a. heydari

Technetium-99 in nuclear waste as one of the toxic and hazardous radioactive pollutants should be quantitatively and qualitatively identified before final disposal. In the present research work, Technetium -99 in the aqueous phase of the concentrated waste of Bushehr nuclear power plant was qualified and quantified. To achieve this goal, Cesium-134 and 137 were firstly separated using potassium cobalt hexacyanoferrate(II) adsorbent. Then, tritium was removed using thermal treatment at 60˚C, and finally technetium-99 in this media was purified by removing beta emitter radioisotopes such as cobalt- 60, iron-55, and nickel-63 using precipitation process with iron(III) hydroxide. The samples were qualitatively and quantitatively evaluated using gamma spectrometry and liquid scintillation counter instruments. The results showed that purified Technetium-99 has a high radiochemical purity and other radioisotopes were removed from the media with an efficiency of about 100%. Also, the beta spectrum of the sample was in complete accordance with the beta spectrum of the standard samples. The total yield of the proposed processes using the increase of Technetium-99m tracer to the original sample was equivalent to 80.69%. Taking into account the 93% efficiency of the liquid scintillation counter and the processes yield (80.69%), the specific activity of Technetium-99 was calculated as 10554.13 Bq.L-1.

The recent outbreak of the COVID-19 disease has just appeared at the end of 2019 that has now become a global pandemic. Analysis of mathematical models in the prediction and control of this pandemic helps to make the right decisions about vaccination, quarantine, and other control measures. In this article, the aim is to analyze the three control measures of edu-cational campaigns, social distancing, and treatment control, that these control measures can reduce the spread of this disease. For this purpose, due to the uncertainty in the model parameters, a sliding mode control law is used. Furthermore, because the model parameters are changing and the upper limit of the parameters that have uncertainty should be known, then an adaptive control is used to estimate the switching gain online. In addition, in order to prevent the chattering phenomenon, the sign func-tion is used in the sliding control law. Also, the obtained properties are expressed and proven analytically. Therefore, initially, the controller is designed assuming certain knowledge of an upper bound of the uncertainty signal. After that, the parameters that have uncertainty in the simulation are obtained by online estimation of the adaptive control. The efficiency and performance of the controller in the absence of the certainty of the model parameters are investigated, and the results show the desired per-formance of this controller. Finally, the performance and efficiency of the controller are evaluated by simulation.

The development of non-hydrogen desulfurization processes is an important necessity due to the reduction of operational costs. Extractive desulfurization is one of the most important non-hydrogen processes for removing sulfur compounds from liquid fuels, which has been successful in removing various sulfur compounds. One of the methods of intensifying chemical processes is to carry out that process in small dimensions (millimeters, micrometers and nanometers), which has received attention under the title of microfluidic technology in recent years. By reducing the hydrodynamic diameter of the contacting entities, the surface-to-volume ratio increases significantly, leading to the emergence of new phenomena. One of the benefits of using microfluidic technologies is the improvement of mass and heat transfer coefficients, which accelerates the process. Performing extraction processes in microfluidic systems intensifies the extraction process and significantly reduces the process time. It also makes the process easier to control and safer. The efficiency of a microfluidic device for extraction depends on the available mass transfer surface and penetration length, which itself depends on the type of two-phase flow pattern formed. The formation of different patterns depends on the physical properties of liquids (density, viscosity, surface tension, wetting parameters), operating conditions (flow rate of two phases, flow ratio of phases) and channel geometry (width, depth, internal structure, input structure). According to the research conducted, by increasing the length of the channel, the residence time of the fluid increases, which leads to an increase in the amount of desulfurization, and by reducing the diameter of the channel due to the increase in the mass transfer surface, the overall mass transfer coefficient improves. By increasing the speed of the solvent and fuel, on the one hand, it leads to the improvement of the volumetric mass transfer coefficient, and on the other hand, by increasing the speed, the residence time of the fluid in the microchannel decreases, which leads to a decrease in the desulfurization rate. In this study, research on extractive desulfurization and important process parameters in microfluidic systems have been reviewed.

