bluuebunny/crossref_metadata_2025_split huggingface dataset:
What is the Priority of factors affecting on accountants motivation from motivation dimension
Authors: Reyhani Fatemeh , Dehghan Dehnavi Hassan 
Published: March 2022

Objective: Theorists know effective management of human resources as the key to organizational and they are very fast-moving organizations toward technology role of human as a vital and strategic organization is more and more considered. In the global market, modern organizations are faced with high levels of competition. In the wake of increasing competition in the global market, the survival of many companies that depend on human resources. Methodology: Performance like abilities, knowledge, skills and other abilities plays an important role in the success of the organization. Hence the human resources management system in any organization due to the continuous changes in the environment cannot be a static phenomenon. Subject of motivation of human resources issues that require special attention in the management of organizations. The aim of this study was to identify and rank the factors affecting the motivation of accountants with the first technique (FTOPSIS). Results: in this study was used Herzberg's two-factor theory. The number of factors identified in this study is its 29 that 15 of health agents and 14 were other factors of motivating factors. Conclusion: The results showed that the most important motivational factors is compatibility with educational background and skills working jobs, job stress and job attractiveness.
The Role of Information Systems in Decision-making and Public Policy Making
Authors: Vahedi Majid , Arvand Hamid 
Published: March 2022

Objective: The aim of this paper is to study the role of information systems in decision-making and public policy- making. For this purpose, the documentary attempts to review the literature and the study of books, articles, and publications, previous research and opinions of experts and professors while expressing concepts in relation to public policy and the role of information systems, information systems, and public policy decisions are examined. Methodology: The decision is to choose a solution from among different solutions to solve the problem. According to Herbert Simon, it is the major component of management and it can be considered synonymous with management. In fact, the decision can be defined how to act or move in a certain direction which is selected deliberately and consciously between various methods to achieve the desired goal. Organizations that in a successful manner can collect, categorize and evaluate internal and external information can outdo competitors. In the organization, the information will form the basis for understanding. Results: The results suggest that systems with influencing the quality, speed, and accuracy of data collected in the decision-making and affect the performance of government decision-making and public policy followed and adopted by the government agencies and public authorities. The more information systems are stronger and quicker and more accurate the more successful would be public administration to adopt policies in problem- solving. Finally, after concluding recommendations on how to use information systems is presented. Conclusion: According to what was said there is a relationship between information systems used by public authorities and efficiency and effectiveness of public policy. Information systems organizations can influence policy decisions made by government agencies and public authorities.
Investigating effect of transformational leadership on employees' and administrators' satisfaction of telecommunication general department of district 3
Authors: Vafadar Moghadam Mohammad Hossein , Mohammadi Mahmood , Bazaey Ghasem Ali 
Published: March 2022

Objective: This study aims to investigate effect of transformational leadership on employees' and administrators' satisfaction of telecommunication general department of district 3. To this end descriptive correlation study was conducted. Methodology: The population of this study consists of all 465 employees and administrators of telecommunication general department of district 3. Using simple random sampling and Cochran sampling formula 211 people were selected as sample. To collect data the researcher used questionnaire by Bass and Avoilo's leadership style, and Smith et al job satisfaction questionnaire. The validity of both questionnaires was approved by experts. The questionnaire reliability was measured by using Cronbach's alpha coefficient. Results: It showed that reliability of transformational leadership was 0.80, employees' satisfaction was 0.82. To analyze the data descriptive and inferential methods (one- sampled and stepwise regression) were used. Conclusion: The results of this study indicated that transformational leadership and its all variables (Idealized influence, intellectual stimulation, inspirational motivation and individualized consideration) have effect on on employees' and administrators' satisfaction of telecommunication general department of district 3. Regression results showed that transformational leadership's components – idealized influence and intellectual stimulation can predict employee satisfaction in telecommunication general department of district 3.
Evaluation of the Relationship between Macroeconomic Variables and Industrial Price Index in Tehran Stock Exchange
Authors: Tazik Ali , Tazik Fatemeh , Tazik Athar , Hassan Susaraie Amir 
Published: March 2022

