Using informative priors to account for identifiability issues in occupancy models with identification errors by Monchy, Célian, Etienne, Marie-Pierre, Gimenez, Olivier

“…When applied to passive bio-monitoring data, characterized by datasets requiring automated processing, this second source of error can no longer be ignored as misclassifications at both steps can lead to significant biases in ecological estimates. …”
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What is the current state of precision rehabilitation? Protocol for a scoping study with a consultation phase by Annie Pouliot-Laforte, Evemie Dubé, Dahlia Kairy, Danielle E Levac

“…Convergent mixed-methods data analyses will combine quantitative and qualitative datasets to highlight similarities and differences between the current literature on the subject and the understanding of stakeholders.Ethics and dissemination Ethical approval has been obtained from the Research Ethics Board of the Sainte-Justine University Health Centre (no. 2024–6324). …”
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Climate Impact on Evapotranspiration in the Yellow River Basin: Interpretable Forecasting with Advanced Time Series Models and Explainable AI by Sheheryar Khan, Huiliang Wang, Umer Nauman, Rabia Dars, Muhammad Waseem Boota, Zening Wu

“…Advanced data preprocessing techniques, including Yeo-Johnson and Box-Cox transformations, Savitzky–Golay smoothing, and outlier elimination, were applied to improve data quality. Datasets from MODIS, TRMM, GLDAS, and ERA5 were utilized to enhance model accuracy. …”
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Wnt/β-catenin signalling underpins juvenile Fasciola hepatica growth and development. by Rebecca Armstrong, Nikki J Marks, Timothy G Geary, John Harrington, Paul M Selzer, Aaron G Maule

“…Here, we identify five putative Wnt ligands and five Frizzled receptors in liver fluke transcriptomic datasets and find that Wnt/β-catenin signalling is most active in juveniles, the most pathogenic life stage. …”
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Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR by Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel

“…Furthermore, it provides details of 80 available CRISPR-Cas9 system-related datasets that can be utilized to develop AI-driven applications. …”
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Meta-Analysis of Expression Profiling Data Indicates Need for Combinatorial Biomarkers in Pediatric Ulcerative Colitis by Xinxiu Li, Eun Jung Lee, Danuta R. Gawel, Sandra Lilja, Samuel Schäfer, Huan Zhang, Mikael Benson

“…Analyses of profiling datasets from colonic biopsies showed good agreement between different studies regarding pathways and predicted upstream regulators. …”
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Vegetation Quality Assessment of the Shaanxi Section of the Yellow River Basin Based on NDVI and Rain-Use Efficiency by Zhao Liu, Danyue Wang, Lei Han, Hongliang Kang, Xinxin Cao

“…In this study, based on the data of NDVI and precipitation datasets in the growing season (June to September) from 2000 to 2019, we used a Sen+Mann–Kendall trend analysis and other methods to study the spatial and temporal evolution characteristics of precipitation and vegetation cover in the Shaanxi section of the Yellow River Basin and to assess the regional vegetation quality change characteristics based on estimating the rain-use efficiency (RUE). …”
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Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment by Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

“…Extensive experiments conducted on four pairs of real datasets demonstrate the superiority of our approach. …”
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Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer by Chen Zhang, Hubin Yin, Tinghao Li, Junrui Chen, Weiyang He, Ke Ren, Bo Li, Xudong Liu

“…Finally. the biological functions and potential mechanisms of SDCBP in bladder cancer were investigated experimentally in vitro and in vivo.Results An 8-gene signature was developed, and its efficiency for predicting NMIBC recurrence was evaluated using Kaplan-Meier and time-dependent ROC curves in both training and validation datasets. Immunohistochemical testing revealed elevated levels of ACTN4 and SDCBP in recurrent NMIBC tissues. …”
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Enhancing microbial predator–prey detection with network and trait-based analyses by Cristina Martínez Rendón, Christina Braun, Maria Kappelsberger, Jens Boy, Angélica Casanova-Katny, Karin Glaser, Kenneth Dumack

“…Abstract Background Network analyses are often applied to microbial communities using sequencing survey datasets. However, associations in such networks do not necessarily indicate actual biotic interactions, and even if they do, the nature of the interactions commonly remains unclear. …”
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Machine learning-based study of hardness in polypropylene/carbon nanotube and low-density polyethylene/carbon nanotube composites by Harshit Sharma, Gaurav Arora, Raj Kumar, Suman Debnath, Suchart Siengchin

