Research of the microwave generator and antenna emitters for hyperthermia of oncological diseases by V. V. Fedyanin

“…The materials and methods of computational mathematics, ultrahigh frequency technology and the theory of automatic regulation are used in the study. …”
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Daytime Equatorial Spread F‐Like Irregularities Detected by HF Doppler Receiver and Digisonde by B. Olugbon, E. O. Oyeyemi, A. Kascheyev, A. B. Rabiu, A. A. Obafaye, O. O. Odeyemi, A. O. Adewale

“…Close inspection of the ionograms from ILR during this interval (1500–1800 UT) showed the occurrence of small‐scale spreading in the F‐layer trace which varied in altitude as the disturbance progressed. Computation of the linear growth rate of the collisional Rayleigh‐Taylor instability showed that the plasma instability was seeded by a traveling ionospheric disturbance (TID). …”
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Volumetric trans-scale imaging of massive quantity of heterogeneous cell populations in centimeter-wide tissue and embryo by Taro Ichimura, Taishi Kakizuka, Yoshitsugu Taniguchi, Satoshi Ejima, Yuki Sato, Keiko Itano, Kaoru Seiriki, Hitoshi Hashimoto, Ko Sugawara, Hiroya Itoga, Shuichi Onami, Takeharu Nagai

“…The 3D resolving capability was realized through a combination of optical and computational sectioning techniques tailored for our low-power imaging system. …”
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Portable astronomical observation system based on large-aperture concentric-ring metalens by Jianli Wang, Yongting Deng, Chengmiao Wang, Yu Lin, Yeming Han, Junchi Liu, Xiufeng Liu, Hongwen Li, Jan G. Korvink, Yongbo Deng

“…Compared to global structural optimization, this approach reduces computational resources and time consumption by several orders of magnitude while maintaining nearly identical focusing efficiency. …”
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Prediction of High-Pressure Physical Properties of Crude Oil Using Explainable Machine Learning Models by Yawen He, Jianwen Chen, Zhiyu Wu, Yaxin Dun, Guichao Du, Mengsen Feng, Yifan Lu, Wei Dang

“…However, these models often lack sufficient transparency and clarity in their computational processes, limiting their effectiveness in oil and gas exploration and development. …”
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An innovative and efficient implementation of matrix-free Newton krylov method for neutronics/thermal-hydraulics coupling simulation by Peijun Li, Chen Hao, Ning Xu, Yanling Zhu, Yizhen Wang, Zhigang Zhang

“…Numerical results indicate that MFNK method can obtain strong stability, high convergence performance, and relatively high computational efficiency while ensuring high accuracy. …”
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Novel inhibitors of the (VIBVN) NAT protein identified through pharmacophore modeling by Wei Wei, Xionghao Li, Ning Hou, Aowei Xie, Huicong Liang, Ting Gao, Xiaoli Jing, Liqin Li, Jiejie Hao, Ximing Xu

“…We integrated multiple computational approaches to screen for effective inhibitors. …”
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Tailoring the Anomalous Hall Effect in van der Waals Ferromagnet Fe3GeTe2 by WU Kaile, WANG Junshan, JIANG Jiaolin, CHAI Qian, WANG Qin, SANG Shengbo, GE Yang

“…Two-dimensional van der Waals magnetic materials have shown fascinating natural ferromagnetic properties at the atomic level, which has great potential in the fields of low power spintronics, quantum computing, and optical communication. [Methods] Herein, the ferromagnetism and magnetic anisotropy of bulk Fe3GeTe2 (FGT) were investigated. …”
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Independent Component Analysis-Based Harmonic Transfer Impedance Estimation for Networks with Multiple Harmonic Sources by Mateus M. de Oliveira, Leandro R. M. Silva, Igor D. Melo, Carlos A. Duque, Paulo F. Ribeiro

“…The effectiveness and performance of the method are demonstrated based on computational simulations using distribution and transmission systems. …”
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A Reinforcement-Learning Based Approach for Designing High-Voltage SiC MOSFET Guard Rings by Tejender Singh Rawat, Chia-Lung Hung, Yi-Kai Hsiao, Wei-Chen Yu, Surya Elangovan, Wei-Ting Lin, Yi-Rong Lin, Kai-Lin Yang, Nien-Yi Jan, Yung-Hui Li, Hao-Chung Kuo

“…This work is more accurate, practical, and result-oriented, and we believe that this can significantly minimize the computational cost as compared to the standalone TCAD simulations. …”
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Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar by Rui ZHANG, Hanqin GONG, Ruiyuan SONG, Yadong LI, Zhi LU, Dongheng ZHANG, Yang HU, Yan CHEN

