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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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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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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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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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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Revealing the heterogeneity of treatment resistance in less‐defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy by Wei Hua, Jie Liu, Yue Li, Hua Yin, Hao‐Rui Shen, Jia‐Zhu Wu, Yi‐Lin Kong, Bi‐Hui Pan, Jun‐Heng Liang, Li Wang, Jian‐Yong Li, Rui Gao, Jin‐Hua Liang, Wei Xu

“…Conclusively, leveraging these results, we have created an online analytical tool (https://xulymphoma.shinyapps.io/PCDI_pred/) designed for the prognostic prediction of patients with less‐defined subtype DLBCL. …”
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Prediksi Kelulusan Tepat Waktu Berdasarkan Riwayat Akademik Menggunakan Metode K-Nearest Neighbor by Imam Riadi, Rusydi Umar, Rio Anggara

“…The test results point k=1 to point k=7, k=3 is the highest prediction accuracy value so that the research results become a source of knowledge for the faculty in predicting student graduation. …”
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Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

“…Our results highlight the utility of machine learning applications for clinical risk prediction and scope to improve patient surveillance.…”
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Multi-generational adaptation to Solanum nigrum increases reproduction and decreases microbial diversity of Aphis gossypii by Peng Wang, Peng Wang, Yu-Xi Jing, Ya-Jie Ma, Ya-Jie Ma, Dan Wang, Yong-Pan Shan, Hongyan Hu, Changcai Wu, Xian-Peng Song, Xiangliang Ren, Xiangliang Ren, Xiangliang Ren, Yan Ma, Yan Ma, Yan Ma, Xiaoyan Ma, Xiaoyan Ma, Xiaoyan Ma

“…KEGG (Kyoto Encyclopedia of Genes and Genomes) function prediction analysis suggested that the roles of symbiotic bacteria in A. gossypii are primarily linked to metabolic processes. …”
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Fusion of EEG and EMG signals for detecting pre-movement intention of sitting and standing in healthy individuals and patients with spinal cord injury by Chenyang Li, Chenyang Li, Yuchen Xu, Tao Feng, Tao Feng, Minmin Wang, Minmin Wang, Minmin Wang, Xiaomei Zhang, Li Zhang, Li Zhang, Ruidong Cheng, Weihai Chen, Weihai Chen, Weidong Chen, Weidong Chen, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang

“…Each filter paired with a support vector machine classifier to classify future movements into one of three classes: sit-to-stand, stand-to-sit, or rest. The final prediction was determined using a majority voting scheme.ResultsAmong the three functional connectivity methods investigated—coherence, Pearson correlation coefficient and mutual information (MI)—the MI-based EEG–EMG network showed the highest decoding performance (94.33%), outperforming both EEG (73.89%) and EMG (89.16%). …”
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