O PAPEL MEDIADOR DA INOVAÇÃO ESTRATÉGICA NA RELAÇÃO ENTRE AS PRÁTICAS DE RECURSOS HUMANOS E A CRIAÇÃO DE VANTAGEM COMPETITIVA NO ENSINO SUPERIOR : UM ESTUDO APLICADO NA UNIVERSIDADE ISLÂMICA IMÃ MUHAMMAD BIN SAUD

The study aimed to identify the current situation and the extent to which strategic innovation contributes to enhancing human resource practices and creating competitiveness for higher education institutions. The problem of the study was represented in the following question: Does strategic innovation in human resource practices create a competitive advantage for higher education institutions? The study adopted a descriptive analytical approach alongside a historical method, and it was applied to the employees of Imam Muhammad bin Saud Islamic University, with a sample size of 66 individuals. Using the statistical program (SPSS), the data was analyzed, leading to several results and recommendations, the most important of which are: The study indicated that more than 87% of the participants had not received training courses on strategic innovation, and the same percentage (87%) had not received training courses on competitive advantage. The respondents expressed neutrality regarding several aspects, including: the university successfully promotes a decentralized approach by delegating authority to employees to determine performance levels, and the university is concerned with analyzing data related to competitors to understand their strengths and weaknesses. We also reached several recommendations, including: We recommend that the university administration focus on enhancing training courses for employees, especially regarding competitive advantage enablers such as strategic innovation, agility, and other modern methods to create excellence and improve the university's image globally and locally. There must be clear strategic policies formulated to retain creative individuals, with a necessity to clarify these policies to the employees. Additionally, we recommend the need to respond to labor market requirements and the ideas of business owners to prepare students according to labor market needs.O estudo teve como objetivo identificar a situação atual e até que ponto a inovação estratégica contribui para melhorar as práticas de recursos humanos e criar competitividade para instituições de ensino superior. O problema do estudo foi representado na seguinte questão: A inovação estratégica nas práticas de recursos humanos cria uma vantagem competitiva para instituições de ensino superior? O estudo adotou uma abordagem analítica descritiva juntamente com um método histórico, e foi aplicado aos funcionários da Universidade Islâmica Imam Muhammad bin Saud, com um tamanho de amostra de 66 indivíduos. Usando o programa estatístico (SPSS), os dados foram analisados, levando a vários resultados e recomendações, os mais importantes dos quais são: O estudo indicou que mais de 87% dos participantes não receberam cursos de treinamento em inovação estratégica, e a mesma porcentagem (87%) não recebeu cursos de treinamento em vantagem competitiva. Os entrevistados expressaram neutralidade em relação a vários aspectos, incluindo: a universidade promove com sucesso uma abordagem descentralizada delegando autoridade aos funcionários para determinar os níveis de desempenho, e a universidade está preocupada em analisar dados relacionados aos concorrentes para entender seus pontos fortes e fracos. Também chegamos a várias recomendações, incluindo: Recomendamos que a administração da universidade se concentre em aprimorar os cursos de treinamento para funcionários, especialmente em relação aos facilitadores de vantagem competitiva, como inovação estratégica, agilidade e outros métodos modernos para criar excelência e melhorar a imagem da universidade global e localmente. Deve haver políticas estratégicas claras formuladas para reter indivíduos criativos, com a necessidade de esclarecer essas políticas para os funcionários. Além disso, recomendamos a necessidade de responder às exigências do mercado de trabalho e às ideias dos empresários para preparar os alunos de acordo com as necessidades do mercado de trabalho

Dynamic Traffic Light System to Reduce The Waiting Time of Emergency Vehicles at Intersections within IoT Environment

Traditional traffic light system, which works based on fixed cycle can be a main reason for traffic jam, due to lack of adaptation to road conditions. Traffic jam has a bad impact on drivers and road users due to the time delay it causes for road users to reach their destinations. This delay can cause a life threat in case of emergency vehicles, such as ambulance vehicles and police cars. One key solution to solve traffic jam on intersections is the dynamic traffic lights, where traffic light operation adapts based on the intersection traffic conditions. Since few of researches projects in the literature interested in solving traffic jam problem for emergency vehicles, the contribution of this paper is to introduces a novel approach to operate traffic light system. The new approach consists of two algorithms which are pure operation mode and hybrid operation mode. These operation modes aim to reduce the waiting time of emergency vehicles on traffic intersections. They assume that there is a smart infrastructure system uses Internet of Things (IoT) that can detect emergency vehicles arrival to an intersection. The smart infrastructure system switches traffic light operation from fixed cycle mode to dynamic mode. The dynamic mode manages traffic lights at intersections to reduce the waiting time of emergency vehicles. The paper presents a simulation of the proposed algorithms, highlights their advantages. In order to evaluate the efficiency of the new technique, we compared our approach with Wen algorithm in the literature and the Traditional traffic light system. Our evaluation study indicated that the proposed algorithms outperformed Wen technique and the Traditional system under different traffic scenario

