فهرست مطالب hassan rashidi

Jujube is a tree that needs little water and has a very useful fruit. Jujube fruit has a significant amount of vitamin C and mineral salts needed by the human body, and on the other hand, many functional compounds such as polyphenols and flavonoids have been identified in Jujube fruit. These compounds have been considered as anti-cancer compounds due to their antioxidant properties. Currently, jujube is considered a native species in areas such as South Khorasan.Fresh jujube fruit has a limited shelf life and therefore needs to be processed to prevent product spoilage and long-term storage. Fruit drying has been used as a dominant method since the past, but today, based on market needs and with the aim of diversifying and increasing quality, several processing methods are used. In this article, various products produced from jujube fruit in Iran and the world (sponge cake, bread, snacks, drinks, vinegar, flour, beans, chips, oil and essence) are discussed.

In terms of purpose, the present research is applied and in terms of research method, it is included in descriptive survey research. The information was collected by library and field method. The research data using a standard integrated questionnaire to measure the variable of reliable leadership from the standard questionnaire of Walomba et al. (2008), to measure the variable of job transformation from the standard questionnaire of Timms et al. It was collected from the standard questionnaire of Bhattacharya (2005) and finally to measure the organizational performance variable of Hersey and Goldsmith (2003), in the form of a Likert scale. The statistical population in this research is all the employees of Sepeh Bank in Houzestan province. According to the statistical population of 1800 people, 317 people formed the sample size of the research based on Morgan's table. In order to measure the reliability of the variables, McDonald's Omega test was used, and the numerical value of this coefficient for the standard questionnaire was equal to 0.863 in general. SPSS and pls version 3 statistical software were used for the inferential analysis of the research data. The findings showed that reliable leadership has a positive and significant effect on organizational performance and job transformation with T-statistics of 8.029 and 7.131, respectively, and job transformation on organizational performance with T-statistics of 5.580. On the other hand, the VAF index to determine the mediator variable showed that there is complete mediation, and the role of human resources flexibility modifier was also confirmed with the t-statistic of 8.631. The results of the research indicated the positive and significant impact of reliable leadership on the performance of the organization with the mediating role of job transformation and flexibility of human resources

Today, modern public administration emphasizes on shrinking the size of the government and decentralization of government structures and provides the conditions for the entry of new institutions to realize this. Governments face many challenges in their public administration due to facing numerous economic and administrative problems. Downsizing is a management tool to reduce costs and increase productivity. It is clear that the administrative system of our country does not have the necessary agility at the moment. This problem arises from two issues. One is the vastness and imbalance of the country's administrative system, which has caused its lack of activity, and the other is that the government sector does not have the necessary systemic balance and different sectors have uneven growth. Therefore, the aim of the current research was to design a downsizing model in the public sector.

This research is fundamental in terms of its purpose and a qualitative method has been used in it. In terms of inductive approach and strategy used in this research, thematic analysis was used. To answer the research question, library studies and literature review have been used. Maxqda2020 software was used for data analysis.

The findings showed that 145 basic themes, 41 organizing themes and 13 comprehensive themes were identified.

The public sector downsizing model has 13 main dimensions including downsizing requirements, building capacity for downsizing, downsizing strategies, downsizing methods, downsizing operational solutions, good governance, politics The government's macro issues are the structure of the government system, financial pressures and government debt, technology and innovation, and the effects of downsizing.

The widespread outbreak of the COVID-19 virus has resulted in an increase in hospitalizations and mortality in healthcare centers, directly affecting healthcare personnel, especially nurses. Resilience stands for one of the key non-cognitive skills that can ensure nurses’ optimal performance during crises. Hence, the present research was aimed at identifying the status of factors affecting resilience among nurses involved in the COVID-19 crisis at Shohada Hospital in Dehloran (Iran).

This mixed-method study (qualitative-quantitative) was conducted in 2021 (Solar year 1400). Respectively in qualitative and quantitative parts, the research sample consisted of 18 academic members and executive managers in the healthcare sector and 118 nurses at Shahid Dehloran Hospital in Ilam province (Iran). Data collection was performed using semi-structured interviews and questionnaires. Qualitative data analysis was conducted using MAXQDA2020 software, and quantitative data analysis was performed using confirmatory factor analysis, AMOS 26, and SPSS 26.

