m. moradi

In this study, the air drying of cumin seeds was boosted by cold plasma pre-treatment (CPt) followed by high-power ultrasound waves (USp). To examine the impact of included effects, different CP exposure times (0, 15, and 30 s), sonication powers (0, 60, 120, and 180 W), and drying air temperatures (30, 35, and 40 ºC) were selected as input variables. A series of well-designed experiments were conducted to evaluate drying time, effective moisture diffusivity, and energy consumption, as well as color change and rupture force of dried seeds for each drying program. Numerical investigations can effectively bypass the challenges associated with experimental analysis. Therefore, the wavelet-based neural network (WNN), the multilayer perceptron neural network (MLPNN), and the radial-basis function neural network (RBFNN), as three well-known artificial neural networks models, were used to map the inputs and output data and the results were compared with the Multiple Quadratic Regression (MQR) analysis. According to the results, the WNN model with an average correlation coefficient of R2 > 0.92 for the train data set, and R2 > 0.83 for the test data set provided the most beneficial tool for evaluating the drying process of cumin seeds.

Formation damage is typically regarded as a detrimental phenomenon that necessitates effective treatment to optimize production efficiency and extend wellbore lifetime. This study introduces new standards to guide laboratory-based investigations into the efficiency of chemical solvents for mitigating formation damage in sandstone reservoirs, emphasizing pore-scale property changes and permeability recovery. Three sandstone core samples from an anonymous reservoir, characterized by varying geological and petrophysical properties, were subjected to initial damage through the injection of oil-based drilling fluids. Each sample was subsequently treated with a distinct chemical solvent to evaluate their respective efficiencies in restoring porosity and permeability. Advanced tomographic imaging and pore-scale analyses were employed to quantify changes before and after treatment, focusing on representative elementary volumes (REVs) along the samples. The findings highlight the critical influence of initial sedimentary heterogeneities on solvent efficiency. Variations in CT number, porosity, permeability, and tortuosity demonstrated spatial heterogeneity in solvent effectiveness along the injection pathway. Notably, tortuosity decreased across most REVs, particularly near the outlet, post-treatment, indicating improved fluid flow pathways. However, uniform and consistent improvements in porosity, pore size distribution, and permeability were not observed, underscoring the role of intrinsic geological variability. This study concludes that solvent efficiency is strongly influenced by the severity of initial sedimentary heterogeneities induced by formation damage, rather than being solely dependent on solvent type. To achieve reliable comparisons, future solvent performance evaluations must account for comparable levels of geological heterogeneity pre- and post-treatment. These findings provide actionable insights for optimizing solvent selection and developing more effective strategies for reservoir stimulation and formation damage remediation.

Myrtus communis is one the most important Mediterranean species in Zagros forest. Although, M. communis widely spreads in Zagros forest, little information is available about its distribution in south western parts of Iran. Due to the lack of information on its distribution in southern Zagros, in the present study soil physical and chemical properties of M. communis stands in Fars, Khuzestan, and Kohgiluyeh and Boyer Ahmad provinces were determined to generate basic information about soil properties in its stands in south western provinces of Iran. In each site, five 25 × 25 meter plots were selected and soil samples were taken from the 0‒20 cm layer. Soil analysis included total nitrogen, available phosphorous, available potassium, organic carbon, pH, texture and bulk density. Our results indicated that the highest values for soil nitrogen and organic carbon contents belonged to the M. communis stand in Nourabad Mamasani and were significantly higher compared to the other sites. While the lowest values of soil nitrogen and organic carbon recorded for Andika, were significantly lower compared to the other sites. M. communis stands in Nourabad Mamasani had the highest soil fertility, compared to the other sites. Besides, M. communis spreads in neutral or slightly alkaline soils. Soil textures in the studied sites were loam, sandy loam and silt loam classes. Independent sample t-test showed that M. communis stands had higher soil nitrogen, organic carbon, phosphorus, and potassium compared to the vicinity stands. Overall, M. communis prefers coarse and loamy soils with neutral pH or slightly alkaline and high nutrients.

The huge amount of information has forced researchers to find a solution to face this fundamental problem called data overload. Recommender systems try to suggest the required information to the user by examining the user's preferences directly or based on the behavior of other similar users in a way that best matches the user's needs. Meanwhile, the use of textual information hidden in the user's biography or comments can be very useful. Declarative systems try to find similarities by examining each word in users' comments with the comments of other users, this is if different meanings for a word are ignored. In this way, the use of auto-encoder networks in order to check the semantic relationship of words in a sentence with respect to the opinions of other users can overcome this challenge. In this article, a personalization approach is presented based on the recommendation system in social networks using the combination of collaborative filter and deep auto-encoder networks. In proposed recommendation system, the information in the user profile and user comments to each website is used as the input of the presented combined deep auto-encoder network and the collaborative filter method in order to find similar users accurately and predict the website's rating by users. Finally, after finding similar users, it provides recommendations to visit and personalize the web page of serious users based on the favorite websites of similar users. Due to the convolutional layers of proposed deep auto-encoder network, the training process in the middle layer has performed on semantic relationship of words in a sentence to find similar comments and users. This method implemented on two standard datasets titled TripAdvisor and Yelp. The proposed method has improved in terms of statistical accuracy of about 39%, the ratio of successful recommendations to useful recommendations of about 6%, and the accuracy of recognizing similar users is about 18% from other classification methods.

