Machine learning-based prediction of CO2 solubility in methyldiethanolamine solutions: A comparative study by Sajjad Fazeli, Mohammad Amin Moradkhani, Behrouz Bayati

“…In order to construct robust models, three heuristic soft computing methods, including radial basis function neural network (RBF-NN), gaussian process regression (GPR) and multilayer perceptron neural network (MLP-NN) were employed. …”
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Deep learning time-series modeling for assessing land subsidence under reduced groundwater use by Chih-Yu Liu, Cheng-Yu Ku, Chuen‑Fa Ni

“…In this study, we develop a machine learning framework for subsidence analysis using electricity consumption data from pumping wells as a proxy for groundwater extraction. …”
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Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting by Kejiang Xiao, Yefeng Li, Yaning Dong, Wenqi Yang, Binting Yao, Liang Chen

“…Real-world time series data are inherently characterized by nonlinear dynamics and multi-scale temporal features. …”
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Temporal stability of a new 40-year daily AVHRR land surface temperature dataset for the pan-Arctic region by S. Dupuis, S. Dupuis, F.-M. Göttsche, S. Wunderle, S. Wunderle

“…Validation shows good accuracy with an average mean absolute error (MAE) of 1.71 K and a MAE range of 0.62–3.07 K against in situ LST data from the Surface Radiation Budget (SURFRAD) network and Karlsruhe Institute of Technology (KIT) sites. …”
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Predicting future evapotranspiration based on remote sensing and deep learning by Xin Zheng, Sha Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng, Jiahua Zhang, Yun Bai

“…Study focus: This study validates the efficiency of Convolutional Long Short-Term Memory Network (ConvLSTM) models for site-scale ETa prediction. …”
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A semantic strength and neural correlates in developmental dyslexia by Sladjana Lukic, Sladjana Lukic, Sladjana Lukic, Fei Jiang, Maria Luisa Mandelli, Maria Luisa Mandelli, Ting Qi, Sarah M. Inkelis, Sarah M. Inkelis, Emily Rosenthal, Emily Rosenthal, Zachary Miller, Zachary Miller, Emma Wellman, Emma Wellman, Silvia A. Bunge, Silvia A. Bunge, Silvia A. Bunge, Maria Luisa Gorno-Tempini, Maria Luisa Gorno-Tempini, Christa Watson Pereira, Christa Watson Pereira

“…Differential dynamic rs-fMRI connectivity (shorter average dwell time and greater brain state switches) was observed between the high and average groups in a large-scale bilateral frontal-temporal-occipital network.DiscussionThese data demonstrate that a subgroup of children with dyslexia perform above average on semantic fluency tasks and their performance is strongly linked to distinct psycholinguistic patterns and differences in a task-free resting-state brain network, which includes regions previously implicated in semantic processing. …”
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PPSC: High-Precision and Scalable Encrypted Privacy-Preserving Speech Classification by WANG Leilei, SONG Kao, ZHANG Yuanyuan, BI Renwan, XIONG Jinbo

“…This ensures the privacy of speech data, speech classification models, and intermediate computing results. …”
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…First, to collect sufficient data, a data acquisition system based on wireless sensor network is constructed to replace the traditional wired system which may bring dangers during production. …”
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Mathematical Modeling and Statistical Evaluation of the Security–Performance Trade-Off in IoT Cloud Architectures: A Case Study of UBT Smart City by Besnik Qehaja, Edmond Hajrizi, Behar Haxhismajli, Lavdim Menxhiqi, Galia Marinova, Elissa Mollakuqe

“…Through detailed modeling and real-world measurement data collected before and after the deployment of advanced security measures—such as VPN configuration, Network Security Groups (NSGs), Route Tables, and DDoS Protection—we quantify the impact of security on system performance. …”
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IONOSPHERIC DISTURBANCES OVER PRIMORSKY KRAI CAUSED BY THE ERUPTION OF THE HUNGA TONGA-HUNGA HA’APAI VOLCANO ON JANUARY 15, 2022 by М. А. Bolsunovskii, N. V. Shestakov, G. I. Dolgikh, N. P. Perevalova, А. S. Ten

“…The explosive eruption of the Hunga Tonga-Hunga Haapai volcano occured on January 15, 2022 at 04:02 UTC led to generation of covolcanic ionospheric disturbances that spread over long distances. Using GNSS data obtained at permanent stations of the IGS network and sites located on the territory of Primorsky Krai, the search and analysis of ionospheric disturbances over the territory of Primorsky Krai and adjacent areas was performed. …”
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Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