The factors influencing the resilience of nurses were categorized into three main themes: personal factors (motivation, stress, personal life, Becoming obsessed, balance in personal life, resilience in personal life challenges), organizational factors (mental and psychological health, organizational leaders’ responsiveness), and environmental factors (lack of cooperation, lack of facilities and equipment). According to the results, among personal factors, motivation (R=0.88), among organizational factors, mental and psychological health (R=0.83), and among environmental factors, the lack of facilities has the most significant effect on nurses’ resilience (R=0.75).

The findings highlight the considerable and significant impact of personal, organizational, and environmental factors on enhancing nurses’ resilience. Based on the research results, the proposed conceptual model can serve as a suitable mechanism for hospital managers to enhance the healthcare staff’s resilience.

In today's world, software tools play an important role in speeding up software development, reducing development costs and human efforts, as well as increasing reliability. In software development by tools, choosing a suitable tool will be a difficult task because many of them are available with different capabilities. On the other hand, little research has focused on the classification of these tools and their comparison. This paper aims to perform a literature review of software development tools and to propose architectures for the requirement of the Organization of Small Industries and Industrial Towns of Iran (OSIITI), in Iran. We did a survey over more than 50 software development and programming tools. The results of this survey identified ten classes, namely (a) Database Tools; (b) Integrated Development Environment; (c) Software Development Frameworks; (d) Data Science Tools; (e) Source Control Tools; (f) DevOps Tools; (g) Unified modeling Language (UML) Tools; (h) Cloud Tools for Software Development; (h) Prototyping Tools; and (j) Notifications Programs. For each class, we collected the most software tools that are currently used with their major features. After that, two architectures, based on layered and service-oriented patterns are proposed for OSIITI. The ten specified classes, along with the tools in each class, are very useful for organizations like OSIITI who want to develop software, for both small and large projects.

Many different complex systems display emergent behavior, and quite a few of these systems have been studied in the past. The science of complexity, popularly known as chaos theory, deals with emergent systems in other fields. Designing emergence is something of a paradoxical task because one of the defining aspects of emergent behavior is that it occurs only after a system is put into motion. In this paper, we begin with the definition of complex systems. Then, we describe the continuum between strictly ordered systems and entirely chaotic ones and show that emergence takes place somewhere between the two. After that, we survey and show how gameplay emerges from the complex system. Our survey points out that three structural features of complex systems contribute to emergence: (a) active and interconnected elements; (b) feedback loops; and (c) interaction at different scales. To show the active and interconnected elements, we explain cellular automata as an example of simple systems that can produce emergence in games. Moreover, we described how a system can be stabilized/destabilized by feedback loops and how different behaviors may emerge in a system at different scales, along with particular games. In this survey, we identified seven classes of emergence that can be considered in games. These classes are Simple, Weak, Multiple, Strong, Cluster, Hub, and Complex Emergence. These classes are produced by different combinations of feedback loops and interactions among the elements of a system at different scales.

One of the factors cause to decrease liquidity, economical crisis and inflation is banking debit memos. As Iranian economy is bank-oriented, so constantly macro memos may lead to economical downturn. Recently a list of banking debit memos published, so it is concurrent to detect the effective factors on collecting non-current debts in order to make better economy. The present study is applied, descriptive-survey and adaptive analytic one. The population included 16 banking managers and experts (quality aspect) and 169 kegal managers and community of banking debts. The quality findings shown that there are three main organizational factors(intra-organizational and external-organizationl sub factors), predictive factors (physical and non-physical sub-factors) and social one(positive and negative). The quantitative findings expressed that intra-organizationa, external-organizationa, physical, non-physical and positive social factors cause to positive effects and negative social factors consist of negative effects on collecting non-current large debts depends on declaration banking debit memos

