A B S T R A C T Temperature is one of the climate elements that has fluctuated a lot over time. When these fluctuations increase and decrease more than normal and are placed in the upper and lower regions of the statistical distribution, if continued, it can lead to the creation of heating and cooling waves. The purpose of this study is to analyze the temporal and spatial changes in heating and cooling waves in Iran during a period of 50 years. For this purpose, the temperature of 663 synoptic stations from 1962 to 2004 was obtained from the Esfazari database. Then, in order to complete this database, the daily temperature from 2004 to 2011 was obtained from the Meteorological Organization of the country and added to the aforementioned database. In order to perform calculations and draw maps, Matlab, grads and Surfer software have been used. The results of this study showed that the index of cooling waves and heating waves, while having a direct effect on each other, had an increasing trend in most of the area of Iran. The statistical distribution of the index of cooling waves is more heterogeneous than that of the index of heating waves. So that the spatial variation coefficient for cold waves is 84.22%. Also, the index of cooling waves has more spatial variability. The highest common diffraction of the index of heating and cooling waves has been seen in the northwest, east and along the Zagros mountains. Analysis of the indexes trends show that heat waves have intensified in 65.8% of Iran and the intensity of cold waves has decreased in 48.5% of Iran Extended Abstract Introduction Temperature is one of the major climatic variables, which it has a direct impact on different aspects of human life. It plays an essential role in the growth of crops and is considered a key driver of the biological system(Reicosky et al, 1988). It is associated with several types of extremes, for example, heat and cold waves which caused human societies maximum damage. Past occurrences of heat waves hitherto had significant impacts on several aspects of society. Have increased Mortality and morbidity. Ecosystems can be affected, as well as increased pressure on infrastructures that support society, such as water, transportation, and energy(Dewce, 2016). The long-term change of extreme temperatures has a key role in climatic change. The form of statistical distribution and the variability of mean values and also extreme event indicate a change in the region. It can be a small relative change in the mean as a result of a large change in the probability of extreme occurrence. Also, the variation in temperature data variance is significantly more important than the mean, for assessing the extreme occurrence of climate(Toreti and Desiato, 2008). The average surface temperature has increased the world between 0.56 and 0.92 ° C over the past 100 years(IPCC, 2007). Meanwhile, it was in the Middle East, the average daily temperature increased by 0.4-0.5 ° C in decades(Kostopoulou et al, 2014; Tanarhte et al, 2012). Considering that not many studies have been done in the field of spatio-temporal Variations of the heating and cooling waves thresholds in Iran, in this study, the spatio-temporal Variations of the heating and cooling waves thresholds in Iran during 50 years were examined and analyzed.   Methodology The daily temperature from the beginning of the year 21/03/1967 to 19/05/2005 was obtained from the Esfazari database prepared by Dr. Masoudian at the University of Isfahan. In order to increase the time resolution of the mentioned database, the daily temperature of observations from 05/21/2005 to 05/12/2012 has been added to the mentioned database using the same method, and the exact spatial resolution (15 x 15 km) is used as a database. Threshold indices of heating waves are the average Numbers between the 95th and 99th percentiles, that is, the extreme hot threshold to the limit of excessively extreme hot. For extreme cool, from the 5th percentile down to zero is used. Of course, a condition was added to these thresholds, which is that these thresholds must be repeated two days in a row. These thresholds were extracted for each day in the 50 years of the study period and used as the original database. In order to analyze the relationship between cooling and heating waves, Pearson's correlation coefficient was used and regression was used to analyze the trend.   Results and discussion The average of cold waves was 5.26 ° C and for the heat waves is 30.20° C. Generally, if the temperature is upper or lower than this threshold, it is considered as hot or cold temperatures. A comparison of the median, mode, and average of cold waves with heat waves shows that the distribution is more heterogeneous for cold waves and its CV is 84.22%. In southern Iran, the average threshold heat waves are higher. This situation can be caused by the effects of subtropical high-pressure radiation, low latitude, and proximity to the sea. Though the threshold is higher in these areas, fewer fluctuations and changes are seen in the area. Heights moderate the temperature so they pose a minimum threshold for heat waves i.e. an iso-threshold of 25 ° C is consistent along the Zagros mountain chains, but in the west and east of Zagros Mountains, the threshold of heat waves is increased. Heat waves have increased in most areas of the country. So nearly 85 percent of the Iran has been an increasing trend, of which 65.8 percent is statistically significant at the 95% confidence level. Still, more areas of the country (60 percent) have a trend between 0.00828 and 0.00161. As can be seen, only 15% of the land area (including the southwest and northwest of the Country) had decreased heat waves. Cold waves, in most parts of the country, have a Positive Trend. However, about 25 percent of the study area's cold waves have a negative trend. they are located in areas higher than Latitude 30°. The largest decline of the wave's trend along the country is highlands. Nowadays, most of the country, has a trend between 0.01494 and 0.00828 ° C, respectively. Conclusion Common changes and effects of heat and cold waves had a direct relationship in many parts of the country. It is remarkable common variance in the East reached 55 percent, according to statistical significance. In some areas of the northwest and southwest, which have been impressive heights, the common variance is 40 percent. This common variance in mountains area has been high values. Investigation of heat waves trend shows that 65.8% of Iran significant positive trend and 7.1% significant negative trend. Also, the cold waves trend has indicated a 48.5% significant positive trend and a 10.8% significant negative trend. Climate change and global warming have changed the frequency and severity of temperature extremes. The present study, by examining the Number of warm waves, concluded that the warm waves have increased in magnitude in 65.8% of the Iran zone. Also, the study of the cold waves trend showed that 48.5 percent of Iran had a positive trend, which means that the amount of temperature in the cold waves increased In other words, the severity of the cold has been reduced And only 10.8 percent of Iran had a negative cold wave trend And it shows the intensity of these waves is reduced.   Funding There is no funding support.   Authors’ Contribution The authors contributed equally to the conceptualization and writing of the article. All of the authors approthe contenttent of the manuscript and agreed on all aspects of the work declaration of competing interest none.   Conflict of Interest The authors declared no conflict of interest.   Acknowledgments  We are grateful to all the scientific consultants of this paper.

