Golgi scaffold protein PAQR11 in pan-cancer landscape: A comprehensive bioinformatics exploration of expression patterns, prognostic significance, and potential immunological funct... by Zhu Liu, Zhi-Qiang Ling

“…Methods: We conducted a comprehensive bioinformatics analysis using publicly available pan-cancer datasets from TCGA, GEO, UALCAN, TIMER, GEPIA2, KM plotter, and TISIDB. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…Ignoring temporal variation allows collapsing detection data across repeated sampling occasions, speeding up computations, which can be important when analyzing large datasets with complex models. I simulated data under different scenarios of temporal and spatio-temporal variation in detection, analyzed data with the data-generating model and an alternative model ignoring temporal variation in detection, and compared estimates between these two models with respect to relative bias, coefficient of variation (CV) and relative root mean squared error (RMSE). …”
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Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

“…For constructing the models, the fruit weight estimated from the fruit diameter obtained over time for each cumulative temperature after anthesis was used as explanatory variable and the fruit weight at harvest was used as objective variable. Datasets for two different prediction periods after anthesis of three tomato cultivars (“CF Momotaro York,” “Zayda,” and “Adventure.”) were used to develop tomato size prediction models, and their performance was evaluated. …”
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Creating accountable hospital service areas in China: a case analysis of health expenditure in the metropolis of Chengdu by Jay Pan, Peiya Cao, Xiaoshuang Zhao, Yili Yang

“…Cases of non-residents of Chengdu were excluded from the datasets.Methods We conducted three sets of analyses: (1) apply Dartmouth approach to delineate HSAs; (2) use Geographic Information System (GIS)-based method to demonstrate health expenditure variations across delineated HSAs and (3) employ a three-level multilevel linear model to examine the association between health expenditure and demand-side, supply-side and region-specific factors.Results A total of 113 HSAs with a median population of 60 472 (ranging from 7022 to 827 750) was delineated. …”
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Plant response to the fire regime (1970–2023) in a fynbos World Heritage Site: Ecological indicators for fire management by Tineke Kraaij, Johan Baard, AnneLise Schutte-Vlok

“…We analysed long-term datasets to assess the response of indicator plants (slow-maturing obligatory reseeding Proteaceae shrubs; ‘proteoids’) to the historical fire regime (1970–2023) in the Outeniqua World Heritage Site (OWHS), South Africa. …”
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Network Pharmacology and Molecular Docking Study on the Mechanism of the Therapeutic Effect of Strychni Semen in NSCLC by He Geng, Yujie Xue, Binghua Yan, Zhaoxue Lu, Hengjin Yang, Peng Li, Jundong Zhou

“…The core targets were validated via GEO datasets. 21 active components and 67 targets were identified, with 47 associated with NSCLC. …”
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The Accuracy of the NSQIP Universal Surgical Risk Calculator Compared to Operation-Specific Calculators by Mark E. Cohen, PhD, Yaoming Liu, PhD, Bruce L. Hall, MD, PhD, MBA, FACS, Clifford Y. Ko, MD, MS, MSHS, FACS

“…While operation-specific RCs might be assumed to have advantages over a universal RC, their reliance on smaller datasets may reduce their ability to accurately estimate predictor effects. …”
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Unveiling the signal valve specifically tuning the TGF-β1 suppression of osteogenesis: mediation through a SMAD1-SMAD2 complex by Ying-Wen Wang, Ching-Wei Luo

“…Ingenuity Pathway Analysis, and analysis of transcriptomic datasets from human BM-MSCs in combination with hierarchical clustering and STRING assay were used to decipher the interplaying co-repressors. …”
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Construction of a Real-Scene 3D Digital Campus Using a Multi-Source Data Fusion: A Case Study of Lanzhou Jiaotong University by Rui Gao, Guanghui Yan, Yingzhi Wang, Tianfeng Yan, Ruiting Niu, Chunyang Tang

“…They often rely on costly commercial platforms, struggle with integrating heterogeneous datasets, and require complex workflows to achieve both high precision and comprehensive campus coverage. …”
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Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis by Mikhail V. Kozhekin, Mikhail A. Genaev, Evgenii G. Komyshev, Zakhar A. Zavyalov, Dmitry A. Afonnikov

“…Additionally, 17 existing datasets of various spatial resolutions and markup quality levels from the Roboflow service were used to extend training image sets. …”
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Learnings from COVID-19 Forced Lockdown on Regional Air Quality and Mitigation Potential for South Asia by Abhishek Upadhyay, Parth Sarathi Mahapatra, Praveen Kumar Singh, Sishir Dahal, Suresh Pokhrel, Amit Bhujel, Indu Bikram Joshi, Shankar Prasad Paudel, Siva Praveen Puppala, Bhupesh Adhikary