Strengthening of seismically deficient exterior beam-column connections using embedded steel bars

Several techniques for improving performance of reinforced concrete (RC) beam-column (BC) connections have been developed in last two decades, but these techniques have been criticized for being labourintensive and susceptible to premature de-bonding. To overcome these shortcomings, a novel technique utilising embedded steel bars has been developed in this study for strengthening seismically deficient RC BC connections. This technique involves drilling holes within the joint core. After the drilled holes are cleaned, they are partially filled with epoxy. Finally, steel bars are inserted in the epoxy-filled holes. Two exterior BC connections were constructed and loaded under displacement-controlled cyclic loading. The first specimen was a control specimen designed in accordance with the pre-1970s building codes to represent BC connections requiring strengthening. The second specimen was strengthened with eight 8 mm steel bars embedded within the concrete core in the joint area and epoxied to maintain the bond between the concrete and the steel bars. The strengthened specimen had superior performance compared to that of the control specimen in terms of joint shear stress, normalised principal tensile stress demand and stiffness degradation. The results show that shear stress of the joint was enhanced by about 8% whereas the enhancement in the principal tensile stress demand was 24% compared to that of the control specimen. The results showed that the proposed technique is capable in upgrading the seismic performance of seismically deficient RC BC connections

Quantum Heat Flow Model for Heat Flow in Some Nanotubes

Using Schrodinger equation in a fractional medium a useful expression for heat flow through Nano tubes has been found. Fortunately, this equation resembles  that obtained by Moran Wang etal, and Hai- Dong Wang teal.   the ordinary thermal conductivity is constant. The effective thermal conductivity temperature dependent resembles that obtained for carbon Nano tubes and Boron Nitride Nano tubes. It is also finite at low temperature which also conforms with experimental data for carbon and Boron. Since Nano materials are described by quantum lows, this new model is thus more suitable for Nano tubes, as for as it is derived using quantum laws

IN SILICO PHARMACOKINETICS AND MOLECULAR DOCKING OF THREE LEADS ISOLATED FROM TARCONANTHUS CAMPHORATUS L.

Objective: To investigate the pharmacokinetic and toxicity profiles and spectrum of biological activities of three phytochemicals isolated from Tarconanthus camphoratus L. Methods: Several integrated web based in silico pharmacokinetic tools were used to estimate the druggability of Hispidulin, Nepetin and Parthenolide. Afterward, the structural based virtual screening for the three compounds' potential targets was performed using PharmMapper online server. The molecular docking was conducted using Auto-Dock 4.0 software to study the binding interactions of these compounds with the targets predicted by PharmMapper server. Results: The permeability properties for all compounds were found within the limit range stated for Lipinski׳s rule of five. Only Parthenolide proved to be able to penetrate through blood brain barrier. Isopentenyl-diphosphate delta-isomerase (IPPI), uridine-cytidine kinase-2 (UCK-2) and the mitogen-activated protein kinase kinase-1 (MEK-1) were proposed as potential targets for Hispidulin, Nepetin and Parthenolide, respectively. Nepetin and Parthenolide were predicted to have anticancer activities. The activity of Nepetin appeared to be mediated through UCK-2 inhibition. On the other hand, inhibition of MEK-1 and enhancement of TP53 expression were predicted as the anticancer mechanisms of Parthenolide. The three compounds showed interesting interactions and satisfactory binding energies when docked into their relevant targets. Conclusion: The ADMET profiles and biological activity spectra of Hispidulin, Nepetin and Parthenolide have been addressed. These compounds are proposed to have activities against a variety of human aliments such as tumors, muscular dystrophy, and diabetic cataracts.Keywords: Tarconanthus camphoratus L., Hispidulin, Nepetin, Parthenolide, In silico pharmacokinetic, Molecular docking, PharmMapper server, and Auto-Dock 4.0 softwareÂ

Harnessing artificial intelligence for human resources management: Tools, advantages, and risks in the energy sector