Introduction: Pathological Q waves in an electrocardiogram (ECG) are robust prognostic markers in patients with ST-segment elevation myocardial infarction (STEMI), a leading global cause of death. Accurately identifying high-risk patients with STEMI is essential to provide tailored management, thereby improving patient outcomes. Thus, this study aims to evaluate the relationship between the Number of leads with pathological Q wave in the first ECG and left ventricular ejection fraction (LVEF) before discharge. Methods: This retrospective study reviewed the records of 152 STEMI patients meeting inclusion criteria at Taleghani Hospital from April 2014 to August 2018. The initial ECGs, angiography, and echocardiography data were extracted, read by cardiologists, and prepared for analysis. Results: The majority of patients (87. 5%) were males, and 69. 7% had a pathological Q wave at the first ECG. The median of LVEF was significantly lower in patients with a pathological Q wave than in patients without a pathological Q wave (45 versus 50, p-value < 0. 001). In addition, there was a mild negative correlation between the Number of pathological Q waves and LVEF (r =-0. 318, p-value < 0. 001). Conclusions: This study reveals the presence of a mild negative linear relationship between LVEF and the Number of pathological Q waves in STEMI patients.

Introduction: Copy Number variation (CNV) consist of deletion, insertion, and duplications. It is an important source of genetic variation in organisms and thus influences on the gene expression and phenotypic variation. Copy Number variation (CNV) is one of the structural variant with an intermediate size class larger than 50bp which involves unbalanced rearrangements that increase or decrease the amount of DNA (Pirooznia et al 2015, Alkan et al 2011). The size of CNVs is larger than 50bp, while smaller segments are known as insertions or deletions (indels). Thereupon these structural variations comprise more polymorphic than SNPs because of enormity, detection of them and their effect on phenotype has caught the attention of many researchers recently. It has been reported that CNVs changes in gene dosage and regulation as well as in transcript structure, and thus contribute to phenotypic variability (Pirooznia et al 2015, Alkan et al 2011). The pea-comb phenotype is caused by a CNV mapping to intron 1 of the SRY (sex determining region Y)-box 5 (SOX5) gene (Wright et al. 2009). Late feathering in chickens is due to incomplete duplication in PRLR and SPEF2 genes (Elfrink et al. 2008). In swine, dominant white colour has been related with a duplication of a 450-kb fragment of the KIT gene (Giuffra et al. 1999) and a splice mutation causing the skipping of exon 17 (Giuffra et al. 1999). In sheep, doubling in the ASIP gene results in the regulation of pigment in body coat (Norris et al. 2008). Doubling the 4.6 k base pair into the six introns of the STX17 gene results in a gray body color in the horse with age. Deletion of the intergenic region with a length of 11.7 kbp in the goat genome leads to the removal of horns (Clop et al. 2012). Chicken is the most intensively farmed animal on earth and is a major food source with billions of birds used in meat and egg production each year. A big share of chicken CNVs involves protein coding or regulatory sequences. A comprehensive study of chicken CNV can provide valuable information on genetic diversity and assist future analyses of associations between CNV and economically important traits in chickens. Unique chicken genome with macro and micro chromosomes and its biology make it an ideal organism for studies in development and evolution, as well as applications in agriculture and medicine (Burt 2005). In the last several years, There has been an increasing interest in the study of CNVs in the chicken. This study focuses on comparison of CNV between the broilers and layers chicken to find evidence of domestication on the genome using whole genome sequencing.Material and methods: we used n=90 female birds of two commercial broiler (n=40) and layer (n=50) chicken. The broilers (BRs) were represented by 20 DNA samples of each of two lines (BRA and BRB) established independently and previously collected as part of the AVIANDIV project. In the layer group (LRs), data from 25 birds each from purebred white (WL) and brown (BL) egg laying populations, sequenced in the frame of the SYNBREED project (http://www.synbreed.tum.de/index.php?id=2 ,(were included. The paired-end reads with a read length of 101bp were mapped against the current reference genome assembly Galgal6 using the Burrows-Wheeler aligner (bwa, 0.6.2-r126 Version, with default parameters. Duplicate