ali mohammadi

Atmospheric conditions represent one of the most significant natural hazards for floating units. A critical issue related to these conditions is the insufficient attention given by watch officers to accurately collecting atmospheric data from the instruments on the bridge. For instance, air pressure readings are often taken without proper corrections for instrument and altitude variations and are rarely compared to long-term averages. To address this, there is a pressing need to develop and install a system on floating units that can automatically measure atmospheric parameters. This system would calculate essential parameters from the measured data, enabling informed decision-making regarding maneuvers to avoid rough seas. This research discusses the details of establishing an automatic meteorological station capable of collecting atmospheric data from the environment, storing it in a computer, and comparing the measurements with long-term averages to identify atmospheric and oceanic anomalies.

The aim of the present work was to produce a stable nanoemulsion containing clove (Syzygium aromaticum) essential oil (PCLO) and evaluate its antimicrobial activity. The effect of the preparation technique, the type of surfactant and the ratio of surfactant to oil was evaluated to optimize the preparation formula of oil-in-water nanoemulsion. The optimized formula prepared by low energy production method containing 4% w/w PCLO and 12% w/w mixed surfactant (SDS + Tween 80) produced a clear and stable nanoemulsion for 90 days with an average particle diameter below 150 nm. The antibacterial activity of pure PCLO and its nanoemulsions (NCLO) was investigated by disk diffusion, agar well, and broth methods in 3 indicator bacteria of gastrointestinal infections, Escherichia coli, Staphylococcus aureus, and Salmonella typhimurium. Minimum inhibitory concentration (MIC) and bacteriocidal concentration (MBC) as well as dynamic killing time were determined in the tested bacteria. Strong antibacterial activity of PCLO and NCLO was revealed in the concentration range of 1000-2000 ppm. The killing kinetics study showed that during the first 15 minutes of exposure to NCLO at the MIC concentration, there was a rapid and extensive reduction in the amount of viable microorganisms. The presented data, considering the optimal performance of antimicrobial substances in food, cosmetics and chemical industries, can help in the rational design of nanoemulsion-based essential oil delivery systems.

Although Zataria multiflora essential oil (ZEO) has good antimicrobial properties like other EOs, it cannot be used in food systems and commercial products due to its high volatility and low water solubility, and its bioactive compounds can be easily degraded under the influence of environmental factors. In this case, their nanoemulsification may be an efficient and practical approach to overcome this problem. In addition, such delivery systems can improve the stability, bioactivity and quality properties of antimicrobial EOs in food systems. The optimized formulation, prepared using a low energy production method, containing 4% w/w ZEO and 12% w/w mixed surfactant (SDS+Tween 80), produced a transparent and stable nanoemulsion for 90 days with a mean particle diameter of 120.1 nm. The antibacterial activity of pure ZEO (PZEO) and its nanoemulsions (ZEON) against the tested strain was evaluated using solid diffusion, vapour phase and broth assays. Minimum inhibitory concentration (MIC) and bacteriostatic concentration (MBC), dynamic time-kill, anti-biofilm activity and morphological changes in Salmonella were determined. The strong antibacterial activity of PZEO and ZEON was demonstrated with MIC values of 2000 ppm and 4000 ppm, respectively. The killing kinetics study showed that there was a rapid and widespread decrease in CFU during the first 15 min of exposure to ZEON at MIC concentration. In addition, ZEON had significant anti-biofilm activity , reducing  82% of the one-day-old biofilm of S. typhimurium at the MIC concentration. The SEM micrographs taken at MIC showed significant morphological damage in the ZEON treated bacterial cells and no viability. The data presented, taking into account the optimal performance of antimicrobials against foodborne pathogens, can help in the rational design of delivery systems based on nanoemulsion of essential oils in the food industry.

