Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction by Mohammed Majeed Hameed, Mohamed Khalid Alomar, Siti Fatin Mohd Razali, Ali Salem

“…Therefore, this study uses Locally Weighted Linear Regression (LWLR) with radial basis kernel function instead of the linear system to effectively capture nonlinear relationships and enhance local data pattern recognition. …”
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Extensive electronic investigation of BMBH structure and adsorption locator on graphene with molecular dynamics of human serum albumin interaction by Walaa S. S. Alblozy, Doaa S. El Sayed, Refaat M. Mahfouz

“…The nature of hydrogen and halogen bonding interactions was analyzed using natural bond orbital (NBO) analysis, atoms in molecules (AIM) theory, and Reduced Density Gradient (RDG) analysis. Additionally, electron localization function (ELF) analysis provided deeper insights into the chemical bonding characteristics of BMB. …”
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Structural Policy: Towards a New Investment Model of Economic Growth by O. S. Sukharev

“…Optimization models have made it possible to demonstrate the solution to the problem of distributing investments between the sectors with a target function for maximum profit and minimum risk. The analysis of growth and the conditions for economic growth obtained by the model-analytical method — in terms of the rate of change in oil prices and the exchange rate — allowed us to empirically show periods of growth and recession in the economy. …”
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Calculation of Neural Network Weights and Biases Using Particle Swarm Optimization by Jerin Paul Selvan, Girish Pandurang Potdar

“…This technique aids in figuring out a loss function’s gradient for every network weight. The backpropagation method divides the dataset into training and testing sets. …”
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Multi-UAV Path Planning for Air-Ground Relay Communication Based on Mix-Greedy MAPPO Algorithm by Yiquan Wang, Yan Cui, Yu Yang, Zhaodong Li, Xing Cui

“…The state space, action space, communication model, training environment, and reward function are designed by comprehensively considering the actual tasks and entity characteristics such as safe distance, no-fly zones, survival in a threatened environment, and energy consumption. …”
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A deep multiple self-supervised clustering model based on autoencoder networks by Ling Zhu, Zijin Liu, Guangyu Liu

“…This approach introduces an efficient, adaptable, and rational technique for initializing cluster centers and membership matrices for fuzzy C-Means clustering, achieving convergence of the loss function in a shorter time frame. Compared to the performance of traditional fuzzy C-Means clustering algorithms on various public datasets, our proposed method significantly reduces computation time and noticeably improves iteration efficiency.…”
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Dent Disease 1 Presented Early with Bartter-Like Syndrome Features and Rickets: A Case Report by Cahyani Gita Ambarsari, Habibah Azzahra Putri Agianda, Meilania Saraswati, Jon Jin Kim

“…His laboratory workup displayed hypokalemic metabolic alkalosis and increased urine potassium, chloride, transtubular potassium gradient, and calcium/creatinine ratio. He also had hypophosphatemia, hypomagnesemia, and decreased kidney function. …”
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A Data Augmented Method for Plant Disease Leaf Image Recognition based on Enhanced GAN Model Network by MingYuan Xin, Ling Weay Ang, Sellappan Palaniappan

“…An enhanced GAN model network based on the Wasserstein GAN loss function has been developed to address the limited training images of plant disease leaves. …”
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Deep representation learning using layer-wise VICReg losses by Joy Datta, Rawhatur Rabbi, Puja Saha, Aniqua Nusrat Zereen, M. Abdullah-Al-Wadud, Jia Uddin

“…In addition, we optimize weights for variance, invariance, and covariance terms of the loss function so that the model can capture higher-level semantic information optimally. …”
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Rotor angle stability enhancement using DDPG reinforcement agent with Gorilla troops optimized input scaling factors by Ahmed H. Yakout, Ahmed E. B. Abu-Elanien, Hany M. Hasanien

