An experimental investigation was conducted at Delft University of Technology to examine the behavior of eight statically loaded extended end plate moment connections up to collapse. The parameters investigated were the end plate thickness (10 mm, 15 mm, and 20 mm) and steel grade of the end plate (S355, S690). While the study was limited to a static test, this investigation intends to analyze the dynamic behavior of the research specimens (FS1 to FS4) using finite element methods. The multi-purpose software Abaqus was used to develop the 3D model. The mechanical properties of these connections, including strength, ductility, and energy dissipation capacity, are examined. The cyclic loading is applied according to the JGJ 101-96 standard specification. The finite element model was validated against experimental tests for both static and dynamic conditions, successfully reproducing moment-rotation curves and simulating ductile damage as well. The results indicate that increased plate thickness corresponds to improved stiffness and strength, while the use of higher steel grades introduces a delayed yield point and may reduce ductility, which must be balanced to optimize performance considering specific design requirements and loading conditions. Our findings align with previous findings and underscore the need for a better understanding of joint behavior under dynamic loading for seismic design since the strain rate at which load is applied significantly affects the material properties, which can significantly affect the performance of blast-resistant structures.

An experimental investigation was conducted at Delft University of Technology to examine the behavior of eight statically loaded extended end plate moment connections up to collapse. The parameters investigated were the end plate thickness (10 mm, 15 mm, and 20 mm) and steel grade of the end plate (S355, S690). While the study was limited to a static test, this investigation intends to analyze the dynamic behavior of the research specimens (FS1 to FS4) using finite element methods. The multi-purpose software Abaqus was used to develop the 3D model. The mechanical properties of these connections, including strength, ductility, and energy dissipation capacity, are examined. The cyclic loading is applied according to the JGJ 101-96 standard specification. The finite element model was validated against experimental tests for both static and dynamic conditions, successfully reproducing moment-rotation curves and simulating ductile damage as well. The results indicate that increased plate thickness corresponds to improved stiffness and strength, while the use of higher steel grades introduces a delayed yield point and may reduce ductility, which must be balanced to optimize performance considering specific design requirements and loading conditions. Our findings align with previous findings and underscore the need for a better understanding of joint behavior under dynamic loading for seismic design since the strain rate at which load is applied significantly affects the material properties, which can significantly affect the performance of blast-resistant structures.

Maintenance, storage and warehousing are complex processes required in many industries such as automotive, aerospace, manufacturing and logistic companies. These processes, often, involve moving objects in crowded environments using robots or human operators. Particularly, replacement and assembly of machine parts in crowded environments when performed by a human being require high technical skills. These tasks may be performed using robots to reduce costs due to human errors and execution time. However, robots under open world assumptions could neither operate in all environments nor perform tasks not modeled by the designer. In this paper, we introduce a mixed reality system to assist human operators in moving objects in crowded environments for maintenance tasks such as: parts assembly or replacement, and storage of objects. The introduced system consists of a mobile application exploited through a hands-free VR box. The proposed Mixed Reality for Industrial Maintenance (MRIM) system enhances the perception of a human operator by overlaying 3D real world visual information and virtual objects, such as: orientation guidelines including rotating angles, moving direction and displacement of carried objects. These guidelines allow for gaining execution time, and reducing human errors that might cause industrial parts damage. The proposed work brings two main contributions. First, it makes use of a new algorithm based on recasting, named R star (R*) that allows for optimizing pathfinding in 3D space. This later outperforms the two commonly used baseline 3D pathfinding algorithms of at least 87.5% in terms of execution time. Second, MRIM provides an easy-to-use interface that exploits information provided by the R* algorithm. The experiments, conducted in real condition for the task of part replacement in a crowded environment, show that MRIM reduces considerably execution time and human errors.

