Khuzestan Province Research Articles

Potential application of spectral indices for olive water status assessment in (semi-)arid regions: A case study in Khuzestan Province, Iran.

Spectral indices can be used as fast and non-destructive indicators of plant water status or stress. It is the objective of the present study to evaluate the feasibility of using several spectral indices including water index (WI) and normalized spectral water indices 1-5 (NWI 1-5) to estimate water status in olive trees in arid regions in Iran. The experimental treatments involved two olive cultivars (Koroneiki and T2) and four irrigation regimes (irrigated with 100%, 85%, 70%, and 55% estimated crop evapotranspiration [ETc]). The results obtained showed that olive trees subjected to the different irrigation regimes of 85%, 70%, and 55% ETc experienced soil water content (SWC) deficits by 4.5%, 12%, and 20.5% that of the control, respectively. Significant differences were observed among the treatments with respect to measured relative water content (RWC), SWC, and the spectral indices of WI and NWI 1-5. The normalized spectral indices combining NIR and NIR wavelengths were found more effective in tracking changes in RWC and SWC than those that combine NIR and VIS or VIS and VIS wavelengths, respectively. Spectral indices were closely and significantly associated with RWC () and SWC (). Among all the spectral indices investigated, NWI-2 showed the least consistent associations with RWC (ranging from 4-15% lower than the other indices examined) and SWC (ranging from 1-23% lower than the others). Based on the pooled data on spectral indices, RWC, and SWC collected during the study period, WI, NWI-1, NWI-4, and NWI-5 showed stronger correlations with RWC and SWC than did NWI-3 and NWI-2. In conclusion, the spectral indices of WI and NWI 1-5 measured at the leaf level are found useful as fast and non-destructive estimators of plant water stress in arid regions.

Investigation and development of a novel solar-biomass integrated energy system for clean electricity and liquid hydrogen production

In the present work, an innovative power generation system based on solar and biomass energy resources is proposed. Energy and exergy methods are applied to analyze and model the system. Also, to evaluate the system's performance during the year, the values of solar radiation and ambient temperature as a transient are studied for a case study in Khuzestan province. The system consists of a biomass unit, a solar unit, a waste heat recovery unit, and a hydrogen liquefaction unit. The power is generated by two gas turbines and two Rankine cycles. Furthermore, the system produces liquid hydrogen with a Linde-Hampson hydrogen liquefaction process and a proton exchange membrane electrolyzer, and hot water with a water heater. A gasifier is utilized to convert biomass to syngas, and a heliostat field is employed to harness solar energy. For solar energy storage, molten salt is used. The system’s power output is 7967 kW, while the exergy efficiency is 11.06%. Also, the production rates of liquid hydrogen and hot water are found to be 10.74 kg/h and 7 kg/s, respectively. To gain a deeper understanding of the impact of using solar energy, a comparison of biomass, solar-biomass, and solar-biomass with waste-heat recovery is made. The results show that solar energy with waste-heat recovery reduces CO2 emissions by 30.5% while increasing the system's electrical power output by 44% as compared to scenario 1 in which only biomass fuel was used. In addition, the highest component cost rate is attributed to the solar power system, accounting for 51% of the capital investment cost.

The Acceptance and Use of Social Media in Public Libraries During the COVID-19 Pandemic Based on UTAUT Model in Khuzestan Province, Iran

ABSTRACT Present study examines the acceptance and use of social media by public librarians during the COVID-19 pandemic based on the Unified Theory of Acceptance and Use of Technology model. Simple random method based on Morgan table was used, and 175 public librarians were selected to participate in this study. A questionnaire was used to collect data, and SPSS statistical software was used for data analysis. Findings revealed that the Unified Theory of Acceptance and Use of Technology model can be applied to the admission test for public libraries in the context of using social media during the pandemic.

