Inteligência empresarial intermedia e a relação entre a orientação para o mercado e o empresariado

The purpose of this study was to investigate the effect of market orientation on business performance through the role of business intelligence intermediary in the EN bank. this research is a descriptive survey. The statistical population of this study is 250 people from the EN bank. Structural equation modeling and LISREL software were used to analyze the data. The results indicate that the dimensions of market orientation (customer orientation, and inter-task coordination) have a significant effect on business performance. However, the effect of customer orientation on the performance of the EN bank business is more than other factors. The results also show that market orientation has a positive impact on business performance through the intermediary variable of business intelligence. However, senior management of banks, based on business intelligence, must operate in a manner towards market orientation, which is part of corporate culture and bank values, and all executives and employees are committed in practice, and Release information about customer needs that lead to higher performance.El propósito de este estudio fue investigar el efecto de la orientación del mercado en el desempeño del negocio a través del rol de intermediario de inteligencia de negocios en el banco EN. Esta investigación es una encuesta descriptiva. La población estadística de este estudio es de 250 personas del banco EN. Se utilizaron modelos de ecuaciones estructurales y software LISREL para analizar los datos. Los resultados indican que las dimensiones de la orientación del mercado (orientación al cliente y coordinación entre tareas) tienen un efecto significativo en el rendimiento del negocio. Sin embargo, el efecto de la orientación al cliente sobre el desempeño del negocio bancario EN es más que otros factores. Los resultados también muestran que la orientación al mercado tiene un impacto positivo en el rendimiento del negocio a través de la variable intermedia de inteligencia de negocios. Sin embargo, la alta gerencia de los bancos, basada en inteligencia empresarial, debe operar de una manera orientada hacia el mercado, que forma parte de la cultura corporativa y los valores bancarios, y todos los ejecutivos y empleados están comprometidos en la práctica, y divulgar información sobre las necesidades del cliente que llevan a mayor rendimiento.O objetivo deste estudo foi investigar o efeito da orientação do mercado sobre o desempenho dos negócios através do papel do intermediário de inteligência de negócios no banco EN. Esta pesquisa é uma pesquisa descritiva. A população estatística deste estudo é de 250 pessoas do banco EN. A modelagem de equações estruturais e o software LISREL foram utilizados para analisar os dados. Os resultados indicam que as dimensões de orientação para o mercado (orientação ao cliente e coordenação entre tarefas) têm um efeito significativo no desempenho dos negócios. No entanto, o efeito da orientação do cliente no desempenho do negócio do banco EN é mais do que outros fatores. Os resultados também mostram que a orientação para o mercado tem um impacto positivo no desempenho dos negócios por meio da variável intermediária de business intelligence. No entanto, a gerência sênior dos bancos, baseada em business intelligence, deve operar de forma orientada para o mercado, que faz parte da cultura corporativa e dos valores bancários, e todos os executivos e funcionários estão comprometidos na prática. maior desempenho

Optimal and Objective Placement of Sensors in Water Distribution Systems Using Information Theory

Optimization-based deployment of contamination warning system in water distribution systems has been widely used in the literature, due to their superior performance compared to rule- and opinion-based approaches. However, optimization techniques impose an excessive computational burden, which in turn is compensated for by shrinking the problem’s decision space and/or using faster optimization algorithms with less accuracy. This imposes subjectivity in interpretation of the system and associated risks, and undermines model’s accuracy by not exploring the entire feasible space. We propose a framework that uses information theoretic techniques, including value of information and transinformation entropy, for optimal sensor placement. This can be used either as pre-selection, i.e. pinpointing best potential locations of sensors to be in turn used in optimization framework, or ultimate selection, i.e. single-handedly selecting sensor locations from the feasible space. The proposed framework is then applied to Lamerd water distribution system, in Fars province, Iran, and the results are compared to the suggested potential locations of sensors in previous studies and results of TEVA-SPOT model. The proposed information theoretic scheme enhances the decision space, provides more accurate results, significantly reduces the computational burden, and warrants objective selection of sensor placement

A case study on the COVID-19 discourse in politicians’ speeches: Investigations into the speeches of former Iranian President Hassan Rouhani

