Control Bandwidth Promotion of Adaptive Fiber-Optics Collimator and Its Application in Coherent Beam Combination by Guan Huang, Chao Geng, Feng Li, Jiaying Liu, Xinyang Li

“…To improve the control bandwidth, the frequency characteristics of AFOC are measured, and an accurate transfer function model is established. Through the analysis of this model, we find that the resonance and the inherent response delay are the main limiting factors. …”
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Utility of Certain AI Models in Climate-Induced Disasters by Ritusnata Mishra, Sanjeev Kumar, Himangshu Sarkar, Chandra Shekhar Prasad Ojha

“…As a result, multiple AI tools such as Random Forest (RF), Random Tree (RT), M5P (M5 model trees), M5Rules, Feed-Forward Neural Networks (FFNNs), Gradient Boosting Machine (GBM), Adaptive Boosting (AdaBoost), and Support Vector Machines kernel-based model (SVM-Pearson VII Universal Kernel, Radial Basis Function) are tested in the present study using various combinations of datasets. …”
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Knowledge Extraction via Machine Learning Guides a Topology‐Based Permeability Prediction Model by Jia Zhang, Gang Ma, Zhibing Yang, Jiangzhou Mei, Daren Zhang, Wei Zhou, Xiaolin Chang

“…Guided by partial dependence calculation, the unknown function relationship between permeability and the top six important features is established. …”
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Dynamic Snake Convolution Neural Network for Enhanced Image Super-Resolution by Weiqiang Xin, Ziang Wu, Qi Zhu, Tingting Bi, Bing Li, Chunwei Tian

“…This framework utilizes parallel convolutional layers and a global feature fusion mechanism to further strengthen feature extraction capability and gradient flow efficiency. Additionally, the network incorporates a SwishReLU-based activation function and a multi-scale convolutional concatenation structure. …”
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Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

“…The research effectively addresses the vanishing gradient problem by replacing the traditional Rectified Linear Unit (ReLU) activation function with Leaky ReLU, while simplifying the network structure through the use of a Global Average Pooling layer to reduce model complexity. …”
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Creating Balance on Bandwidth Consumption using Network Coding in Wireless Sensor Networks by Ehsan Kharati

“…For this purpose, we need to calculate the derivative of the Lagrangian function relative to its variables, in order to determine the condition as a multi-excited multi-equation device. …”
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Experimental Study on Coal Permeability Variation during Microwave Radiation by Yulin Ma, Yao Cheng, Wenlong Shang, Dong Zhao, Xianggang Duan

“…Under microwave radiation, the relationship between permeability and effective stress followed a negative exponential function, and all R-squared values were greater than 0.97. …”
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Decarbonization process and productivity convergence: a global analysis of carbon total factor productivity by Jing Liu, Jianing Zhang, Dengfeng Cui

“…This model combines a directional distance function with the global Malmquist–Luenberger index to achieve precision in efficiency measurement and intertemporal comparability. …”
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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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Clinical phenotypes and outcomes of pulmonary hypertension due to left heart disease: Role of the pre-capillary component. by Sergio Caravita, Andrea Faini, Sandy Carolino D'Araujo, Céline Dewachter, Laura Chomette, Antoine Bondue, Robert Naeije, Gianfranco Parati, Jean-Luc Vachiéry

“…We aimed at describing the different haemodynamic phenotypes of patients with PH due to left heart disease (LHD) and at characterizing the impact of pulmonary haemodynamics on RV function and outcome PH-LHD.<h4>Methods</h4>Patients with PH-LHD were compared with treatment-naïve idiopathic/heritable pulmonary arterial hypertension (PAH, n = 35). …”
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Multi-granularity feature intersection learning for visible-infrared person re-identification by Sixian Chan, Jie Wang, Jiaao Cui, Jie Hu, Zhuorong Li, Jiafa Mao

“…Previous methods ignore the potential loss of details during representation extraction and the presence of data bias in the metric function, limiting further improvements in retrieval performance. …”
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Does the public health education affect health inequality among the migrant population in China? by Lanyan Cheng, Deshui Zhou, Zangyi Liao

“…Results The findings indicated that health inequality among migrants followed a pro-rich socioeconomic gradient, with substantial regional heterogeneity. …”
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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…Additionally, the GIoU loss function is introduced to replace the traditional IoU, further optimizing bounding box regression through the calculation of the minimum enclosing box. …”
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Coordinating environmental genomics and geochemistry reveals metabolic transitions in a hot spring ecosystem. by Wesley D Swingley, D'Arcy R Meyer-Dombard, Everett L Shock, Eric B Alsop, Heinz D Falenski, Jeff R Havig, Jason Raymond

“…This channel acts as a >22 m gradient of decreasing temperature, increasing dissolved oxygen, and changing availability of biologically important chemical species, such as those containing nitrogen and sulfur. …”
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Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study by Natthanaphop Isaradech, Wachiranun Sirikul, Nida Buawangpong, Penprapa Siviroj, Amornphat Kitro

“… Abstract BackgroundFrailty is defined as a clinical state of increased vulnerability due to the age-associated decline of an individual’s physical function resulting in increased morbidity and mortality when exposed to acute stressors. …”
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Kelp carbon sink potential decreases with warming due to accelerating decomposition. by Karen Filbee-Dexter, Colette J Feehan, Dan A Smale, Kira A Krumhansl, Skye Augustine, Florian de Bettignies, Michael T Burrows, Jarrett E K Byrnes, Jillian Campbell, Dominique Davoult, Kenneth H Dunton, João N Franco, Ignacio Garrido, Sean P Grace, Kasper Hancke, Ladd E Johnson, Brenda Konar, Pippa J Moore, Kjell Magnus Norderhaug, Alasdair O'Dell, Morten F Pedersen, Anne K Salomon, Isabel Sousa-Pinto, Scott Tiegs, Dara Yiu, Thomas Wernberg

“…Our findings reveal an important latitudinal gradient in coastal ecosystem function that provides an improved capacity to predict the implications of ocean warming on carbon cycling. …”
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DT-YOLO: An Improved Object Detection Algorithm for Key Components of Aircraft and Staff in Airport Scenes Based on YOLOv5 by Zhige He, Yuanqing He, Yang Lv

“…In addition, we utilized deformable convolutions in CNNs to extract features from multi-scale and deformed objects, further enhancing the model’s adaptability and detection accuracy. In terms of loss function design, we modified GIoULoss to address its discontinuities and instability in certain scenes, which effectively mitigated gradient explosion and improved the stability of the model. …”
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Pulmonary hypertension and right-sided heart failure in hemodialysis patients by Lana Adel Haji, Kais Hasan Al-Taee, Safa Almukhtar, Abdulazeez Mohsin Abdulazeez

“…Data were collected which included Age, gender, BMI, causes of renal failure and vascular access, and   echocardiography was conducted by a cardiologist, he evaluated them by using tricuspid regurgitation jet peak gradient for pulmonary hypertension, and by using tricuspid annulus plane systolic excursion method for evaluation of right ventricular function. …”
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Machine Learning System for Predicting Cardiovascular Disorders in Diabetic Patients by A. Mayya, H. Solieman

“…The RFC and XGBoost models achieved higher accuracy using gradient descending order to minimize the loss function. …”
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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…On the other hand, highly permeable fractures function as the main flow conduits within such reservoirs. …”
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