APPLICATION OF ARTIFICIAL INTELLIGENCE IN ORTHODONTIC DENTISTRY (LITERATURE REVIEW) by Yu.Ye. Lokota, Ye.Yu. Lokota, M.E. Izay, M.I. Kayla

“… The aim of the study is to systematize and review the available research data on the application of artificial intelligence in orthodontics. …”
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Prototype System for Supporting Medical Diagnosis Based on Voice Interviewing by Artur Samojluk, Piotr Artiemjew

“…An analysis of data mining and selected machine learning methods was carried out to develop an effective diagnosis algorithm. …”
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Tax compliance and privacy rights in profiling and automated decision making by Luisa Scarcella

“…New technologies allow tax authorities to carry out faster and automated analysis of large amounts of data, minimising errors and saving time. …”
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Eosinopenia as a predictor of clinical outcomes in hospitalized patients with community-acquired pneumonia: A retrospective cohort study. by Wigdan Farah, Zhen Wang, Ognjen Gajic, Yewande E Odeyemi

“…Contrary to previously published data, our analysis did not demonstrate an association between eosinopenia and increased mortality risk in hospitalized patients with CAP highlighting the complexity of CAP prognosis.…”
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Dynamic Voltage Balancing Across Series-Connected 10 kV SiC JBS Diodes in Medium Voltage 3L-NPC Power Converter Having Snubberless Series-Connected 10 kV SiC MOSFETs by Sanket Parashar, Nithin Kolli, Raj Kumar Kokkonda, Ajit Kanale, Subhashish Bhattacharya, Bantval Jayant Baliga

“…This article provides simplified steps for the design and analysis of the <inline-formula><tex-math notation="LaTeX">$RC$</tex-math></inline-formula> snubber in various test benches, validated by experimental data. …”
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Automated Detection of Center-Pivot Irrigation Systems from Remote Sensing Imagery Using Deep Learning by Aliasghar Bazrafkan, James Kim, Rob Proulx, Zhulu Lin

“…Spatial autocorrelation and hotspot analysis revealed systematic prediction errors, suggesting a need to adjust training data regionally. …”
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Accurate Automation of Deadweight Force Standard Machine Based on Artificial Intelligent Model at NMCC-SASO-KSA by AlGhamdi Hamad A., Binown Abdulelah A., AlMatrawi Ahmed A.

“…The loading process was controlled to minimize disturbances and ensure accurate readings. The third step is Data Acquisition and Analysis, which includes a high-precision amplifier that collect force data during loading, process the acquired data, compensate for environmental factors (e.g., temperature and humidity) based on LabVIEW, and apply statistical analysis techniques to estimate the force values using python script based on classification machine learning. …”
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Personalised selection of medication for newly diagnosed adult epilepsy: study protocol of a first-in-class, double-blind, randomised controlled trial by Mark Howard, Wendyl D’Souza, Emma Foster, Patrick Carney, Zanfina Ademi, Patrick Kwan, David N Vaughan, James Lee, Clare Stapleton, Zongyuan Ge, Zhibin Chen, Natasha A Lannin, Udaya Seneviratne, Robert Sparrow, Piero Perucca, Armin Nikpour, Chong Wong, John-Paul Nicolo, Michelle Kiley, Terence O’Brien, Jacqui-Lyn Saw, Dean Jones, David Reutens, Sandra Reeder, Richard Shek-kwan Chang, Ernest Somerville, Tania Farrar, Daniel Thom, Lata Vadlamudi

“…Introduction Selection of antiseizure medications (ASMs) for newly diagnosed epilepsy remains largely a trial-and-error process. We have developed a machine learning (ML) model using retrospective data collected from five international cohorts that predicts response to different ASMs as the initial treatment for individual adults with new-onset epilepsy. …”
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Impact of Virtual Care With Remote Automated Monitoring on the Rate of Acute Hospital Care Post Discharge and Index Length of Hospital Stay: Protocol for the Post Discharge After S... by Sandra Ofori, Michael H McGillion, Flavia K Borges, Carley Ouellette, Ameen Patel, David Conen, Maura Marcucci, Michael Ke Wang, Lily Jaeyoung Park, Conor Bell, Jennifer Lounsbury, Kanae Nagatani, Vikas Tandon, Trevor J Wilkieson, Ahraaz Wyne, Valerie Harvey, Stephanie Harrison, Rahima Nenshi, Jessica Bogach, John Harlock, Margherita Cadeddu, Shawn Forbes, Shariq Haider, Reza D Mirza, Sunita Narang, Clare J Reade, Daniel M Tushinski, Amit Raut, Samir Raza, Ted Scott, Anthony Adili, Jeremy Petch, PJ Devereaux

“…ResultsStudy recruitment and follow-up are completed, and analysis of the study results is underway. …”
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Correction: “Impact of Virtual Care With Remote Automated Monitoring on the Rate of Acute Hospital Care Post Discharge and Index Length of Hospital Stay: Protocol for the Post Disc... by Sandra Ofori, Michael H McGillion, Flavia K Borges, Carley Ouellette, Ameen Patel, David Conen, Maura Marcucci, Michael Ke Wang, Lily Jaeyoung Park, Conor Bell, Jennifer Lounsbury, Kanae Nagatani, Vikas Tandon, Trevor J Wilkieson, Ahraaz Wyne, Valerie Harvey, Stephanie Harrison, Rahima Nenshi, Jessica Bogach, John Harlock, Margherita Cadeddu, Shawn Forbes, Shariq Haider, Reza D Mirza, Sunita Narang, Clare J Reade, Daniel M Tushinski, Amit Raut, Samir Raza, Ted Scott, Anthony Adili, Jeremy Petch, PJ Devereaux

