Intelligent Gas Sensors for Food Safety and Quality Monitoring: Advances, Applications, and Future Directions by Heera Jayan, Ruiyun Zhou, Chanjun Sun, Chen Wang, Limei Yin, Xiaobo Zou, Zhiming Guo

“…Metal-oxide semiconductors and optical sensors are widely studied for their potential use as gas sensors in food quality assessments due to their ability to provide visual indicators to consumers. The advancement of new nanomaterials and their integration with advanced data acquisition techniques is expected to enhance the performance and utility of sensors in sustainable practices within the food supply chain.…”
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Wise Governance – Elements of the digital strategies of municipalities by Christian SCHACHTNER

“…The Objective of the research project is focussed on answers to the questions of Strategies on multi-time acceptable and responsible governance standards in a portfolio of data-based, bureaucracy-reducing and trend-based topics. …”
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Utilizing rat kidney gene co-expression networks to enhance safety assessment biomarker identification and human translation by Steven J. Kunnen, Giulia Callegaro, Jeffrey J. Sutherland, Panuwat Trairatphisan, Hugo W. van Kessel, Lukas S. Wijaya, Git Chung, Keith Pye, Keith M. Goldstein, Claire R. Teague, Ciaran P. Fisher, Julio Saez-Rodriguez, Colin Brown, Susan A. Elmore, Kathleen M. Heinz-Taheny, James L. Stevens, Bob van de Water

“…Summary: Toxicogenomic data provide key insights into molecular mechanisms underlying drug-induced organ toxicities. …”
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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

“…Lastly, it compares the impact of non-academic data separately on a student's performance and with academic data as well. …”
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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

“…Lastly, it compares the impact of non-academic data separately on a student's performance and with academic data as well. …”
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Use of End-to-End Tool for the Analysis of the Digital Governance of Ports by Nicoletta González-Cancelas, Alberto Camarero Orive, Alberto Rivas Vilarchao, Javier Vaca-Cabrero

“…Regulatory frameworks for data security are crucial, and digital governance emerges as vital for global success.…”
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Vit-Traj: A Spatial–Temporal Coupling Vehicle Trajectory Prediction Model Based on Vision Transformer by Rongjun Cheng, Xudong An, Yuanzi Xu

“…Accurately predicting the future trajectory of road users around autonomous vehicles is crucial for path planning and collision avoidance. In recent years, data-driven vehicle trajectory prediction models have become a significant research focus, and various spatial–temporal neural network models, based on spatial–temporal data, have been proposed. …”
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Site Component—k₀ and Its Correlation to V_S30 and the Site Fundamental Frequencies for Stations Installed in N. Macedonia by Marina Poposka, Davor Stanko, Dragi Dojchinovski

“…The site characteristics of the stations are determined through geophysical and borehole investigations, as well as HVSR mean curves derived from earthquake data. The strong-motion data used in this analysis originate from earthquake events with a moment magnitude greater than 3 (M_W > 3), an epicentral distance less than 120 km (R_epi < 120 km), and a focal depth lower than 30 km (h < 30 km). …”
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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

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1-year results of lumbar spinal stenosis surgery in Finland: a national FinSpine register study by Juho Hatakka, Inari Laaksonen, Joel Kostensalo, Keijo T Mäkelä, Henri Salo, Katri Pernaa

“…We aimed to assess the outcome of LSS surgery at 1 year postoperatively and to compare decompression surgery with or without fusion based on the Finnish national spine register FinSpine data. Methods: FinSpine data of surgically treated LSS from 2015 to 2022 was included. …”
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Expanding on Methodologies for Analyzing Truck Speeds in States with Differential Speed Limits by Gregory L. Brinster, Jairaj Desai, Rahul Suryakant Sakhare, Jijo K. Mathew, Darcy M. Bullock

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Meta-analysis of clinical trials of osteoarthritis treatment effectiveness with Chondroguard by I. Yu. Torshin, A. M. Lila, A. V. Naumov, A. Yu. Kochish, L. I. Alekseeva, E. A. Taskina, I. V. Sarvilina, A. N. Galustyan, A. N. Gromov, A. K. Khadzhidis, L. V. Vasilieva, E. F. Yevstratova, M. I. Udovika, O. A. Gromova

“…For each study, information was collected on 23 features. Data analysis was carried out using the MEDSTUDY and "R" software packages.Results. …”
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Cancer Risk Reduction by Dietary Guideline Adherence: A Prioritization Approach with a Web App by Ruidong Zhang, Pricivel Carrera, Odile Elias, Tobias Norajitra, Angela Goncalves, Klaus Maier-Hein

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Determining the efficiency of low-intensity laser radiation exposure with a wavelength of 445 nm appliied to the gingival area according to the data from laser doppler flowmetry by Natalia V. Romanenko, Ekaterina V. Tulskikh, Natalia M. Kirsanova, Svetlana V. Tarasenko

“…Statistical analysis and visualization of the obtained data were performed using the R 4.4.2 statistical calculations medium. …”
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Monitoring Vertical Urban Growth in Rapidly Developing Cities with Persistent Scatterer Interferometry: A Multi-Temporal Assessment with COSMO-SkyMed Data in Wuhan, China by Zeeshan Afzal, Timo Balz, Francesca Cigna, Deodato Tapete

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Prediction of Li-ion conductivity in Ca and Si co-doped LiZr2(PO4)3 using a denoising autoencoder for experimental data by Yumika Yokoyama, Shuto Noguchi, Kazuki Ishikawa, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Ryo Kobayashi, Masayuki Karasuyama

“…An attention mechanism was introduced to the deep learning model that focuses on XRD crystal-structure information and visualization of important factors embedded in the XRD profiles. …”
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Beware of diffusion models for synthesizing medical images—a comparison with GANs in terms of memorizing brain MRI and chest x-ray images by Muhammad Usman Akbar, Wuhao Wang, Anders Eklund

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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…The advantage of the research lies in the interaction and visualization of fusion of multi-source data, but it is limited to the accuracy of finite element simulation and the difficulty of obtaining actual stress data. …”
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Early warning prediction of external force destruction in transmission lines based on automatic clustering model by Dayan MA

“…The external force destruction has become a major threat to the safe and stable operation of overhead transmission lines,bringing difficulties to the defense and early warning work.In order to solve the problem that the traditional clustering center is difficult to accurately determined and susceptible to abnormal points,an automatic clustering method for data analysis work of transmission lines was presented,and external damage data was analyzed from time and space latitude.Firstly,the cluster center was initialized in this method by using Canopy algorithm.Then,the optimized K-means algorithm was used to perform clustering.Finally,the effectiveness of this method was proved by experimental analysis.This method will be applied to the GIS module in the power information system,which can realize the spatio-temporal visualization of the analysis results and provide powerful decision support for finding cause of the external force damage of the transmission line.…”
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Using modern clustering techniques for parametric fault diagnostics of turbofan engines by I. J. Buraimah

“…It becomes imperative to use modern techniques in data analysis that can handle large volumes of generated data and provide clear visual results for determining the technical status of the engine under investigation/monitoring. …”
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