A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma by Qiulu Zhong, Xiangde Li, Qinghua Du, Qianfu Liang, Danjing Luo, Jiaying Wen, Haiying Yue, Wenqi Liu, Xiaodong Zhu, Jian Li

“…Three machine learning algorithms were used to construct predictive models for the short-term efficacy of LANPC. …”
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Evaluating reservoir permeability from core data: Leveraging boosting techniques and ANN for heterogeneous reservoirs by Amad Hussen, Tanveer Alam Munshi, Minhaz Chowdhury, Labiba Nusrat Jahan, Abu Bakker Siddique, Mahamudul Hashan

“…All proposed algorithms are systematically ranked based on performance criteria. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…[Results] The study introduced four key innovations to the original Mantis Search Algorithm (MSA): (1) combining Logistic-Tent chaotic mapping for population initialization, ensuring uniform and random distribution of initial solutions to enhance global search capability and convergence speed; (2) nonlinear acceleration factor, refining MSA’s core update formula to transition from global exploration to local exploitation, mitigating local optima entrapment; (3) elite-guided adaptive update strategy, addressing the excessive randomness in the position update strategy when Mantis attacks fail, improving late-stage search efficiency while preserving some randomness; (4) opposition-based learning, generating individuals opposite to the current individual to enhance global optimization. …”
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Nomogram for predicting the severity of high-risk plaques in acute coronary syndrome by Miao-Na Bai, Miao-Na Bai, Miao-Na Bai, Ji-Xiang Wang, Ji-Xiang Wang, Xiao-Wei Li, Xiao-Wei Li, Xiao-Wei Li, Jing-Xian Wang, Jing-Xian Wang, Yu-Hang Wang, Yu-Hang Wang, Yin Liu, Yin Liu, Yin Liu, Jing Gao, Jing Gao, Jing Gao, Jing Gao

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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…We employ a Genetic Algorithm (GA) to optimize portfolios under both criteria. …”
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Integration of software-based cognitive approaches and brain-like computer machinery for efficient cognitive computing by Chitrakant Banchhor, Manoj Kumar Rawat, Rahul Joshi, Dharmesh Dhabliya, Omkaresh Kulkarni, Sandeep Dwarkanath Pande, Umesh Pawar

“…This research, integrates the mining algorithm into English research, which will essentially improve the English legacy problems.…”
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A novel Probabilistic Bi-Level Teaching–Learning-Based Optimization (P-BTLBO) algorithm for hybrid feature extraction and multi-class brain tumor classification using ResNet-50 and... by Mahananda Malkauthekar, Avinash Gulve, Ratnadeep Deshmukh

“…Experimental findings indicate that the P-BTLBO algorithm surpasses conventional optimization methods, including TLBO and PSO, regarding classification accuracy, feature subset size, and computational efficiency. …”
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Plasma cfDNA multi-omic biomarkers profiling for detection and stratification of gastric carcinoma by Shiyi Song, Xiuli Zhang, Pin Cui, Weihuang He, Jiyuan Zhou, Shubing Wang, Yong Xiong, Shu Xu, Xiaohui Lin, Guozeng Huang, Xiaohua Tan, Qinglong Xu, Yongling Liu, Qingqun Li, Kehua Yuan, Mingji Feng, Hanming Lai, Hui Yang, Shaorong Zhang

“…To achieve this, we performed whole-genome sequencing (WGS) to plasma cfDNA of 733 participants, including healthy individuals, patients with benign gastric diseases and GC patients. …”
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The Current Landscape of Scalable Dynamic Graph Processing by Gabriel G. Dos Santos, Cesar A. F. de Rose, Kartik Lakhotia

“…In a dynamic setting, solutions to algorithms need to be updated alongside the graph. However, re-processing the whole graph every time can be infeasible given the size of current graphs. …”
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Predictive for patients with pneumonia in pediatric intensive care unit by Mingxuan Jia, Xiyan Hu, Lin Ji, Jiawen Lin, Jialin Liu, Yong Wang

“…Twelve machine learning algorithms underwent parameter tuning and combination, forming 113 model combinations for survival outcome prediction.ResultsThe “Stepglm [both] + GBM” combination achieved the highest average accuracy (79.4%) in both training and testing sets. …”
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An Enhanced Second-Order Terminal Sliding Mode Control Based on the Super-Twisting Algorithm Applied to a Five-Phase Permanent Magnet Synchronous Generator for a Grid-Connected Win... by Ben ouadeh Douara, Abdellah Kouzou, Ahmed Hafaifa, Jose Rodriguez, Mohamed Abdelrahem

“…The proposed approach combines the second-order terminal sliding mode control technique (SO-STA) with the super-twisting algorithm (STA), with the main goal of benefitting from both their advantages while addressing their limitations. …”
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Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…The availability of reliable and well-curated data to train and validate machine learning algorithms and integrate multiple data sources were described as constraints yet necessary for future clinical implementation. …”
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Digital Metallo‐Supramolecular Chemistry by Aleksandar Kondinski

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An international multicenter retrospective analysis of repeated anti-ENA testing in ANA-associated rheumatic diseases, a data-driven proposal to increase testing efficacy by Wim H.M. Vroemen, Maria Infantino, Mariangela Manfredi, Joyce J.B.C. van Beers, Carolien Bonroy, Jan G.M.C. Damoiseaux

“…In 15227 patients (78.5 %) only one anti-ENA test was performed (79.9 % negative), while 4161 patients (21.5 %) underwent multiple (median [interquartile range (IQR)]; 2 [2–4]) tests with a maximum of 31 tests. …”
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Blockchain digital forensics: technology and architecture by FAN Wei, LI Haibo, ZHANG Zhujun

“…This framework integrated evidence information into the on-chain data structure and introduced a complementary graph analysis algorithm to standardize evidence collection across various scenarios. …”
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Generation of Julia Sets for a Novel Class of Generalized Rational Functions via Generalized Viscosity Iterative Method by Iqbal Ahmad, Ahmad Almutlg

“…This approach enhances existing algorithms, enabling the visualization of intricate fractal patterns as Julia sets. …”
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Staking out the unclear ethical terrain of online social experiments by Cornelius Puschmann, Engin Bozdag

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Evaluating Customer Segmentation Techniques in the Retail Sector by Nur Diyabi, Duygu Çakır, Ömer Melih Gül, Tevfik Aytekin, Seifedine Kadry

“…DBSCAN showed strengths in identifying non-spherical clusters, while GMM and SOM provided more granular segmentation. …”
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Wrapped Up in the Cis-Tem by Christoffer Koch Andersen

“… Algorithms pervade our reality and promise to universally enhance our lives, but what happens when this promise is reserved for cisgender people while subjecting trans people to legacies of anti-trans violence that implicate trans liveability? …”
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Hierarchical Deep Learning Model Optimization Using Enhanced Evolutionary-based Approach for Fake News Detection by Deepti Nikumbh, Anuradha Thakare

“…In comparison to manually designed HDLM, the proposed approach achieves up to 97.86% model compression with a 0.34% accuracy improvement, while a variant achieves 96.24% compression with a 0.23% accuracy improvement. …”
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