Significance of the ARIMA epidemiological modeling to predict the rate of HIV and AIDS in the Kumba Health District of Cameroon by Arrey Emmanuel Besong, Odette Dzemo Kibu, Odette Dzemo Kibu, Odette Dzemo Kibu, Odette Dzemo Kibu, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Besong Agbor Obinkem, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Fabrice Chethkwo, Valentine Ndze Ngum, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Nkweteyim Denis, Nkweteyim Denis, Nkweteyim Denis, Nkweteyim Denis, Onduo Moise, Onduo Moise, Onduo Moise, Onduo Moise, Ayana Gelan, Ayana Gelan, Ayana Gelan, Ayana Gelan, Jude Dzevela Kong, Jude Dzevela Kong, Jude Dzevela Kong, Dickson Shey Nsagha, Dickson Shey Nsagha, Dickson Shey Nsagha, Dickson Shey Nsagha

“…Putting these values together, we had the ARIMA model (1,0,0) which predicted an overall increase in HIV incidence cases at the Kumba District Hospital for the upcoming Years (2023–2026).InterpretationThe ARIMA model was found to be independent of errors and a perfect fit, with a high R-squared value of 0.764 and a p-value of 0.410, indicating that the model’s predictions aligned well with the observed data. …”
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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…This study used a didactical design research (DDR) framework consisting of three stages: prospective analysis, metapedadidactic analysis, and retrospective analysis. …”
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Instances of erroneous DNA barcoding of metazoan invertebrates: Are universal cox1 gene primers too "universal"? by Monika Mioduchowska, Michał Jan Czyż, Bartłomiej Gołdyn, Jarosław Kur, Jerzy Sell

“…Although the responsibility for the correct molecular identification of species rests on researchers, the errors found in already published sequences data have not been re-evaluated so far. …”
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Application of shale oil 2D NMR logging evaluation in Huazhuang area of Gaoyou Sag by ZHANG Fei, LI Qiuzheng, JIANG Aming, DENG Ci

“…When compared to core analysis, the average absolute errors for effective porosity and oil saturation are minimal, at 0.4% and 7.3%, respectively. …”
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Digital Pathology for Analyzing Endomyocardial Biopsy Specimens by A. A. Slavinskiy, A. A. Verevkin, L. M. Chuprinenko, V. L. Drushevskaya, M. V. Kristesiashvili

“…Introduction: Visual assessment of endomyocardial biopsy (EMB) specimens may result in errors due to the human factor and inability to obtain quantitative data on the intensity of immunohistochemical (IHC) reactions and severity of pathological changes in the heart transplant. …”
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Student performance study: the outcomes of metabolic, molecular and physical-chemical characterization of intestinal tract microbiome on a four mammalian species model by Nataša CIBER, Tina ZUPANČIČ, Tamara ZORAN, Katarina ŠIMUNOVIĆ, Anja PUGELJ, Bojan PAPIĆ, Nika KLINEC, Andreja GAZVODA, Benjamin DRAKSLAR, Mateja DOLENC, Blaž STRES

“…Since the methodological approaches proved to be the largest source of systematic errors in comparisons of microbial communities among different organisms of the same species or between different species, we tested a number of methods on samples from different species of mammals in order to verify the feasibility of this approach for future routine analysis of microbiomes:(i) analyses of physical-chemical parameters;(ii)the metabolic properties of attached, planktonic fractions in comparison to the total;(iii)structure of microbial communities of bacteria and archaea; (iv)data analysis. …”
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Bayesian Dynamic Linear Model with Adaptive Parameter Estimation for Short-Term Travel Speed Prediction by Tai-Yu Ma, Yoann Pigné

“…Bayesian dynamic linear model is a promising method for time series data analysis and short-term forecasting. One research issue concerns how the predictive model adapts to changes in the system, especially when shocks impact system behavior. …”
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Application of Deep Learning to the Classification of Stokes Profiles: From the Quiet Sun to Sunspots by Ryan J. Campbell, M. Mathioudakis, Carlos Quintero Noda, P. H. Keys, D. Orozco Suárez

“…We also present the first statistical analysis of quiet Sun DKIST/ViSP data using inversions and our supervised classifier. …”
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Regression models for the prediction of the influence of magnesium ions on primary endothelial cell (HUVEC) proliferation and migration by Heike Helmholz, Redon Resuli, Marius Tacke, Jalil Nourisa, Sven Tomforde, Roland Aydin, Regine Willumeit-Römer, Berit Zeller-Plumhoff

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Phase I Pharmacokinetics Study of Oral Administration of Esperavir® (INN: Molnupiravir) (LLC "PROMOMED RUS", Russia) by T. N. Komarov, N. S. Bagaeva, K. K. Karnakova, K. Ya. Zaslavskaya, P. A. Bely, I. E. Shohin