One of the most important problems caused by industrial and service development in Ray city is the production of a high volume of wastewater that its non-systematic discharge to the environment can lead to contamination of surface water and groundwater resources or by using it in agricultural uses Soil contamination. Therefore, in this research, the industrial and service centers of the waste water producer in Ray city were identified to provide a solution to improve the status.

To this end, wastewater contamination centers in the Ray city were identified and the chemical and biological properties of wastewater of these centers including pH, COD, BOD and Total Coliform were evaluated based on the average two-year period (1395-1394) and the spatial distribution map of concentration The wastewater pollutants associated with these centers in the Ray city were prepared using the GIS software and the IDW zoning method.

In this study, 17 main waste water   producers were identified, including seven livestock and a waste disposal center and a vegetable oil factory in Ray city.

The results show that the effective strategy   to improve the situation, equipping the pollutant units with the wastewater treatment system, and improving the wastewater treatment system in units that have a purification system, as well as reducing water consumption in the production process, which leads to a reduction in the amount of wastewater produced. And monitoring of responsible organizations in this field.

given the prevalence of available data for only these two parameters in many parts of the country, various scenarios involving these parameters were studied. The best scenario for predicting relative humidity was obtained using the XGBoost model. To assess the accuracy of the model, the Bajgah region in Fars Province was chosen as a case study, and the accuracy of different scenarios was compared using data from the past 30 years (1993 to 2023). In this regard, missing data were estimated using the KNN Imputer model. The correlation between mean relative humidity of one to ten days before and the target variable (predicted  relative humidity on day t) was calculated using Pearson correlation. Based on the results indicating the insignificance of data from the fourth day and earlier, data from one to three days before were utilized.

Finally, by comparing the results based on six statistical criteria (RMSE, MAE, MARE, MXARE, NSE, and R2), it was determined the scenario based on relative humidity and the maximum and minimum temperatures of the preceding 3 days provides the best estimation.

The importance of organizational resilience in relief organizations and especially firefighting organizations as the first responders in the face of fire and accidents, the quality of services and organizational resilience in evaluating citizens' safety services is an important and effective issue in these organizations. The purpose of this research is to increase the resilience and reduce the flammability of the Tehran organization by identifying the indicators that affect resilience.
Material and

The nature of this research is of a scientific research type and the method of this study is applied based on library studies as well as field methods such as preparing a researcher questionnaire. In this regard, a mathematical decision-making model and statistical calculations have been used. Questionnaire questions were extracted from this research using theoretical bases, experts' opinions and using NFPA standards in different steps and distributed and completed among 150 employees of Tehran fire department in the second 6 months of 1400, and then by analyzing the data using Criteria were identified and prioritized using ANP method and EXCEL, SPSS22 and Super Decisions software.

According to the research findings, the highest priority among 3 criteria, 7 sub-criteria and 30 indicators, including: intra-organizational resilience (D) with a weight of 0.6601, downward resilience (D1) with a weight of 0.8019 and team skill (e12) with a weight of 0.6418 and the lowest priority is, respectively, extra-organizational resilience (B) with a weight of 0.0889, personnel skill (E1) with a weight of 0.0911, and the index of low-risk places (b14) with a weight of 0.0457.

The research results show that to increase organizational resilience and reduce vulnerability, intra-organizational resilience (criterion) and downward resilience (sub-criterion) and finally team skill (indicator) should be prioritized in the organization's policies and goals.

The purpose of this research is to measure carbon monoxide in Tehran's Beyhaghi Terminal and modeling the release of this pollutant under various scenarios.

In the first step; 2 scenarios were imagined for this research. One of them is to examine the emission model of carbon monoxide pollutant under current conditions; and the other was to examine the emission model under management conditions and to apply emission reduction strategies. NIOSH method number 6604 was used for sampling. Measurements were made in 2021-2022 and in 3 points sampling was done once a month during the year, three days a month and 3 times a day, and the sampling was done at different times of the day, i.e. morning, noon and evening, according to the increase and decrease of vehicle traffic. And for the purpose of modeling, Austal view, version 7 software was used.

