Self-powered tunable photodetection via flexoelectric engineering of single-phase 2HMoS2 by Junxi Yu, Yuan Zhang, Songjie Yang, Chunlin Song, Shiyao Xu, Boyuan Huang, Qingyuan Wang, Jiangyu Li

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Mixed Convection and Thermally Radiative Flow of MHD Williamson Nanofluid with Arrhenius Activation Energy and Cattaneo–Christov Heat-Mass Flux by S. Eswaramoorthi, Nazek Alessa, M. Sangeethavaanee, Safak Kayikci, Ngawang Namgyel

“…Activation energy is invoked through the modified Arrhenius function. The intention of the current investigation is to enhance the heat transfer rate in industrial processes. …”
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Enhancing Photonic Spin Hall Effect in the Surface Plasmon Resonance Structure Covered by the Graphene–MoS2 Heterostructure by Qingkai Wang, Xing Jiang, Xi Wang, Xiaoyu Dai, Yuanjiang Xiang

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Dynamic Propagation of Quadratically Chirped Airy Beams in the Right-Handed and Left-Handed Material Slabs by Zihao Pang, Jianbin Zhang, Tianfen Zhong, Liyan Feng, Linyi Wang, Dongmei Deng

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A Novel Model of Image Segmentation Based on Watershed Algorithm by Ali Abdullah Yahya, Jieqing Tan, Min Hu

“…Finally, a weighted function is used to combine the top/bottom hat transformation algorithm and the markers algorithm to get the new algorithm. …”
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Implicit Relaxed and Hybrid Methods with Regularization for Minimization Problems and Asymptotically Strict Pseudocontractive Mappings in the Intermediate Sense by Lu-Chuan Ceng, Qamrul Hasan Ansari, Ching-Feng Wen

“…We first introduce an implicit relaxed method with regularization for finding a common element of the set of fixed points of an asymptotically strict pseudocontractive mapping S in the intermediate sense and the set of solutions of the minimization problem (MP) for a convex and continuously Frechet differentiable functional in the setting of Hilbert spaces. The implicit relaxed method with regularization is based on three well-known methods: the extragradient method, viscosity approximation method, and gradient projection algorithm with regularization. …”
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Transient Diffusiophoresis of a Spherical Colloidal Particle by Hiroyuki Ohshima

“…A general theoretical approach is introduced to analyze the time-dependent, transient diffusiophoresis of a charged spherical colloidal particle in a symmetrical electrolyte solution when an electrolyte concentration gradient is suddenly applied. We derive a closed-form approximate expression for the relaxation function <i>R</i>(<i>t</i>), which describes the time course of the diffusiophoretic mobility of a weakly charged spherical colloidal particle possessing a thin electrical double layer. …”
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Nonlocal Electromechanical Effects within a cubic-symmetry dielectric materials by A.R. El-Dhaba

“…In this paper, we investigate the effect of nonlocality on the electromechanical phenomenon in anisotropic elastic dielectric materials with cubic symmetry using strain gradient theory of elasticity. The first stage involves applying the variational principle to the strain energy functional and the virtual work done by external forces, including mechanical forces, double forces, and electrical forces, known as the Hamiltonian principle. …”
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The Effect Of Optimizers On The Generalizability Additive Neural Attention For Customer Support Twitter Dataset In Chatbot Application by Sinarwati Mohamad Suhaili, Naomie Salim, Mohamad Nazim Jambli

“…Optimizers primarily control the adjustment of model parameters such as weight and bias to minimize a loss function during training. Adaptive optimizers such as ADAM have become a standard choice and are widely used for their invariant parameter updates' magnitudes concerning gradient scale variations, but often pose generalization problems. …”
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A Variational Neural Network Based on Algorithm Unfolding for Image Blind Deblurring by Shaoqing Gong, Yeran Wang, Guangyu Yang, Weibo Wei, Junli Zhao, Zhenkuan Pan

“…Image restoration is initiated with Gabor filters for the convolution kernel, and the activation function is approximated using a Gaussian radial basis function (RBF). …”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…The classifiers were grouped into Function (Logistic Regression, Multilayer Perceptron, Stochastic Gradient Descent), Rules (Decision Table, JRip, OneR), and Trees (Decision Stump, Hoeffding Tree, J48). …”
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Equilibrium Positions for UAV Flight by Dynamic Soaring by Bingjie Zhu, Zhongxi Hou, Shangqiu Shan, Xinzhu Wang

“…Dynamic soaring is a special flying technique designed to allow UAVs (unmanned aerial vehicles) to extract energy from wind gradient field and enable UAVs to increase the endurance. …”
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Characteristics of tight oil reservoirs and their impact on seepage flow from a nonlinear engineering perspective by Zeng Guodong, Ma Xinfang, Liu Yuehao

“…An exponential fitting function can effectively reflect the relationship between permeability and effective stress of tight sandstone cores in this area. …”
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Pollution Assessment Using Soil and Plant Leaves in Faisalabad, Pakistan by Dina Bibi, Daniela Isabela Gutiérrez Pérez, Béla Tóthmérész, Edina Simon

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eDNA Metabarcoding Reveals the Depth-Structured Variation of Coral Reef Fish by Jinfa Zhao, Lin Lin, Yong Liu, Teng Wang, Yu Liu, Yayuan Xiao, Jianzhong Shen, Hongyu Xie, Hai Huang, Qiuying Han

“…Importantly, our findings revealed distinct depth-structured variation among different functional groups of coral reef fish. Large carnivorous fish initially increased and then decreased along the depth gradient from 0 to 60 m, with a turning point around 20 m, while large herbivorous fish displayed the opposite trend. …”
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Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images by B. Dhalila S. Y. Khoodoruth, Harry C. S. Rughooputh, Wilfrid Lefer

“…In this article, we also develop a new methodology for a computational pipeline that uses bilateral filtering, diffusion properties, watershed, and filtering with mathematical morphology operators for the contour extraction of the lesion in the feature available based mainly on the gradient function. The evaluations of the classification of these lesions are very briefly outlined in this context and are being undertaken by pattern recognition in another paper work.…”
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Magnetic Field and Gravity Effects on Peristaltic Transport of a Jeffrey Fluid in an Asymmetric Channel by A. M. Abd-Alla, S. M. Abo-Dahab, Maram M. Albalawi

“…Closed form expressions for the pressure gradient, pressure rise, stream function, axial velocity, and shear stress on the channel walls have been computed numerically. …”
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Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks by Brandon L. Annesi, Enrico M. Malatesta, Francesco Zamponi

“…We analyze the problem of storing random pattern-label associations using two classes of continuous non-convex weights models, namely the perceptron with negative margin and an infinite-width two-layer neural network with non-overlapping receptive fields and generic activation function. Using a full-RSB Ansatz we compute the exact value of the SAT/UNSAT transition. …”
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Orbital magnetoelectric coupling of three dimensional Chern insulators by Xin Lu, Renwen Jiang, Zhongqing Guo, Jianpeng Liu

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Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method by Zhixin Xue, Jian Fang, Dongmei Guo, Panpan Zhang

“…To overcome these limitations, we present an improved method called the hyperbolic tangent function with Gaussian envelope constraints on the horizontal gravity gradient tilt angle (THTAHG) that is based on the tilt angle of the horizontal gravity gradient and the hyperbolic tangent (TANH) function under Gaussian envelope constraints. …”
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