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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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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The miRNA‐mRNA Regulatory Network in Human Hepatocellular Carcinoma by Transcriptomic Analysis From GEO by Razieh Heidari, Vahideh Assadollahi, Seyedeh Negar Marashi, Fatemeh Elahian, Seyed Abbas Mirzaei

“…Aim In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs). …”
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Expression of LINC00847 in Peripheral Blood Mononuclear Cells of Children with Asthma and Its Prediction between Asthma Exacerbation and Remission by Jiaying Hu, Zhike Wang, Suzhen Han, Kai Chen

“…Microarray analysis was performed on GSE143192 and GSE165934 datasets to screen differentially expressed lncRNAs (DElncRNAs) in human PBMCs between asthma patients and normal controls. …”
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Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
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Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha

“…Results suggest, linear regression model demonstrates the best training and validation results, with a minimal difference of just 0.02 between the training and validation datasets. Performance of the model was assessed using Mean Squared Error, Root Mean Squared Error, Mean Absolute Error, and R-squared metrics. …”
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A sensitivity analysis of methodological variables associated with microbiome measurements by Samuel P. Forry, Stephanie L. Servetas, Jennifer N. Dootz, Monique E. Hunter, Jason G. Kralj, James J. Filliben, Scott A. Jackson

“…This investigation demonstrates a framework for quantitatively assessing methodological choices that could be routinely performed by individual laboratories to better understand their metagenomic sequencing workflows and to improve the scope of the datasets they produce.IMPORTANCEMethod-specific bias is a well-recognized challenge in metagenomic sequencing characterization of microbiome samples, but rigorous bias quantification is challenging. …”
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Multi-omics analysis reveals novel causal pathways in psoriasis pathogenesis by Hua Guo, Jinyang Gao, Liping Gong, Yanqing Wang

“…Methods We conducted SMR analyses integrating genome-wide association study (GWAS) summary statistics with methylation quantitative trait loci (mQTL), expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data. Publicly available datasets were utilized, including psoriasis GWAS data from the European Molecular Biology Laboratory–European Bioinformatics Institute and the UK Biobank. …”
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Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models by Yu Zhao, Zhiqiu Huang, Lina Gong, Yi Zhu, Qiao Yu, Yuxiang Gao

“…Through empirical research on (i) six classification techniques (random forest, decision tree, logistic regression, Naive Bayes, K-nearest neighbors, and multilayer perceptron), (ii) six performance evaluation indicators (Accuracy, Precision, Recall, F1, MCC, and AUC), (iii) two interpretable methods (permutation and SHAP), (iv) two feature importance measures (Top-k feature rank overlap and difference), and (v) three datasets (Promise, Relink, and AEEEM), our results show that the data transformation methods can significantly improve the performance of the SDP models and greatly affect the variation of the most important features. …”
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Predicting the Progress of Tuberculosis by Inflammatory Response-Related Genes Based on Multiple Machine Learning Comprehensive Analysis by Shuai Ma, Peifei Peng, Zhihao Duan, Yifeng Fan, Xinzhi Li

“…Hence, it is imperative to develop advanced molecular tools for TB risk stratification. Methods. The TB datasets were downloaded from the GEO database. Three machine learning models, namely LASSO, RF, and SVM-RFE, were used to identify the key characteristic genes related to inflammation during the progression of LTBI to ATB. …”
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Utility of Circadian Variability Patterns in Differentiating Origins of Premature Ventricular Complexes by Mu Chen, Qunshan Wang, Jian Sun, Peng-Pai Zhang, Wei Li, Rui Zhang, Bin-Feng Mo, Tai-Zhong Chen, Juyi Wan, Dong-Zhu Xu, Kazutaka Aonuma, Yi-Gang Li

“…We analyzed Holter recordings from patients with monomorphic PVCs who underwent catheter ablation. PVC circadian patterns were classified as fast-heart rate- (HR-) dependent (F-PVC), slow-HR-dependent (S-PVC), or HR-independent (I-PVC). …”
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Kształtowanie konkurencyjności regionu – nowego atrybutu przestrzeni gospodarczej Unii Europejskiej w świetle uwarunkowań polityki innowacyjnej perspektywy finansowej UE dla Polski... by Bożena Grad

“….: systemu instytucji, umiejętności i zachęt (podatkowych, kredytowych i in.), służących do: - wprowadzania innowacji, zwiększających konkurencyjność gospodarki i polepszających jakość życia społeczeństwa, - jednoczesnego przekształcania systemu badawczo-rozwojowego ze skierowanego do wewnątrz, na zorientowany na potrzeby kraju oraz gospodarki opartej na wiedzy, - zwiększania wzajemnych powiązań między nauką, techniką, rynkiem, administracją państwową i terytorialną, organizacjami pozarządowymi, edukacją. …”
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The Impact of ERAS and Multidisciplinary Teams on Perioperative Management in Colorectal Cancer by Qianqian Zhang, Qinfeng Sun, Junfeng Li, Xing Fu, Yuhuan Wu, Jiawei Zhang, Xia Jin

“…Results Patients in the ERAS group demonstrated significantly shorter hospital stays, quicker catheter removal, and earlier mobilization compared to the control group (P < 0.0001 for all). …”
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