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Through a qualitative research with in-depth interviews with Tunisian travellers and netnography on travel related blogs, we aim to investigate how connected technologies modified imaginaries in the travel experience through the (non)sharing behaviour. Findings demonstrate a related expressed paradoxical behaviour swinging between 'self-promotion' and 'evil eye': the former being the desire to be socially visible and included, and the latter is the fear of being jinxed by others. Accordingly, we identify five different travellers' profiles. We conclude that paradoxical social imaginaries of both worldviews can coexist within the travel experience, leading to an incredible complexity and a continuous oscillation between both. [ABSTRACT FROM AUTHOR]

In this present work, photocatalysts based on a new pyrochlore-type solid solution were prepared using the ceramic method at 1000°C. X-ray diffraction (XRD) analysis shows the existence of a solid solution with pyrochlore structure Bi1.5Sb1.5Zn1–xCuxO7 (0 ≤ x ≤ 1). Scanning Electron Microscope (SEM) images exhibited a slight difference in the external morphology of the samples. The UV-diffuse measurement revealed a change in the absorbance from the UV part for the zinc-rich compound to the visible part for the copper-rich compound. The Energy band gap values were between 3.15 and 1.84 eV. The photocatalytic activity of these prepared mixed oxides was studied for the photo-degradation of the dye Orange II (ORII) as an organic pollutant, in the presence of hydrogen peroxide (H2O2) as an oxidising agent, under sunlight irradiation, by varying different parameters such as the catalysts mass, the oxidant volume, the concentration of the pollutant and the pH. The experimental results obtained by UV-visible spectroscopy revealed that the removal efficiency of ORII increased with increasing the irradiation time for all tested photocatalysts. The pseudo-first-order kinetic model gave the best fit, with the highest correlation coefficients (R2 = 0.99). The results of this study revealed the potential and various advantages of these new efficient photocatalysts. [ABSTRACT FROM AUTHOR]

Using the variational methods, this paper is concerned with the existence and non-existence results to a class of elliptic equation with singular term on compact Riemannian manifold. In the context of complete, non-compact and non parabolic manifold, we obtain the non-existence result of solution for this type of elliptic problems. [ABSTRACT FROM AUTHOR]

Objective: Recreational cannabis legalization (RCL) is expanding rapidly. RCL's effects on mental health issues are of particular concern because cannabis use is more frequent among people receiving psychiatric care and is associated with several psychiatric disorders. The authors conducted a scoping review to examine the evidence and discern gaps in the literature concerning the effects of RCL on mental health and to assess the factors responsible for an observed heterogeneity in research results. Methods: This scoping literature review followed PRISMA guidelines. Five databases—MEDLINE, CINAHL, Embase, APA PsycInfo, and Web of Science—were searched for English- or French-language reports published between January 1, 2012, and April 30, 2023. Results: Twenty-eight studies from the United States and Canada were found. The studies were classified by category of the study's data (patients receiving psychiatric care [k=1], death records [k=4], emergency department or hospital records [k=10], and the general population [k=13]) and by the diagnosis (schizophrenia or psychoses, mood disorders, anxiety disorders and symptoms, suicide or suicidal ideation, or other mental health issues) examined. The review findings revealed a paucity of research and indicated mixed and largely inconclusive results of the studies examined. Research gaps were found in the examination of potential changes in cannabis use patterns among people receiving psychiatric care and in the availability of longitudinal studies. Conclusions: Clinicians, researchers, and policy makers need to collaborate to address the research gaps and to develop evidence-based policies that reflect a thorough understanding of the effects associated with RCL. [ABSTRACT FROM AUTHOR]

This work presents the preparation of a gold-polypyrrole (Au-PPy) composite film on a silicon (Si) semiconductor supported by electrodeposition, and the study of its electrocatalytic activity as an anode catalyst for the glucose oxidation reaction in alkaline media. The microstructure of the as-prepared Au-PPy film is characterized by scanning electron microscopy (SEM) and atomic force microscopy (AFM). The results show that the presence of the polymer film on the Si support improves the conductivity of the latter and enables better distribution of the Au microparticles on the electrode surface, thus helping to increase their catalytic activity for glucose oxidation. [ABSTRACT FROM AUTHOR]

Purpose: Meningeal solitary fibrous tumour (SFT) and haemangiopericytoma (HPC) are uncommon tumours that have been merged into a single entity in the last 2021 WHO Classification of Tumors of the Central Nervous System. To describe the epidemiology of SFT/HPC operated in France and, to assess their incidence. Methods: We processed the French Brain Tumour Database (FBTDB) to conduct a nationwide population-based study of all histopathologically confirmed SFT/HPC between 2006 and 2015. Results: Our study included 399 SFT/HPC patients, operated in France between 2006 and 2015, in one of the 46 participating neurosurgical centres. The incidence reached 0.062, 95%CI[0.056–0.068] for 100,000 person-years. SFT accounted for 35.8% and, HPC for 64.2%. The ratio of SFT/HPC over meningioma operated during the same period was 0.013. SFT/HPC are about equally distributed in women and men (55.9% vs. 44.1%). For the whole population, mean age at surgery was 53.9 (SD ± 15.8) years. The incidence of SFT/HPC surgery increases with the age and, is maximal for the 50–55 years category. Benign SFT/HPC accounted for 65.16%, SFT/HPC of uncertain behaviour for 11.53% and malignant ones for 23.31%. The number of resection progresses as the histopathological behaviour became more aggressive. 6.7% of the patients with a benign SFT/HPC had a second surgery vs.16.6% in case of uncertain behaviour and, 28.4% for malignant SFT/HPC patients. Conclusion: Meningeal SFT and HPC are rare CNS mesenchymal tumours which both share common epidemiological characteristics, asserting their merging under a common entity. SFT/HPC incidence is less that one case for 1 billion per year and, for around 100 meningiomas-like tumours removed, one SFT/HPC may be diagnosed. SFT/HPC are equally distributed in women and men and, are mainly diagnosed around 50–55 years. The more aggressive the tumour, the higher the probability of recurrence. [ABSTRACT FROM AUTHOR]

