Assessment of the accident rate coefficient at pedestrian railway crossings by Julia Lesiv, Vitalii Kovalchuk

“…This study reviews international and Ukrainian methods and models for forecasting accidents at railway crossings. The methodology for calculating the pedestrian accident rate coefficient at railway crossings – within and outside existing level crossings – has been improved. …”
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An integrated valuation model for payer and investor by Mark Nuijten, Stefano Capri

“…This analysis must include the constraints from the perspective of the payer, but also the biotech companies, who require a minimum drug price to satisfy their investors. …”
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Distribution and Occurrence Frequency of dB/dt Spikes During Magnetic Storms 1980–2020 by A. Schillings, L. Palin, H. J. Opgenoorth, M. Hamrin, L. Rosenqvist, J. W. Gjerloev, L. Juusola, R. Barnes

“…Our findings regarding the physical causes and characteristics of dB/dt spikes may help to improve the GIC forecast for the affected regions.…”
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Planning and management of logistic cycle by V. N. Kudashkin

“…The main methods, used in this work are as follows: method of system analysis, method of the theory of operations’ research, prognostics. …”
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Advances in Remote Sensing and Deep Learning in Coastal Boundary Extraction for Erosion Monitoring by Marc-André Blais, Moulay A. Akhloufi

“…This review provides an in-depth analysis of remote sensing and deep learning for extracting coastal boundaries to assist in erosion monitoring. …”
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Government support for addressing energy poverty in the context of low-carbon transition by Svitlana Naumenkova, Svitlana Mishchenko, Ievgen Tishchenko, Volodymyr Mishchenko

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Body weight and body surface area of adult patients with selected cancers: An Italian multicenter study. by Valentina Danesi, Alice Andalò, Martina Cavallucci, William Balzi, Nicola Gentili, Mattia Altini, Roberta Maltoni, Ilaria Massa, Giorgia Vallicelli, Maria Teresa Montella, Carla Masini, Andrea Roncadori

“…The regression models for predicting BSA can assist regulatory bodies in determining reimbursement for new chemotherapy drugs and help hospitals forecast drug utilization and expenditure more accurately.…”
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Certain aspects of the implementation of imputed insurance of environmental risks in the Russian Federation by T. A. Belousova, N. V. Kirillova, V. S. Gudkovа, L. S. Krutova

“…Correlation-regression analysis and actuarial modeling were used to determine the conditions for insuring environmental risks and calculate tariff rates.Results: the paper substantiates the possibility of carrying out insurance of environmental risks in the form of a pilot project using an imputed form of insurance. …”
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VOCATIONAL-PEDAGOGICAL EDUCATION IN RUSSIA: HISTORICAL AND LOGICAL PERIODS by V. A. Fedorov, N. V. Tretyakova

“…The materials of the publication can be useful for scientific and practical workers who are taking part in training of teachers of vocational education and engaged in forecasting and design of development of the system of vocational pedagogical education.…”
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Different neutrophil extracellular trap related Ewing sarcoma subtypes exhibit distinct prognosis, and immune microenvironment characteristics by Shihao Li, Yanli Hou, Lina Zhang, Haiyang Zhang, Congcong Wang

“…We constructed a NET signature utilizing four crucial NET-related genes in EWS to forecast prognosis and investigate the potential immunological value of this signature in EWS. …”
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Evaluating Costs and Benefits of Romanian’s Integration into the European Union by Constantin Ciupagea, Dorin Jula, Laura Marinaș, Geomina Țurlea, Manuela Unguru, Radu Gheorghiu

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Characteristics and atmospheric drivers of large‐scale agrometeorologically relevant dry spells in sub‐seasonal to seasonal timescales over Zimbabwe by Gibbon I. T. Masukwedza, Victoria L. Boult, Melissa Lazenby, Martin C. Todd

“…Abstract This article pioneers a unique approach to examining generic dry spells, shifting focus from traditional rain‐free period analysis to a crop‐centric perspective that integrates an anticipatory lens inspired by Impact‐based Forecasting (IbF). …”
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Application of Log-Type Estimators for Addressing Non-Response in Survey Sampling Using Real Datasets by G. R. V. Triveni, Faizan Danish, Melfi Alrasheedi

“…In this study, we propose families of novel log-type estimators under various scenarios. We performed an analysis on the reliability and efficiency of our proposed estimators in situations when NR occurs in both study and auxiliary variables and when NR occurs only in study variables. …”
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Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…The framework leverages long short-term memory (LSTM) networks for temporal data, convolutional neural networks (CNNs) for spatial analysis, and autoencoders for anomaly detection. The system focuses on two main objectives, which include better forecasting precision, optimum resource distribution, and efficient detection of operational problems.…”
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Determination of the actual accuracy of GNSS positioning using a total station for monitoring landslide processes by V.V. Korobiichuk, D.V. Mitchenko

“…Based on the collected data, an analysis of GNSS positioning errors, their variability, and stability was performed. …”
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Static and Dynamic Mechanical Properties of Organic-Rich Gas Shale by Hui Li, Chi Dong, Hongwei Yu, Xin Zhao, Yan Li, Lele Cao, Ming Qu

“…Correlations between static and dynamic Young’s modulus are developed by regression analysis, which are crucial to understand the rock mechanical properties and forecast reservoir performance when direct measurement of static mechanical properties is not available or expensive. …”
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Automated Eddy Identification and Tracking in the Northwest Pacific Based on Conventional Altimeter and SWOT Data by Lan Zhang, Cheinway Hwang, Han-Yang Liu, Emmy T. Y. Chang, Daocheng Yu

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A Novel, Sensitive Assay for Behavioral Defects in Parkinson's Disease Model Drosophila by Ronit Shaltiel-Karyo, Dan Davidi, Yotam Menuchin, Moran Frenkel-Pinter, Mira Marcus-Kalish, John Ringo, Ehud Gazit, Daniel Segal

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Moscow Population Before and After the COVID-19 Pandemic by A. A. Savina, E. V. Zemlyanova

“…Studying the impact of the COVID-19 pandemic on the population size and structure helps to forecast long-term consequences for health and the demographic situation in Moscow. …”
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Evaluation of a BCC-CPSv3-S2Sv2 Model for the Monthly Prediction of Summer Extreme Precipitation in the Yellow River Basin by Zhe Li, Zhongyuan Xia, Jiaying Ke

“…Significant skills for June–July are constrained within 10-day leads, while August skills rarely exceed 1 week. Further analysis reveals that the predictive capability of the model predominantly originates from normal or below-normal precipitation years, whereas the accurate forecasting of extremely wet years remains a critical challenge, which highlights limitations in capturing mechanisms governing exceptional precipitation events.…”
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