In both scenarios, the distribution of carbon monoxide pollutant (8 hours) shows that the highest concentration of the pollutant is at the origin and terminal location. The pollutant spreads in all directions and the farthest zone of pollutant penetration will be on the eastern side of the terminal at a distance of 1000 meters. Since the amount of pollutant for Beyhaghi terminal is less than domestic and foreign standards, it can be said that the status of this pollutant will not exceed the standard. Of course, the air quality under the second scenario is better than the first scenario, so that after 8 hours, the pollutant concentration does not exceed 4 ppm in any range. Of course, this range will also penetrate less than 300 meters in all directions, with the exception of the eastern direction, which extends to about 600 meters.

Considering that in the first scenario, the amount of carbon monoxide pollution is within the approved standards, but due to the presence of other pollutants and the possibility of synergy between them, it is necessary to pay attention to improving the quality of the environment by using management strategies. For this reason, the second scenario indicates a further reduction of this pollutant. Reducing the stopping time of cars, not turning on the lights and using exhaust absorbent filters help to reduce the emission of carbon monoxide pollutant.

In this study, our aim is to investigate the complications caused by COVID-19 disease in the period of 1 month and 3 months after infection and recovery in patients aged 20 to 80 admitted to the special care department of Shariati Hospital in Tehran.

The information of the patients in this research was collected between 1 and 3 months after discharge non-randomly and from among the samples that are available (consecutive), through phone calls and a prospective questionnaire including questions about complications such as fatigue, body pain, joint pain, anorexia, disorders, sleep, headache, depression, dizziness, palpitations, chest pain, cough, diabetes, skin disease, obesity, imbalance, neuropathy, neurological and mental problems, and other cases are collected.

In this study, what was observed was those 4 complications of nausea and vomiting, diabetes, depression, and hypothyroidism were significantly related to hospitalization of COVID-19 patients in the hospital's special care department. The frequency of other complications was also investigated in this study.

According to the conducted study as well as previous studies, what is clear is that the frequency of complications caused by COVID-19 in patients admitted to the intensive care unit after discharge is high, and more studies should be done in order to reduce these complications.

Niosomes are biodegradable and biocompatible carriers that have a hydrophilic head and a lipophilic tail and can encapsulate both hydrophobic and hydrophilic drugs. By nanotechnology and curcumin-loaded nano-niosomes, it is possible to exploit the diverse anticancer properties of curcumin via targeted delivery to the desired tissue.

The present study aims to evaluate the effects of curcumin-loaded niosome nanoparticles (CM-NP) and free curcumin (CM) on apoptosis, intracellular reactive oxygen species (ROS), and STAT3/NF-kB signaling pathway in A549 lung cancer cell line.

The A549 cells were first exposed to CM-NP and CM. Then, the apoptosis, intracellular ROS, and STAT3/NF-κB signaling pathways were evaluated using commercial kits.

Exposure to CM-NP significantly increased the early and late apoptotic A549 cells compared to CM (P<0.001). Based on the half-maximal inhibitory concentration values, the CM-NP caused a significant increase in ROS production compared to CM (P<0.001). In addition, exposure to CM and CM-NP led to a significant decrease in the expression levels of STAT3 and NF-κB compared to non-exposed cells (P<0.001). The expression levels of NF-κB and STAT3 in A549 cells exposed to CM-NP were significantly lower than those in the CM group (P<0.05).

The curcumin nano-niosomes induces apoptosis in A549 lung cancer cells more than the free form of curcumin, in an oxidative stress-dependent manner and by increasing intracellular ROS and by STAT3/NF-κB signaling pathways. These results demonstrate the potential of the curcumin nano-niosomes as a promising method for lung cancer treatment.