“…Nurses will escalate care to a preassigned and available perioperative care physician if predetermined vital sign thresholds are exceeded, concerning symptoms arise, or a medication error is detected. These physicians manage the issues and add or modify treatments as needed. …”
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Surface distributions and vertical profiles of trace gases (CO, O₃, NO, NO₂) in the Arctic wintertime boundary layer using low-cost sensors during ALPACA-2022 by B. Barret, P. Medina, N. Brett, R. Pohorsky, K. S. Law, S. Bekki, G. J. Fochesatto, J. Schmale, S. R. Arnold, A. Baccarini, M. Busetto, M. Cesler-Maloney, B. D'Anna, S. Decesari, J. Mao, G. Pappaccogli, J. Savarino, F. Scoto, W. R. Simpson

“…The Pearson correlation coefficient <span class="inline-formula"><i>R</i></span> is 0.82, and the slope of the linear regression between MICROMEGAS and reference data is 1.12. The mean bias is not significant, but the root mean square error (290 ppbv, parts per billion by volume) is rather large because of CO concentrations reaching several ppmv (parts per million by volume) in downtown Fairbanks. …”
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Habitat Characteristics and the Species Response of Astragalus curvirostris Boiss. to the Environmental Factors in Lorestan Rangelands by Reza Siahmansour, Nadia Kamali, Hamid Reza Mirdavoodi, Javad Motamedi

“…Extended Abstract IntroductionTo analyze complex ecological data, it is necessary to employ flexible and robust analytical methods that can handle non-linear relationships, interactions, and missing data control. …”
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Multi-Band Differential SAR Interferometry for Snow Water Equivalent Retrieval over Alpine Mountains by Fabio Bovenga, Antonella Belmonte, Alberto Refice, Ilenia Argentiero

“…Additionally, sensitivity maps were generated for each interferometric pair to identify pixels suitable for reliable SWE estimation. A comparative analysis of the C- and L-band results revealed several critical issues, including significant atmospheric artifacts, phase decorrelation, and phase unwrapping errors, which impact SWE retrieval accuracy. …”
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A splendid banana enigma: Phylogenomic assessment of Vietnamese Musa splendida and Musa viridis populations shows that they are conspecific. by Yves Bawin, Arne Mertens, Sander de Backer, Dang Toan Vu, Loan Thi Le, Tuong Dang Vu, Steven B Janssens

“…The use of high-throughput sequencing data alongside morphological data in taxonomic studies may substantially improve the accuracy of taxonomic assessments. …”
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ANALISIS SISTEM PENGGAJIAN KARYAWAN PERUMDA LT KABUPATEN MAGETAN by Yurisa Dwi Aprilia Ningtias, Stely Aulia Trifananta, Elana Era Yusdita

“… The research was conducted with the aim of analyzing the employee payroll system at Perumda LT Magetan Regency. The data analysis technique in this research uses descriptive qualitative methods. …”
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Presenting the conceptual model of organizational democracy with an emphasis on the development of employees' psychological capital by Sattar jahantabi neghad, Foad Makvandi, ezat allah Kiani, ghanbar Amirnegad, Vahid Chenari

“…The total number of the statistical population under study is equal to 100,000 people, out of which 200 people were selected from all the employees of the National Iranian Oil Company, and the questionnaire was provided to these people in the form of a link and in person and online (Pressline website). Analysis of the obtained data was done using SPSS and Smart Pls software. …”
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Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages by Izzet Turkalp Akbasli, Ahmet Ziya Birbilen, Ozlem Teksam

“…Abstract Background The integration of big data and artificial intelligence (AI) in healthcare, particularly through the analysis of electronic health records (EHR), presents significant opportunities for improving diagnostic accuracy and patient outcomes. …”
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Current Status and Predictors of Patient Safety Culture in Hospitals of Qassim Region, Saudi Arabia by Ayed AlReshidi, Majeda Farajat, Tarek Ibrahim, Abdulaziz Alresheedi, Aliaa Elnefiely, Faisal Alforaih

“…The data were analyzed using descriptive statistics, Chi-square test (χ2), analysis of variance, and linear regression analysis. …”
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Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

“…The study period spans from 2010 to 2020, and the quantile regression method is employed on panel data to conduct the analysis. Methodology The general definition of quantile regression states that if the linear regression model is assumed as the following equation, we have: yi=ˊxiβτ+uτi.  0<τ<1                                                                                 (1) Quantτ(yi|xi)=xiβτ                                                                                  (2) Equation (2) shows the τth conditional quantile function of the y distribution under the condition of random variables x in which the following condition holds: Quantτ(uτi|xi)=0                                                                                              (3) In the quantile regression structure, the effect of observable features on the conditional distribution is estimated through the process of minimizing the absolute value of the error element. …”
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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…By integrating public data with DL technology, this study lays the foundation for the practical application of sports data analysis and prediction models, holding significant theoretical and practical value. …”
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