The Influence of Selected Parameters of Recycled Polyvinyl Butyral on the Sustainable Filament Extrusion Process by Matúš Martiček, Rebeka Tauberová, Jakub Kaščak, Radoslav Vandžura, Enes Sukić, Lucia Knapčíková

“…As a result of identifying errors, optimizing the process, and eliminating the resulting shortcomings, a fiber made of PVB material with a diameter of 1.75 mm (±0.06 mm) was created that can be used in most FDM devices. …”
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Practical and Accurate Evaluation of Numerical Aperture and Beam Quality Factor in Photonic Crystal Fibers by Mechanical Learning by Mengda Wei, Meisong Liao, Liang Chen, Yinpeng Liu, Wen Hu, Lidong Wang, Dongyu He, Tianxing Wang, Shizi Yu, Weiqing Gao

“…Moreover, when the noise factor remains below 0.32, the model's prediction error shows minimal fluctuation, highlighting its robustness. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…Machine learning models have improved workflow efficiency, reduced diagnostic errors, and enabled early identification of vascular pathology. …”
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Uncertainty Impact on Aggregator Performance for Peak Shaving by Ismail Arafat, Eduardo Castillo Guerra, Julian Meng

“…A metric for aggregator reserved capacity loss is introduced, giving insight to the detrimental effects of forecasting errors on peak shaving efficacy, encompassing performance, cost, and temporal implications. …”
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Clinical Features and Body Composition in Men with Hormone-Sensitive Metastatic Prostate Cancer: A Pilot Study Examining Differences by Race by Patricia M. Sheean, Paula O’Connor, Cara Joyce, Vasilios Vasilopoulos, Ami Badami, Melinda Stolley

“…Because of the potential for Type II errors in this pilot, future studies should seek to further evaluate the implications of body composition on outcomes. …”
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The Impact of Cloud Versus Local Infrastructure on Automatic IoT-Driven Hydroponic Systems by Cosmina-Mihaela Rosca, Adrian Stancu, Marian Popescu

“…The limitations of this research are associated with the exclusion of human errors and cybernetics simulations from the analysis. …”
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Do board characteristics matter in the relationship between intellectual capital efficiency and firm value? Evidence from the Nigerian oil and gas downstream sector by Ahmed Jinjiri Bala, Aminu Hassan, Muhammad Liman Muhammad

“…We analysed the data using Prais–Winsten regression with panel-corrected standard errors. Findings Overall, our results show no significant direct relationship between the modified value-added intellectual coefficient and our two measures of firm value (Tobin’s Q and Price Earnings Ratio (PER)). …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…The advancing framework also has implications for other process-based modeling improvement efforts.…”
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A mixed-method study on awareness, haemoglobin phenotype result accuracy and sickle cell knowledge among parents of children with sickle cell disease in ibadan, Nigeria by Adeniyi Abraham Adesola, David Mobolaji Akoki, Joshua Simpa Lawal, Abigail Olawumi Oyedokun, Oluwatomisin Esther Agboola, Anuoluwapo Agnes Babawale, Biobele Jotham Brown

“…Abstract Introduction Nigeria bears the highest global burden of sickle cell disease (SCD), with significant implications for public health infrastructure and healthcare delivery. …”
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Socioeconomic status and sleep duration among a representative, cross-sectional sample of US adults by Sarah Wetzel, Usama Bilal

“…Weighted Poisson regression models with robust standard errors were used to calculate the crude and adjusted prevalence ratios for insufficient sleep duration (< 7 h of self-reported sleep) on workdays and non-workdays separately by each of the three SES indicators. …”
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Appointment of Four Judges in Fāṭimid Egypt in 525/1131, A New Interpretation by İrfan İnce

“…Subsequently, I examine Allouche’s method of using the sources, highlight significant gaps and errors in his source analysis, and suggest revisions for his evaluation of the main questions he tried to answer.…”
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Unraveling the Scale Dependency of SIF-Based Phenology: Amplified Trends and Climate Responses by Xiufeng Chen, Yanbin Yuan, Tao Xiong, Sicong He, Heng Dong