Heavy rain falls in dray seasons with extreme water flow is one of the important factors in very intense damage to urban areas and agricultural lands of the arid and semi-arid plateaus and highlands. In semi-arid areas such as the southern flank of Alborz Mountain, neglecting the effect of geomorphologic features, (e.g. river truck channel depth, slope, sinuosity, river flood plain width and slope), illegal construction on the river legal boundary, as well as the effect of present-day climate change (change in annual rainfall precipitation and patterns, especially in El Niño conditions), cause environmental hazards such as extreme floods in urban areas. Imamzadeh Davood village is a religious-tourist place in the southern flank of central Alborz. In this research, we investigated the 28th July 2022 Imamzadeh Davood extreme flood controlling factors and their effect on low-stream village (Imamzadeh Davood). We aimed to provide scientific and practical solutions to decrease and prevent the destructive effect of future potential floods.The unusual extreme flood occurred after heavy and sudden rainfall in July (usually the area does not receive any precipitation in this month), causing a large volume of high-density mud flow with highly destructive power in the upper catchment. The large volume of the flood overflowed from the main truck channel and destroyed the buildings on the illegally occupied floodplain of the river.  The overflowed water transported a large amount of mud to the north and south courtyards and the lower floors (place of Tomb) of Imamzadeh. As a result, the flood killed more than 10 people, more than 20 people were injured, and several people were lost. The tomb, building, and pilgrims around the river were also damaged.The investigation of satellite images before and after the flood, and consideration of the geological and structural characteristics of the area based on fieldwork indicate that the funnel shape of the catchment, the narrow river truck channel, the low vegetation cover of the catchment, the exposure of low-consolidated tuff and pyroclastic sediments with high erodible in the large part of the catchment, intense illegal construction on the legal boundary of river, as well as unusual extreme summer rainfall under the effect of Indian monsoon-related tropical cyclone are the main controlling factors ofImamzadeh Davood 2022 flood with large mud-flow discharge.

The purpose of the present research is to investigate the impact of the auditor's expertise in the industry on the relationship between the behavioral and ethical tendencies of management and the divergence of investors' opinions.

A multivariate linear regression model was used to test the research hypotheses. To calculate the divergence of investors' behavior, according to the research of Silva and Cerquera (2021) and Salehi et al. Managers' behavioral biases have been measured by the two factors of real profit management and managers' overconfidence, as well as ethical biases by the two factors of dishonesty (profit smoothing) and management error (fraud in financial statements).

 The results of the research hypotheses test showed that fraud in financial statements, real profit management, profit smoothing and management overconfidence have a direct and significant relationship with the divergence of investors' opinions.

The current research provided evidence that shows that the behavioral and ethical tendencies of managers have a direct and significant impact on the divergence of investors' opinions and increases this factor, and the auditor's expertise can reduce these effects.

Sentiment Analysis (SA) is the computational analysis of ideas, feelings, and opinions using Natural Language Processing (NLP) techniques, computational methods, and text analysis to extract polarity (positive, negative, or neutral) from unstructured documents or textual comments. Multi-domain SA is based on a labeled dataset, which reduces the dependence on large amounts of domain-specific data and addresses data scarcity issues by leveraging existing data from other domains. This paper presents a novel deep learning-based approach for Persian multi-domain SA analysis. The proposed Bidirectional Independent Recurrent Neural Network (Bi-IndRNN) Capsule technique combines bidirectional IndRNN and CapsuleNet, which use Bi-GRU to extract features for CapsuleNet. In IndRNN, recurrent layer neurons operate independently, with simple RNN computing the hidden state h via element-wise vector multiplication u* state, indicating that each neuron has a solitary recurrent weight linking it to the most recent hidden state. We evaluated the proposed approach on the Digikala dataset and found it to provide acceptable accuracy compared to existing techniques.

