Thalamic neural activity and epileptic network analysis using stereoelectroencephalography: a prospective study protocol by Takahiro Suzuki, Ryuta Saito, Tomotaka Ishizaki, Satoshi Maesawa, Shun Yamamoto, Miki Hashida, Yoshiki Ito, Takafumi Tanei

“…The thalamus plays a crucial role in coordinating neural networks, both in normal brain function and the propagation of epileptic activity. …”
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Direct detection with an optimal transfer function: toward the electrical spectral efficiency of coherent homodyne detection by Xingfeng Li, Jingchi Li, Xiong Ni, Hudi Liu, Qunbi Zhuge, Haoshuo Chen, William Shieh, Yikai Su

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Inverse binary optimization of convolutional neural network in active learning efficiently designs nanophotonic structures by Jaehyeon Park, Zhihao Xu, Gyeong-Moon Park, Tengfei Luo, Eungkyu Lee

“…In this paper, we introduce an inverse binary optimization (IBO) scheme that optimizes a surrogate function based on a convolutional neural network (CNN) within an active learning framework. …”
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Effect of Self-Care Education Based on Virtual Networks on Quality of Life in HIV-Positive Patients by Anna Amini, Akram Peyman, Monireh Hatami

“…Aims: Given the prevalence of AIDS and the need to enhance self-care programs and improve quality of life, the aim of the present study was to determine the effect of self-care education based on virtual networks on quality of life in HIV-positive patients. …”
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Dihydroartemisinin induces tumor suppression in the Drosophila brain tumor with functional recovery and a rescue in lethality by Sushree Sulava, Bhavishya Vashist, Kaustubh Sawant, Debasmita Pankaj Alone

“…The behavioral assay conducted to correlate tumor suppression with the restoration of brain function demonstrated restored locomotory abilities comparable to those of the wild-type strain. …”
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Functional and structural brain remodeling in patients with degenerative cervical myelopathy following cervical decompression surgery by Bingyong Xie, Haoyu Ni, Jiyuan Yao, Zhibin Xu, Sicheng Bian, Haoxiang Wang, Kun Zhu, Xianyong Wu, Peiwen Song, Yuanyuan Wu, Yongqiang Yu, Fulong Dong

“…Moreover, macrostructural changes manifest more gradually, with the recovery of brain function depending more on compensation and remodeling within neural networks than solely on structural restoration.…”
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Insights from Femtosecond Transient Absorption Spectroscopy into the Structure–Function Relationship of Glyceline Deep Eutectic Solvents by Rathiesh Pandian, Clemens Burda

“…This study aimed to determine the structure–function relationship (SFR) for ChCl–glycerol mixtures, a deep eutectic solvent (DES), by investigating their microscopic solvation dynamics and how it relates to their macroscopic properties across varying concentrations of ChCl. …”
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Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network by Gang Liu, Jiangtao Xi, Chao Ma, Huixiang Chen

“…This paper constructs an infrared aircraft detection algorithm based on a high-resolution feature-enhanced semantic segmentation network which combines the location attention feature fusion network, the hybrid atrous spatial pyramid pooling module, the dice loss function, and a network that maintains the resolution of feature maps. …”
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Identification of circRNA-mediated competing endogenous RNA network involved in the development of cervical cancer by Shaosheng Lou, Wang Yang, Qian Zhao, Yunshan Ouyang, Lingling Cao, Chen Lin

“…The circRNA-miRNA-mRNA interaction network was conducted with the assistance of Cytoscape. …”
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Network pharmacology analyses and corresponding validation of the mechanistic effects of Yangyin Tongnao Granules in ischemic stroke by Jiaying Yu, Qianqian Chen, Xiaotong Dou, Rongjin Zhu, Jiehong Yang, Weifeng Jin, Haitong Wan, Li Yu, Yangyang Zhang

“…Protein–protein interaction (PPI) analyses were conducted in Cytoscape. GO and KEGG analyses were performed in R4.2.3 and used to clarify the functions of particular genes and associated signaling pathways. …”
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A REVIEW OF SDN AND NFV INTEGRATION IN 5G CORE NETWORK: BENEFITS, CHALLENGES AND SOLUTIONS by Camila Ojito Martín, Abel Castillo Travieso, Alain Abel Garófalo Hernández

“… The integration of Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies in the 5G Core (5GC) represents a crucial advancement in the telecommunications sector. …”
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A REVIEW OF SDN AND NFV INTEGRATION IN 5G CORE NETWORK: BENEFITS, CHALLENGES AND SOLUTIONS by Camila Ojito Martín, Abel Castillo Travieso, Alain Abel Garófalo Hernández

“… The integration of Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies in the 5G Core (5GC) represents a crucial advancement in the telecommunications sector. …”
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Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making by Zhengyang Hu, Viren Parwani, Guiping Hu

“…Sensitivity analyses on degree of feasibility, the weighing of objective functions and coefficient of compensation have been conducted. …”
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A Lightweight Caching Decision Strategy Based on Node Edge-Degree for Information Centric Networking by Qifeng Yang, Haojiang Deng, Lingfang Wang

“…In-networkcaching as a core function in ICN can greatly improve the content distribution efficiency and reduce redundant network traffic. …”
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Construction Concrete Price Prediction Based on a Double-Branch Physics-Informed Neural Network by Kaier Shi, Ruiqing Han, Zhipeng Li, Pan Guo

“…In particular, this model utilizes an Artificial Neural Network (ANN) as the baseline algorithm and incorporates physical constraints, such as a Multiple Linear Regression (MLR) model and a Vector Error Correction Model (VECM) to modify the loss function. …”
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Classification of Review Text using Hybrid Convolutional Neural Network and Gated Recurrent Unit Methods by Fiqih Fathor Rachim, Auli Damayanti, Edi Winarko

“…This study aims to classify review texts using the Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) methods. …”
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Artificial Neural Network (ANN) Modeling of Plasma and Ultrasound-assisted Air Drying of Cumin Seeds by M. Namjoo, M. Moradi, M. A. Nematollahi, H. Golbakhshi

“…Therefore, the wavelet-based neural network (WNN), the multilayer perceptron neural network (MLPNN), and the radial-basis function neural network (RBFNN), as three well-known artificial neural networks models, were used to map the inputs and output data and the results were compared with the Multiple Quadratic Regression (MQR) analysis. …”
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Fault-Tolerant Control of Steer-by-Wire System Based on Sliding Mode Observer With Neural Network by Rongji Yang, Daozheng Liao

“…Secondly, a sliding mode observer with neural network is designed, which utilizes an adaptive radial basis function (RBF) neural network to reconstruct the internal and external uncertainties, as well as the fault-induced uncertainty, and employs the terminal sliding mode algorithm to ensure fast convergence of observation errors. …”
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Pressure-Dependent Thermal Network Model for Press-Pack Power Modules with Prognostics of Mechanical Status by Yao Chang, Yu Zhou, Ankang Zhu, Haoze Luo, Wuhua Li, Chushan Li, Francesco Iannuzzo, Xiangning He

“…Then, thermal experiments under different pressures on chips are conducted and the pressure-variable temperature responses of the thermal network are measured. …”
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Energy-Efficient Prediction of Carbon Deposition in DRM Processes Through Optimized Neural Network Modeling by Rui Fang, Tuo Zhou, Zhuangzhuang Xu, Xiannan Hu, Man Zhang, Hairui Yang

“…To overcome these limitations, we conducted a systematic comparison between backpropagation (BP) and radial basis function (RBF) neural network models. …”
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