High-Precision Modal Decomposition of Laser Beams Based on Globally Optimized SPGD Algorithm by Kyuhong Choi, Changsu Jun

“…We propose a globally optimized stochastic parallel gradient descent (SPGD) algorithm to analyze the modal content of laser beams with high precision. …”
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Hazard Assessment of Typhoon on the Southeast Coast of China Using Grid Fixed-Point Method by Yuhuan Yin, Guirong Xiao

“…Next, we performed 50 and 100-year wind speed estimation of the return period by constructing the 60-year wind speed extreme value sequence of the grid center point and using the extreme value distribution function. At last, we implemented the discussion regarding spatial distribution characteristics of typhoon disasters. …”
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Validation of the prognostic index of morbidity and mortality due to cardiovascular disease associated with atherogenic risk factors by José Miguel Rodríguez Perón

“…The number of expected and observed cardiovascular events in those ten years was compared (calibration) and the ability of the risk function to separate high and low risk subjects (discrimination) was estimated. …”
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Bank data protection and fraud identification based on improved adaptive federated learning and WGAN by Yunjiao Zheng

“…The experiment outcomes show that the adaptive data protection architecture designed in this study notably raises the convergence performance of the loss function after introducing adaptive gradient pruning and noise differentiation strategies, with a minimum loss value of 0.09 and excellent learning ability. …”
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A Bluetooth Indoor Positioning System Based on Deep Learning with RSSI and AoA by Yongjie Yang, Hao Yang, Fandi Meng

“…During the training process, the backpropagation (BP) algorithm is used to compute the gradient of the loss function and update the parameters of the entire network, gradually optimizing the model’s performance. …”
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Robust DOA Estimation via a Deep Learning Framework with Joint Spatial–Temporal Information Fusion by Yonghong Zhao, Xiumei Fan, Jisong Liu

“…The CRDCNN employs multi-level cross-residual connections and depthwise separable convolutions to enhance feature diversity while mitigating issues such as gradient vanishing and overfitting. Furthermore, a customized FD loss function, combining Focal Loss and Dice Loss, is introduced to emphasize low-confidence samples and promote sparsity in the spatial spectrum, thereby improving the precision and overall effectiveness of DOA estimation. …”
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Research on the Local Dynamic Trajectory Planning Method Based on Relative Positioning by LUO Jiaxiang, YUAN Xiwen, HUANG Qiang

“…Then, the path set is filtered through the collision check and evaluation function to obtain the optimal path without collision. …”
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DCW-YOLO: Road Object Detection Algorithms for Autonomous Driving by Hongge Ren, Fangke Jing, Song Li

“…Finally, the deleterious gradients generated by low-quality examples are reduced using the Wise-IoU v3 bounding box loss function in conjunction with a dynamic non-monotonic focusing mechanism utilizing an anchor box gradient gain assignment strategy. …”
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Diabetic nephropathy and myocardial lesions in children with type 1 diabetes mellitus by Larisa Vasil'evna Kazakova, Elena Fedorovna Lukushkina, Leonid Grigor'evich Strongin, Elena Alexandrovna Azova

“…All patients under-went standard examination to evaluate cardiovascular and vegetative nervous function. Analysis of spectrograms obtained by dopplerography of intrarenal vessels included main renal artery (MRA), segmental (SA), interlobe (ILA), arch (AA), and interlobular (ILbA) arteries. …”
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Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning by Léo Monbroussou, Eliott Z. Mamon, Jonas Landman, Alex B. Grilo, Romain Kukla, Elham Kashefi

“…Lastly, we analyze the trainability of Hamming weight preserving circuits, and show that the variance of the $l_2$ cost function gradient is bounded according to the dimension $\binom{n}{k}$ of the subspace. …”
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Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security by Sonam Bhardwaj, Ayon Tarafdar, Manoj Baghel, Triveni Dutt, Gyanendra Kumar Gaur

“…The results showed that BR with 2 hidden layer neurons showed excellent prediction ability (R2 = 0.999, MSE < 10−6) and was therefore used as an objective function by GA for optimization. The optimized results revealed that higher milk production is achievable at lower investment if the age at first calving is 768 days with a body weight of ∼281 kg. …”
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Weight illusions explained by efficient coding based on correlated natural statistics by Paul M. Bays

