Deciphering the role of flutamide, fluorouracil, and furomollugin based ionic liquids in potent anticancer agents: Quantum chemical, medicinal, molecular docking and MD simulation... by Danish Ali, Muhammad Arif Ali, Muhammad Sarfraz, Afifa Yousuf, Rasham Zulfiqar, Abdul Rauf, Hong-Liang Xu, Muhammad Arshad

“…Such as, toxicity evaluation based on the TOX21 pathway confirmed the non-toxic attributes of these ILs, bolstering their potential as antitumor drugs. The metabolic prediction for [FM1]+ was consistent with its expected behavior in the biological system with its likelihood ranging from 89 % to 83 %. …”
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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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Targeting aldose reductase using natural African compounds as promising agents for managing diabetic complications by Miriam E. L. Gakpey, Shadrack A. Aidoo, Toheeb A. Jumah, George Hanson, Siyabonga Msipa, Florence N. Mbaoji, Omonijo Bukola, Palesa C. Tjale, Mamadou Sangare, Hedia Tebourbi, Olaitan I. Awe

“…The ADMET and protein-ligand interaction results revealed that these compounds interacted with key inhibiting residues through hydrogen and hydrophobic interactions and demonstrated favorable pharmacological and low toxicity profiles. Prediction of biological activity highlighted Zinc000095485961 and 1,6-di-o-p-hydroxybenzoyl-beta-d-glucopyranoside as having significant inhibitory activity against aldose reductase. …”
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Proteomics unveil candidate biomarkers and pathogenesis of subacute thyroiditis by Litong Ran, Xiufei Liu, Yongfeng Tian, Jiaran Zhu, Zhengyuan Gong, Qiao Qiao, Xin Jiang, Yuren Wang, Guojun Yang, Hongting Zheng, Yi Zheng, Hua Qu

“…Thus, these high-abundance proteins can potentially serve as biomarkers for SAT diagnosis and outcome prediction. Our findings provide valuable insights into SAT biomarkers and shed light on the potential pathogenesis and therapeutic targets of SAT.…”
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Assessment of the influence of gap wall mobility factor at calculation of leakage in working section of a scroll compressor. Part 1 by V. A. Pronin, A. V. Kovanov, V. A. Tsvetkov, E. N. Mikhailova, E. A. Kalashnikova

“…In this case relevance consists in increase of accuracy of compressor losses calculation and prediction of refrigeration machine characteristics. …”
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Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study by Kuganya Nirmalarajah, Patryk Aftanas, Shiva Barati, Emily Chien, Gloria Crowl, Amna Faheem, Lubna Farooqi, Alainna J. Jamal, Saman Khan, Jonathon D. Kotwa, Angel X. Li, Mohammad Mozafarihashjin, Jalees A. Nasir, Altynay Shigayeva, Winfield Yim, Lily Yip, Xi Zoe Zhong, Kevin Katz, Robert Kozak, Andrew G. McArthur, Nick Daneman, Finlay Maguire, Allison J. McGeer, Venkata R. Duvvuri, Samira Mubareka

“…Conclusions Viral genomic features have limited utility in predicting hospitalization across SARS-CoV-2 diversity. …”
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Identification of Staphylococcus aureus, Enterococcus faecium, Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii from Raman spectra by Artificial Intelligen... by Yu-Tzu Lin, Hsiu-Hsien Lin, Chih-Hao Chen, Kun-Hao Tseng, Pang-Chien Hsu, Ya-Lun Wu, Wei-Cheng Chang, Nai-Shun Liao, Yi-Fan Chou, Chun-Yi Hsu, Yu-Hui Liao, Mao-Wang Ho, Shih-Sheng Chang, Po-Ren Hsueh, Der-Yang Cho

“…This finding confirms the clinical utility of the system while laying a solid foundation for the future development of antimicrobial resistance prediction models.…”
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Serum advanced glycation end products as a putative biomarker in Type2 DKD patients’ prognosis by Ze-Hou Wang, Ze-Hou Wang, Zong-Jin Zhang, Yue-Fen Wang, Jin Xie, Jin Xie, Yi-Min Li, Cun Shen, Yuan Meng, Wen-Jing Zhao, Lu-Ying Sun, Wei Jing Liu

“…This study introduced corrected lgAGEs [novel biomarker derived by adjusting logarithmically transformed AGEs (lgAGEs) levels based on serum albumin (ALB) levels] to enhance the prediction of adverse renal outcomes in patients with type 2 DKD (T2DKD).MethodsIn this prospective cohort study, 196 T2DKD patients were followed up longitudinally. …”
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Application of copy number variation sequencing combined with whole exome sequencing in prenatal left–right asymmetry disorders by Yu Qin, Muon Senglong, Koksear Touch, Juan Xiao, Ruijie Fang, Qingling kang, Lei Fan, Shufang Li, Jing Liu, Jianli Wu, Yuanyuan Wu, Xinwei Shi, Haiyi Liu, Xun Gong, Xingguang Lin, Ling Feng, Suhua Chen, Wei Li

