Exogenous acetate mitigates later enhanced allergic airway inflammation in a menopausal mouse model by Evelyn Roxana Perez Umana, Eduardo Mendes, Mateus Campos Casaro, Mariana Lazarini, Fernando A. Oliveira, Anne I. Sperling, Caroline Marcantonio Ferreira

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Building Cyber-Attack Immunity in Electric Energy System Inspired by Infectious Disease Ecology by Hussain M. Mustafa, Sajan K. Sadanandan, Anurag K. Srivastava, Arif R. Sarwari, Rebecca Reece

“…This dynamic mirrors the evolutionary processes observed in infectious disease ecology within microbial and human host systems. …”
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Evaluation of Neurovascular Coupling Behaviors for FES-Induced Wrist Movements Based on Synchronized EEG-fNIRS Signals by He Mao, Haotian Meng, Qiyun Tan, Oluwarotimi Williams Samuel, Guanglin Li, Peng Fang

“…Oxygenated (HbO) and deoxygenated (HbR) hemoglobin concentrations were computed from the fNIRS signals, event-related (de-)synchronization (ERD/ERS) was computed from the EEG in alpha and beta bands, and transfer entropy (TE) was used to assess the coupling between the two signals. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…The use of the proposed computer vision model to obtain contours of water bloom due to phytoplankton will provide for the creation of databases — the basis for environmental monitoring of water resources and predictive modeling of hydrobiological processes.…”
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Electro–optic coupling modulation on persistent photoconductivity and memristive states in thin-film devices with MoOx/ZnO heterostructured electrodes by Fushun Li, Xuanhe Li, Jiale Su, Zhenxin Yang, Haikun Zhu, Jinquan Huang, Deng-Ke Wang, Zheng-Hong Lu, Qiang Zhu

“…Persistent photoconductivity (PPC)-based devices that utilize light regulation for non-volatile memristors not only enable biological neural functions and integrate memory and computing capabilities, thereby eliminating energy consumption for signal conversion, but also mitigate Joule heating through optical control, thus promising higher energy efficiency. …”
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Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India by Thamizh Vendan Tarun Kshatriya, Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Nivas Raj Moorthi, Dhanaraju Muthumanickam, Kaliaperumal Ragunath, Jagadeeswaran Ramasamy

“…A total of 43 SCORPAN-based environmental covariates were considered, of which 37 covariates were retained after the recursive feature elimination (RFE) process. The validation and test results obtained for each of the soil attributes for both the algorithms were most comparable with the DL-MLP algorithm depicting the attributes’ most intricate spatial organization details, compared to the 1D-CNN model. …”
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Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks by Ayush Khot, Xiwei Wang, Avik Roy, Volodymyr Kindratenko, Mark S Neubauer

“…EDL is a DL approach that treats learning as an evidence acquisition process designed to provide confidence (or epistemic uncertainty) about test data. …”
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Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

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Ge Enrichment of Ge–Sb–Te Alloys as Keystone of Flexible Edge Electronics by Sabrina Calvi, Marco Bertelli, Sara De Simone, Francesco Maita, Simone Prili, Adriano Diaz Fattorini, Fabio De Matteis, Valentina Mussi, Flavia Righi Riva, Massimo Longo, Fabrizio Arciprete, Raffaella Calarco

“…Abstract Edge computing architectures are intended to store and process data nearby the sensor, while ensuring fast and safe data processing, low power consumption and cost minimization. …”
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Seasonal and interannual variability in CO₂ fluxes in southern Africa seen by GOSAT by E.-M. Metz, S. N. Vardag, S. N. Vardag, S. Basu, S. Basu, M. Jung, A. Butz, A. Butz, A. Butz

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Association analysis between polygenic risk scores and traits: practical guidelines and tutorial with an illustrative data set of schizophrenia by Itziar Irigoien, Patricia Mas-Bermejo, Patricia Mas-Bermejo, Sergi Papiol, Sergi Papiol, Sergi Papiol, Neus Barrantes-Vidal, Neus Barrantes-Vidal, Neus Barrantes-Vidal, Araceli Rosa, Araceli Rosa, Araceli Rosa, Concepción Arenas