“…The comparability of the obtained data and the available literature data was shown. …”
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Static pressure prediction method for CO2 flooding oil reservoirs based on time series partitioning Transformer model by LI Chunlei, YANG Heshan, ZHANG Hongxia, CAO Yumin, JIANG Xingxing, JIN Caixia

“…Static pressures are estimated with empirical methods based on dynamic pressure data during the production process； however， data errors are significant. …”
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STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement. by Julian Little, Julian P T Higgins, John P A Ioannidis, David Moher, France Gagnon, Erik von Elm, Muin J Khoury, Barbara Cohen, George Davey-Smith, Jeremy Grimshaw, Paul Scheet, Marta Gwinn, Robin E Williamson, Guang Yong Zou, Kim Hutchings, Candice Y Johnson, Valerie Tait, Miriam Wiens, Jean Golding, Cornelia van Duijn, John McLaughlin, Andrew Paterson, George Wells, Isabel Fortier, Matthew Freedman, Maja Zecevic, Richard King, Claire Infante-Rivard, Alex Stewart, Nick Birkett, STrengthening the REporting of Genetic Association Studies

“…The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. …”
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形态-奇异值分解降噪与LMD结合的滚动轴承故障诊断 by 王志武, 孙虎儿, 刘维雄

“…On the basis of the theory of local mean decomposition（LMD）,the influence of random noises and local strong disturbances embedded in signal on LMD results is analyzed.A novel integrated morphology-singular value decomposition filter-LMD of bearing fault diagnosis method is presented.In the method,the mathematical morphology transform combining with singular value decomposition is taken as the pre-filter process unit in order to reduce the unnecessary decomposition levels and boundary accumulated errors caused by local stronger disturbances.The process of this method is described in detail using a simulated signal analysis example.Moreover,the method is applied in the signal processing of the actual bearing fault data and the results verify its practicality and validity.…”
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PARAMETRIC STATISTICAL SIGNIFICANCE OF LEAD (II) IONS ADSORPTION BY RICE HUSK IN AQUEOUS SOLUTIONS by BABATOPE OLUFEMI, SALAUDEEN HUSSEIN, ALABI HABEEB

“…The Langmuir and Dubinin-Radushkevic isotherm models best fitted the sorption data, with R2 values of 0.995 and 0.9956 and standard errors of regression of 1.8209 and 0.0298, respectively. …”
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Ultra-long period cepheids: observations, theory, and use as standard candles by Ilaria Musella

“…In addition, the potential of the upcoming Rubin LSST survey to enhance the sample with high-quality data is investigated.…”
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The relationship between shift work, circadian rhythms, and cognitive function in ICU nursing by Saeideh Moosavi, Mehran Ghalenoei, Mohammad Amerzadeh, Ali Safari Variani

“…The Kolmogorov-Smirnov test was used to determine the normality of the data. The data analysis involved analytical statistics using mixed-effects models performed using R software version 4. …”
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Statistical inference and applications of a new transforming weibull distribution by Xingbei Li, Qin Gong, Tingting Chen

“…To evaluate the performance of the estimation methods, we used Monte Carlo simulation to obtain the average parameter estimates under various estimation methods, and measured the accuracy of the estimation using mean square errors and mean biases. The applicability and effectiveness of the transformed Weibull distribution in practical data analysis have been confirmed by applying it to two real datasets.…”
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Enhanced turbomachinery capabilities for OpenFOAM: Validation and integration of a CAD solution and mixing-plane by Lorenz Hammerschmidt, Zlatko Raonic

“…The framework is validated using the Sundstrand Power Systems T-100 radial turbine as a benchmark, comparing geometry and simulation results with ANSYS BladeGen, ANSYS CFX, and experimental data. Results demonstrate strong agreement in geometry and performance metrics, with efficiency deviations below 2% and mass flow errors under 1%, confirming the viability of the framework as an open-source alternative to commercial CAE pipelines. …”
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Point Transformer Network-Based Surrogate Model for Spatial Prediction in Bridges by Javier Grandío, Brais Barros, Manuel Cabaleiro, Belén Riveiro

“…Our results show that the model achieves mean absolute errors below 0.0213 mm, drastically reducing the time required for structural analysis.…”
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Prediction of Weld Geometry in Laser Overlap Welding of Low-Carbon Galvanized Steel by Kamel Oussaid, Narges Omidi, Abderrazak El Ouafi, Noureddine Barka

“…Results demonstrated a strong correlation between ANN predictions and experimental measurements, with R² values exceeding 95% for WS and DOP and 92% for WI, and mean errors below 7%. A comparative analysis between ANN, FEM, and experimental data confirmed the model’s reliability across different welding conditions. …”
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