This paper aims to analyze former Iranian President Hassan Rouhani’s thirty speeches on COVID-19 delivered between February 2, 2020 and April 27, 2020. We apply Laclau and Mouffe’s theory of discourse analysis to investigate and analyze Rouhani’s rhetorical and discursive strategies in making meaning of COVID-19. Findings showed that COVID-19 discourse in Rouhani’s speeches has mainly revolved around three nodal points: “the country”, “the enemy”, and “the state of exception”. Thus, the structural articulation of COVID-19 discourse resembles the hegemonic discourse in Iran. Our results also explain how Rouhani used COVID-19 as an empty signifier to reinforce the hegemonic discourse in Iran while trying to redefine his relations with the state-leaning organizations. Furthermore, we analyzed the rhetorical practices that Rouhani employed to articulate the COVID-19 discourse. This paper contributes to a growing body of literature into discursive aspects and implications of a global pandemic by providing empirical evidence form an understudied context: Iran

The Role of Graphlets in Viral Processes on Networks

Predicting the evolution of viral processes on networks is an important problem with applications arising in biology, the social sciences, and the study of the Internet. In existing works, mean-field analysis based upon degree distribution is used for the prediction of viral spreading across networks of different types. However, it has been shown that degree distribution alone fails to predict the behavior of viruses on some real-world networks and recent attempts have been made to use assortativity to address this shortcoming. In this paper, we show that adding assortativity does not fully explain the variance in the spread of viruses for a number of real-world networks. We propose using the graphlet frequency distribution in combination with assortativity to explain variations in the evolution of viral processes across networks with identical degree distribution. Using a data-driven approach by coupling predictive modeling with viral process simulation on real-world networks, we show that simple regression models based on graphlet frequency distribution can explain over 95% of the variance in virality on networks with the same degree distribution but different network topologies. Our results not only highlight the importance of graphlets but also identify a small collection of graphlets which may have the highest influence over the viral processes on a network

The effect of earnings management on liquidity criteria and lack of liquidity stock

Liquidity criteria that investors in making portfolio investments are involved. Among the factors that could affect liquidity, earnings management. Earnings management can accrual-based earnings management aspects and management of real benefit to be evaluated; Therefore, the aim of this study is to estimate the accrual-based earnings management and gain real management and its effects on liquidity of companies listed on the Stock Exchange in Tehran. The sample consisted of 78 companies for the period 2008 to 2012. We used multivariate regression model based on panel data is performed. Our results show that research hypotheses are tested between accrual-based earnings management positive and significant relationship with the lack of liquidity, and the liquidity and significant negative relationship. As well as the actual management of non-profit with a positive and significant relationship between stock liquidity, and the liquidity is insignificant and there is a negative relationship

Numerical Analysis of J-Hook Connectors’ Effect on the Performance of Steel-Concrete Composite Shear Walls

The use of shear walls is one of the diverse approaches to deal with lateral forces, and composite shear walls are among the different types of these walls. Composite walls consist of two steel sheets and a concrete core between them joined by shear connectors. In this system, the concrete cover can also participate in the load-bearing of the section. Shear connectors are used for bonding concrete to the steel sheet in the wall. Due to the necessity of creating a composite functionality, these connectors play an important role in the behavior of the system. Moreover, the effect of J-hook connectors on steel-concrete composite shear walls is investigated. For this aim, an experimental model is simulated and validated in the ABAQUS software. After verifying the accuracy of the model, a parametric analysis is defined and further studies are performed by using a nonlinear in-crescent static method (pushover method). The results of this study show that the J-Hook connector positively affects increasing load capacity and reducing the out-of-plane displacement of the composite shear wall. Additionally, the number and location of the connectors have a great impact on the both load and buckling capacity of the steel plate. Above all, adding concrete to the steel shear wall which consists of two steel sheets, not only rise the wall's bearing capacity by 14 percent, but improve the performance of the interaction between materials by about 17%

Rotation of Onion and Potato and it’s Effect on Yield and Soil Organic Matter

In three years rotation systems each field divided to two parts and 1st part cultivated with onion and potato and second part kept fallow. In 2nd year onion cultivated on potato and vice versa and fallow plots went under potato planting. In the 3rd year, onion cultivated on onion and potato planted on potato and onion. So fallow-onion, fallow-potato, onion-onion, potato-onion, onion-potato and potato-potato rotation systems were studied. Results showed that potato-onion rotation increased significantly bulb yield by producing jumbo bulbs. Tuber yield in fallow-potato was high because of more coarse seed tubers. In onion-potato system, tubers were tiny and big tubers were less but jumbo. Second year fallow-potato seed and little tubers were more so their sizes become tiny. But in potato-potato fewer yields obtained because of three sizes less number and size. Potato increased soil organic carbon (OC) percentage. Following onion decreased OC and another potato increased OC again sharply. OC changes in fallow year plots showed minimum change but in second year planting potato increased OC more than onion. Fallow-potato-potato system increased OC from second year end, but potato-onion-potato system showed decrease after increase and onion-onion-onion increase OC constantly

