A Fast Image Encryption Scheme Based on a Four-Dimensional Variable-Parameter Hyperchaotic Map and Cyclic Shift Strategy by Guidong Zhang, Yanhao Zhao, Yanpei Zheng, Yulin Shen, Jun Huang

“…Furthermore, to more accurately evaluate the algorithm’s resistance to differential attacks, we introduce improved metrics—namely, BL-NPCR and BL-UACI—which measure the subtle differences between encrypted images at the binary level. …”
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Multistage Threshold Segmentation Method Based on Improved Electric Eel Foraging Optimization by Yunlong Hu, Liangkuan Zhu, Hongyang Zhao

“…To evaluate the segmentation performance of the proposed MIEEFO, 15 benchmark functions are used, and comparisons are made with seven other algorithms. …”
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Securing Electrical Drive Systems Against Man-in-the-Middle Attacks Using S-Box Optimized AES Encryption by J. Dheeba, Vansh Oberoi, R. Raja Singh, V. Gautam Karthik

“…The optimized S-box is generated using the Differential Evolution (DE) algorithm for encrypting data within the communication network to mitigate data visibility. …”
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Research on side-channel attacks and defense methods for IoT devices by HE Lesheng, FENG Yi, YUE Yuankang, YANG Chongyu, HU Chonghui

“…A two-round correlated energy attack targeting lightweight encryption algorithms was also designed. By evaluating the confidence of the correct key correlation coefficient, after 10 000 attacks on 3 000 power consumption traces of the PRESENT algorithm, a success rate of over 96% is achieved, with the mean correlation of the correct key exceeding 0.6. …”
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Apollon Mark: bounce mark visualization system for ball sports judgement using prediction-based preceding mirror control by Himari Tochioka, Tomohiro Sueishi, Masatoshi Ishikawa

“…The system then enables bounce mark visualization by simple differential processing between the before and after images with a template-matching image processing algorithm. …”
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Efficient control strategy for electric furnace temperature regulation using quadratic interpolation optimization by Serdar Ekinci, Davut Izci, Veysel Gider, Laith Abualigah, Mohit Bajaj, Ievgen Zaitsev

“…To ensure optimal performance, the parameters of the RPIDD2 controller are optimized using metaheuristic algorithms, including the flood optimization algorithm (FLA), reptile search algorithm (RSA), particle swarm optimization (PSO) and differential evolution (DE). …”
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Potential Metabolic Markers in the Tongue Coating of Chronic Gastritis Patients for Distinguishing Between Cold Dampness Pattern and Damp Heat Pattern in Traditional Chinese Medici... by Yuan S, Zhang R, Zhu Z, Zhou X, Zhang H, Li X, Hao Y

“…Finally, the effect of the binary classifier was evaluated by drawing the receiver operating characteristic curve (ROC curve) and calculating the area under the curve (AUC), and the combination with the highest AUC was selected as the optimal diagnostic model.Results: Twenty significant differential metabolites emerged (P< 0.05). …”
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Systematic pan-cancer analysis identifies PKNOX1 as a potential prognostic and immunological biomarker and its functional validation by Kan Liu, Yongkang Xu, Ye Mao, Shumin Fu, Shenglan Huang, Jianbing Wu

“…Its potential as a cancer prognostic marker and therapeutic target has not yet been explored.MethodsThe TCGA and GTEx databases were used to evaluate the differential expression of PKNOX1 pan-cancer, and PKNOX1 gene mutation information was obtained from the cBioPortal and GSCALite platforms. …”
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Toward Next-Generation Biologically Plausible Single Neuron Modeling: An Evolutionary Dendritic Neuron Model by Chongyuan Wang, Huiyi Liu

“…This paper proposes a Reinforced Dynamic-grouping Differential Evolution (RDE) algorithm to enhance synaptic plasticity within the DNM framework. …”
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Compression Sensing Satellite Image Pixel Scrambling Scheme using Unique Seed Generation for Intra-Block Confusion with LP Rotation Mechanism by Ram Chandra Barik, Devendra Kumar Yadav, Pragyan Mishra

“…Empirical validation of the model includes differential attack analysis, correlation analysis, entropy analysis, and comparative evaluation with recent state-of-the-art algorithms, demonstrating its superior efficacy in ensuring secure and efficient satellite image encryption.…”
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Signatures of Six Autophagy‐Related Genes as Diagnostic Markers of Thyroid‐Associated Ophthalmopathy and Their Correlation With Immune Infiltration by Qintao Ma, Yuanping Hai, Jie Shen