With the rise of cloud infrastructures, micro-services, frameworks, and reference architectures for every conceivable domain and quality attribute, someone might think that architectural knowledge is hardly needed anymore. But all the architect of today needs to select from the rich array of tools and infrastructure alternatives out there, instantiate, configure them, and create an architecture. Software architecture tools mean any software that helps automation and create architecture, according to requirements. The purpose of these tools is to reduce human effort, speed up software development, and increase reliability. This paper aims to perform a literature review of software architecture tools and to propose architectures for the requirements of the Organization of Small Industries and Industrial Towns of Iran (OSIITI). We surveyed more than 50 software architecture tools for use in practical situations and large-scale projects such as OSIITI’s needs. The results of this survey identified five classes, namely (a) Modeling Tools to model architectures; (b) Code-Based Tools (Diagrams-As-Code) to perform syntactic and semantic consistency checking of the models; (c) Automated Tools to generate executable source code automatically that implements the models; (d) Diagramming Tools and (e) Icons-Based Tools to support for trace links between models and requirements or models and tests interfaces. For each class, several software tools are provided with their major features. These classes and tools are very helpful for organizations such as OSIITI that want to develop software, in both small and large-scale projects. A couple of architectures, based on layered and service-oriented patterns are proposed for OSIITI.

Erynjium is a herbal medicine that is used in the treatment of diabetic patients. In this research, optimization of the extraction of bioactive compounds from Erynjium plant was done with the help of ultrasound waves (with constant intensity and for 5, 15 and 20 minutes) using three types of solvents: water, ethanol (99%) and ethanol (80%). Erynjium plant was completely ground and mixed with solvents at a ratio of 1 to 3 at ambient temperature and the extract was extracted within 24 hours and the extraction process was repeated with fresh solvent. The extracted extract was desolvated at a temperature of less than 45 degrees Celsius and tests were performed to determine the extraction efficiency (percentage), the amount of phenolic compounds, FRAP and DPPH, in three replicates. Data were analyzed using one-way analysis of variance and mean comparison (Duncan's test at 5% level). The results showed that water solvent and 20 minutes of ultrasound significantly produced the highest amount of extract (11.21%). 80% ethanol during 20 minutes of ultrasound resulted in the extraction of the highest amount of phenolic compounds (96.77 mg/g), free radical uptake (1.96 mg/ml) and the highest FRAP (918 micromol FeIII/L). The results showed Performing the ultrasound process for 20 minutes and using 80% ethanol solvent resulted in extracting the extract with the highest antioxidant power.

This research was carried out with the aim of producing functional reduced fat cream containing natural gums. The gums used included tragacanth at two levels (0.3 and 0.4%), olibanum at two levels (0.2 and 0.3%), and Farsi at two levels (0.5 and 0.7%). . The amount of cream fat was set at 15%. Watering amount (grams), viscosity (centipoise) and sensory texture were measured for each of the treatments. The results were analyzed in the form of a completely random design with 3 repetitions of analysis and average comparison. The results showed that the highest viscosity was observed in the cream sample containing 0.4% of tragacanth, 0.3% of olibanum and 0.7% of Farsi gum. Also, the amount of watering in this treatment was observed in the lowest amount. Finally, the sensory test of the texture showed that according to the judges, this sample had a more suitable texture. According to the results, production of low-fat cream containing 0.4% of tragacanth, 0.3% of olibanum and 0.7% of Farsi gum are recommended.

Requirement engineering is one of the critical phases in the software development process. Functional Requirements (FR) and Non-Functional Requirements(NFR) are two of the fundamental requirements in software projects that are observed in the classifications of most researchers in the software engineering field. Conflicting and overlapping among the requirements in both intra and extra communications levels are one of the main challenges in the elicitation and prioritization phases. This paper presents a decision strategy to respond to this challenge called requirements conflicts management strategy (RCMS). This strategy is defined to manage conflict and overlap of NFRs in the prioritization of the constraints satisfaction model for requirements prioritization, known as "CSOP + RP" model, to which the necessary constraints are applied. RCMS is applied to the "CSOP+RP" model as a pre-processing phase by the requirement analyzer and the results are delivered to the system manager. RCMS is founded on several components: the conflicts catalog among NFRs, the mapping model of NFRs to the domain of software systems, and the calculation of Pearson correlation coefficients in NFRs. The negative, positive, and zero values of the correlation coefficients are calculated on the importance of the requirements, which mean conflict, overlap and neutral, respectively. RCMS was implemented on Police Command-and-Control System(PCCS) as a designed case study with specific NFRs and FRs. Therefore, the statistical analysis of the experimental results shows that the proposed strategy increases the accuracy of the input values of the prioritization model and better decision-making in managing conflicts and controlling overlaps. Furthermore, RCMS help to reduce the ambiguities between NFRs and FRs and also influences of NFRs in requirement ranking by the search-based prioritization approach.