“…To verify that YOLOv8-CBW3 has strong generalizability, a comparative analysis is conducted on the VOC2007 public dataset, which shows through the data that its detection ability is still optimal, and it provides a reference solution for subsequent similar problems.…”
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Evaluation of the Human Immunodeficiency Virus viral load surveillance system, national perspective in Tanzania: A descriptive cross-sectional study by Peter Richard Torokaa, Loveness John Urio, Ambwene Mwakalobo, Alex Sifaeli Magesa, James Njoroge Allan, David John Osima, Focus Medard Shao, Joseph Mziray, Yulitha Barnabas, Agricola Joachim, Mtebe Majigo

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Association of a Brief Computerized Cognitive Assessment With Cholinergic Neurotransmission: Assessment Validation Study by Mouna Attarha, Ana De Figueiredo Pelegrino, Lydia Ouellet, Paule-Joanne Toussaint, Sarah-Jane Grant, Thomas Van Vleet, Etienne de Villers-Sidani

“…MethodsIn a retrospective analysis, we report baseline data from the Improving Neurological Health in Aging via Neuroplasticity-Based Computerized Exercise (INHANCE) trial. …”
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PAB-Mamba-YOLO: VSSM assists in YOLO for aggressive behavior detection among weaned piglets by Xue Xia, Ning Zhang, Zhibin Guan, Xin Chai, Shixin Ma, Xiujuan Chai, Tan Sun

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Blockchain Technology Applications for Decarbonization: A Bibliometric Review by Kalnina Anete, Feofilovs Maksims, Romagnoli Francesco

“…With the aim to construct a comprehensive and systematic bibliometric analysis on the inclusion of blockchain technology in renewable energy, transport (electric vehicles) and agri-food industry, this paper provides an in-depth analysis of existing studies on these topics to identify future research opportunities. …”
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Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions by Hajar Fatorachian, Hadi Kazemi, Kulwant Pawar

“…Using a qualitative research approach, semi-structured interviews and focus groups were conducted with industry experts, and the data were analyzed using thematic analysis and qualitative network mapping in NVivo software. …”
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Neurotropic effects of distilled water real exposed to Kyokushin Karate katas. Neurotropic Resonance: Biophotonic Information Transfer through Kyokushin Karate-Exposed Water by Valeriy Babelyuk, Igor Popovych, Olga Smoleńska, Anna Michalska, Radosław Muszkieta, Magdalena Hagner-Derengowska, Yuriy Dobrovolsky, Galyna Dubkova, Tetyana Korolyshyn, Walery Zukow

“…Earlier, we showed that placebo intervention (distilled water with false message of Kyokushin Karate katas, KKK, exposure) produces measurable neurotropic effects. This report presents data on neurotropic effects of water actually exposed to KKK. …”
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DamageScope: An Integrated Pipeline for Building Damage Segmentation, Geospatial Mapping, and Interactive Web-Based Visualization by Sultan Al Shafian, Chao He, Da Hu

“…The proposed system leverages a convolutional neural network trained exclusively on post-event data to segment building footprints and assign them to one of four standardized damage categories: no damage, minor damage, major damage, and destroyed. …”
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Application of Causal Forest Model to Examine Treatment Effect Heterogeneity in Substance Use Disorder Psychosocial Treatments by Ryoko Susukida, Masoumeh Amin‐Esmaeili, Elena Badillo‐Goicoechea, Trang Q. Nguyen, Elizabeth A. Stuart, Michael Rosenblum, Kelly E. Dunn, Ramin Mojtabai

“…This exploratory study applied a causal forest approach to examine HTE in psychosocial SUD treatments, considering multiple covariates simultaneously. Methods Data from 12 randomized controlled trials of nine psychosocial treatments were obtained from the National Institute on Drug Abuse Clinical Trials Network. …”
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Modeling Study on Cascading Failures of Critical Infrastructure in Urban Flooding: A Case Study of the Maozhou River Basin by Ge Xinyu, Fan Dongli, Tian Zhan, Liu Qiaodan, Lyu Jiajie, Wang Yanlong

“…Meanwhile, the disruption of communication and medical services had a more pronounced impact on the urban population, with the ratio of the population affected by service disruptions exceeding 5 (a ratio of "1" represents 140,672 people). 3) Under the backdrop of climate change, the disturbance of future extreme flood disasters on the infrastructure system network is significantly intensified. After taking into account the cascading effects, the overall number of affected infrastructure facilities is, on average, 38% higher than the baseline scenario of "Mangkhut" 4) Thanks to the relatively rational spatial layout and the flood resistance of the facilities, the power system, emergency response (covering police and fire services), and shelter services in the Maozhou River Basin have demonstrated a certain degree of stability. …”
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