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 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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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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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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Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients by Duo Shen, Ling Sha, Ling Yang, Xuefeng Gu

“…This study aimed to develop and validate a predictive model for the occurrence of multiple complications (three or more) in patients with HBC and to explore the effects of multiple complications on HBC prognosis. …”
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Hypervirulent Klebsiella pneumoniae have better clinical outcomes than classical Klebsiella pneumoniae for lower respiratory tract infection patients by Xianxia Zhuo, Zichen Lei, Danni Pu, Yongli Wu, Jiankang Zhao, Bin Cao

“…Conclusions These findings suggest that capsule serotype is a more accurate factor for the prediction of the virulence phenotype, while hvKp have better clinical outcomes than cKp for LRTI patients. …”
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Quo vadis autoimmune hepatitis? - Summary of the 5th international autoimmune hepatitis group research workshop 2024Keypoints by Bastian Engel, David N. Assis, Mamatha Bhat, Jan Clusmann, Joost PH. Drenth, Alessio Gerussi, María-Carlota Londoño, Ye Htun Oo, Ida Schregel, Marcial Sebode, Richard Taubert

“…The specific objectives of this year's 5th Workshop were: (1) To further improve diagnostics. (2) Initiate clinical trials including knowledge transfer on drugs from extrahepatic immune-mediated diseases, including B cell-depleting CAR T cells. (3) Utilisation of multi-omics approaches to improve the understanding of disease pathogenesis. (4) Application of machine learning-based approaches established in oncology or transplantation medicine to improve diagnosis and outcome prediction in AIH.…”
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Evaluation of the WRF-CMAQ Model Performances on Air Quality in China with the Impacts of the Observation Nudging on Meteorology by Jiali Li, Shaocai Yu, Xue Chen, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Weiping Liu, Pengfei Li, Min Xie, Jia Xing

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QUIET WARRIOR – Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR) by Osama Dasa, Eileen Handberg, Damini Dey, Pinaki Sarder, Margaret C. Lo, Balaji K. Tamarappoo, Steven M. Smith, Leslee J. Shaw, C. Noel Bairey Merz, Carl J. Pepine

“…The QUIET WARRIOR sub-study aims to improve predictive tools for adverse outcomes by detailed analysis of Coronary Computed Tomography Angiography (CCTA) data and biorepository samples. …”
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Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN by Dengyi Wang, Ming Peng, Liu Liu, Xiongyao Xie, Zhenming Shi, Yaoying Liang, Jian Shen, Qiyu Wu

“…The network demonstrates superior training convergence and prediction accuracy due to information sharing between different task heads, compared to a two-classification network with the same Res-Net backbone. …”
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Very low urinary marinobufagenin excretion reflects a high risk of disease progression in non-advanced CKD by Davide Bolignano, Davide Bolignano, Marta Greco, Marta Greco, Loredana Tripodi, Mario D’Agostino, Paola Cianfrone, Roberta Misiti, Roberta Misiti, Sara Pugliese, Mariateresa Zicarelli, Michela Musolino, Michela Musolino, Daniela Patrizia Foti, Daniela Patrizia Foti, Michele Andreucci, Michele Andreucci, Giuseppe Coppolino, Giuseppe Coppolino

“…BackgroundChronic kidney disease (CKD) has now reached pandemic proportions but risk prediction towards end-stage kidney disease (ESKD) remains challenging. …”
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Comparative analysis of the intestinal flora of Siniperca chuatsi at different growth stages under three feeding practices by Yunyun Yan, Fubao Wang, Xiao Chen, Junjian Dong, Fengying Gao, Hetong Zhang, Xing Ye, Chengbin Wu, Chengfei Sun

“…At three months of age, the α-diversity was significantly higher in the compound feed group compared to the mixed diet group or live bait group (p < 0.05). Functional prediction revealed that the carbohydrate metabolism pathway was most enriched in the compound feed group, while the amino acid metabolism pathway was most enriched in the live bait group. …”
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