“…We show that the precision with which human observers estimate object weight varies as a function of both mass and volume in a manner consistent with the estimated joint distribution of those properties among everyday objects. …”
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p21-Activated kinase (PAK) regulates cytoskeletal reorganization and directional migration in human neutrophils. by Asako Itakura, Joseph E Aslan, Branden T Kusanto, Kevin G Phillips, Juliana E Porter, Paul K Newton, Xiaolin Nan, Robert H Insall, Jonathan Chernoff, Owen J T McCarty

“…Neutrophils serve as a first line of defense in innate immunity owing in part to their ability to rapidly migrate towards chemotactic factors derived from invading pathogens. As a migratory function, neutrophil chemotaxis is regulated by the Rho family of small GTPases. …”
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A simple but effective method for Indonesian automatic text summarisation by Nankai Lin, Jinxian Li, Shengyi Jiang

“…We define a formula for calculating the sentence score as the objective function of the linear regression. Considering the characteristics of Indonesian, we use Indonesian lemmatisation technology to improve the calculation of sentence score. …”
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Soil Microbial Adaptation and Biogeochemical Feedback in Degraded Alpine Meadows of the Qinghai–Tibetan Plateau by Bingzhang Li, Quzhen Gesang, Yan Sun, Yuting Wang, Jibin Nan, Jun Xu

“…In this study, we investigated the response of soil microbial communities and their metabolic functions across a degradation gradient using metagenomic sequencing and comprehensive soil physicochemical analysis in the city of Lhasa, China. …”
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OPTIMAL AIRCRAFT CONTROL SYNTHESIS BASED ON THE EQUATIONS OF NON-LINEAR DYNAMICS by V. F. Dil, V. N. Sizykh

“…The authors define method stages of flying level synthesis which include: selection of aircraft reference movements in accordance with three degrees of freedom, structuring the control algorithms and their parameters, defining the proximity of current and reference movements by means of a quadratic functional and further extremum-minimum movement organization by the gradient method. …”
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First-principles insights into the optoelectronic, thermoelectric, and elastic properties of Cs2NaSbBr6 double perovskites for sustainable energy applications by MD Ratul Hasan, Imtiaz Ahamed Apon, Md. Alamgir Hossain

“…In this study, first-principles calculations were performed by different functionals to investigate the structural, electronic, and optical properties of Cs2NaSbBr6 double perovskite using density functional theory. …”
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Quantitative magnetic resonance imaging parameters of lumbar paraspinal muscle impairment in myotonic dystrophy type 2 and their evolution with aging by Viktoria Kokosova, Viktoria Kokosova, Peter Krkoska, Peter Krkoska, Daniela Vlazna, Daniela Vlazna, Daniela Vlazna, Michaela Sladeckova, Michaela Sladeckova, Michaela Sladeckova, Michaela Sladeckova, Marek Dostal, Marek Dostal, Milos Kerkovsky, Milos Kerkovsky, Tamara Barusova, Petra Ovesna, Olesja Parmova, Olesja Parmova, Katerina Matulova, Blanka Adamova, Blanka Adamova

“…Utilizing a 6-point Dixon gradient echo sequence MRI, fat fraction (FF), total muscle volume, and functional muscle volume (FMV) of the LPM and psoas muscle (PS) were obtained. …”
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Microbial community dynamics and bioremediation strategies for petroleum contamination in an in-service oil Depot, middle-lower Yellow River Basin by Quanwei Song, Bingyu Zhou, Bingyu Zhou, Yinan Song, Xianyuan Du, Hongkun Chen, Rui Zuo, Jin Zheng, Tingyu Yang, Yimin Sang, Jufeng Li

“…Groundwater exhibited hydraulic gradient-driven downstream migration of PHs (0.03–0.04 mg/L) and arsenic (1.1–1.5 μg/L). …”
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Prediction of depressive disorder using machine learning approaches: findings from the NHANES by Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki

“…Methods This study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2013–2014 to predict depression using six supervised ML models: Logistic Regression, Random Forest, Naive Bayes, Support Vector Machine (SVM), Extreme Gradient Boost (XGBoost), and Light Gradient Boosting Machine (LightGBM). …”
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