“…Further bioinformatics scrutiny was conducted to assess the protein structure and function prediction of these variants, ultimately indicating their potential pathogenicity. …”
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Efficacy and safety of PD-1/PD-L1 inhibitors in advanced or recurrent endometrial cancer: a meta-analysis with trial sequential analysis of randomized controlled trials by Ji Ren, Jinghe Wang, Yanan Wang, Dongying Yang, Jianming Sheng, Shili Zhu, Yunli Liu, Xiaoqi Li, Wei Liu, Binbin Zhang

“…To evaluate heterogeneity, we employed Cochran’s Q test, I2 statistics, and 95% prediction intervals (PIs). Trial sequential analysis (TSA) was conducted using R Version 4.3.1, STATA Version 12.0, and TSA Version 0.9.5.10 Beta software.ResultsOur analysis incorporated 6 studies, encompassing a total of 2,954 patients. …”
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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

“…The random forest (RF) model was developed and displayed good prediction performance with an R2 of 0.84 and 0.78 for PM2.5 and PM2.5-10 on the test set, respectively. …”
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BIJAKAWEB: Platform Berbasis Web Untuk Deteksi Hate Speech Pada Komentar Berita Bahasa Indonesia by Moh. Firdaus, Permata Nur Miftahur Rizki

“…This research has produced several significant contributions, including the availability of a new dataset for relevant research, a fine-tuned IndoBERT model accessible to the public on HuggingFace, and the development of the BijakaWeb platform using the full-stack Django framework, capable of real-time scraping and hate speech prediction. It is hoped that this research can assist news portals in moderating online news comments to combat hate speech and provide a model that can be used and adapted by other online news platforms to prevent the spread of hate speech on the internet.   …”
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Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model by Yaa Obirikorang, Christian Obirikorang, Emmanuel Acheampong, Enoch Odame Anto, Daniel Gyamfi, Selorm Philip Segbefia, Michael Opoku Boateng, Dari Pascal Dapilla, Peter Kojo Brenya, Bright Amankwaa, Evans Asamoah Adu, Emmanuel Nsenbah Batu, Adjei Gyimah Akwasi, Beatrice Amoah

“…Overall, the five HBM constructs explained 31.7% of the variance in noncompliance to AHT with a prediction accuracy of 77.5%, after adjusting for age, gender, and duration of condition. …”
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Evaluation of the Prognostic Value of Red Cell Distribution Width to Total Serum Calcium Ratio in Patients with Acute Pancreatitis by Tian-Yong Han, Tao Cheng, Bo-Fu Liu, Ya-Rong He, Pan Pan, Wen-Tao Yang, Qiang-Lai, Yu Cao

“…The objective of the study was to evaluate whether RDW/TSC can be used to predict the prognosis of patients with AP at an early stage. …”
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Differentiation between glioblastoma and solitary brain metastases using perfusion and amide proton transfer weighted MRI by Malte Knutsson, Tim Salomonsson, Faris Durmo, Emelie Ryd Johansson, Anina Seidemo, Jimmy Lätt, Anna Rydelius, Sara Kinhult, Elisabet Englund, Johan Bengzon, Peter C. M. van Zijl, Peter C. M. van Zijl, Linda Knutsson, Linda Knutsson, Linda Knutsson, Pia C. Sundgren, Pia C. Sundgren, Pia C. Sundgren

“…Combinations of nAPTwmax + ncCBVmax, nAPTwmean + ncCBVmean, nAPTwmax + nCBFmax, nAPTwmax + K2max and nAPTwmax + ncCBVmax + K2max in ET showed significant prediction in differentiating GBM and MET (AUC = 0.92, 0.82, 0.92, 0.85, and 0.92 respectively).ConclusionWhen assessed in Gd-enhanced tumor areas, nAPTw MRI signal intensity alone or combined with DSC-MRI parameters, was an excellent predictor for differentiating GBM and MET. …”
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Integrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery by Arda Halu, Sarvesh Chelvanambi, Julius L. Decano, Joan T. Matamalas, Mary Whelan, Takaharu Asano, Namitra Kalicharran, Sasha A. Singh, Joseph Loscalzo, Masanori Aikawa

“…We validate the drugs predicted in our proofs-of-concept using real-time polymerase chain reaction (qPCR) experiments. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…YOLOv4 is a widely used OD model with a backbone for image feature extraction and a prediction layer. Originally, YOLOv4 was designed to use CSPDarkNet53 as its backbone, which requires significant computational power. …”
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Low-grade systemic inflammation, but not neuroinflammation, is associated with 12-month postoperative outcome after total hip arthroplasty in patients with painful osteoarthritis:... by Morten R. Blichfeldt-Eckhardt, Claus Varnum, Jørgen T. Lauridsen, Lasse E. Rasmussen, Winnie C. P. Mortensen, Hanne I. Jensen, Henrik B. Vaegter, Kate L. Lambertsen

“…Aims: Better prediction of outcome after total hip arthroplasty (THA) is warranted. …”
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