Severe floods predictive ability: A proxy based probabilistic assessment of the Italian early warning system by Francesco Silvestro, Luca Molini, Fausto Guzzetti, Federico Schiavi, Fabio Castelli, Luca Ferraris

“…Given its hybrid nature, it is of paramount importance to evaluate the predictive ability of the warning decision‐making process as a whole. To this end, this study compares the return period T of the occurred flood (estimated through an hydrological model fed with observations) to the warning level that was issued. …”
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Tube-based integral sliding mode predictive control scheme for constrained uncertain nonlinear time-delay system by Xin Di, Baili Su, Shicheng Su

“…For a class of constrained uncertain nonlinear time-delay systems, how to achieve their stability and robustness is a crucial issue. To this end, this paper proposes a tube-based integral sliding mode predictive control scheme (ISMPC). …”
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Legislative framework for sediment management in the United States by P. A. Garcia-Chevesich, S. L. Jones, J. M. Daniels, R. Valdés-Pineda, H. Venegas-Quiñones, R. Pizarro

“…Sediment erosion is a serious issue, with approximately 75 billion tons of soil is eroded annually around the world (Pimentel and Kounang, 1998). …”
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L’Union Europeenne dans le labyrinthe de l’avenir – problemes fondamentaux by Paul Mircea Cosmovici

“…The questions that have risen regarding this issue, the debates and the various solutions concern especially the way in which the national identity would be affected due to the integration process and, at the same time, whether the European Union’s identity would be affected by the admission of new member states. …”
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Dynamic Discrete GM (1,1) Model and Its Application in the Prediction of Urbanization Conflict Events by Ersi Liu, Qiangqiang Wang, Xinran Ge, Wei Zhou

“…In order to solve this issue, this study proposes a dynamic discrete GM (1,1) model based on the grey prediction theory and the GM (1,1) model. …”
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Causal discovery and fault diagnosis based on mixed data types for system reliability modeling by Xiaokang Wang, Siqi Jiang, Xinghan Li, Mozhu Wang

“…In this paper, we address the issue by proposing a causal mapping process based on coordinate representations for heterogeneous non-Euclidean data. …”
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Selective emotion regulation in creative art production: Psychophysiological reactivity during painting reduces anxiety by Lucas Bellaiche, Kayla Lihardo, Chloe Williams, Jill Chaffee, Kevin S. LaBar, Paul Seli

“…Our findings demonstrate that, above and beyond the non-creativity processes shared with the control task, painting selectively reduces anxiety, and that greater cognitive engagement and physiological reactivity characterize this reduction. …”
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Legal aspects regarding the use and integration of electronic medical records for epidemiological purposes with focus on the Italian situation by Antonietta Stendardo, Francesca Preite, Rosaria Gesuita, Simona Villani, Antonella Zambon, SISMEC "Observational Studies" working group

“…The fourth section, “Conditions for processing”, discusses problems associated with using research data from one study in other investigations. …”
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Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices by Tess Watt, Christos Chrysoulas, Peter J. Barclay, Brahim El Boudani, Grigorios Kalliatakis

“…Tiny machine learning (tinyML) aims to solve this problem by hosting artificial intelligence (AI) assistants on constrained devices, eliminating connectivity issues by processing data within the device itself, without Internet or cloud access. …”
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Enhanced multiscale plant disease detection with the PYOLO model innovations by Yirong Wang, Yuhao Wang, Jiong Mu, Ghulam Raza Mustafa, Qianqian Wu, Ying Wang, Bi Zhao, Siyue Zhao

“…However, plant disease detection faces several challenges, including the diversity of plant disease scenarios and complex backgrounds. To address these issues, we propose a plant disease detection model named PYOLO. …”
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Rare plants detection using a YOLOv3 neural network by L.A. Gorodetskaya, A.Y. Denisova, L.M. Kavelenova, V.A. Fedoseev

“…To reduce the human impact on the natural habitat of plants and simplify the monitoring process, we propose the use of automatic analysis of unmanned aerial vehicles (UAVs) data using the Yolov3 neural network. …”
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Regulatory Role of Redox Balance in Determination of Neural Precursor Cell Fate by Mohamed Ariff Iqbal, Eftekhar Eftekharpour

“…The elusive nature of ROS signaling in many vital processes from cell proliferation to cell death creates a complex literature in this field. …”
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The Inactivation of Microscopic Fungi in Bakery Products Using Hurdle Technology—A Case Study by Anna Diowksz, Przemysław Kopeć, Anna Koziróg

“…The issue of the microbiological spoilage of bakery products with an extended shelf life declared by the producer was the reason for searching for an effective solution. …”
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Use of Edaphic Bioindicators to Mitigate Environmental Impact and Improve Agricultural Research and Training by Ana Cano-Ortiz, José Carlos Piñar Fuentes, Juan Peña-Martínez, Eusebio Cano

“…To address this issue, government institutions are promoting sustainability through ecological agriculture and CO₂ reduction, both of which can be supported by the use of soil bioindicators.…”
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Applications of Gas Chromatography and Gas Chromatography-Mass Spectrometry for the Determination of Illegal Drugs Used in Drink Spiking by Hesham Kisher, Oliver Gould, Kevin C. Honeychurch

“…Drink spiking is a significant public safety issue, often linked to crimes such as theft and sexual assault. …”
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A New Bootstrap Based Algorithm for Hotelling’s T2 Multivariate Control Chart by A. Mostajeran, N. Iranpanah, R. Noorossana

“…The latter case is obtained when the process mean is subject to sustained shifts. Numerical results indicate that the proposed algorithm performs better than the above mentioned methods. …”
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An improved sliding mode observer algorithm for PMSM based on deformable fuzzy neural network by Xiaolin Li, Na Liu, Juan Song, Yiyan Zhang

“…To address the issue of poor speed estimation performance caused by the inability of sensor parameters to adjust in real time under complex working conditions in traditional sliding mode observer sensorless control techniques for permanent magnet synchronous motors (PMSM), an improved sliding mode sensorless algorithm combining radial basis function (RBF) neural networks and fuzzy logic control theory is proposed. …”
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Creation of the Vyatka Brotherhood of the Saint Nicholas the Miracle Worker in the Context of the Interaction of the Secular and Spiritual Authorities of the Vyatka Province by M. Yu. Polovnikova, E. N. Nemchaninova

“…In this work, on the basis of archival materials, the process of preparation for the opening of the Vyatka brotherhood of St. …”
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The tenure and management of perdikan land: a comparative study of South Korea and Indonesia, 1900–1946 by Nur Aini Setiawati, Nayelli Lopez Rocha, Youen Kim, Wasino

“…This article posits that Buddhism played a mediating role in the land tenure transition process in South Korea. In contrast, in Indonesia, religion contributed to the complexity of the perdikan land issue.…”
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A new machine learning method for rainfall classification: temporal random tree by Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant

“…In fact, samples in temporal data, such as precipitation data, may not have equal importance; more recent samples contain more accurate and useful information than earlier ones. To address this issue, the article proposes a novel method, named temporal random tree (TRT), in which recent training samples have a greater impact on the model’s decision-making process. …”
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