Due to the important role of tourism in the development process of the country, managers of the tourism industry are always facing the challenge of attracting tourists and gaining satisfaction. The purpose of the research was to investigate the effect of cultural events and mental conflict on the image and intention to visit the destination among tourists in Sarab Meime. The statistical population of this research includes the tourists of Sarab Meime district of Ilam province in the spring of 1400. Due to the uncertainty of the number of tourists in the aforementioned area, the sample size was 385 people, which is the highest sample size. In terms of purpose, the current research is applied and has a survey nature of correlation type based on structural equations. The required data has been collected with a questionnaire tool which has acceptable validity and reliability. The results of data analysis using the method of structural equations with Smart Pls software showed that cultural events and mental conflict have a positive and significant effect on the image and intention to visit the destination among the tourists of Sarab Meime. In fact, the overall appropriate image and intention to revisit the Sarab Meime district requires attention to the event brand, structural components, cultural events, place brand, tourist's mental involvement, overall image, cognitive image and emotional image of the destination. Tourism managers and marketers should pay special attention to these basic and important factors.

The purpose of this research is to identify and introduce effective factors in adoption of e-learning based on technology adoption model. Accordingly, by considering the studies conducted in this field, several variables such as computer self-efficacy, content quality, system support, interface design, technology tools and computer anxiety as factors influencing the adoption of e-learning system were extracted and based on them, a conceptual model of research was developed. To measure the model and the relationships between the variables in the model, a questionnaire was designed and provided to users of the electronic education system of Qazvin University of Medical Sciences. The results of the data analysis confirmed the correctness of all hypotheses using the structural equation modeling method, except for the effect of technology tools on the acceptance of the e-learning system. The findings of this study will help university administrators and the professors associated with this system to encourage students to make effective use of the system by creating the necessary background for effective factors.

Determining the position and importance of scientific groups in the operational structure of the university and its important role in improving the quality of educational and research activities of the university's affiliated faculties is one of the important issues for universities. Some universities have provided simple models for classifying scientific group, but there is still no coherent and complete system for ranking scientific groups in universities. The main purpose of this study was to provide a suitable model for ranking scientific groups in universities and higher education centers in the country. In this qualitative research, the methods of qualitative content analysis and semi-structured interviews were used. Qualitative content analysis was done inductively and semi-structured interviews were conducted with research participants on the topic and how to rate and rank categories and subcategories. To analyze the data obtained from semi-structured interviews, interpretive analysis method was used and finally the components of the model and their scores were extracted. Mission, goals, organizational position; training courses and curricula and non-curricula; science Committee; Students; Learning / teaching strategies; educational facilities and equipment; theses and dissertations, seminars, research contracts of chairs and graduates were components of the ranking model of scientific group in Iranian universities and higher education centers.The results of this ranking model can be used for all scientific groups and fields of study. It will also be useful to develop this model in the form of a mechanized system for different uses such as comparing academic departments in universities and leveling faculties.

