Data on Swiss consumers’ perception of different types of sustainability levies, agriculture and willingness to choose suboptimal potatoes in different settingsZenodo by Jeanine Ammann, Gabriele Mack, Rita Saleh

“…Before collecting this data, ethical approval was obtained from the Agroscope ethical commission (application EK-AGS-2024-N-01).…”
Get full text

A Machine Learning‐Based Observation Operator for FY‐4B GIIRS Brightness Temperatures Considering the Uncertainty of Label Data by Yonghui Li, Wei Han, Wansuo Duan, Zeting Li, Hao Li

“…Additionally, the temperature and water vapor Jacobian computed by both models are comparable to those obtained from RTTOV, highlighting their potential for application as observational operator in satellite data assimilation for hyperspectral infrared sounder.…”
Get full text

Exploring Built Environment Visual Interactions: A SoftBIM Data-Driven Approach for a Database About the Outdoor View by Matteo Cavaglià, Alberto Speroni, Juan Diego Blanco Cadena, Andrea Giovanni Mainini, Tiziana Poli

“…Even when such metrics are available, their practical use as guiding tools in the design process is frequently obstructed by complex data interoperability procedures. These procedures are necessary to enable seamless data transfer across the multiple software environments involved in the design process. …”
Get full text

Regional Glacier Mapping and Change Analysis in the Gangshika Region of Qilian Mountain Based on Deep Learning and Satellite Data Time-Series by Lihao Chen, Wei Xu, Zhen Cao, Jiaqi Zhang, Zhizhong Kang

Get full text

Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data by Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan

“…This has a high potential for wide application in earthquake early warning systems.…”
Get full text

Assessing Building Seismic Exposure Using Geospatial Technologies in Data-Scarce Environments: Case Study of San José, Costa Rica by Javier Rodríguez-Saiz, Beatriz González-Rodrigo, Juan Gregorio Rejas-Ayuga, Diego A. Hidalgo-Leiva, Miguel Marchamalo-Sacristán

“…Despite this trend, seismic exposure assessments have predominantly focused on cities in high-income countries, leaving a knowledge gap in data-scarce, seismically active urban areas. This research presents a novel, scalable geospatial methodology for seismic exposure assessment in contexts with limited data availability and its application to San José, Costa Rica, evaluating its time and cost efficiency. …”
Get full text

Red cell distribution width and clinical outcomes in sepsis patients infected with Escherichia coli using data from MIMIC-IV by Kexiang Qin, Yingjie Su, Ning Ding

Get full text

Overtourism and gender equality: Empirical evidence from the EU27 member states by Anna Kyriakaki, Eirini Arvanitaki, Antonios Adamopoulos, Georgios Bertsatos, George M. Agiomirgianakis

“…Methods: The article utilises several panel data estimators (GLS, robust LS, and OLS combined with a forward-selection approach) within the EU27 states to shed light on a possible link between overtourism and the Gender Equality Index. …”
Get full text

Operation Management Mode Based on New Media Technology by Peng Han

Get full text

THE ORGANIZATION OF INTERLABORATORY COLLATING TESTS IN THE CENTRAL FACTORY LABORATORY OF THE OJSC «BSW – MANAGEMENT COMPANY OF HOLDING «BMC» by G. N. Voronina

Get full text

Exploration and Practice of Cloud Platform About Supporting Telecom Operators Intensive Management by Jingwei Yang, Lin Hu, Jinling Li, Zhiyong Liu

Get full text

Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction by Qinghang Wang, Xu Qin, Shouxin Xia, Li Wang, Weiqi Wang, Weiying Huang, Yan Song, Weineng Tang, Daolun Chen

“…The data augmentation technique expands the original dataset through Gaussian noise. …”
Get full text

Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…MethodsA total of 4.9 million posts were extracted from Facebook, Twitter, Reddit, and 16 online cancer-related forums. The textual data were preprocessed by natural language processing. …”
Get full text

Taipei Medical University Clinical Research Database: a collaborative hospital EHR database aligned with international common data standards by Tzu-Hao Chang, Hsuan-Chia Yang, Min-Huei Hsu, Chih-Wei Huang, Phung-Anh Nguyen, Chia-Te Liao, Christine Y. Lu, Jason C. Hsu

“…The dataset offers insights into disease prevalence, medication usage, laboratory tests and patient characteristics.Discussion TMUCRD stands out due to its unique advantages, including diverse data types, comprehensive patient information, linked mortality and cancer registry data, regular updates and a swift application process. …”
Get full text

Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

Get full text

Integrative analysis of multi-omics data identified PLG as key gene related to Anoikis resistance and immune phenotypes in hepatocellular carcinoma by Xueyan Wang, Lei Gao, Haiyuan Li, Yanling Ma, Bofang Wang, Baohong Gu, Xuemei Li, Lin Xiang, Yuping Bai, Chenhui Ma, Hao Chen

“…This study provides novel insights into the molecular subtypes of HCC through the application of robust clustering algorithms based on multi-omics data. …”
Get full text

Spatio-temporal Dynamics and Drivers of Soil Loss in the Poyang Lake Basin Based on GEE and Multi-Source Remote Sensing Data by N. Wei, Y. Lin, Y. Lin, J. Yu, Y. Yang

Get full text

Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learning by Jiuhui Li, Zhengfang Wu, Shuo Zhang, Wenxi Lu

“…A data assimilation approach-unscented Kalman filter is complex to operate due to the need to repeatedly restart the simulation model, and the identification accuracy needs to be improved further for application to IGPSs with strong nonlinear characteristics. …”
Get full text

Global fisheries sustainability performance data collected from pre-assessments against the Marine Stewardship Council’s fisheries standardZenodo by Jennifer Rasal, Michael C. Melnychuk, Sophie Ferber, Amanda Lejbowicz, Carlos Montero-Castaño, Catherine Longo

“…Fields were included to link to other available global databases, including MSC full assessments, FIP databases, and global wild-capture production data assembled by FAO, facilitating wider application to global fisheries analyses.…”
Get full text

Leveraging Machine Learning for Process Monitoring in Environmental Impact Tracking by Deepak Behera, Sandeep Kumar Behura, Shakina Bano, Neelamadhab Padhy

“…<b>Context:</b> The Environmental Impact Tracker is an application designed in such a way that it will monitor and visualize the data of an individual or an organization that will help them to know about their day-to-day activities that create an impact on the environment [...]…”
Get full text