Design of Morlet wavelet neural networks integrated with sequential quadratic programming to analyze the dynamics of Ebola virus disease by Asifa Ashraf, Abaid Ur Rehman Virk, Umar Ishtiaq, Ahmed Samy Mohamed Elwahsh, Ioan-Lucian Popa

“…Unlike previous models, which focused mostly on the general population, our model provides a more in-depth study of public health measures. Artificial neural networks (ANNs) are a highly effective approach for modeling intricate systems due to their ability to accurately approximate nonlinear functions. …”
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Adjuvant endocrine treatment strategies for non-metastatic breast cancer: a network meta-analysisResearch in context by Andri Papakonstantinou, Guillermo Villacampa, Victor Navarro, Mafalda Oliveira, Antonios Valachis, Tomas Pascual, Alexios Matikas

“…Summary: Background: Multiple trials have evaluated escalation strategies of endocrine therapy for early breast cancer, including ovarian function suppression (OFS) and aromatase inhibitors (AI) in premenopausal patients and extended endocrine therapy. …”
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Development of artificial neural network model for predicting the rapid maxillary expansion technique in children with cleft lip and palate by Mohamed Zahoor Ul Huqh, Johari Yap Abdullah, Johari Yap Abdullah, Adam Husein, Adam Husein, Matheel AL-Rawas, Wan Muhamad Amir W. Ahmad, Nafij Bin Jamayet, Mohammad Khursheed Alam, Mohd Rosli Bin Yahya, Siddharthan Selvaraj, Siddharthan Selvaraj, Abedelmalek Kalefh Tabnjh, Abedelmalek Kalefh Tabnjh, Abedelmalek Kalefh Tabnjh

“…A subset of these variables was validated via multilayer feed forward neural network (MLFFNN).ConclusionsThe effectiveness of the hybrid biometric model created in this work, which combines bootstrap and BLR with R-syntax was evaluated in terms of how accurately it predicted a binary response variable. …”
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Manganese mitigates atrazine-induced oxidative stress and hepatorenal toxicity: insights from network pharmacology and in vivo experimentation by Solomon E. Owumi, Tella T. Adedayo, Joseph Chimezie, Bayode Oluwawibe, Harieme Agbarogie, Jesutosin O. Babalola, Oludare M. Ogunyemi, Uche O. Arunsi, Moses T. Otunla, Chioma E. Irozuru, Ahmad Altayyar, Eziuche A. Ugbogu

“…On day 29, body weights were measured, and biochemical assessments were conducted to evaluate antioxidant enzyme profiles, inflammatory biomarkers, oxidative stress markers, and liver function. …”
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Construction of a circRNA-miRNA-mRNA Regulatory Network for the Immune Regulation of Lung Adenocarcinoma by Hanyi Li, Xin Jin, Wei Li, Fan Ren, Tong Li, Xuanguang Li, Haochuan Yu, Dianxun Fu, Zuoqing Song, Song Xu

“…Gene expression and Kaplan-Meier survival analyses were conducted to establish a key regulatory network and to assess immune cell infiltration and Pearson correlation for significant target genes. …”
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An optimized Langendorff-free isolating method and electrophysiology studies for adult mouse atrioventricular node cells by Yuan Chen, Jiaming Zhang, Jiu Pu, Ting Li, Jinfang Yu, Bifang Mai, Shuanglun Xie, Jingdong Li

“…Besides its primary function, the AVN can generate intrinsic pacemaker activity when the SAN fails, and it serves as an important pharmacological target for controlling ventricular rate in the case of atrial arrhythmias. …”
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Wireless key generation system for internet of vehicles based on deep learning by Han WANG, Liquan CHEN, Zhongmin WANG, Tianyu LU

