DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model by Fatma S. Alrayes, Hamed Alqahtani, Wahida Mansouri, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Mahmud

“…Besides, the Golden Jackal Optimization (GJO) model can be applied for the optimal hyperparameter tuning of the improved ShuffleNetv2 model. …”
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Optimizing Cost-Effective gene expression phenotyping approaches in cattle using 3′ mRNA sequencing by Ruwaa I. Mohamed, Taylor B. Ault-Seay, Sonia J. Moisá, Jonathan E. Beever, Agustín G. Ríus, Troy N. Rowan

“…The rapidly declining cost of next-generation sequencing presents opportunities for population-level molecular phenotyping. …”
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Improved CAR internalization and recycling through transmembrane domain optimization reduces CAR-T cytokine release and exhaustion by Shufeng Xie, Shufeng Xie, Jinlan Long, Ruiheng Wang, Ruiheng Wang, Rufang Xiang, Rufang Xiang, Huajian Xian, Yixin Wang, Weiyu Dou, Wenjie Zhang, Dan Li, Ting Kang, Zhihong Chen, Zhihong Chen, Chunjun Zhao, Zhenshu Xu, Han Liu

“…Through co-culture with tumor cells, we evaluate CAR dynamic change, activation levels, exhaustion markers, mitochondrial function, and differentiation in both CAR-T cells. …”
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A Data Decomposition and End-to-End Optimization-Based Monthly Carbon Emission Intensity of Electricity Forecasting Method by Yue Yan, Haoran Feng, Jinwei Song, Shixu Zhang, Shize Zhang, Qi He

“…To ensure that the decomposed data effectively improves the predictor’s performance, we propose an end-to-end optimization strategy. This strategy feeds back the predictor’s performance on actual monthly data as optimization target to the generator and uses differential evolution algorithms (DEA) to optimize and adjust the decomposed data. …”
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Estimation of the Time of Occurrence of the Maximum Electrical Demand by Selecting the Optimal Classification Model and Making Use of Unbalanced Data by César Aristóteles Yajure, Valesca M. Fuenzalida Sánchez

“… Studies on electricity demand forecasting usually focus on the magnitude of the variable, however, the methodology used in this study also addresses the time at which the peak demand occurs, crucial for planning energy generation, smoothing the demand peaks and establishing differentiated rates. …”
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Single spike mutation differentiating XBB.1 and XBB.1.5 enhances SARS-CoV-2 cell-to-cell transmission and facilitates serum-mediated enhancement by Elena Criscuolo, Benedetta Giuliani, Matteo Castelli, Mattia Cavallaro, Sofia Sisti, Roberto Burioni, Davide Ferrari, Nicasio Mancini, Massimo Locatelli, Nicola Clementi, Nicola Clementi

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Myocardium-to-cavity ratio derived from simultaneous 99mTc-PYP/201Tl dual-isotope SPECT imaging to differentially diagnose transthyretin cardiac amyloidosis by Shozo Yamashita, Kenichi Nakajima, Teppei Kitano, Hiromu Kato, Tatsuya Yoneyama, Haruki Yamamoto, Kunihiko Yokoyama

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Applications of Snow Ablation Optimizer for Sustainable Dynamic Dispatch of Power and Natural Gas Assimilating Multiple Clean Energy Sources by Subhamay Basu, Mousumi Basu, Chitralekha Jena, I. M. Elzein, Wulfran Fendzi Mbasso, Mohamed Metwally Mahmoud, Alfian Ma'arif, Khaled A. Metwally, Salma Abdelaal Shaaban

“…The numerical results obtained from the suggested SAO are matched with the results obtained from the self‐organizing hierarchical‐particle‐swarm‐optimizer with time‐varying acceleration coefficients and differential evolution. …”
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Effects of Collagen Coating, Fetal Bovine Serum Concentration, Differentiation Agents, and Neurotoxin Application on In Vitro Modeling of Parkinson's Disease Using SH-SY5Y Cell Cul... by Fatma Gonca Koçancı

“…Collagen coating was applied to assess its impact on cell differentiation, while the ideal cell density and serum ratio for generating neurite-like cells were determined through experimentation. …”
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Advanced neural network modeling with Levenberg–Marquardt algorithm for optimizing tri-hybrid nanofluid dynamics in solar HVAC systems by A. Aziz, S.A.H. Shah, H.M.S. Bahaidarah, T. Zamir, T. Aziz

“…The results show an error range of 10−7 to 10−11, confirming the model’s reliability and potential for optimizing PV-based HVAC systems.…”
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Performance optimization of D2 tool steel machining using novel multi-material cladded electrodes in electric discharge machining by Shoaib Mohammad, M. Wasiq Habib, Ammara Kanwal, Muhammad Asim, Muhammad Farooq, Imran Zahid, Noreen Sher Akbar, Hussein Togun, Fahid Riaz

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Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…To systematically assess the effectiveness of these techniques, five widely used OBL variants—basic opposition-based learning, quasi-opposition-based learning, generalized opposition-based learning, current optimum opposition-based learning, quasi-reflection opposition-based learning—were selected for implementation within five well-established MAs: differential evolution, genetic algorithm, particle swarm optimization, artificial bee colony, and harmony search. …”
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Driving Forces and Future Scenario Simulation of Urban Agglomeration Expansion in China: A Case Study of the Pearl River Delta Urban Agglomeration by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Chunshan Zhou

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Evaluation of Sentinel-2 Deep Resolution 3.0 Data for Winter Crop Identification and Organic Barley Yield Prediction by Milen Chanev, Ilina Kamenova, Petar Dimitrov, Lachezar Filchev

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GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data by Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen

“…Through systematic evaluation across 10 graph convolutional layers, GAT demonstrated optimal performance, achieving average ARI advantages of 0.108 and 0.112 over alternative graph convolutional layers in VGAE and GNODEVAE architectures respectively, along with ASW advantages of 0.047 and 0.098. …”
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Diverging trends in the global burden of ischemic heart disease attributable to non-optimal temperatures: a historical analysis (1990–2021) and 2050 projections by Zehao Jin, Zehao Jin, Yuting Pang, Ziyang Huang, Jialin Liu, Xiaoyi Zhan, Kangwei Wang

“…In contrast, age-standardized mortality rates associated with low non-optimal temperature are anticipated to decrease by 6.08 per 100,000, reflecting continued adaptation and improved healthcare infrastructure.ConclusionNon-optimal temperature exposure exerts differential effects on the global IHD mortality burden. …”
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Adaptive image encryption approach using an enhanced swarm intelligence algorithm by Sachin Minocha, Suvita Rani Sharma, Birmohan Singh, Amir H. Gandomi

“…The ICO-HO algorithm is utilized to optimize the parameters of PWLCM and PWCM chaotic maps to generate a secret key in the confusion and diffusion phases of image encryption. …”
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Quantifying Football Shooting Precision: The Expected Shot Impact Timing (xSIT) Approach by Blanca De-la-Cruz-Torres, Miguel Navarro-Castro, Anselmo Ruiz-de-Alarcón-Quintero

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End-to-End Online Video Stitching and Stabilization Method Based on Unsupervised Deep Learning by Pengyuan Wang, Pinle Qin, Rui Chai, Jianchao Zeng, Pengcheng Zhao, Zuojun Chen, Bingjie Han

“…First, collaborative optimization architecture allows the stabilization and stitching modules to share parameters and propagate errors through a fully differentiable network, ensuring consistent image alignment. …”
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An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system by Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro, Soham Dutta

“…These scenarios also include the implementation of demand response programmes. Differential evolution algorithm was used as the optimization tool for the study. …”
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