Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…Based on previous NST data, it can be designed as a school readiness prediction model that will facilitate teachers and parents in knowing the readiness of children to enter elementary school. …”
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Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

“…The ChEA3 database was utilized to predict the transcription factors regulated by core ubiquitination-related genes. …”
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Rainfall intensity profile induced changes in surface‒subsurface flow and soil loss as influenced by surface cover type: A long-term in situ field study by Jian Duan, Haijin Zheng, Lingyun Wang, Yaojun Liu, Minghao Mo, Jie Yang

“…., the temporal intensity distribution within a rainfall event) increase the difficulty of accurate erosion prediction and control. Surface cover has been widely used as a critical measure to control soil erosion worldwide. …”
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Reliability generalization meta-analysis of the internal consistency of the Big Five Inventory (BFI) by comparing BFI (44 items) and BFI-2 (60 items) versions controlling for age,... by Waqar Husain, Areen Jamal Haddad, Muhammad Ahmad Husain, Hadeel Ghazzawi, Khaled Trabelsi, Achraf Ammar, Zahra Saif, Amir Pakpour, Haitham Jahrami

“…I2 and Cochran's Q tests were used to examine heterogeneity, with prediction intervals suggesting genuine influences around the pooled estimate. …”
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Functional and Structural Consequences of Nine CYP21A2 Mutations Ranging from Very Mild to Severe Effects by Débora de Paula Michelatto, Leif Karlsson, Ana Letícia Gori Lusa, Camila D’Almeida Mgnani Silva, Linus Joakim Östberg, Bengt Persson, Gil Guerra-Júnior, Sofia Helena Valente de Lemos-Marini, Michela Barbaro, Maricilda Palandi de Mello, Svetlana Lajic

“…Functional analyses were complemented with in silico prediction of mutation pathogenicity based on the recently crystallized human CYP21A2 structure. …”
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Prognostic utility of neutrophil gelatinase-associated lipocalin (NGAL) levels for cardiovascular events in patients with stable coronary artery disease treated with percutaneous c... by Ting-Yu Lin, Hsin-Bang Leu, Yen-Wen Wu, Wei-Kung Tseng, Tsung-Hsien Lin, Hung-I Yeh, Kuan-Cheng Chang, Ji-Hung Wang, Wei-Hsian Yin, Chau-Chung Wu, Chun-Yao Huang, Shing-Jong Lin, Chien-Yi Hsu, Jaw-Wen Chen

“…Furthermore, no significant prognostic predictive value between NGAL levels and stable CAD has been established. …”
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Ocular Biometry OCR: a machine learning algorithm leveraging optical character recognition to extract intra ocular lens biometry measurements by Anish Salvi, Leo Arnal, Kevin Ly, Gabriel Ferreira, Sophia Y. Wang, Sophia Y. Wang, Curtis Langlotz, Curtis Langlotz, Vinit Mahajan, Vinit Mahajan, Chase A. Ludwig, Chase A. Ludwig

“…To ensure the models’ predictions could be put into a machine learning-ready format, artifacts were removed from categorical text data through manual modification where necessary. …”
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Global human exposure of atmospheric polybrominated diphenyl ethers: Variation patterns of exposure pathways and phase contributions by Pengtuan Hu, Shimin Zhong, Jin Guo, Mengyao Wang, Shiyu Shi, Donghai Liu, Hao Yu, Fujie Zhu, Yi-Fan Li, Zhiguo Cao

“…Data on gaseous PBDEs were collected from 125 cities across 38 countries and regions to predict size-resolved particulate exposure levels, utilizing our previous method for inhalation alongside a size-dependent prediction method for dermal exposure developed in this study. …”
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Prognostic Implications of the Number of Lymph Node Metastases in Oral Tongue Squamous Cell Carcinoma: A Population Study of the SEER Database and an Institutional Registry by Wenjie Huang, Yu Zhang, Hao Li, Zhiying Liang, Shumin Zhou, Jie Pan, Hui Xie, Chao Luo, Shuqi Li, Guangying Ruan, Fei Ai, Yanfeng Chen

“…Results Among 518 curative‐intent OTSCC patients, the number of PLNs independently predicted overall survival (OS), surpassing other pathological nodal features, including extranodal extension, laterality, and lower neck involvement. …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…Individuals from the four regions could be distinguished and predicted based on a model constructed using the random forest algorithm, with the predictive effect of palmar microbiota being better than that of oral and nasal cavities. …”
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Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial by Ukrae Cho, Yong Nam Gwon, Seung Ryong Chong, Ji Yeon Han, Do Kyung Kim, Seung Whan Doo, Won Jae Yang, Kyeongmin Kim, Sung Ryul Shim, Jaehun Jung, Jae Heon Kim

“…ObjectiveThis study aimed to assess the effectiveness of an AI-based prediction tool in providing patients with information about potential complications from ureteroscopy and ureteric stent placement and indicating the need for early additional therapy. …”
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Identification of methyltransferase and demethylase genes and their expression profiling under biotic and abiotic stress in pigeon pea (Cajanus cajan [L.] Millspaugh) by Priyanka Kumari, Priyanka Kumari, Sougata Bhattacharjee, Sougata Bhattacharjee, K. Venkat Raman, Jyotsana Tilgam, Jyotsana Tilgam, Krishnayan Paul, Krishnayan Paul, Kameshwaran Senthil, Mahi Baaniya, Mahi Baaniya, G. Rama Prashat, Rohini Sreevathsa, Debasis Pattanayak

