Nuclear geophysical assessment of aquifer groundwater quality in Okerenkoko community, Niger Delta: Implications for human health risk by Esi Emmanuel Oghenevovwero, Ebikapaye Peretomode, Akpoyibo Ogheneovo

“…The evaluation of aquifer groundwater quality in Okerenkoko, an oil-producing community in southern Niger Delta, Nigeria was conveyed by exploiting the vertical electrical soundings (VES) method with the support (aid) of Terrameter (1000) The Assays, Borehole Electro-Magnetics (ABEM) signal (recording) averaging system, groundwater collection and samples analysis with the assistance of sodium iodide [Na(TI)] detector. …”
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OPTICALS: A Novel Framework for Optimizing Predictive Trading Indicators in Cryptocurrency Using Advanced Learning Simulations by Hasib Shamshad, Fasee Ullah, Syed Adeel Ali Shah, Muhammad Faheem, Beena Shamshad

“…OPTICALS incorporates a “Look-back window” hyperparameter, using recent historical prices to predict next-day trends through Moving Averages analysis. This parameter refines lagged feature engineering to enhance trend capture and predictive accuracy. …”
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Wire Arc Additive Manufacturing for Widespread Architectural Application: A Review Informed by Large-Scale Prototypes by Felix Raspall, Sergio Araya, Maximiliano Pazols, Eduardo Valenzuela, Martín Castillo, Paola Benavides

“…A detailed analysis of seven projects documents the scale and development of the prototypes, functional lab configuration, and process parameters. …”
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AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses by Saram Abbas, Rishad Shafik, Naeem Soomro, Rakesh Heer, Rakesh Heer, Kabita Adhikari

“…ResultsML algorithms demonstrate significant potential, with neural networks achieving accuracies of 65–97.5%, particularly with multi-modal datasets, and support vector machines averaging around 75%. Models combining multiple data types consistently outperformed single-modality approaches. …”
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Impact of a Developmental Care Training Course on the Knowledge and Satisfaction of Health Care Professionals in Neonatal Units: A Multicenter Study by Rocío Mosqueda-Peña, David Lora-Pablos, Abraham Pavón-Muñoz, Noelia Ureta-Velasco, María Teresa Moral-Pumarega, Carmen Rosa Pallás-Alonso

“…Scores on a scale of satisfaction from 1 to 5 were high (averages of above 4 for all lectures and workshops). …”
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Distribution‐Based Model Evaluation and Diagnostics: Elicitability, Propriety, and Scoring Rules for Hydrograph Functionals by Jasper A. Vrugt

“…We are particularly concerned with elicitable functionals and scoring rule propriety, discuss the decomposition of scoring rules into a sharpness, reliability and entropy term and present diagnostically appealing strictly proper divergence scores of hydrograph functionals for flood frequency analysis, flow duration and recession curves. The usefulness and power of distribution‐based model evaluation and diagnostics by means of scoring rules is demonstrated on simple illustrative problems and discharge distributions simulated with watershed models using random sampling and Bayesian model averaging. …”
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Starting postgraduate medical training in general practice with a rotation in general practice – a qualitative study on experiences and effects by Becker, Christine, Stengel, Sandra, Roos, Marco, Altiner, Attila, Schwill, Simon

“…The results were transcribed verbatim and analyzed using content analysis.Results: N=15 interviews were conducted, averaging 54 minutes (32-75 minutes) each (9 federal states, 4 GPs, 11 GP trainees). …”
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ESTIMATING INFLATION AND INFLATION EXPECTATIONS BASED ON A MARKOV-SWITCHING VECTOR AUTOREGRESSION APPROACH: CASE OF UKRAINE by Ірина Лук'яненко, Марія Насаченко, Тарас Токарчук

“…The findings reveal a significantly longer duration of high-volatility regimes (averaging 4 months) compared to low-volatility regimes (1.4 months), reflecting the prolonged instability in the macroeconomic environment. …”
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Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data by Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

“…The present study focuses on analysis of the soil cover structure (SCS, SCSs), which is the most detailed level of soil organization in space. …”
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Diastolic dysfunction in late postmenopausal patients with undifferentiated connective tissue disease and hypertension by A. M. Shambatov, N. V. Izmozherova, A. A. Popov, I. F. Grishina

“…The measure of data averaging is the median, the measure of dispersion is 25%÷75%. …”
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Utilizing Sentinel-2 Remote Sensing for Water Quality Monitoring in Deran Lake, Bosnia and Herzegovina by A. Batina, A. Šiljeg, G. Pedić, M. Parać