Evaluation of SEBS and SEBAL algorithms for estimating wheat evapotranspiration (case study: central areas of Khuzestan province)

This study aimed to accurately estimate daily wheat evapotranspiration using two remote sensing algorithms, Surface Energy Balance System (SEBS) and Surface Energy Balance Algorithm for Land (SEBAL), in central Khuzestan province during 2019–2020. The results of two algorithms were compared with lysimeter (as a direct method), FAO-Penman–Monteith (FAO-PM), two temperature-based methods (Hargreaves-Samani and Blaney-Criddle), two radiation-based methods (Priestley–Taylor and Doorenbos–Pruitt), and two mass transfer-based methods (Mahringer and World Meteorology Organization) (as indirect methods). Coefficient of Determination (R2), Root-Mean-Square Error (RMSE), Percentage of Bias (PBIAS), Mean Bias Error, Mean Absolute Percentage Error, and Nash–Sutcliffe indicators used for comparing the results. According to the results, both SEBAL and SEBS algorithms showed the highest compatibility with lysimeter data (R2 = 0.92 and 0.96, RMSE = 2.15 and 1.53 mm/day, respectively). Comparing both algorithms with the FAO-PM method, resulted in RMSE and R2 of 2.42 mm/day and 0.87 for SEBS and 3.14 mm/day and 0.79 for SEBAL. The Hargreaves-Samani method (R2 = 0.72, RMSE = 16.4 mm/day) and (R2 = 0.8, RMSE = 10.4 mm/day) among temperature-based methods, Doorenbos–Pruitt (R2 = 0.71, RMSE = 3.33 mm/day) and (R2 = 0.79, RMSE = 2.63 mm/day) among radiation-based methods, and the Mahringer method (R2 = 0.6, RMSE = 6.8 mm/day mm/day) and (R2 = 0.68, RMSE = 5.51 mm/day) among mass transfer-based methods yielded better estimations than SEBAL and SEBS algorithms, respectively. Owing to the high accuracy of SEBAL and SEBS algorithms, in estimating the amount of evapotranspiration in the study area and close to the actual values in the field, using energy balance algorithms is recommended in Khuzestan province.

Association Study of Interleukin 23 Receptor (IL-23R) Polymorphisms with Inflammatory Bowel Disease (IBD) in Khuzestan Province of Iran

Both innate and adaptive arms of immune system play role in tumor development. Moreover, genetic and epigenetic alterations, widely demonstrated in cancer cells, result in disturbances in molecular pathways regulating cell growth, survival, and metastasis. Knowledge of molecular and cellular mechanisms involved in carcinogenesis leads to improvement of targeted treatments for cancers. Similarly, allergies are immune related entities and are treated according to the molecular mechanisms of hypersensitivity reactions. Some studies support the hypothesis of inverse association between cancer and susceptibility for allergies but the correlation is not simple and some demonstrate positive relation. For example, in some studies histamine released in response to allergens plays a role in tumor progression, probably through maintaining survival of myeloid derived suppressor cells (MDSCs). However, in other studies, the protective role of IgE against carcinogenesis have been reported. In this review, the role of immune system and specific molecular mechanisms in cancer and allergy will be discussed. Based on separately mentioned factors, interactions between these two seemingly disparate entities will also be presented. We conducted this review to illustrate potential molecular and cellular mechanisms underlying the association of cancer and allergy and make a basis for future interventions.

A Study of Heavy Metal Status and its Relationship with Hematologic and Biochemical Indices in River Buffaloes in Southwest Iran.

Heavy metals are among the most important environmental pollutants which accumulate in various organs and are associated with several toxic effects. This study was performed to determine the status of heavy metals in river buffaloes in Khuzestan province, Iran, and its relationship with hematologic and serum biochemical parameters. A total of 103 apparently healthy buffaloes were sampled from the region. The concentration of heavy metals, including lead (Pb), mercury (Hg), and cadmium (Cd), was determined in serum samples by atomic spectroscopy. In addition, complete blood counts and serum biochemical profiles were assessed. The serum concentration of Cd, Pb, and Hg in the sampled buffaloes, as mean±standard error, were 0.55±0.01, 6.51±0.10, and 6.28±0.09 µg/l, respectively, which are within the permissible serum levels in the livestock. Serum Cd and Hg levels showed no significant relationship with hematologic or biochemical analytes. However, there were significant negative correlations between Pb levels and phosphorus, magnesium, sodium, as well as potassium concentrations, while serum iron was positively correlated with lead (P<0.05). In addition, there was a significant positive correlation between Hg level and serum aspartate aminotransferase activity (P<0.05). Despite the fact that river buffaloes in Khuzestan spend a long time daily in the Karun River with high industrial pollution, no serum evidence of heavy metal toxicity was found in these animals. It can be suggested that river buffaloes in Khuzestan seem to be resistant to the environmental pollution caused by heavy metals. However, further studies are required to confirm this issue and identify its possible explanations.

