Eye on Music Reading: A Methodological Review of Studies from 1994 to 2017 by Marjaana Puurtinen

“…We review and discuss choices of musical stimuli, the conditions under which these were performed (i.e. control of performance tempo and music-reading protocols), performer’s level of musical expertise, and handling of performance errors and eye-movement data. We propose that despite a lack of methodological coherence in research to date, careful reflection on earlier methodological choices can help in formulating future research questions and in positioning new work. …”
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Stealth Democracy: Authoritarianism and Democratic Deliberation by Peter Muhlberger

“…Using confirmatory factor analysis and OLS regression with cluster-robust standard errors, the paper finds that authoritarianism and related orientations strongly explain stealth democracy beliefs among deliberation participants and that deliberation significantly reduces stealth democracy beliefs and factors behind these beliefs.…”
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LightGBM hybrid model based DEM correction for forested areas. by Qinghua Li, Dong Wang, Fengying Liu, Jiachen Yu, Zheng Jia

“…The accuracy of digital elevation models (DEMs) in forested areas plays a crucial role in canopy height monitoring and ecological sensitivity analysis. Despite extensive research on DEMs in recent years, significant errors still exist in forested areas due to factors such as canopy occlusion, terrain complexity, and limited penetration, posing challenges for subsequent analyses based on DEMs. …”
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Problem of Ametropia in Children in Russian Federation by El Yu. Markova, L. Yu. Bezmel’nitsyna, O. V. Kurganova, N. A. Pron’ko, L. V. Venediktova

“…According to the results of clinical and economic analysis, uncorrected refractive errors in children are characterized by a high level of economic and social burden of disease (the older the age of ametropia diagnosis caused increase of direct medical and non-medical costs). …”
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Predicting disinfection by-products (DBPs) in supply water within a real water distribution network using an artificial neural network by F. Khan, M.F.R. Zuthi, M.S. Rahman, M.A. Akbor, M.D. Hossain, M.N.I. Bhuiyan

“…Furthermore, the findings indicate that the prediction capability of the model improves as the volume of data increases. Performance analysis revealed that using all nine input parameters together resulted in the most accurate predictions of TTHM concentrations. …”
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Replication of a GWAS signal near HLA-DQA2 with AML using a disease-only cohort and external population-based controls by Rose Laflamme, Véronique Lisi, Josée Hébert, Guy Sauvageau, Sébastien Lemieux, Vincent-Philippe Lavallée, Guillaume Lettre

“…We showed, using data reduction methods (eg, principal component analysis and uniform manifold approximation and projection), that our approach successfully integrated the Leucegene and CaG genetic data. …”
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Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries by Aya Haraz, Khalid Abualsaud, Ahmed M. Massoud

“…For the data generation phase, first, features are extracted from a control-oriented electro-thermal coupling model, offering a computationally efficient alternative to resource-intensive experiments and avoiding a lack of data. …”
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QUANTIFYING INTERSPECIFIC COMPETITION BETWEEN CANCER AND NORMAL CELLS USING USING NONLINEAR MIXED EFFECTS AND ORDINARY DIFFERENTIAL EQUATION MODELING by Letícia Fernanda Alves, Mauro César Cafundó Morais, João Frederico Costa Azevedo Meyer, Diego Samuel Rodrigues

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Machine Learning-Driven Rapid Flood Mapping for Tropical Storm Imelda Using Sentinel-1 SAR Imagery by Reda Amer

“…The spatial distribution of flooding was strongly influenced by topography and land cover. Analysis of Shuttle Radar Topography Mission (SRTM) digital elevation data revealed that low-lying, flat terrain was most vulnerable to inundation; correspondingly, the land cover types most affected were hay/pasture, cultivated land, and emergent wetlands. …”
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Specificity of the STAT4 genetic association for severe disease manifestations of systemic lupus erythematosus. by Kimberly E Taylor, Elaine F Remmers, Annette T Lee, Ward A Ortmann, Robert M Plenge, Chao Tian, Sharon A Chung, Joanne Nititham, Geoffrey Hom, Amy H Kao, F Yesim Demirci, M Ilyas Kamboh, Michelle Petri, Susan Manzi, Daniel L Kastner, Michael F Seldin, Peter K Gregersen, Timothy W Behrens, Lindsey A Criswell

“…To prevent possible type-I errors from population stratification, we reanalyzed the data using a subset of subjects determined to be most homogeneous based on principal components analysis of genome-wide data. …”
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Factors affecting utilisation of traditional Korean medical services by privately insured persons: a retrospective study using Korean Health Panel Survey (KHPS) by Jinho Lee, In-Hyuk Ha, Boyoung Jung, Juchul Kim

