Stress-induced release of Oct-1 from the nuclear envelope is mediated by JNK phosphorylation of lamin B1. by Ivan I Boubriak, Ashraf N Malhas, Marek M Drozdz, Lior Pytowski, David J Vaux

“…The nuclear lamina can bind and sequester transcription factors (TFs), a function lost if the lamina is abnormal, with missing or mutant lamin proteins. …”
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Hybrid genetic algorithms: solutions in realistic dynamic and setup dependent job-shop scheduling problems by Rogério M. Branco, Antônio S. Coelho, Sérgio F. Mayerle

“…The proposed genetic algorithm executes two important functions: choose the routes using dispatching rules when forming each individual from a defined set of available machines and, also make the scheduling for each of these individuals created. …”
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Efficient Schemes for Optimizing Load Balancing and Communication Cost in Edge Computing Networks by Efthymios Oikonomou, Angelos Rouskas

“…In this paper, we formulate this problem as an optimization problem with a bi-objective function that aims at both communication cost minimization and load balance optimization. …”
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Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm by Pengzhen Zhou, Huifu Zhang, Wei Liang

“…The algorithm introduces the singer map to initialise the population, uses multi-information fusion to obtain the best prey position, and applies the sine function-based escape energy to execute a prey search strategy to obtain the optimal subset of features. …”
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Long-Term Surgical Complications in the Oral Cancer Patient: a Comprehensive Review. Part II by Antonia Kolokythas

“…Adequate reconstruction of the defects with restoration of form and function is the second, but not of less importance, goal for the successful care of the head and neck cancer patient.…”
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Expeditious Dynamic Clustering in Preprocessing for High-Performance Classification by Anamika Pimpa, Narissara Eiamkanitchat

“…This integration selectively combines clusters based on a low-frequency criterion value, optimizing the clustering of the dataset. The EDC execution method operates without the need for a computational distance function, thereby revolutionizing the clustering paradigm for high-performance data classification. …”
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Process Injection Using Return-Oriented Programming by Bramwell Brizendine, Shiva Shashank Kusuma, Bhaskar P. Rimal

“…Return-oriented programming (ROP) is a code-reuse attack that uses borrowed chunks of executable code for arbitrary computation. On Windows, ROP is often used solely to bypass Data Execution Prevention, rather than realizing its full potential; indeed, the bulk of advanced, malicious functionality is typically invoked through shellcode. …”
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Parallel Simulation Multi-Sample Task Scheduling Approach Based on Deep Reinforcement Learning in Cloud Computing Environment by Yuhao Xiao, Yping Yao, Feng Zhu

“…The method collects cluster load information and simulation application information as state inputs in the cloud environment, designs a multi-objective reward function to balance the cost and execution efficiency, and uses deep Q-networks (DQNs) to train agents for intelligent scheduling of multi-sample parallel simulation tasks. …”
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Deep Reinforcement Learning-Based Two-Phase Hybrid Optimization for Scheduling Agile Earth Observation Satellites by Guanghui Zhou, Zhicheng Jin, Dongning Liu

“…Given the resource occupation constraints during action execution, a novel reward function is designed by integrating resource occupation utility into the immediate reward mechanism. …”
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Single-Cell Transcriptomics Unveils the Mechanistic Role of FOSL1 in Cutaneous Wound Healing by Jingbi Meng, Ge Zheng, Yinli Luo, Ling Ge, Zhiqing Liu, Wenhua Huang, Meitong Jin, Yanli Kong, Shanhua Xu, Zhehu Jin, Longquan Pi

“…Furthermore, Gene Set Variation Analysis (GSVA) was executed across Hallmark, biological process (BP), molecular function (MF), and cellular component (CC) categories to deepen our understanding of the wound healing process. …”
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Protocol for ex vivo culture of adult mouse testis tissue using a gel-based approach by Nadia Krarup Knudsen, Christine Hjorth Andreassen, Martin Blomberg Jensen, Anne Jørgensen