“…Abstract This paper introduces a Reinforcement Learning (RL)-based Power System Stabilizer (PSS) with a Deep Deterministic Policy Gradient (DDPG) algorithm for rotor angle stability. …”
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Optimization of D2D emergency communication resources for UAV relay based on DA-STD3 by Xiaofang Deng, Zijian Deng, Lin Zheng, Chao Yang, Chuanxu Chen

“…By designing the reward function and training mechanism, we can achieve good power control and reduce communication interference. …”
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BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method by Shaohui Liang, Yingkui Wang, Shuxin Chen

“…However, when applied to large pre-trained language models like BERT, using quantum density matrices often leads to issues such as gradient explosion or vanishing. Therefore, how to effectively integrate the quantum-inspired language model and the pre-trained model, and make them function under the fine-tuning paradigm of the pre-trained model has become a key issue for the further development of the quantum-inspired language model. …”
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Multi-Scale DCNN with Dynamic Weight and Part Cross-Entropy Loss for Skin Lesion Diagnosis by Gaoshuai Wang, Linrunjia Liu, Fabrice Lauri, Amir HAJJAM El Hassani

“…Multi-scale DCNN with dynamic weight and part loss function verifies its advantages in enhancing diagnosis accuracy.…”
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Research on Variable Circulation Design Method and Internal Flow Characteristic of the Axial Flow Pump by Xuewei Yu, Qili Gan, Zifan Ling, Jiahui Gong, Jiajia Tang, Lijian Shi

“…By adjusting the circulation distribution function from the hub to the tip of the impeller, various design models were constructed. …”
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Interior Bubbling Solutions with Residual Mass for a Neumann Problem with Slightly Subcritical Exponent by Khulud Alfaleh, Khalil El Mehdi

“…The proofs of these results are based on refined asymptotic expansions of the gradient of the associated Euler–Lagrange functional.…”
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Adsorption kinetics of tea waste to catechins by Hu Shuqin, Tang Yi, Liu Li

“…Catechins, the main functional components in tea, were generally recognized as possessing desirable biological and physiological effects, such as ant-i oxidation, ant-i cancer, reducing the risk of cardiovascular diseases etc. …”
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One-Year Outcome of Patients Undergoing Transcatheter Aortic Valve Replacement with Concomitant SignificantTricuspid Regurgitation by Enrico Ferrari, Alberto Pozzoli, Catherine Klersy, Elena Caporali, Stefanos Demertzis, Giovanni Pedrazzini

“…Echocardiographic and functional changes over time showed no significant interaction between TR and time. …”
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The first interneuron of the mouse visual system is tailored to the natural environment through morphology and electrical coupling by Matteo Spinelli, Alejandra Acevedo Harnecker, Christoph T. Block, Lucia Lindenthal, Fabian Schuhmann, Martin Greschner, Ulrike Janssen-Bienhold, Karin Dedek, Christian Puller

“…Summary: The topographic complexity of the mouse retina has long been underestimated. However, functional gradients exist, which reflect the non-uniform statistics of the visual environment. …”
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Acquisition and Monitoring System for TEG Characterization by O. H. Ando, C. L. Izidoro, J. M. Gomes, J. H. Correia, J. P. Carmo, L. Schaeffer

“…In order to validate the precision and accuracy two commercial TEG modules (inbC1-127.08HTS) compatible with temperatures up to 200°C without signal degradation were used in series. The functional prototype of the implemented system had a cost under ≈430 USD, making it suitable where a good knowledge of the electrical characteristics of TEGs is of major interest, especially on cogeneration systems.…”
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Spatiotemporal impact of mesoscale eddies on chlorophyll-a concentration in the North Atlantic by Jinghui Cai, Jialong Sun, Jialong Sun, Jialong Sun, Siyuan Qin, Yaonan Li

“…Overall, eddy-driven Chl-a variations contribute approximately 20% to regional primary production.DiscussionThese findings highlight the functional importance of mesoscale eddies in regulating phytoplankton biomass and underscore their role in advancing our understanding of the marine carbon cycle under changing climate conditions.…”
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