Interphase phenomena during humidification electrostatic fiber concrete by M. R. Nakhaev

“…A hydrophilic binder has been developed using calcium lignosulfonate additive, which makes it possible to demonstrate the effectiveness of the electrostatic method in the future.Conclusion. …”
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Determination of the necessary degree of national programs standardization by network and business planning methods by V. V. Eremin, S. B. Reshetnikov, D. V. Firsov

“…To determine the impact of the degree of standardization on the implementation time of national programs implementation, it is proposed to use network-planning methods, taking into account the influence of the time required for the development and implementation of additional standards on the implementation of the national program. …”
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Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis by Janne Kauttonen, Rebekah Rousi, Ari Alamäki

“… BackgroundArtificial intelligence (AI) has potential to transform health care, but its successful implementation depends on the trust and acceptance of consumers and patients. …”
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Reconfigurable mmWave Planar Phased Array Featuring Wide Elevation and Full Azimuth Spatial Coverage for 5G Vehicular Application by Saiful Islam, Hanvit Kim, Tuyen Dinh Nguyen, Sunwoo Kim, Hyoungsuk Yoo

“…The obtained results from the physical implementation align with the simulation, confirming the effectiveness of the proposed V2X antenna array for 5G wireless communication systems.…”
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Development of a warning model for drug-induced liver injury in the older patients by Qiaozhi Hu, Qiaozhi Hu, Xiaoqi Li, Xiaoqi Li, Dan Zou, Zhiyao He, Zhiyao He, Ting Xu

“…Leveraging machine learning techniques, this model holds significant potential for clinical implementation to effectively warn clinicians of DILI risk among older hospitalized patients.…”
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Exploration of the impact of air pollutants on the influenza epidemic after the emergence of COVID-19: based on Jiangsu Province, China (2020–2024) by Chengxi Zheng, Xin Jiang, Yi Yin, Qigang Dai, Shuhan Tang, Jianli Hu, Changjun Bao, Haitao Yang, Zhihang Peng, Zhihang Peng, Zhihang Peng

“…Meteorological factors, including temperature and humidity, as well as the implementation stages of NPIs, were controlled in the model to isolate the impact of pollutants on influenza transmission.ResultsThe NO2 and SO2 both showed significant positive effects in all age groups. …”
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Geography versus sociodemographics as predictors of changes in daily mobility across the USA during the COVID-19 pandemic: a two-stage regression analysis across 26 metropolitan ar... by Alain B Labrique, Amy Wesolowski, Derek A T Cummings, Shruti H Mehta, Sunil S Solomon, Rohan Arambepola, Kathryn Schaber, Catherine Schluth

“…These results can determine the efficacy of NPI implementation on multiple spatial scales and inform policy makers on whether certain NPIs should be implemented or lifted during the ongoing COVID-19 pandemic and when preparing for future public health emergencies.…”
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Encouraging self-regulated learning: examining the feedback approaches and teaching strategies employed by English Home Language teachers by Jesmien Manuel, Bernadette Geduld, Kotie Kaiser

“…The additive approach to multilingualism followed in South African public schools complicate teaching and learning in English Home Language. …”
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Machine learning model for postpancreaticoduodenectomy haemorrhage prediction: an international multicentre cohort study by Zhe Zhang, Xiaowei Wang, Chengfeng Wang, Jianwei Zhang, Xueping Zhao, Minjie Shang, Qiuran Xu, Zongting Gu

“…Prospective validation is warranted prior to broad implementation.…”
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Performance Statistics of Autoregressive Short and Ultrashort Signal Detectors by V. M. Kutuzov, V. P. Ipatov, S. S. Sokolov

“…This paper investigates modified detection statistics of the parametric Burg method, characterized by the simplicity of decision functions and the capacity to provide a constant false alarm probability under varying additive noise levels.Materials and methods. Statistical computer simulation of the detection algorithms under consideration was conducted. …”
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Investigation of the effects of walnut shell wood particles on the mechanical properties of injection molded wood‐ polyethylene‐polycarbonate composites by Rasool R. K. Al‐Arkawazi, Taher Azdast, Rezgar Hasanzadeh

“…Abstract In this study, walnut shell is used as an additive in wood‐plastic composite production to explore their potential in manufacturing processes. …”
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MILK PRICE PREDICTING WITH HOLT WINTERS AND ORDINARY LEAST SQUARES by Filiz BASAGAOGLU

