Characterization and functional analysis of the BAM gene family in peanut (Arachis hypogaea L.) by Chaonan Shi, Peilin Li, Long Li, Long Li, Zhitao Qi, Tong Lu, Jinming Shi, Haodong Yang, Jin Wu, Jingyu Guo, Minghui Liu, Xiaozong Wu

“…AhBAM3 emerged as a key node within the protein-protein interaction network, then the GO analysis pinpointed starch metabolism and drought response as the primary functional enrichments for this gene family. …”
Get full text

Assessment of NUDT5 in Endometrial Carcinoma: Functional Insights, Prognostic and Therapeutic Implications by Hongfei Yu, Lingling Zu, Yuqin Zang, Fei Teng, Tao Wang, Ming Wu, Yingmei Wang, Fengxia Xue

“…Immunohistochemistry was used to evaluate NUDT5 protein levels and their correlation with clinicopathological features. Functional assays, including cell proliferation, migration, invasion, and apoptosis analysis, were conducted to determine the oncogenic effects of NUDT5 in vitro. …”
Get full text

A Comprehensive Integrated Security Model with Advanced Access Control for Enhancing WSN Computing in IoT Frameworks by Navaneethan S., Arun A.

“…Wireless Sensor Network (WSN) Computing has emerged as a pivotal intermediary process addressing latency challenges inherent in Cloud-oriented Internet of Things (IoT) services. …”
Get full text

Cross-Network User Identity Linkage Method with Deep Learning Based on SDNE Embedding Representation by CHENG Jialin, YUAN Deyu, SUN Zeyu, CHEN Ziyan

“…Secondly, the deep neural network is used to construct the mapping function to obtain the accurate expression of user nodes. …”
Get full text

Calculation of the steady-state mode of the electric network using a genetic algorithm by V. I. Polischuk, V. A. Tkachenko, A. O. Shepelev

“…The subject of the study is the objective function of the genetic algorithm, which can be used to find voltage levels in the nodes of the electric network. …”
Get full text

Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions by Akiyoshi Sutou, Jinfang Wang

“…Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent studies on loss functions for imbalanced data have primarily focused on deep learning. …”
Get full text

An Extension of the Quadratic Error Function for Learning Imprecise Data in Multivariate Nonlinear Regression by Castro Gbêmêmali Hounmenou, Kossi Essona Gneyou, Romain Glélé Kakaï

“…The simulation study and application case on real datasets conducted and based on multilayer perceptron neural networks (MLP) with bivariate continuous response and asymmetric revealed a significant gain in precision using the new quadratic error function for these types of data rather than using a classical generalized least squares error function having any covariance matrix.…”
Get full text

Deep nested U-structure network with frequency attention for building semantic segmentation by Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu, Mugahed A. Al-antari

Get full text

Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…Using multiple densely connected independent artificial neural networks (ANNs), called feedforward deep neural networks designed to handle partial differential equations, PINNs have been trained through automatic differentiation to minimize a loss function that incorporates the given PDE that governs the physical laws of phenomena. …”
Get full text

Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks by N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari

“…In this study, two machine learning models, namely the multilayer perceptron (MLP) and the radial basis function (RBF) networks, were employed to predict rut depth.Materials and MethodsExperiments were conducted using a soil bin that allows for precise control of independent parameters, measuring 24 meters in length, 2 meters in width, and 0.8 meters in depth. …”
Get full text

Coverage optimization of wireless sensor network utilizing an improved CS with multi-strategies by Sen-Yu Yang, Chang-Feng Chen, Kai-Qing Zhou, Yun Ou

“…First, a numerical comparison is provided, a numerical comparison is presented by contrasting the performance of ICS-MS with the standard CS and its variations employing different strategies in terms of function optimization results. Second, a series of coverage optimization experiments are conducted under various scenarios. …”
Get full text

Using the organizational network analysis to build competitiveness on the example of enterprise energy sector by Wawrzynek Łukasz

“…The learning of the actual relations is possible with the application of the organizational network analysis. This paper presents an example of applying organizational networks in an enterprise, on the basis of a conducted study. …”
Get full text

Surgery for Trapeziometacarpal Joint Arthritis: A Network Meta-Analysis of Randomized Studies by Dimitris Challoumas, MBBCh, FRCS, Ali Hamad, MBChB, Varun Rana, MBChB, Amit Putti, MBBS, FRCS, Neal L. Millar, FRCS, PhD

“…Purpose: Our aim was to compare the efficacy and safety of the available surgical interventions for trapeziometacarpal joint (TMCJ) arthritis. Methods: We conducted a systematic review and network meta-analysis of randomized studies comparing surgical interventions for TMCJ arthritis. …”
Get full text

Reducing torque ripple for switched reluctance motors by current reshaping neural network by Benqin Jing, Guofu Liang, Xuanju Dang, Yanjun Jiang

“…In this paper, a current reshaping neural network (CRNN) is proposed to mitigate the torque ripple. …”
Get full text

Investigation of the plane wave coupling to a linearly loaded transmission line network by L. M. Galeev

“…The article is concerned with a complex investigation of the influence of the plane wave coupling with a certain function of time, incident direction and polarization to a linearly loaded transmission line network comprised of three single-wire conductors with different lengths connected in the center. …”
Get full text

Identification of Rotary Machines Excitation Forces Using Wavelet Transform and Neural Networks by Francisco Paulo Lepore, Marcelo Braga Santos, Rafael Gonçalves Barreto

“…The rotary machine dynamic model is a neural network trained with measured vibration signals previously decomposed by wavelets. …”
Get full text

Probing the molecular mechanism of kaempferol in relieving rheumatoid arthritis based on network pharmacology by Haomiao Liu, Huangying Lu, Xuefei Fan, Suhuan Chen, Xiaoyu Chen, Weilu Gao

“…This study constructed targets protein interaction networks by utilizing the String platform. The analysis of GO function and kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment was performed on key target genes. …”
Get full text

Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations by Nikolas Hohmann, Sebastian Brulin, Jurgen Adamy, Markus Olhofer

“…It proposes three objective functions that evaluate the network from the economic perspectives of network providers and users and the city residents’ social point of view. …”
Get full text

PFFNet: A pyramid feature fusion network for microaneurysm segmentation in fundus images by Jiaxin Lu, Beiji Zou, Xiaoxia Xiao, Qinghua Peng, Junfeng Yan, Wensheng Zhang, Kejuan Yue

“…Furthermore, to mitigate issue related to category imbalance, a combo loss function is introduced. Finally, to validate the effectiveness of the proposed method, experiments are conducted on two publicly available datasets, IDRiD and DDR, and PFFNet is compared with several state‐of‐the‐art models. …”
Get full text

Synthesis and Networking of Spaceborne Deployable Prismatic Antenna Mechanisms Based on Graph Theory by Jialong Zhu, Chuang Shi, Xiaodong Fan, Xiaofei Ma, Hongwei Guo, Shikun Zheng, Rongqiang Liu

“…A prototype was fabricated by 3D printing, and an expansion and retraction function test was conducted, which verified the correctness of the theoretical analysis in this paper. …”
Get full text