Drone methods and educational resources for plant science and agriculture by Travis A. Parker, Burcu Celebioglu, Mark Watson, Paul Gepts

“…Methods can be flexibly combined to extract data related to canopy temperature, area, height, volume, vegetation indices, and summary statistics derived from complex segmentations and classifications including using methods based on artificial intelligence (AI), computer vision, and machine learning. …”
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Digital Future of Emergency Medical Services: Envisioning and Usability of Electronic Patient Care Report System by Samer Al Haliq, Mohammed Al Jumaan

“…An adapted tool of the Computer System Usability Questionnaire survey was used to collect data. The data were coded numerically and subjected to descriptive and inferential statistical analysis including Pearson’s correlation coefficient using the statistical software (SPSS 21). …”
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The application of artificial intelligence algorithms for testing the correlation between the state of oral health and adolescent behavior concerning oral health by Gajić Milica, Lalić Maja, Kalevski Katarina, Lazić Emira, Pavlović Maja, Ivanović Mirjana, Milić Jasmina, Matijević Dušanka, Vojinović Jovan

“…We applied a special programming language called Python for parsing data, creating a database in digital form, processing data by standard statistical methods and through the Singular Value Decomposition (SVD) method. …”
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PHARMACOEPIDEMIOLOGY OF ORIGINAL DROTAVERINE USE IN DYSMENORRHEA: RESULTS OF AN INTERNATIONAL MULTICENTER STUDY by A. L. Unanyan, V. A. Alimov, S. E. Arakelov, M. S. Afanasyev, D. V. Baburin, D. V. Blinov, T. D. Guriyev, U. V. Zimovina, A. E. Kadyrova, Yu. M. Kossovich, L. S. Polonskaya

“…Compared to the first evaluation, a statistical difference was observed in patients suffering from dysmenorrhea (p<0.0001). …”
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A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets. by Tianshu Li, Giancarlo La Camera

“…However, training an HMM on cortical data requires a careful handling of model selection, since models with more numerous hidden states generally have a higher likelihood on new (unseen) data. …”
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Challenges and opportunities in establishing an Health Examination Survey by Chiara Donfrancesco, Luigi Palmieri, Cinzia Lo Noce, Diego Vanuzzo, Simona Giampaoli

“…In Italy, the last 30 years witnessed the implementation of cross-sectional surveys providing baseline data on numerous risk factors collected from random samples of the adult general population. …”
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The use of information and communication technologies to promote healthy lifestyle behaviour: a systematic scoping review by Elizabeth Musili Joseph-Shehu, Busisiwe Purity Ncama, Nomaxabiso Mooi, Tivani Phosa Mashamba-Thompson

“…Studies focusing on diseases or disease management and studies that combine monitoring tools in the form of hardware (accelerometer or pedometer) with ICT or computer games were excluded. Data were summarised numerically and thematically.Results All the studies reviewed were conducted in developed countries. …”
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A retrospective analysis of 6942 amniocentesis cases by Qingsha An, Yuxiao Huang, Feifei Yu, Yilun Tao, Juan Li, Xiaoze Li

“…Of these, 38 samples (0.55%) with completely lost data were excluded. Samples with partially missing data were retained, including 18 cases (0.26%) lacking maternal age information, 23 cases (0.33%) missing gestational age data, and 8 cases (0.12%) without documented indications for prenatal diagnosis. …”
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Impact of NWP Model Configuration and Training Sample Characteristics on Random Forest‐Based Day‐1 Convective Outlook Guidance by Aaron Johnson, Xuguang Wang

“…It is found for most predictands that the RF models forecasting 2022 (2019/2021) cases are statistically significantly more skillful when trained on other cases from the 2022 (2019/2021) data set using a leave‐one‐out approach. …”
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Introducing multiple factor analysis (MFA) as a diagnostic taxonomic tool complementing principal component analysis (PCA) by L. Lee Grismer

“…If more than one data type is used in a PCA, the output may be biased by the data type with the largest amount of variation or statistical variance. …”
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Noninvasive assessment of the fractional reserve of coronary blood flow with a one-dimensional mathematical model. Preliminary results of the pilot study by D. G. Gognieva, T. M. Gamilov, R. A. Pryamonosov, Yu. V. Vasilevsky, S. S. Simakov, F. Liang, S. K. Ternovoy, N. S. Serova, E. S. Tebenkova, E. A. Sinitsyn, E. S. Pershina, S. A. Abugov, G. V. Mardanyan, N. V. Zakryan, V. R. Kirakosyan, V. B. Betelin, Yu. O. Mitina, A. Yu. Gubina, D. Yu. Shchekochikhin, A. L. Syrkin, F. Yu. Kopylov