“…Our results showed that the 1-km resolution SIF had a significant advantage over the 5-km and 50-km resolution SIFs in terms of consistency with the extracted phenology results from the Gross Primary Productivity (GPP) sites, with mean absolute errors (MAEs) of 4.48 and 15.49 days for SOS and EOS, respectively. …”
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…Additionally, the integration of SHAP analysis for feature importance ranking provides an interpretable machine learning approach to concrete mix design, which enhances decision-making for engineers and researchers. The practical implications of this research extend to sustainable machine learning-based concrete design, where AI-driven optimization can help reduce the reliance on conventional trial-and-error methods. …”
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Better statistical reporting does not lead to statistical rigour: lessons from two decades of pseudoreplication in mouse-model studies of neurological disorders by Constantinos Eleftheriou, Sarah Giachetti, Raven Hickson, Laura Kamnioti-Dumont, Robert Templaar, Alina Aaltonen, Eleni Tsoukala, Nawon Kim, Lysandra Fryer-Petridis, Chloe Henley, Ceren Erdem, Emma Wilson, Beatriz Maio, Jingjing Ye, Jessica C. Pierce, Kath Mazur, Lucia Landa-Navarro, Nina G. Petrović, Sarah Bendova, Hanan Woods, Manuela Rizzi, Vanesa Salazar-Sanchez, Natasha Anstey, Antonios Asiminas, Shinjini Basu, Sam A. Booker, Anjanette Harris, Sam Heyes, Adam Jackson, Alex Crocker-Buque, Aoife C. McMahon, Sally M. Till, Lasani S. Wijetunge, David JA Wyllie, Catherine M. Abbott, Timothy O’Leary, Peter C. Kind

“…We offer suggestions for how this can be remedied as well as quantifying the severity of this particular type of statistical error. Although the examined literature concerns a specific neuroscience-related area of research, the implications of pseudoreplication apply to all fields of empirical research.…”
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Investigating the biodiversity conservation capability of technological innovation and FinTech by Shayan Khan Kakar, Jing Wang, Noman Arshed, Tran Thi Le Hien, Nazir Muhammad Abdullahi

“…We provide the policy implications of our research.…”
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CXCR4 and CXCR6 dually limit T cell entry into the polyomavirus-infected brain by Kalynn M. Alexander, Elia Afanasiev, Arrienne B. Butic, Ge Jin, Mofida Abdelmageed, Anirban Paul, Jo Anne Stratton, Aron E. Lukacher, Samantha A. Spencer

“…Using mouse polyomavirus (MuPyV) CNS infection, an in vivo model for JCPyV-induced Progressive Multifocal Leukoencephalopathy (PML), we investigated sites of early infection, immune responses, and recruitment of T cells to the brain. Multiplexed error-robust fluorescence in situ hybridization (MERFISH) single-cell spatial transcriptomics was applied to assess the regionality of virus infection and brain-resident cell and infiltrating leukocyte responses. …”
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A Comparative Study of Deep Audio Models for Spectrogram- and Waveform-Based SingFake Detection by Minh Nguyen-Duc, Luong Vuong Nguyen, Huy Nguyen-Ho-Nhat, Tri-Hai Nguyen, O-Joun Lee

“…Metrics such as Precision, Recall, F1-score, Equal Error Rate (EER), and Area Under the Curve (AUC) provide insights into the strengths and weaknesses of each approach. …”
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Ecological footprint analysis as a tool for advancing sustainable development goals (SDGs): Evidence from China by Jie Wu, Haozhe Yu, Ning Cao, Jing Zhang, Jawad Khan, David lee

“…Using time series data from 1995 to 2023, the study applies a Vector Error Correction Model (VECM), Autoregressive Distributed Lag (ARDL) analysis, and Fully Modified Ordinary Least Squares (FMOLS) to capture both long-term equilibrium and short-run dynamics. …”
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Implementation of laser-light backscattering imaging for authentication of the geographic origin of Indonesia region citrus by Muhammad Achirul Nanda, S. Rosalinda, Rahmat Budiarto, Inna Novianty, Taufik Ibnu Salim, Pradeka Brilyan Purwandoko, Dimas Firmanda Al Riza

“…The results showed that the proposed technique achieved 96.667 % accuracy and 3.333 % apparent error for authentication of the geographic origin. …”
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Estimation of performance measures in a novel M/M/1 queueing model with reverse balking: A simulation-based approach by Asmita Tamuli, Dhruba Das, V. Deepthi, Amit Choudhury, Dibyajyoti Bora, Bhushita Patowari, Supahi Mahanta

“…The effectiveness of all the estimation techniques has been evaluated based on the root mean squared error (RMSE) of the estimates. The computational results demonstrate that estimates under both approaches converge to the true values as the sample size increases. …”
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