A unified multimodal learning method for urban functional zone identification by fusing inner-street visual–textual information from street-view and satellite images by Jiajun Chen, Runyu Fan, Hongyang Niu, Zijian Xu, Jining Yan, Weijing Song, Ruyi Feng

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The effects of nine types of exercise rehabilitation therapies on improving limb balance, cognitive and emotional function, and quality of life in elderly patients with Parkinson’s... by Jing Mao, Jing Mao, Yi Xia, Yimin Hu, Xuewu Yao

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Experimental Results on Bistatic Radar Based on 5G OFDM Synchronization Signal by Van Tuan Nguyen

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Inherent structural vulnerabilities in power distribution networks: a longitudinal complex network analysis by Bálint Hartmann, Tamás Soha, Michelle T. Cirunay, Tímea Erdei

“…To test this, a complex network analysis was conducted and probability functions of degree, closeness and betweenness centrality were examined. …”
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Recent Development of Fibrous Hydrogels: Properties, Applications and Perspectives by Wen Luo, Liujiao Ren, Bin Hu, Huali Zhang, Zhe Yang, Lin Jin, Di Zhang

“…However, the challenge of balancing mechanical properties and functions hinders their further development. This article reviews the main advantages of FGs, including enhanced mechanical properties, high conductivity, high antimicrobial and anti‐inflammatory properties, stimulus responsiveness, and an extracellular matrix (ECM)‐like structure. …”
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Assessment of Bucharest Metro Expansion and Its Correlation with the Territorial System by Vasile Dragu, Floriana Cristina Oprea, Eugenia Alina Roman

“…The research methodology consisted of conducting a topological analysis of the graph representing the metro network, along with a functional analysis. …”
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Insights into the Estimation of the Enhanced Thermal Conductivity of Phase Change Material-Containing Oxide Nanoparticles using Gaussian Process Regression Method by Tzu-Chia Chen, Hasan Sh. Majdi, Aras Masood Ismael, Jamshid Pouresmi, Danial Ahangari, Saja Mohammed Noori

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Exploring an n-type conducting polymer (BBL) as a potential gas sensing material for NH3 and H2S detection by Sonu Sunny, Sushri Soumya Jena, Shivam Shah, Bhavika Gopalani, Arnab Hazra, Mohit Garg, Sarbani Ghosh

“…Moreover, both H $$_{2}$$ S and NH $$_{3}$$ gas adsorption happen without compromising the size of the $$\pi -\pi$$ stacked crystallites within the polymer film, which indicates, upon detection of reducing gases, the generated free electrons via the redox reactions between the gas molecules and polymer, will be able to be smoothly transported through the $$\pi -\pi$$ stack network present in the film. The detailed theoretical insights obtained from this study indicate the suitability of the n-type conducting polymer, BBL, for detecting reducing gases, NH $$_{3}$$ and H $$_{2}$$ S.…”
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High‐Conductivity, Self‐Healing, and Adhesive Ionic Hydrogels for Health Monitoring and Human‐Machine Interactions Under Extreme Cold Conditions by Fei Han, Shumeng Chen, Fei Wang, Mei Liu, Jiahui Li, Hao Liu, Yanshen Yang, Haoqing Zhang, Dong Liu, Rongyan He, Wentao Cao, Xiaochuan Qin, Feng Xu

“…The hydrogel is designed with a hydrogen‐bonded and chemically crosslinked network, achieving excellent conductivity (0.49 ± 0.05 S m−1), adhesion (36.73 ± 2.28 kPa), and self‐healing capacity even at −80 °C. …”
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Neural Networks in solving Minesweeper by Kamil Lubarski, Beniamin Samujło, Kacper Wszeborowski

“…The CNN emerged as the best-performing network. Based on the tests conducted by this network, a decision tree was constructed that represents the network’s logic for these specific tests with approximately 90% accuracy. …”
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Green Supply Chain Risk Network Management and Performance Analysis: Bayesian Belief Network Modeling by Mahdi Shakeri, Azim Zarei, Adel Azar, Morteza Maleki Minbash Razgah

“…This study represents a GSC risk network model that considers the interrelationships between risks in order to achieve an optimal level of performance measures defined in the supply chain by Bayesian Belief Networks (BBN). …”
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Study on resting-state functional connectivity characteristics under hypnosis using functional near-infrared spectroscopy by Zhisong Zhang, Zhisong Zhang, Wanqiu Tan, Yuhong Ma, Min Zheng, Yuan Zhang, Jiaming Wei, Jiaming Wei, Yaozu Wang, Zhimeng Li, Zhifei Li, Roger C. Ho, Roger C. Ho