The corrosion-inhibiting effect of vanillin molecule (VAN) and its protonated ( VANH + ) and deprotonated ( VAND - ) forms was investigated to evaluate the relationship between molecule structures and their associated efficiencies using density functional theory (DFT). The primary objective is to establish a comprehensive understanding of the relationship between molecular structures and their corrosion-inhibiting efficiencies. Global and local reactivity descriptors based on conceptual density functional theory (DFT), including the highest occupied molecular orbital energy (EHOMO), the lowest unoccupied molecular orbital energy (ELUMO), energy gap (ΔEgap), global hardness (η), global softness (σ), global electrophilicity (ω), electro-donating power ( ω - ), electro-accepting power ( ω + ), and Hirshfeld Fukui indices, have been investigated. The central aim of the present study is to elucidate the adsorption mechanism and provide a clear understanding of how these inhibitors interact with the Al(111) surface under different conditions. Molecular dynamics simulations in solid-state physics were employed to explore the adsorption mechanism of inhibitors in their neutral, protonated, and deprotonated species onto the Al(111) surface. The predicted adsorption suggests that the studied inhibitors for both parallel and perpendicular orientations decrease in the order VAND - > VAN > VANH + . The VAN molecule can adsorb on the Al(111) surface in various orientations, both parallel and perpendicular, as well as using different sides of the molecule. The parallel adsorption of VAN and VAND - inhibitors on the Al(111) surface occurs primarily due to the creation of an Al‒O bond, while the VANH + form adheres to the Al(111) surface through the formation of an Al‒C bond. Furthermore, the adsorption of the neutral VAN on the Al(111) surface is not only via the oxygen atom but also through the carbon C7 atom of the carbonyl group. [ABSTRACT FROM AUTHOR]

Cluster analysis has been widely studied due to its importance and several methods have been developed for this purpose. However, these methods are designed to process on centralized data. In this paper, we present an asynchronous approach based on topological relationship. The proposed approach unfolds on three steps: First, each site searches for clusters (models) of its local data. Secondly, a central site proceeds to the analysis and search for the partition of the whole (the global model). Finally, we proceed with the search for the right number of groups of the global model. We note that each local data has their own number of clusters and it can be different from the number of clusters in the entire data. The experiments have clearly demonstrated the effectiveness of the proposed approach to find the partition closest to that obtained on the data set from its subsets. [ABSTRACT FROM AUTHOR]

This paper introduces an innovative concentration inequality for Extended Negative Dependence (END) random variables, providing new insights into their almost complete convergence. We apply this inequality to analyze END variable sequences, particularly focusing on the first-order auto-regressive (AR(1)) model. This application highlights the dynamics and convergence properties of END variables, expanding the analytical tools available for their study. Our findings contribute to both the theoretical understanding and practical applications of END variables in fields such as finance and machine learning, where understanding variable dependencies is crucial. [ABSTRACT FROM AUTHOR]

The utilization of recycled iron in durable concrete production has gained attention for enhancing sustainability and resource efficiency. Simultaneously, incorporating nanoparticles as supplementary cementitious materials (SCMs) offers significant benefits. Introducing nano-sized iron particles (Fe2O3) into the cement paste results in a compact microstructure, improving strength, and durability. In this study, we investigate the bending behavior of concrete slabs reinforced with Fe2O3 nanoparticles using the non-local quasi-3D shear deformation theory based on Eringen's non-local differential constitutive relations. To characterize the elastic material properties of the nanocomposite, we employ Eshelby's homogenization model. In order to extend the applicability of our findings, we assume that the concrete plate rests on Kerr's foundation, which includes a shear layer connected to upper and lower springs. By deriving the equations of motion using the principle of virtual work, we establish a comprehensive framework for analyzing the bending of the concrete plate. To solve the equilibrium equations for a simply supported concrete plate, we present Navier's analytical solutions. Our investigation considers various influential parameters, such as the concentration of Fe2O3 nanoparticles in the concrete matrix, the elastic constants of the soil medium, different types of bending loads, and size-dependent nonlocal parameters. One of the most captivating findings of this study is that the incorporation of 30 wt% of iron nanoparticles in concrete leads to a remarkable improvement of 60% in the elastic properties of the material. Additionally, this same amount of iron nanoparticles has shown the potential to reduce the deflection of thin plates by over 60%. [ABSTRACT FROM AUTHOR]

Algeria hosts seven species of the Columbidae family, including pigeons and doves, the majority of which have been the subject of numerous studies, but none have been conducted on the Stock Dove (Columba oenas). Data on this species are still scarce, and its distribution is limited only to Kabylie in northern Algeria. Species occurrence data were collected from September 2022 to August 2023 using the point count method. However, the species was recently recorded in several new localities (20 stations) in West Algeria, at Sidi Bel Abbès and Tlemcen. All our observations were made in a semi-arid bioclimatic area at an altitude ranging between 750 and 1,216 m. Nesting sites were located on woodland and forest edges, not far from water sources, and feeding sites were located in open, natural, or agricultural environments where cereal seeds, grasses, flower buds, and young green shoots were consumed. It could also cohabit with other species of pigeons and doves. [ABSTRACT FROM AUTHOR]

Objective: The aim of this review was to compare various types of restorations used in children and young adults affected with amelogenesis imperfecta (AI) to determine the most effective restorative treatment. Methods: This systematic review included randomized controlled trials, retrospective and prospective cohorts conducted on children and young adults diagnosed with amelogenesis imperfecta and written in French or English. A systematic search was conducted using four databases, namely Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE via PubMed, Science Direct and Scopus, using a selection of MeSH terms: "Amelogenesis Imperfecta," "Therapeutics," "Treatment Outcome," "Adult, young," "Child," "Dental Restoration, Permanent," "Dental Restoration, Temporary," and "Esthetics, Dental." Results: Out of 138 articles identified in the initial search, four articles met all the inclusion criteria. The results showed that ceramic restorations had better quality scores and longevity compared to other restorations. Conclusion: Ceramic restorations could be considered the restorative treatment modality of choice for AI‐affected children and young adults. However, more high‐quality clinical trials involving young patients affected with AI are required to evaluate and compare the outcomes of different restorative approaches. Clinical Significance: Young patients affected with amelogenesis imperfecta usually suffer from low self‐esteem, psychological problems and social avoidance, caused by the alteration of teeth such as discoloration, sensitivity, fractures and reduced size. For the dentist, selecting the appropriate restorative treatment for AI in young patients could be a veritable challenge. Therefore, it is important to have an evidence‐based modality. For this reason, in this review, the different restorative approaches used in AI‐affected young patients were compared to recommend the most effective treatment. [ABSTRACT FROM AUTHOR]