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Comparative Analysis of Preferences and Willingness to Pay for COVID‐19 Vaccine Among Individuals With and Without Chronic Diseases: A Discrete Choice Experiment Approach by Afroza Begum, Md. Azhar Uddin, Syed M. Ahsan, Md. Ahsanul Islam

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Prevalence and risk factors of diarrhea among under-five children in Ethiopia: A systematic review and meta-analysis by Aboma Motuma, Sina Temesgen Tolera, Fekade Ketema Alemu, Dechasa Adare, Roba Argaw, Abdi Birhanu, Kasiye Shiferaw, Gari Hunduma, Shiferaw Letta, Shibiru Temesgen, Desalegn Admassu Ayana

“…Articles from the last ten (10) years ranged from 2015 to mid-2024 were included. Using a common data extraction format, three authors extracted all required data. …”
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Booms and Busts in Chinese Agricultural Markets: An Agent-Based Model by Yu Zhang, Xinyi Deng

“…Then, parameters are estimated by the simulated method of moments using garlic and ginger price data in China from 2006Q2 to 2018Q3. The estimation yields a statistically significant speculative behavior parameter, supporting speculators’ existence. …”
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Structural damage, clogging, collapsing: Analysis of the bridge damage at the rivers Ahr, Inde and Vicht caused by the flood of 2021 by Lisa Burghardt, Elena‐Maria Klopries, Holger Schüttrumpf

“…First, locations and damages of bridges along the rivers Inde, Vicht and Ahr were mapped. Based on these data, statistical correlations among the damage patterns were analyzed. …”
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Eradication of Helicobacter pylori for prevention of aspirin-associated peptic ulcer bleeding in adults over 65 years: the HEAT RCT by CJ Hawkey, Anthony J Avery, Carol AC Coupland, Colin J Crooks, Jennifer S Dumbleton, FD Richard Hobbs, Denise Kendrick, Michael Moore, Clive Morris, Gregory Rubin, Murray Smith, Diane Stevenson

“…Follow-up Outcomes were ascertained from electronic general practice records, Hospital Episode Statistics (HES) and Office for National Statistics mortality data. …”
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Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation by Rashad Saeed, Azhar Rauf, Fahmi H. Quradaa, Syed Muhammad Asim

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Evaluating an early Interdisciplinary Multimodal Assessment for Patients at Risk of Developing Chronic Pain: Results of a Multicentre RCT in Germany by Daniel Szczotkowski, Sandra Meyer-Moock, Thomas Kohlmann, Karin Deppe, Anne Gärtner, Greta Hoffmann, Thomas Isenberg, Gabriele Lindena, Ursula Marschall, Carolin Martin, Beatrice Metz-Oster, Lena Milch, André Möller, Bernd Nagel, Frank Petzke, Anke Preissler, Julia Pritzke-Michael, Leonie Schouten, Katja Schwenk, Catharina Schumacher, Anja Waidner, Ulrike Kaiser

“…However, the differences between the two groups did not reach statistical significance, although there was a tendency for the IG to have a greater effect on some psychological outcomes. …”
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Non-invasive fractional flow reserve: a comparison of one-dimensional and three-dimensional mathematical modeling effectiveness by D. G. Gognieva, E. S. Pershina, Yu. O. Mitina, T. M. Gamilov, R. A. Pryamonosov, N. A. Gogiberidze, A. N. Rozhkov, Yu. V. Vasilevsky, S. S. Simakov, F. Liang, V. E. Sinitsyn, V. B. Betelin, D. Yu. Schekochikhin, A. L. Syrkin, F. Yu. Kopylov

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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…Due to long-term exposure to complex and variable environmental conditions, concrete dam's structural safety faces numerous challenges. Traditional statistical methods based on hydrostatic-season-time (HST) theory, while having clear physical meanings and being easy to implement, are limited by their inherent linear assumptions, resulting in constrained prediction accuracy. …”
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