reads were masked during post-processing using the Picard tool set (version 2.9.2, http://picard.sourceforge.net). Finally, Genome Analysis Toolkit-3.3.0 was used to realign reads for correcting errors caused by InDels. Using GATK software package and Depth Of Coverage function (McKenna et al 2010), the depth of readings was calculated for each sample. Then filter out reads with mapping quality below 20. Because comparing the genomes of individuals in different groups was time consuming and computationally difficult for all parts of the genome, the genomes of each individual were divided into 1000 bp non-overlapping windows and the average reading depth per window was calculated. Then the results were normalized against the BL sample that showed highest average depth. In short, we created a correction factor per population and applied it on the depth of coverage value for each window. For all the contrasts, we performed an analysis of variance (ANOVA) as described (Carneiro et al 2014). For the Broilers-Layers contrast we scanned 935247 windows. 70372 windows showed significant by FDR with P < 0.001, with ANOVA using the Benjamini-Hochberg FDR method for multiple corrections (Benjamini and Hochberg 1995).Results and discussion: Mapping sequencing data to galGal6 assembly showed an average 98.61% mapping rate and 11.51 depth. Manhattan plot was plotted for regions of the genome that differed significantly between the two groups (FDR = 0.001). The points above the hypothetical line were identified and examined in a 25 Kbp confidence interval to identify possible genes. 39 regions were identified that half of them dose not contain any genes. Although Long noncoding RNAs are under lower selective pressure than protein-coding genes (Batista and Chang 2013), The other 11 regions contained 16 genes related to long non-coding RNAs. Long noncoding RNAs (lncRNAs) play a critical role in organizing the 3-dimensional genome architecture and regulating gene activity in cis or in trans through multiple mechanisms (Zhang et al 2019, Batista and Chang 2013). 6 othere regions also contained 12 coding genes. Most of the identified genes were somehow linked to the immune system disease or cancer. Genes such as DEDs and TNFAIP8 are involved in programmed cell death (apoptosis) and two genes NPAL3 and RCAN, which are involved in the immune system, had a copy Number variation in the studied samples. In addition RCAN is involved in Down syndrome. The PFDN gene, located on chromosome 25, is also involved in Alzheimer's and Parkinson's disease.

Introduction: One of the causes of error and perturbation in isodose curves in conventional radiotherapy treatment planning is the existence of tissues having either very high density (bone, prosthesis) or very low density (lung, air cavities). Nowadays, the use of CT images to solve this problem is growing, and so is the need for calibration curves that convert the CT-Number of the tissue to electron density for dose calculation. The conventional method to obtain this curve is purely measurement-based, in which a phantom containing various materials of known electron densities is imaged. Alternatively, a more fundamental method of stoichiometry has been used in this work.Material and Methods: For the stoichiometric method, initially a cylindrical polyethylene phantom was built. The phantom consists of inserts of high-purity aluminum, PVC, polyethylene, water and cork to model hard bone, skeleton, fat, muscle and lung tissues, respectively. CT imaging was then performed at 120 kVp using a spiral CT scanner (GE model NXI). A system of simultaneous equations was solved to get the appropriate CT-Number to electron-density conversion for each tissue type using the CT-Numbers from the phantom images, the physical and radiological data of the materials. A conversion curve showing the variation of CT-Number with relative electron density was also plotted. The result of the stoichiometric conversion was then compared to that from other methods.Results: The system of simultaneous equations yielded the factors, the experimental and the computed CT-Numbers were compared. The highest uncertainty was estimated to be approximately 5.6% for a relatively high-density material such as aluminum and 4% for polyethylene. The curves representing the electron density based on CT-Number start diverging at CT-Number equal to zero and above.Discussion and Conclusion: Comparing the results obtained from the experimental and computational methods suggest an acceptable level of accuracy for the computational (stoichiometric) conversion. The uncertainty in the electron density obtained is greater for materials of higher electron density.