Smart grid is a cyber-physical system, a combination of physical devices and computational processes. Enhancing interaction between the cyber and physical layers is crucial for optimizing system operation, management, and security. Motivated by this, in this paper, a framework for solving the optimal scheduling of an AC-microgrid (ACMG) system, is presented. The optimal scheduling of the system is modelled as an optimization problem. Also, the dragonfly is utilized as a powerful optimization technique to solve the proposed optimization problem. On the other side, considering cyber-attacks as a great threat to the system which can cause disruption and outage in smart grids, a deep-learning-based method, long short-term memory (LSTM), along with the concept of prediction interval is utilized to develop a cyber-attack detection model for false data injection attacks on smart meters. In this structure, the optimization is carried out using dragonfly optimization. Also, the LSTM, which is a subset of recurrent neural networks, is designed. With an accuracy of 97%, this model can ensure the cyber-security of the structure. Furthermore, to demonstrate the excellence of the proposed method, it is compared to an Artificial Neural Network (ANN). As the results show, the deep learning LSTM approach outperforms the ANN method in terms of accuracy and cyber-security. The proposed cyber-attack detection model is first trained using historical data and then is used in real-time conditions. For investigating the effectiveness of the proposed approach, the modified IEEE 33-bus test system is utilized. The results significantly show the effectiveness of the proposed methodologies

The present study aims to investigate everyday life events captured in the first photographs of Iranian history. As such, by focusing on a collection of photo albums from Naseri and Mozaffari eras (two Qajar rulers) and by scrutinizing them, an attempt was made to elucidate the representation patterns and modes, through which, everyday life appeared in those photos. With an emphasis on semiology and taking into account the time-space, transcendental and immanent concepts, the paper tries to examine visible and invisible patterns of everyday life in those photographs. For that sake, the images were classified into six categories: Transcendental places, photography of nature, non-royal settings, iconography out of place and time, exotic eroticism, and everyday life. The study explores the relationship between each category and the presence of everyday life, focusing on archetype photos to provide in-depth analysis and discussion.

Self-monitoring is a complex and subjective concept, and various definitions of it have been presented. Lack of proper understanding and application by the treatment staff leads to an increase in the burden of referrals, imposing costs and reducing the quality of people's lives. This concept has been used many times by researchers, but its dimensions have not been fully identified. This study was done with the aim of clarifying the concept of self-monitoring.

Analysis of the concept of self-monitoring, based on the model of Walker and Avant (2005) was done in eight steps by searching PubMed, Web of Science, Scopus, CINAHL, Irandoc, Magiran and SID databases and using the keywords monitoring, self-monitoring, self-control and self-regulation, and also their English equivalent without time limit until 1402 (2023).

Self-monitoring is a multidimensional concept. Health literacy, motivation and purposefulness are its most important components. This type of care can occur at different individual, interpersonal, family and community levels.

The present study identified different dimensions of the concept of self-monitoring. Future studies can use the results of this study to create tools and design effective and multidimensional interventions so that its effects can be seen on a wide scale.

Nurses caring for patients with obesity face difficulties in providing services. The difficulty of care causes inaccurate and incomplete care and sometimes not receiving care, which can lead to many complications for the patient. For this purpose, this study was conducted to explain nurses' experiences facilitating and impeding factors in providing care to patients with obesity.

In this qualitative conventional content analysis study, 20 nurses and 6 patients with obesity in two large hospitals affiliated with Mashhad University of Medical Sciences were interviewed. The participants were selected by purposeful sampling, and the interviews were conducted in-depth and semi-structured. Data analysis was done using content analysis & MAXQDA software.

The facilitating and impeding factors in providing care to patients with obesity in the hospital were divided into four categories; "cooperation versus passivity in the process of self-care," "influential level family involvement at the patient's bedside," "organizational challenges in care," and "nurse competence level in care ."