“…Six DSGs were identified by three algorithms. They were validated in another independent validation dataset. …”
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MODERN CAPABILITIES OF BREAST PATHOLOGY DIAGNOSTICS by I. V. Vysotskaya, N. V. Zabolotskaya, V. P. Letyagin, K. P. Laktionov, K. A. Chubarova, N. V. Levkina

“…Choice of appropriate tactics of treatment depends on the timely diagnosis and correct assessment of the prevalence of cancer.The algorithm of patient»s examination includes clinical examination, X-ray mammography and ultrasonic diagnosis of breast. …”
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Identifying and Validating an Acidosis-Related Signature Associated with Prognosis and Tumor Immune Infiltration Characteristics in Pancreatic Carcinoma by Pingfei Tang, Weiming Qu, Dajun Wu, Shihua Chen, Minji Liu, Weishun Chen, Qiongjia Ai, Haijuan Tang, Hongbing Zhou

“…We attempted to develop an acidosis-related index (ARI) signature to improve the prognostic prediction of pancreatic carcinoma (PC). Methods. Differential gene expression analyses of two public datasets (GSE152345 and GSE62452) from the Gene Expression Omnibus database were performed to identify the acidosis-related genes. …”
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Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach by Tianshu Chen, Yuhan Yang, Zhizhong Huang, Feng Pan, Zhendi Xiao, Kunxue Gong, Wenguang Huang, Liu Xu, Xueqin Liu, Caiyun Fang

“…Methods Utilizing transcriptomic data from TCGA-UCEC and GSE119041 datasets, we employed a comprehensive approach involving 117 machine learning algorithms. Key methodologies included differential gene expression analysis, weighted gene co-expression network analysis, functional enrichment studies, immune landscape evaluation, and multi-dimensional risk stratification. …”
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Harmonic oscillator based particle swarm optimization. by Yury Chernyak, Ijaz Ahamed Mohammad, Nikolas Masnicak, Matej Pivoluska, Martin Plesch

“…This physics-based approach allows smoother convergence throughout the optimization process and wider tunability options. We evaluated our method on a standard set of test functions and demonstrated that, in most cases, it outperforms its natural competitors, including the original PSO, as well as commonly used optimization methods such as COBYLA and Differential Evolution.…”
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Hyperchaotic System-Based PRNG and S-Box Design for a Novel Secure Image Encryption by Erman Özpolat, Vedat Çelik, Arif Gülten

“…A new image encryption algorithm was designed using the PRNG and S-box, and its performance was evaluated on 512 × 512 grayscale images, including the commonly used baboon and pepper images. …”
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MAP17 is a Novel NASH Progression Biomarker Associated with Macrophage Infiltration, Immunotherapy Response, and Oxidative Stress by Huang Z, Chen J, Liu S, Xiang X, Long Y, Tan P, Fu W

“…Our further analyses included differential expression evaluation, protein-protein interaction (PPI) network analysis, and Venn diagram analysis to discover novel targets. …”
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Machine Learning to Select Experiments Driven by Fundamental Science and Applications for Targeted Nuclear Data Improvement by D. Neudecker, T. E. Cutler, M. Devlin, P. Brain, N. Gibson, M. J. Grosskopf, M. W. Herman, J. Hutchinson, T. Kawano, A. Khatiwada, N. Kleedtke, E. Leal-Cidoncha, R. C. Little, A. E. Lovell, A. Stamatopoulos, E. C. Thompson, S. A. Vander Wiel, E. Williamson

“…In this field, fundamental-physics driven data, called differential, look at one nuclear physics observable at a time. …”
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The role of MRO as an M2 macrophage-associated gene in non-small cell lung cancer: insights into immune infiltration, prognostic significance, and therapeutic implications by Yue Gu, Miaosen Zheng, Jing Xie

“…Methods NSCLC samples from The Cancer Genome Atlas (TCGA) were analyzed using the CIBERSORT algorithm to quantify immune cell compositions. Differential gene expression and correlation studies examined MRO’s association with M2 macrophages. …”
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Mathematical modeling of the initial stage of a fire in the storage of military equipment and weapons by A. L. Akhtulo, L. N. Akhtulova, A. E. Lyubako, L. A. Ivanova

“…The article dwells on the basic models of a fire, allow to evaluate the influence of dangerous factors of fire: an integral model; differential (field) model. …”
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