Soil erosion is the main cause of siltation in dams, on the one hand, and it is one of the main causes of degradation of the agro-pedological heritage, on the other hand. In this context, this work aims to quantify the eroded soils and their spatial distribution in the watershed of Wadi El-Hai (Aurès, Algeria), reaching the Fontaines des Gazelles dam located at the outlet of this basin. The work focuses on mapping and analyzing various thematic maps representing the key erosion factors, linking the Revised Universal Soil Loss Equation (RUSLE), with the goal of producing a synthesis map providing a quantitative spatial representation of the extent of the phenomenon in the watershed. From this map, we can confirm that the erosion phenomenon affects the entire watershed of Wad El Hai. The most severe erosion, affecting 11.60 % of the expansive territory at rates exceeding 33.6 tons per year per hectare, is predominantly concentrated in mountainous regions marked by exceptionally steep slopes. Conversely, the majority, accounting for 64.23% of the entire expanse, is situated in the plains, where erosion rates are comparatively lower at 6.7 tons per hectare per year. The assessment of potential water erosion yields disconcerting outcomes, projecting an average annual loss rate of 15.38 tons per hectare throughout the entire catchment area. The results presented in this study will serve as a vital resource and a decision-making tool, supporting the management and preservation of natural resources by policymakers and stakeholders.

Software has been developed using the MATLAB language to analyze laser diode having the architecture InGaAsP/InP .The cavity length of active region of multi quantum well semiconductor laser effect on threshold current, quantum efficiency and optical output power of InGaAsP/InP and separate confinement heterostructure (SCH) is investigated. High-speed communication systems, especially those that use optical fiber communication for high-speed data transmission, use lasers with a wavelength of 1.55 μm. here, the performance of changing the cavity length values of active region between 250 to 500 μm at room temperature is study in this work. The characteristics power–current (P–I)and related features, threshold current and slope efficiency have been investigated. The threshold current decreases with increase of cavity lengths because the carrier density in the quantum well is very high. This effect is particularly pronounced in the shortest cavity measured (250μm), we extractIth=6.25ma,αi=30mA and ηd=63%. These modifications show that our proposed structure is better compared to the GaInP/GaAs 5QW laser structure (Ith=360mA and ηd=51%).

Two hypotheses divide experts on determining the effective properties of composite materials using multi–scale homogenization methods. The first hypothesis states that multi-scale homogenization methods can ensure the direct determination of effective properties, at the macro level, of composite materials from a single representation of the medium at the lowest possible scale that allows for a good representation of all heterogeneities. The second hypothesis states that the determination cannot be ensured directly from a single scale but rather through multistep homogenization where each step represents the medium at a different scale from the lowest to the macroscale. To answer this question, a rigorous study is carried out; it includes calculating the two effective elastic properties, bulk, and shear moduli of three phases of a multi–layered sphere composite model by studying three phases. A multistep homogenization method is used to determine the effective properties of the composite and the obtained results are compared with those of the direct homogenization. Two different studies are considered: the first is based on an analytical model and the second on the numerical homogenization based on finite element calculation. To consider the effect of some influential parameters, several situations are treated by the combination of the variation of the volume fractions of the three phases and their property contrasts. The analytical calculations are performed using the Python 3.10 commercial software. It could be concluded that the effective elastic properties obtained either by the multistep or by the direct homogenization show no significant difference.

The study aimed at analyzing the non- verbal behaviors of secondary school teachers of P.E physical education and sport during the preparatory session. The two researchers have used the descriptive analytical method, through regular observation of the teaching behavior between the teacher and the student .The sample of the study was 8 teachers who were selected in an intentional way, by using the observation grid as a tool of study. The study concluded that the teacher’s non- verbal behaviors, differ according to their experiences, while the type of sports activity being taught to students has no effect on the form of the non-verbal behaviors of the teachers.

La présente étude s’intéresse à la littérature scientifique qui s’est faite autour du penseur algérien Malek Bennabi (1905-1973) en ce début du 21e siècle. Son objectif est de vérifier l’authenticité du prétendu retour de la pensée bennabienne sur la scène académique et intellectuelle, ainsi que de mesurer le degré d’intérêt que les chercheurs lui portent à travers le monde, notamment en Algérie avec l’apparition de plusieurs inédits pendant cette même période. Pour cela, un état des lieux a été entrepris, en posant comme cadre chronologique la période qui va de l’an 2000 jusqu’à 2022. Le recensement des données bibliographiques, illustré par des tableaux et des représentations graphiques, s’est fait selon plusieurs plans : le nombre ainsi que les nationalités des chercheurs, les pays depuis lesquels les travaux ont été publiés, les types de documents (livres, thèses, conférences, etc.), les catégories de ces travaux (sociologie, économie, religion, etc.) ainsi que les langues dans lesquelles ils ont été exprimés. Les résultats de cette étude révèlent un phénomène de pluralité, voire de cosmopolitisme, et un taux de publication croissant au cours des années.