The main goal of the study is aimed at determining the features of the use of artificial intelligence in HR in the energy sector. The relevance and necessity of the study is due to the increasing intensity of the introduction of artificial intelligence in all sectors of the world economy, which necessitates the need to improve existing and search for new management approaches in companies in the energy sector. The introduction of artificial intelligence technologies into HR business processes is justified. Artificial intelligence tools in HR are considered, the advantages and disadvantages of each of them are highlighted. The focus is on artificial intelligence in HR processes of energy companies: personnel training and development. The ways of using artificial intelligence in HR and its impact on HR business processes and personnel efficiency are highlighted. The prospects for the development of HR systems, difficulties, dangers and risks of using artificial intelligence in HR business processes are covered. The results of the study can be used in practice when organizing a human resource management strategy for a company in the energy sector using trending artificial intelligence technologies and to ensure the efficiency of these business processes

Bioinformatics-Driven Identification of Genetic Biomarkers and Therapeutic Targets in Dengue Virus Infection

The Dengue fever virus (DENV) poses a significant and escalating worldwide health risk. Nevertheless, dengue fever's exact cause and development have yet to be understood entirely. This study used bioinformatics methods to detect probable biomarkers associated with dengue infection and clarify the underlying mechanisms. The study showed that in the GSE51808 and GSE176079 datasets, the behavior of 555 genes in the dengue-infected samples differed notably from that in the normal samples. In comparison, 812 genes showed distinct patterns in another set of samples. The identification of differentially expressed genes (DEGs) that were upregulated was made through the process, and it was found that GSE51808 had 174 upregulated genes while GSE176079 had 71 upregulated genes. In addition, gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment studies, as well as protein-protein interaction (PPI) network analysis, were executed to gain a deeper insight into the roles of DEGs. Additionally, this study identified the top ten hub genes, including SLC4A1, EPB42, TMOD1, DMTN, ALAS2, SNCA, OSBP2, TRIM58, HBQ1, and ANK1. This facilitated the understanding of complex mechanisms through the involvement of specific miRNAs such as hsa-mir-34a-5p and HIF1A acting as transcription factors, which improved the understanding of complex host response to dengue virus. For each identified gene SLC4A1 and SNCA, the additional use of protein-drug interaction analysis on hub genes, followed by validation through molecular docking, yielded two approved drugs. The drugs Atenolol and Metoprolol exhibited interaction scores of 0.921563 and 2.680912, respectively, and binding scores of -6.478 and -6.032 kcal/mol, respectively, with SLC4A1. Ketoconazole and Gentian violet exhibited an interaction score of 0.094067 with SNCA. Additionally, they demonstrated a binding score of -6.2 and -6 kcal/mol, respectively. This study demonstrated the efficacy of bioinformatics analysis techniques in identifying putative genes involved in dengue fever and elucidating their underlying mechanisms. In addition, SLC4A1 SNCA were identified in this study as potential biomarkers linked to DENV infection, thereby presenting intriguing therapeutic targets for dengue fever

Experimental behavior and design of reinforced concrete exterior beam-column joints strengthened with embedded bars

Shear-deficient reinforced concrete (RC) beam-column joints (BCJs) represent one of the main factors behind the seismic damage suffered by existing concrete infrastructure, as well as the associated loss of life. This study presents a novel technique for strengthening shear-deficient RC BCJs. The technique involves embedding carbon fiber reinforced polymer (CFRP) or steel bars into epoxy-filled holes drilled within the joint core. Six exterior RC BCJs were constructed and tested under displacement-controlled cyclic loading. Five specimens, of which four were strengthened with embedded bars, were designed with shear-deficient joints according to the pre-1980s building codes. The remaining specimen was adequately designed according to ACI 352R-02. The test parameters are the type (steel or CFRP) and number (4 or 8 bars) of embedded bars. The unstrengthened control specimen experienced joint shear failure in the form of cross-diagonal cracks. The strengthened specimens, namely those strengthened with embedded steel bars, exhibited less brittle failure where damage occurred in the beam region at the early stages of loading, suggesting the outset of a beam hinge mechanism. Additionally, the strengthened specimens exhibited enhancements in joint shear strength, ductility, dissipated energy and stiffness of 6-21%, 6-93%, 10-54% and 2-35%, respectively, compared to the control specimen. This paper also presents a mechanics-based design model for RC BCJs strengthened with embedded bars. The proposed model covers all possible failure modes including yielding of the existing steel reinforcement, concrete crushing and debonding of the embedded bars. The accuracy of the proposed model was checked against the test results. The model gave good predictions with an average predicted-to-experimental ratio of 1.05 and a standard deviation of 0.04. Keywords: Analysis; Beam-column joints; Design; Embedded bars; Fiber reinforced polymer; Reinforced Concrete; Shear strengtheningDirectorate General of Higher Education, Ministry of Research and Higher Education of Indonesi