Assessing Dynamic Cognitive Function in the Daily Lives of Youths With and Without Type 1 Diabetes: Usability Study by Mary Katherine Ray, Jorie Fleming, Andrew Aschenbrenner, Jason Hassenstab, Brooke Redwine, Carissa Burns, Ana Maria Arbelaez, Mary Ellen Vajravelu, Tamara Hershey

“…Further, we assessed CGM-derived glucose measures at temporally related timeframes to cognitive testing in naturalistic settings. MethodsData were obtained from 3 studies including one in-laboratory study and 2 remote studies. …”
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Decomposition Dynamics of Leaf Litter Mixtures Enriched with NPS Fertilizer and Resultant Effects on Common Bean Productivity in Nutrient Depleted Soil by Fanuel Laekemariam, Ermias Elka

“…The mixtures of croton (Croton macrostachyus) and erythrina (Erythrina brucei) leaf litters (LLs) were placed at 20 cm depth in a litterbag at a rate equivalent to 2.5 and 5 t/ha, and treated with four NPS rates (0, 50, 100, and 150 kg/ha). …”
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DYNAMICS OF MISCARRIAGE AMONG THE FEMALE POPULATION OF FERTILE AGE IN UKRAINE AND IN LVIV REGION IN 2014-2021 by Nataliia Timchenko, Taras Gutor

“…The research aims at rationalizing of the epidemiological component in the process of developing a model for preventing miscarriage among the female population of Ukraine. …”
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On the autocorrelation of measurement results for gas volume and calorific value in fiscal metering in gas grids by Gugole Federica, Li Meng, van der Veen Adriaan M. H.

“…We analysed the correlation between successive measurements due to temporal variations in the physical process by applying autoregressive moving average (ARMA) models to a set of measurement data taken at a metering station in the Dutch gas grid. …”
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Numerical simulation of the ice sphere impact onto the barrier by E.G. Glazova, S.V. Krylov, D.T. Chekmarev

“…The verification of modified software was carried out by comparing the known experimental data with the results of numerical calculations of the processes of impact interaction of ice products with hard barriers. …”
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Prediction of properties of electroless nickel plating with diamond powder based on artificial neural network by Lili FANG, Han LIU, Yufei JIANG

“…Data on the influences of process parameters, such as diamond particle size, sodium hypophosphite concentration, plating solution temperature, and plating solution pH on coating performance were used as the training set. …”
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PERFORMANCE OF THE ACCURACY OF FORECASTING THE CONSUMER PRICE INDEX USING THE GARCH AND ANN METHODS by Dian Kurniasari, Zaenal Mukhlisin, Wamiliana Wamiliana, Warsono Warsono

“…The CPI data used has a data pattern containing symptoms of heteroskedasticity. …”
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The dynamic relationship between enjoyment and anxiety in monologue communication tasks of Arab female EFL undergraduate students: an idiodynamic approach by Muneera Muftah, Albatool Ahmad Alhazmi

“…The emotions of anxiety and enjoyment were analyzed through triangulation of ratings, prompted recall interviews, and performance data. …”
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An analysis of the real world performance of an artificial intelligence based autism diagnostic by Carmela Salomon, Kelianne Heinz, Judith Aronson-Ramos, Dennis P. Wall

“…Streamlining the diagnostic process could reduce wait times and optimize use of limited specialist resources. …”
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A digital and nurse-led support intervention, first year after prostate cancer treatment: a single-arm feasibility study in a Swedish primary care setting by Nazmije Kelmendi, Ann Langius-Eklöf, Marina Taloyan, Kay Sundberg, Åsa Craftman, Marie Nilsson

“…Feasibility was assessed by examining the recruitment process, retention rate, adherence to the reporting of symptoms in the app, and acceptability of the intervention. …”
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A self-management intervention for newly diagnosed with inflammatory arthritis: a randomized controlled feasibility and fidelity study by Luise Holberg Lindgren, Tanja Thomsen, Merete Lund Hetland, Mette Aadahl, Sara Danshøj Kristensen, Annette de Thurah, Bente Appel Esbensen

“…Feasibility was evaluated based on the recruitment, data collection, retention, and randomization processes. …”
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The global burden of aortic aneurysm attributable to hypertension from 1990 to 2021: Current trends and projections for 2050. by Guanghui Yu, Pei Chen, Changhao Sun, Peng Liu

“…<h4>Methods</h4>This study extracted data on mortality, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) associated with AA attributable to hypertension from the 2021 GBD study. …”
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Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity by Nasser Shoeibi, Majid Abrishami, Seyedeh Maryam Hosseini, Mohammad-Reza Ansari-Astaneh, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Mojtaba Abrishami, Mehdi Sakhaee, Mehrdad Motamed Shariati

“…Abstract Background This study aims to design and evaluate various supervised machine-learning models for identifying premature infants who require treatment based on demographic data and clinical findings from screening examinations. …”
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Gamma-Ray Effects of Dark Forces in Dark Matter Clumps by K. Belotsky, M. Khlopov, A. Kirillov

“…We discuss a possibility to put constraints on such dark forces of dark matter from the observational data on the gamma radiation in our Galaxy. Gamma-rays are supposed to originate from annihilation of DM particles in the small scale clumps, in which annihilation rate is supposed to be enhanced, besides higher density, due to smaller relative velocities v of DM particles. …”
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Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology by İsmail Hakkı Cedimoğlu, Berkay Dağtaş

“…Fundamental performance parameters of Wi-Fi networks such as signal strength, signal-to-noise ratio (SNR), data rate, and channel interference were evaluated in detail in the study. …”
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Analysis the Degree of Development and Spatial Inequalities of Agricultural Sector in Kurdistan Province from 1996 to 2016 by Hosein Nazmfar, Anvar AmanoIapour

“…As it is clear, the rate of spatial inequality has declined in 2016 compared to 1996. …”
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LiDAR-Based Optimized Normal Distribution Transform Localization on 3-D Map for Autonomous Navigation by Abhishek Thakur, P. Rajalakshmi

“…However, LiDAR produces bulky data with hundreds of thousands of points in a frame, making it computationally expensive to process. …”
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Point cloud geometry compression based on the combination of interlayer residual and IRN concatenated residual by Meng Huang, Qian Xu, Wenxuan Xu

“…This paper deployed upsampling design after downsampled point cloud data. It calculates the residuals among point cloud data through downsampling and upsampling processes, consequently, maintains accuracy and reduces errors within the downsampling process. …”
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DIFFERENCE IN SIZE OF LEPROSY PEDIS ULCER INJURY BEFORE AND AFTER THERAPY AT LEPROSY HOSPITAL DONOREJO, JEPARA REGENCY by Pramesti Widya Kirana, Muslimin Muslimin, Teddy Wahyu Nugroho, Reni Yuniati

“…Data collected was processed descriptively covering general data such as age, sex, nutritional status, and special data including the patients’ risk factors (history of smoking, hygiene, wound size in centimeters (numerical data)). …”
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Comparing the Effectiveness of Deep Learning Approaches for Charging Time Prediction in Electric Vehicles: Kocaeli Example by Ayşe Tuğba Yapıcı, Nurettin Abut, Tarık Erfidan

“…Initially, an effort was made to ascertain which model type offers superior prediction accuracy, characterized by low error rates and high success scores. To this end, the study examined the prediction capabilities of the LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit), Prophet, and ARIMA (Autoregressive Integrated Moving Average) models, which were trained with historical data using various metrics. …”
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