Objective: This study investigates the separate relationships between three macroeconomic variables—the consumer price index, oil prices, and foreign exchange rates—and the consolidated price movements of a 28-industry index of stocks listed on the Tehran Stock Exchange during 2010–2014. Methodology: We hypothesize a significant and direct relation between each macro variable and price movements of the 28-industry index. To test our hypotheses, we use econometric methods that include ordinary least squares (OLS), linear regression, the Dickey–Fuller test, the Phillips–Perron unit root test, the F test, and the White test. Results: Results indicate a direct and significant relation between the CPI and the 28-industry index. However, results confirm that there is no significant relation between either the oil price or the exchange rate and the index during the period examined. Conclusion: Results confirmed a significant and direct relation between the CPI and the 24-industry index of Iranian stocks. The first hypothesis of this research was accepted. Our results confirm those of Shahidi and Bad Kobe-ee-Hezare. Their study found that the relation between inflation and stock price is direct, while this study identified the same relation between the CPI and the 24-industry index.
Effects of osmotic stress on chlorophyll and proline different wheat cultivars,.
Authors: Mirzamasoumzadeh Bahram , Mollasadeghi Vahid 
Published: March 2022

To study this, research was conducted in a greenhouse in a factorial experiment based on randomized complete blocks design with three replications disasters. The first factor included stress levels and the second-factor included genotypes. Methodology: To apply Drought stress methanol was used. Seeds were planted in plastic pots in greenhouse conditions and plants irrigation was done by Hoagland nutrient solution. The proline and chlorophyll of shoots were measured by the end of the growth stage. Results: Results suggested that genotype No. 4 with a mean of 19.25 had the highest rate of chlorophyll and genotype No. 1 with a mean of 13.25 had the lowest chlorophyll rate. Results indicated that Drought stress application could decrease chlorophyll rate while it increases proline rate. Conclusion: Decrease in plant chlorophyll decreases the photosynthetic activity. Increase in proline along with the increase in Drought level specifies the osmotic balance maintenance in low water potential. Results generally showed that increase in proline production as an osmotic regulatory mechanism in high Drought levels which decreases the seedling growth.
Identification of Potential Groundwater Zones Using RS and GIS.
Authors: Farahani Meysam Davoodabadi , Aghajani Hamid 
Published: March 2022

Exploration of groundwater resources requires recognition of regions and their potential sources. Because of high importance in the karstic regions and their significant role in providing needed water, efforts to explore new sources of Karst is inevitable. Checking discontinuities is always an important issue in karst studies. Because of high discontinuities in rock masses, permeable areas will be created, they cause appropriate groundwater paths to flow methodology: Recognition of these regions is possible through geophysical methods based on physical characteristics of these areas such as density or resistivity. Using geophysical methods in water and geotechnical methods have less history to oil field investigations and mining exploration but have been accelerated in recent years. Results: In this research, we have tried to investigate the usage of various geophysical methods, such as how to detect and identify underground water using these methods.Conclusion: We can note of geophysical applied methods for groundwater potentiometric such as geoelectric methods, ground penetrating radar, electromagnetic, gravimetry, magnetic and seismic surveys.
GIS Modeling of Earthquake Damage Zones Using ETM Data and Remote Sensing- Bojnoord, Khorasan Province.
Authors: Farahani Meysam Davoodabadi , Shahsavari Hamideh 
Published: March 2022

The devastating earthquake that occurred in Khorasan Shomali Province, Iran, on the 12th May 2008, caused widespread damage and devastation to rural communities and economy. The terrain of the entire region has been weakened and is now highly susceptible to long-term slope instability that will trouble this region for many years to come. Methodology: However, the actual intensity caused by the earthquake ranged between VIII and XI. The seismic intensity map is practical for regional guidance but lacks the detail to provide an adequate representation of the true damage level, in terms of current status and future potential in such a seismically active and populated region, especially when the hazards and risks are likely to be multiple and cascading in high relief areas. Results: This paper presents a GIS-based approach to earthquake damage zone modeling using satellite remote sensing and DEM data. The novelty is to take into account the coseismic ground deformation as an important modulating factor in modeling the susceptibility of earthquake-related geohazards, together with conventional multicriteria factors which draw on geological and topographical variables such as rock competence, slope, proximity to drainage, and fracture density. The modulating effect of the earthquake greatly enhances the susceptibility in the areas where the majority of the ensuing landslides and debris-flows actually took place. Conclusion: When this susceptibility model is further modulated by the mapped surface disruption caused by the earthquake, it is directly linked to seismic intensity and we call it “earthquake damage”. The output earthquake damage map represents both the current damage status as well as the future damage (hazard) potential.
Nitrate reductase enzyme in Escherichia coli and its relationship with the synthesis of silver nano particles
Authors: Khodashenas Bahareh 
Published: March 2022