Global warming and its following environmental problems have led to increased attention to the use of renewable energy sources in most countries worldwide, and wind energy has emerged as a significant contributor. The use of wind energy through offshore wind turbines is one of the clean energy harvesting methods that initially began in Europe. Due to their larger size and higher wind speeds, offshore wind turbines have gained popularity worldwide, including seismic areas such as the United States and Southeast Asia, especially China. These turbines are located in marine environments and are subject to cyclic loads caused by wind, waves, and ocean currents. Monopiles, cylindrical hollow piles with diameters ranging from 2 to 8 meters and lengths of approximately 60 meters, are widely used to install offshore wind turbines. The design regulations for these turbines often overlook influential factors such as soil-structure interaction and refer to seismic design guidelines for onshore turbines. In this research, the seismic performance of monopiles has been investigated by conducting six experiments using a shaking table in a 1g condition. The effects of driven length and monopile diameter were analyzed, along with the impact of the installation medium being either saturated or dry. Various parameters, including ground motion acceleration, displacement, and induced excess pore water pressure, were scrutinized in this study. The results indicate that the saturated environment weakens their seismic performance. Therefore, the seismic design considerations for monopiles, based on the existing guidelines for dry structures, are inadequate. Furthermore, increasing the monopile diameter by 57% causes a 24% increase in the acceleration of the superstructure, a 40% increase in the cumulative displacement, and a 30% decrease in the average maximum displacement of the cycles during loading. It was also observed that by increasing or decreasing the driven length by about 15% compared to the driven length of the base monopile, the acceleration value of the superstructure increases by more than 20%, and the cumulative displacement value decreases by about 60%. The average maximum displacement of the cycles decreases by 30%, with an increase of 33% in the driven length.

Today, food waste has become a global concern for sustainable agri-food systems. Leafy vegetables are among the products with the highest waste rates throughout the supply chain. In Kermanshah province, a significant portion of leafy vegetable production becomes waste annually due to various factors, including production problems, inadequate technology use, and irresponsible consumer behavior. Despite the high levels of waste in leafy vegetables, there is a lack of precise information about the location, magnitude, and causes of this waste. A review of the literature shows that previous studies have often focused on measuring waste and identifying its causes at certain stages of the supply chain or in specific geographical areas, mainly in developed countries. Therefore, the results of these studies do not reflect the unique challenges faced by agricultural supply chains in developing regions. In Iran, also, research focused on leafy vegetable waste is limited, and no study has yet examined the quantity and causes of waste in the supply chain of these products. Therefore, this study aimed to investigate waste in the leafy vegetable supply chain and identify its causes in Kermanshah province.

The main tool for data collection was a questionnaire. The research's statistical population consisted of two groups: the first group included national and regional experts and several actors in the leafy vegetable supply chain, with 60 purposively selected participants. The second group consisted of actors in the leafy vegetable supply chain, including farmers, retailers, wholesalers, processing units, and consumers (households and food services) in Kermanshah province. The sample selection for farmers and households was done proportionally using stratified sampling, and the sample size was determined using the Cochran formula. For other groups, a full census was conducted. In total, 728 samples were selected and studied (172 farmers, 83 wholesale and retail units, 16 processing units, 384 households, and 73 food service units). The amount of waste was measured using questionnaires based on the actors' perceptions of the percentage of waste at each stage of the supply chain. The process of identifying the main causes of waste was as follows: (1) identifying causes of waste at different stages of the supply chain through literature review and semi-structured interviews with experts; (2) determining the relative importance of causes using the Analytic Network Process (ANP); (3) assessing the current status of each cause from the perspective of actors using a Likert scale; and (4) calculating the final weight of causes by calculating the weighted average. Excel and Super Decisions software were used for data analysis.

The results of the waste assessment at different stages of the supply chain showed that 24%, 11%, and 6.5% of the leafy vegetables turned into waste during production, marketing and distribution, and processing stages, respectively. Waste in the household sector was 21%, and in the food service sector, it was 18%. The main causes of waste at the production stage were identified as lack of access to extension services, pests and disease control, and lack of access to quality seeds and other inputs. The evidence indicates significant barriers to farmers' access to inputs and supportive services. Therefore, targeted interventions to improve farmers' access to training programs, integrated pest and disease management education, and access to quality seeds and inputs play a significant role in reducing waste at the farm level. In the market sector, the lack of proper packaging facilities, poor quality of products offered, and lack of coordination and information sharing among stakeholders had the greatest impact on leafy vegetable waste. These findings emphasize the importance of investing in transport infrastructure and technologies (creating a cold chain) and packaging, implementing farm-level waste reduction interventions, and creating and developing information flow among stakeholders to reduce market waste. In the processing sector, the main causes of waste were identified as poor quality products delivered to processing units, lack of modern processing technologies, and inefficient packaging of final products. These findings indicate the adverse impact of actors' actions in previous supply chain stages and the weakness of technical infrastructure in the processing sector on the quantity of waste. In the food service and household sectors, the poor quality of products offered to consumers was identified as the main cause of waste at these stages. Other important causes in the food service sector were inappropriate food consumption patterns and inefficient food management. In households, a large portion of the waste was attributed to factors such as inadequate planning before shopping and purchasing more than needed. Therefore, providing appropriate training to modify consumer buying behavior plays a significant role in reducing waste in the consumption sector.

The results showed that a significant portion of leafy vegetables in the supply chain becomes waste. Among the different supply chain stages, the production and household consumption stages were identified as the most critical points for intervention and waste reduction strategies. Furthermore, the examination of waste causes at different stages of the supply chain showed that poor product quality, often attributed to undesirable actions and behaviors of actors in previous stages, was the most critical cause of leafy vegetable waste. Therefore, prioritizing waste reduction interventions at the initial stages of the supply chain can significantly reduce waste throughout the entire supply chain.

Forest ecosystems, especialy in protected areas, have high environmental importance. On the other hand, the vegetation of Dena protected area is facing many socioeconomic problems from the local communities, which is always caused decreasing in quantity and quality. Therefore, this research aims to investigate the relationship between vegetation changes over time and the economic and social factors of the villages in Dena protected area.