La présente étude s’intéresse à la littérature scientifique qui s’est faite autour du penseur algérien Malek Bennabi (1905-1973) en ce début du 21e siècle. Son objectif est de vérifier l’authenticité du prétendu retour de la pensée bennabienne sur la scène académique et intellectuelle, ainsi que de mesurer le degré d’intérêt que les chercheurs lui portent à travers le monde, notamment en Algérie avec l’apparition de plusieurs inédits pendant cette même période. Pour cela, un état des lieux a été entrepris, en posant comme cadre chronologique la période qui va de l’an 2000 jusqu’à 2022. Le recensement des données bibliographiques, illustré par des tableaux et des représentations graphiques, s’est fait selon plusieurs plans : le nombre ainsi que les nationalités des chercheurs, les pays depuis lesquels les travaux ont été publiés, les types de documents (livres, thèses, conférences, etc.), les catégories de ces travaux (sociologie, économie, religion, etc.) ainsi que les langues dans lesquelles ils ont été exprimés. Les résultats de cette étude révèlent un phénomène de pluralité, voire de cosmopolitisme, et un taux de publication croissant au cours des années.

The targeted resorption of socio-economic deficits at the local (municipal) level requires the use of a cartography of development in the multidimensional sense of the term, combined with that of the causes structural factors of its possible delay. This article provides for this purpose a municipal cartography of the development of M’sila province, and its sources assimilated to education, standard of living, economic activity, housing and social services. To ensure a certain objectivity in our research, we have chosen an automatic technique following the essential steps (choice of variables, normalization, weighting and aggregation) in the hierarchical classification of municipalities. This mapping of multidimensional local development clearly shows the development deficits at the municipal level, due to the delays accumulated for years, despite the generalization of basic education and attempt the local authorities to improve the economic and social conditions of the population. The results obtained show that on the whole, the urban municipalities have a local development index higher than 0.7 and rank in the first places, this index goes from a minimum (0.310) observed in the rural municipalities Tamsa, Zerzour, Sidi M’hammed and the ones located south of the province where the climate is dry and hot, the maximum index (0.860) recorded in two urban municipalities at namely M’sila and Bousaada, The high variability of development deficits shows that any development strategy would benefit from being rethought in order to provide more effective to the different situations experienced by rural municipalities in particular.

In an increasingly interconnected world, the intricacies of cross-cultural communication and language acquisition are of a crucial importance. Contrastive Rhetoric theory offers valuable insights into how rhetorical patterns are transferred from L1 to L2. While previous studies acknowledge the influence of culture on rhetoric, they often overlook the reasoning mechanisms shaping rhetorical choices. The present research addresses this gap within the context of Arabic discourse, focusing on Algerian academic corpus, by shifting the focus from surface cultural manifestations to the fundamental reasoning embedded within Arab culture. This study contributes to a deeper understanding of how major Arabic rhetorical patterns, including paraphrase, lexical couplets, and parallelism, are transferred to English compositions by Algerian students.

Recent climatic shifts and the growth of agricultural land have escalated the incidence of wheat field fires, presenting severe risks to both food security and local economies. This study aims to develop advanced predictive models to effectively forecast significant wheat fires in Barika, Algeria. We utilized a comprehensive dataset spanning from 2015 to 2023, which includes information on fire incidents and meteorological factors like temperature, humidity, precipitation, and wind speed. A sophisticated ensemble machine learning model was crafted, combining Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Random Forest (RF) in a stacked configuration to predict wheat fire events. Our analysis indicates that the ensemble model significantly outperforms traditional single-model approaches in terms of both accuracy and reliability. Employing these cutting-edge predictive techniques significantly bolsters firefighting measures, enhances resource management, and reduces the adverse effects of fires in agricultural zones. The employment of ensemble learning highlights its utility as a formidable tool in environmental management and crisis response. With more precise forecasts, this model facilitates improved emergency preparedness and strategic intervention plans, aiming to safeguard essential agricultural assets and support rural communities against the backdrop of mounting environmental pressures.