The positioning of robots, relative to the origin of coordinates, is a crucial issue for autonomous robots. The purpose of the positioning is to find Cartesian coordinates and to position the robot body in a global coordinate system. In this paper, an image-based approach is proposed to robots positioning. In this approach, the pixels for the lines in the ground are specified in the original image. These pixels are replaced by a numerical value of zero and other pixels with a numerical value of one. The image obtained from these points is converted to an image taken from the top view using a reverse perspective transform. Then using the Hough line, the angle of the longest sequence is obtained from the zero values. This angle is used to correct changes resulting from the rotation of the image. In the next step, the information obtained is processed as a matrix containing zero and one using the Particle Swarm Optimization (PSO) algorithm and the coordinates of the location of the robot are determined from the origin. In this paper, an efficient target function is proposed for use in the PSO algorithm. The most important feature of this approach is the use of an Inverse Perspective Map (IPM) transformation to eliminate perspective effects. This method is resistant to changing the size and shape of various forms within the ground. To test the proposed method, positioning for soccer robots is used. The experiments show that the proposed approach has high accuracy in detecting the robot position. The main application of this algorithm is the positioning of airplanes and military missiles based on aerial imagery without the need for a global positioning system (GPS). It can also be used to increase the accuracy of the global positioning system.

In recent days, there have been many recommendations on social media about eating healthy fruits to strengthen the immune system and corona resistance. Therefore, it is very important to identify spoiled fruits at this time when human society is concerned about coronavirus and the human body needs healthy fruits in case of this disease. This paper proposes a method to identify the type of defects found in orange fruits. We used a machine vision system to capture sample images, which includes a charge-coupled device camera, black box, lighting system, and personal computer. The citrus fruits are classified into eight classes, including Wind scar, Stem-end breakdown, Snail bites, Thrips scar, Scale injury, Medfly, Rings, and Calyx, depending on the type and model of the defects. In the proposed method, classification by the neural network with the help of co-occurrence matrix for four angles θ=0°, 45°, 90°, and 135°, were extracted to identify various defects and 24 features related to the areas with defect in citrus. For the final classification of defects in citrus, after evaluating many classification tools from various tools available, Feed-forward Back Propagation Neural Network (FFBPNN) is used. The result of the neural network classifier was obtained with the help of the co-occurrence matrix by taking four angles (horizontal, right diagonal, vertical, and left diagonal) with an accuracy of 89.65%. The evaluation shows acceptable results compared with similar studies. It is a reliable method in the food classification industry with reasonable accuracy.

The efficiency of ports and container terminals is strongly related to the process of loading containers onto and unloading containers from the docked ships. In this research, an issue of integrated equipment management in automated container terminals with the aim of increasing efficiency has been studied. Due to this issue falls into NP-Hard problems, it was divided into two sub-problems: Allocating resources to containers and arranging the containers serviced by automated guided vehicles. Both sub-problems were formulated and expressed using the linear integer-programming model. The first sub-problem is solved by the allocation of random process resources with uniform distribution and the second part is solved using a Sorting Genetic Algorithm. The main parameters of the proposed solution methods were determined with Minitab software and Taguchi techniques. In order to evaluate the efficiency and effectiveness of the proposed solution methods, many numerical experiments have been examined and evaluated. The experimental results show that the proposed solutions are efficient for estimating the service time and the number of automated guided vehicles required to transporting the containers in the container ports.

Soil is an essential natural resource for life that provides the required substrate on which plants grow and flourish. One of the challenges for environmental specialists is to accurately estimate and control soil erosion. MPSIAC (Modified model of Pacific Southwest Inter-Agency Committee) is a common model for estimating erosion and sedimentation rate. In this study, we used MPSIAC, regression and artificial neural networks (ANN) to estimate sediment yield in Kordan Basin, a region in Alborz Province of Iran. The erosion and sedimentation data of the region were collated using the opinions of sedimentation experts. A linear regression was performed in Weka software to determine the factors influencing the sedimentation rate. Based on the results and the opinion of the experts, the factors with less impact on the sedimentation were removed. ANN was implemented using NeuroSolutions and Matlab software. The neural network was a Multi-Layer Perceptron (MLP) with one hidden layer and five neurons. The hidden layer consisted of tan-sigmoid activation function, and the output layer had a linear-sigmoid activation function. The algorithm used for training the neural network was Levenberg-Marquardt. The ANN results were superior to that of regression and the Matlab's output was more accurate than that of NeuroSolutions, with a mean square error of 0.009 for sediment yield. Finally, Matlab's neural network was extracted in the form of a function for later applications without the need to further training.