To carry out this research, 384 questionnaires were completed by the villagers in nine villages. To obtain the sample size, Cochran's formula was used, and the opinions of professors and experts were used to check the validity of the questionnaire. Cronbach's alpha method was also used to determine the reliability of the questionnaire. In order to analyze the data, the villages were clustered economicaly and socialy based on the K-means algorithm. Afterward, the changes in forest surface were estimated using Landsat satellite images, and then the relationship between vegetation cover changes in the villages of different clusters was investigated using Spearman's test.

According to the results of satellite images, the average change in the area of forests, which was 618.38 hectares in 2001, has decreased to 578.32 hectares in 2021, and on the other hand, the average area of agricultural land, which  was 247.10 hectares in 2001, increased to 277.96 hectares in 2021. According to the results of Spearman's test, the changes in forest cover have a significant relationship with the economic issues of the studied villages (P<0.05), on the other hand, the social issues of the villages do not have a significant effect on the changes in vegetation cover.

According to the results of the Spearman test, there is a strong and significant relationship between the economic problems of the villagers and changes in vegetation. Economic factors in the clustered villages, such as income from agriculture and horticulture, income from livestock farming and forest products, land-use conversion of forests and rangelands, and various sectoral expenses, have led to extensive degradation of forests and rangelands in the vicinity of these villages.

Ethics is one of the topics that has been emphasized in Aristotelian wisdom. That is, wisdom has a vacuum without considering morality. Therefore, morality and wisdom are two intertwined issues, and in this research, the relationship between individual wisdom and organizational citizenship behavior of nurses of Hamedan University of Medical Sciences teaching hospitals has been tried to be done by emphasizing moral behavior, moral judgment, and moral emotion.

The current research is a quantitative research based on the applied purpose and correlation type and in terms of the data collection method. The statistical population of all nurses of Hamedan University of Medical Sciences teaching hospitals is 1527 people. The statistical sample was selected using Morgan and Karjesi's table with the relative stratified method in the number of 306 people.

The results of structural equation analysis with PLS software showed that individual wisdom had an effect on moral behavior, moral emotion, moral judgment, and organizational citizenship behavior. Also, moral emotion influenced moral judgment, organizational citizenship behavior, and ethical behavior. On the other hand, moral judgment was insignificant on moral behavior and significant on organizational citizenship behavior. Also, organizational citizenship behavior was influenced by ethical behavior.

In general, the results showed that organizational citizenship behavior is influenced by individual wisdom, as well as moral behavior, moral judgment, and moral emotion. That is, with the existence of moral components along with wisdom, we can expect citizenship behavior from employees in the organization.

‎ Traction system and adhesion between wheel and rail are fundamental aspects in rail transportation. Depending on the vehicle's running conditions, different levels of adhesion are needed. Low adhesion between wheel and rail can be caused by leaves on the line or other contaminants, such as rust or grease. Low adhesion can occur at any time of year especially in autumn, resulting in disruptions to passenger journeys. Increased wheel-rail adhesion for transit rail services results in better operating performance and system cost savings. Deceleration caused by low adhesion, will extend the braking distance, which is a safety issue. Because of many uncertain or even unknown factors, adhesion modelling is a time taking task. Furthermore, as direct measurement of adhesion force poses inherent challenges, state observers emerge as the most viable choice for employing indirect estimation techniques. Certain level of adhesion between wheel and rail leads to reliable, efficient, and economical operation.‎ This study introduces an advantageous approach that leverages the behavior of traction motors to provide support in achieving control over wheel slip and adhesion in railway applications. The proposed method aims to enhance the utilization of existing adhesion, minimize wheel deterioration, and mitigate high creep levels. In this regard, estimation of wheel-rail adhesion force is done indirectly by concentrating on induction motor parameters as railway traction system and dynamic relationships.  Meanwhile, in this study, we focus on developing and applying the sixth-order Extended Kalman Filter (EKF) to create a highly efficient sensorless re-adhesion control system for railway vehicles. ‎EKF based design is compared with Unscented Kalman Filter (UKF) based and actual conditions and implemented in Matlab to check the accuracy and performance ability for state and parameter estimation. Experimental results showed fast convergence, high precision and low error value for EKF.‎ The proposed technique has the capability to identify and assess the current state of local adhesion, while also providing real-time predictions of wear. Besides, in combination with control methods, this approach can be very useful in achieving high wheel-rail adhesion performance under variable complex road conditions

 Light is the main environmental factor for plant growth and development. Different attributes of light such as intensity, quality and duration affect plant growth and productivity. Light spectrum of growing environment is a determinant factor for plant growth and photosynthesis. The photosynthetic reactions are directly affected by various light parameters including its spectrum and intensity. Photosystem I and II (PSI and PSII) in the electron transport chain of photosynthetic apparatus are involved in converting solar energy to chemical compounds in plants. It has been found that the PSII is sensitive to light quality. Using The OJIP test, we can investigate the efficiency of various biological phases of the electron transport system. Light sources such as metal-halide, fluorescent, high-pressure sodium, neon lamps and light-emitting diode (LED) can be used for production of plants in closed environments instead of sunlight. Manipulation of the light spectrum of the lamps could trigger potential benefits by enhancing plant growth. Nowadays, by using the LED technology, it is possible to study the physiological effect of different light spectra for optimization of growth conditions and for increase the production of plants in controlled environments. This research was conducted to investigate photosynthetic apparatus, growth parameters, stomatal characteristics, transpiration rate and essential oil content of Salvia officinalis under different light spectra.
 
