Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection by Ronghui Lin, Peng Zhou

“…Three groups of 9 optimization sizes are obtained Through the deterministic optimization by multi-objective Genetic Algorithm. The L⁹ (3⁴) orthogonal table is constructed，the robust selection of deterministic optimal size is carried out，the optimal size of good robust performance is obtained based on signal-to-noise ratio <italic>η</italic>. …”
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From Cure to Crisis: Understanding the Evolution of Antibiotic-Resistant Bacteria in Human Microbiota by Hamed Tahmasebi, Neda Arjmand, Marzieh Monemi, Ali Babaeizad, Farnaz Alibabaei, Negar Alibabaei, Aisa Bahar, Valentyn Oksenych, Majid Eslami

“…Key resistance mechanisms include genetic mutations, horizontal gene transfer, and biofilm formation, with the human microbiota acting as a reservoir for antibiotic resistance genes (ARGs). …”
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Giant Protruding Nodular Fasciitis of the Anterior Chest Wall Clinically Mimicking a Soft Tissue Sarcoma by Hideyuki Kinoshita, Tsukasa Yonemoto, Hiroto Kamoda, Yoko Hagiwara, Toshinori Tsukanishi, Sumihisa Orita, Kazuhide Inage, Naoya Hirosawa, Seiji Ohtori, Takeshi Ishii

“…NF was diagnosed after pathological evaluation, including immunohistochemical analysis, molecular genetic testing, and cytogenetic testing via fluorescence in situ hybridization analysis. …”
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Multiobjective Optimization Design for Structural Parameters of TBM Disc Cutter Rings Based on FAHP and SAMPGA by Laikuang Lin, Yimin Xia, Dun Wu

“…According to the characteristics of this model, a self-adaptive multipopulation genetic algorithm (SAMPGA) is utilized to solve the optimization problem, and the Fuzzy analytical hierarchy process (FAHP) is employed to calculate weight coefficients for multiple objectives. …”
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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

“…Finally，the initial Kriging model is updated with MP （minimizing the predicted objective function） infill-sampling criterion and genetic algorithm，and the optimal design is obtained via the final Kriging model. …”
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Clinical Characteristics in Patients with Triple Negative Breast Cancer by Janet Yeh, Jennifer Chun, Shira Schwartz, Annie Wang, Elizabeth Kern, Amber A. Guth, Deborah Axelrod, Richard Shapiro, Freya Schnabel

“…The purpose of this study was to compare and contrast the clinical characteristics of the triple negative breast cancer (TNBC) and non-TNBC patients, with a particular focus on genetic susceptibility and risk factors prior to diagnosis. …”
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From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care by Masaru Tanaka

“…It focuses on key innovations such as dynamic systems modeling and network-based approaches that use genetic, molecular, and environmental data to identify new therapeutic targets. …”
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Gene Polymorphisms and Susceptibility to Functional Dyspepsia: A Systematic Review and Meta-Analysis by Lijun Du, John J. Kim, Binrui Chen, Yawen Zhang, Hui Ren

“…Clustering of patients with FD in families highlights the role of genetic factors in the pathogenesis of FD. We performed a systematic review and meta-analysis to clarify the associations between specific gene polymorphisms and FD susceptibility. …”
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Can mechanistic constraints on recombination reestablishment explain the long-term maintenance of degenerate sex chromosomes? by Lenormand, Thomas, Roze, Denis

“…The assumption of a lack of genetic variation to restore recombination seems also implausible given known mechanisms to restore a recombining pair of sex chromosomes.…”
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Integrated Solution Combining Low-Frequency Forced Oscillation Technique and Continuous Equivital Sensor Monitoring for Assessment of Non-Invasive Ambulatory Respiratory Mechanics by Ghada Ben Othman, Amani R. Ynineb, Erhan Yumuk, Hamed Farbakhsh, Cristina Muresan, Isabela Roxana Birs, Alexandra De Raeve, Cosmin Copot, Clara M. Ionescu, Dana Copot

“…The best-fitting fractional-order models for impedance data were identified using genetic algorithms. This study also explores the correlation between impedance model parameters and EQV data, discussing the potential of AI tools for forecasting respiratory properties. …”
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Simulation and Optimization of Acoustic Package of Dash Panel Based on SEA by Jintao Su, Ling Zheng, Jianping Lou