“…The identified genes were analyzed through phylogenetic relationship, chromosomal position, gene structure, conserved motif, domain and subcellular location prediction etc. These structural analyses resulted in categorization of MTs and FIPs into one group, i.e., CcMTA/B and CcFIPA/B, respectively; and ALKBHs into four groups, viz. …”
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Effects of Carbonate Alkalinity on Antioxidants, Immunity and Intestinal Flora of <i>Penaeus vannamei</i> by Chuang Gao, Zhonghong Li, Bo Ma, Rantao Zuo, Xudong Shen, Mingkang Chen, Chuanqi Ren, Wenjun Zheng, Zhonglu Cai, Jiaxing Li, Shuang Li

“…At the genus level, the abundance of <i>Chrysobacteria</i> was significantly increased (<i>p</i> < 0.05). The functional prediction results of COG and KEGG showed that the functional abundance of RNA polymerase sigma-70 factor is direct bacterial or plastid core RNA polymerase and is specific to promoter elements that are situated 10 and 35 base-pairs upstream of transcription-initiation points—in the high carbonate alkalinity treatment group, this was higher than that in the control group. …”
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Prognostic biomarker soluble ST2 exhibits diurnal variation in chronic heart failure patients by Sandra Crnko, Markella I. Printezi, Tijn P.J. Jansen, Laurynas Leiteris, Manon G. van derMeer, Hilde Schutte, Martijn vanFaassen, Bastiaan C. duPré, Nicolaas deJonge, Folkert W. Asselbergs, Carlo A.J.M. Gaillard, Hans Kemperman, Pieter A. Doevendans, Joost P.G. Sluijter, Linda W. vanLaake

“…For example, by measuring sST2 during the afternoon, when levels are at their highest, false negatives on prognosis prediction could be avoided.…”
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Open-label dose-extending placebos for opioid use disorder: a protocol for a randomised controlled clinical trial with methadone treatment by Annabelle M Belcher, Thomas O Cole, Aaron D Greenblatt, Stephen W Hoag, David H Epstein, Michael Wagner, Amy S Billing, Ebonie Massey, Kristen R Hamilton, Zofia K Kozak, Christopher J Welsh, Eric Weintraub, Emerson M Wickwire, Eric D Wish, Ted J Kaptchuk, Luana Colloca

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Sex Differences in the Prognostic Value of Circulating Biomarkers in Patients Presenting With Acute Chest Pain by Gard Mikael Sæle Myrmel, MD, Nasir Saeed, Ole Thomas Steiro, MD, Hilde Lunde Tjora, MD, PhD, Jørund Langørgen, MD, PhD, Rune Oskar Bjørneklett, MD, PhD, Øyvind Skadberg, MD, Vernon Vijay Singha Bonarjee, MD, PhD, Øistein Rønneberg Mjelva, MD, Eva Ringdal Pedersen, MD, PhD, Kjell Vikenes, MD, PhD, Torbjørn Omland, MD, PhD, Kristin Moberg Aakre, MD, PhD

“…Background: Biomarkers are used for long-term risk prediction of cardiovascular (CV) events in patients presenting with suspected acute coronary syndromes. …”
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Modification and analysis of context-specific genome-scale metabolic models: methane-utilizing microbial chassis as a case study by M. A. Kulyashov, R. Hamilton, Y. Afshin, S. K. Kolmykov, T. S. Sokolova, T. M. Khlebodarova, M. G. Kalyuzhnaya, I. R. Akberdin

“…The CS-GSM predictions agreed with the experimental measurements under the assumption that the Fae1-2 is a part of the tetrahydrofolate-linked pathway. …”
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The role of the behavioral immune system in the expression of short and long-term orientation in young Chilean men during the COVID-19 pandemic by Oriana Figueroa, Pablo Polo, Daniel Torrico-Bazoberry, Gabriela Fajardo, Carlos Rodríguez-Sickert, Nohelia Valenzuela, Abigail Arenas, Paula Pavez, Montserrat Belinchon, Gabriela Valdebenito, José Antonio Muñoz-Reyes

“…The behavioral immune system predicts that when faced with the risk of contagion from pathogens, people tend to reduce their sociality, especially sociosexuality. …”
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Neovascular glaucoma as a complication of proton therapy for uveal melanoma by I.E. Panova, E.M. Svistunova, N.A. Vorobyov, E.V. Samkovich, N.I. Martynova, A.A. Bykhovsky

“…Further study of the issue in a larger patient cohort and a longer follow-up will provide identification of additional risk factors for NVG and generation of a mathematical prediction model of the complication development. </p> <p> <b>Keywords: </b>choroidal melanoma, proton therapy, uveal melanoma, ocular oncology, neovascular glaucoma, radiation-related complications. …”
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Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

“…The experimental results indicated that the model’s prediction results were reliable and exhibited higher efficiency compared to other combinations. …”
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