 In this study, the effects of different light spectra were implemented and performed as a pot experiment using soilless media in the plant growth chamber based on a completely randomized design with 6 lighting spectra including White, Blue, Red and three combinations of R and B lights (R30:B70, R50:B50 and R70:B30) with three replications. The light intensity in all growth chambers was adjusted to photosynthetic photon flux density (PPFD) of 250 ±10 μmol m-2s-1 and light spectrum were monitored using a sekonic light meter (Sekonic C-7000, Japan). Growth condition was set at 14/10 h day/night cycles, 25/22oC day/night temperatures and 40% relative humidity. Three month following plant growth under different light spectra, the plants were evaluated for their growth parameters, stomatal characteristics (stomatal length, stomatal width, pore length or aperture) transpiration rate (E), relative water content (RWC), photosynthetic apparatus (evaluation of OJIP) and essential oil content. Data analysis of variance (ANOVA) was performed using IBM SAS software (Version 9.1) and the differences between means were assessed using Duncan’s multiple range tests at p≤ 0.05.
 
 The results showed that the stomata characteristics, photosynthetic performance, growth characteristics and essential oil content of Salvia officinalis were affected by different light spectra. Increasing the ratio of red light especially combined Red and Blue lights (R70:B30) led to the improvement of growth characteristics. Transient induction of chlorophyll fluorescence showed that the highest fluorescence intensities at all OJIP steps were detected in Red light. The lowest Fv/F0 and Fv/Fm were obtained in plants grown under Red light. Occurrence of leaf epinasty and decrease in Fv/Fm indicative of phenomenon of red light syndrome in the plants under Red treatment. Red light caused a reduction in performance index per absorbed light efficiency of (PIABS) and increase in quantum energy dissipation (ΦD0), light absorption (ABS/RC) and electron trapping (TR0/RC) per reaction center. The highest Fv/F0, Fv/Fm and PIABS were obtained under combination of Red and Rlue light. The highest ΦE0 was also detected in combination of Red and Blue light. The narrow and large stomatal apertures were detected under Red and Blue light, respectively. The highest transpiration rate was achieved in plants grown under Blue light LED. Increasing the ratio of Red light resulted in reduction in transpiration rate and improvement of leaf capacity to control water loss via reducing the opening of stomata. The highest amount of essential oil (1/75% v/w) was achieved in plants exposed to combination of Red:Blue light spectra (R70:B30).
 light spectrum during plant growth can change plant metabolism, LED can be used in favor of producing good-quality food in controlled environment agriculture due to their ease of application, waveband manipulation and limited heat production. Our result showed that photosynthetic apparatus, growth parameters, stomatal characteristics, transpiration rate, relative water content and essential oil content of plants were considerably influenced by light spectra. Using OJIP test confirmed that plants grown under monochromatic Red and Blue lights were less efficient to successfully transfer the excitons and most of the absorbed energy by the photosystems was dissipated as heat. In conclusion, combined Red and Blue lights (especially R70:B30) caused favorable growth, photosynthetic functionality and maximum essential oil content of Salvia officinalis. Therefore, combination of R and B lights (R70:B30) should be considered for production of Salvia officinalis under artificial light systems during commercial controlled environment production of plants.

Specialized species living in high mountain areas face more threats compared to species living in low altitudes, primarily due to habitat destruction or fragmentation and climate change.The Caspian snowcock is a  species with a specialized ecological niche and serves as an indicator of mountain ecosystems. Despite the high sensitivity of this species to habitat changes and its role as an umbrella or flagship species in mountainous areas, there is a scarcity of data on the ecology of this species. In the current study, we predicted the geographical range of this bird using 262 presence localities and 10 environmental and anthropogenic variables within an ensemble framework, resulting from five modeling algorithms. Based on the ensemble model, about 96527.4 km2 (5.8%) of the country was identified as a suitable habitat for the Caspian snowcock. Potential habitats of the species appeared to be strongly influenced by topographical roughness (30.02), average annual temperature (29.61), altitude (18.57), and isothermality (14.14). About 16.04% and 23.13% of the predicted suitable range overlapped with no-hunting  and protected areas. It is suggested that effective conservation measures should be taken by focusing on the possible threats caused by human activities, including the development of tourism infrastructure, road networks, overgrazing, and poaching.

In this paper, an arbitrary angle waveguide bend made of a new heterostructure phononic crystal has been studied. By creation of line defects in the proposed heterostructure which is composed of square and rhombus phononic crystals, a simple structure waveguide bend with arbitrary angles is made. Analyzing the proposed bend showed that by creating line defects in the composition of the square and equilateral triangle lattices, 30˚ waveguide bend can be realized. Also the study showed that by creating line defects in the composition of the square and rhombus lattices, 40˚ (20˚) waveguide bend could be obtained if the angular constant of the rhombus lattice is 80˚ (40˚). The 40˚ and 20˚ waveguide bends have a narrow pass band which can be utilized as a filter to separate a specific frequency and guide it along a defined pass. Also the study shows that by incorporation of 90˚ bend within the presented heterostructure bends, waveguide bends can be realized that guide elastic waves in the arbitrary angles greater than 90˚.

Shurijeh Formation (Neocomian - Barremian) is the main hydrocarbon reservoir in north east Iran. Most gas reservoir production place in zones B and D of this formation. In this study, comprehensive petrographic and petrophysical studies were performed to understand the factors controlling the reservoir quality of this formation. With respect to the petrographic studies, well log data, evidence achieved from the core and drill cuttings, five primary facies (petrofacies), including microconglomerate, sandstone, claystone/shale, sandy dolomudstone, and dolomitic- sandy dolomitic ooid grainstone / hybrid, were identified in the deposits of Shurijeh Formation. Sedimentary facies of the Early Cretaceous reservoir in the studied wells belong to the upper part of the supratidal zone, intertidal zone, lagoon, braided river (longitudinal bars) and meandering river (flood plain and oxbow lake). In this study, based on porosity and permeability data, 4 units of Hydraulic flow units (HFUs) were identified using flow zone indicator (FZI) method. The results of this study showed that the diagenetic processes like dissolution, dolomitization and chemical compaction (stylolites and dissolved vein) are related to the grain supported facies including micro-conglomerate, sandstone and dolomitic- sandy dolomitic ooid grainstone / hybrid and hydraulic flow units (HFU4) and hydraulic flow unit (HFU3) that have the best reservoir quality are connected. The results of this study showed that the diagenetic processes like dissolution, dolomitization and pressure dissolution (stylolites and dissolved vein) are related to the grain supported facies including micro-conglomerate, sandstone and dolomitic- sandy dolomitic ooid grainstone / hybrid and hydraulic flow units 4 and 3 that have the best reservoir quality are connected. Diagenetic processes of cementation (Silica, carbonate and anhydrite) and alteration of feldspars are associated with the dominant mud facies including claystone/shale, sandy dolomudstone of hydraulic flow units 2 and 1 which have the lowest reservoir quality.

