The added value of diagnostics to characterize age-specific patterns of respiratory viral infections and coinfections and to detect emerging threats by Alessandra Pierangeli, Ombretta Turriziani, Matteo Fracella, Roberta Campagna, Federica Frasca, Alessandra D’Auria, Carolina Scagnolari, Piergiorgio Roberto, Lilia Cinti, Gabriella D’Ettorre, Giancarlo Ceccarelli, Laura Petrarca, Raffaella Nenna, Fabio Midulla, Gioacchino Galardo, Guido Antonelli

“…Abstract Background Pandemic restrictions caused variation in respiratory virus circulation until the winter of 2022/23. …”
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Duckweed: a starch-hyperaccumulating plant under cultivation with a combination of nutrient limitation and elevated CO2 by Ling Guo, Ling Guo, Yang Fang, Songhu Wang, Yao Xiao, Yanqiang Ding, Yanling Jin, Xueping Tian, Anping Du, Zhihua Liao, Kaize He, Shuang Chen, Yonggui Zhao, Li Tan, Zhuolin Yi, Yuqing Che, Lanchai Chen, Jinmeng Li, Leyi Zhao, Peng Zhang, Zhengbiao Gu, Fangyuan Zhang, Yan Hong, Qing Zhang, Hai Zhao

“…In this study, we integrated whole-genome sequencing, epigenomics, transcriptomics, enzyme activity, and composition variation to elucidate the mechanisms of efficient starch accumulation in duckweed in terms of starch accumulation and carbon partitioning, regulation of the expression of genes in the starch metabolic pathway, and sucrose biosynthesis and transportation.Results and discussionAlthough Landoltia punctata exhibits dramatic gene family contraction, its starch content and productivity reached 72.2% (dry basis) and 10.4 g m-2 d-1, respectively, in 10 days, equivalent to a yield of 38.0 t ha-1 y-1, under nutrient limitation treatment with elevated CO2 levels. …”
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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

“…[Objective] The mechanism underlying the spatial and temporal variation characteristics of regional forest cover was studied by using the source-sink landscape principle in order to provide a basis for decision-making regarding forest resource conservation. …”
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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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Microglial clock dysfunction during neuroinflammation impairs oligodendrocyte progenitor cell recruitment and disrupts neuroimmune homeostasis by Qingqing Lu, Qingqing Lu, Jin Young Kim, Jin Young Kim

“…Although time-of-day–dependent variation in microglial immune activity has been reported, how intrinsic microglial clocks respond to neuroinflammatory stimuli and influence microglial function remains unclear.MethodsWe induced neuroinflammation via intraperitoneal injection of lipopolysaccharide (LPS) and isolated microglia from control and LPS-treated mouse brains. …”
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Specific gut microbiota and serum metabolite changes in patients with osteoarthritis by Wendong Wang, Xincheng Liu, Hao Nan, Huan Li, Litao Yan

“…Fecal and blood samples were collected for 16S rRNA gene sequencing, metabolomic analysis via liquid chromatography–mass spectrometry (LC-MS), and integrated evaluation.ResultsThe results showed no significant variation in gut microbiota richness and diversity between the two groups. …”
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Dynamic Response Prediction of Railway Bridges Considering Train Load Duration Using the Deep LSTM Network by Sui Tan, Xiandong Ke, Zhenhao Pang, Jianxiao Mao

“…Traditionally, finite element analysis methods with high computational burden are used to predict the train-induced responses according to the given train loads and, hence, cannot easily be integrated as an available structural-health-monitoring strategy. …”
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Evaluating the association of transient receptor potential cation channel subfamily A member 1 gene polymorphisms with pain sensitivity: results from an adaptive recall by genotype... by Aidan P. Nickerson, Laura J. Corbin, Nicholas J. Timpson, Megan Nott, Oliver Blanshard, Katie Foy, Fang Fang Quek, Christopher Geddie, Keith Phillips, Frances M.K. Williams, Anthony E. Pickering, James P. Dunham

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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…To address this issue, we propose the high-resolution U-shaped mamba network (HRUMamba), which integrates multiple innovations to enhance segmentation performance under imbalanced conditions. …”
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Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…To improve model robustness, preprocessing strategies such as standard normal variate (SNV), multiplicative scatter correction (MSC), and Savitzky–Golay derivatives were applied. …”
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Identification of necroptosis & mitophagy-related key genes and their prognostic value in colorectal cancer by Xiuling Zhang, Li Meng, Tingjian Zu, Qian Zhou

“…Abstract Background Our study aimed to elucidate the potential necroptotic&mitophagy-related key genes in colorectal cancer (COAD) by bioinformatics analysis and identify their prognostic value in COAD. Methods Firstly, we integrated the cancer genome atlas (TCGA) and gene expression omnibus (GEO) datasets to identify necroptosis & mitophagy-related differentially expressed genes (N&MRDEGs) in COAD using “TCGAbiolinks” and “GEOquery” packages. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…Efficient moisture monitoring in chicken litter is essential for sustainable poultry waste management and its application as an organic fertilizer. Conventional methods like oven drying are destructive, time-consuming, and unsuitable for real-time assessment. …”
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Spatiotemporal changes in river network connectivity in the Nile River Basin due to hydropower dams. by Anthony Basooma, Astrid Schmidt-Kloiber, Rose Basooma, Herbert Nakiyende, Johannes Kowal, Andrea Funk, Thomas Hein, Florian Borgwardt

“…We also recommend regular monitoring of barrier impacts by integrating safe, cost-effective methods such as remote sensing and environmental DNA (eDNA) to assess both flora (macrophytes, phytoplankton) and fauna (macroinvertebrates, fish, zooplankton).…”
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Tolerating bad health research (part 2): still as many bad trials, but more good ones too by Anna Daly, Shaun Treweek, Genevieve Shiely Hayes, Frances Shiely

“…Compared to the original assessments, we judged more studies to be low risk of bias across all domains. The greatest variation was in the two blinding categories (participants and personnel; outcome assessor) and ‘other bias’. …”
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SPINK1 facilitates tumor progression via the EGFR/JAK/STAT3 axis in oral squamous cell carcinoma: insights from single-cell RNA sequencing by Mingyan Bao, Zhangui Tang

“…ObjectiveThis study aimed to elucidate the functional role and molecular mechanisms of Serine Peptidase Inhibitor Kazal Type 1 (SPINK1) in oral squamous cell carcinoma (OSCC) through integrative analysis of single-cell RNA sequencing (scRNA-seq) data.Materials and methodsCellular subpopulations within OSCC were stratified using transcriptomic datasets from the GEO database. …”
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