Evaluation of HLA-B27 frequency in patients with ankylosing spondylitis, and its relationship with clinical symptoms in Khuzestan province

Introduction: Ankylosing spondylitis (AS) is an autoimmune disease, which causes mild to severe clinical symptoms in patients. Several inherited and acquired factors are involved in the pathogenesis of the disease. Human leukocyte antigen B27 (HLA-B27) is one of the factors, whose expression affects patients’ susceptibility to AS. Objectives: In this study, we evaluated HLA-B27 frequency in AS patients of Khuzestan province of Iran. Patients and Methods: The study population (N=114) including patients with AS. Patients were examined and confirmed by a rheumatologist based on New York modified criteria. Clinical information was extracted from patients’ documents. Furthermore, general characteristics of the patients and several clinical variables (physio-pathological, self-report, and imaging) were taken into consideration. Results: The results showed that 62.3% of the patients were HLA-B27 positive, while 37.7% of which were HLA-B27 negative. This difference was statistically significant (P &lt;0.05). The disease duration was shown to be almost equal in both groups (i.e., HLA-B27 positive and HLA-B27 negative). According to the results, various clinical symptoms (like ocular complications and peripheral arthritis) were observed in patients, and the complications of which were higher in HLA-B27 negative patients compared to HLA-B27 positive ones (P &lt;0.05). Besides, it was seen that the male patients have shown a higher physio-pathological (using polymerase chain reaction [PCR] technique) report for positive HLA-B27 and a higher magnetic resonance imaging involvement compared with females, whereas the women showed higher disease activity score i.e., higher mean Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) value. Conclusion: For the AS patients, negative HLA-B27 cases show more progressive involvement sacroiliac joints compared with the positive HLA-B27 cases. More importantly, of hundred percent of patients who responded to anti-tumor necrosis factor (TNF) treatment, 52.6% were positive for the HLA-B27 antigen, and 47.4% were negative for the HLA-B27 antigen. Overall, it can be said that HLA-B27 lonely is not involved in the pathogenesis of AS and environmental factors should be investigated and involved in the disease development.

Modeling the time series of Scorpion sting in Southwestern Iran

Scorpion stings pose a significant public health concern in Iran, resulting in approximately 45,000-50,000 cases and 19 deaths annually. Scorpions, belonging to the Arachnida class, are venomous arthropods found in all continents except Antarctica. They are of particular concern in tropical and subtropical regions. The Khuzestan and Hormozgan provinces have the highest reported incidence, with an estimated 36,000 cases each year. This study focused on modeling the time series data of scorpion stings specifically in Shoushtar city from 2017 to 2022. Our objective was to investigate the presence of seasonality and long-term trends in the incidence of scorpion stings by utilizing advanced analytical techniques such as the Autoregressive Integrated Moving Average (ARIMA) model. We applied the Seasonal ARIMA model to fit a univariate time series of scorpion sting incidence. This study revealed a significant seasonal trend and an overall increase and decrease in scorpion sting cases during the study period. The best-fitting model for the available data was a seasonal ARIMA model in the form of ARIMA (0,0,1) (1,1,1)12. This model can forecast the frequency of scorpion sting cases in Southwestern Iran over the next two years. As a result, Time series analysis can provide valuable insights into the patterns and trends of Scorpion sting incidents, allowing for better planning and allocation of healthcare resources. By understanding the seasonal variations, proactive measures can be implemented to address the growing issue of Scorpion stings in Iran effectively.

Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms

BackgroundPolypharmacy (PP) is increasingly common in Iran, and contributes to the substantial burden of drug-related morbidity, increasing the potential for drug interactions and potentially inappropriate medications. Machine learning algorithms (ML) can be employed as an alternative solution for the prediction of PP. Therefore, our study aimed to compare several ML algorithms to predict the PP using the health insurance claims data and choose the best-performing algorithm as a predictive tool for decision-making.MethodsThis population-based cross-sectional study was performed between April 2021 and March 2022. After feature selection, information about 550 thousand patients were obtained from National Center for Health Insurance Research (NCHIR). Afterwards, several ML algorithms were trained to predict PP. Finally, to assess the models’ performance, the metrics derived from the confusion matrix were calculated.ResultsThe study sample comprised 554 133 adults with a median (IQR) age of 51 years (40 – 62) that nested in 27 cities within the Khuzestan province of Iran. Most of the patients were female (62.5%), married (63.5%), and employed (83.2%) during the last year. The prevalence of PP in all populations was about 36.0%. After performing the feature selection, out of 23 features, the number of prescriptions, Insurance coverage for prescription drugs, and hypertension were found as the top three predictors. Experimental results showed that Random Forest (RF) performed better than other ML algorithms with recall, specificity, accuracy, precision and F1-score of 63.92%, 89.92%, 79.99%, 63.92% and 63.92% respectively.ConclusionIt was found that ML provides a reasonable level of accuracy in predicting polypharmacy. Therefore, the prediction models based on ML, especially the RF algorithm, performed better than other methods for predicting PP in Iranian people in terms of the performance criteria.

Study of the Relationship betweenABO Blood Group Typesand Breast Cancer and Cervix Cancerin Khuzestan Province, Iran.

Background:Breast cancer and cervix cancer are the prevalent and deadly types of solid tumors around the world. According to the importance of cancer, it is necessary to understand predisposing factors that affect cancer risk. In this regard, previous studies suggest that blood types particularly ABO and Rh-Hr Blood-Group System could play roles in the risk and different features of cancers. In the present study, we aimed to evaluate the potential of ABO and Rh blood groups as risk factors for breast cancer and cervix cancer. Materials and Methods:A retrospective study included 109 and 14 patients diagnosed with breast cancer and cervix cancer, respectively with known ABO and Rh blood types, between 2018 and 2020 in Khuzestan province, Iran. For compression of ABO blood groups distribution between the cancer patients group and the healthy population, we used data from a large-scale study that report the distribution of ABO blood groups in 29,922 blood donors in Khuzestan province. Results:Based on obtained results the most frequent blood group is O followed by B, A, and AB in breast cancer and followed by A, B, and AB in cervix cancer. Results showed no significant association between ABO and Rh and the risk of breast and cervix cancer. Moreover, there is no relationship between blood types and clinic pathological features of breast cancer. Conclusion: Based on our data, ABO and in this regard, previous studies suggest that blood types particularly ABO and Rh-Hr Blood-Group System could play roles in the risk and different features of cancers. In the present study, we aimed to evaluate the potential of ABO and Rh blood groups as risk factors for breast cancer and cervix cancer do have not any association with the risk of breast and cervix cancer and their characteristics.

Land Suitability Assessment of Shahid Rajaei Plain in Khuzestan Province for Different Irrigation Methods Using Parametric Evaluation System

Land Suitability Assessment of Shahid Rajaei Plain in Khuzestan Province for Different Irrigation Methods Using Parametric Evaluation System

Spatiotemporal variations of 2,4-dichlorophenoxy acetic acid with the role of sugarcane industry and related human health risk assessments in the Shadegan International Wetland.

2,4-Dichlorophenoxyacetic acid (2,4-D) is the most important pesticidewidely usedin Khuzestan province. This study aimed to determine the ecological risks assessment in fish, plant tissues, and trends in 2,4-D urinary biomarker concentration in humans of Shadegan International wetland, Iran. Sampling was carried out from three areas: freshwater, saltwater, and brackish water. The average concentration of 2,4-D at point 38, taken from the wetland's northern parts, was 15.73µg/L. In the lower regions, it reached 326µg/L at point 25. From points 37 to 16, it was higher than the international standard. The increasing trend of 2,4-D concentration was observed from point 36 to the middle of the wetland. The non-carcinogenic risk through ingestion and skin contact for children and adults was 3E-3 and 1.5E-2, 2.1E-3, and 8.6E-5, respectively, and through fish, consumption was 7.1E-4 for both groups. HI values were below one (< 1), indicating no health risk. HQ values in the summer were more than one (> 1), indicating the high risk to aquatic organisms and human health.