The Couplets is a semi-traditional form that was invented by modernists during the constitutional period with the aim of transforming the poetic form and was among the common forms until the Islamic Revolution. n this article, with the aim of analyzing the effect of Couplets in the transformation of classical poetry into new Nimaei poetry, the stylistics of Couplets of prominent poets of this form has been examined on three linguistic, literary and intellectual levels.

The collection of article information was done in a library manner and it was written with a descriptive and analytical approach. The analysis of the research has been written by reflecting on the collection of poems of poets who wrote Couplets and then turned to new Nimaei poetry or are among the poets of two streams. are cited among others. The poems of Nima Yoshij, Nader Naderpour, Fereydon Tavallali, Forough Farrokhzad and Fereydon Moshiri.

The Couplets form was started by the modernists as a reason for the transformation of traditionalism in the constitutional period. The analysis of Couplets after them shows that the fields of evolution of classical poetry that reached the theory of new poetry have also passed through this form. Most of the poets of new poetry, including Nima himself, have used this form at the beginning of a poem and by leaving it aside, they wrote new poetry. Abandoning classical rhyming, avoiding language problems and using difficult words, shortening sentences, paying attention to the audience and observing grammatical principles at the linguistic level, objective imagery, the use of modern elements in poetic images and images free of problems at the literary level, logical communication Language and content, realism in the content, matching the content with the issues of the society in the social and romantic theme at the intellectual level are the features of Couplets simplistic writing that has created the grounds for the transformation of classical poetry into new Nimaei poetry.

The Couplets form, which was started by the modernists during the constitutional period, is a form that has the features of simplification, the development of the simplicity of rhyme, language, images, the development of the lyrical and social content of the new Nimaei poetry.

Kamal, is a new winter bread wheat cultivar developed by the national rainfed bread wheat breeding program for the cold and temperate dryland areas of Iran. New cultivar created by crossing between Sbn//Trm/k253 and 88Zhong218//Ctk/Vee/3/Kvz/Gv//Prl in Maragheh Research Station. Kamal was selected from segregating population from F2-F7 in Maragheh (2002-2008) based on agronomic characteristics. Based on results, Kamal grain yield means in preliminary and advanced regional yield trail was 2234 and 1719 kgha-1, respectively. Results of elite trail in cold and moderate research stations (2012-2015) showed that the grain yield mean of Kamal was 2120 and means of Azar2 and Ohadi cultivars were 2066 and 2083 kgha-1, respectively. Kamal cultivar in East Azerbaijan province was compared with conventional control cultivars in the farmer fields for 3 years and the results showed that the average grain yield of Kamal and checks were 2604 and 2230 kgha-1 respectively. Kamal is a winter type variety with time to heading of 143 days, 67 cm plant height, 40, gr. 1000 kernel weight, 11.4% protein content, 20 ml Zeleni numer, 41 degree of hardness, 27% wet gluten and 15 unit of gluten index. Results revealed that Kamal cultivar is tolerant to cold and drought stresses, with suitable earliness, and good bread quality but susceptible to yellow rust and leaf rust, this xultivar way and released in 2019 under the name of Kamal for cold and moderate cold dry areas of Iran.

Accurate investigation of kinetics and development of high-precision seed drying models will help better studying the drying process by identifying effective parameters. Present study investigates the application of cold plasma (CP), as a pretreatment process, in air drying of canola seeds. This may bring about some complication into the drying kinetics investigation. Canola seeds with an initial moisture content of 27.5±1% (dry basis) were exposed to CP for 0, 15, 30, and 60 s prior to fluidization by air at temperatures of 40, 50 and 60 °C in a pilot scale fluidized bed heated by a solar panel.  The results showed a decreasing trend in drying time from 40 to 60 oC. The shortest drying time corresponds to samples dried at 60 oC with no CP pretreatment. The longest period however occurred for samples dried at 40 oC with 60 s of CP pretreatment. The greatest effect of CP on reducing the drying time was observed at temperatures of 40 and 50 °C at the CP exposure time of 15 and 60 s, respectively.  A reasonably accurate study of drying kinetics was accomplished using the superposition method. Accordingly, using experimental data, curves correspond to different drying conditions were plotted and in two steps these were shifted to a reference curve to acquire a final drying curve. The curve then was fitted to a second-order equation, and was validated using the experimental data. The correlation coefficients, mean square error and mean absolute error were 0.99, 0.03, and 0.023, respectively.

 The Genus Thymus is one of the most important genera of the Lamiaceae family. According to Jalas (1971), Thymus is divided into eight sections: Micantes, Mastichina, Piperella, Teucrioides, Pseudothymbra, Thymus, Hyphodromi, and Serpyllum. About 18 species exist in some areas of Iran and most of them belong to Serpyllum Section and kotschiani Subsection. Chromosomal information is an important key for taxonomy, phylogeny, evolution, genetics and breeding in thyme. Therefore, this work was carried out to study the cytogenetic characteristics of genus Thymus belonging to the Subsection Kotschyani for breeding purposes and taxonomy.