“…In this research, smoothing methods and the Ordinary Least Squares (OLS) method for predicting producer milk prices in Turkey is implemented. Holt-Winters multiplicative (HWM) method and Holt-Winters additive (HWA) method are included in the exponential smoothing methods. …”
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Investigating the effects of a temperature dependent photodynamic dose: A numerical study by Andrew Effat, Nicholas Bernards, Runjie Bill Shi, Gang Zheng, Brian C. Wilson, Kazuhiro Yasufuku, Robert A. Weersink

“…Future work is ongoing to implement additional variables, such as photosensitizer photobleaching, and spatial and temporally varying oxygenation.…”
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Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients by Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar

“…With its high accuracy, the proposed model offers valuable insights for medical practitioners, enabling informed decision-making and the implementation of preventive measures to mitigate stroke risk.…”
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Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study by Hao Ren, Yiying Zheng, Changjin Li, Fengshi Jing, Qiting Wang, Zeyu Luo, Dongxiao Li, Deyi Liang, Weiming Tang, Li Liu, Weibin Cheng

“…The early identification of individuals at risk for cognitive impairment through a convenient and rapid method is crucial for the timely implementation of interventions. ObjectiveThe objective of this study was to explore the application of machine learning (ML) to integrate blood biomarkers, life behaviors, and disease history to predict the decline in cognitive function. …”
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A web-based prediction model for brain metastasis in non-small cell lung cancer patients by Jianing Chen, Li Wang, Li Liu, Qi Wang, Jing Zhao, Xin Yu, Shiji Zhang, Chunxia Su

“…This advancement enables the accurate prediction of BM risk, facilitating the implementation of targeted preventive measures for individuals deemed at high risk.…”
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Viterbi-Viterbi Carrier Phase Estimation for Multi-Ring <inline-formula><tex-math notation="LaTeX">$M$</tex-math></inline-formula>-APSK With Wiener Carrier Phase Noise and Its Perf... by Qian Wang, Wenqiang Ma, Li Ping Qian, Xinwei Du, Changyuan Yu, Pooi-Yuen Kam

“…The design is based on the linear minimum mean square error (LMMSE) criterion to optimize the weight coefficients with respect to the statistics of Wiener phase noise and additive, white, Gaussian noise. For simple implementation, approximate ring-detection-based and average-energy-based LMMSE estimators are further derived for multi-ring modulations. …”
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Genetic parameters for somatic cell score, differential somatic cell count, and milk electrical conductivity in dairy buffaloes by J. Ramírez Díaz, T. Bobbo, R. Matera, M. Gómez-Carpio, R. Cimmino, G. Pedota, S. Biffani, G. Neglia

“…Understanding the genetic architecture of economically important traits in dairy buffaloes is essential for implementing genetic selection and breeding strategies aimed at improving the productivity and profitability of dairy buffalo farming. …”
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Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin by Prashant Parasar, Akhouri Pramod Krishna

“…The main findings of this study are (1) KAN demonstrated high predictive performance with root mean squared error (RMSE) values ranging from 42.7 to 58.3 m3/s, Nash–Sutcliffe efficiency (NSE) between 0.80 and 0.87, mean absolute error (MAE) between 28.9 to 52.7 and R2 values between 0.84 and 0.90 across stations. (2) SHAP based feature contribution analysis identified Relative humidity (hurs), specific humidity (huss), and temperature (tas) as key predictors, while (pr) showed limited contribution due to spatial inherent inconsistencies in GCM precipitation data. (3) The bootstrapped SHAP distributions highlighted substantial variability in feature importance, particularly for humidity variables, revealing station specific uncertainty patterns in model interpretation. (4) The KAN framework results indicate strong temporal alignment and physical realism, confirming KAN’s robustness in capturing seasonal discharge dynamics and extreme flow events under monsoon influence environments. (5) In this study KAN with SHAP (SHapley additive exPlanations) is implemented for hydrological modeling under monsoon-influenced and data-limited regions such as SRB, offering improved accuracy, functional precision and efficiency compared to traditional models. …”
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Monitoring and Risk Assessment of the National Project “Ecology” by T. Yu. Gasanov, I. V. Pashnin, I. F. Vetrova

“…The directions of achieving environmental sustainability in Russia are supposed to be solved through the implementation of a set of measures outlined in the national project “Ecology”, which sets a number of targets and additional indicators that contribute to solving environmental problems. …”
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