many physical of the procedures related to climate change are not perceived thoroughly. Scientific knowledge used to show those procedures completely, and to analyses forecasts is so complex, since most current studies about climate physical model have been done through semi experimental and random models and most of the current analysis techniques are still going through early stages. One of the important aspects of this study is modeling physical procedures of sea level rise geographical pattern, which is used practically for SLR threat evaluation of special geographical location, meaning Caspian basin. Since Caspian basin is a closed sea, it is heavily influenced by climate change and meanwhile is changing due to physical level and environmental change. It is necessary to define Caspian coast climate change possibility with specific focus on climatology and meteorology fine data, also to define the scale of sea level fluctuations for the sake of exact planning in different fields. This study aims at presenting a new dynamic method, via using an integrated model system named SIMCLIM, which can clarify SLR satellite changes well. According to scientific examination existing in this study, based on scatter scenario 4. 5 RCP and 8. 5 RCP for the following years, until 2100, temperature and precipitation change proposal have been presented. On one hand, Caspian coastal climate change analysis and estimation were based on climate patterns and water flows in the form of regional climate statistical model in order to simulate and forecast, on the other hand surveying chronological changes of Caspian sea coast slope with satellite height measurement was done to measure sea surface height fluctuations The present study has used SIMCLIM model for the first time in order to clarify Caspian sea level changes, elements, and effective climate reasons, all simultaneously in one project. The project base is according to coastal systems and procedures. Coast line shore change simulations are based in Bruun law. In future the frequency and intensity of extreme events temperature and precipitation will increase. Extreme events illustrate changes in extreme temperature and precipitation measures, in comparison with the base period of 1981-2010 which convey precipitation sum or the temperature beyond 95 percentile of base period. Temperature and precipitation coefficient of variation for the whole Caspian basin is positive and it varies from 25 to 88 percent. A disordered pattern is dominating south basin of the sea. Sea level changes, considering vertical earth movements, which is 2 mm in a year, resulted from subsidence of Caspian pit seabed have been obtained for both scenarios. In general, annual sea level average while ignoring seasonal changes, is increasing consistently and it was calculated 1. 22 cm each year according to high estimation procedure in scenario 8. 5 RCP and it was 0. 93 cm based on scenario 4. 5 RCP. Predicted results were compared with real results of base20-year period from 1995-2015. Base period results in three levels of sensitivity of low, mid, high shows 8. 4, 10. 1, and 11. 8 cm rise; after comparing them with model forecast results, meaningful coordination at the level of 95 percent was found out. In both scenarios, all over the Caspian shoreline water advance and destruction will exist. In the worst case scenario of 8. 5 RCP of 2030, current coast will decrease about 23 meters and in 2060 it will be about 53 and in 2100, there will be 117 meters advance towards land. Precipitation and temperature percent for 2030, 2060, 2100 will change increasingly. Spatial variability and annul coefficient of variation are various in different regions. North, western north, eastern north and east will include the least temperature fluctuations, and the highest percent of precipitation with the highest coefficient of variation all convey chronological period precipitation distribution with disordered accumulation and more local difference in this region in comparison with other regions. Then Caucasus mountainous region will have the highest increase in precipitation with a suitable scatteredness, during a year. The southern part of Caspian Sea will be with the highest increase in temperature and the least amount of increase in precipitation in percent. High coefficient of variation in this area illustrates abnormal and disordered pattern on the threshold of precipitation for both scenarios. fluctuations in sea level based on subsidence of Caspian pit seabed was calculated. In general, average annual sea level is increasing which will be 1. 22 cm, per year for scenario RCP 8. 5 and 0. 93 cm for scenario 4. 5. Due to incapability of world community in decreasing releasing greenhouse gases, it is expected scenario that 8. 5 RCP to come to reality. Caspian Sea shoreline is influenced by water advance and destruction. The difference between two scenarios in 2060 will be 3 meters and in 2100 will be 12 meters. Instinctually, such advances in coasts with less depth and less slope will be more. This study suggests that coastal changes are inevitable. However, this region inhabitant owns no systems or no systems have not yet developed to aid them be able to adopt with the climate changes.