DeePLT: Personalized Lighting Facilitates by Trajectory Prediction of Recognized Residents in the Smart Home

In recent years, the intelligence of various parts of the home has become one of the essential features of any modern home. One of these parts is the intelligence lighting system that personalizes the light for each person. This paper proposes an intelligent system based on machine learning that personalizes lighting in the instant future location of a recognized user, inferred by trajectory prediction. Our proposed system consists of the following modules: (I) human detection to detect and localize the person in each given video frame, (II) face recognition to identify the detected person, (III) human tracking to track the person in the sequence of video frames and (IV) trajectory prediction to forecast the future location of the user in the environment using Inverse Reinforcement Learning. The proposed method provides a unique profile for each person, including specifications, face images, and custom lighting settings. This profile is used in the lighting adjustment process. Unlike other methods that consider constant lighting for every person, our system can apply each 'person's desired lighting in terms of color and light intensity without direct user intervention. Therefore, the lighting is adjusted with higher speed and better efficiency. In addition, the predicted trajectory path makes the proposed system apply the desired lighting, creating more pleasant and comfortable conditions for the home residents. In the experimental results, the system applied the desired lighting in an average time of 1.4 seconds from the moment of entry, as well as a performance of 22.1mAp in human detection, 95.12% accuracy in face recognition, 93.3% MDP in human tracking, and 10.80 MinADE20, 18.55 MinFDE20, 15.8 MinADE5 and 30.50 MinFDE5 in trajectory prediction

Nanohydroxyapatite Silicate-Based Cement Improves the Primary Stability of Dental Implants: An In Vitro Study

Objectives. Insufficient cortical bone volume when placing implants can lead to lack of primary stability. The use of cement as a bone fill material in bone defects around dental implant could result in better clinical outcome. HA has shown excellent biological properties in implant dentistry. The purpose of this study was to evaluate the effect of nanohydroxyapatite powder (Nano-HA) in combination with accelerated Portland cement (APC) on implant primary stability in surgically created circumferential bone defects in a bovine rib in vitro model. Materials and Methods. Sixteen bovine rib bones and thirty-six implants of same type and size (4 mm × 10 mm) were used. Implants were divided into six groups: no circumferential bone defect, defect and no grafting, bone chips grafting, Nano-HA grafting, APC grafting, and Nano-HA mixed to APC grafting (Nano-HA-APC). Circumferential defects around the implants were prepared. The implant stability quotient (ISQ) values were measured before and after the grafting. Results. APC exhibited the highest ISQ values. A significant increase of ISQ values following the grafting of Nano-HA-APC (18.08±5.82) and APC alone (9.50±4.12) was achieved. Increase of ISQ values after 72 hours was 24.16±5.01 and 17.58±4.89, respectively. Nano-HA grafting alone exhibited the least rise in ISQ values. Conclusions. Nanohydroxyapatite silicate-based cement could improve the primary stability of dental implants in circumferential bone defect around implants

A Comprehensive Bibliometric Analysis on Social Network Anonymization: Current Approaches and Future Directions

In recent decades, social network anonymization has become a crucial research field due to its pivotal role in preserving users' privacy. However, the high diversity of approaches introduced in relevant studies poses a challenge to gaining a profound understanding of the field. In response to this, the current study presents an exhaustive and well-structured bibliometric analysis of the social network anonymization field. To begin our research, related studies from the period of 2007-2022 were collected from the Scopus Database then pre-processed. Following this, the VOSviewer was used to visualize the network of authors' keywords. Subsequently, extensive statistical and network analyses were performed to identify the most prominent keywords and trending topics. Additionally, the application of co-word analysis through SciMAT and the Alluvial diagram allowed us to explore the themes of social network anonymization and scrutinize their evolution over time. These analyses culminated in an innovative taxonomy of the existing approaches and anticipation of potential trends in this domain. To the best of our knowledge, this is the first bibliometric analysis in the social network anonymization field, which offers a deeper understanding of the current state and an insightful roadmap for future research in this domain.Comment: 73 pages, 28 figure