Crowding is a natural process in which many people gather in a place for a predefined purpose or as part of a daily routine. Festivals, carnivals, theaters, parades, markets, stadiums, and religious occasions are examples of crowd situations. Religious congregations or pilgrimages that experience large crowds are vulnerable to events such as crowding. This article tries to highlight the factors influencing the safe city planning for crowding in the social rituals of the month of Muharram in the central context of Zanjan city, emphasizing the safe city guide for the event based on 2021 Economist. The current research is applied in terms of purpose and descriptive-analytical in terms of method. Also, in terms of time, the method is cross-sectional and in terms of the nature of the data, it is quantitative. Depending on the purpose of the research, the Delphi method was used with the number of 20 people related to the subject available by judgmental or deliberate sampling. In this study, the multipole method was used to analyze the data.Evaluation of the monitoring of deaths caused by road accidents; The quality of urban signs to strengthen people's minds are policies that are linked to strengthening environmental security for environmental security planning. Also, removing or correcting blind spots and determining institutional capacity and access to resources are two policies that are linked to scenarios related to strengthening infrastructure security and strengthening personal security.

In the present research, extracellular green synthesis of copper oxide nanoparticles was studied through a simple rapid and environmentally friendly approach using a new bacterial strain isolated from Hoz Sultan Qom lake (Bacillus cytotoxicus H2-7). In addition to the different synthesis methods, the factors influencing the production such as salt type, concentration, temperature, pH and shaker cycle on the production of copper oxide nanoparticles were investigated based on the amount of UV-vis absorption. CuSO4.H2O  salt at a concentration of  5 mM as the best precursor salt, a stirring speed of   150 rpm at a physiological pH of 7 and an optimal temperature of   30   degrees Celsius resulted in the synthesis of copper oxide nanoparticles with maximum efficiency. After optimizing the growth conditions, the produced nanoparticles were characterized using different UV-Vis, FTIR, XRD, DLS and zeta potential techniques. The produced nanoparticles had absorption in the range of 250-300  nm. The average particle size was  50-80 nm with spherical morphology. Also, the antibacterial activity of copper oxide nanoparticles against E.coli ATCC11725 and S.aureus ATCC25923  bacteria was investigated by agar well and microdilution methods. The present study can be developed to develop a controlled and scalable process for bacteriosynthesis of nanoparticles that can be used for diverse applications in various industries.

Preparing hospitals for disasters and accidents is one of the fundamental elements of governmental planning to manage, control, or minimize consequences. This study aims to examine the level of preparedness and awareness of public hospital managers in the western region of Gilan Province in the face of natural disasters.

This applied cross-sectional study was conducted in 2022. The research population consisted of all public hospitals affiliated with Gilan University of Medical Sciences (a total of 8 hospitals and 56 managers). Data were collected using the standard checklist of the hospital preparedness in the face of natural disasters, and a questionnaire to assess managers’ awareness. Data were analyzed with the SPSS version 22 and Spearman's statistical tests were used to analyze the association between managers' awareness and hospital preparedness.

The score mean of managers’ awareness and preparedness of hospitals to deal with disasters were 44.23 (6.69) and 61.73 (12.96), respectively. Among the various managerial groups, nursing managers demonstrated the highest level of awareness (51.62), whereas medical records managers showed the lowest level (37.50). The area focusing on managing unforeseen events had the highest mean score of preparedness 73.11 (18.03), and the area of planning to reduce construction risks had the lowest mean score of preparedness (44.64). Spearman's correlation test revealed a direct and statistically significant relationship between managers' awareness and hospital preparedness in West Gilan (r = 0.586) (p < 0.001).

The level of preparedness and awareness of government managers in the West Gilan hospitals, concerning natural disasters, was at an average level. Enhancing hospital preparedness in the face of natural disasters could be achieved through the standardization of hospital infrastructure, training of all unit officials, and the promotion of equipment safety.

