Do randomised clinical trials on dental caries adopt Open Science practices? by Carolina de Picoli Acosta, Jaisson Cenci, Bruna Brondani, Rokaia Ahmed Elagami, Tatiana Pereira-Cenci, Maximiliano Sergio Cenci, Marie-Charlotte D. N. J. M. Huysmans, Daniela Prócida Raggio, Mariana Minatel Braga, Fausto Medeiros Mendes

“…The collected variables related to OSPs were reporting guidelines, protocol registration, detailed methodology available, open-source software, statistical analysis code sharing, statistical analysis plan, data sharing, open peer review, and open access. …”
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Inveestigating the Potential and Foundations of Pilgrimage Rituals Based on the Understanding of the Semantic System of the Participants in the Arbaeen Walk by rezadost karim, marziyeh shahryari

“…Data analysis in open coding led to the identification of main factors, components and sub-components. …”
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Reconstruction of high-energy part of the gamma-ray spectrum in thermal neutron capture by 113Cd by V. A. Plujko, O. M. Gorbachenko, K. M. Solodovnyk, V. M. Petrenko

“…Two approaches are considered for estimation of the average gamma-ray spectrum with normalization of the experimental data: mean spectra for all gamma-energies were found by averaging frequency polygon for experimental data histogram, and mean spectra were estimated as the combination of theoretical values at low gamma-ray energies and averaging experimental data in high-energy range. …”
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Simulation and Comparative Study of Interaction Between Ray and Medium in Borehole Based on FLUKA Software by LIU Juntao, LI Wenxin, MARINA R. ABDELNOUR, TIAN Heng, WANG Yiwei, GAO Yuan, LIU Zhiyi

“…In nuclear logging, Monte Carlo simulation method is widely employed across various stages from instrument development and design to data interpretation. While Monte Carlo N-Particle Transport Code (MCNP) has been the primary tool for research and problem-solving in this domain, its usage has long been constrained by licensing restrictions, posing challenges for researchers. …”
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Consumer in insurance law by Čorkalo Milena

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Predictable Paths: Novel ASLR Bypass Methods and Mitigations by Bramwell Brizendine, Bhaskar P. Rimal

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Application of artificial intelligence for commodity identification for customs purposes by Galina Yu. Fedotova, Anna Yu. Komelova

“…The result of the complex study allowed considering comprehensively the possibilities of practical application of artificial intelligence and evaluating the actually obtained results for the studied group of goods. The obtained data on identifying the classification features of commodities taken into account in the model can be used for its further development.…”
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The qualifying features of minors’ corruption: a criminal law analysis by Pysmenska O.

“…The methodology includes a comprehensive review and synthesis of the existing research data on the characteristics that qualify corruption of minors and the formulation of relevant conclusions and recommendations. …”
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The prevalence of electrocardiographic abnormalities in the Russian population in the early 21st century (the ESSE-RF study) by G. A. Muromtseva, V. G. Vilkov, V. V. Konstantinov, A. D. Deev, E. V. Oshchepkova, O. P. Rotar, S. A. Shalnova

“…There is a steady association of ECG data with socio-demographic characteristics.…”
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ATM: Adaptive transformer model for reconstruction of remote sensing multi-temporal non-equispaced sequence imagery by Zhi-peng Qi, Zi-yi Zhao, Xing Jin

“…To realize efficient information processing by dynamically adjusting the weight distribution of the internal relations of data, the core workflow of ATM is divided into three steps: feature coding, relationship evaluation and adaptive focusing. …”
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Aggressive serous ovarian cancer subtype defined by high centrality lncRNA profiles and master transcription factors by Seonhyang Jeong, Young Suk Jo, Sunmi Park, Hwayoung Lee, Eun Gyeong Park, Sang Geun Jung, Jandee Lee

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Analyzing the Social and Cultural Determinants of Keeping and Using Firearms in Khuzestan Province by Masoumeh Bagheri, Marziyeh Shahryari, Sajad Bahmani, Ali Boduaghi

“…In-depth interviews were the primary technique used for data collection. Data analysis followed the systematic approach of contextual theory, employing open, axial, and selective coding methods. …”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…In modern astronomy, the quantity of data collected has vastly exceeded the capacity for manual analysis, necessitating the use of advanced artificial intelligence (AI) techniques to assist scientists with the most labor-intensive tasks. …”
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Assimilation of the total electron content obtained from GNSS to a model of the ionosphere using a hierarchical Bayesian network by Tang Jun, Hu Jiacheng, Zhang Wei, Fan Cihang, Zhou Qiangbo

“…For this analysis, we use the total electron content (TEC) data from the Center for Orbit Determination in Europe (CODE) and BeiDou Navigation Satellite System (BDS) geostationary earth orbit (GEO) experiments. …”
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Welding defect detection with image processing on a custom small dataset: A comparative study by József Szőlősi, Béla J. Szekeres, Péter Magyar, Bán Adrián, Gábor Farkas, Mátyás Andó

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Comprehensive Laboratory Benchmark of K-shell Dielectronic Satellites of Fe xxv–xxi Ions by Chintan Shah, Pedro Amaro, Filipe Grilo, Ming Feng Gu, Liyi Gu, José Paulo Santos, F. Scott Porter, Thomas Pfeifer, Maurice A. Leutenegger, José R. Crespo López-Urrutia

“…By normalization to known radiative recombination cross sections, we also determine their excitation cross sections and that of the continuum with uncertainties below 15% and verify our results with an independent normalization based on previous measurements. Our experimental data excellently confirm the accuracy and suitability of distorted-wave calculations obtained with the Flexible Atomic Code for modeling astrophysical and fusion plasmas.…”
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Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications by Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni Chatzi

“…The intersection of physics and machine learning has given rise to the physics-enhanced machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the individual shortcomings of data- or physics-only methods. In this paper, the spectrum of PEML methods, expressed across the defining axes of physics and data, is discussed by engaging in a comprehensive exploration of its characteristics, usage, and motivations. …”
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Improving Radio Signal from Baghdad University Radio Telescope Using the Savitzky-Golay Filter by Zahraa A. Hussein, Hareth S. Mahdi

“…Observations from BURT were carried out for different Galactic coordinates, and then a MATLAB code was written and used to implement the Savitzky-Golay filter for the collected data. …”
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A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

“…These tweets were extracted from a larger initial corpus using the keyword “Artificial Intelligence” and subsequently filtered to ensure data quality, multilingual coverage, and public accessibility. …”
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Taxi origin and destination demand prediction based on deep learning: a review by Dan Peng, Mingxia Huang, Zhibo Xing

“…Finally, we provide public datasets and open-source code, along with suggestions for future research directions.…”
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