The article focuses on the generalization of Fuglede's theorem and the solvability of operator equations. Topics include extending Fuglede's theorem to non-normal operators, deriving criteria for solving operator equations such as AX − XB = C, and using inner inverses to establish necessary and sufficient conditions for operator equation solutions.

A Vertical Axis Wind Turbine (VAWT) comprises multiple parts constructed from different materials. This complexity presents challenges in designing the blade structure. In this study, we investigated a structural optimization of a small-scale blade for a VAWT, with Finite Element Analysis (FEA) model. The purpose is to minimize the blade mass while adhering to a suite of critical wind conditions according to the IEC 61400-2 Standard. The structure made from Aluminum material simulates structure’s global behavior to determine maximum stress and deflection levels. The same structure is modeled using Glass/Epoxy composite for optimizing its design. Twenty combinations of Glass/Epoxy layers, varying in ply thickness and orientation, are simulated to find the most suitable combination. Results demonstrated that the optimization case [45°/90°/0°/−45°] obtained the minimum values of stress and deflection, is 59% lighter than Aluminum blade (initial design). The designed Glass/Epoxy composite blade is acceptable and recommended for structural safety.

Reservoir dams in Algeria face reduced lifespans and diminished water resources due to sedimentation, which often leads to out-of-service states. To address this issue, topo-bathymetry has been identified as the preferred technique for predicting silting in dam basins. Consequently, the seek for optimal interpolation methods to conduct topo-bathymetric surveys has become increasingly important. This study compares two primary interpolation methods, deterministic and geostatistical, to determine the most effective approach for these surveys. Three specific techniques were examined in this research: inverse distance weighting, radial basis function (deterministic), and ordinary kriging (geostatistical). The study focused on five reservoir dams in Algeria, using cross-validation to assess the performance of each interpolation method. The results revealed that the geostatistical approach outperformed deterministic estimations across all five sites. The superiority of the geostatistical method was further supported by the performance metrics used in the study. Based on these findings, ordinary kriging emerged as the most suitable method for interpolating topo-bathymetric surveys for all sites, regardless of variations in morphology and spatial sampling density. This research contributes valuable insights for enhancing reservoir dam management in Algeria in order to optimize water resource allocation.

Water resources are facing significant challenges in result of rapidly growing demand, deteriorating quality, and the effects of climate change. Today, water quantity and quality issues have become prevalent in various regions across the globe, affecting both northern and southern territories. Among the sectors reliant on this resource, irrigation stands out as the largest consumer of water. When surface water becomes inaccessible due to insufficient precipitation or other factors, the use of groundwater becomes the only viable alternative for irrigation. The Remila Plain (Khenchela) is located in an endorean watershed in northeastern Algeria and extends over 250 km2 in a synclinal basin filled with water from the Mio-Plio Quaternary - the main aquifer of the region, widely used for irrigation. The aim of this work is to study the hydrochemistry of these waters, as well as the evolution of mineralisation, the identification of the origin of the chemistry, and the suitability of these waters for irrigation. Initial results indicate an evolution of mineralisation in the direction of groundwater flow, with electrical conductivity values varying between 1000μS/cm in the recharge zones, and 2700μS/cm at the outlet. This mineralisation is mainly due to the dissolution of evaporitic minerals and the alteration of silicates. In addition, the various water quality indices used indicate that the water can be used for irrigation without major risk to plants and soils.