Seeds were collected from 5 wild populations and germinated on wet filter paper at 20 oC. One cm long roots were pretreated with 8-hydroxyquinolin and then washed in distilled water and fixed in carnoy solution for 24 hours. Hydrochloric acid (1N) was applied for 7 min to hydrolyze the roots. Staining was done by orcein for 24 h at room temperature. Stained roots squashed in one drop of 45% acetic acid and examined by a ZEISS Axiophot compound microscope. Cells in metaphase stage were photographed with a D450; Canon Inc. Japan digital camera. Ten well prepared metaphasic cells were selected and some chromosomal characteristics such as total chromosomal length (TL), long arm length (L), short arm length (S), the arm ratio (AR) [LA/SA], and centromeric index (CI), were measured using Micro Measure ver. 3.3 software. The following karyological parameters were determined: total chromosome form (TF%), intrachromosomal asymmetry index (A1) and interchromosomal asymmetry index (A2). Karyotypic characteristics have been determined using the symmetry classes of Stebbins (SC). Karyotype formula was determined from chromosome morphology based on centromere position in accordance with the classification of Levan.

 This study reports the chromosome number and meiotic behavior of 31 populations belonging to 8 species of Thymus Subsect. kotschyani from Iran. In most species of this subsection, the base number of chromosome x = 15 and two diploid and tetraploid ploidy levels with chromosome number of 2n = 30 and 60 were observed. Only in T. migricus species, the base number of chromosome x = 14 was reported with two levels of diploid and tetraploid ploidy and chromosome numbers of 2n= 28 and 56. The chromosomes were mostly metacentric (m) or sub-metacentric (sm) in all species Among the various species with basic number of x= 15, the highest percentage of TF and the lowest amount of A1 were observed in populations belonging to T. eriocalyx (T7) indicating that this species has the most symmetric karyotypes. The lowest percentage of TF and the highest amount of A1 are in population of T. lancifolious (27) and T. fedtschenkoi (T28) species; this shows that the species has the most asymmetric karyotype among the species of this subsection. The highest amount of A2 was observed in T. eriocalyx (T7) species, indicated the asymmetry between chromosomes and chromosomal length. The difference in the number of chromosomes, ploidy levels and karyotype asymmetry in the populations and different species may be related to different environmental conditions in their habitat, pollination system (cross pollination) or polyploidy (Aneuploidy) in this genus.

 The results showed that basic chromosome number in most species is 15 (x= 15). Two ploidy levels (diploid and tetraploid) were observed among different species. Chromosomes in most species, were metacentric and sub-metacentric. Based on intra- chromosomal symmetry (A1 and TF) T. eriocalyx species (T7) has the most symmetric and most primitive karyotype and the species T. lancifolius (T27) and T. fedtschenkoi (T28) have the most complete and the most asymmetric karyotypes. Also based on inter- chromosomal symmetry, (A2) T. eriocalyx (T) species has the most asymmetric karyotype.

Prescribing and consuming drugs more than necessary is considered as polypharmacy, which is both wasteful and harmful. The purpose of this paper is to establish an innovative data mining framework for analyzing physicians’ prescriptions regarding polypharmacy. The approach consists of three main steps: pre-modeling, modeling, and post-modeling. In the first step, after collecting and cleaning the raw data, several novel physicians’ features are extracted. In the modeling step, two popular decision trees, i.e., C4.5 and Classification and Regression Tree (CART), are applied to generate a set of If-Then rules in a tree-shaped structure to detect and describe physicians’ features associated with polypharmacy. In a novel approach, the response surface method (RSM) as a tool for hyper-parameter tuning is simultaneously applied along with correlation-based feature selection (CFS) to enhance the performance of the algorithms. In the post-modeling step, the discovered knowledge is visualized to make the results more perceptible, then is presented to domain experts to evaluate whether they make sense or not. The framework has been applied to a real-world dataset of prescriptions. The results have been confirmed by the experts, which demonstrates the capabilities of the data mining framework in the detection and analysis of polypharmacy.

Investigating and analyzing the causes of droughts and destructive floods in Iran, which is facing a water shortage, is an essential issue. One of the goals of this research was to identify the extent of areas with more or less than the average precipitation during the study period.

The data used in this article was the daily precipitation of 117 synoptic stations in Iran during 1986-2020. Calculations were done through MATLAB 2013, Excel 2013 and SPSS 22 software, and Surfer 24.3 software was used for interpolation and drawing of maps.

The most precipitation October, the least precipitation November, and the least precipitation January during the 35 years studied were observed in 1987. January and February in 1996 were in the highest range of precipitation above their average. In March and May 2008, most of the country had a lot of precipitation. Absolute low precipitation was observed in November and January 1987 for all the studied stations (117 stations). Most of the stations with higher-than-average precipitation were in March 1996 with 102 stations. In January and December, compared to other months of the year, higher-than-average precipitation was seen with a greater extent. So that in 15 years, most of the stations involved in the load were higher than the average. In June, only in 3 years most of the stations had above average precipitation and the rest of the years the number of stations with high precipitation was very low.

The country's precipitation occurs in small areas most of the time. Even though, precipitation below the average occur for all stations, but rainfall above the average does not occur for all stations.

In this paper, a semi-analytical model was proposed to superimpose the initial residual stress components on the work roll surface and subsurface to minimize the maximum value of Von-Mises Stresses (MVMS) during the hot rolling process to reduce the possibility of roll wear and increase the fatigue life. A Finite Element Model (FEM) was proposed to assess the temperature and thermomechanical stress in work roll during hot rolling. An analytical method was developed to implement the three initial residual stress components designed by the full factorial analysis of variance (ANOVA) method in the obtained FEM thermomechanical stress results. An Artificial Neural Network (ANN) was used to establish an objective function to relate the initial residual stress components to the MVMS. Subsequently, the single and multi-objective Genetic Algorithm (GA) optimization were used to find the optimal value of initial residual stress components to minimize the MVMS on the surface and subsurface of the work roll. The results showed a significant reduction of boththe value and amplitude of the MVMS on surface and subsurface of a work roll during the hot rolling process.

