Salah Hadjout^1,2,*, Mohamed Zouidi¹, Houcine Bougrine¹, Abdeldjalil Belkendil¹, Amer Zeghmar¹, Walid Ouaret³, Walid Soufan⁴, Fathi Abdellatif Belhouadjeb⁵

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2983-2992, 2024, DOI:10.32604/phyton.2024.056982 - 30 November 2024

Abstract Fusarium head blight (FHB) is a disease caused by several Fusarium species, notably, F. culmorum and F. graminearum. These pathogens adversely affect the technological and sanitary qualities of cereal grains, particularly durum wheat. Under favorable environmental conditions and in susceptible varieties, these Fusarium species can significantly reduce both the quantity and quality of crops. This study evaluated the pathogenicity of the two Fusarium species (FC2006 and FG2008) in the growth of durum wheat coleoptiles. The plant material included four commercially grown parental varieties (G9, G10, G11, G12) and eight breeding lines (G1, G2, G3, G4, G5, G6, G7, G8).… More >

Ziao Wang^1,3,4,#, Likun An^1,3,4,#, Yongmei Cui^1,2,3,4, Yixiong Bai^1,3,4, Guangping Du¹, Kunlun Wu^1,2,3,4,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2755-2766, 2024, DOI:10.32604/phyton.2024.055852 - 30 November 2024

Abstract In this study, we analyzed the agronomic and physiological indicators of the leaves and roots of 60 hulless barley varieties under low-temperature treatment, identified the crucial indicators that can reflect the ability of hulless barley to tolerate low-temperature, and evaluated the ability of different hulless barley varieties to tolerate low-temperature. The results indicated significant differences in the agronomic and physiological indicators of 60 hulless barley varieties subjected to low-temperature treatment. Most of the agronomic indicators significantly decreased, whereas most of the physiological indicators significantly increased. However, the magnitude of changes in each agronomic and physiological… More >

Mohammed Amin Almaiah^1,*, Leen Mohammad Saqr¹, Leen Ahmad Al-Rawwash¹, Layan Ahmed Altellawi¹, Romel Al-Ali^2,*, Omar Almomani³

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3189-3220, 2024, DOI:10.32604/cmc.2024.057673 - 18 November 2024

Abstract Database systems have consistently been prime targets for cyber-attacks and threats due to the critical nature of the data they store. Despite the increasing reliance on database management systems, this field continues to face numerous cyber-attacks. Database management systems serve as the foundation of any information system or application. Any cyber-attack can result in significant damage to the database system and loss of sensitive data. Consequently, cyber risk classifications and assessments play a crucial role in risk management and establish an essential framework for identifying and responding to cyber threats. Risk assessment aids in understanding… More >

Ziyu Xu¹, Kuo Tian^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011245

Abstract Considering experimental testing data is costly, and sensor data is often sparse, while simulation analysis provides overall strength information with lower accuracy, a digital twin framework is proposed for full-field structural strength assessment and prediction. The framework is mainly divided into two stages. In the offline stage, the simulation model of the structure is established, and the sensor layouts are completed. Then, the DNN pre-training model is constructed based on the reduced simulation data. In the online stage, the experimentally measured data are predicted to obtain the time-series sensors data, and the traditional transfer learning… More >

Martha L. Sánchez^1,*, G. Capote²

Journal of Renewable Materials, Vol.12, No.10, pp. 1791-1810, 2024, DOI:10.32604/jrm.2024.055122 - 23 October 2024

Abstract The construction sector is one of the main sources of pollution, due to high energy consumption and the toxic substances generated during the processing and use of traditional materials. The production of cement, steel, and other conventional materials impacts both ecosystems and human health, increasing the demand for ecological and biodegradable alternatives. In this paper, we analyze the properties of panels made from a combination of plant fibers and castor oil resin, analyzing the viability of their use as construction material. For the research, orthogonal fabrics made with waste plant fibers supplied by a company… More >

Jingbin Wu^1,*, Hongming Yang², Sheng Xiang²

Energy Engineering, Vol.121, No.11, pp. 3263-3287, 2024, DOI:10.32604/ee.2024.054019 - 21 October 2024

Abstract Currently, the operational performance assessment system in the power market primarily focuses on power generation and electricity retail companies, lacking a system tailored to the operational characteristics of power generation/selling integrated companies. Therefore, this article proposes an assessment index system for assessing the operational performance of a power generation/selling integrated company, encompassing three dimensions: basic capacity, development potential, and external environment. A dynamic proportional adjustment coefficient is designed, along with a subjective and objective weighting model for assessment indexes based on a combined weighting method. Subsequently, the operational performance of an integrated company is assessed More > Graphic Abstract

Oncology Research Editorial Office

Oncology Research, Vol.32, No.11, pp. 1829-1829, 2024, DOI:10.32604/or.2024.056904 - 16 October 2024

Abstract This article has no abstract. More >

Grace Gau¹, Minerva Singh^2,3,*

Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

Mario Eugenio Sello^1,*, Rafael Adrian Maddio¹, Santiago Ignacio Hurtado¹, Daniel Alejandro Castillo¹, Daiana Vanesa Perri¹, Octavio Agusto Bruzzone², Marcos Horacio Easdale¹

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2479-2498, 2024, DOI:10.32604/phyton.2024.053168 - 30 September 2024

Abstract Adaptive management in arid and semi-arid regions of Patagonia, Argentina, requires a thorough understanding of vegetative dynamics, which can be obtained via rangeland assessment and monitoring. These practices are essential for decision-making to prevent environmental degradation, especially in the light of drought aggravated by climate change. In turn, most methods used to evaluate rangelands focus on data obtained from field measurements and vegetation classifications based on remote sensing data. One of the most frequent problems is that field-based rangeland assessments, based on field measurements, turn out to be expensive because they require high efforts in… More >

Liangwei Jiang^1,2, Wei Zhang², Hongyin Yang^1,2,3,*, Xiucheng Zhang¹, Jinghan Wu², Zhangjun Liu²

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 835-851, 2024, DOI:10.32604/sdhm.2024.051125 - 20 September 2024

Abstract Aiming at the problem that it is difficult to obtain the explicit expression of the structural matrix in the traditional train-bridge coupling vibration analysis, a combined simulation system of train-bridge coupling system (TBCS) under earthquake (MAETB) is developed based on the cooperative work of MATLAB and ANSYS. The simulation system is used to analyze the dynamic parameters of the TBCS of a prestressed concrete continuous rigid frame bridge benchmark model of a heavy-haul railway. The influence of different driving speeds, seismic wave intensities, and traveling wave effects on the dynamic response of the TBCS under More >