The recent acquaintance of Western societies, especially America, with Rumi and his poems, must have been due to Coleman Barks' translations; A translator who get acquainted with Rumi in 1976 by his friend Robert Bly for the first time.Coleman Barks translated Rumi's poems, while he had no acquaintance with Persian language and literature. He re-translated those poems using previous translations by Arbery and Nicholson.In response to the main question of this research, which seeks the reasons for the success of Coleman Bark's translations, we having studied on a number of Bark's translations which are selected among Barks' various books and comparing those with the original text. Eventually with the help of Andre Lefevre's theory we analyzed those translations, and finally, the reasons are as follow:1. The need of modern American society and readers for the human, universal, and boundless concepts that have manifested themselves in Rumi's poetry as mysticism.2. Barks' clever choice of Rumi, among other Eastern poets, because in Rumi's poetry, themes and ideas is deep and astonishing, and has the potential to be reduced to today's paradigms.3. The style he uses in translating these poems, which is the free style of American poetry, is based on the translation pattern of Andre Lefrvere.

Aging plays an important role in cardiovascular diseases. Diminazine is an animal anti-infective drug that has protective effects on cardiovascular diseases. This study aimed to investigate the possible cardio-protective effects of Diminazine in aged rats induced by D-galactose through improving lactate dehydrogenase (LDH), and cardiac creatine kinase (CK-MB), and lipid profile.

20 male Wistar rats were divided equally into control, Diminazine (DIZE), D-galactose (D-GAL), and D-GAL+DIZE groups. Cardiac hypertrophy was measured. Serum levels of lipid profile and cardiac damage markers were also measured.

Aging caused dyslipidemia with cardiac hypertrophy and significant increases in serum LDH, and CK-MB. Diminazine treatment of aged rats induced significant improvements in cardiac hypertrophy and cardiac markers. This could be explained by the ability of Diminazine to improve triglyceride (TG), very low density lipoprotein (VLDL), and high density lipoprotein (HDL) levels.

Diminazine exerts a cardio-protective effect in aging, mainly by improving cardiac hypertrophy and dyslipidemia.

Atmospheric condition is one of the most important natural hazards for floating units. One of the shortcomings related to the weather situation is the lack of attention of the watch officers to the correct collection of weather data through the devices in the command bridge. For example, air pressure is read without instrument and altitude corrections and is never compared to a long-term average. Therefore, the aim of this research is to build a system on floating units that can automatically measure the atmospheric parameters and by calculating the required parameters from the measured parameters and comparing with the long-term average data, it can identify the atmospheric anomaly and as a result, make the right decisions regarding the appropriate maneuvers.

In this research, using existing sensors, a meteorological device has been built that can collect atmospheric data from the environment and store it in the computer, and by using a computer program, it can compare the measured data with the long-term average and detect atmospheric and oceanic anomalies. to identify By identifying the atmospheric anomaly, the phenomenon related to this anomaly is also identified, and the guard officer can have an appropriate maneuver related to the identified phenomenon. Finally, in this research, the way the device works has been evaluated using numerical tests. In this numerical experiment, a floating unit moves from the origin of Bandar Abbas in such a way that it collides with cyclone Gonu along the way and the measured pressure is compared with the average pressure of 40 years.

The first point along the track to experience a pressure drop of 3 hPa compared to the 40-year average is at approximately 135° ˚ and 120 miles from the storm's center. In fact, the distance of 120 miles from the center of the storm is a close distance, and in this case, the pressure has decreased by only 3 hectopascals compared to the 40-year average. The first point where the pressure has reached 5 hPa below the 40-year average is when the center of the storm is southeast and about 50 miles from the center of the storm. Therefore, it can be seen that the floating unit is very close to the storm and in this case it experienced only 5 hectopascal pressure drop.

The results show that a pressure drop of 5 millibars is a suitable criterion to definitively prove that the floating unit is in a tropical storm, and of course, due to the extreme proximity of the floating unit to the center of the storm in this case, a pressure drop of 1 hectopascal is suggested as a warning.