Healthcare reform and productivity of Hospital: a DEA-based analysis from South West of Iran

BackgroundDifferent healthcare reforms could affect the productivity of hospitals. The aim of this study was to track hospital productivity before and after the recent Iranian healthcare reform in Khuzestan province, South West of Iran.MethodsHospital productivity was evaluated through data envelopment analysis (DEA) and Malmquist productivity index (MPI) from 2011 to 2015 for 17 Iranian public hospitals before and after the health sector transformation plan. We assumed an output-oriented model with variable returns to scale (VRS) to estimate the productivity and efficiency of each hospital. The DEAP V.2.1 software was used for data analysis.ResultsAfter the transformation plan, the averages of technical efficiency, managerial efficiency and scale efficiency in the studied hospitals had negative changes, but technology efficiency had positive changes.44.4% of general hospitals, 25% of multi-specialized hospitals, and 100% of specialized hospitals had positive productivity changes after implementing the health sector evolution plan. The Malmquist productivity index (MPI) had low positive changes from 2013 to 2016 (MPI = 0.13 out of 1) but the mean productivity score had no change after the health sector evolution plan.ConclusionsThe total productivity before and after the health sector evolution plan had no change in Khuzestan province. This and the increase in the utilization of impatient services seemed to be a sign of good performance. But apart from technology efficiency, other efficiency indices had negative changes. It is suggested that in health reforms in Iran, more attention should be paid to the allocation of resources in the hospital.

Determining the effect of selected mental factors on turnover intention through two modulators - stress and resilience over COVID-19 period

IntroductionTurnover intention among nurses has risen in an alarming rate since the onset of the pandemic. There are various underlying factors to turnover intention. The present study aims to determine the effect of a number of mental factors on nurses’ professional-turnover intention through two modulators of stress and resilience over COVID-19 period.MethodsThe current cross-sectional study was conducted at three hospitals in Khuzestan Province, southern Iran, during the winter of 2021. To collect the data, given the restrictions in place during COVID-19 period, the web link of electronic self-reported questionnaires (including general health, mental workload, work-family conflict, resilience, job stress, corona fear, and turnover intention) were sent to 350 nurses through e-mail and other social media (WhatsApp and Telegram). Accordingly, they were asked to complete the questionnaire during rest periods within two weeks. Totally, 300 people (85% participation) filled out the questionnaires. Finally, a model was constructed in the Amos software.ResultsThe results showed that the four independent parameters of decreasing general health, increasing mental workload, increasing WFCs and fear of COVID-19 can indirectly increase nurses’ turnover intention by increasing job stress. Among these variables, the highest indirect effect coefficient on turnover intention was related to the general health parameter (-0.141). The results also demonstrated a negative correlation between job stress and resilience, with lower resilience raising job stress and, consequently, increasing intention to quit the job.ConclusionMental factors affecting turnover intension were identified in this study through path analysis. Therefore, it is recommended that the required resilience-enhancing measures to be taken by hospitals and nursing administrations to reduce psychological pressures caused by mentioned variables with the aim of minimizing job-related stress and fostering nurse retention.

Shaping farmers’ beliefs, risk perception and adaptation response through Construct Level Theory in the southwest Iran

Due to the severe effects of climate change on the agricultural sector, urgent action is required on the part of farmers and is, indeed, critical to reducing climate change impacts. However, reports globally revealed farmers’ engagement in climate change adaptation is still insufficient, ambivalent, and inconsistent and farmers do not consider adaptation to be urgent. Researchers have argued that this issue is rooted in psychological biases beside other factors. Therefore, the aim of this study is to evaluate how psychological distance determines climate change beliefs, risk perception and adaptation strategies among Iranian farmers. A cross-sectional paper-based survey was conducted in the Dasht-e Azadegan county of Khuzestan province in southwest Iran. The study sample consisted of 250 farmers selected through a multi-stage random sampling process. An expert panel review and a pilot study were conducted to confirm convergent validity and reliability of the scales. The results confirm that all four dimensions of psychological distance influence water management adaptation strategies and non-farm activities. Moreover, all psychological dimensions, except the temporal dimension, affect adaptation in farming management. Thus, making climate change more proximal to decision makers could be a strategic way of encouraging individuals to take adaptive actions. This study emphasizes that concepts of psychological distance can be applied to help organizations (e.g., agriculture extension services) to understand farmers’ risk perceptions and responses to climate change impacts and improve risk communication to better engage farmers in climate action.