Nanostructure materials have attracted a great deal of attention because of their potential for achieving specific processes and selectivity, especially in biological and pharmaceutical applications. Of all kinds of metal nanoparticles, synthesis of silver nanoparticles is of considerable interest due to their wide range of applications in different fields. Chemical, physical and biological methods have been introduced for the synthesis of these nano particles. Offering reliable and eco-friendly processes for silver nanoparticles. Escherichia coli bacteria is one of the earliest bacteria for this purpose. Studies showed that generally the presence of nitrate reductase enzyme is essential for the biosynthesis of silver nanoparticles using bacteria. Therefore, this enzyme and its relationship with the synthesis of silver nanoparticles have been studied in the present research work. biological synthesis of metallic nanoparticles (using microorganisms) is an important step in nano biotechnology. So far, different kinds of bacteria have been reported to be used for synthesis of
Human Culture and how it can be affected by Geomorphology
Authors: Mostafaei Shahriar , Moshiri Seid Rahim 
Published: March 2022

To date, a majority of geographers have attempted to define the manifestations for convergence between natural phenomena and human's social and behavioral activities. With regard to the results of previous studies in this context, this study seeks to examine and analyze the extent to which geomorphology and its dependant forms affect human culture. In this regard, the culture which evolves under influence of geomorphologic capabilities within the regions has been considered as an organism with various organs. As known, the culture can be influenced of various components such as religion, politics, economy and so forth. Yet, this study seeks to define how cultures can be affected by geomorphologic visions within regions; this can be rooted in ecological thinking or ethology. In doing so, to define and approve our idea in this study, views and theories of geographers have been used as the reference model, so that analysis of them has paved the way to theorize human culture and how it is affected by geomorphology. In addition, an area as research location in Paveh County, Province has been considered for data collection through field study, through which suitable outcomes have been obtained.
Model presentation to feasibility measurement of knowledge management implementation with ANP approach (case study of Post bank)
Authors: Salehi Sima , Mo'tadel D.R Mohammadreza 
Published: March 2022

The key factors to success of knowledge management are strategy, culture, technology, organization and people. knowledge and strategy both are dynamic and multilateral concepts. Nowadays knowledge is equal to power and knowledge management is created as a strategy to enhance the organizational competitive advantage and to describe the relationship between the knowledge and strategy of organizations, at first it is necessary to design a strategic plan. choosing this strategy is a multi-criteria decision making which needs to consider some complicated factors.in this research after paired comparisons analysis and weight analysis of each index and alternatives rather than key indexes, and choosing each subsidiary indexes according to each index, and finally by using the ANP technique and super decision software the last combination of the model is created and the proper option according to all indexes and sub-indexes existing in the organization is created and at last regarding to research assumptions human resources, information technology, organizational learning and organizational culture have been prioritized as key factors in establishment of knowledge management in Post bank of Zanjan province.
Identify Valuable Customers of Taavon Insurance in Field of Life Insurance with Data Mining Approach
Authors: Ganjali Masoumeh , Teimourpour Babak 
Published: March 2022

Today the most crucial tasks of mentioned organizations is to recognize and attract customers and make a distinction between different groups of customers and ranking them and trying to keep the customers. To do this, the use of customer relationship management, and measurement of customer value is helpful. The main objective of this paper is segmentation insurance customers based on the factors affecting the value of our customers. In line with this objective, all data from 2311 life insurance customers are extracted from Taavon Insurance Company in a period of one year and according to the specification of insurance policy it was clustered by use of K-Means algorithm. Based on the results, customers were divided into five clusters. According to the insurance experts view, chosen specifications were weighted. After calculating the CLV, customers were ranked. Each cluster got specific name like, “Golden Customer”, “Valuable Customer”, “Favorable Customer”, “Less Favorable Value Customer” and “Less Valuable Customer”. By discovery of association rules based on the features of insured people, golden customers cluster for study of insurer’s behavior was analyzed at first step. By use of algorithm, decision tree for life insurance data was classified based on insured feature in order to predict position of every new entrance customer in each cluster. This research can be used to develop marketing plans and develop and offer products and services for each group of customers.
New method based on Image processing to enhanced the Accuracy and Precision Of table tennis player’s performance
Authors: Almasi Mohamad 
Published: March 2022