Increasing rate of novice technology in global marketing arises some challenges in the economic enterprise planning. One of the appropriate approaches to resolve these challenges is using rough set theory along with decision making. In this paper, a decision support system with an algorithm based on rough set theory is provided. The proposed algorithm is implemented for a product line in one of the organizations under supervision of mining, industry and trade ministry. The variable effects on the enterpise aims are evaluated by analysing the strength and support criteria of rough sets. The rules are classeified as three different classes and 3 out of 12 have high reasonable averagewhie the last 3 have a relatively high violation probability. The other rules have heterogenious distribution and are not certain. The advantages of the proposed system are avoidance of enterprse capital wasting, prevention of errors due to data uncertainty, and high precision of decitions. The decision makers in the enterprise validated the increasment of simplicity and speeds of vital decision making by using the proposed system.

This study aims to produce drinkable flavored milk using berry juice (as a source of functional compounds), cacao and various hydrocolloids such as inulin, guar gum and gelatin as stabilizing in both low and high fatty formulation. The stabilizers included inulin, guar and gelatin (at levels of 0.25 and 0.5%). In all samples, the amount of berry juice was the same. The results showed that application of stabilizers significantly (P< 0.05) decreased pH and increased acidity. Studies also showed that the viscosity and sedimentation rate of the samples were completely dependent on the presence of hydrocolloids and fat in their formulation. So that, increasing the amount of hydrocolloids and fat in the formulation significantly increased the viscosity of the samples and reduced the deposition of the particles in the product, thereby stabilizing the final product. High-fat formulation with high levels of sustainability yielded higher overall acceptance in the study of sensory properties, too. In general, the treatment containing 0.5% inulin, 0.5% guar and 0.5% gelatin as a stabilizer resulted in improvement of the physical and sensory properties of the functional drinkable milk.

The aim of this study was to investigate the effect of ethical leadership and organizational trust on job motivation with the role of modifier of general selfefficacy. The present research is applied in terms of purpose and in terms of research method is among the descriptive survey research. The information was collected through library and field methods. To measure the variables, multiple-choice questions from the Elias et al.20 Standard Questionnaire (2020) including the variables of ethical leadership (questions 1-10), organizational trust (questions 11-22) and self-efficacy (questions 23-30) and the standard Hackman Job Motivation Questionnaire. And Oldham (1975) included (Questions 31-45) and used the five-point Likert scale. The statistical population in this study was 300 employees of Chaharmahal and Bakhtiari Province Water and Sewerage Company. Using Morgan table, the statistical sample size of this study was 169 people. Sampling method in this study is simple random sampling. Cronbach's alpha the numerical value of this coefficient for the standard questionnaire was generally 0.916. For inferential analysis of research data, structural equation modeling technique has been used in Smart Piels (PLS) software. Findings showed that according to the tstatistic of 4.206 which is more than 1.96, ethical leadership has a significant effect on motivation at 95% confidence level. Also, according to the T-statistic of 5.832, which is more than 1.96, organizational trust has a significant effect on motivation at the 95% confidence level. Finally, due to the lower t-values in the moderator variables, the role of general self-efficacy modulator was not confirmed. The results showed the effect of ethical leadership and organizational trust on employee motivation.

In this study, the effect of different amounts of flaxseed extract (0, 2.5, 5, 7.5, 10, 12.5 and 15%) on the physicochemical and rheological properties of kashk was investigated Then, in order to better understand the effect of flaxseed extract on the evaluated properties, Sensitivity Analysis (SA) of selected regression models was performed. The results of analysis of variance showed that the effect of flaxseed extract concentration on moisture, fat, protein, pH and solubility of kashk samples was significant so that according to the results of sensitivity analysis for each one percent increase in flaxseed extract about 4.38% moisture, 11.82% fat and 0.78% pH of the samples increased. Also, for each increase of one percent of flaxseed extract, about 7.01% of protein and 2.72% of solubility of samples were reduced. Therefore, according to the results of sensitivity analysis, fat had the highest sensitivity and pH the lowest sensitivity compared to physicochemical properties to changes in flaxseed extract. Also, the results of analysis of variance of the samples showed that the effect of flaxseed extract concentration on all parameters of Herschel model (flow behavior index, consistency coefficient and yield stress) was significant So for each one percent increase in flaxseed extract about 9% consistency coefficient and 11.82% fat and 9.03% the yield stress of the samples increased.