Mortality is one of the common consequences of non-trauma patients (NTP) admitted to the intensive care unit. In this study, hemoglobin concentration and its relationship with clinical outcome in NTP was investigated

This cross-sectional study was performed on the records of 400 non-trauma patients admitted to the General Intensive Care Unit of Besat Hospital in Hamadan during 2020-2022 in terms of hemoglobin concentration and its relationship with clinical outcome. Study data were analyzed using SPSS software version 23 and Student t-tests, one-way analysis of variance, and Pearson correlation coefficient.

In this Cross-sectional study, cancer (18.8%), drug poisoning (14.8%), poisoning (14.5%), and DKA (8.8%) were the most common causes of non-trauma hospitalization. The incidence of in-hospital death was 18.8%. Sepsis, pulmonary embolism, myocardial infarction, meningitis and DIC with 46.7%, 22.7%, 18.7%, 6.7% and 5.3% were the most common causes of death, respectively. There was a significant relationship between hemoglobin concentration with age, sex and duration of hospitalization (p<0.05). A significant relationship was observed between lower hemoglobin concentration before and during hospitalization with increased mortality (p<0.001).

In the present study, the hemoglobin of non-trauma patients decreased during hospitalization compared to pre-hospitalization period and this decrease in hemoglobin level was associated with increased mortality of non-trauma patients in the hospital.

Saffron (Crocus sativus L.) is a perennial plant of the Iridaceae family and is cultivated in Iran, Morocco, India, Greece, Italy, and Spain. Iran is considered the main producer of saffron, with the most optimum climate for saffron. Today, the dramatic increase in food production in the world requires high amounts of chemical fertilizers. However, some of the adverse effects of chemical fertilizer overuse in conventional farming practices have been well reported. In this regard, manure can be a good alternative, which can guarantee both agricultural production and nature protection. Potassium is one of the most important nutrients for plant growth after nitrogen. In spice plants, potassium indirectly improves nitrogen utilization and protein formation, flower size, flower yield, oil content, color, etc. in spice plants. This study investigated the effect of different animal manures in combination with different levels of potassium sulfate on saffron flower criteria.

The factorial experiment was carried out based on a randomized complete block design with three replications at the agricultural lands of Jovein County, during the three cropping years of 2015-16, 2016-17, and 2017-18. The first factor includes three types of organic manure: laying poultry manure (5 and 10 ton.ha-1), broiler poultry manure (5 and 10 t.ha-1) and cow manure (20 and 40 ton.ha-1) and control (without the use of organic manure) and the second factor includes different amounts of potassium sulfate fertilizer (0, 100 and 150 kg.ha-1). The basis for determining the consumption of each organic fertilizer was applied based on the recommended nitrogen and soil test. Saffron was cultivated in September 2015 in the length of 3 m and width of 1 m plots. Flower yield was determined randomly from 40 × 50 cm-2 quadrates. Data analysis and figure drawing were performed using SAS 9.1 and MS-Excel software.

The results of analysis of variance in two years showed that the effect of animal manure and potassium sulfate and their interaction were significant on the number of flowers, total flower weight, stigma dry weight, and style dry weight. Also, potassium sulfate and manure's main effects and interaction were significant on the dry weight of flowers without stigma and style in the second year. However, the main effects of potassium sulfate and manure significantly affected on the dry weight of flowers without stigma and style, but their interaction was not significant in the third year. The highest number of flowers was obtained in the treatment of 150 kg.ha-1 potassium sulfate and 40 ton.ha-1 cow manure in the second year, and it was obtained in the treatment of 150 kg.ha-1 potassium sulfate ten ton.ha-1 laying poultry manure in the third year. The highest total flower weight belonged to the treatment of 150 kg.ha-1 potassium sulfate and 10 ton.ha-1 was laying poultry manure in second and three years. The highest stigmas dry weight was observed in 100 kg.ha-1 potassium sulfate and 40 ton.ha-1 cow manure treatment in the second year, and the highest amount of this trait was related to the treatment of 100 kg.ha-1 potassium sulfate and ten ton.ha-1 broiler poultry manure in the third year. The results of this experiment indicate that the application of animal manures and potassium sulfate combination has positive effects on improving the yield of saffron flowers and eco-friendliness. It seems that the combination of animal manures and chemical fertilizers can reduce the use of chemical fertilizers.

The results of this study showed that the best treatment for most traits was 150 kg.ha-1 potassium sulfate and 40 ton.ha-1 cow manure interaction treatment in the second and third years, and then the 150 kg.ha-1 potassium sulfate and ten ton.ha-1 laying poultry manure treatment could be mentioned as the superior treatment. In general, according to the findings of this study, it seems that the simultaneous application of optimal amounts of ecological inputs and chemical fertilizers of potassium sulfate can reduce the destructive effects caused by excessive use of chemical fertilizers on this valuable medicinal plant while improving the properties of saffron flowers.

Fire blight, caused by Erwinia amylovora bacteria, is one of the well-known plant diseases in the world including major diseases of the fruit trees, especially apples and pears. In recent years, due to chemical nature of the pesticides damaging human health and environment, the importance of biological control is considered as alternative measure to manage plant diseases. To investigate the possibility of biological control of the pathogens, healthy foliar samples of apple, pear, and quince trees were collected from different regions of Kerman Province, Iran, and then, biocontrol activity of antagonist agents was evaluated under laboratory conditions. On the basis of the results, some of the antagonists could decrease the symptoms of the disease by 14.28-79.59%. Laboratory evaluation included investigating the disease severity in immature pears, biocontrol activity of antagonist agents in the plate assay, inhibitory siderophore production, biofilm formation capacity, drought stress tolerance, and silver nanoparticle synthesis capability, which showed that these antagonist agents could potentially control the disease. Among the 9 well-performed antagonistic isolates from apples and pears, Vr87 isolate was selected. The studies were confirmed by amplifying part of 16S rDNA region of the isolate, using specific primers. By comparing the results on the NCBI website, the selected isolate was identified as Enterobacter sp. genus. Among all selected isolates as successful factors in controlling fire blight pathogen, including isolated isolates and isolates in the collection of Vali-e-Asr University, Bacillus subtilis strain BsVRU1 in the Vali-e-Asr University collection, with 73.5% inhibition, had higher inhibitory power than the other antagonist isolates against the pathogen of fire blight disease.