For a long time now, cigarette smoking has been recognized as a primary source of toxic chemical exposure for people. Among said toxic chemicals, VOCs are identified as being the highest contributing category to the overall toxicity of cigarette smoke. Thus, in this review an identification of the various VOCs present in cigarette smoke (mainstream, sidestream and environmental tobacco smoke) was first conducted, followed by a survey of the different factors affecting their emission level. Then, a study of the presently used techniques for the abatment of cigarette smoke-derived VOCs was performed. Finally, an assesment of some potentially interesting catalytic systems for the reduction of VOCs emission was carried out. [ABSTRACT FROM AUTHOR]

Copyright of Przegląd Elektrotechniczny is the property of Przeglad Elektrotechniczny and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background and Objectives: Meningioma is one of the most common neoplasm of the central nervous system. To describe the epidemiology of meningioma operated in France and, to assess grading and histopathological variability among the different neurosurgical centres. Methods: We processed the French Brain Tumour Database (FBTDB) to conduct a nationwide population-based study of all histopathologically confirmed meningiomas between 2006 and 2015. Results: 30,223 meningiomas cases were operated on 28,424 patients, in 61 centres. The average number of meningioma operated per year in France was 3,022 (SD ± 122). Meningioma was 3 times more common in women (74.1% vs. 25.9%). The incidence of meningioma increased with age and, mean age at surgery was 58.5 ± 13.9 years. Grade 1, 2, and 3 meningiomas accounted for 83.9%, 13.91% and, 2.19% respectively. There was a significant variability of meningioma grading by institutions, especially for grade 2 which spanned from 5.1% up to 22.4% (p < 0.001). Moreover, the proportion of grade 2 significantly grew over the study period (p < 0.001). There was also a significant variation in grade 1 subtypes diagnosis among the institutions (p < 0.001). 89.05% of the patients had solely one meningioma surgery, 8.52% two and, 2.43% three or more. The number of surgeries was associated to the grade of malignancy (p < 0.001). Conclusion: The incidence of meningioma surgery increased with age and, peaked at 58.5 years. They were predominantly benign with meningothelial subtype being the most common. However, there was a significant variation of grade 1 subtypes diagnosis among the centres involved. The proportion of grade 2 meningioma significantly grew over the study time, on contrary to malignant meningioma proportion, which remained rare and, stable over time around 2%. Likewise, there was a significant variability of grade 2 meningioma rate among the institutions. [ABSTRACT FROM AUTHOR]

Purpose: The authors examine the effect of climate risk on accounting conservatism for a sample of listed companies operating in 26 developing countries. Design/methodology/approach: The authors employ the Climate Risk Index (CRI) developed by Germanwatch to capture the severity of losses due to extreme weather events at the country level. The authors use different approaches to measure firm-level accounting conservatism. Findings: The authors find that greater climate risk leads to a lower level of accounting conservatism. The results hold even after using different estimation methods. Research limitations/implications: Although the authors' analysis is limited to the period 2007–2016, it could be helpful for standard setters such as International Accounting Standards Board (IASB) and International Sustainable Standards Board (ISSB) as they may consider the potential effect of climate risk in their international standards. Practical implications: The negative impacts of climate risk on the quality of financial reporting as proxied by accounting conservatism could trigger regulators and standard setters to require disclosure of information relating to climate risks and to incorporate climate-related risks in their risk management systems. In addition, for policymakers, incorporating accounting conservatism as a financial quality reporting standard could help promote greater transparency, accuracy and reliability in financial reporting in the context of climate risk. Originality/value: The authors add to the literature on international differences in accounting conservatism by showing that climate risk significantly affects unconditional and conditional conservatism. The authors' results provide fresh evidence of the dark side of climate change. That is, climate risk is shown to decrease financial reporting quality. [ABSTRACT FROM AUTHOR]

Copyright of Management international / International Management / Gestiòn Internacional is the property of Management International and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background & Objectives: American foulbrood (AFB), caused by the highly virulent, spore-forming bacterium Paenibacillus larvae, poses a significant threat to honey bee brood. The widespread use of antibiotics not only fails to effectively combat the disease but also raises concerns regarding honey safety. The current computational study was attempted to identify a novel therapeutic drug target against P. larvae, a causative agent of American foulbrood disease in honey bee. Methods: We investigated effective novel drug targets through a comprehensive in silico pan-proteome and hierarchal subtractive sequence analysis. In total, 14 strains of P. larvae genomes were used to identify core genes. Subsequently, the core proteome was systematically narrowed down to a single protein predicted as the potential drug target. Alphafold software was then employed to predict the 3D structure of the potential drug target. Structural docking was carried out between a library of phytochemicals derived from traditional Chinese flora (n > 36,000) and the potential receptor using Autodock tool 1.5.6. Finally, molecular dynamics (MD) simulation study was conducted using GROMACS to assess the stability of the best-docked ligand. Results: Proteome mining led to the identification of Ketoacyl-ACP synthase III as a highly promising therapeutic target, making it a prime candidate for inhibitor screening. The subsequent virtual screening and MD simulation analyses further affirmed the selection of ZINC95910054 as a potent inhibitor, with the lowest binding energy. This finding presents significant promise in the battle against P. larvae. Conclusions: Computer aided drug design provides a novel approach for managing American foulbrood in honey bee populations, potentially mitigating its detrimental effects on both bee colonies and the honey industry. [ABSTRACT FROM AUTHOR]

The modeling of moving solid particles in fluid flow has been the focus of many studies and has succeeded to attract significant attention from researchers. However, commonly used modeling approaches such as discrete element modeling (DEM) and direct numerical simulations (DNS) lack simplicity and have been computationally intensive. The aim of this paper is to develop a new approach to simulate solid transport in an incompressible Newtonian fluid flow. This method is based on the Finite element method with penalization of the deformation tensor. The fluid behavior is governed by the Navier-Stokes equations within the investigation domain. To take into account collisions, we present an algorithm which allows us to handle contacts between rigid particles. In this paper, 2D fluid/particles flow simulations are performed; the results are validated by comparison with results from other methods. We attempt to simulate the conveying of solid particles behavior of circular particles in a fluid flow inside a pipe. The numerical tests show that the present method provides a very efficient approach to directly simulate the solid transport inside the channels. [ABSTRACT FROM AUTHOR]