Inspired by a real-work case, this paper introduces a profit maximization model for dynamic lot sizing considering substitution and multiple usage of returns for refurbishing at different levels of quality or for disassembly to extract key parts that will be used in the manufacturing process. This model allows studying the interactions between different types of returns and decisions. To analyze the impact of uncertainty on these interactions, we develop a robust two-stage stochastic program with uncertainty on demands and returns. The resulting problems are mixed-integer linear programs that we solve using an efficient relax-and-fix and fix-and-optimize heuristic. Extensive numerical experiments are conducted to study the different trade-offs when integrating multi-usage of returns with substitution and accordingly derive managerial insights. The experiments have revealed, for example, that: (i) the profit margin of the refurbished items is the main determinant of the total profit and when such margin in high, the total profit becomes more sensitive to different cost variations; (ii) collection efficiency becomes very sensitive to collection cost and much less sensitive to refurbishing cost especially with large profit margins; (iii) when demand and returns are uncertain parameters, substitution becomes the best option as uncertainty and prices increase; (iv) when the gap between prices of different quality levels is high, lost sales occur mainly on the lowest quality product and downgrading decreases together with substitution; and (v) Sharing the production line between refurbishing and manufacturing for low-quality products is highly motivated by small upgrading costs and their substitution level increases with increasing upgrading costs.

Introduction/purpose : This study investigates the seismic response of longspan continuous deck truss bridges under the effect of near-fault vertical ground motions. The primary objective is to assess how near-fault vertical seismic excitation affects the structural safety and performance of these bridges. By exploring the nuanced dynamics induced by near-fault vertical motions, the research aims to improve the understanding of the vulnerabilities and challenges faced by long-span continuous deck truss bridges during seismic events.

Methods : To achieve this objective, the truss bridge was subjected to a series of ground motions, representing natural seismic events. The seismic response of the bridge was investigated by applying the linear time history method to the 3D finite element model. This analysis focused specifically on the evaluation of base shear and displacement. The analysis was extended to include the seismic performance of truss structures. The comparison between the bridge responses with and without consideration of the vertical component of ground motion was made to clarify the effect of vertical excitation.

Results : The results show that there is a significant contribution of vertical excitation, particularly concerning the internal force in the truss elements, where it exceeded 60 % during a severe earthquake, and consequently increased the demand-to-capacity ratio in most elements of the truss bridge structure.

Conclusion : For structural engineers and designers, the results of this research suggest that neglecting to include the vertical ground motion component in the analytical assessments of this type of bridges can lead to a greater degree of uncertainty and risk, particularly in near-fault regions.

This paper studies the phenomenon of hydraulic jump in compound channels using a numerical model and provides remarkable results. Several values of the opening parameter, h1, are utilized to generate the hydraulic jumps. A recirculation zone is detected by studying the RNG-K-Ɛ turbulent Volume Of Fluid (VOF) model, which is distinguished by the modified directions of the velocity vectors. When comparedwith the experimental values, the numerical simulation demonstrated very good accuracy, with an error of no more than 9.4%. The results underline the reliability and usefulness of the VOF turbulence model for understanding and simulating the hydraulic processes in compound channels.

Background and Objective: Plants of the genusMarrubium are used to cure several infectious diseases like asthma, rheumatoid and diabetes.This study investigatedin vivo antihyperglycemic capacity of the methanolic fraction (MeOHE) of twoMarrubium species via animal model.Materials and Methods: The plant extracts were investigated both qualitatively and quantitatively to reveal their phytochemical composition.Pharmacologically speaking, Wistar albino rats of either sex (150-180 g) were used to investigate the antidiabetic effect using 25 rats in each ofthe two used approaches; respectively Oral Glucose Tolerance Test (OGTT) and streptozotocin-induced diabetes approaches. In addition, variousbiochemical parameters were investigated to confirm the pharmacological quality of our plants. Evaluated for their possible antidiabetic effectduring two consecutive weeks for glycemia levels (2 hrs period). Results: Data revealed that MeOHE induced a significant antihyperglycemic effect,in whichM. deserti, a slight decrease in the glucose level at (143±0.5 mg/dL) was obtained while a reduction was recorded forM. vulgare(71.5±0.75 mg/dL) with a same observation for triglycerides, cholesterol, glutamic-oxaloacetic transaminase (TGO), glutamic pyruvic transaminase(TGP), creatinine comparing to standard. Moreover, the result showed high levels of phenolic and flavono{\"ıds content. Conclusion: This modestwork confirmed once again the real pharmacological capacity of vegetals and their possible implication to cure diabetes and complications relatedto it underlying the antihyperglycemic activity of these plants.