“…Additionally, to address the influence of walls on signal quality, this paper introduces a deep echo domain compensator that leverages the powerful fitting performance and parallel output characteristics of deep learning, thereby reducing the computational overhead of traditional wall compensation methods. …”
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Ultra-broadband all-optical nonlinear activation function enabled by MoTe2/optical waveguide integrated devices by Chenduan Chen, Zhan Yang, Tao Wang, Yalun Wang, Kai Gao, Jiajia Wu, Jun Wang, Jianrong Qiu, Dezhi Tan

“…Abstract All-optical nonlinear activation functions (NAFs) are crucial for enabling rapid optical neural networks (ONNs). As linear matrix computation advances in integrated ONNs, on-chip all-optical NAFs face challenges such as limited integration, high latency, substantial power consumption, and a high activation threshold. …”
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Ultra‐Thin Strain‐Relieving Si1−xGex Layers Enabling III‐V Epitaxy on Si by Trevor R. Smith, Spencer McDermott, Vatsalkumar Patel, Ross Anthony, Manu Hedge, Sophie E. Bierer, Sunzhuoran Wang, Andrew P. Knights, Ryan B. Lewis

“…Abstract The explosion of artificial intelligence, the possible end of Moore's law, dawn of quantum computing, and the continued exponential growth of data communications traffic have brought new urgency to the need for laser integration on the diversified Si platform. …”
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What is the near-natural catchment? An application of hydrological signatures assessment by Huan Xu, Hao Wang, Pan Liu, Xiaojing Zhang, Weibo Liu, Chutian Zhou, Hao Ye, Hongxuan Lei, Yang Liu

“…This is done by condensing a large set of 222 into eight signatures that are computable, representative, robust, and predictable. …”
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Anisotropic nonlinear optical responses of Ta2NiS5 flake towards ultrafast logic gates and secure all-optical information transmission by Yan Lei, Gong Ziyao, He Qinyong, Shen Dechao, Ge Anping, Dai Ye, Ma Guohong, Sun Liaoxin, Zhang Saifeng

“…Optical logic gates based on nonlinear optical property of material with ultrafast response speed and excellent computational processing power can break the performance bottleneck of electronic transistors. …”
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NERVE 2.0: boosting the new enhanced reverse vaccinology environment via artificial intelligence and a user-friendly web interface by Andrea Conte, Nicola Gulmini, Francesco Costa, Matteo Cartura, Felix Bröhl, Francesco Patanè, Francesco Filippini

“…Abstract Background Vaccines development in this millennium started by the milestone work on Neisseria meningitidis B, reporting the invention of Reverse Vaccinology (RV), which allows to identify vaccine candidates (VCs) by screening bacterial pathogens genome or proteome through computational analyses. When NERVE (New Enhanced RV Environment), the first RV software integrating tools to perform the selection of VCs, was released, it prompted further development in the field. …”
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A Novel Change Detection Method Based on Visual Language From High-Resolution Remote Sensing Images by Junlong Qiu, Wei Liu, Hui Zhang, Erzhu Li, Lianpeng Zhang, Xing Li

“…In addition, we introduce a change feature computation module to integrate global features, difference features, and textual information. …”
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DockCADD: A streamlined in silico pipeline for the identification of potent ribosomal S6 Kinase 2 (RSK2) inhibitors by El Mehdi Karim, Meriem Khedraoui, Abdelkbir Errougui, Yasir S. Raouf, Abdelouahid Samadi, Samir Chtita

“…Herein, we developed an open-source computational pipeline, identified as DockCADD (available at https://github.com/mehdikariim/DockCADD), which enables the identification of potent RSK2 inhibitors by automated virtual screening, ADME-Tox profiling, and molecular dynamics (MD) simulations. …”
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The role of 5G network in revolutionizing agriculture for sustainable development: A comprehensive review by Wasif ur Rehman, Mohsin Ali Koondhar, Samandar Khan Afridi, Lutfi Albasha, Idris H. Smaili, Ezzeddine Touti, Mouloud Aoudia, Wassim Zahrouni, Ibrahim Mahariq, M.M.R. Ahmed

“…This paper presents a comprehensive review of the challenges, considerations, and future directions of integrating 5G technologies into smart agriculture, aligning with Sustainable Development Goals (SDGs) such as SDG 2 (Zero Hunger) and SDG 9 (Industry, Innovation, and Infrastructure).Key topics discussed include the necessity of dense network infrastructure, optimization strategies for cross-deployment of 5G and sensing networks, and the role of edge computing in 5G-enabled farming production. Additionally, the paper explores development optimization of various nodes, fault detection, self-healing mechanisms, AI application optimization, and security issues specific to 5G-enabled smart agriculture. …”
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Adsorption of Mo and O at S-vacancy on ReS2 surface of ReS2/MoTe2 vdW heterointerface by Puneet Kumar Shaw, Jehan Taraporewalla, Sohaib Raza, Akash Kumar, Rimisha Duttagupta, Hafizur Rahaman, Dipankar Saha

“…Applications like high density information storage, neuromorphic computing, nanophotonics, etc. require ultra-thin electronic devices which can be controlled with applied electric field. …”
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