This project focuses on the examination and design of a medically relevant component, specifically a dental prosthesis, using the method of reverse engineering. Reverse engineering involves a thorough analysis of an existing piece to understand its functioning and specifications, with the aim of creating an improved or adapted version. In the medical context, this approach is employed to develop a specific component with medical significance. This study explores the steps of this process, emphasizing detailed understanding, design, and implementation of this dental prosthesis, with a particular focus on its utility and importance in the medical field. [ABSTRACT FROM AUTHOR]

Copyright of Military Technical Courier / Vojnotehnicki Glasnik is the property of Military Technical Courier / Vojnotehnicki Glasnik and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Analyzing the real impact of spatial dependency in financial time series data is crucial to financial risk management. It has been a challenging issue in the last decade. This is because most financial transactions are performed via the internet and the spatial dependency between different international stock markets is not standard. The present paper investigates functional expectile regression as a spatial financial risk model. Specifically, we construct a nonparametric estimator of this functional model for the functional single index regression (FSIR) structure. The asymptotic properties of this estimator are elaborated over general spatial settings. More precisely, we establish Borel-Cantelli consistency (BCC) of the constructed estimator. The latter is obtained with the precision of the convergence rate. A simulation investigation is performed to show the easy applicability of the constructed estimator in practice. Finally, real data analysis about the financial data (Euro Stoxx-50 index data) is used to illustrate the effectiveness of our methodology. [ABSTRACT FROM AUTHOR]

Over the past two decades, there has been a growing interest in the role of universities in developing generic skills, in addition to disciplinary ones, to help students adapt to a changing workplace. The need to develop these skills is particularly critical for healthcare students who must face challenges in health systems. This scoping study, following Arksey and O'Malley's ([2005]. Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32. https://doi.org/10.1080/1364557032000119616) method provides an overview of the scientific literature on generic skills in health studies. The definitions, categorizations, and measurement tools from 43 articles were mapped and summarized and gaps were identified. Definitions and terms were varied but overall, generic skills are considered cross-disciplinary and cross-professional. Nevertheless, the term skill itself was not defined. The lack of consensus on categorization and assessment led us to propose a typology to group all the skills mentioned into four categories: personal, ideas and object-related, interpersonal and community-related skills. One conclusion is that generic skills are valued foremost in relation to labor market demands with an emphasis on skills such as knowledge, communication, and planning over ethical and citizenship skills that are essential for future healthcare professionals. It is imperative to consider generic skills that are necessary to face the complex challenges of today's world. [ABSTRACT FROM AUTHOR]

Purpose: Reducing aircraft fuel consumption has become a paramount research area, focusing on optimizing operational parameters like speed and altitude during the cruise phase. However, the existing methods for fuel reduction often rely on complex experimental calculations and data extraction from embedded systems, making practical implementation challenging. To address this, this study aims to devise a simple and accessible approach using available information. Design/methodology/approach: In this paper, a novel analytic method to estimate and optimize fuel consumption for aircraft equipped with jet engines is proposed, with a particular emphasis on speed and altitude parameters. The dynamic variations in weight caused by fuel consumption during flight are also accounted for. The derived fuel consumption equation was rigorously validated by applying it to the Boeing 737–700 and comparing the results against the fuel consumption reference tables provided in the Boeing manual. Remarkably, the equation yielded closely aligned outcomes across various altitudes studied. In the second part of this paper, a pioneering approach is introduced by leveraging the particle swarm optimization algorithm (PSO). This novel application of PSO allows us to explore the equation's potential in finding the optimal altitude and speed for an actual flight from Algiers to Brussels. Findings: The results demonstrate that using the main findings of this study, including the innovative equation and the application of PSO, significantly simplifies and expedites the process of determining the ideal parameters, showcasing the practical applicability of the approach. Research limitations/implications: The suggested methodology stands out for its simplicity and practicality, particularly when compared to alternative approaches, owing to the ready availability of data for utilization. Nevertheless, its applicability is limited in scenarios where zero wind effects are a prevailing factor. Originality/value: The research opens up new possibilities for fuel-efficient aviation, with a particular focus on the development of a unique fuel consumption equation and the pioneering use of the PSO algorithm for optimizing flight parameters. This study's accessible approach can pave the way for more environmentally conscious and economical flight operations. [ABSTRACT FROM AUTHOR]

This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of electronic advertising in Saudi Arabia. The main purpose of this research is to explore the impact of internet advertising on companies' visits to stores through an exploratory study. The systematization of literary sources and approaches for solving electronic advertising problems indicates that new mediating and moderating variables could have an impact on the relation between Internet advertising and visits to stores. In this research, the disposition to visit the point of sale is assimilated as a mediating construct rather than an implication with the product as a moderating variable. The relevance of this scientific problem decision is that this investigation of the consequences of electronic advertising for offline customer comportment in Saudi Arabia is unprecedented research that seeks to address this interesting question. The investigation of the role of online advertising and the impact of mediating and moderating variables on the visit to the store in the paper was carried out in the following logical sequence: the data were collected via an electronic survey. Of the 500 randomly selected Internet users in Saudi Arabia, only 350 responses were valid. This research used a structural equation model and multigroup analysis to examine the direct and indirect influences of variables. This paper presents the results of an empirical analysis that revealed a positive relation between internet advertising and visits to points of sale. The disposition to visit the point of sale mediates the relationship between Internet advertising and concrete visits to the store. The effect of the product moderates the effect of internet advertising on the disposition to visit the point of sale in Saudi Arabia. The research empirically confirms and theoretically proves that Saudi shoppers fine online advertising to be attractive when this advertising must have some actions and concepts flash. Therefore, Saudi directors should follow this form and use an effective mixture of content and animation. The e-shoppers who are involved are persons who have little engagement; for this reason, they are simply concerned about the tools of the publicity communication. [ABSTRACT FROM AUTHOR]

