Real-World Data Simulation Comparing GHG Emissions and Operational Performance of Two Sweeping Systems by Bechir Ben Daya, Jean-François Audy, Amina Lamghari

“…Using simulation models based on real-world data and integrating fuel consumption models, the analysis replicates sweeping behaviors to assess both operational and environmental performance. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…Over four imaging campaigns conducted during early subsoil parasitic stages, multispectral data were collected and processed to compute ten VIs. …”
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A Robust Image Encryption Protocol for Secure Data Sharing in Brain Computer Interface Applications by Sunil Prajapat, Pankaj Kumar, Kashish Chaudhary, Kranti Kumar, Gyanendra Kumar, Ali Kashif Bashir

“…Results include an entropy value of 7.98, Unified Average Changing Intensity (UACI) of 33.4%, Normalized Pixel Change Rate (NPCR) of 99.6%, and negative correlation coefficient values, indicating efficient and effective encryption and decryption processes.…”
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Linking local cancer registries and national death records: a crucial step for accurate survival data in Saudi Arabia by Doha Mohammed Rayed Fatani, Tusneem Elhassan, Narmeen Shaikh, Noara Alhusseini

“…Results The survey outcome revealed that 100% (n = 9) of the experts preferred the proposed computerized linkage method to update cancer survival data. The survival analysis using the healthcare system's mortality data without linkage to the National Death Registry results in an overestimated survival rate of 77.9% vs. 70.2%, with a P-value < 0.001. …”
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Thermogravimetric data suggest synergy between different organic fractions and clay in soil structure formation by Ivan Šimkovic, Andrej Hrabovský, Adela Joanna Hamerníková, Silvia Ihnačáková, Pavel Dlapa

“…Besides significant correlations with basic soil properties and contents of selected nutrients, the aggregate stability data were linked to thermal processes, such as water desorption and SOM degradation. …”
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Association of alcohol consumption and dietary patterns in the adult population: data from the ESSE-RF study by N. S. Karamnova, A. I. Rytova, O. B. Shvabskaya, S. A. Shalnova, S. A. Maksimov, Yu. A. Balanova, S. E. Evstifeeva, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, O. M. Drapkina

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Pengembangan Internet Of Things (IOT) Dalam Perekaman Data Iklim Mikro Dengan Platform Thingsboard by Heru Nurwarsito, Resnu Wahyu Adaby

“…The system also has plus points that are user-friendly and effective for microclimate data monitoring applications. This research also involves a calibration process using regression methods to show the success rate and accuracy value with results approaching 100%. …”
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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…This approach provides scientific support for safety monitoring and stability evaluation of canal slopesMethodsFirst, SBAS-InSAR was employed to process Sentinel-1A satellite imagery, extracting time-series deformation data. …”
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Microsaccades: Empirical Research and Methodological Advances by Susana Martinez-Conde, Ralf Engbert, Rudolf Groner

“…Recent technical developments and increased affordability of high-speed eye tracking devices have brought microsaccades to the forefront of research in many areas of sensory, perceptual, and cognitive processes. The present thematic issue on “Microsaccades: Empirical Research and Methodological Advances” invited authors to submit original research and reviews encompassing measurements and data analyses in fundamental, translational, and applied studies. …”
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Enhancing privacy in IoT-based healthcare using provable partitioned secure blockchain principle and encryption by C. S. Madhumathi, K. Vishnu Kumar

“…To combat this issue, this paper introduces the prediction and Provable Partitioned Secure Block Chain Principle (PPSBCP) technique is used to secure healthcare data sharing. Initially, in the healthcare data analysis phase, the Preprocessing and normalization are carried out by Z-score normalized for analysing the healthcare-sensitive margins. …”
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Evaluating the performance of transport equations through long-term records of integrative measured bedload data by Andrea Lammer, Rolf Rindler, Michael Tritthart, Marcel Liedermann, Markus Moser, Dorian Shire-Peterlechner, Sabrina Schwarz, Helmut Habersack

