis of Published and Unpublished Double-Blind Randomized... by Clément Palpacuer, Bruno Laviolle, Rémy Boussageon, Jean Michel Reymann, Eric Bellissant, Florian Naudet

“…Double-blind randomized clinical trials evaluating nalmefene to treat adult alcohol dependence, irrespective of the comparator, were included if they reported (1) health outcomes (mortality, accidents/injuries, quality of life, somatic complications), (2) alcohol consumption outcomes, (3) biological outcomes, or (4) treatment safety outcomes, at 6 mo and/or 1 y. …”
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Protocol for a Cluster Randomized Controlled Trial to Reduce Susceptibility to Tobacco Use Among School Going Adolescents in a South-Indian District—(Project TEACH) by Priyanka Bantwal, Veena G Kamath, John Britton, Ilze Bogdanovica, Manjula A Kunder, Samir K Praharaj, Muralidhar M Kulkarni

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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

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A stacked ensemble approach to detect cyber attacks based on feature selection techniques by Wahida Ferdose Urmi, Mohammed Nasir Uddin, Md Ashraf Uddin, Md. Alamin Talukder, Md. Rahat Hasan, Souvik Paul, Moumita Chanda, John Ayoade, Ansam Khraisat, Rakib Hossen, Faisal Imran

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Comparative Analysis of Mechanistic and Correlative Models for Global and Bhutan-Specific Suitability of Parthenium Weed and Vulnerability of Agriculture in Bhutan by Sangay Dorji, Stephen Stewart, Asad Shabbir, Ali Bajwa, Ammar Aziz, Steve Adkins

“…This study compared the mechanistic model CLIMEX with random forest (RF), the best-performing of a suite of correlative models. …”
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Driver injury severity in two-vehicle accidents considering collision role by JIN Wenzhou, PEI Xiaohang, TANG Zuogan, YAO Yinjie

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Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems by Fazliddin Makhmudov, Dusmurod Kilichev, Ulugbek Giyosov, Farkhod Akhmedov

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