Income level is associated with differences in primary and secondary stroke prevention in China by Huiming Ren, Junrong Ma, Xu Guo, Ruijie Zhang, Liyuan Pu, Tian Zhao, Fangfang Zeng, Chang Shu, Liyuan Han, Yunzhi Wang, Qiang Li, Xiaojie Wang

“…Stroke was determined by the self-reporting of a doctor’s diagnosis, and participants with a high risk of stroke were identified using the model developed in the Prediction for ASCVD Risk in China study. Results The final numbers of people included in this study were 8,884 with stroke and 218,972 with a high risk of stroke. …”
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Synthesizing Local Capacities, Multi-Source Remote Sensing and Meta-Learning to Optimize Forest Carbon Assessment in Data-Poor Regions by Kamaldeen Mohammed, Daniel Kpienbaareh, Jinfei Wang, David Goldblum, Isaac Luginaah, Esther Lupafya, Laifolo Dakishoni

“…Our results further showed that combining optical and radar remote sensing data substantially improved prediction accuracy compared to single-source remote sensing data. …”
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Optimasi Data Tidak Seimbang pada Interaksi Drug Target dengan Sampling dan Ensemble Support Vector Machine by Nabila Sekar Ramadhanti, Wisnu Ananta Kusuma, Annisa Annisa

“…A really imbalanced data may cause bias to prediction result. There are many ways of handling imbalanced data, but this research implemented some methods such as BSVM, oversampling, undersampling with SVM ensemble. …”
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Exploring biomarkers and molecular mechanisms of Type 2 diabetes mellitus promotes colorectal cancer progression based on transcriptomics by Simin Luo, Yuhong Zhu, Zhanli Guo, Chuan Zheng, Xi Fu, Fengming You, Xueke Li

“…The relationship of key genes with immune cells and other cells was evaluated by immune infiltration algorithm and single-cell transcription analysis. Drug prediction was performed by cMAP and the obtained drugs were molecularly docked with the key genes. …”
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miR‐224‐5p Suppresses Non‐Small Cell Lung Cancer via IL6ST‐Mediated Regulation of the JAK2/STAT3 Pathway by Jiao Tian, Yiming He, Zihui Zhang, Yuxin Zhu, Haixia Ren, Liang Zhang, Lei Li, Wei Li, Weidong Zhang, Ting Xiao, Honggang Zhou, Xiaoping Li

“…Potential binding targets of miR‐224‐5p were further identified through the target prediction databases, and the relationships between miR‐224‐5p, its targets, and downstream signaling pathways were further verified using luciferase reporter gene assays and western blotting. …”
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A Peculiar ICME Event in August 2018 Observed With the Global Muon Detector Network by W. Kihara, K. Munakata, C. Kato, R. Kataoka, A. Kadokura, S. Miyake, M. Kozai, T. Kuwabara, M. Tokumaru, R. R. S. Mendonça, E. Echer, A. Dal Lago, M. Rockenbach, N. J. Schuch, J. V. Bageston, C. R. Braga, H. K. Al Jassar, M. M. Sharma, M. L. Duldig, J. E. Humble, P. Evenson, I. Sabbah, J. Kóta

“…This is one of the best examples demonstrating that the observation of high‐energy cosmic rays provides us with information that can only be derived from the cosmic ray measurements to observationally constrain the three‐dimensional macroscopic picture of the interaction between coronal mass ejections and the ambient solar wind, which is essential for prediction of large magnetic storms.…”
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A Navier–Stokes-Informed Neural Network for Simulating the Flow Behavior of Flowable Cement Paste in 3D Concrete Printing by Tianjie Zhang, Donglei Wang, Yang Lu

“…Moreover, the mean prediction time used in the NSINN, the ANN, and Computational Fluid Dynamics (CFD) are 0.039 s, 0.014 s, and 3.37 s, respectively. …”
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Herb5GluCon: A novel polyherbal formulation with dual-action inhibiting properties against oxidative stress and glycoside hydrolases – an in silico and in vitro approach by Abbirami Balachandran, Patrick N. Okechukwu, Baskaran Gunasekaran, Jeleń Małgorzata, Beata Morak-Młodawska, Gabriele R.A. Froemming, Sameer Sapra, Charlie A. Lavilla, Jr., Merell P. Billacura, Salini D. Rajendran, Anis Najwa Abdul Rani, Anand Gaurav

“…The bioactive compounds present in Herb5GluCon was identified using high-resolution mass spectrometry (HRMS) and these compounds were subjected to ADME analysis using the SwissADME, pkCSM and SwissTargetPrediction servers. Results: All compounds showed strong binding energies to AA and AG. …”
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Drp1–associated genes implicated in sepsis survival by Marissa D. Pokharel, Marissa D. Pokharel, Anlin Feng, Anlin Feng, Ying Liang, Ying Liang, Wenli Ma, Wenli Ma, Saurabh Aggarwal, Hoshang Unwalla, Stephen M. Black, Stephen M. Black, Stephen M. Black, Ting Wang, Ting Wang, Ting Wang

“…To evaluate if these GSs can predict sepsis survival, we used publicly available human blood transcriptomic datasets from sepsis patients. …”
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Decadal transformations of antarctic sea ice modes by Benli Guo, Benli Guo, Benli Guo, Peng Yang, Peng Yang, Peng Yang, Jie Yuan, Jie Yuan, Jie Yuan, Honglian Xing, Honglian Xing, Honglian Xing, Wenjie Yuan, Wenjie Yuan, Wenjie Yuan, Yuanku Meng, Yuanku Meng, Yuanku Meng

