Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“… Background and Aim: The increasing adoption of artificial intelligence (AI) in medical research offered alternative methods for medical data processing. This study evaluated comparatively the predictive performance of feedforward neural networks (FFNN) regression versus classical statistical regression analysis in estimating the risk of post-COVID-19 type 2 diabetes based on metabolic factors. …”
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Soil Fungal Diversity, Community Structure, and Network Stability in the Southwestern Tibetan Plateau by Shiqi Zhang, Zhenjiao Cao, Siyi Liu, Zhipeng Hao, Xin Zhang, Guoxin Sun, Yuan Ge, Limei Zhang, Baodong Chen

“…Despite substantial research on how environmental factors affect fungal diversity, the mechanisms shaping regional-scale diversity patterns remain poorly understood. This study employed ITS high-throughput sequencing to evaluate soil fungal diversity, community composition, and co-occurrence networks across alpine meadows, desert steppes, and alpine shrublands in the southwestern Tibetan Plateau. …”
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Time-Course Renal and Pulmonary Injury Analysis and Bioinformatics Screening of Core Pathogenic Genes and Immune Cell Infiltration Patterns in a Sepsis by Apizi A, Li J, Kamilijiang P, Yang CB, Wang ZK, Chai RF, Yu ZX

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Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network by Xiaotong Wei, Ronglong Xiong, Ping Xu, Tingting Zhang, Junjun Zhang, Zhenlan Jin, Ling Li

“…Abnormal inter-regional structural covariance suggests disruption of the brain structural network in MCI. Most studies have examined group-level structural covariance alterations while ignoring individual-level differences. …”
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DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model by Md. Ashikur Rahman, Md. Mamun Ali, Kawsar Ahmed, Imran Mahmud, Francis M. Bui, Li Chen, Santosh Kumar, Mohammad Ali Moni

“…This study introduces DeepQSP, a novel technique for QSP identification, which combines Latent Semantic Analysis (LSA), a word embedding feature extraction method, with classical amino acid-based extraction Pseudo Amino Acid Composition (PAAC), and a convolutional neural network (CNN) classifier. The DeepQSP model was evaluated using a dataset of 440 peptide sequences, achieving impressive performance metrics: 0.9697 accuracy, 0.9655 sensitivity, 0.9730 specificity, and a Matthews correlation coefficient (MCC) of 0.9385. …”
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Exploring the interaction effects of subclinical hypothyroidism and major depressive disorder on brain networks by Shuai Zhao, Jindan Wu, Xiaomei Liu, Yishan Du, Xiaoqin Wang, Yi Xia, Hao Sun, Haowen Zou, Xumiao Wang, Zhilu Chen, Rui Yan, Hao Tang, Qing Lu, Zhijian Yao

“…Each participant received resting-state functional magnetic resonance imaging scans and underwent neuropsychological evaluations. Results We found significantly altered functional connectivity (FC) within the resting-state networks (RSNs) of the ventral and dorsal sensorimotor network (VSMN and DSMN) and occipital pole visual network (PVN) (p < 0.05, FDR corrected). …”
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The Importance of X-Ray in Examination of Lungs in Patients with Inhalation Trauma by E. A. Beresneva, T. G. Spiridonova, E. A. Zhirkova, M. V. Barinova, T. I. Semenova, P. A. Brygin, O. A. Zabavskaya, E. P. Sokolova, E. A. Lapshina, A. S. Orlov

“…Using a statistical evaluation, we showed that the presence of network deformation of the pulmonary pattern under the conditions of IT is an objective feature, confirmed with Cohen’s kappa coefficient (0.6±0.14; 95% CI [0.32–0.88]).…”
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Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol by Bruno Bonnechère, Dominique Hansen, Kim Daniels, Sharona Vonck, Jolien Robijns, Annemie Spooren

“…Machine learning will analyse data, employing unsupervised learning (eg, hierarchical clustering) to identify PA behaviour patterns and supervised learning (eg, recurrent neural networks) to predict behavioural influences. …”
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A Dual-band Planar Antenna for Wireless Local Area Network Applications by Yasser A. Fadhel

“…Simulation results for the input reflection coefficient, realized gain, and radiation pattern have been considered to evaluate their features. …”
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Securing Automotive Networks from DoS and Fuzzy Attacks with Optimized LSTM Models by W. Beniel Dennyson, C. Jothikumar

“…Abstract Intelligently connected automobiles have come a long way thanks to the deep integration of cutting-edge networked gadgets and advancements in automotive technology. …”
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Compact Dual-Band Wearable Antenna for Wireless Body Area Network Applications by Farzad Mohajeri, Maryam Darabi

“…The antenna's performance was further evaluated on a phantom model of chest tissue, demonstrating stable operation over body tissues. …”
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An adaptive hexagonal deployment model for resilient wireless sensor networks in precision agriculture by Zhang Yinjun

“…Abstract This study presents an innovative hexagonal deployment model designed specifically for wireless sensor networks (WSNs) with a primary application in precision agriculture. …”
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Short Text Classification Based on Enhanced Word Embedding and Hybrid Neural Networks by Cunhe Li, Zian Xie, Haotian Wang

“…To improve the performance of short text classification, this paper proposes a Word2Vec-based enhanced word embedding method and exhibits the design of a dual-channel hybrid neural network architecture to effectively extract semantic features. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

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Exploring Blockchain&#x2013;IoT Convergence for Logistics Traceability: A Systematic Review and Future Outlook by Yahaya Saidu, Shuhaida Mohamed Shuhidan, Izzatdin Abdul Aziz, MD Mahmudul Alam, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Shamsuddeen Adamu

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Patterns of opioid use (codeine, morphine or meperidine) in the Canadian population over time: analysis of the Longitudinal National Population Health Survey 1994–2011 by Elizabeth M Badley, Y Raja Rampersaud, Mayilee Canizares, J Denise Power

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Evaluation of multi-source precipitation products for monitoring drought across China by Yongyi Yuan, Boyi Liao

“…By applying various drought and evaluation indices across various timescales, this analysis captures short and long-term climate variations, assessing each product’s accuracy across diverse regions. …”
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Impact of Geopolitical and International Trade Dynamics on Corporate Vulnerability and Insolvency Risk: A Graph-Based Approach by Yu Zhang, Elena Sánchez Arnau, Enrique A. Sánchez Pérez

“…Through the integration of data from sources such as the World Trade Organization, national customs, and international relations research centers, a quantitative, exploratory, and descriptive approach based on graph theory, random forest, multivariate regression models, and neural networks is developed. This quantitative system makes it possible to identify patterns of risk propagation and to evaluate the degree of vulnerability of each country according to its commercial and financial structure. …”
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Combining Style Transfer in a Frame with Random Rotation Using Convolutional Neural Networks by Mahdi Musa Semnani, Kourosh Kiani

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The spatial correlation network evolution and influencing factors of industrial carbon emission efficiency in China by Zeni Wang, Xinmei Wang, Zhipeng Fan, Ciran Feng, Xiaoling Qiu, Wei He

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