The effect of Number of mating on longevity and fecundity of the predatory mite Euseius scutalis Athias-henriot was studied under laboratory conditions (at 25±1 ºC, 60 ± 5 % RH and 16: 8 L:D). Newly emerged adult females (less than 24 h) were held individually in a 9 cm arena. A male (less than 24 h) remained with a female for limited periods of time or continuously. Four treatments were designed: virgin females, single mated females, multiple mated females (female had access to a male every five days), multiple mated females (female had continuous access to a male). Mating was necessary for oviposition. Virgin females lived the longest (25 days). However, no significant differences were found among longevity of mated females (12- 15). Similarly, no significant differences were detected among fecundity of females with different Numbers of mating (18- 22 eggs). Sex ratio was significantly female-biased in progeny of single mated females and multiple mated females with periodic access to male. However, no significant difference was found in sex ratio of progeny of multiple mated females with continuous access to male.

By passing water flow through obstacles (trees in rivers, piers of bridge and any hydraulic structure), vortex flows emerge at the downstream of them and by overlapping of these emerged vortexes, shallow waves with propagation direction perpendicular to the water flow direction are formed. In this study the impact of obstacles on the formation of transverse waves has been studied. For this purpose, cylindrical and triangular obstacles were used. For the triangular obstacle, two states of collision in corner and side of it were considered. Discharges of 5, 15 and 25 L s-1 and placement of barriers in parallel position with the arrangement of 60×60, 60×120, 120×120, 180×180 (mm×mm), were considered. Totally, 36 series of experiments were carried out. The results showed that the barrier had much impact on the formation of transverse waves. The maximum amount of relative amplitude (A/H) (A: The maximum wave amplitude, H: depth of flow) for the cylindrical obstacles with 60×120 (mm×mm) arrangement in the flow rate of 5 L s-1 and the minimum amount of it for the triangular obstacles with flow hitting its corner and the flow rate of 15 L s-1 at the arrangement of 60×120 (mm×mm) were achieved with the values of 61.1% and 3.46% , respectively. Also, in order to estimate the Strouhal Number as a function of P/D, T/D and N (P: distance between obstacles, D: diameter of obstacles and N: Number of obstacles in each row) for desired shape, some relationships were developed using SPSS software.

In many cases the collection of obstacles stand against water flow direction and by passing water through these obstacles, vortexes are created in downstream of them and by overlapping of these vortexes, surface waves perpendicular to the flow direction are formed. In this study the impact of obstacle shape on the characteristics of transverse waves are investigated. For this purpose, cylindrical obstacle and cubic obstacle are used. Discharges 5, 15 and 25 l/s and insertion of obstacles in parallel with ordering of 60´60, 60´120, 120´120 and 180´180 are considered. Totally 36 experiments were performed. The results showed that the shape of obstacles has high impact on the formation of transverse waves. The maximum amount of relative amplitude (A H) (A: The maximum wave amplitude, H: depth of flow) was occurred for cylindrical obstacle with amount of 61.10% in arrangement of obstacles of 60´120 and discharge equal to 5 l/s and the minimum value of A H was occurred for cubic obstacle for side current collision with amount of 6.00% in arrangement of obstacles of 180´180 and discharge equal to 25 l/s. Equations for estimating of Strouhal Number were presented, using SPSS software developed. According to presented equations, Strouhal Number has direct comparison with P D (P: Distance between obstacles, D: Diameter of obstacles) in cylindrical obstacles and has inverse comparison in two situations of cubic obstacles.

In this research, Daikon mass transfer profile was investigated by ultrasound-osmotic non-thermal method. Daikon slices were soaked into osmotic solution at three concentration levels of manitol (5, 10 and 15%) and constant concentration of sucrose (35%) at 25oC. The results showed that water loss increased during the time when the level of osmotic concentration was increasing. Also, water loss values were 42.75 and 36.75 g/g dry solid for non-ultrasound-osmotic and ultrasound-osmotic sample at 5%manitol concentrations, respectively. The results indicated that the effect submerge time and ultrasound wave had a positive effect on F°s of daikon sample during mass transfer process (a=1%).