Factors associated with the presence and intensity of ongoing symptoms in Long COVID. by Niels Brinkman, Teun Teunis, Seung Choi, David Ring, W Michael Brode

“…We aimed to better define the key contributors to PASC, and sought the factors associated with PASC symptom presence and intensity.<h4>Methods</h4>In this cross-sectional study, 249 patients presenting for PASC care at a dedicated Post-COVID-19 clinic completed a standardized screening assessment prior to initial visit and evaluation by a general internist or nurse practitioner. …”
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Prenatal maternal stress: triangulating evidence for intrauterine exposure effects on birth and early childhood outcomes across multiple approaches by Ingunn Olea Lund, Laurie J. Hannigan, Helga Ask, Adrian D. Askelund, Laura Hegemann, Elizabeth C. Corfield, Robyn E. Wootton, Yasmin I. Ahmadzadeh, George Davey Smith, Tom A. McAdams, Eivind Ystrom, Alexandra Havdahl

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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Methods: Following PRISMA, 64 studies were reviewed that outlined the latest feature extraction and classification developments using deep learning models such as CNNs and RNNs. …”
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Optimizing blood-brain barrier permeability in KRAS inhibitors: A structure-constrained molecular generation approach by Xia Sheng, Yike Gui, Jie Yu, Yitian Wang, Zhenghao Li, Xiaoya Zhang, Yuxin Xing, Yuqing Wang, Zhaojun Li, Mingyue Zheng, Liquan Yang, Xutong Li

“…Our approach utilizes a variational autoencoder (VAE) generative model integrated with reinforcement learning for multi-objective optimization. …”
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Surface water quality evaluation, apportionment of pollution sources and aptness testing for drinking using water quality indices and multivariate modelling in Baitarani River basi... by Abhijeet Das

“…Spanning a spectrum, the values of Integrated Weight (I)-WQI oscillated between 14 and 97. …”
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Longitudinal analysis of genetic and environmental interplay in human metabolic profiles and the implication for metabolic health by Jing Wang, Alberto Zenere, Xingyue Wang, Göran Bergström, Fredrik Edfors, Mathias Uhlén, Wen Zhong

“…Variability in metabolic profiles, influenced by genetic makeup, lifestyle, and environmental exposures, plays a critical role in disease susceptibility and progression. Methods We conducted a two-year longitudinal study involving 101 clinically healthy individuals aged 50 to 65, integrating genomics, metabolomics, lipidomics, proteomics, clinical measurements, and lifestyle questionnaire data from repeat sampling. …”
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Endangered Pinto/Northern Abalone (Haliotis kamtschatkana) are Panmictic Across Their 3700 km Range Along the Pacific Coast of North America by J. L. Dimond, J. V. Bouma, F. Lafarga‐De la Cruz, K. J. Supernault, T. White, D. A. Witting

“…Phylogenetic analysis, principal components analysis, and unsupervised clustering methods all supported a single genetic population. …”
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Deep generative model for the inverse design of Van der Waals heterostructures by Shikun Gao, Qinyuan Huang, Chen Huang, Cheng Li, Kaihao Liu, Baisheng Sa, Yadong Yu, Dezhen Xue, Zhe Liu, Mengyan Dai

“…To address the challenges of traditional experimental methods relying on trial-and-error and existing models struggling to incorporate target property constraints, this work achieves breakthroughs through three innovative stages: (1) introduce the SE(3)-equivariant graph neural network EquiformerV2 as the encoder-decoder within the CDVAE framework to enhance the generation quality of the model; (2) design a module integrating Low-rank Multimodal Fusion and Generative Adversarial Networks to map properties and structures into a joint latent space; and (3) for the first time propose a generative model for the vdW heterostructures, by conducting experimental validation on the dataset constructed from Janus III–VI vdW heterostructures. …”
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Fracturing location optimization of floor coalbed methane wells with high water content in Hancheng Block by Wei WANG, Haifeng ZHAO, Dezhi WANG, Wang ZHANG, Liang JI, Hong JIANG

“…The results show that when the coal reservoir is 1 m and 5 m away from the high aquifer, the three fracturing methods show the characteristics of low gas production, high water production and late gas occurrence time. …”
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Feasibility of decentralised deployment of Xpert MTB/RIF test at lower level of health system in India. by Neeraj Raizada, K S Sachdeva, Achuthan Sreenivas, Bhavin Vadera, R S Gupta, Malik Parmar, Shubhangi Kulsange, Ameet Babre, Rahul Thakur, Christen Gray, Ranjani Ramachandran, Umesh Alavadi, Mayank Ghedia, Balasangameshwara Vollepore, Puneet Dewan, Catharina Boehme, C N Paramsivan