Beliefs and emotional tendencies of investors can influence the direction of trading volumes and stock market prices by creating changes in the capital market environment. This paper has investigated the mediating role of comparability of financial statements on the relationship between managers' opportunistic behavior and investors' divergence of opinions. This research was conducted post-event and using the causal correlation method. The companies listed to the Tehran Stock Exchange. formed the statistical population of the research, and by applying the desired conditions and systematically removing, it we used information of from 134 companies as a research sample in the period of 2014 to 2023. Divergence of investors' behavior has been calculated using the index of unexpected trading volume and managers' opportunistic behaviors have been measured by two factors of real earnings management and managers' overconfidence. The findings indicated that earnings management and management overconfidence have a direct and significant relationship with the divergence of investors' behavior. Also, the comparability of financial statements moderates the positive relationship between real earnings management and management's overconfidence on the divergence of investors' behavior regarding determining the correct figure of the intrinsic value of stocks while making investment decisions.

Expediency is a component that is widely used in different aspects of human life, so there is no doubt about its importance, but its place in different areas of life should be clearly explained. In this research, the information obtained from library sources is discussed with descriptive-analytical method to the place of expediency. Each of the fields of deriving Sharia rulings, enactment of laws and implementation have different characteristics from each other, which leads to an independent examination of the expediency position in each of them. Expediency in the field of inference is as a criterion for falsifying divine decrees in such a way that each division of Sharia rulings has some kind of connection with expediency as a criterion for falsifying rulings. In the field of legislation, laws that have a jurisprudential value in Sharia rulings, expediency in the same sense will be the criterion of falsification, but in laws without a jurisprudential value, as the subject of provincial rulings and the discretion of the Islamic ruler in enacting the laws, it is required in accordance with the requirements of time and place. The position of expediency in the field of implementation is also in two approaches: a) implementation of expediency as a "requirement belonging to a Shariah ruling or law" and b) expediency of implementation consists of changing the conditions in such a way that the implementation of the original rulings and laws is not possible and the rulings and laws conflict with each other.

The present applied research aimed to model energy management in office buildings of District 5Municipality of Tehran, Iran. The components affecting energy consumption were extracted via anintegrated approach (including in-depth survey and semi-structured interviews with experts) usingcoding method and prioritized by Analytic hierarchy process and Expert Choice. The proposedmodel was fitted by structural equation modeling and the strategies were developed by Hitt’sstrategic planning model. The results showed 10 components (in three dimensions) as effectivefactors in energy management. The highest and lowest weight percentages were respectivelyrelated to the components of "Using appropriate technology for manufacture and providing andusing low-consumption supplies and equipment" (26.8%), and "Implementing green tax policy"(1.7%). Goodness of fit index values for the three domains of the integrated model were 0.942 (forarchitecture and engineering), 0.941 (for behavioral patterns) and 0.901 (for rules and regulations),which were in the acceptable area due to being more than the standard value (0.9), as well as theroot mean square residual values were 0.079, 0.073 and 0.061, respectively, which were in theacceptable area due to being lower than the standard value (0.08). The strategies of "Strengtheningthe infrastructure and equipment in the field of energy consumption optimization" and "Usinggreen tax and incentive solutions in energy consumption" were placed in the first and last prioritieswith final weights of 4.16 and 3.156. These findings were a claim for the good and acceptable fitof the proposed 10-component and 9- strategy model.

