Large Language Models (LLMs) and Causality Extraction from Text by Wlodek Zadrozny

“…We also address challenges related to data availability and quality, such as varying definitions of causality. …”
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Constrained adversarial learning for automated software testing: a literature review by João Vitorino, Tiago Dias, Tiago Fonseca, Eva Maia, Isabel Praça

“…Automated software testing can be a promising solution to quickly analyze many lines of code and detect vulnerabilities and possible attack vectors by generating function-specific testing data. …”
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SARRA-Py: A Python-based geospatial simulation framework for agroclimatic modeling by Jérémy Lavarenne, Asse Mbengue

“…SARRA-Py is an open-source, Python-based adaptation of the long-standing SARRA crop model family–specifically building upon SARRA-H to enable spatially explicit agroclimatic simulations in tropical and data-limited environments. By leveraging Python's geospatial libraries (e.g., Xarray), SARRA-Py extends SARRA-H's proven crop physiology routines to large-scale, raster-based analyses, streamlines ingestion of diverse climate inputs with minimal preprocessing, and eases model customization via a modular code structure. …”
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A Theoretical Study to Calculate the Radiation Stopping Power for Electrons in Human Tissues by Musaab Imad

“…Comparing the results obtained with the value of the universal code E-Star, it was found that they matched well and that the error rate was less than (1 %). …”
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Detailed Transfer Line Beam Characteristics at an Operational Proton Therapy Center [version 2; peer review: 2 approved] by George H. Gillespie, Joshua Konzer

“…A computer tool, utilizing nonlinear constrained optimization programs that are integrated with a beam envelope code, was used to find detailed beam phase space parameters (centroids, sigma matrices) that reproduced the measured data. …”
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DMRS: Long-tailed remote sensing recognition via semantic-aware mixing and diversity experts by Yifan Wang, Fan Zhang, Qihao Zhao, Wei Hu, Fei Ma

“…These results highlight the potential of DMRS in tackling long-tail challenges in remote sensing scene classification. The data and codes used in the study are detailed in: https://github.com/wyfhbb/DMRS.…”
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The constellations of child fostering in Kenya: Considering location and distance by Cassandra Cotton, Clement Oduor

“…We mapped locations of fostered-out children using geo-coded data, determining ‘hot spots’ while exploring distance from mothers, and analyzed qualitative and quantitative data to examine mothers’ perceptions of distance as a barrier to maternal–child relationships. …”
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Sherlock-Genome: an R Shiny application for genomic analysis and visualization by Alyssa Klein, Jun Zhong, Maria Teresa Landi, Tongwu Zhang

“…Documentation and data requirements for user project data can also be found on the same GitHub page.…”
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Design a knowledge-based governance model in executive organizations by Seyedeh Sadaf Veshkaei Nejad, Mohammad Doustar, Esmaei Malekakhlagh, Keikhosro Yakideh

“…We used MAXQDA software to analyse the data. 302 codes are identified and placed in the 46 subcategories and 18 main categories, which are in 6 main categories under the headings of causal conditions, including sharing, creating, preserving and maintaining knowledge, competence of managers. background conditions, including creating infrastructure, structure organization and culture of the organization. …”
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Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation by Yanan Bai, Liji Xiao, Chongjun Xia, Kexiang Zeng, Xiaoyu Shi

“…The code is available at https://github.com/shixiaoyu0216/TCA4Rec/tree/main .…”
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View adaptive multi-object tracking method based on depth relationship cues by Haoran Sun, Yang Li, Guanci Yang, Zhidong Su, Kexin Luo

“…Different views (front-view and top-view) have different imaging and data distribution characteristics, but the current MOT methods do not consider these differences and only adopt a unified association strategy to deal with various occlusion situations. …”
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Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction by Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

“…Therefore, gathered SVP data sets often have numerous features and result in the curse of dimensionality. …”
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A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed ICESat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep Learning by Forrest Corcoran, Christopher E. Parrish, Lori A. Magruder, J. P. Swinski

“…The procedures and source code are publicly available and will enhance the value of the new ICESat‐2 bathymetry data product, ATL24, which is scheduled for release in Fall 2024. …”
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Concerning the “repression” of ω -3 polyunsaturated fatty acids by adepts of evidence-based medicine by I. Yu. Torshin, O. A. Gromova, Zh. D. Kobalava

“…A detailed analysis of this text, however, pointed to gross violations of data collection and processing. By using modern mathematical methods for big data analysis we were able to demonstrate clearly that the authors of the text CD003177 used clinically heterogeneous cohorts of patients. …”
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GEDTM30: global ensemble digital terrain model at 30 m and derived multiscale terrain variables by Yu-Feng Ho, Carlos H. Grohmann, John Lindsay, Hannes I. Reuter, Leandro Parente, Martijn Witjes, Tomislav Hengl

“…Copernicus DEM, ALOS World3D, and object height models were combined in a data fusion approach to generate a globally consistent digital terrain model (DTM). …”
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Designing a mobile health platform for effective medical records management in hospitals by C. Yuvarajan, S. Nithya Priya, A. Bhoomadevi

“…This approach empowers healthcare professionals, including doctors, nurses, and Postgraduates (PGs), to efficiently access, update, and retrieve patient information, thereby improving communication and data sharing. The LCNC platform enables non-technical users to create a customized application without complex coding, streamlining the development process and accelerating time-to-market. …”
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Machine learning and transfer learning techniques for accurate brain tumor classification by Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar

“…Numerical data was processed with LightGBM, achieving an accuracy of 95.7 %. …”
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Telemedicine Use Before and During the COVID-19 Pandemic in People with Alzheimer’s Disease, Multiple Sclerosis, or Parkinson’s Disease: A Cross-Sectional Study Using US Commercial... by Anisha M. Patel, Robert Schuldt, Denise M. Boudreau, Bryan R. Cobb, Nikki Win, Marisa P. McGinley

“…Methods: This cross-sectional study used US PharMetrics Plus commercial claims data from January 1, 2019, to December 31, 2021. …”
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Possibilities and reserves of using electronic medical records data in health information systems on the example of assessing the causes of visits to outpatient clinics and death i... by I. V. Samorodskaya, R. N. Shepel, I. V. Klyuchnikov, M. M. Lukyanov, S. Yu. Martsevich, E. P. Kakorina, O. M. Drapkina

“…In 92 (3,9%) patients, MI was the reason for visiting in 2020-2021 and the initial cause of death in 2021, while in 1404 (59,6%) patients who did not visit for CAD or MI in 2020-2021, MI was the initial cause of death in 2021. Following data recording errors were revealed: only in 28 (12,7%) of 219 cases after MI were codes recommended in the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) for recording cases of post-infarction cardiosclerosis (I25.8) indicated; in 326 (16,5%) cases among those who died from MI, codes I22.0-9 were used, which are not recommended to be indicated as the underlying cause of death. …”
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Exploring the Relationship Between Project Characteristics and Time–Cost Deviations for Colombian Rural Roads by Jose Quintero, Alexander Murgas, Adriana Gómez-Cabrera, Omar Sánchez

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