“…Spatial averaging over 5×5-pixel windows improved estimation accuracy, yielding R² values of 0.85 for TSS/TSM and 0.69 for Chl-a. …”
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Development and validation of a predictive model for hospital mortality in patients with community-acquired pneumonia admitted to the intensive care unit by Xuefeng Song, Qiang Zhang, Zhijiang Qi, Bo Liu

“…First-day intensive care unit admission parameters were averaged. Least Absolute Shrinkage and Selection Operator regression and multivariate logistic regression analyses were used to identify mortality risk factors in the training cohort, followed by nomogram construction. …”
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Association of dietary anthocyanidins intake with all-cause mortality and cardiovascular diseases mortality in USA adults: a prospective cohort study by Yifei Yan, Jianchang Li

“…A multivariate Cox regression analysis was employed to evaluate the effects of anthocyanin intake on mortality outcomes, generating hazard ratios and 95% confidence intervals, adjusting for various demographic characteristics, lifestyle factors, and comorbid conditions. …”
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Perspective improvement of regional air pollution burden of disease estimation by machine intelligence by Cheng-Pin Kuo, Cheng-Pin Kuo, Joshua S. Fu, Yang Liu

“…The results of further analysis showed using observations only (PM2.5: 17%; O3: 56%) or the uncorrected CTM estimations (PM2.5: −18%; O3: 171%) contributed more BD biases compared with employing averaged risks without considering urbanization levels (PM2.5: −5%; O3: −4%). …”
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Wildlife strikes with military rotary‐wing aircraft during flight operations within the United States by Brian E. Washburn, Paul J. Cisar, Travis L. DEvault

“…Wildlife strikes to military rotary‐wing aircraft during flight operations within the United States are both costly (averaging US$12,184–$337,281/strike event among the military services) and deadly (2 pilots were killed). …”
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Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions by Wesam Ahmed, Mudasir Ahmad Wani, Pawel Plawiak, Souham Meshoul, Amena Mahmoud, Mohamed Hammad

“…This study addresses challenges in performance analysis, quality education delivery, and student evaluation through machine learning (ML) models. …”
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Measuring resting heart rate during daily life using wearable technology: Examining the impact of behavioral context and methodological criteria by F Elizabeth Godkin, Karen Van Ooteghem, Kit B Beyer, Kyle Weber, Benjamin F Cornish, Ada Tang, Kaylena Ehgoetz Martens, William E McIlroy

“…Following signal quality screening and beat-to-beat calculations, HR was analyzed using rolling averages of 15-, 30-, and 60-s windows within periods of device-detected sedentary behavior and sleep. …”
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Prevalence of common mental health problems and associated factors among university students visiting Supara mental health service: A cross-sectional study [version 4; peer review:... by Pantri Kirdchok, Chotiman Chinvararak, Varuna Kolkijkovin, Wanida Munsukpol

“…In addition, multivariable regression analysis was used to identify potential predictors of mental health problems. …”
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Bactericidal adsorbents obtained by ion exchange modification of natural phillipsite by V. G. Tsitsishvili, N. M. Dolaberidze, M. O. Nijaradze, N. A. Mirdzveli, Z. S. Amiridze

“…Synthesized in such way adsorbent-ion-exchangers are characterized by chemical analysis and sorption data (nitrogen adsorption-desorption isotherms at 77 K and water vapour sorption at room temperature), powder X-ray diffraction patterns, Fourier transform infra-red spectra, and scanning electron microscope images. …”
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The human brainstem’s red nucleus was upgraded to support goal-directed action by Samuel R. Krimmel, Timothy O. Laumann, Roselyne J. Chauvin, Tamara Hershey, Jarod L. Roland, Joshua S. Shimony, Jon T. Willie, Scott A. Norris, Scott Marek, Andrew N. Van, Anxu Wang, Julia Monk, Kristen M. Scheidter, Forrest I. Whiting, Nadeshka Ramirez-Perez, Athanasia Metoki, Noah J. Baden, Benjamin P. Kay, Joshua S. Siegel, Hadas Nahman-Averbuch, Abraham Z. Snyder, Damien A. Fair, Charles J. Lynch, Marcus E. Raichle, Evan M. Gordon, Nico U. F. Dosenbach

“…Here, we apply our most advanced resting-state functional connectivity based precision functional mapping in highly sampled individuals (n = 5), resting-state functional connectivity in large group-averaged datasets (combined n ~ 45,000), and task based analysis of reward, motor, and action related contrasts from group-averaged datasets (n > 1000) and meta-analyses (n > 14,000 studies) to precisely examine red nucleus function. …”
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