“…Here, we analyze changes in levels of air quality species across the region during selected lockdown periods using satellite and in-situ datasets. This analysis compares air quality levels during the lockdown against pre-lockdown conditions as well as against regional long-term mean. …”
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Decoding oral cancer: insights from miRNA expression profiles and their regulatory targets by Xin Wang, Xin Wang, Shuang Zhang, Shuang Zhang, Shuyi Wang, Tao Cao, Tao Cao, Hong Fan, Hong Fan

“…This study analyzed miRNA and gene expression profiles in OC using publicly available datasets from the Gene Expression Omnibus (GEO) to explore their roles in tumorigenesis. …”
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Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…Furthermore, the developed RF-VPD model can be a valuable complement to existing VPD datasets, offering higher accuracy and resolution. …”
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Artificial intelligence-driven fuzzy logic approach for optimal well selection in gas lift design: A brown field case study by Nnaemeka Princewill Ohia, Chadi Paul, Emmanuel Asolo, Taiwo Adetomiwa Adewa, Chidimma Favour Chukwu, Paschal Ateb Ubi, Daniel Hogan Itam, Daniel Ugochukwu Nnaji

“…This method provides a nuanced evaluation of well suitability, adapting to fluctuating reservoir conditions and operational challenges, and underscores the utility of fuzzy logic in petroleum engineering for handling large datasets and uncertain environments.…”
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The Role of Pyroptosis‐Related Gene Signature and Immune Infiltration in Juvenile Dermatomyositis by Qiao W, Zhu C, Huang D, Liu Y, Wang Z, Zhu T, Song Q, Yang X, Wang Y, Wang Y

“…Building upon previous research on the immunological and inflammatory aspects of JDM, this study aims to investigate the role of pyroptosis in the pathogenesis of JDM using a comprehensive bioinformatics approach.Methods: Two microarray datasets (GSE3307 and GSE11971) were obtained from the Gene Expression Omnibus database, and a list of 62 pyroptosis-related genes was compiled. …”
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Comparison of pediatric injury patterns before and during the COVID-19 pandemic in Korea: a retrospective study by Geom Pil Nam, Woo Sung Choi, Jin-Seong Cho, Yong Su Lim, Jae-Hyug Woo, Jae Ho Jang, Jea Yeon Choi

“…This study analyzed the changing patterns of pediatric injury overall and by age groups, based on the datasets before and during the COVID-19 pandemic. Methods This study is based on the data of patients who presented with injuries at 23 hospital emergency departments participating in the Emergency Department-based Injury In-depth Surveillance (EDIIS) conducted by the Korea Disease Control and Prevention Agency. …”
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Differences in prevalence and associated factors of underweight and overweight/obesity according to rural–urban residence strata among women of reproductive age in Bangladesh: evid... by Rajat Das Gupta, Mohammad Rashidul Hashan, Gulam Muhammed Al Kibria, Brendan Day

“…Objectives This study aimed to investigate the differences in prevalence and factors influencing underweight and overweight/obesity stratified by region of residence among women of reproductive age in Bangladesh.Design Secondary analysis of cross-sectional nationwide data.Setting This study used Bangladesh Demographic and Health Survey 2014 data.Participants A weighted sample of 16 478 women of reproductive age (15–49 years) were included in the analysis.Primary and secondary outcome measures Using the Asian-specific cut-off for body mass index, the primary outcome of this study was categorised as: underweight (<18.5 kg/m2), normal weight (18.5 to <23.0) kg/m2 and overweight/obese (≥23.0 kg/m2) stratified according to rural–urban residence.Results More than half of urban women (53%, n=2493) and one-third of rural women (33%, n=3968) were found to be overweight/obese. …”
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A meta-analysis of whole blood transcriptome reveals genes associated with increased neutrophil activity and T cell suppression in sepsis by T. N. Shruthi, Anbazhagan Kolandaswamy, Prabakara Somanna

“…Methods We considered six publically available whole blood transcriptome gene expression omnibus (GEO) datasets and analyzed them using GEO2R. DESeq-R package was used to identify differentially expressed genes. …”
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The Performance of Irrigation Schemes in Sudan Affected by Climate Variability and the Grand Ethiopian Renaissance Dam by Shamseddin M. Ahmed, Khalid G. Biro Turk, Hassan Ali Dinar

“…Therefore, the Sudanese irrigation schemes that depend on the Blue Nile are affected by the operation and management of the GERD. This study used datasets derived from the Moderate Resolution Imaging Spectroradiometer (MODIS), specifically the enhanced vegetation index (EVI) and crop water use efficiency (CWUE), alongside climate time-series data obtained from the Climate Research Unit, to evaluate the performance of irrigation schemes in Sudan affected by climate variability and the construction and filling of the GERD. …”
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Unlocking the interactive potential of digital models with game engines and visual programming for inclusive Vr and web-based museums by Fabrizio Banfi, Daniela

“…These technologies facilitate the creation of immersive, interactive experiences that provide access to vast datasets, often difficult to explore within the limitations of physical settings. …”
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