Target sample mining with modified activation residual network for speaker verification. by Ji Chaoqun, Chen Wei, Ye Peng, Wang Zhou, Zhou Shuhang

“…Thus, this paper introduces an adaptive target function capable of solving these issues (SphereSpeaker). …”
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Scoop: An Optimization Algorithm for Profiling Attacks against Higher-Order Masking by Nathan Rousselot, Karine Heydemann, Loïc Masure, Vincent Migairou

“… In this paper we provide new theoretical and empirical evidences that gradient-based deep learning profiling attacks (DL-SCA) suffer from masking schemes. …”
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Latent Space Classification for Cardiovascular Disease Detection: A Deep Convolutional Autoencoder-Based Approach for Telemedicine Applications by G Antoni Gracy, Sheena Christabel Pravin

“…Cardiovascular disease is a leading global cause of mortality, often due to abnormal heart function. Early detection and timely treatment are essential to prevent fatalities. …”
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Prognostic Value of Radiological and Laboratory Biomarkers for Assessing Risk of Adverse Outcome in Patients with COVID-19 by А. D. Strutynskaya, M. А. Karnaushkina, L. I. Dvoretskiy, I. Е. Tyurin

“…The predictive model was built using gradient boosting and artificial neural network with sigmoid activation function.Results. …”
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Beam-steering of a single-element nano-antenna with two transferring dielectric flat lenses by Fatma E. Helmy, Ibrahim I. Ibrahim, Amany M. Saleh

“…Moreover, the PSO algorithm is provided to maximize the pre-specified fitness function.…”
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A reaction-diffusion network model predicts a dual role of Cactus/IκB to regulate Dorsal/NFκB nuclear translocation in Drosophila. by Claudio D T Barros, Maira A Cardoso, Paulo M Bisch, Helena M Araujo, Francisco J P Lopes

“…Quantitative analysis of cact mutants revealed an additional Cact function to promote Dl nuclear translocation in ventral regions of the embryo. …”
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LA-ResUNet: An Efficient Linear Attention Mechanism in ResUNet for the Semantic Segmentation of Pulmonary Nodules by P. C. Sarah Prithvika, L. Jani Anbarasi

“…Skip connections allow for better gradient flow during training and better information flow between layers. …”
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Charging Station Management Strategy for Returns Maximization via Improved TD3 Deep Reinforcement Learning by Hengjie Li, Jianghao Zhu, Yun Zhou, Qi Feng, Donghan Feng

“…Also, we use marginalised importance sampling to calculate the Q-return function for TD3, which ensures that the constructed strategies are more likely to learn high-value experiences while having higher robustness. …”
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Microstructural transformation for robust and high-efficiency Zintl thermoelectrics by Meng Jiang, Qinghua Zhang, Siyuan Zhang, Ming Liu, Yuntian Fu, Zhiyuan Zhang, Xin Ai, Bohayra Mortazavi, Lianjun Wang, Qihao Zhang, Denys Makarov, Wan Jiang

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Application of machine learning in predicting adolescent Internet behavioral addiction by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

“…Six methods—multi-level perceptron, random forest, K-nearest neighbor, support vector machine, logistic regression, and extreme gradient boosting—were used to construct the model. …”
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Optimal Control for Multistage Nonlinear Dynamic System of Microbial Bioconversion in Batch Culture by Lei Wang, Zhilong Xiu, Yuduo Zhang, Enmin Feng

“…Secondly, we transcribe the optimal control model into an unconstrained one based on the penalty functions and an extension of the state space. Finally, by approximating the control function with simple functions, we transform the unconstrained optimal control problem into a sequence of nonlinear programming problems, which can be solved using gradient-based optimization techniques. …”
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Theory and optimization of double-walled carbon nanotube reinforced rubber composites for underwater sound absorption by Junyu Li, Xiaomeng Li, Siyang Li, Shande Li, Zhifu Zhang

“…Finally, a comprehensive multi-gradient and multi-parameter optimization study of the underwater acoustic functional material was carried out by the Bayesian Optimization and Hyperband (BOHB) optimization algorithm. …”
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Rational Design and Experimental Research on the Self-Assembled System of Thermosensitive Molecularly Imprinted Polymers Formed by α-Lipoic Acid and N-Vinyl Caprolactam by Yu-Qin Chen, Bo-Wen Yang, Yun-An Huang, Rui Chang, Qiu-Jin Zhu

“…In this paper, the main work was to study the theoretical self-assembly process of thermosensitive molecularly imprinted polymers (MIPs) for α-lipoic acid and to investigate thermosensitive functional monomers through density functional theory calculations (DFT) and intermolecular weak interaction analysis. …”
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Targeting the lactate transporter MCT1 in endothelial cells inhibits lactate-induced HIF-1 activation and tumor angiogenesis. by Pierre Sonveaux, Tamara Copetti, Christophe J De Saedeleer, Frédérique Végran, Julien Verrax, Kelly M Kennedy, Eui Jung Moon, Suveera Dhup, Pierre Danhier, Françoise Frérart, Bernard Gallez, Anthony Ribeiro, Carine Michiels, Mark W Dewhirst, Olivier Feron

“…Although this metabolic conversion may primarily represent a rescue pathway to meet the bioenergetic and biosynthetic demands of proliferating tumor cells, it also creates a gradient of lactate that mirrors the gradient of oxygen in tumors. …”
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Synergistic therapy for pancreatic cancer by deactivating cancer-associated fibroblasts and driving T-cell migration into tumor microenvironment using nanochaperone delivery system by Jiajing Chen, Feihe Ma, Yujie Chen, Mengchen Xu, Yongxin Zhang, Shuyu Wang, Hongyun Liu, Linlin Xu, Yang Liu, Rujiang Ma, Jinpu Yu, Linqi Shi

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Midterm outcomes of mitral valve repair in rheumatic heart disease by Rimy Prashad, Madhur Kumar, Nootan Hadiya, Anubhav Gupta

“…It is better in preserving left ventricular function and improves chances of survival. This study aims to evaluate the mid-term outcomes of mitral valve repair in rheumatic mitral valve regurgitation, emphasizing its effect on left ventricular dimension and function. …”
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Enterotype-stratified gut microbial signatures in MASLD and cirrhosis based on integrated microbiome data by Heng Yuan, Heng Yuan, Junyu Zhou, Junyu Zhou, Xuangao Wu, Shiwei Wang, Sunmin Park, Sunmin Park

“…Microbial co-occurrence networks and functional predictions via PICRUSt2 revealed distinct patterns across enterotypes.Results and discussionThe Prevotella-dominated(ET-P) group exhibited a 33% higher cirrhosis rate than the Bacteroides-dominated(ET-B) group. …”
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Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography by Joseph Shtok, Michael Elad, Michael Zibulevsky

“…The optimization is performed with respect to an error functional in the image domain that combines the mean square error with a gradient-based penalty, promoting image sharpness. …”
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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…Furthermore, based on the history data of passenger flow of rail transit stations and relevant influence factors, it applies the deep learning method to choose the relatively optimal hidden layer node by means of the cut-and-try method, set up input data and labeled data, select the activation function and loss function, and use the Adam Gradient Descent Optimization Algorithm for iterative global convergence. …”
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Evolutionary history of calcium-sensing receptors unveils hyper/hypocalcemia-causing mutations. by Aylin Bircan, Nurdan Kuru, Onur Dereli, Berkay Selçuk, Ogün Adebali

“…To further enhance the findings, gradient-boosting trees were applied to differentiate between gain- and loss-of-function mutations responsible for hypocalcemia and hypercalcemia. …”
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