Seismic Data (SD) have been for several decades used as one of the main inspection and exploration tools in various fields, particularly petroleum industry and geoscience. However, seismic datasets are huge and involve many terabytes, whose handling and storage are expensive for industry activities and computers capabilities. Driven by the large volume of SD, several compression methods have been proposed the last five decades to significantly reduce the SD size, while aiming the highest possible preservation of rocks structural and lithological characteristics. Considering the importance of SD compression, this paper is expected to make the first overview of a large number of relevant state-of-the-art papers related to SD compression, where the papers are divided into two main classes, with respect to the approach they use to extract the SD relevant features. Our aim is to review recent achievements in SD compression, and to go over covering scope, key techniques and performances of the main representative methods on this topic. This, along with issues of these latter, can help raise some open challenges and future directions for upcoming SD compression efforts. [ABSTRACT FROM AUTHOR]

In unveiling the non-parametric estimation of the conditional hazard function through the local linear method, our study yields key insights into the method's behavior. We present rigorous analyses demonstrating the mean square convergence of the estimator, subject to specific conditions, within the realm of independent observations with missing data. Furthermore, our contributions extend to the derivation of expressions detailing both bias and variance of the estimator. Emphasizing the practical implications, we underscore the applicability of two distinct models discussed in this paper for single index estimation scenarios. These findings not only enhance our understanding of survival analysis methodologies but also provide practitioners with valuable tools for navigating the complexities of missing data in the estimation of conditional hazard functions. Ultimately, our results affirm the robustness of the local linear method in non-parametrically estimating the conditional hazard function, offering a nuanced perspective on its performance in the challenging context of independent observations with missing data. [ABSTRACT FROM AUTHOR]

Zn(1-x)CuxO (x = 0, 1, 3, 5%) nanocrystals were synthesized via a hydrothermal method at 150°C for 24 h. The structural, morphological, optical and photocatalytic properties of the samples were investigated, and found to be dependent on the content of the copper dopant. The UV photocatalytic activities of Zn(1-x)CuxO nanocrystals were evaluated by the photodecomposition of the methyl orange (MO) dye. The nanocrystals with a Cu content of 5% exhibited the highest UV photocatalytic activity with a photodegradation efficiency of 94% during 120 min as compared to that of pure ZnO with 73%. The enhancement of the photocatalytic activity of Zn0.95Cu0.05O originates from the better separation of the photogenerated electron-hole pairs. [ABSTRACT FROM AUTHOR]

Purpose: The present research attempts to show the contribution of emotional intelligence and servant leadership climate to individual adaptive performance. The authors intend to explain the relations between the emotional intelligence of employees as well as of manager and the employee's adaptive performance. Moreover, this research assesses the significance of the mediating role of "servant leadership" climate in the relationship between the emotional intelligence of the manager and the employee's adaptive performance. Design/methodology/approach: This research uses the quantitative research method and is included in explanatory research. Data collection used several informants for each organization. Data were collected using a sample of 57 managers and 204 team members spread over 24 companies belonging to different sectors of activity. Findings: Employees' emotional intelligence directly influences individual adaptive performance. There is a direct influence of manager's emotional intelligence on individual adaptive performance. Then, there is an indirect influence of emotional intelligence on individual adaptive performance through the mediation of servant leadership climate. Originality/value: The novelty of this research is in its effort to observe the multilevel mediation of servant leadership climate with other variables developed in the research model. No previous studies have found a relationship between employee and manager's emotional intelligence and individual adaptive performance. [ABSTRACT FROM AUTHOR]

Background: Ankylosing spondylitis (AS) is an inflammatory disease that can impair function and lower quality of life, which causes spinal bone fusion and new bone production. Several studies have been done on the differences in damage between women and men. Objectives: This study aimed to assess the differences between men and women with AS regarding clinical characteristics, structural damage, and treatment used by Algerian patients. Methods: In this study, 292 patients diagnosed with AS at the Hassani Abdelkader Hospital Rehabilitation Department of Sidi Bel Abbes Region between 2018 and 2021 were enrolled. The studied parameters were age, disease duration, age at disease onset, morning stiffness, joint involvements, laboratory data, disease activity, and treatments. All data were processed and analyzed via Excel and SPSS 20.0 (Statistical Package for the Social Sciences, IBM Corporation, Chicago, IL, August 2011). Results: We assessed 166 females and 126 males. The mean age at disease onset was 31.69 ± 10.675 vs. 30.38 ± 10.250 years, and morning stiffness duration was 26.08 ± 26.977 vs. 23.80 ± 26.529 minutes in females and males, respectively. Positive HLA-B27 was noted more in 71.9% of women and 69.6% of men. Also, the female group suffered more from their lumbar (100%) and high inflammation (83.8% elevated erythrocyte sedimentation rate (ESR) and 59.9% positive C-reactive protein (CRP)) rather than females who suffered from a long disease duration (7.28 ± 4.867 vs. 6.74 ± 3.584). Peripheral joints were primarily affected in males than females (knees involvement: 26.4% vs. 3.6% and hips involvement: 69.6% vs. 3%, respectively). In addition, high disease activity was more noted in men (52.8% vs. 41.9%, respectively). The most noted comorbidities, including uveitis, psoriasis, and diabetes, affected more females than males (40% vs. 29.9%, 4.8% vs. 2.4%, and 2.4% vs. 1.2%, respectively). Concerning the treatment, men used more sulfasalazine than women, 86.4% vs. 76%, while women used more Humira than men (88.6% vs. 74.4%, respectively). Conclusions: According to our findings, women had a higher inflammation rate and more damage in their lumbar, requiring more sulfasalazine and Humira treatment than men who suffered from their peripheral joints and higher disease activity. [ABSTRACT FROM AUTHOR]

It is well known that the solution of fractional models proved to be a powerful tool in studying various problems which appear in the sciences of real life. In view of the fact that economic applications are accelerating at an amazing pace, and the large number of modeling in this speciality, it has expanded the number of problems. So, our contribution is based on finding generalized solutions of a fractional differential equation known for their applications in microeconomics and finance and creating an algorithm which allows us to estimate the coefficients of this type of equation. And to really illustrate our results we will choose a model known in the stochastic literature by COGARCH but with fractional derivative, to demonstrate the asymptotic behavior of the estimators, including the impact of fractional order on the space of stochastic differential equations. [ABSTRACT FROM AUTHOR]