“…However, the mechanisms by which hypnosis influences brain activity and functional network connectivity remain unclear. This study employed functional near-infrared spectroscopy (fNIRS) to investigate resting-state functional connectivity (rsFC) under hypnosis.MethodsTwenty-six healthy college students participated in the study. …”
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Multifunctional Carbon Foam with Nanoscale Chiral Magnetic Heterostructures for Broadband Microwave Absorption in Low Frequency by Hao Zhang, Kaili Kuang, Yifeng Zhang, Chen Sun, Tingkang Yuan, Ruilin Yin, Zeng Fan, Renchao Che, Lujun Pan

“…Highlights A novel multifunctional carbon foam with nanoscale chiral magnetic heterostructures is constructed, in which the interconnection network provides strong conduction loss. The interfacial polarization loss induced by the FeNi-carbon interfaces is confirmed by the density functional theory calculations, and the magnetic pinning and coupling effects are revealed by the micromagnetic simulation. …”
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Vehicular ad hoc networks verification scheme based on bilinear pairings and networks reverse fuzzy extraction by Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Ahmed Ali Ahmed, Junchao Ma, Mustafa A. Al Sibahee, Mohammed Abdulridha Hussain, Zaid Alaa Hussien, Ali Hasan Ali, Abdulla J. Y. Aldarwish, Husam A. Neamah

“…Abstract Vehicular Ad-Hoc Networks (VANETs) have facilitated the massive exchange of real-time traffic and weather conditions, which have helped prevent collisions, reduce accidents, and road congestions. …”
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Brain functional alternation in patients with systemic sclerosis: a resting-state functional magnetic resonance imaging study by Xinyu Tong, Huilin He, Shihan Xu, Rui Shen, Zihan Ning, Xiaofeng Zeng, Qian Wang, Dong Xu, Zuo-Xiang He, Xihai Zhao

“…Functional integration analysis was conducted using group independent component analysis to calculate intra-network and inter-network functional connectivity (FC). …”
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The Impact of Chronic Pain on Cognitive Function by Milan Patel, Jamal Hasoon, Rodrigo Diez Tafur, Giuliano Lo Bianco, Alaa Abd-Elsayed

“…Sources included large-scale cohort studies, functional MRI analyses, and neurobiological investigations focusing on prefrontal cortex activity, default mode network alterations, and gray matter atrophy. …”
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A social dynamics of the development of community network: problems raised by two cases of community network development by Dong Hee Shin

“…</b> A case study was conducted on the broadband community network. Qualitative data were collected primarily through in-depth interviews, drawing on the retrospective data of diverse stakeholders: strategic policy groups, user groups, technical groups and functional groups. …”
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Deep LBLS: Accelerated Sky Region Segmentation Using Hybrid Deep CNNs and Lattice Boltzmann Level-Set Model by Fatema A. Albalooshi, M. R. Qader, Yasser Ismail, Wael Elmedany, Hesham Al-Ammal, Muttukrishnan Rajarajan, Vijayan K. Asari

“…Our algorithm is implemented by leveraging three types of CNNs, namely DeepLabV3+, Fully Convolutional Network (FCN), and SegNet. Additionally, we utilize a local image fitting level-set function to characterize the region-based active contour model. …”
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Ivacaftor–tezacaftor–elexacaftor, tezacaftor–ivacaftor and lumacaftor–ivacaftor for treating cystic fibrosis: a systematic review and economic evaluation by Steven J Edwards, Benjamin G Farrar, Kate Ennis, Nicole Downes, Victoria Wakefield, Isaac Mackenzie, Archie Walters, Tracey Jhita

“…Cystic fibrosis transmembrane conductance regulator gene modulator therapies treat the underlying cause of CF by altering the form or function of the CFTR protein. …”
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Evaluation of Rehabilitation Outcomes in Patients with Chronic Neurological Health Conditions Using a Machine Learning Approach by Gabriele Santilli, Massimiliano Mangone, Francesco Agostini, Marco Paoloni, Andrea Bernetti, Anxhelo Diko, Lucrezia Tognolo, Daniele Coraci, Federico Vigevano, Mario Vetrano, Maria Chiara Vulpiani, Pietro Fiore, Francesca Gimigliano

“…The secondary objectives include assessing mental status and sensory and communication functions, and identifying predictive factors for BI improvement using an artificial neural network (ANN). …”
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