Xiao Li^*, Junxiang Liu, Weinan Fan, Shiying Xu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-2, 2025, DOI:10.32604/icces.2025.012284

Abstract Flooding is one of the most common types of natural hazards leading to wide-spread disturbances and damages to human communities and natural environment across the world. Flood forecasting is an effective means to provide timely hazard information to relevant government decision-makers and practitioners as well as those residents at risk, which plays an important role in flood risk reduction. A complete flood forecasting system normally includes at least two components, that is precipitation predictions and a hydrological or hydraulic model for flooding processes simulation. However, the current flood forecasting especially for urban floods face obvious… More >

Uzair Abbas¹, Zahid Maqbool¹, Muhammad Adnan Shahid^1,2,*, Muhammad Safdar^1,2, Saif Ullah Khan^1,3

Revue Internationale de Géomatique, Vol.34, pp. 655-668, 2025, DOI:10.32604/rig.2025.064279 - 11 August 2025

Abstract This study was conducted to devise an integrated methodology for retrieval of surface soil moisture (SSM) using Landsat 8 TIRS data. For this purpose, Landsat 8 images of 15 May 2021 (pre-monsoon) and 20 November 2021 (post-monsoon) were processed for retrieval of soil moisture index (SMI) based on land surface temperature (LST). Moreover, field-based SM in the laboratory was also determined and correlated with satellite-based SMI. A moderate correlation between field-based SM and satellite-based SMI with R² = 0.60 was obtained. Based on this relationship, SSM maps of Tehsil Faisalabad Saddar for the pre-and post-monsoon seasons… More >

Josef Walek^*, Petr Lichý

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 3135-3153, 2025, DOI:10.32604/cmes.2025.059889 - 03 March 2025

Abstract Plastometric experiments, supplemented with numerical simulations using the finite element method (FEM), can be advantageously used to characterize the deformation behavior of metallic materials. The accuracy of such simulations predicting deformation behaviors of materials is, however, primarily affected by the applied rheology law. The presented study focuses on the characterization of the deformation behavior of AISI 1045 type carbon steel, widely used e.g., in automotive and power engineering, under extreme conditions (i.e., high temperatures, strain rates). The study consists of two main parts: experimentally analyzing the flow stress development of the steel under different thermomechanical… More >

Léonor Fasse^1,2,*, François Blot²

Psycho-Oncologie, Vol.18, No.4, pp. 367-375, 2024, DOI:10.32604/po.2024.049544 - 04 December 2024

Abstract Arrière-plan: L’information sur la possibilité de rédiger des Directives Anticipées (DA) est une nécessité et représente un enjeu majeur sur les plans médical, éthique, légal. Les difficultés sont nombreuses, organisationnelles ou culturelles, et c’est aussi vrai dans l’univers de la cancérologie, où les DA (et plus largement les discussions anticipées) revêtent une importance cruciale. Sujet éminemment sensible, l’abord des DA (donc d’une réflexion sur la fin de vie) nécessite un travail d’acculturation à la fois sociétale et médico-soignante. Une démarche institutionnelle a donc été élaborée, dans l’objectif d’un déploiement d’outils d’information, de formation des professionnels,… More >

Jian-Hong Ye^1,2, Yuting Cui^3,*, Li Wang⁴, Jhen-Ni Ye⁵

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 805-815, 2024, DOI:10.32604/ijmhp.2024.055814 - 31 October 2024

Abstract Background: With the global popularity of short videos, particularly among young people, short video addiction has become a worrying phenomenon that poses significant risks to individual health and adaptability. Self-regulated learning (SRL) strategies are key factors in predicting learning outcomes. This study, based on the SRL theory, uses short video addiction as the independent variable, SRL strategies as the mediating variable, and learning well-being as the outcome variable, aiming to reveal the relationships among short video addiction, self-regulated learning, and learning well-being among Chinese college students. Methods: Using a cross-sectional study design and applying the… More >

