Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing by Agnieszka Polowczyk, Alicja Polowczyk, Marcin Woźniak

“…Abstract Graph neural networks are becoming increasingly popular in deep learning due to their ability to process data in irregular structures and graphs thus preserving additional spatial dependencies due to the arrangement of nodes. …”
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Topside Electron Density Modeling Using Neural Network and Empirical Model Predictions by S. Dutta, M. B. Cohen

“…In this paper, we highlight improvements made to this NN, and present a detailed comparison of the new model to E‐CHAIM and IRI as a function of location, geomagnetic condition, time of year, and solar local time. …”
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Advancing Cybersecurity with Honeypots and Deception Strategies by Zlatan Morić, Vedran Dakić, Damir Regvart

“…This paper examines the function of honeypots as critical instruments for threat detection, analysis, and mitigation. …”
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Clustering routing protocol based on improved PSO algorithm in WSN by Xiaonian WU, Chuyun ZHANG, Runlian ZHANG, Yaping SUN

“…Aiming at the problem that the location distribution of cluster head nodes filtered by wireless sensor network clustering routing protocol was unbalanced and the data transmission path of forwarding nodes was unreasonable,which would increase the energy consumption of nodes and shorten the network life cycle,a clustering routing protocol based on improved particle swarm optimization algorithm was proposed.In the process of cluster head election,a new fitness function was established by defining the energy factor and position equalization factor of the node,the better candidate cluster head node was evaluated and selected,the position update speed of the candidate cluster head nodes was adjusted by the optimized update learning factor,the local search and speeded up the convergence of the global search was expanded.According to the distance between the forwarding node and the base station,the single-hop or multi-hop transmission mode was adopted,and a multi-hop method was designed based on the minimum spanning tree to select an optimal multi-hop path for the data transmission of the forwarding node.Simulation results show that the clustering routing protocol based on improved particle swarm optimization algorithm can elect cluster head nodes and forwarding nodes with more balanced energy and location,which shortened the communication distance of the network.The energy consumption of nodes is lower and more balanced,effectively extending the network life cycle.…”
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Action Recognition with 3D Residual Attention and Cross Entropy by Yuhao Ouyang, Xiangqian Li

“…This study proposes a three-dimensional (3D) residual attention network (3DRFNet) for human activity recognition by learning spatiotemporal representations from motion pictures. …”
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Welding Image Data Augmentation Method Based on LRGAN Model by Ying Wang, Zhe Dai, Qiang Zhang, Zihao Han

“…This study focuses on the data bottleneck issue in the training of deep learning models during the intelligent welding control process and proposes an improved model called LRGAN (loss reconstruction generative adversarial networks). …”
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A Neural Network Constitutive Model and Automatic Stiffness Evaluation for Multiscale Finite Elements by Aliki D. Mouratidou, Georgios E. Stavroulakis

“…The numerical results are compared with the given data set as well as with the results obtained after applying a polynomial regression. The loss function, without and including the Sobolev metrics, is considered. …”
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Altered Cerebellar Circuitry following Thoracic Spinal Cord Injury in Adult Rats by Nishant P. Visavadiya, Joe E. Springer

“…Cerebellar function is critical for coordinating movement and motor learning. …”
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A review on three decades of manufacturing maintenance research: past, present and future directions by Roberto Sala, Emmanuel Francalanza, Simone Arena

“…Maintenance engineering has taken up more and more a strategic function in recent decades due to technological advancements and its role in asset productivity. …”
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Educational escape games in primary and secondary education: a framework synthesis review by Peter Grepperud

“…However, there is limited understanding of how these new learning environments function within the contexts of primary and secondary education because the majority of primary-level studies on EEGs that have been covered in existing systematic reviews target higher education. …”
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Simple Fermionic backflow states via a systematically improvable tensor decomposition by Massimo Bortone, Yannic Rath, George H. Booth

“…In this work, we introduce a compact and systematically improvable fermionic wave function based on a CANDECOMP/PARAFAC (CP) tensor decomposition of backflow correlations in second quantization. …”
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Neural stem cell heterogeneity in adult hippocampus by Ziqi Liang, Nuomeng Jin, Weixiang Guo

“…In the adult DG, newly generated granule cells from neural stem cells (NSCs) integrate into existing neural circuits, significantly contributing to cognitive functions, particularly learning and memory. Recently, more and more studies have shown that rather than being a homogeneous population of identical cells, adult NSCs are composed of multiple subpopulations that differ in their morphology and function. …”
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Retina Modeling by Artificial Neural Networks by Amelia Stewart

“…The objective of this article is to provide a theoretical framework for the structure and function of the retina. The first focus of this article is the examination of the physiological aspects of the retina. …”
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Pre-Service Teachers’ Perceptions of the Teaching Principles and Methods Course: Metaphor Analysis by Hanife Esen Aygün, Çiğdem Şahin Taşkın

“…Through this course, learning outcomes, the roles and activities of teachers and students are clearly defined. …”
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Self-Transcendence and Its Discontents: Criticisms and Defences of the <i>Zhuangzi</i> in Wei-Jin Thought and Their Modern Significance by Benjamin Coles

“…This paper examines these discussions, focusing on criticisms from the pragmatically minded realist Confucian literati of the period, who largely regarded the text as detaching and distracting scholars from the pressing needs of the state and responses from the more sympathetic and idealist “Neo-Daoist” figures of the Dark Learning (<i>xuanxue</i>) movement. For the latter, the spiritual self-transcendence that could be found in the <i>Zhuangzi</i> text was not only a source of personal satisfaction and joy but also served an important function in Confucian ethics, leading readers to transcend narrow obsession with individual self-interest, political power and social status. …”
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Inverse-design topology optimization of magnonic devices using level-set method by Andrey A. Voronov, Marcos Cuervo Santos, Florian Bruckner, Dieter Suess, Andrii V. Chumak, Claas Abert

“…Abstract The inverse design approach in magnonics exploits the wave nature of magnons and machine learning to develop logical devices with functionalities that exceed the capabilities of analytical methods. …”
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An Enhanced Shuffle Attention with Context Decoupling Head with Wise IoU Loss for SAR Ship Detection by Yunshan Tang, Yue Zhang, Jiarong Xiao, Yue Cao, Zhongjun Yu

“…Additionally, we propose a new loss function with a dynamic non-monotonic focus mechanism to tackle these issues. …”
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Integrating the Prior Shape Knowledge Into Deep Model and Feature Fusion for Topologically Effective Brain Tumor Segmentation by Salma Asif, Ahmad Raza Shahid, Kiran Aftab, Syed Ather Enam

“…Deep learning techniques totally rely on the loss function optimization and due to the lack of explicit form of prior knowledge, they may struggle to generate the accurate tumor shapes. …”
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El juego modificado, recurso metodológico en el fútbol de iniciación (Modified game, methodological resource in soccer initiation) by Jaime Serra Olivares, Luis Miguel García López, David Sánchez-Mora Moreno

“…Despite the number of proposals, research has not empirically justified the use of them depending on the specific teaching-learning context of the practitioners. This way, what function has the modified game as a methodological resource in sports teaching? …”
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Implantation of Neuronal Stem Cells Enhances Object Recognition without Increasing Neurogenesis after Lateral Fluid Percussion Injury in Mice by Laura B. Ngwenya, Sarmistha Mazumder, Zachary R. Porter, Amy Minnema, Duane J. Oswald, H. Francis Farhadi

“…Cell transplantation has been linked to enhanced cognitive function after experimental traumatic brain injury, yet the mechanism of recovery is poorly understood. …”
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