Serological Detection of SRMV, Bovine Viral Diarrhea Virus, BVDV and BEFV in Camels (Camelus dromedarius) in Southwest Iran

Background: Small ruminant morbillivirus (SRMV), bovine viral diarrhea virus (BVDV), bovine herpes virus-1 (BHV-1), and bovine ephemeral fever virus (BEFV) are among the most important viruses of farm animals. Objectives: This study aimed at the serological detection of SRMV, BVDV, BHV-1, and BEFV in the camel population of Khuzestan Province, located in southwest Iran. Methods: A total of 150 camel blood samples were randomly collected from free-ranging, seemingly healthy camels of both sexes and various ages in 8 different regions of Khuzestan Province, Iran. The sera were tested for SRMV, BVDV, BHV-1, and BEFV with serum neutralization test. Results: The seropositive samples for SRMV, BVDV, and BHV-1 were 1(0.67%), 7(4.67%), and 11(7.33%), respectively. There was no seroconversion against BEFV in the serum samples. Conclusion: The camel population of Khuzestan Province is subclinically infected with SRMV, BVDV, and BHV-1 and could play a significant role in the epizootiology of these viral diseases in this region, which is very important for the control and eradication programs.

The Oil Thief of Baghdad: Understanding Saddam's Motives for Invading Iran

This article argues that Iraqi president Saddam Husayn's primary motive for invading Iran in 1980 was to seize the oil of Khuzestan Province. I look at all the evidence, much of which was either overlooked in previous treatments of the subject or was unavailable: Iraq's military moves, Ba'th Party regime records, tapes of Saddam's conversations, declassified United States government documents, and interviews with Iraqi generals. Reasons previously offered, like the desire to spark a counterrevolution in Tehran or regain full control of the Shatt al-'Arab waterway, were secondary or tertiary considerations, though played up for propaganda purposes.

Which rice farming system is more environmentally friendly in Khuzestan province, Iran? A study based on emergy analysis

This research was conducted with the aim of (i) evaluating the sustainability of three rice production systems (DBS: dry bed seeding, TP: transplanting, and WBS: wet bed seeding) in Khuzestan province, Iran, (ii) introducing the most cost-effective and sustainable system, and (iii) providing solutions to increase the systems' sustainability and efficiency. In order to analyze the studied systems during the 2020–2021 growing season, several emergy-based and economic indicators were analyzed. The total emergy inputs supporting the systems are estimated to be 2.69E+16, 4.16E+16, and 3.17E+16 sej ha−1 yr−1 for DBS, TP, and WBS, respectively. The three studied farming systems were determined to be inefficient and unsustainable due to their reliance on purchased resources including labor, fossil fuel, and seed/transplant. According to the environmental loading ratio and modified environmental loading ratio indicators, the WBS and TP systems exerted less pressure on ecosystems and were more sustainable than the DBS system due to the greater quantity of purchased renewable flows (labor and seed/transplant). The results of the emergy renewability, emergy sustainability index, and modified emergy sustainability index indices indicated that the three investigated systems were not sustainable, indicating that high energy consumption in rice farming systems resulted in a significant environmental burden. The economic analysis of rice production systems revealed that the DBS system was economically superior due to its lower total production costs, especially labor costs, when compared with the other two systems. In light of the water scarcity crisis in Iran, the DBS method is recommended due mainly because of its ability to save 30–60% of irrigation water in the studied areas compared with the other two systems that have high water consumption. Due to the lower sustainability and greater environmental pressure of the DBS method compared with the two studied farming systems, it is also recommended to decrease the proportion of nonrenewable inputs (fossil fuel, chemical fertilizers, and herbicides) and increase the proportion of renewable inputs (organic fertilizer).

Two new species of Sciapus Zeller, 1842 (Diptera: Dolichopodidae) from Iran

Two new long-legged fly species, Sciapus basavandae sp. nov. and S. khuzestanicus sp. nov. from Sistan and Baluchestan and Khuzestan provinces of Iran are described and illustrated. The two new species appear to be very close to S. sylvaticus Becker, 1907, known from Algeria, differing from the latter in body size, mostly yellow antenna; wider face, abdomen partly yellow, bilobed surstylus, cercus with ventral projection. S. sylvaticus has black antenna, narrow face, entirely dark abdomen, simple and thick surstylus, cercus without ventral projection. A check list and key to 24 Sciapus species of Iran and neighbouring countries are compiled for the first time.

Reasons for Using Different Methods of Anesthesia in Cesarean Section in Selected Teaching Hospitals Located in Khuzestan Province

Reasons for Using Different Methods of Anesthesia in Cesarean Section in Selected Teaching Hospitals Located in Khuzestan Province