Umar Zaman¹, Junaid Khan², Eunkyu Lee^1,3, Sajjad Hussain⁴, Awatef Salim Balobaid⁵, Rua Yahya Aburasain⁵, Kyungsup Kim^1,2,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1789-1808, 2024, DOI:10.32604/cmc.2024.056222 - 15 October 2024

Abstract Maritime transportation, a cornerstone of global trade, faces increasing safety challenges due to growing sea traffic volumes. This study proposes a novel approach to vessel trajectory prediction utilizing Automatic Identification System (AIS) data and advanced deep learning models, including Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Bidirectional LSTM (DBLSTM), Simple Recurrent Neural Network (SimpleRNN), and Kalman Filtering. The research implemented rigorous AIS data preprocessing, encompassing record deduplication, noise elimination, stationary simplification, and removal of insignificant trajectories. Models were trained using key navigational parameters: latitude, longitude, speed, and heading. Spatiotemporal aware processing through trajectory segmentation… More >

Ernesto Viglizzo^1,2,*, Florencia Ricard^3,4

Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1943-1962, 2024, DOI:10.32604/phyton.2024.052513 - 30 August 2024

Abstract Because of environmental constraints, beef cattle was for more than a century the only viable farming option in the extensive semiarid and subhumid lands of Argentina and the main source of nutrients for humans as well. However, a growing concern and criticism have risen today about its possible negative impact on the climate and the environment. These worries tend to affect current public opinions, national policies, and international trade. Based on 40 beef cattle farms scattered across different semiarid and subhumid regions of Argentina, here we evaluated the impact of extensive cattle production on carbon,… More >

Carolle Annie Njopvoui^*, Armel Valdin Teague Tsopgny, Henri Rodrigue Njengoue Ngamaleu

Psycho-Oncologie, Vol.18, No.1, pp. 59-68, 2024, DOI:10.32604/po.2023.047499 - 25 March 2024

Abstract Estimated at more than 2.2 million cases worldwide, most breast cancer cases and deaths from breast cancer occur in low and middle-income countries. In Cameroon, many studies have underlined the effect of knowledge of breast cancer on screening measures such as self-examination and, to a lesser extent, the perception of the threat of this disease. This research aims to assess according to the Health Belief Model (HBM), the moderating effect of perceived threat of breast cancer on the relation between knowledge and breast self-examination. A questionnaire survey was conducted among 517 Cameroonian women to assess… More >

Rossi Silvia^1,2,*, Sandrine de Montgolfier^1,3, Joëlle Kivits⁴

Psycho-Oncologie, Vol.18, No.1, pp. 33-41, 2024, DOI:10.32604/po.2024.042709 - 25 March 2024

Abstract Objectif: La démocratie en santé nécessite de disposer d’outils et de méthodologies pour impliquer les acteurs non scientifiques dans l’élaboration et la mise en œuvre des politiques de santé. La narration pourrait être un des outils qui permettent de rendre la démocratie en santé effective. Notre objectif est de voir comment la narration est mobilisée en lien avec la démocratie en santé, de décrire les objectifs de son usage, la méthodologie adoptée et les résultats obtenus. Matériel et méthodes: Nous avons réalisé une revue de la littérature narrative. Notre équation de recherche a été composée par le… More >

Qi Li, Jinsheng Hu^*, Peng Wan

International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1173-1186, 2023, DOI:10.32604/ijmhp.2023.030343 - 08 December 2023

Abstract

Given the ongoing character of COVID-19, higher-education students encountered multifaceted pressures brought about by the pandemic and had to overcome many difficulties during this period. Accordingly, it is imperative to identify the factors that may have protective effects on the social functioning and mental status of college students in the aftermath of COVID-19. This cross-sectional study sought to ascertain the internal mechanism of positive coping (PC) styles affecting post-traumatic growth (PTG) and considered the mediating roles of cognitive reappraisal (CR), psychological resilience (PR), and deliberate rumination (DR), which are essential for understanding how and to

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