“…Random Forest is the most reliable model for predicting the characteristics of PP/CNT composite material due to its ability to handle complex datasets. The LDPE/CNT composite material demonstrates superior prediction accuracy, with a maximum error of just 1.61%, making it a better option for high-precision applications due to enhanced mechanical interactions and improved CNT dispersion.…”
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Amputations of Lower Limb in Subjects with Diabetes Mellitus: Reasons and 30-Day Mortality by Magdalena Walicka, Marta Raczyńska, Karolina Marcinkowska, Iga Lisicka, Arthur Czaicki, Waldemar Wierzba, Edward Franek

“…The aim of this study was to assess trends in the number of amputations, the diagnosis at discharge, and diagnosis-related mortality after LEA procedures in a nationwide population. Methods. Datasets of the National Heath Fund containing information about all services within the public healthcare system in Poland, spanning the years 2010-2019, were analyzed. …”
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An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction prediction by Jerry Emmanuel, Itunuoluwa Isewon, Jelili Oyelade

“…The performance of the optimized deep forest model was evaluated on human-Plasmodium falciparum protein sequence datasets using 10-fold cross-validation. The results were compared with standard optimization methods such as traditional Bayesian optimization, genetic algorithms, evolutionary strategies, and other machine learning models. …”
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Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN by Henghui Mo, Linjing Wei

“…We introduce an Adaptive Random Mix-Cut Splicing (ARMS) image augmentation technique that merges affected leaf images with healthy leaves, enhancing the training and validation datasets through noise addition, geometric transformations, color changes, and affine transformations, thus increasing the diversity of background targets. …”
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Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning by Zhuohan Yu, Yuning Yang, Xingjian Chen, Ka‐Chun Wong, Zhaolei Zhang, Yuming Zhao, Xiangtao Li

“…Benchmarking stDCL against other state‐of‐the‐art clustering methods using complex cortex datasets demonstrates its superior accuracy and effectiveness in identifying spatial domains. …”
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Discussion on Redundant Processing Algorithm of Association Rules Based on Hypergraph in Data Mining by Jintan Zhu

“…This paper uses two datasets of different sizes to conduct rule prediction accuracy experiments on the Markov logic network framework model algorithm of association rules and the traditional association rule algorithm. …”
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Innovative applications and future trends of multiparametric PET in the assessment of immunotherapy efficacy by Tingting Qiao, Tingting Qiao, Zhaoping Cheng, Yanhua Duan

“…Future validation using large-scale, multicenter datasets is needed to further advance precision medicine in cancer immunotherapy.…”
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A holistic physics-informed neural network solution for precise destruction of breast tumors using focused ultrasound on a realistic breast model by Salman Lari, Hossein Rajabzadeh, Mohammad Kohandel, Hyock Ju Kwon

“…In previous finite element method (FEM) models, the computational demands of handling extensive datasets, multiple dimensions, and discretization posed significant challenges. …”
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Deciphering the regulatory programs of RNA binding proteins in rheumatoid arthritis through single-cell transcriptome analysis by Hongbin Luo, Qunya Zheng, Youzheng Zhou, Weipeng Lai, Nanwen Zhang, Peng Chen

“…Single-cell RNA sequencing (scRNA-seq) data from published datasets were obtained to investigate the expression and dysregulation of RNA-binding proteins (RBPs), which are critical for alternative mRNA splicing and translational control in rheumatoid arthritis (RA). …”
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A reproducible representation of healthy tibiofemoral kinematics during stair descent using REFRAME – part I: REFRAME foundations and validation by Ariana Ortigas-Vásquez, William R. Taylor, Barbara Postolka, Pascal Schütz, Allan Maas, Matthias Woiczinski, Thomas M. Grupp, Adrian Sauer

“…Representative time-series signals are calculated to encapsulate (complex and multidimensional) kinematic datasets succinctly. Exacerbated by numerous difficulties to consistently define joint coordinate frames, the influence of local frame orientation and position on the characteristics of the resultant kinematic signals has been previously proven to be a major limitation. …”
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