“…In recent years, the widespread application of internet of vehicles technology has garnered attention due to its complex nature and point-to-point communication characteristics.Critical and sensitive vehicle information is transmitted between different devices in internet of vehicles, necessitating the establishment of secure and reliable lightweight keys for encryption and decryption purposes in order to ensure communication security.Traditional key generation schemes have limitations in terms of flexibility and expandability within the vehicle network.A popular alternative is the physical layer key generation technology based on wireless channels, which offers lightweight characteristics and a theoretical basis of security in information theory.However, in the context of internet of vehicles, the movement speed of devices impacts the autocorrelation of generated keys, requiring improvements to traditional channel modeling methods.Additionally, the randomness and consistency of generated wireless keys are of higher importance in applications in internet of vehicles.This research focused on a key generation system based on the wireless physical layer, conducting channel modeling based on line-of-sight and multipath fading effects to reflect the impact of vehicle speed on autocorrelation.To enhance the randomness of key generation, a differential quantization method based on cumulative distribution function was proposed.Furthermore, an information reconciliation scheme based on neural network auto-encoder was introduced to achieve a dynamic balance between reliability and confidentiality.Compared to the implementation of Slepian-Wolf low-density parity-check codes, the proposed method reduces the bit disagreement rate by approximately 30%.…”
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Treatments for rotator cuff calcific tendinitis: a systematic review and network meta-analysis of randomized-controlled trials by Yuming Yao, Guang Yang, Shide Jiang, Bingzhou Ji, Hongfu Jin, Peiyuan Tang, Hengzhen Li, Bangbao Lu, Yusheng Li

“…Methods: The study utilized four electronic databases for literature retrieval and is registered in PROSPERO. Network meta-analyses (NMA) were conducted for continuous outcomes such as functional improvement and pain relief. …”
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Network analysis of the intercorrelations between quality of life, trait mindfulness, and mental health among patients with breast cancer by Loan Xuan Kim, Shin Tae Kim, Bich Ngoc Hoang Truong, Dung Van Do, Dung Xuan Pham, Jee In Kang, Se Joo Kim, Chun Il Park

“…In this cross-sectional study, 196 breast cancer patients completed face-to-face interviews at various treatment phases, using structured questionnaires including the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire–Core 30, the Hospital Anxiety and Depression Scale, the Distress Thermometer, and the Mindful Attention Awareness Scale. Network analysis was conducted using a Gaussian Graphical Model optimized via the Least Absolute Shrinkage and Selection Operator and the Extended Bayesian Information Criterion, with modularity analysis applied to identify community structures. …”
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Injection therapy for carpal tunnel syndrome: A systematic review and network meta-analysis of randomized controlled trials. by Fu-An Yang, Hsun-Yi Wang, Tien-Yu Kuo, Chih-Wei Peng, Tsan-Hon Liou, Reuben Escorpizo, Hung-Chou Chen

“…This systematic review and network meta-analysis was conducted to investigate the effectiveness of different injection therapies in alleviating the symptoms of carpal tunnel syndrome. …”
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The Efficacy and Brain Network Mechanism of Acupuncture for Knee Osteoarthritis: A Study Protocol for Randomized Controlled Neuroimaging Trial by Sun YY, Wang ML, Zhao RH, Hao MY, Song S, Zhou Y, Zhang N

“…Forty healthy subjects will be recruited for observation, with a single MRI scan conducted only at baseline (− 1– 0 week). The primary efficacy indicator will be the change in NRS score after four weeks of treatment, with secondary outcomes including WOMAC, STAI, and safety assessments. fMRI observations will employ independent component analysis, brain network construction, and functional connectivity, complemented by Pearson correlation analysis to explore the relationship between brain responses and clinical improvements.Conclusion: This study will initially uncover how acupuncture intervention for chronic KOA pain centrally regulates and exerts therapeutic effects through the modulation of abnormal brain network functional connectivity patterns, with a demonstrated long-term effect.Ethics and Dissemination: This study has been approved by the ethics committee of Shandong University of Traditional Chinese Medicine Affiliated Hospital ((2024) Lunshen No. (028) - KY).Clinical Trial Registration: This study has been approved by registered in the Chinese Clinical Trial Registry (ChiCTR2400083695).Keywords: acupuncture, knee osteoarthritis, neuroimaging, RCT, protocol…”
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Bridging the Gap Between Theory and Practice: Fitness Landscape Analysis of Real-World Problems with Nearest-Better Network by Yiya Diao, Changhe Li, Junchen Wang, Sanyou Zeng, Shengxiang Yang