Introduction: Ethical leadership is leadership focused on appropriate behavior through respect for ethics and values, as well as the rights and dignity of others. Ethical leadership can add value to businesses by motivating employees and fulfilling company values. Therefore, the present research was conducted with the aim of analyzing the relationship between ethical leadership and cooperative social responsibility and the moral climate of the organization. Material & Methods: The current research is applied in terms of purpose and descriptive and correlational in terms of data collection method. The statistical population of this research included all employees of Management and Science University (MSU) in Malaysia. Among them, 200 people were selected as the research sample using a simple random sampling method. A standard questionnaire was used to collect data. The data was analyzed by structural equation modeling method. Results: The results of statistical analysis showed that ethical leadership has a direct and positive effect on cooperative social responsibility and ethical climate. Also, moral climate has a direct and positive effect on cooperative social responsibility. At the same time, ethical leadership has an indirect and positive effect on cooperative social responsibility through the mediation of ethical climate. Conclusion: Ethical leadership can affect their social responsibility by inspiring employees to motivate and align with the company's values. The results of this research showed that ethical leadership leads to greater employee satisfaction and collaborative responsibility and leads to the formation of an ethical atmosphere in the organization

Plant development can be defined as a programmed qualitative change in plant form, which leads plant to maturity, and researchers call it as phasic development or phenology. Recognizing the timing of occurring each development stage is necessary for managing system in order to yield increment. The timing of occurring development stages depend on climate, genotype specifications and sowing date then determination of these times in different regions is difficult and it is only possible through the using of crop simulation models which can predict the timing of occurrence each development stage by integrating effective factors. The model was constructed based on linear equation of plant temperature response. In order to model evaluation two experiments were carried out in agricultural and natural resources research center of Khuzistan in 2003-2004 and 2004-2005 cropping years. Wheat development stages were determined based on Kirby and Appleyard’s scale by stereoscopic microscope and required GDD for each development stage as well. The constructed model was calibrated and run for simulation. Comparison of simulated and observed data showed that the model can strongly predict wheat development stages.

The increase of greenhouse gases caused imbalance in the amount of air and water in the Earth, which called climate changed. Increasing the greenhouse gases not only impact on the weather parameters, but also impact on water resources, agriculture, environment, health and the economy as well. For the effects of climate change on different systems in the future, first the climatic variables which are affected under the greenhouse gases should be simulated (different climate scenarios). There are several simulation methods where the climate model methods are most suitable. The AOGCM model is able to simulate global climate in large scale, while not suitable for small and regional scale. So, it is necessary to identify the variations (climate) in small scale. For this reasons it is necessary to use the downscaling methods such as dynamic methods which are based on high resolution and analysis of climate models. This method is suitable and appropriate for Iran since it suffers from lacks of observed data as well as lack of long term and enough stations in the country. In this study, PRECIS model (a dynamical downscaling climate model) was evaluated for simulation of precipitation and temperature. In general, the results of PRECIS model indicate this model can be a good estimate of temperature and precipitation in the region. Although for the rainfall in autumn and spring, due to the local nature of the precipitation, the model is not very strong. Also, comparison of spatial and point evaluation of the model showed that areal evaluation is appropriate as opposed to a point.

Purpose: Resilience in start-ups is a challenging issue that has caught the attention of policymakers and business owners. The present study is an attempt to provide a model for designing the resilience model of start-up businesses as a path to the future of start-up businesses. Method: This research is practical in terms of purpose and from the perspective of data collection is a qualitative research that has been done by content analysis method. The data collection method is semi-structured interview. Interviews with participants continued until they reached the theoretical saturation point, which was achieved by conducting 15 interviews. Participants were selected by snowball and purposeful method and data analysis was done through three coding steps (open, axial, selective) with MAXQDA2020 software. Findings: Based on the research results, the components of "cognitive resilience, financial resilience, adaptive resilience" as well as the effective organizational factors of "precedent, drivers and boys and resilience consequences" were identified. In this research, foresight and futures studies were identified as the drivers of resilience of start-up businesses. Conclusion: Resilience enables businesses to respond effectively to the dynamic conditions of their environment and maximize their competencies through strategic foresight and as a result gain more value than their competitors in the field of business. In this regard, the integration of foresight in the process of business resilience can be suggested as a facilitator of drivers.

Today, one of the most widely used natural language representation methods is meaning representation for text processing in different systems. Meaning representation methods have had many applications in the field of natural language processing in recent years, including automatic text summarization systems and question and answer systems, etc. Many text expressions may be different in terms of grammatical structure, but they are the same in terms of meaning, so how to apply a single and uniform meaning to them is one of the challenges of text processing. The main goal of this paper is to design an Integrated Semantic Representation (ISR) model for natural language. The proposed model, while maintaining its simplicity in annotation and understanding, does not depend on specific natural language features or on syntactic and lexical structure. In this regard, several examples in both English and Persian language, which have different in terms of written and grammatical structure, are presented in this paper. Moreover, by using the proposed model, the same representation is provided for texts with the same meaning and different grammatical structure. The proposed model is designed in graph and list format is recommended to annotate its corpuses. One of the main features of this model is that it can represent semantic relations at both sentence-level and document-level and is able to represent complex and important linguistic phenomena such as aspect, tense, and quantification. The simplicity of the proposed model helps to avoid making language processing slow or complicated in various applications, and the preparation of structures based on this model for different natural languages will not be too complicated, so that it can be used both for natural languages with low resources and for those with various resources. Further, features of the proposed model are compared with one of the most important related works.