Context: This work focuses on the study of six molecules composed of the TetraAmineLithium (TALi+) and TetraAmineSodium (TANa+) structures linked with the anions H−, Li− and Na−. The NLO results obtained by these calculations showed significant values of static first hyperpolarizabilities (βtot) ranging from 8.74 * 10−30 to 691.99 * 10−30 esu. The two molecules TALi–Li and TALi–Na gave the highest values of static βtot equal to 563.20 and 691.99 * 10−30 esu respectively and static second hyperpolarizabilities (γav) of 680.02 and 779.05 * 10−35 esu. The highest dynamic first hyperpolarizabilities (β||) values are around 1474080.00 * 10−30 esu and 6,145,080.00 * 10−30 esu at 720 nm lasers and which are attributed to the two molecules TANa–Li and TANa–Na respectively. Four molecules have push–pull behavior where the anions are donor groups, the Li+–NH3 and Na+–NH3 groups are acceptor groups and a bridge composed by the three remaining NH3 ligands. The maximum wavelengths (λmax) in vacuum and in the presence of solvents for all molecules are in the range 240 to 870 nm. Method: The software used in this study is Gaussian 16. The optimizations of the molecules were calculated by B3LYP–D3/6–31 + + G(d,p). The static first hyperpolarizability (βtot) was calculated by different functionals: CAM–B3LYP, LC–wPBE, LC–BLYP, M11, wB97X, HSEh1PBE and M06–2X and the MP2 method, the basis–set used is 6–31 + + G(d,p). Other calculations of static βtot were carried out by the CAM–B3LYP functional combined with several basis–sets: 6–31G(d,p), 6–31 + + G(d,p), cc–pVDZ, AUG–cc– pVDZ, 6–311G(d,p), 6–311 + + G(d,p), cc–pVTZ and AUG–cc–pVTZ. The calculations of the first (β||) and second (γ||) hyperpolarizabilities in second harmonic generation (SHG) were calculated by CAM–B3LYP/6–31 + + G(d,p). The delocalization energies (E(2)) were determined by the NBO approach and calculated by the same functional and basis–set cited before. The solvation Gibbs energies (ΔGsolv) were calculated using the implicit SMD model. Maximum wavelengths (λmax) and oscillator strengths ( f os ) were calculated by TD–CAM–B3LYP/6–31 + + G(d,p) in the presence of the implicit CPCM model. [ABSTRACT FROM AUTHOR]

This study explores the application of deep learning techniques in forecasting foreign exchange rate volatility, leveraging the capabilities of neural networks to capture complex patterns and non-linear relationships within financial data. The volatility of exchange rates is a critical factor influencing investment decisions, risk management and financial market stability. Traditional models often struggle to capture the dynamic nature of market conditions, leading to increased interest in advanced machine learning methodologies. We applied the auto regressive integrated moving average (ARIMA) and machine learning linear regression (LR) model, deep learning models, i.e. recurrent neural networks (RNN), bidirectional LSTM (BiLSTM), long short-term memory (LSTM) and gated recurrent unit (GRU). In terms of forecasting errors, Python routines were used for such a purpose. Furthermore, in order to investigate the quality of the models used, we compared the performances of these algorithms in US dollar/Algerian dinar exchange rate forecasting through the application of significance statistical tests (R-squared, MSE, RMSE, MAE, MAPE).The results clearly depict that contemporary techniques have been shown to produce more accurate results than conventional regressionbased modelling. The machine learning linear regression (LR) model provides the maximum accuracy rate (99.83%), followed by the RNN models, with the GRU model (92.27%), BiLSTM model (87.34%), LSTM model (74.68%) and ARIMA model (32.29%) [ABSTRACT FROM AUTHOR]

A study was conducted to determine the effects of packaging materials, and storage time on physicochemical and antioxidant properties of commercial concentrate orange juice largely consumed in Algeria (Ramy). The juice was packaged in different packaging materials (glass, cardboard and plastic bottles) and stored for three months at room temperature. Total soluble solids, pH, titratable acidity, vitamin C, and antioxidant activity (DPPH method) were evaluated in freshly juice, and after 1,2, and 3 months of storage. The results showed that total soluble solids, pH, vitamin C and antioxidant activity decreased with storage time under different storage time, irrespective of packaging materials. On the contray, the acidity increased during storage. The juice in glass bottles did not show significant changes until the end of storage. It was conducted that glass bottles packing proved to be most suitable for orange juice storage, which maintained the better quality and antioxidant properties loss than rest of the packing materials. [ABSTRACT FROM AUTHOR]

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This study focused on the potential for pentachlorophenol removal by a biological process in secondary treated wastewater (STWW). The proposed process is a combined method of phytoremediation using a native plant, Polypogon maritimus and Lemna minor, and bioaugmentation using a fungus. The bioaugmentation process was performed by a fungal isolate capable of removing PCP, isolated from the compost. The identification of the fungus was performed by morphological, biochemical, and molecular methods. A biological treatment system by bioaugmentation and phytoremediation was set up to estimate the capacity of this process to eliminate a high concentration of PCP. physico-chemical parameters, such as pH, COD, and BOD were tested at experimentation times T0 (initial) and Tf (final). The concentration of PCP is controlled by the HPLC method. Thus, the growth of the fungus was determined by spectrophotometry and enumeration on the agar medium. The results obtained show that the isolated and selected fungus is identified by Penicillium Ilerdanum. The fungal strain used has a significant capacity for tolerance and elimination of PCP. The results of the physico-chemical parameters showed an improvement in the quality of wastewater after the treatment was carried out. The elimination of PCP came with a release of Common law- and an important decrease in the DOC value in the STWW. The results obtained show that the Polypogon treatment shows a significant elimination of PCP by a percentage of the order of 92.01% and 23.58 g. L− 1 chloride concentration. The macrophytes used showed a better ability to tolerate and eliminate PCP with an increase of chlorophyll and its longer sheets. [ABSTRACT FROM AUTHOR]

This meta-analysis investigates auditory steady-state responses (ASSRs) as potential biomarkers of schizophrenia, focusing on previously unexplored clinical populations, frequencies, and variables. We examined 37 studies, encompassing a diverse cohort of 1788 patients with schizophrenia, including 208 patients with first-episode psychosis, 281 at-risk individuals, and 1603 healthy controls. The results indicate moderate reductions in 40 Hz ASSRs in schizophrenia patients, with significantly greater reductions in first-episode psychosis patients and minimal changes in at-risk individuals. These results call into question the expected progression of ASSR alterations across all stages of schizophrenia. The analysis also revealed the sensitivity of ASSR alterations at 40 Hz to various factors, including stimulus type, level of analysis, and attentional focus. In conclusion, our research highlights ASSRs, particularly at 40 Hz, as potential biomarkers of schizophrenia, revealing varied implications across different stages of the disorder. This study enriches our understanding of ASSRs in schizophrenia, highlighting their potential diagnostic and therapeutic relevance, particularly in the early stages of the disease. [ABSTRACT FROM AUTHOR]

