Economic-statistical design of variable parameters non-central chi-square control chart Projeto econômico-estatístico de gráficos de controle qui-quadrado não-central com parâmetro... by Maysa Sacramento de Magalhães, Francisco Duarte Moura Neto

“…The design of the chart is accomplished by means of optimizing a cost function. We use here a simulated annealing optimization tool, due to the difficulty of classical gradient based optimization techniques to handle the optimization of the cost function. …”
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Insulin resistance-induced mitochondrial dysfunction and pyroptosis in trophoblasts: protective role of metformin by Runyu Du, Yu Bai, Ling Li, Ying Shao, Na Wu

“…Yet the specific impact of insulin at IR levels on mitochondrial function and pyroptosis in first-trimester trophoblasts remains unclear. …”
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EGRN-YOLO: An Enhanced Multi-View Remote Sensing Detection Algorithm for Onshore Wind Turbines Based on YOLOv7 by Renzheng Xue, Haiqiang Xu, Qianlong Wu

“…Finally, the NWD loss function is introduced to replace the CIoU loss function, thereby improving the accuracy of positive and negative sample allocation for small targets. …”
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Seepage Flow Properties of a Columnar Jointed Rock Mass in a True Triaxial Experiment by Yanxin He, Zhende Zhu, Wenbin Lu, Yunjin Hu, Xinghua Xie, Sijing Wang

“…The law of variations in the permeability of the samples with different dip angles under intermediate principal stress can be well expressed using the one-dimensional quadratic function equation k=a+bσ2+cσ22, and the law of variations in the permeability of the samples with different dip angles under minimum principal stress can be well expressed using the logarithmic function k=a+blnσ3. …”
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Non‐genetic diversity modulates population performance by Adam James Waite, Nicholas W Frankel, Yann S Dufour, Jessica F Johnston, Junjiajia Long, Thierry Emonet

“…While it is known how one genotype can generate such non‐genetic diversity, it remains unclear how different phenotypes contribute to the performance of biological function at the population level. We developed a microfluidic device to simultaneously measure the phenotype and chemotactic performance of tens of thousands of individual, freely swimming Escherichia coli as they climbed a gradient of attractant. …”
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Neural, genetic, and cognitive signatures of creativity by Cheng Liu, Kaixiang Zhuang, Daniel C. Zeitlen, Qunlin Chen, Xueyang Wang, Qiuyang Feng, Roger E. Beaty, Jiang Qiu

“…The high correlation with the primary gradient of functional connectivity suggests that DT involves extensive integration from concrete sensory information to abstract, higher-level cognition, distinguishing it from other advanced cognitive functions. …”
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Backstepping Command Filter Control for Electromechanical Servo Systems with Unknown Dynamics Based on Reinforcement Learning by Chenchen Xu, Jian Hu, Jiong Wang, Wenxiang Deng, Jianyong Yao, Xiaoli Zhao

“…In addition, the Lyapunov function analysis method is used to demonstrate the stability of the closed-loop system. …”
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Association Between Pain Distribution and Limitations in Basic and Instrumental Activities of Daily Living: A Cross-Sectional Study Based on the Survey of Health, Aging and Retirem... by Diana Salas-Gómez, Ángel Denche-Zamorano, Cristina Mendoza-Holgado, Sabina Barrios-Fernandez

“…Data were drawn from the Survey of Health, Aging, and Retirement in Europe (SHARE) Wave 9, including 68,839 participants aged 50 or older. A clear gradient of functional limitation was observed: Individuals with WP reported the highest number of limitations, followed by those with LP, while those with no pain showed minimal impairment. …”
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Adaptive Ferrofluidic Robotic System with Passive Component Activation Capabilities by Qinkai Chen, Haozhe Feng, Xinjian Fan, Hui Xie, Lining Sun, Zhan Yang

