Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology by Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim

“…Upon further validation in independent cohorts, this gene signature could be developed into a predictive test that can support clinical evaluation and patient care.…”
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Optimizing the safety-efficiency trade-off on nationwide air traffic network flow using cooperative co-evolutionary paradigm by Mingming Xiao, Chen Hong, Kaiquan Cai

“…And then, the corresponding 3 sub-populations are co-evolved based on a Cooperative Co-evolution (CC) paradigm. Four different-scale ATNFO problems are solved with H-COEA and the state-of-the-art multi-objective evolutionary algorithms. …”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…The plus tree population in Xiaobeihu exhibits a considerable degree of genetic diversity, with no notable genetic differentiation. The construction of production populations via the developed SSR markers in combination with cone production from plus trees results in a reasonable population size and a mating system, thereby providing a scientific basis and technical support for the evaluation of Pinus koraiensis germplasm resources and advanced-generation improvement efforts. …”
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Design of Periodic Neural Networks for Computational Investigations of Nonlinear Hepatitis C Virus Model Under Boozing by Abdul Mannan, Jamshaid Ul Rahman, Quaid Iqbal, Rubiqa Zulfiqar

“…We employ periodic neural networks, optimized using a hybrid genetic algorithm and the interior-point algorithm, to solve a system of six coupled nonlinear differential equations representing hepatitis C virus dynamics. …”
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Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators by Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

“…This paper demonstrates the power of differentiability for solving MOO problems in particle accelerators using a deep differentiable reinforcement learning (DDRL) algorithm. …”
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Characteristic genes and immune infiltration analysis of gastric cancer based on bioinformatics analysis and machine learning by Chengwei Xia, Yini Liu, Xin Qing

“…Next, after applying the three algorithms (LASSO, RandomForest, and SVM-RFE) to analyze these overlapping genes and take the intersection, we established a GC diagnosis. …”
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Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…Experimental results demonstrate that our algorithm dramatically improves the popular least-recently used (LRU) algorithm. …”
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Research on Two-Stage Data Compression at the Acquisition Node in Remote-Detection Acoustic Logging by Xiaolong Hao, Yangtao Hu, Bingnan Yan, Hang Hui, Yunxia Chen, Bingqi Zhang

“…This approach includes a field programmable gate array (FPGA)-based hardware system and a two-stage downhole data compression algorithm combining wavelet transform and adaptive differential pulse-code modulation paired with ground decompression software. …”
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A Study on the Spatial Renewal of Atypical Traditional Villages Based on Modular Intelligent Grouping—Yuguang Village in China as an Example by Zao Li, Xiao Guo, Qiang Wang, Geng Cheng, Hanyue Tong

“…The application results of the methods above show that, based on the regional setting of spatial combination and the differential analysis of spatial distribution, intelligent organization technology can weaken the dual separation status of traditional and modern, and realize the targeted and reasonable evaluation of spatial transition and synergistic effect. …”
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Impossible differential cryptanalysis of reduced-round <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><msup><mrow><mi mathvariant="bold-... by DU Xiaoni, YU Tian, JIA Meichun, LIANG Lifang

“…></graphic></alternatives></inline-formula> algorithm in impossible differential cryptanalysis, a 9-round impossible differential distinguisher of <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M9"><msup><mrow><mi>μ</mi></mrow><mrow><mn mathvariant="normal">2</mn></mrow></msup></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/22C9D519-EA4F-4e54-A8CF-1ACB826F2179-M008.jpg"><?…”
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Stellar Population Properties in the Stellar Streams around SPRC047 by Seppo Laine, David Martínez-Delgado, Kristi A. Webb, Mohammad Akhlaghi, Roberto Baena-Gallé, Sanjaya Paudel, Michael Stein, Denis Erkal

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Revisiting the Control Systems of Autonomous Vehicles in the Agricultural Sector: A Systematic Literature Review by Vinayambika S. Bhat, Yong Wang

“…This approach enhances clarity in understanding algorithm suitability, adaptability, and scalability across different agricultural settings. …”
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Methods of controlling the course for an self-driving grader by R. Yu. Sukharev

“…The construction machine closest in terms of control algorithm to an unmanned vehicle is an auto grader. …”
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Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospecti... by Huachao Sui, Mo Xiao, Xueqing Jiang, Jiaye Li, Feng Qiao, Bin Yin, Yuanyuan Wang, Ligeng Wu

“…Calibration curves, receiver operating characteristic curves, and decision curve analyses were employed to evaluate the accuracy of the predictions, differentiation, and clinical usefulness of the models, respectively. …”
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Evaluation of the innate immunostimulatory potential of originator and non-originator copies of insulin glargine in an in vitro human immune model. by Ernesto Luna, Pankaj Agrawal, Riyaz Mehta, Maria E Boone, Charlotte Vernhes, Colombe Denys, Robert Small, Bhaswati Mukherjee, Norbert Tennagels, Stefan Maerten, Donald R Drake

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Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach by Maryam Abbasalizadeh, Sashank Narain

“…Utilizing the Forward algorithm, our system quantifies privacy risks, enabling users to revise inputs prior to submission and thereby enhancing data privacy. …”
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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

“…Methods In this study, the expression patterns of glycolysis-related genes (GRGs) were first analyzed using the GSE30122, GSE30528, and GSE96804  datasets, followed by an evaluation of the immune landscape in DN. An unsupervised consensus clustering of DN samples from the same dataset was conducted based on differentially expressed GRGs. …”
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Evaluation of Left Ventricular Rotation Using Speckle Tracking Technique in Echocardiographic Images of Coronary Artery Stenosis Patients by Zeinab Alsadat Ahmadi, Manijhe Mokhtari-Dizaji, hamideh khesali

“…Introduction: Computed Tomography (CT) is nowadays used widely to differentiate normal brain cranium sutures from abnormal ones in pediatric patients with the aim of early treatment. …”
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Theoretical understanding of gradients of spike functions as boolean functions by DongHyung Yoo, Doo Seok Jeong

“…Abstract Applying an error-backpropagation algorithm to spiking neural networks frequently needs to employ fictive derivatives of spike functions (popularly referred to as surrogate gradients) because the spike function is considered non-differentiable. …”
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Clinical Value Evaluation of SKA3 in Endometrial Cancer and Its Promotion of Proliferation and Migration of Endometrial Cancer Cells by Xiaoxing Ding, Yue Zhang, Jiayun Qin, Yu Zhang, Jinwei Zhang

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