Entrepreneurship, in many low-developed economies, plays an important role in defeating external distress. It is crucial in such situation that entrepreneurial firms resist and even grow. The purpose of this paper is to investigate how entrepreneurial orientation brings about organisational ambidexterity through the mediation role of intellectual capital in the context of a developing country. This paper reports research results combining a qualitative and quantitative evaluation. The exploratory study is based on qualitative case studies and in-depth interview data collected from 15 Tunisian small and medium enterprises (SMEs) in the industrial sector. Then, the methodology included a survey of 155 SMEs using a questionnaire and structural equation modelling analyses. The results reveal that SMEs leverage internal and external resources to pursue ambidexterity separately or simultaneously. The data were gathered from a sole informant from every firm. Consequently, more in-depth longitudinal study may be requisite to expand deeper insights into the used variables. SME managers need to focus on the specific barriers to ambidexterity and design effective mechanisms to advance the drivers of ambidexterity. The mechanisms to realize ambidexterity as branded in this study will assist SMEs in particular, and firms in general. A new shape of organisation is an open design allowing more outer acquaintance and resources to be riveted, which is claimed as a novel model for organisation. This study combined the concepts of entrepreneurial orientation and intellectual capital as the basis of innovation ambidexterity. Human, organisational and relational capitals are the intermediate mechanisms to explain the effect of entrepreneurial orientation. Moreover, the Tunisian specific context adds more novelty to this study. [ABSTRACT FROM AUTHOR]

Context: This article is based on the study of pyrrolic derivatives and their oligomers. Knowing that, pyrrolic derivatives are widely studied on an industrial scale. The aim of this work is to find pyrrolic derivatives having the same physicochemical characteristics such as the pyrrolic edifice. Six derivatives were studied by substituting the hydrogens in the β position of the pyrroles with the following radicals: –CHO, –Cl, –CN, –NO, and –OH. The study was carried out theoretically using ab initio and density functional of theory (DFT) methods. In the first step, molecules of four units were taken into consideration in order to make the comparison between them. This comparison showed that the majority of molecules exhibited high intramolecular charge transfer (ICT) compared to the molecule composed of four pyrrolic units (OP4), and also exhibited strong nucleophilic and electrophilic characteristics. Natural bond orbital (NBO) analysis has shown continuous ICT mechanisms for certain molecules. The studied derivatives showed good solvation in several solvents compared to OP4. The molecules substituted by the radicals –CHO, –CN, –OH, and –NO generated several peaks in the excited states, which is the opposite case for the other molecules with a single peak. The effects of chain elongation revealed exponential equations generated by the two parameters energy gaps (ΔEH–L) and maximum wavelengths (λmax) as a function of the number of units (n). These equations were used to predict the maximum and minimum values of the above parameters for more elongated oligomers. Method: The software used to make the calculations is Gaussian 16. All geometries were calculated by B3LYP functional and 6–31++G(d,p) basis set. The electronic parameters ΔEH–L were calculated by the following functionals: B3LYP, CAM–B3LYP, LC–wPBE, LC–BLYP, wB97X, M062X, M06HF, and M11 in addition to the second-order Møller-Plesset method (MP2) while always keeping the basis set mentioned before. An effect of basis set variation was studied by the optimal functional in combination with the following basis sets: 6–31G(d,p), 6–31++G(d,p), cc–pVDZ, AUG–cc–pVDZ, 6–311G(d,p), 6–311++G(d,p), cc–pVTZ, and AUG–cc–pVTZ. The NBO study was carried out with the M06HF/6-31++G(d,p) functional using the NBO method. The solvation parameters were calculated by M06HF/6–31++G(d,p) in the presence of the implicit solvation model Solvation Model based on Density (SMD). The excited states were calculated by M06HF/6–31++G(d,p) by the implicit solvation model Conductor Polarizable Continuum Model (CPCM). [ABSTRACT FROM AUTHOR]

One of the routine clinical treatments to eliminate ischemic stroke thrombi is injecting a biochemical product into the patient's bloodstream, which breaks down the thrombi's fibrin fibers: intravenous or intravascular thrombolysis. However, this procedure is not without risk for the patient; the worst circumstances can cause a brain hemorrhage or embolism that can be fatal. Improvement in patient management drastically reduced these risks, and patients who benefited from thrombolysis soon after the onset of the stroke have a significantly better 3-month prognosis, but treatment success is highly variable. The causes of this variability remain unclear, and it is likely that some fundamental aspects still require thorough investigations. For that reason, we conducted in vitro flow-driven fibrinolysis experiments to study pure fibrin thrombi breakdown in controlled conditions and observed that the lysis front evolved non-linearly in time. To understand these results, we developed an analytical 1D lysis model in which the thrombus is considered a porous medium. The lytic cascade is reduced to a second-order reaction involving fibrin and a surrogate pro-fibrinolytic agent. The model was able to reproduce the observed lysis evolution under the assumptions of constant fluid velocity and lysis occurring only at the front. For adding complexity, such as clot heterogeneity or complex flow conditions, we propose a 3-dimensional mesoscopic numerical model of blood flow and fibrinolysis, which validates the analytical model's results. Such a numerical model could help us better understand the spatial evolution of the thrombi breakdown, extract the most relevant physiological parameters to lysis efficiency, and possibly explain the failure of the clinical treatment. These findings suggest that even though real-world fibrinolysis is a complex biological process, a simplified model can recover the main features of lysis evolution. [ABSTRACT FROM AUTHOR]