Organizational changes such as creating collaborative care in difficult situations, considering the patient classification system for patients with obesity, providing large-sized welfare and treatment equipment, increasing the skill level of nurses, and ways to improve interaction with the patient and his family can be practical solutions in providing care to patients with obesity.

$X$-bar control charts are widely used to monitor and control business and manufacturing processes. Design of control charts refers to the selection of parameters, including sample size, control-limit width, and sampling frequency. Many researchers have worked on this issue and have also proposed various solutions. However, despite the numerous advantages, the proposed methods also have their own set of problems. The biggest challenge is the complexity of solving these issues. Due to the fact that optimal design of control charts can be formulated as a multi objective optimization problem, in this paper to solve this problem, we used initial solution Spider's web data envelopment analysis method. In previous methods used multiple algorithms to resolve the issue. But in the proposed method once using Data Envelopment Analysis method and without any other algorithm can solve multi objective problem and this method can yield desirable efficient. Lastly, we compare our method with others and demonstrate its application in a real industrial context.

This study aimed to explain the nurse-patient healing relationship and its challenges.

The healing relationship between the nurses and patients was investigated using the scientific internet and library research background. The scientific database was searched using the determined keywords of interpersonal communication, healer, nurse, client, and nursing to 2022 September. Then, related studies were identified and studied completely after reviewing the abstracts. A comprehensive review of the sources provided the basis for the development of the concept and the introduction and comparison of its dimensions.

The required knowledge includes personal and interpersonal knowledge and evolutionary theory, cultural diversity knowledge, knowing the clients, knowledge of health and disease, health policies on the patient care of the client, and knowledge of healthcare systems. The required capacities include self-awareness, self-knowledge, respect, honesty, strength, empathy, and awareness of the boundaries and limitations of the professional role.

Although the important challenges for healing relationships, i.e., the presence of qualified nurses and sufficient human resources, make some obstacles to its implementation, the use of healing communication can increase the independence and professional authority of the nurse. Healing communication as a human approach is suggested to increase favorable outcomes for clients and nurse recommendations.

‎‎shifted Legendre orthonormal polynomials (SLOPs) are used to approximate the numerical solutions of fractional optimal control problems‎. ‎To do so‎, ‎first‎, ‎the operational matrix of the Caputo fractional derivative‎, ‎the SLOPs‎, ‎and Lagrange multipliers are used to convert such problems into algebraic equations‎. ‎Also‎, ‎the method is proposed for solving multidimensional problems. ‎We obtained the error bound of the operational matrix in fractional derivatives and proved the convergence of the method‎. ‎Then‎, ‎this is tested on some nonlinear examples‎. ‎‎Comparison of our results with those obtained by other techniques in previous studies revealed the accuracy of the proposed technique for nonlinear and multidimensional problems‎.

In present work, the effects of elastic and viscous medium, arbitrary variation of material properties in transverse and radial directions, linear and nonlinear tapering, Poisson’s ratio, arbitrary radial load and various boundary conditions on angular frequency of circular plate are investigated. The total potential energy is minimized by using the spectral Ritz method due to fast convergence and adaptation to different boundary conditions. The novelty of this work is that the difficulties of the employing adhesive or auxiliary functions are resolved by introducing generalized basis of orthogonal Laguerre polynomials. Moreover, the optimization is performed by calculating the determinant root of total potential energy Hessian and eliminating the inverses of high-order matrices in iterative steps. The accuracy of the results has been confirmed by observing convergence and a good agreement between results of current work and previously published works in literature. By increasing the power index and decreasing the taper constant, decreasing indeterminacy degree and Poisson ratio, increasing attenuation and decreasing stiffness, decreasing the elastic modulus at the edge of the plate and applying more compressive load near to the center of the plate, the angular frequency of free vibration will be reduced.