“…In this paper, we conduct an in-depth experimental analysis of real-world functions from the CEC 2022 and CEC 2011 competitions using the NBN. …”
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Correlation Analysis Study Between the Intensity of Counseling Friendship Network and Exercise Time Among University Taekwondo Athletics by Sung‐Min Son, Byung‐O Ahn

“…To analyze the intensity of the counseling friendship network, SNA was employed, focusing on the indices of network distribution and centrality. …”
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Personalized EEG-guided brain stimulation targeting in major depression via network controllability and multi-objective optimization by Aihua Wang, Jingnan Sun

“…Abstract Background Major depressive disorder (MDD) is associated with widespread disruptions in brain network dynamics. Although noninvasive brain stimulation (NIBS) has shown promise as an alternative treatment, its efficacy remains limited due to a lack of individualized targeting strategies that account for functional and topological heterogeneity in brain networks. …”
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Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification by M. Venkata Krishna Reddy, L. Raghavendar Raju, Kashi Sai Prasad, Dr. D Anitha Kumari, Vadlamani Veerabhadram, Nagendar Yamsani

“…This study proposes EECAN (Enhanced Effective Convolutional Attention Network) as the overall model architecture and EAB-CDC (Encoder and Attention-Based Clinical Document Classification) as a core strategy conducted in EECAN. …”
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Modified Bron–Kerbosch-Based Sensor Deployment Algorithm for Target Coverage in Wireless Sensor Networks by P. Surya Bharathi, R. Pavithra

“…The growing adoption of Wireless Sensor Network (WSN) technologies has highlighted several critical factors that are vital for their efficiency and functionality. …”
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Bioinformatics deciphers the thebaine biosynthesis pathway in opium poppy: Hub genes, network analysis, and miRNA regulation by Zahra Shirazi, Mahsa Rostami, Abozar Ghorbani, Pietro Hiram Guzzi

“…Utilizing STRING and Cytoscape, we analyzed gene interactions and visualized the molecular interaction network, respectively. To identify hub proteins, CytoHubba was administered. …”
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Tracking Control of Wave-Adaptive Modular Unmanned Surface Vehicle Using Time-Delay Zeroing Neural Network by Pengfei Guo, Wenyue Zhang, Zheng Li, Zheng Zheng

“…These formulas are used to approximate the second and third derivatives of smooth functions. Building on these innovative BFDFs, we introduce a second-order tracking controller utilizing a multiple zeroing neural network (ZNN) model with time delay to address the tracking control of the wave-adaptive modular vessel’s vertical motion dynamics (WAMV-VMD) system. …”
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Exploring NamiRNA networks and time-series gene expression in osteogenic differentiation of adipose-derived stem cells by Xin Jin, Yi Lu, Zhihong Fan

“…The differentiation of ADSCs into osteoblasts underlies osteogenic and pathological cellular basis in osteoporosis, bone damage and repair.Methods Focused on ADSCs osteogenic differentiation, we conducted mRNA, microRNA expression and bioinformatics analysis, including gene differential expression, time series-based trend analysis, functional enrichment, and generates potential nuclear activating miRNAs (NamiRNA) regulatory network. …”
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Assessment of mesenchymal stem cells for the treatment of spinal cord injury: a systematic review and network meta-analysis by Runfang Wang, Yiding Wang, Fangning Yan, Jinqing Sun, Tianyu Zhang

“…The results showed that MSCs significantly improved motor, sensory, and activities of daily living activities after SCI. Network meta-analysis indicated that umbilical cord mesenchymal stem cells (UCMSCs) were the most effective cell source, and intrathecal injection (IT) was the optimal transplantation method.ConclusionThe study suggests that the current use of UCMSCs for IT transplantation may be the best transplantation strategy for improving functional impairment after SCI. …”
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