“…These constraints substantially hinder the robot’s flexibility and functional expandability. To address these constraints, this study proposes a highly integrated hybrid electromagnetic coil permanent magnet actuation system. …”
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A new Tec family-based clinical model predicts survival in differentiated thyroid cancer patients via machine learning by Ziyu Luo, Wenhan Li, Jianhui Li, Ying Zhang

“…Therefore, the model can be used to predict the OS of DTC patients. Functional annotation analysis revealed characteristics similar to those of other Tec kinases. …”
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Ab Initio Investigation of the Mechanics and Thermodynamics of the Cubic EuAlO₃ and GdAlO₃ Perovskites for Optoelectronic Applications by Adel Bandar Alruqi, Nicholas O. Ongwen

“…The present work performed an ab initio study of the mechanical and thermal properties of the cubic EuAlO₃ and GdAlO₃ perovskites for the first time using density functional theory. <i>Quantum Espresso</i> and <i>Themo_pw</i> codes were utilized by employing the generalized gradient approximation. …”
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Impact of gas-liquid two-phase flow patterns in the suction chamber of a centrifugal pump on performance efficiency by Andrey Putra Wijayanto, Eflita Yohana, Mohammad Tauviqirrahman

“…Those include the probability density function (PDF), the power spectral density (PSD), continuous wavelet transforms, and Kolmogorov entropy. …”
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Thermo-Hydro-Mechanical Combined Effect Analysis Model for Early-Age Concrete Bridges and Its Application by Shiwei Li, Yongqing Yang, Qianhui Pu, Wangqing Wen, Aiguo Yan

“…Based on the equivalent hydration theory, the temperature and moisture conduction processes and the evolution of the mechanical properties of concrete were modeled as a function of the equivalent age. A coupling model for the temperature and moisture fields was established, and a theoretical framework for analyzing the thermo-hydro-mechanical combined effect was presented. …”
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AMAY-Net: adaptive multi-scale attention YOLO network for liver and gallbladder segmentation in laparoscopic cholecystectomy by Yuyang Zhou, Yulai You, Xiaokai Tan, Juncheng Tang

“…Second, an adaptive class-balancing loss function is implemented to dynamically adjust the weights of underrepresented classes, improving the segmentation accuracy of small structures. …”
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Corn variety identification based on improved EfficientNet lightweight neural network by Jinpu Xu, Jinpu Xu, Jinhao Lan, Guangjie Lv, Dexin Ma

“…Finally, the Swish activation function was used to improve the stability of gradient transfer, and the SCD_EFTNet model was proposed. …”
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Dual decoding generative adversarial networks for infrared image enhancement by Yang Yu, Lin Jiang, Qijun Hu, Qijie Cai, Qiang Zeng, Xin Sun

“…Finally, a joint loss function is designed to integrate pixel-level accuracy, semantic consistency, and global structural coherence, with image realism and perceptual quality being enhanced consequently. …”
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Geothermal heat advected by the recharge of underground conduit. Case study of the karstic spring of Lez (Hérault, France) by Vasseur, Guy

“…The thermal features of the model are expressed as a function of a few parameters: from comparison with the actual data, the depth of the conduit appears to lie around 400 m and the number Pe characterizing the recharge is about 6. …”
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A Riemannian-Geometry Approach for Modeling and Control of Dynamics of Object Manipulation under Constraints by Suguru Arimoto, Morio Yoshida, Masahiro Sekimoto, Kenji Tahara

“…An extension of Dirichlet-Lagrange's stability theorem to redundant systems under constraints is suggested by introducing a Morse-Lyapunov function.…”
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Joint Resource Allocation for V2X Sensing and Communication Based on MADDPG by Zhiyong Zhong, Zhangyou Peng

“…In addition, a reward function is designed based on the characteristics of the scenario. …”
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Dry polymer model for a string of pushers: Nontrivial scaling of tumbling time with shear rate by Siji S. Saju, Raj Kumar Manna, P. B. Sunil Kumar

“…When subjected to shear flow, both models show two distinct regimes in the tumbling interval as a function of shear rate, with a diffuse crossover regime in between. …”
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