“…Temporal and spatial variability and a wide range of measured transport rates at comparable flow rates are well-known characteristics of the bedload transport process but represent substantial difficulties in practice and for load calculation. …”
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Analysis of Morbidity and Mortality Rates from Malignant Neoplasms of Trachea, Bronchi, Lungs of Professional Genesis in Men aged 40 to 65 Years Old in the Russian Federation by P. O. Khvalyuk

“…To analyze the morbidity and mortality rates from the trachea, bronchi, lungs MN in men in the age range from 40 to 65 years in 2010–2020.Materials and methods. …”
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Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning by Sarah Dandou, Kriti Amin, Véronique D’Hondt, Jérôme Solassol, Olivier Dereure, Peter J. Coopman, Ovidiu Radulescu, Holger Fröhlich, Romain M. Larive

“…This exploratory analysis compared the predictive performance of a dataset that contained clinical features alone and supplemented with baseline genomic data. In the evaluation set (two cohorts, n = 111), the cross-validated model performance improved when pre-processed genomic data, such as mutation rates, were added to the clinical features. …”
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Comparing the Utility of Capture–Mark–Recapture, Telemetry, and Genetic Data in Assessing Population-Level Dispersal by Shashwat Sirsi, Brian J. Halstead, Michael L. Morrison, M. Clay Green, David Rodriguez, Michael R. J. Forstner

“…Gaps in dispersal data limit habitat protection efforts. We sought to characterize such gaps and compare the utility of dispersal data from demographic and genetic methods in making habitat protection decisions. …”
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Identifying rare variants inconsistent with identity‐by‐descent in population‐scale whole‐genome sequencing data by Kelsey E. Johnson, Christopher J. Adams, Benjamin F. Voight

“…However, there are genetic and technical processes through which rare variants in population genetic data may deviate from this simple evolutionary model, including recurrent mutations, gene conversions and genotyping error. …”
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Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data by Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Nicolás Mendoza-Mejía, Nicolás Mendoza-Mejía, Janneth González, Jason Papin, Jason Papin, Jason Papin, Andrés Felipe Aristizábal, Andrés Pinzón

“…IntroductionThe availability of large-scale multi-omic data has revolution-ized the study of cellular machinery, enabling a systematic understanding of biological processes. …”
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Data-driven modeling approaches for pressure drop prediction in a multi-phase flow system by Nezar M. Alyazidi, Aiman F. Bawazir, Ala S. AL-Dogai

“…It does this by using two different data-driven models, nonlinear ARX and Hammerstein-Wiener, instead of neural networks (NNs), so that the models don’t get too good at fitting environments with lots of changes and little data. …”
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Soil Health Assessment in the Qinling Reclamation Area Based on Minimum Data Set and Risk Index by ZHANG Le, LI Chunyue, GAO Chuanyu, GUO Huan, LI Yifan

“…Soil samples were collected from different depths (0~20 cm and 20~40 cm), and the analysis was conducted using the Minimum Data Set (MDS) method combined with 35 soil physical, chemical, and biological indicators, along with the contents of four heavy metals. …”
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A new investigation on modeling of permeability reduction during CO2 flooding processes in sandstone oil reservoirs by Taraneh Jafari Behbahani

“…Subsequently, this model has been used for examining the effect of well production rate and the initial reservoir permeability on the asphaltene deposition behavior in a typical reservoir during CO2 injection process. …”
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Effective process quality control management for constipation prevention in hospitalized patients with acute coronary syndrome: An observational study by Xing Miao, Yan Zheng, Xiufang Huang, Hui Jiang

“…Results In comparison to the control group, the observation group demonstrated significant advantages in terms of constipation incidence, completion rates of the five process quality control indicators, occurrence rates of adverse cardiac events during defecation, and PHQ‐9 scores before discharge. …”
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