 Heat waves (HWs) are one of the most important climatic disasters that have devastating environmental consequences in nature every year). The purpose of this study is investigation of the effect of heat waves on the intensification of thermal islands in Sanandaj city from 1989 to 2018. The constant rise in temperature of the city as an urban heat island and the sudden occurrence of HW's as one of the major climatic hazards, is an important concern of urban management policy makers; because intensify heat of this city and cause a lot of environmental damage.

 In order to identify HWs in Sanandaj city, from 1989 to 2018, by using Fumiaki Index and MATLAB software, days whit temperature above +2 standard deviation or above the mean Normalized Thermal Deviation (NTD) that lasted at least two days, were identified as the day with HWs and calculated by equation 1. (1) Where, T (i, j, n) is temperature of day ith from month jth in year nth indicates the average temperature of day i from month j. To eliminate the noise in the mean, a 9-day moving average filter was performed on these data three times and calculated by the following equation. (2) Where, ∆T= (i, j, n) indicates absolute deviation of temperature from the average on day jth of the month i th, in year n th compared to the average temperature of the same day. In order to the values of temperature deviation of different times and places to be comparable at a certain time and place, it is necessary to standardize these absolute values of temperature deviation by means of temperature diffraction. Like day-to-day changes, diffuse T∆ at 31 days for each day is calculated by the following equation. (3) The value is the average temperature deviation in 31 days that is calculated by the following equation. (4) Finally, (NTD) is calculated by the following equation. (5) Where .Then in MATLAB software, days with temperatures +2 above average (NTD) and lasting at least two days, were selected as the day with the HW. (6) Then the thermal island was calculated in Sanandaj city using Equation 7. SUHI= MLSTurban –FLSTrural (7) Where, SUHI is the island surface heat index, MLSTurban and FLSTrural are the average surface temperature of urban and rural areas, respectively.

 The results showed that, during the study period (1989-2008), the highest frequency of HW hazards in this city was in September, February, March, and October 1991. The maximum duration of HWs was 6 days, which occurred in December 2017 and 2005, therefore long-term HWs have been experienced in this city. Results also showed, in both HW and NHW conditions, in the hot and cold months of the year, often a cold island is formed in the city center during the day and a heat island is formed at night. Results also showed that short-time heat waves have been effective in intensifying heat islands. Examination of the intensity of thermal islands in this city showed that during the day in both HW and NHW conditions, which in the HW conditions dominance of the cold island compared to normal day, it has been reduced and in the last months of winter (February), even during the day, a heat island has been created in the center of the city. At night time, in both HW and NHW conditions, a heat island was created in Sanandaj center, but the intensity of night- time heat islands in HW conditions is often significantly higher than normal conditions especially in the winter. Investigation of the condition of thermal islands in the warm months of the year showed that in both HWs, a cold island has been created in the city center that the intensity of cold islands during the HW conditions, especially in the summer months, was often higher than NHW conditions. At night time, there was often a heat island in the city center that was more intense than normal day. Also, in HW conditions, wind speed and especially relative humidity has decreased significantly more than the cold months of the year.

 

 According to the results the highest incidence of HW hazards occurred in the winter and early spring. Also, long-term (6-days) HW occurred in this period. The increasing trend, frequency and continuation of HW, especially in the cold months of the year, can be the effects of climate change and global warming. Severe and continuous HWs occurred in Sanandaj city, especially in late winter, can cause early germination and flowering of crops and gardens and it will negatively affect agriculture and horticulture and will lead to great economic losses. The effects of HWs on heat islands occurred in the suburbs due to having a clear sky without pollution, with minimal vegetation and lack of surface water resources and ground with low heat capacity is affected by HWs faster than the city center and as the land surface around the city becomes warmer than its center, a cold island is formed in the city center. At night, the suburbs due to low heat capacity, lose absorbed heat faster and as a result, the heat island is formed in the city center. In general, the occurrence of heat waves in the intensification of thermal islands in the Sanandaj city, especially in the warm months of the year, has a significant effect, and it is likely to intensify in the coming decades, especially at night during the hot months of the year.

Emotional fatigue in organizations where physical safety is at risk, is a threat to standard and uniform operations. The aim of this study was to investigate the effect of ethical leadership on emotional fatigue by considering personality variables.

The research method is applied in terms of purpose and in terms of method is descriptive-correlation. Population of the study includes personnel of the Fire and Safety Services Organization of the municipalities of Hamadan province that were 400 people, that 240 people were selected as the sample size by relative stratification method based on Krejcie and Morgan. The data collection tool was a questionnaire. In order to analyze the findings, the path analysis model was used and for the analysis of the mediating variable, the Sobel test was used.

The results of path analysis model showed that moral leadership and personality traits have a direct and indirect negative effect on emotional fatigue. Ethical emotion and tolerance of ambiguity also play the role of mediator variable in the relationship between other variables.

By promoting concepts such as moral emotions, conscientiousness and the power of tolerating ambiguity, it is possible to create stronger moral environments that to be a prerequisite and supporter of moral behavior, and strengthen and maintain ethics in the organization and thereby reduced emotional fatigue.