Recent research in education are focused on optimal designs for educational spaces in order to make them compatible with the contemporary socio-environmentally friendly concept of education. Accordingly, three major types of educational spaces are defined: linear (like Alborz and Firooz Bahram), introspective (such as Khan School in Shiraz and Khargerd Ghiasieh School), and religious (the likes of Agha Bozorg in Kashan and Salehiyeh in Qazvin). In comparing these three types of spaces, the relationship between classroom and external space, accessibility, physical and visual configuration, flexibility, and compatibility of educational space with the features of the special arrangement were measured and then analyzed in terms of the interaction between classroom and external space using appropriate models. The results have led to two models for special configuration in educational buildings in the future. The main feature of these models has been the maintenance of the strengths of both traditional and contemporary buildings in order to provide students with a flexible, accessible, nature-oriented, and visually appropriate environment.

 Covid-19 is an important challenge today, and there are hidden angles of coronary fear in nurses that affect patient care. The purpose of this study was to investigate the dimensions of the concept of corona fear in nurses, define its features and functions in nursing and provide a conceptual definition.

 Walker and Avantchr('39')s (2011) concept analysis method, which is a useful method to simplify the concept, was used to analyzing the concept of fear from Covid-19. With the keywords, Fear, Corona, COVID-19, and Nurses, English online databases include Pubmed, Scopus, Web of Science, CINHAL, and Ovid were searched at all times, and finally, 23 articles were included in the study.

 Fear of being unfamiliar with Covid-19 and lack of knowledge about the disease, Fear of getting Covid-19 and then death or transmission and subsequent transmission of the disease to friends and family, Fear of lack of support from managers and organizations In case of infection, fear of incurring high costs of treatment of the disease in case of infection, fear of various aspects of personal protective equipment and fear of increasing workload and exacerbating the shortage of nursing staff are the characteristics of fear of Covid-19.

Understanding the dimensions of the concept of corona fear in nurses helps to manage and control this fear. These dimensions can also be used as conceptual foundations in future research.

The construct of erotic woman in the history of Iran is a focal point in the history of sexuality. This study is designed to investigate when the woman become erotic using the genealogy. This article used two groups of historical documents: erotic pictures of the Safavid era, and written documents from this period. During the reign of King Abbas, the Great, a transition occurred from literary nudes to erotic nude in paintings. And since then, the images of women were presented with greater individuality in the organs. Towards the Late Safavid, nude images of women are continually symbolized the West. However, the question is not about the dualities of Western women and Persian women, but it is about the controversy between Christianity, Sufism, and Islam. Also numerous dissertations were written about this controversy. Therefore, nudity was attributed to the Western Christian woman. Through depicting female figures in solo paintings and murals, a new definition of femininity gradually began to emerge in the Persian man's imagination, and a kind of geographical shift in the Persian male desire was formed. The Christian woman become the object of Persian man 's longing, whose aftershocks were seen in the Qajar era more severely.

Knowledge patterns in nursing are key foundation elements for the development of knowledge and practice. Carper identified four fundamental knowledge patterns; empirical, personal, ethical and aesthetic. Chain and Kramer added the pattern of emancipatory knowledge to Carperchr('39')s patterns. The pattern of emancipatory knowledge in nursing has been neglected. The aim of this study was to familiarize nurses and nursing researchers with the pattern of emancipatory knowledge in nursing.

This study was one of the types of non-systematic narrative review articles. First the keywords Emancipatory, knowing, knowledge, education, research, practice, caring, nursing were defined based on the mesh system and using "AND" and "OR". Search ISI, PubMed, Scopus, and Google Scholar. Finally, the search results included 7 books and 17 articles in the field of nursing knowledge patterns, philosophy, knowledge patterns, education, research and clinical practice of emancipatory knowledge.

Emancipatory knowing in nursing means questioning the nature of knowledge and the ways in which knowledge itself—or what is taken to be knowledge—contributes to larger social problems. The nurse critically addresses the issues facing the patient to correct social structures.

The use of Emancipatory knowledge gives nurses the opportunity to take fair and equitable measures to improve the health of communities.