“…Most methodological Polygenic Risk Score (PRS)-related papers explain the laborious process of computing the PRS in great depth. Afterwards, as a last step, it is generally described that to test a possible association between a PRS and a trait of interest, an analysis through regression models (linear or logistic, depending on data type) should be carried out adjusting for covariates (e.g., sex, age, clinical information, or genetic ancestry-based Principal Components). …”
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Optimal performance design of bat algorithm: An adaptive multi‐stage structure by Helong Yu, Jiuman Song, Chengcheng Chen, Ali Asghar Heidari, Yuntao Ma, Huiling Chen, Yudong Zhang

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Hybrid Big Bang-Big crunch with cuckoo search for feature selection in credit card fraud detection by Mohd Shukri Ab Yajid, Nilesh Bhosle, Gadug Sudhamsu, Ali Khatibi, Sahil Sharma, Rubal Jeet, R. Sivaranjani, A. Bhowmik, A. Johnson Santhosh

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A semiconducting supramolecular Co(II)-metallogel based resistive random access memory (RRAM) design with good endurance capabilities by Arpita Roy, Subhendu Dhibar, Saurav Kumar, Kripasindhu Karmakar, Parul Garg, Pradip Ruidas, Subham Bhattacharjee, Ashok Bera, Bidyut Saha, Soumya Jyoti Ray

“…Their advantages lie in their fabrication process, reliable resistive switching behavior and overall performance stability.…”
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Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom

“…Consequently, the analysis of simulation models based on soft computing proves to be a practical and invaluable alternative. …”
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Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety by Shuangping Li, Bin Zhang, Guangqin Tong, Yonghua Li, Zuqiang Liu, Bo Shi, Jun Geng, Dingming Liu, Huawei Wang, Qingsong Ai, Jianxin Ding, Zheng Gan

“…To realize the comprehensive intelligent upgrade of the Three Gorges Dam safety intelligent monitoring system (IMS), we focus on three core pillars real-time information processing, professional analytical evaluation, and digital management control systematically overcoming critical technical bottlenecks. …”
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Enhancing medical response efficiency in real-time large crowd environments via smart coverage and deep learning for stable ecological health monitoring by Asma A. Alhashmi, Ghada Moh. Samir Elhessewi, Mukhtar Ghaleb, Nazir Ahmad, Nojood O. Aljehane, Tareq M. Alkhaldi, Hamad Almansour, Samah Al Zanin

“…Furthermore, the Chimp Optimisation Algorithm (CHOA) model is employed for the feature selection (FS) process to select the most significant features from the dataset. …”
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Explainable Artificial Intelligence Driven Segmentation for Cervical Cancer Screening by Niruthikka Sritharan, Nishaanthini Gnanavel, Prathushan Inparaj, Dulani Meedeniya, Pratheepan Yogarajah

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Engagement and learning approaches among medical students in an online surgical teaching programme: A cross-sectional study by Sumayyah Ebrahim, MMED Surgery (UKZN), MSc Epidemiology (Columbia University), Jacqueline Marina Van Wyk, PhD (UKZN)

“…An Online Student Engagement Scale (OSE) and a revised Biggs Two-Factor Study Process Questionnaire (R-SPQ-2F) were used to evaluate student engagement and learning approaches respectively. …”
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SIMULATION OF AIR HEAT TRANSFER IN CIRCULAR PIPES WITH TRIANGULAR AND SQUARE TURBULENCE STIMULATORS FOR HIGH REYNOLDS CRITERIA UP TO ONE MILLION by I. E. Lobanov

“…Mathematical simulations of the heat exchange process in straightand round horizontal pipes with turbulence stimulators with d/D=0.95...0.90 and t/D=0.25...1.00 of triangular and square transverse profiles with large Reynolds numbers (Re=106) on a foundation with multiblock computing technologies, which are based on solutions of factorized and finite-volume Reynolds equations and energy equations, were conducted. …”
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