“…We used multiple linear regression analysis to identify determinants of TKM while controlling for clustered errors.Results Approximately 6.1% (1874) of all doctor visits (30 982) were characterised as TKM services. …”
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Classification-based point cloud denoising and 3D reconstruction of roadways by Denghong CHEN, Ning PANG, Wen NIE, Juqiang FENG, Jiliang KAN, Jinjing ZHANG

“…This algorithm delivered adaptive optimization performance, yielding types Ⅰ and Ⅱ errors of 1.54 % and 5.37 %, respectively. Therefore, it can effectively remove large-scale, small-scale, and repetitive noise while preserving the features of main point cloud data. …”
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Automatic detection of doors and windows using point clouds in the context of as-built BIM by S. Boudarbala, S. Boudarbala, R. Hajji, C. Gourguechon, H. Macher, T. Landes

“…The automation of 3D modelling from point clouds has emerged as a highly intriguing research area, offering significant potential value in the context of scan-to-BIM (Building Information Modelling) process. 3D modelling from point clouds is often performed manually, which is time-consuming and prone to errors. Most methodologies employed for the processing of building point clouds data rely on geometric information to extract objects, thereby ignoring radiometric information, which could provide a highly valuable addition to object detection. …”
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A Speed-Invariant Template-Based Approach for Estimating Running Temporal Parameters Using Inertial Sensors by Rachele Rossanigo, Marco Caruso, Elena Dipalma, Cristine Agresta, Lucia Ventura, Franca Deriu, Andrea Manca, Taian M. Vieira, Valentina Camomilla, Andrea Cereatti

“…Segmentation of running data into gait cycles and stance/swing phases is crucial for evaluating running biomechanics. …”
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Generative artificial intelligence and machine learning methods to screen social media content by Kellen Sharp, Rachel R. Ouellette, Rujula Singh Rajendra Singh, Elise E. DeVito, Neil Kamdar, Amanda de la Noval, Dhiraj Murthy, Grace Kong

“…Next, we used the OpenCV library to extract frames from the videos, followed by object and text detection analysis using Oracle Cloud Vision. Finally, we merged all text data to create a consolidated dataset and entered this dataset into ChatGPT-4 to determine which posts are related to vaping and pregnancy. …”
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Approach to automating viral genome assembly by Ms Anastasiia Paremskaia, Dr Andrei Deviatkin, Dr Pavel Volchkov

“…At the same time the initial analysis of these data currently is not routine procedure and requires substantial computational resources to process and interpret the vast amounts of data generated. …”
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The Mediating Effect of Accounting Information Quality on the Relationship Between Workforce Education Level and Investment Efficiency by Ayat Naji Mahdi Al-Obaidi, Pari Chalaki, Mehdi Heidari

“…The sample comprises 141 firms listed on the Tehran Stock Exchange from 2009 to 2023. Data analysis was performed using Stata (version 17) and EViews (version 13) software. …”
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Design and Validation of Low-Cost, Portable Impedance Analyzer System for Biopotential Electrode Evaluation and Skin/Electrode Impedance Measurement by Jaydeep Panchal, Moon Inder Singh, Mandeep Singh, Karmjit Singh Sandha

“…In contrast with conventional systems that depend on external PCs or host devices for data acquisition, visualization, and analysis, this design integrates all functionalities into a single, compact platform powered by the Analog Devices AD5933 impedance converter and a Raspberry Pi 4. …”
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Pedagogical risk factors for functional state disorders of the musculoskeletal system in young track and field athletes (running, long jump) by A. Matishev, S. Loktev, A. Pogrebuoy, S. Chernukha

“…Materials and methods: following activities were performed: analysis of 10 training programs used across Russia for young track and field athletes in terms of physiological, biomechanical and pedagogical content; study of results from questionnaire survey conducted among coaches of young track and field athletes; interpretation of the data obtained with the aim to identify key pedagogical risk factors resulting in physiological and biomechanical preconditions for chronic and acute injuries of musculoskeletal system in young track and field athletes. …”
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Features of project activity in professional education by Yury Pavlovich Vetrov

“…Main difficulties and mistakes in the implementation of students' project activities in the educational process of vocational education institutions have been presented on the basis of the analysis of theoretical data. The author defines the conditions under which the organization of students' project activities in the educational process of vocational education organizations will be the most optimal. …”
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