“…On this basis, multiobjective genetic algorithm and proxy model method are used to optimize the insertion loss of the front panel acoustic pack and the weight of the dashboard by introducing multiobjective variable and experimental design method, so as to obtain the best solution to meet the requirements of insertion loss and lightweight acoustic pack of the dashboard. …”
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A data-driven intelligent fault diagnosis framework for permanent magnet in PMSM by Huizhen Wang, Lei Wang, QiYa Wu, Haoying Pei, Lijun Diao

“…Second, fault diagnosis is carried out using the Genetic Algorithm-Support Vector Machine (GA-SVM) to accurately classify demagnetization faults. …”
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Primordial Germ Cells Quality of Chicken Embryo from Post Cryopreservation Blood Samples by Nurul Azizah, Tatan Kostaman, Yuli Arif Tribudi, Diana Andrianita Kusumaningrum, Suyatno Suyatno, Zultinur Muttaqin, Eko Koswara, Muhammad Gunawan

“…The potential application of cell-based cryo-banking will contribute to the preservation of poultry genetic diversity for sustainability and adaptation to future poultry demands.…”
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CDC40 suppression induces CDCA5 splicing defects and anti-proliferative effects in lung cancer cells by Die Hu, Brigitte L. Thériault, Vida Talebian, Laurent Hoffer, Julie Owen, Justin Lim, Benjamin J. Blencowe, Evelyne Lima-Fernandes, Punit Saraon, Richard Marcellus, Rima Al-awar

“…Data mining of whole-genome genetic dependency screens suggest Cell Division Cycle 40 (CDC40) to be an essential protein for lung cancer cell survival. …”
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Engineered macrophage nanoparticles enhance microwave ablation efficacy in osteosarcoma via targeting the CD47-SIRPα Axis: A novel Biomimetic immunotherapeutic approach by Xiongfa Ji, Xin Qian, Guowen Luo, Wenjie Yang, Wenhan Huang, Zehua Lei, Jiaqi Zhou, Guoqing Zhong, Jielong Zhou, Nan Liu, Limin Ma, Mei Li, Xiangmei Liu, Shuilin Wu, Yu Zhang

“…This study developed an innovative nanotherapeutic approach by utilizing genetically engineered macrophage membranes with M1 polarization, stably overexpressing signal regulatory protein alpha (SIRPα), to encapsulate microwave-responsive nano-Prussian blue (SIRPα-M@nanoPB) nanoparticles. …”
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Two-Stage Solution for Meal Delivery Routing Optimization on Time-Sensitive Customer Satisfaction by Wenjie Wang, Li Jiang

“…In the second stage, a genetic algorithm (GA) is applied to solve the cluster-based delivery routing optimization model to find an optimal delivery route for meal orders in each delivery bundle. …”
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The zinc finger protein560(ZNF560) functions as a novel oncogenic gene in osteosarcoma by Xiong Dong, Guanhua Xu, Hongxiang Hong, Jinlong Zhang, Zhiming Cui, ZiLiang Yu

“…In order to manipulate ZNF560 expression in HOS and MG63 osteosarcoma (OS) cells, genetic strategies such as shRNA constructs were utilized. …”
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Using cortical organoids to understand the pathogenesis of malformations of cortical development by Kellen D. Winden, Isabel Gisser, Mustafa Sahin

“…Neurodevelopmental disorders are common in all types of malformations of cortical development with the most prominent being refractory epilepsy, behavioral disorders such as autism spectrum disorder (ASD), and learning disorders. Several genetic pathways have been associated with these disorders from control of cell cycle and cytoskeletal dynamics in global malformations to variants in growth factor signaling pathways, especially those interacting with the mechanistic target of rapamycin (mTOR), in FCDs. …”
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A Novel Optimization of Plug-In Electric Vehicles Charging and Discharging Behaviors in Electrical Distribution Grid by Haiming Fu, Yinghua Han, Jinkuan Wang, Qiang Zhao

“…Considering the constraints on the power transportation of branch, in the second phase, we built a mathematical model to maximize the benefit of both power grid and PEV owners. The genetic algorithm was used to optimize the charging and discharging power of PEVs. …”
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Quantum computational infusion in extreme learning machines for early multi-cancer detection by Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Haixia Long

“…This study presents a hybrid model integrating Extreme Learning Machine (ELM) with FuNet transfer learning, applied on a multi-cancer dataset and optimized using the Quantum-Genetic Binary Grey Wolf Optimizer (Q-GBGWO). This model leverages a diverse feature fusion strategy, enhancing the extraction of critical imaging features, while Q-GBGWO optimizes ELM parameters to achieve superior classification performance. …”
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