In this paper, we will study compatible triples on Lie algebroids. Using a suitable decomposition for a Lie algebroid, we construct an integrable generalized distribution on the base manifold. As a result, the symplectic form on the Lie algebroid induces a symplectic form on each integral submanifold of the distribution. The induced Poisson structure on the base manifold can be represented by means of the induced Poisson structures on the integral submanifolds. Moreover, for any compatible triple with invariant metric and admissible almost complex structure, we show that the bracket annihilates on the kernel of the anchor map.

Sheet piles are of general water retaining structures. The discharge flow rate beneath sheet plies is an important parameter in the design of these structures. In this study, the Gene Expression Programming (GEP) as an Artificial Intelligence (AI) method is used for developing a model to predict the discharge flow rate. The input parameters include the sheet pile height, upstream head and hydraulic conductivity anisotropy ratio. In order to achieve better performance, the flow rate is normalized and selected as an output of the model. A database including 1000 cases are created from the Scaled Boundary Finite Element Method (SBFEM) for the seepage beneath sheet plies is employed to develop the model. The GEP-based model predictions demonstrate a reasonable agreement with the simulated data, which indicates the efficiency of the developed model. The results of the sensitivity analysis indicate that the upstream head is the most influential parameter in the discharge flow rate beneath the sheet piles. Furthermore, the outputs of the parametric analysis show the reasonable performance of the model in the prediction of normalized discharge flow rate.

Ionosphere layer variations are divided into regular and irregular. Regular changes can be considered as daily changes, changes depending on latitude and changes due to solar activity. Travelling Ionospheric Disturbances (TID) is one of the irregular changes of ionosphere which categorized in small, medium and large scales. Medium-scale Travelling Ionospheric Disturbance (MSTID) which are propagated because of Atmospheric Gravity Waves (AGW) is the main obstacle for accurate interpolation of ionospheric correction in a Global Positioning System (GPS) network, so detection and simulation of these perturbations is necessary. The purpose of this paper is discovering MSTID using carrier phase, which in addition to the values of the total electron content recovered from the observations of GPS also confirm the values detected using the carrier phase observations. MSTIDs are waveforms that have parameters such as amplitude, velocity, direction and wavelength that extracting these parameters are goal of simulation of MSTID. Generally, MSTIDs are planar and longitudinal waves, so to calculate their parameters, first a profile of or dSTEC by constant latitude is considered, then by examining displacement of maximum values of these parameters in a period of time, velocity will be determined. To calculate wavelength, wavelet analysis was used. Results of  and TEC observations were almost identical. MSTIDs have movement in southwest-northeast direction by velocity of 100 meters per second and wavelength of 232 kilometers and amplitude of 0.02 TECU. It means that these perturbations cause an error of 4 millimeters in L1 measurement. Since, phase observation’s precision is 1 millimeter, this error value is significant.  However, the carrier phase observations can be measured with an accuracy of one hundredth of a cycle, which by multiplying this value by the wavelengths of the GPS signal will be about 2 mm. Therefore, error that occurs due to MSTID, it is significant and should be considered.

Understanding of urban life influenced by the conventional pathological logic has led to the perception of what is known as “Suburbanization” as something outside the city and as islands separate from the center. Kahrizak, as one of the suburban districts of Tehran, has strongly entangled in such an understanding. Focusing on the problem of generating Kahrizak, this study strives to show how Kahrizak has been embodied in the confluence of forces. The present study's question is to engage in a field understanding of the forces that have provided the ground for Kahrizak to appear and emerge. Genealogy and methods of space production influence the present study in the context of social relations. The genealogical research aspect is based on its involvement in understanding the relations of forces, their becoming process, and the story of their confluence. The present study focuses on some key moments as starting points for the spatial formation of Kahrizak: moment 1) Sugar factory; moment 2) Land reform or the continuation of the fragmentation of Kahrizak space; moment 3) Creating the dock; & moment 4) Kahrizak construction in Oral history.

In care of brain-dead patients, nurses face several challenges. It is important to determine
the context behind these challenges since they affect the performance of nurses and the organ donation
process.

