Associations between age, red cell distribution width and 180-day and 1-year mortality in giant cell arteritis patients: mediation analyses and machine learning in a cohort study by Si Chen, Rui Nie, Xiaoran Shen, Yan Wang, Haixia Luan, Xiaoli Zeng, Yanhua Chen, Hui Yuan

“…Furthermore, SHAP analysis revealed that both age and RDW levels made significant contributions to the prediction of mortality in GCA patients hospitalized or admitted to the ICU. …”
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Oxidative potential determines the oxidative stress and ferroptotic toxicity of airborne particulate matter on pulmonary epithelial cells by Bingxue Nie, Daoqiang Zhang, Xin Liu, Chengying Lei, Zhiruo Li, Nan Zhang, Shuping Zhang, Yiju Wei, Jie Zhang

“…In this study, we compared two kinds of commercial PM with real PM to explore an index which takes account of both the diverse physicochemical properties of PM and accurate prediction of their toxicities. Our results indicated that the oxidative potential (OP) of PM significantly affects their cytotoxicity. …”
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Crack propagation and CT imaging of internal cracks in rocks damaged by pre-compression under explosive loading by Qiangqiang Zheng, Pingfeng Li, Ying Xu, Bing Cheng, Hao Hu, Hao Shi, Shoudong Xie

“…A theoretical model for predicting blast-induced crack propagation radius in damaged sandstone is established and validated through integrated laboratory blast experiments, CT scanning, and PFC-2D numerical simulations, demonstrating a prediction error margin below 5%. …”
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Intervening Non-Small-Cell Lung Cancer Progression by Cell Membrane Coated Platycodin D via Regulating Hsa-miR-1246/FUT9/GSK3β Pathway by Zheng S, Xie Z, Zhou Z, Wang S, Xin Y, Lin J, Cheng K, Lu T, Qi R, Guo Y

“…MicroRNAs (miRNAs) expression was profiled, and their roles were investigated using miRNA mimics or inhibitors. Predicted miRNA targets were validated via dual-luciferase reporter assays and Western blotting following bioinformatic prediction. …”
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Efficacy of non-invasive brain stimulation interventions on cognitive impairment: an umbrella review of meta-analyses of randomized controlled trials by Minmin Wu, Wenjing Song, Xue Wang, Lili Teng, Jinting Li, Jiongliang Zhang, Xinyue Li, Donghui Yu, Huanhuan Jia, Binhan Wang, Qiang Tang, Luwen Zhu

“…Effect sizes, 95% confidence intervals (CIs), and prediction intervals were computed for each meta-analysis. …”
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Evaluation method and application for in-situ stress in No. 8+9 coal seam, southern Shenfu block, northeastern margin of Ordos Basin by Jiawei WU, Wei TANG, Yanhe ZHU, Cunwu WANG, Yongjing TIAN, Jingyu ZI, Jianghao YANG, Xian SHI

“…Considering the distribution of natural fractures with an average NNW orientation during different tectonic stages, as well as the propagation pattern of NNE-oriented vertical hydraulic fractures under the normal faulting stress state with NNE-oriented maximum principal horizontal stress in the eastern fracture prediction area, it was recommended to deploy horizontal cluster wells within the azimuthal interval perpendicular to the current NNE-oriented maximum horizontal principal stress direction and the average NNW-oriented natural fracture direction. …”
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Risk factors for the delayed discharge from anesthesia intensive care unit: a single-center retrospective study by Yue Qian, Jing Hao, Wei Zhu, Yan Yang, Zhuan-yun Zhang, Lu-yang Zhou, Xiao-ping Gu, Zheng-liang Ma, Yu-e Sun

“…Nomogram was constructed to predict the risk of delayed discharge from AICU. The performance of the nomogram was assessed using the receiver operating characteristic curve and calibration curve. …”
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Prediksi Produksi Biofarmaka Menggunakan Model Fuzzy Time Series dengan Pendekatan Percentage Change dan Frequency Based Partition by Dwi Ekasari Harmadji, Solikhin Solikhin, Uky Yudatama, Agus Purwanto

“…Ginger, Galangal, Kencur, and turmeric are predicted to be the most important rhizomes for biopharmaca research in Indonesia. …”
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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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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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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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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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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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Film Recommender System Menggunakan Metode Neural Collaborative Filtering by Ni’mah Khoiriyah Ayyiyah, Retno Kusumaningrum, Rismiyati Rismiyati

“…The recommendation system will help users find items based on their respective interests by providing predictions. The recommender system will help a user find an item based on their respective interests by providing predictions of several items based on user preferences derived from the user's assessment history of the item. …”
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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…Based on the tests that have been carried out, the difference in value between the actual data and the prediction results in the size of the MAPE average value of 11.90%, which shows a fairly small error value. …”
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A new prognostic model based on serum apolipoprotein AI in patients with HBV-ACLF and acutely decompensated liver cirrhosis by Ruidong Mo, Zhenglan Zhang, Yanmei Zhou, Yue Wang, Pengbo Yin, Chenxi Zhang, Haoshuang Fu, Cong Qian, Xiaogang Xiang, Rongkun Yin, Qing Xie

“…Conclusion In HBV-ACLF and AD patients, lower serum apoAI levels suggest greater disease severity and 90-day mortality risk. For predicting the short-term prognosis of these patients, the new Lip-ACLF score might serve as a potential model.…”
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