“…This research enhances our understanding of Antarctic sea ice dynamics and provides valuable insights for future studies on sea ice variability and prediction.…”
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Case based Reasoning Prediksi Waktu Studi Mahasiswa Menggunakan Metode Euclidean Distance dan Normalisasi Min-Max by Henni Endah Wahanani, Made Hanindia Prami Swari, Fawwaz Ali Akbar

“…One approach that can be used to create a graduation prediction system is to use the popular approach namely case based reasoning (CB). …”
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Genome-Wide Identification and Expression Analysis of bHLH-MYC Family Genes from Mustard That May Be Important in Trichome Formation by Jianzhong Li, Guoliang Li, Caishuo Zhu, Shaoxing Wang, Shifan Zhang, Fei Li, Hui Zhang, Rifei Sun, Lingyun Yuan, Guohu Chen, Xiaoyan Tang, Chenggang Wang, Shujiang Zhang

“…In this study, a total of 45 bHLH-MYC transcription factors were identified within the <i>Brassica juncea</i> genome, and a comprehensive series of bioinformatic analyses were conducted on their structures and properties: an examination of protein physicochemical properties, an exploration of conserved structural domains, an assessment of chromosomal positional distributions, an analysis of the conserved motifs, an evaluation of the gene structures, microsynteny analyses, three-dimensional structure prediction, and an analysis of sequence signatures. …”
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Prognostic value of inflammatory markers for all-cause mortality in patients with acute myocardial infarction in the coronary care unit: a retrospective study based on MIMIC-IV dat... by Fen Cao, Jun-jun Jiang, Gui Zhang, Jun Liu, Ping Xiao, Yang Tian, Wei Zhang, Sheng Zhang, Feng Hou, Zhong-Wu Bao, Kun Wu, Yong-zhi Zhu

“…Meanwhile, the area under the receiver operating characteristic (ROC) curve (AUC) was utilized to compare the prediction ability of NLR, SII, PLR, and SIRI in all-cause mortality. …”
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Comprehensive Analysis of m5C RNA Methylation Regulator Genes in Clear Cell Renal Cell Carcinoma by Jiajin Wu, Chao Hou, Yuhao Wang, Zhongyuan Wang, Pu Li, Zengjun Wang

“…This study is aimed at investigating the predictive and clinical value of these m5C-related genes in ccRCC. …”
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A two‐phase epigenome‐wide four‐way gene–smoking interaction study of overall survival for early‐stage non‐small cell lung cancer by Leyi Chen, Xiang Wang, Ning Xie, Zhongwen Zhang, Xiaowen Xu, Maojie Xue, Yuqing Yang, Liya Liu, Li Su, Maria Bjaanæs, Anna Karlsson, Maria Planck, Johan Staaf, Åslaug Helland, Manel Esteller, David C. Christiani, Feng Chen, Ruyang Zhang

“…Meanwhile, the four‐way interaction improved the discrimination ability for the prognostic prediction model, as indicated by the area under the receiver operating characteristic curve (AUC) for both 3‐ and 5‐year survival. …”
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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“…Machine Learning models with Naive Bayes Classifier algorithms are often used to predict MBTI personalities from Twitter data. However, there is often a class imbalance, with some personality types having a smaller sample. …”
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Interference of a phytoconstituent from Nymphaea lotus-derived ligand N-acetyl glucosamine with signaling receptors in diabetes mellitus development: A targeted computational analy... by Sunday Amos Onikanni, Tran Nhat-Phong Dao, Adewale Oluwaseun Fadaka, Halliru Zailani, Oluwafemi Shittu Bakare, Omolola Esther Amos, Ashwil Klein, Valens Munyembaraga, Morenike Grace Ajayi, Adebola Iyabode Akinjokun, Babatunji Emmanuel Oyinloye, Leandro Miranda-Alves

“…Molecular docking studies, toxicity prediction, examination of drug depiction, and Molecular Dynamics Simulation (MDs) of the ligands with the identified receptor target were conducted using the Schrödinger platform. …”
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Bottom Trawling and Multi‐Marker eDNA Metabarcoding Surveys Reveal Highly Diverse Vertebrate and Crustacean Communities: A Case Study in an Urbanized Subtropical Estuary by Jack Chi‐Ho Ip, Hai‐Xin Loke, Sam King Fung Yiu, Meihong Zhao, Yixuan Li, Yitao Lin, Chun‐Ming How, Jiezhang Mo, Meng Yan, Jinping Cheng, Vincent Chi‐Sing Lai, Leo Lai Chan, Kenneth Mei Yee Leung, Jian‐Wen Qiu

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Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi by Ngatmari Ngatmari, Muhammad Bisri Musthafa, Cahya Rahmad, Rosa Andrie Asmara, Faisal Rahutomo

“…The purpose of PDDIKTI data mining is to conduct early detection of students, so that lecturers can provide input when the students have been classified as students who graduate not on time and predict the number of students who will enter the tertiary institutions in one of the X study programs, so that management both the level of study program and university can take steps that are considered important to increase the number of students. …”
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Macrocytic anemia, kidney dysfunction, and mortality in general population: Japan specific health checkup study by Yoichiro Otaki, Tetsu Watanabe, Tsuneo Konta, Masafumi Watanabe, Koichi Asahi, Kunihiro Yamagata, Shouichi Fujimoto, Kazuhiko Tsuruya, Ichiei Narita, Masato Kasahara, Yugo Shibagaki, Kunitoshi Iseki, Toshiki Moriyama, Masahide Kondo, Tsuyoshi Watanabe

“…Including the anemia type improved the prediction accuracy for all-cause deaths. The participants were divided into eight groups based on the anemia type and CKD. …”
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