To identify factors affecting the emergence of challenges related to the management of braindead patients by nurses in the donation process.

In this qualitative conventional content analysis, data were collected by performing 28 semistructured and in-depth interviews with nurses working in the ICUs. Purposive sampling started from
March 2014 until saturation, which was reached in June 2016. Data analysis occurred simultaneously
with data collection.

Qualitative analysis of contents provided from interviews led to the extraction of themes that
showed the experience of nurses about the challenges of caring for brain-dead patients in the donation
process. These themes included “doubt and conflict in accepting the situation” and “defects in an effective and targeted care system.” In the end, the main theme of “inconsistency and incompatibility of care
management” was abstracted.

According to the results of the study, factors involved in the emergence of challenges for nurses in care management included defects in education or managerial problems, which increased tension
for nurses.

The definition of ostomy acceptance is not well defined in the literature. In addition, the concepts of ostomy acceptance, ostomy adjustment and adaptation are sometimes used interchangeably. The aim of this study was to determine the concept of ostomy acceptance, the difference between this concept and ostomy adjustment and to determine a specific definition for these concepts.

This review study was conducted by Rodgers concept analysis method. The literature published between 1945 and 2020 on ostomy acceptance was reviewed. Based on Rodgers evolutionary approach, which is based on the analysis of raw data in the literature, the databases ProQuest, PubMed, science direct and Scopus were selected for the search and the keywords ostomy, colostomy, ileostomy, urostomy, adjustment, acceptance, coping, adaptation and Persian equivalents of these words were used. In total, the full text of 28 articles and one book were reviewed by thematic analysis.

Acceptance of ostomy means recognizing that as a part of the body and returning to a normal life. Coping with ostomy, applying coping strategies and adapting to ostomy are the antecedents for acceptance, and adjustment and quality of life are consequences for ostomy acceptance. Patients must first accept the ostomy as a part of their body and then go through the stages of adjusting to the ostomy.

Applying the concepts of acceptance, coping, adaptation and adjustment instead leads to confusion for users of scientific texts. This study can help nurses, researchers, and other members of the treatment team to design, plan, and perform appropriate interventions for patients with ostomy by identifying differences in these concepts.

Our concern is with the image of the west in the first Iranian travelogues. How Elements which shape the west image in these travelogues are assembled? Where is their origin? How they interact with each other and were narrated? The contemporary image of the west is an over-determined and dreamlike image-narration. By relying on concepts such as over determination, different histories, elements, and moments, we try to suggest an interpretation about the structure of west narration in primary Iranian travelogues. Our research suggests the idea of the west, in mystical and Sufi doctrine, represents a sequence of association: material-body-darkness-descend-temptation-guilt-accident. The idea of the east associates the opposite side of sequence: sprit-gust-light-ascend-certainty-virtue-essence. These sequences of associations are preconditions of visibility which the first travelogues experience the geopolitical west. Our research about the origins of the narrative structure of travelogues about the west suggests that synthesis of the colonial and the mystical thoughts create a special narration about the east-west relation. East is the ascending arc and west is the descending arc. This image of east-west relation is one of the main assumptions of orientalism.

Line N-78-14 with the pedigree of SHA4/CHIL CM91099-25Y-OM-3N-1Y-OYZ-O10M-OY-3M-O10 was obtained from CIMMYT, Mexico in 1996 through High Rainfall Wheat Screening Nursery. Preliminary evaluation of the genotypes in International Nursery in Gorgan and Sari Research Stations during 1996-97 cropping season, resulted in selection of this line as one of the most high yielding genotypes. Selected lines were evaluated in preliminary regional wheat yield trials of north warm and humid climate in 1997-98 in four locations of Gorgan, Sari, Gonbad and Moghan. Line N-78-14 together with other selected lines were tested then in advanced regional wheat yiled trial (ARWYT-N) in 1998-79, and later in ellite regional wheat yield trials (ERWYT-N) for three years in four locations. In all these experiments line N-78-14 was the most high yielding line compared to the check cultivar and other lines. Evaluation of line N-78-14 for resistance to different diseases in special disease nurseries in different locations under artifical inoculations indicated that in most locations, this line was resistant or moderately resistant to yellow rust and leaf rust while tolerated well fusarium head blight and septoria leaf blotch diseases. Line N-78-14 has been evaluated as a good baking quality wheat containing high molecular weight glutenine allels 2*, 7+9 and 5+10. Due to high yield, yield stability and compatibility, resistance to diseases and good baking quality, this line was introduced as Darya in 2006 for cultivation in warm humid climate regions of Khazar, Iran.