Using the Internet of Things (IoT) for intelligence of buildings and homes has posed many challenges. One of the main challenges in implementing IoT is the energy consumption of its equipment, so that leads to the short life time of equipment in networks like this. Various solutions have been proposed to achieve the goal of reducing energy consumption and increasing the life of nodes. The purpose of this study is to reduce energy consumption, increase the number of packets sent to the destination, increase the equipment life time in this type of network, and cover them more. To achieve this goal, the LEACH protocol is proposed instead of the probability distribution of fuzzy logic, in the cluster selection phase. The LEACH routing protocol is an organized one that distributes loads over sensor networks. In this protocol, nodes organize themselves into local groups, with one node in the group acting as the group leader. In this proposed method, a very small number of nodes are targeted in active mode for tracking, and the remaining nodes are switched to inactive (dormant) position. In this paper, the proposed method is compared with the H-LEACH protocol, which is the basis of tracking in important articles published exactly under the same conditions. Duo to boosting remaining energy in this method by 49.75% and reducing the sent packages by 36.44%, it is concluded that the proposed method performs better than the H-LEACH protocol in increasing the network life.

Nowadays, the competition between banks and financial institutions for attracting, retaining and retaining customers has intensified and there are many methods such as advertising, facilities, deposit interest and so on. But one of the methods that, as an important and vital factor, helps in this direction, which can establish the organization among competitors both in terms of cost reduction and in the long run, is the agility of the organization. The aim of the present study was to identify the factors that create organizational agility in Sepah Bank in Khuzestan province with a mixed approach. The research method with a mixed approach (qualitative-quantitative) which in the qualitative part in terms of purpose, fundamental and exploratory type and in the quantitative part in terms of purpose, is applied and descriptive-survey type. The statistical population of the research in the qualitative part includes 15 experts and in the quantitative part all the employees of Sepah Bank in Khuzestan province, which according to Cochran's formula was 235 people. After analyzing the data in the qualitative section using Max QDE software version 2020 and in the quantitative section with SPSS and Amos statistical software, it was determined that: In the findings of the qualitative section, 16 components and 5 categories (Product variety, training, facilities, communication and convenience) were obtained. Also, in the findings of the quantitative section, the variables of product diversity, training, facilities and ease had a positive and significant effect on organizational agility, but the effect of communication variable on organizational agility was not confirmed.

The aim of this study was to add flaxseed extract powder to Kashk and increase its usefulness and health. In this research, fresh yogurt was used to produce Kashk. Yogurt was drained to a solid of 16.5% and then mixed with 2.5, 5, 7, 10, 12.5 and 15% flaxseed extract powder. Then the produced Kashk was dried with a spray dryer. The tests carried out on the product (Kashk powder) include chemical tests (moisture, fat, protein, pH and acidity), sensory tests (taste, color, odor, taste and general acceptance) and physical tests (solubility and viscosity). The results of this study indicated that with the increase in extract content, pH, moisture and fat content increased and acidity and protein content decreased significantly (p ≤ 0.05). Regarding the physical properties, the results showed that increasing the amount of flaxseed extract in the Kashk powder caused a decrease in solubility and a significant increase (p ≤ 0.05) of viscosity. Sensory evaluation of Kashk powder samples showed that the addition of flaxseed extract reduced the product color scores. Also, the highest amount of consistency score was belonging to the sample with 15% flaxseed extract, which had a significant difference (p≥0.05) with other samples. Addition of flaxseed extract did not have any significant effect on odor scores of different samples. On the other hand, the results showed that the addition of flaxseed extract up to 7.5% did not have a significant effect on the taste scores of the samples, but in higher amounts, significantly decreased (p ≤ p ≤ 0.05) taste scores which were mainly due to the bitter taste. Similarly, the overall acceptance score in samples with a maximum of 7.5% of the flaxseed extract was similar to the control sample, and after that, with the increase of the flaxseed extract, the overall acceptance score decreased significantly (p≥0.05).