“…Significant variation was observed in failure rates both across instruments and over time; furthermore, substantial variation was observed in failure rate in two cartridges lots.…”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…Given the nonlinear characteristics of supplementary cement material concrete (SCMC) mixtures, researchers are increasingly turning to machine learning methods. This study assesses nine machine learning models, integrating conventional AI algorithms, such as artificial neural network (ANN), support vector regression (SVR), and random forest (RF) with nature-inspired optimization techniques including chicken swarm optimization (CSO), moth flame optimization algorithm (MFO), and whale optimization algorithm (WOA). …”
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How to take action beyond ambulatory glucose profile: Latin American expert recommendations on CGM data interpretation by Luis Eduardo Calliari, Álvaro Contreras Sepúlveda, Nicolás Coronel-Restrepo, Laura Kabakian, Rodrigo N. Lamounier, Emma Picasso, Adrian Proietti, Alex Ramírez-Rincón, Alicia E. Yépez-Rodriguez

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Generation driven understanding of localized 3D scenes with 3D diffusion model by Hao Sun, Junping Qin, Zheng Liu, Xinglong Jia, Kai Yan, Lei Wang, Zhiqiang Liu, Shaofei Gong

“…In addition to accurately predicting the distribution of the noise tensor, the framework significantly enhances the understanding of localized scenes by effectively integrating spatial context information. Specifically, 3D-UDDPM combines Markov chain Monte Carlo (MCMC) sampling and variational inference methods to reconstruct clear structural details in a stepwise backward inference manner, thereby driving the generation and understanding of local 3D scenes by internalizing geometric features as a priori knowledge. …”
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SLPDBO-BP: an efficient valuation model for data asset value by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Zihao Liao

“…Firstly, the sinusoidal chaos mapping strategy, the Levy flight strategy and the fusion of adaptive weight variation operators are integrated to increase the population diversity of the algorithm, broaden the search range, and augment the global optimization capability of the algorithm. …”
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Study on the spatiotemporal evolution and prediction of internal porosity in concrete specimens under sulfate attack based on machine learning models by Chun Gong, Dunwen Liu, Kunpeng Cao, Yinghua Jian

“…Machine learning methods were employed to predict porosity changes based on CT data. …”
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Changes in Forest Spatial Patterns Based on Source-sink Principle by Wu Lingxin, Lin Yiheng, Li Jian, Hu Xisheng

“…[Methods] We collected datasets of land use/cover change (LUCC), digital elevation model (DEM), and road traffic in Fujian Province for 2010 and 2020, and identified landscapes (i.e., source landscapes and sink landscapes) that either promoted or prevented/delayed forest loss. …”
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Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features by RAO Zhi, YANG Zaimin, YANG Xiongping, LI Jiaming, YANG Ping, WEI Zhichu

“…[Methods] To address the presence of anomalies in the GHI data， raw data were first cleaned and preprocessed to eliminate outliers and ensure data quality. …”
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Metaweb approaches for understanding complex ecological interactions: A review by Sagar Adhurya, Young-Seuk Park

“…This review explores the applications and methodologies in metaweb studies, detailing methods for metaweb construction, applying metawebs for generating local webs, and analysing both local webs and metawebs across alpha, beta, and gamma levels. …”
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Study on the Impact of Input Parameters on Seawater Dissolved Oxygen Prediction Models by Wenqing Li, Jing Lv, Yuhang Wang, Xiangfeng Kong

“…In response to the lack of exploration on the optimization mechanism of input parameters in existing DO prediction studies, this study, based on observational data from the Goji Island marine ranching, constructed a technical framework of “parameter screening—model optimization—ecological analysis”. By integrating correlation analysis, principal component analysis (PCA), and multi-model comparison (SVM, MLP, and RF) methods, this study systematically revealed the input parameter optimization strategies and its ecological correlation mechanism. …”
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Molecular epidemiology and genomic features of Bordetella pertussis in Tianjin, China, 2023 by Xiaohui Lu, Wen Li, Xuan Chen, Wei Zhang, Aiping Yu, Guangwen Liu, Baolu Zheng, Xin Gao, Yamin Liu, Xiaoyan Li

“…Methods In this study, we characterized 27 BP isolates collected from Tianjin, China in 2023, using whole-genome sequencing and multilocus genotyping (MGT) to explore their genomic diversity. …”
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