A breeding hexaploid line named Bloyka (ICW84-0008-013AP-300L-3AP-300L-0AP) was introduced to Iran through international nurseries RBWYT-FA and RBWON-FA from International Center for Agricultural Research in the Dry Areas (ICARDA) in 1996 and evaluated at three research stations of temperate zone (Karaj, Islam-Abad and Zarghan). Due to its superior grain yield over check cultivars (7.014 tha-1 vs. 6.986 tha-1 of Mahdavi in Karaj, 8.246 tha-1 vs. 8.002 of Mahdavi in Islam-Abad and 8.111 tha-1 vs. 8.222 of Marvdasht in Zarghan) it was selected and forwarded to advanced trials. This line was tested in advanced trials of temperate zone breeding program during 1997-2000 and due to its qualifications including resistance to stripe and leaf rusts it was considered to be included in adaptation trials. Therefore as an elite genotype (encoded as M-79-7) this line was investigated in adaptation trial in 9 research stations of temperate zone along with check cultivar Marvdasht during 2000-2002. Based on results of two cropping seasons this line produced 6.914 tha-1 grain yield in average in comparison to 6.521 tha-1 of Marvdasht. This line with mean rank of 6.5 and standard deviation of rank equal to 4.8 was one of the most stable genotypes of investigated germplasm set. Drought tolerance of M-79-7 line was also assessed under water deficit conditions compared to Pishtaz check cultivar for irrigated farms and Sardari, Azar-2 and Cross of Alborz cultivars for rain fed conditions and it was found to be partially tolerant to terminal drought. In respect to disease resistance its reaction to a newly spread race of stripe rust in Zarghan research station was 25MR against 80MS, 80MS and 30MR/M for check cultivars Shiraz, Marvdasht and Pishtaz respectively. Bread making quality of M-79-7 was assessed to be moderate to good based on its 11% grain protein content, 83.5 kg hectoliter weight, 29 ml Zeleny sedimentation volume and 54 degrees of grain hardness. The high molecular weight glutenin subunit genotype of M-79-7 line was 2*, 7+8 and 2+12 for three loci of Glu-A1, Glu-B1 and Glu-D1 respectively. Validation trials in farmer's fields confirmed this line as a qualified genotype to be released as a new irrigated bread wheat for temperate regions of Iran.

In this paper, the generalized likelihood uncertainty estimation (GLUE) method is evaluated for updating rainfall-runoff model parameters in Gharehsoo-Karkheh sub basin. In two scenarios, observed discharges in continuous (from the beginning of the flood hydrograph) and discrete periods were used to change the parameters and update the forecasts in each time step. The continuous scenario showed better performance. Therefore, lead time and forecast error were computed in the continuous scenario. It was assumed that precipitation ends in the next time step while rainfall intensity and observed discharge in the current time step were used for updating. The results showed that GLUE was capable and flexible in correcting the forecast discharge error due to no forecast of rainfall. Lead time was represented by the difference in the time at which the peak discharge distribution becomes stable and the actual observed time to peak discharge. A lead time of 8 hours was achieved for two floods in Gharehsoo sub-basin with some 20 hours of time of concentration. The forecast error remains the same after the time when the peak discharge distribution becomes stable. The error in the simulation of the peak discharges of two floods were 21 and 16 percent which are caused by the uncertainty in the model structure and input data.