Pythium oligandrum is a soil-borne oomycete associated with rhizosphere and root tissues. Its ability to enhance plant growth, stimulate plant immunity and parasitize fungal and oomycete preys has led to the development of agricultural biocontrol products. Meanwhile, the effect of P. oligandrum on mutualistic interactions and more generally on root microbial communities has not been investigated. Here, we developed a biological system comprising P. oligandrum interacting with two legume plants, Medicago truncatula and Pisum sativum. P. oligandrum activity was investigated at the transcriptomics level through an RNAseq approach, metabolomics and finally metagenomics to investigate the impact of P. oligandrum on root microbiota. We found that P. oligandrum promotes plant growth in these two species and protects them against infection by the oomycete Aphanomyces euteiches, a devastating legume root pathogen. In addition, P. oligandrum up-regulated more than 1000 genes in M. truncatula roots including genes involved in plant defense and notably in the biosynthesis of antimicrobial compounds and validated the enhanced production of M. truncatula phytoalexins, medicarpin and formononetin. Despite this activation of plant immunity, we found that root colonization by P. oligandrum did not impaired symbiotic interactions, promoting the formation of large andmultilobed symbiotic nodules with Ensifer meliloti and did not negatively affect the formation of arbuscular mycorrhizal symbiosis. Finally, metagenomic analyses showed the oomycete modifies the composition of fungal and bacterial communities. Together, our results provide novel insights regarding the involvement of P. oligandrum in the functioning of plant root microbiota. [ABSTRACT FROM AUTHOR]

Carbapenem-resistant Acinetobacter baumannii (CRAB) strains can cause severe and difficult-to-treat infections in patients with compromised general health. CRAB strains disseminate rapidly in nosocomial settings by patient-to-patient contact, through medical devices and inanimate reservoirs. The occurrence of CRAB in patients residing in the intensive care units (ICUs) of the Sahloul University hospital in Sousse, Tunisia is high. The objective of the current study was to determine whether the surfaces of items present in five ICU wards and the medical personnel there operating could serve as reservoirs for CRAB strains. Furthermore, CRAB isolates from patients residing in the ICUs during the sampling campaign were analyzed for genome comparison with isolates from the ICUs environment. Overall, 206 items were screened for CRAB presence and 27 (14%) were contaminated with a CRAB isolate. The items were located in several areas of three ICUs. Eight of the 54 (15%) screened people working in the wards were colonized by CRAB on the hands. Patients residing in the ICUs were infected with CRAB strains sharing extensive genomic similarity with strains recovered in the nosocomial environment. The strains belonged to three sub-clades of the internationally disseminated clone (ST2). A clone emerging in the Mediterranean basin (ST85) was detected as well. The strains were OXA-23 or NDM-1 producers and were also pan-aminoglycoside resistant due to the presence of the armA gene. Hygiene measures are urgent to be implemented in the Sahloul hospital to avoid further spread of difficult-to-treat CRAB strains and preserve health of patients and personnel operating in the ICU wards. [ABSTRACT FROM AUTHOR]

Late blight is a destructive disease of solanaceous crops such as tomato (Solanum lycopersicum L.), caused by the Oomycete Phytophthora infestans (Mont.) de Bary. Late blight is generally controlled by fungicide applications, which quickly become ineffective due to the appearance of new P. infestans genotypes that can overcome the resistance of improved tomato cultivars and cause total production losses. The aim of this study is to assess the resistance level of tomato cultivars under controlled conditions and inoculations were carried out on detached leaflets (cvs. Trakia, Saint Pierre and Marmande) using inoculums of the major P. infestans clonal lineages found in Algeria such as EU_13_A2 (n = 1), EU_23_A1 (n = 2) and EU_2_A1 (n = 1) (three replicates of each isolate). This investigation showed that the choice of resistant cultivars can help control late blight and provide economic and environmental advantages by reducing the use of inputs. [ABSTRACT FROM AUTHOR]

Summary: The Multi‐Path Transmission Control Protocol is a new generation protocol for the transport layer which allows multihomed devices to exploit simultaneously their own interfaces. This feature would normally lead to some high‐performance achievement in regard to regular TCP. However, the heterogeneous paths might cause the occurrence of the 'out‐of‐order' problem which requires the intervention of a more efficient scheduler to reach a high level of global bandwidth utilization. Since scheduling plays a key role in performance improvements, several studies have been implemented exploiting this idea, namely those that adopt the reactive approach and those others adopting the proactive one. In this paper, our goal is to improve the multipath throughput. The testbed experimentation consists primarily in the evaluation and analysis of the behaviour of different recent scheduling approaches with an asymmetric paths topology. Then, we propose an alternating scheduling approach which shed the light on bandwidth utilization. The results show that this approach is a more efficient solution than taking the reactive and proactive ones separately as it is based on a preliminary study that we conducted on the main performance and reliability parameters and has been implemented in the asymmetric multipath networks. This technique has led to a smart scheduling that provides a high level of throughput aggregation. [ABSTRACT FROM AUTHOR]

In this paper, we propose to study the asymptotic properties of some conditional functional parameters, such as the distribution function, the density, and the hazard function, for an explanatory variable with values in a Hilbert space (infinite dimension) and a response variable real in a quasi-associated dependency framework. We consider the non parametric estimation of the conditional distribution function by the kernel method in the presence of the quasi-associated dependence, and we establish under general hypotheses the almost complete convergence with speed of the estimator built in the associated case. The estimation of the conditional hazard function will be conducted by utilizing the two outcomes of the conditional distribution function and the conditional density. We establish the asymptotic normality of the kernel estimator as the conditional risk function of a properly normalized functional. We explicitly give the asymptotic variance. Simulation studies were conducted to investigate the behavior of the asymptotic property in the context of finite sample data. All the statistical analyses were performed using R software. [ABSTRACT FROM AUTHOR]

This article presents a comprehensive investigation into the thermomechanical analysis of glass powder as an additive in concrete. The efficient Eshelby's model is utilized to determine the relevant composite properties, considering the spherical shape of the glass powder. A higher-order shear deformation plate theory is employed to theoretically simulate the reinforced concrete panel, ensuring accuracy and simplicity. Equilibrium equations are derived using the virtual work concept, and energy equations are derived using Hamilton's principle. Navier's analytical techniques are applied to obtain closed-form solutions for simply supported plates. A comprehensive parametric study is conducted, analyzing the impact of factors such as glass powder volume, geometric parameters, and thermal loading on the thermomechanical behavior of the panel. The findings highlight the challenges associated with using glass powder in concrete for thermomechanical applications and suggest the need for alternative approaches to optimize its effectiveness in such scenarios, also the study provides first-time numerical results that serve as guidelines for further research on reinforced concrete. [ABSTRACT FROM AUTHOR]