Efficient Technique for Joint Parameter Estimation of Mixed Far Field Targets and Near Field Jammers in Phased Array Radar by Fawad Zaman, Sadiq Akbar, Zohaib Akhtar, Gridsada Phanomchoeng

“…The plane waves are the function of the unknown DOA, whereas the spherical waves depend on the DOAs and ranges of the jammers. …”
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Nonlinear Effects of Human Settlements on Seasonal Land Surface Temperature Variations at the Block Scale: A Case Study of the Central Urban Area of Chengdu by Muze Zhang, Tong Hou, Yuping Ma, Mindong Liang, Jiayu Yang, Fengshuo Sun, Enxu Wang

“…In contrast, the nighttime light index (NTL) and functional mix degree (FMD) exert a significant negative influence on LST in spring, autumn, and winter. …”
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Inverse Problem for a Time-Dependent Source in Distributed-Order Time-Space Fractional Diffusion Equations by Yushan Li, Huimin Wang

“…Subsequently, the inverse source problem is transformed into a minimization problem of a functional using the Tikhonov regularization method, and an approximate solution is obtained by the conjugate gradient method. …”
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The role of the matrix-edge dynamics of amphibian conservation in tropical montane fragmented landscapes by Georgina Santos-Barrera, Nicolás Urbina-Cardona

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Green ILC: A Novel Energy-Efficient Iterative Learning Control Approach by Yu Dou, Emmanuel Prempain

“…This novel approach introduces a cost function that minimizes both tracking errors and control effort, enabling the system to adaptively optimize performance over iterations. …”
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Exploring the Determinants of Spatial Vitality in High-Speed Rail Station Areas in China: A Multi-Source Data Analysis Using LightGBM by Pengpeng Liang, Xu Cui, Jiexi Ma, Wen Song, Yao Xu

“…The analysis of interaction effects highlights strong synergies between urban development and functional configuration, as well as between accessibility and service infrastructure. …”
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An Innovative Artificial Intelligence Classification Model for Non-Ischemic Cardiomyopathy Utilizing Cardiac Biomechanics Derived from Magnetic Resonance Imaging by Liqiang Fu, Peifang Zhang, Liuquan Cheng, Peng Zhi, Jiayu Xu, Xiaolei Liu, Yang Zhang, Ziwen Xu, Kunlun He

“…Significant challenges persist in diagnosing non-ischemic cardiomyopathies (NICMs) owing to early morphological overlap and subtle functional changes. While cardiac magnetic resonance (CMR) offers gold-standard structural assessment, current morphology-based AI models frequently overlook key biomechanical dysfunctions like diastolic/systolic abnormalities. …”
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Mavacamten for Obstructive Hypertrophic Cardiomyopathy: Rationale for Clinically Guided Dose Titration to Optimize Individual Response by Anjali T. Owens, Milind Desai, Matthew T. Wheeler, Anna Rodonski, Samira Merali, Amy J. Sehnert, Sara Saberi

“…Results from clinical trials paired with extensive modeling and simulation analyses support a dose‐titration and monitoring strategy based on serial echocardiographic measures of Valsalva LV outflow tract gradient and LV ejection fraction. This dosing approach allows for the identification of the lowest individualized mavacamten dose and exposure required to provide improvements in LV outflow tract obstruction, functional capacity, and symptoms. …”
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A Detection Method for Conveyor Belt Damage with Small Size and Low Contrast by HAN Yajie, HAO Xiaoli, NIU Baoning, XUE Jindong

“…By connecting features of different levels across layers, complete and rich multi-scale features can be obtained, and small-size damage detection can be completed. Second, the gradient harmonized mechanism is introduced into the classification loss function, and the weight of small-size damage is dynamically adjusted to make it fully trained. …”
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Contextual Regularization-Based Energy Optimization for Segmenting Breast Tumor in DCE-MRI by Priyadharshini Babu, Mythili Asaithambi, Sudhakar Mogappair Suriyakumar

“…The formulated non-linear energy-based convex optimizer is adaptively tuned by a variational Minimax principle to achieve the desired solution. An iterative gradient descent algorithm is engaged to minimize the energy-based cost function, obtaining stable convergence towards the optimal solution. …”
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Efficient optimal power flow learning: A deep reinforcement learning with physics-driven critic model by Ahmed Sayed, Khaled Al Jaafari, Xian Zhang, Hatem Zeineldin, Ahmed Al-Durra, Guibin Wang, Ehab Elsaadany

“…This approach enables accurate policy gradient computation through a differentiable loss function based on system states of realized uncertainties, simplifying both the replay buffer and the learning process. …”
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Mitochondria-Associated Membranes (MAMs) are involved in Bax mitochondrial localization and cytochrome c release by Alexandre Légiot, Claire Céré, Thibaud Dupoiron, Mohamed Kaabouni, Nadine Camougrand, Stéphen Manon

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Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

“…By demonstrating the superior performance of DTRT, the study guides practitioners and researchers in selecting models that enhance localization accuracy, ultimately improving the overall functionality of WSNs.…”
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Spatial relationships between macrophyte assemblages, water and sediment features in deep lakes by Alice Dalla Vecchia, Rossano Bolpagni, Alex Laini, Daniele Nizzoli, Mariano Bresciani, Mattia Martin Azzella, Martin Wilkes

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Deep Reinforcement Learning: A Chronological Overview and Methods by Juan Terven

“…By leveraging foundational concepts of value functions, policy optimization, and temporal difference methods, deep RL has rapidly evolved and found applications in areas such as gaming, robotics, finance, and healthcare. …”
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Estimation of Sediment Transport Parameters From Measured Suspended Concentration Time Series Under Waves and Currents With a New Conceptual Model by Shaotong Zhang, Zixi Zhao, Guangxue Li, Jinran Wu, You‐Gan Wang, Peter Nielsen, Dong‐Sheng Jeng, Lulu Qiao, Chenghao Wang, Sanzhong Li

“…Second, SubSSC2 is modeled with tidal excursion and trigonometric functions with measured periodicities. Finally, some sediment transport parameters, for example, the background SSC, the horizontal SSC gradient, the tidal constituents that advect it, and their relative time lags are optimized from the best fits of the measured and modeled SSC time series. …”
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Mycorrhizal and nutrient controls of carbon sequestration in tropical rainforest soil by Jie Chen, Xin Tang, Han Xu, Yanpeng Li, Adriana Corrales, Yide Li, Yakov Kuzyakov, Zhanfeng Liu, Shirong Liu

“…This study characterized the performances of AM and ECM trees, SOC content, and soil microbial functions under variable soil nitrogen (N) and phosphorus (P) content across an intact tropical rainforest based on the spatial dataset from a 60-ha dynamic plot and fitted statistical models to examine the mycorrhizal and nutrient controls on SOC stocks. …”
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Application of Chelex-100 and SPR-IDA Resin in Combination with the Optimized Beam Deflection Spectrometry for High-Sensitivity Determination of Iron Species in Sediment Porewater by Hanna Budasheva, Mohanachandran Nair Sindhu Swapna, Arne Bratkič, Dorota Korte

“…In this work, photothermal beam deflection spectrometry (BDS), combined with a passive sampling technique of diffusive gradients in thin film (DGT), is optimized to improve the method’s sensitivity. …”
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Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

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Intelligent method for supporting decision-making on software security using hybrid models by Оксана Сітнікова, Маргарита Мельник, Олена Сирота, Сергій Семенов

“…The probabilities are normalized using the softmax function. The model was trained on a labeled dataset and tested using comparative metrics. …”
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