“…Summary: Testicular function relies on tightly regulated cell-cell interactions, including Sertoli-Leydig cell communication and Sertoli cells nurturing germ cells. …”
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Protocol for measuring force in skinned diaphragm muscle fibers of myopathic SEPN1 knockout mice following chronic tauroursodeoxycholic acid treatment by Leonardo Nogara, Serena Germani, Cosimo De Napoli, Bert Blaauw, Ester Zito

“…Summary: Selenoprotein N1 (SEPN1) is a type II endoplasmic reticulum (ER) glycoprotein. Loss-of-function mutations in the gene encoding for SEPN1 give rise to myopathy. …”
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High-Resolution Multiple-Source 2D DOA Estimation Using Convolutional Neural Network With Robustness to Array Imperfections by Tarek Sallam, Qun Wang, Ahmed M. Attiya

“…Compared to multiple signal classification (MUSIC) algorithm and radial basis function neural network (RBFNN), numerical results indicate that the CNN model exhibits notable precision in two-dimensional (2D) direction of arrival (DOA) estimation of multiple-source with high resolution, along with less than one-tenth second execution time. …”
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Key shifts in frontoparietal network activity in Parkinson’s disease by Ronen Sosnik, Firas Fahoum, Zoya Katzir, Anat Mirelman, Inbal Maidan

“…To that end, 68 PD patients and 30 controls underwent electroencephalography (EEG) recording while executing visual single- and dual- Go/No-go tasks. …”
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Multi-User Opportunistic Spectrum Access for Cognitive Radio Networks Based on Multi-Head Self-Attention and Multi-Agent Deep Reinforcement Learning by Weiwei Bai, Guoqiang Zheng, Weibing Xia, Yu Mu, Yujun Xue

“…First, an optimization model for joint channel selection and power control in multi-user systems is constructed based on centralized training with a decentralized execution framework. In the training phase, the decision-making policy is optimized using global information, while in the execution phase, each agent makes decisions according to its observations. …”
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Subspace-based local compilation of variational quantum circuits for large-scale quantum many-body simulation by Shota Kanasugi, Yuichiro Hidaka, Yuya O. Nakagawa, Shoichiro Tsutsui, Norifumi Matsumoto, Kazunori Maruyama, Hirotaka Oshima, Shintaro Sato

“…The optimization is performed for small local subsystems based on the Lieb-Robinson bound, which allows us to execute the cost function evaluation using small-scale quantum devices and/or classical computers. …”
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Research on Dynamic Path Planning of Wheeled Robot Based on Deep Reinforcement Learning on the Slope Ground by Peng Wang, Xiaoqiang Li, Chunxiao Song, Shipeng Zhai

“…The results show that compared with DDQN algorithm, TDDQN has the advantages of fast convergence and low loss function.…”
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The Optimum design of arch dam shape using Particle Swarm optimization algorithm by seyed reza mousvi, نادر برهمند, Akbar Ghanbari, Arash Totonchi

“…<br /><br />Methods: The volume of concrete used was considered as the goal function of the optimization problem and the design variables were the geometric parameters of the dam. …”
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Velocity field of image points in satellite imagery of planet’s surface by V. Ya. Gecha, M. Yu. Zhilenev, V. B. Fyodorov, D. A. Khrychev, Yu. I. Hudak, A. V. Shatina

“…The formula describes the velocity as a function of the point coordinates in the image fixation plane, the focal length of the imaging camera, the orbital parameters of the satellite, the angular velocity of the planet’s rotation, the coordinates of the satellite’s true anomaly in the orbit, the orientation angles of the imaging camera relative to the orbit, and the angular velocity of the camera. …”
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Optimizing decentralized implementation of state estimation in active distribution networks by Mohammad Gholami, Aref Eskandari, Sajjad Fattaheian‐Dehkordi, Matti Lehtonen

“…Subsequently, performance metrics affected by zone sizes, such as execution time, accuracy of the DSSE results, and reliability in achieving the results at the control centre, are modelled. …”
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