Data of the crystal structure of xylose isomerase from Streptomyces avermitilisProtein Data BankZENODO by Ki Hyun Nam

“…The discovery and characterization of novel XI variants are important to enhance the effective industrial applications of XI. Recently, the X-ray diffraction data for XI from Streptomyces avermitilis (SavXI) were collected at a synchrotron. …”
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Research on the Bearing Load Measurement Method Based on the Fusion of Redundant Strain Data and Jacking Data by Chengwei Fang, Aihua Liu, Hanhua Zhu, Yibin Deng

“…Secondly, synchronize the measurement of strain data during the jacking phase and fuse the measurement data from the jacking phase based on the Bayesian estimation method to enhance the measurement accuracy of the jack-up method (JM). …”
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Data trace as the scientific foundation for trusted metrological data: a review for future metrology direction by Zhanshuo Cao, Boyong Gao, Zilong Liu, Xingchuang Xiong, Bin Wang, Chenbo Pei

“…These traces are especially important when the trust and integrity of potential data evidence are under threat. To this end, this article systematically reviews relevant core techniques and analyzes various detection methods across the different stages of the data lifecycle, evaluating their applicability and limitations in identifying data tampering, unauthorized access, and anomalous operations. …”
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A Lightweight File System Based Approach to Getting Data Ready for Data Management Solutions by Albert K. Engstfeld, Johannes M. Hermann, Nicolas G. Hörmann, Julian Rüth

“…We showcase several aspects and applications of the toolkit: automatic annotation of raw research data with human- and machine-readable metadata, data conversion into standardised frictionless Data Packages, and an API for exploring the data. …”
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A data driven approach to urban area delineation using multi source geospatial data by Chenyu Fang, Lin Zhou, Xinyue Gu, Xing Liu, Martin Werner

“…Abstract This study introduces a data-driven, bottom-up approach to urban delineation, integrating feature engineering with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, which represents a significant improvement in precision and methodology compared to traditional approaches that rely on simplistic OpenStreetMap (OSM) road node data aggregations. …”
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Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

“…To expand the model’s applicable range, a data fusion strategy was applied in different machine learning methods. …”
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Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. by Jörn P W Scharlemann, David Benz, Simon I Hay, Bethan V Purse, Andrew J Tatem, G R William Wint, David J Rogers

“…The algorithm was then applied to produce layers that capture the seasonality in MODIS data for the period from 2001 to 2005.<h4>Conclusions/significance</h4>Global temporal Fourier processed images of 1 km MODIS data for Middle Infrared Reflectance, day- and night-time Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI), and Enhanced Vegetation Index (EVI) are presented for ecological and epidemiological applications. …”
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Synthetic Financial Data: A Case Study Regarding Polish Limited Liability Companies Data by Aleksandra Szymura

“…Finally, the synthetic data were compared with the real ones in terms of statistical properties (e.g. shape of distributions, correlations etc.) and their applicability to machine learning models (PCA method). …”
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The state of food composition databases: data attributes and FAIR data harmonization in the era of digital innovation by Sarah Brinkley, Jenny J. Gallo-Franco, Natalia Vázquez-Manjarrez, Juliana Chaura, Naa K. A. Quartey, Sahar B. Toulabi, Melanie T. Odenkirk, Eva Jermendi, Marie-Angélique Laporte, Herman E. Lutterodt, Reginald A. Annan, Mariana Barboza, Endale Amare, Warangkana Srichamnong, Andres Jaramillo-Botero, Andres Jaramillo-Botero, Gina Kennedy, Jaclyn Bertoldo, Jessica E. Prenni, Maya Rajasekharan, John de la Parra, Selena Ahmed

“…To maximize the utility of food composition data, FCDBs must adhere to criteria such as validated analytical methods, high-resolution metadata, and FAIR Data Principles (Findable, Accessible, Interoperable, and Reusable). …”
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Data Fusion of Medical Records and Clinical Data to Enhance Tuberculosis Diagnosis in Resource-Limited Settings by Alvaro D. Orjuela-Cañón, Andrés F. Romero-Gómez, Andres L. Jutinico, Carlos E. Awad, Erika Vergara, Maria A. Palencia

“…The relevance of these strategies was assessed in collaboration with physicians to ensure their practical applicability in clinical decision-making. The results of the data fusion models were compared to determine which source provided more valuable diagnostic information. …”
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GPT Models Can Perform Thematic Analysis in Public Health Studies, Akin to Qualitative Researchers by Yuyi Yang, Charles Alba, Chenyu Wang, Xi Wang, Jami Anderson, Ruopeng An

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Enhancing educational through blended teaching: an analysis of teaching and learning quality with learning environment and social impacts by Tang Xinfa, Yang Xuejiao, Hao Guozu, Sun Yifei, Wan Youwei

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A machine learning‐based approach for wait‐time estimation in healthcare facilities with multi‐stage queues by Amjed Al‐Mousa, Hamza Al‐Zubaidi, Mohammad Al‐Dweik

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Overview and grouping of evaluation criteria for the effectiveness of mobile applications by A. I. Miftahova, E. I. Yangirov, E. I. Karaseva, A. I. Yangirov, E. Yu. Nikulina

“…The information obtained allows us to consider the problems of developing mobile applications from a new point of view. To evaluate the effectiveness of performance indicators, methods of comparative analysis of mobile application data are used.Result. …”
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Neurointerview as the latest method of marketing research by V. M. Nikonorov, D. V. Miroshnichenko, A. V. Nikiforova

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Utilizing an NLP-supported mobile reflection application to explore academic engagement, application engagement, and performance in engineering and physics courses by Saira Anwar, Ahmed Ashraf Butt, Muhsin Menekse

“…The effectiveness of these applications is influenced by multiple factors related to the courses and the applications themselves. …”
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METHODS AND TOOLS TO DEVELOP INNOVATIVE STRATEGIC MANAGEMENT DECISIONS BASED ON THE APPLICATION OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE STATISTICAL BRANCH OF... by Irina E. Zhukovskya

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Variational AutoEncoder for synthetic insurance data by Charlotte Jamotton, Donatien Hainaut

“…This article explores the application of Variational AutoEncoders (VAEs) to insurance data. …”
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Expanding the concept of ID conversion in TogoID by introducing multi-semantic and label features by Shuya Ikeda, Kiyoko F. Aoki-Kinoshita, Hirokazu Chiba, Susumu Goto, Masae Hosoda, Shuichi Kawashima, Jin-Dong Kim, Yuki Moriya, Tazro Ohta, Hiromasa Ono, Terue Takatsuki, Yasunori Yamamoto, Toshiaki Katayama

“…With its ability to obtain IDs related in different semantic relationships, a user-friendly web interface, and a regular automatic data update system, TogoID has been a valuable tool for bioinformatics. …”
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A 1.2-V, 106.4-dB DR Discrete-Time Sigma-Delta Modulator With Feedback Adaptive Cascaded Integrator for Sensor Applications by Ghayur Hussain, Nguyen van Quang, Muhammad Basim, Chang Hyeon Kim, Nabeel Ahmad, Sung June Byun, Kang-Yoon Lee

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