Table tennis is one of the most popular sports in Olympic, Which leads to the high interest of it. Talent identification based on technologies play an effective role in sports. One of the essential technology in the sports is image processing and the use of this technology can improve the quality of the field from Talent identification pathway to be championship. The purpose of this paper is to present a method based on image processing, which leads to increased levels of accuracy and precision blows table tennis players in each Rally. This analysis also is important in talent identification and in professional competitions. Here is a video filmed by four cameras at a rate of 100 frames per second was used and for processing those images used from MATLAB image processing toolbox.
Codify a trihedral inventory control model in terms of inflation in state of non-allowed shortage for an incorruptible commodity
Authors: Damyad Mohammad Hassan , Jafari Davoud , Kazemipour Hamed 
Published: March 2022

this research seeks to provide a mathematical model for a trihedral inventory control system. This three-level chain, including manufacturing, warehouse and seller. In situations where a specific product is produced under inflation and the impact of inflation with exponential function is on the price of units. also in this model demand rate, production rate and Lead Time are constant. In this model, shortage is non-allowed. With these hypotheses obtains total cost function and determine limitations each of the decision variables then determine optimal order point by using MATLAB software .
Modeling width of Weld in SAW with Adding Nano Material
Authors: Kheradmandan Hasan , Barati Farzan 
Published: March 2022

One of the important methods of welding is submerged arc welding. Special features of this method give it an important position among other ways. Prediction the mechanical features of materials in welding zone is known as an important subjects in mechanical science. As the quality of welding has a direct relation with mechanical properties of materials, studying and predicting the factor of quality is very important. Certainly bead width is one of the effective factors because it shows chemical effects and metallurgical structures and micro structures. The most important property of this research is representing an empirical formula with high accuracy for modeling the bead width as an factor of quality of welding in submerged arc welding in which the input factors of arc voltage, current, nozzle to plate distant, welding speed, and the thickness of ZnO Nano particles. On this research central composite rotatable matrix method is used in five level-five factor. For achieving this empirical formula with high accuracy RSM is used.
Routing based on maximizing Output in underwater sensor networks
Authors: Arzani Galea Noy Mohsen , Aghajeri Saheb 
Published: March 2022

In this study we want to optimize routing in underwater sensor networks through considering the spatial distribution of network's sensor nodes and their energy consumption limitation such that the overload of layer routing protocol (including the number of message passing specified to routing operation and waiting time for upper layers) on network output will be decrease, The main feature of this study is simultaneously considering the model of underwater channel, geometric distribution of network and transaction of network layer and MAC sub layer is solving routing problem. In this study we present a routing mathematical model with the capacity of sink movement in wireless sensor networks. We introduce an algorithm to compute the DS in certain modeled networks as a graph. Through simulation, presented design will be evaluated and investigated ,Our presented design is Depth and Energy Aware Dominating Set based Algorithm (DEADS) ( an algorithm based on depth and energy) . In this study we applied MATLAB software for simulation. Finally we conclude that the durability and the trend of active nodes in each period of our presented design is better suggesting that the applicability and capacity of our plan was improved, Also the energy consumption of our design is as a result of more transfer number. Also, head-to-head delay is lower and partially it is followed from the same paradigm.
On Surjectivity Methods
Authors: Habibi Mooakher A. 
Published: March 2022

Let w be a pointwise semi-Cauchy class. We wish to extend the results of [33, 32] to embedded, Siegel{Sylvester, smoothly reducible lines. We show that Recent interest in elements has centered on constructing Milnor {Cardano classes. Next, unfortunately, we cannot assume that every Dedekind, semi-independent, Jordan{Perelman subgroup acting sub-canonically on a sub-unconditionally Hausdorff, globally integrable, conditionally hyper-one-to-one isometry is projective.