The current era is known as the "age of information," and the capital market is built on information as the economy's primary engine. The system of financial statements of corporations, which is the most significant source of information used in the capital market, produces an information system called accounting. Fraud and manipulation in these financial statements raise corporate risk, erode investor confidence, and cast doubt on the objectivity of accounting experts. Owing to the significance of fraud, this study aims to offer a way to foretell the likelihood of fraud in the financial statements of businesses admitted to the Tehran Stock Exchange between 2014 and 2021. 180 enterprises listed on the stock exchange make up the statistical sample (532 years of companies - suspected fraud years and 908 years - of non-fraudulent companies). According to the independent auditor's assessment, the existence of dormant assets and items, the doubting of the assumption of continuity of activity, the presence of tax discrepancies with other tax areas, and the dearth of adequate performance tax reserves led to the selection of the companies suspected of fraud. 96 financial ratios have been compiled by examining the theoretical foundations and research. In this research, the supervised methods of support vector machine, K-nearest neighbor, Bayesian network, neural network, decision tree, logistic regression, random forest and the hybrid method (bagging) have been used. The results of the research showed that the performance evaluation criteria of precision, accuracy, sensitivity, and F-Measure and efficiency (ROC) and the accuracy result of the confusion matrix in the combined method (bagging) were 72.45, 61.21, 64.74, 62.93, 73.50, and 72.45 percent, respectively, which indicates the better performance and greater ability of this method to predict the possibility of fraud in financial statements compared to other proposed methods.

The great circle is of special importance as the shortest distance between two points in navigation. Navigating officers must always be able to calculate the path of the great circle and the turning points on that path. One of the drawbacks of calculations in the path of the great circle is the large volume of calculations and the uncertainty of the correct result. In this research, using the method of composite triangles, the path of the great circle is solved, and two general methods for calculating the rotation points of the great circle, which include a) calculating the rotation point with equal longitude difference and b) calculating the rotation point with distance difference equal is used. Next, using the method of equal longitude difference in calculating the points of rotation, a fast and reliable relationship has been developed to calculate the points of rotation. The premise of the developed method is that the point of rotation is always equal to the difference in longitude between the origin and destination. The developed method has the advantage that it will be able to calculate the turning points on the path of the Great Circle by calculating only 5 sentences from Norris's book in a much shorter time and with fewer calculations.

Observations from past earthquakes and studies conducted by various re-searchers show the effect of facade on the seismic performance of the structure. Structure, veneer wall and faced need to be stable and inde-pendent in their deformation. The most important goal in the upcoming study is to investigate the effect of materials on the in-plane behavior of external walls and building facades based on the existing common imple-mentation methods. Based on this, 3 samples of Cyclic lateral loads were tested in a controlled manner under displacement and the results of their behavior in terms of form, failure patterns, cyclic curves, cover, bilinear, ductility, reduction of equivalent hardness were investigated. The results of the analyzes showed that adding a facade to the structure, depending on the type and characteristics of the facade materials, has a significant effect on increasing the initial stiffness in range of 4 to 6 time and resistance in range of 2 time. Facade isolation reduces interframe damage and also re-duces facade damage and adverse interframe-frame interaction it seems that the seismic performance of the brick facade is better compared to the stone facade and has less effect on changing the seismic performance of the structure. Key words: facade isolation, seismic performance, brick fa-cade, stone facade

The current research was carried out with the aim of explaining the dimensions, components and items of equipment needed to improve the safety of diving units by using specialized equipment based on a mixed and applied approach with a descriptive method of exploratory-causal type. The statistical population for the interview process included experts in the field of diving at the Nadaja level, who were identified using a purposeful judgment method based on criteria, and 8 people participated in the interview process until the theoretical data saturation stage. Also, the statistical population for the distribution of the questionnaire included some commanders, diving experts in the number of 40 people who had at least 20 years of direct activity in the field of diving, and all of them were used for the distribution of the questionnaire. The data collection tool in the first stage includes the study of documents and semi-structured interviews with experts to provide a model, and in the second stage, a 20-question questionnaire for its validation, the reliability of which has been confirmed by Cronbach's alpha method. Qualitative data analysis after coding was done in three stages of data classification, processing, and judgment, and quantitative data was done using descriptive statistics. The results showed that the equipment needed to improve the safety of diving units has three dimensions: "special floating units for diving", "diving operation support equipment" and "diving operation implementation equipment" and the components and items counted are good equipment needed to improve the safety of diving units. Diving supports the Navy of the Islamic Republic of Iran.