Islamic Azad University North Tehran Branch

About: Islamic Azad University North Tehran Branch is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Adsorption & Catalysis. The organization has 868 authors who have published 968 publications receiving 9987 citations.

Modeling Thermohaline Front of the Persian Gulf Outflow in the Oman Sea

Abstract: A three dimensional numerical model namely ROMS (Regional Ocean Modeling System) and observational data are used to study the thermohaline front of Persian Gulf Outflow in the Oman Sea. The simulation results show the formation of a thermohaline front at 80m depth in the direction of the north-east-southwest at the mouth of the Oman Sea. The seasonal thermohaline front variability was also identified, during winter a heat and salty tongue stretches from the Strait of Hormuz to the continental shelf along the south Oman coast. During summer, it shows a current departing from the coast moving forward to the middle of the Oman Sea. Thermohaline front is observed throughout the year, in summer as unified and patchy in winter. Intrusion of warm and salty water of Persian Gulf into the Gulf of Oman displays a local increase in salinity in the middle layers in 150-450m and 100-400m depths in winter and summer respectively which expresses two boundaries in the upper and lower layers. Diffusive convection and salt fingering can be seen in both the upper and lower boundaries respectively. The complex ocean flow patterns are result of monsoons in the Oman sea area. During the winter monsoon, a single cyclonic gyre is often observed near 58◦E and during the Southwest monsoon in summer, a dipolar eddy near Ras al Hamra and an anticyclone’s gyre in 25°N are detected.

A study on relationship between abnormal accruals and future profitability: Evidence from Tehran Stock Exchange

Abstract: This paper presents an empirical investigation to study the relationship between future profitability and abnormal accruals on selected firms from Tehran Stock Exchange (TSE). The study selects 223 firms from TSE market over the period 2007-2011. Using the regression analysis, the study shows there was no meaningful relationship between abnormal earnings and future profitability when the level of significance is five percent. There are also seven subhypotheses associated with the proposed study of this paper. The results indicate that while there were no meaningful relationship between firm size, capital expenditure, earnings quality and earning forecasted error on one side and future earnings, the study confirms a significance relationship between ratio of book value to equity as well as market leverage and future earnings.

Regular character-graphs whose eigenvalues are greater than or equal to -2

Abstract: Let $G$ be a finite group and $\mathrm{Irr}(G)$ be the set of all complex irreducible characters of $G$. The character-graph $\Delta(G)$ associated to $G$, is a graph whose vertex set is the set of primes which divide the degrees of some characters in $\mathrm{Irr}(G)$ and two distinct primes $p$ and $q$ are adjacent in $\Delta(G)$ if the product $pq$ divides $\chi(1)$, for some $\chi\in\mathrm{Irr}(G)$. Tong-viet posed the conjecture that if $\Delta(G)$ is $k$-regular for some integer $k\geqslant 2$, then $\Delta(G)$ is either a complete graph or a cocktail party graph. In this paper, we show that his conjecture is true for all regular character-graphs whose eigenvalues are in the interval $[-2, \infty )$.

Challenges in Brain Magnetic Resonance Image Segmentation

Abstract: Over the past several decades, the application of magnetic resonance imaging (MRI) has been rapidly expanding in the areas of brain research studies and clinical diagnosis. One of the most important steps in brain MRI data preparation is the removal of unwanted brain regions, which is followed by segmentation of the brain into three main regions – white matter (WM), grey matter (GM) and cerebrospinal fluid (CSF) – or into subregions. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain’s anatomical structures, analyzing brain changes, delineating pathological regions, and surgical planning and image-guided interventions. Brain segmentation allows clinicians and researchers to concentrate on a specific region in the brain in their analyses. However, brain segmentation is a difficult task due to high similarities and correlations of image intensity among brain regions. In this review, image segmentation algorithms used for dividing the brain into different sectors were discussed in detail. The potential for using the fuzzy c-means (FCM) unsupervised clustering algorithm and certain hybrid (combined) methods to segment brain MR images was demonstrated. Additionally, certain validation techniques that are required to demonstrate the performance of segmentation methods in terms of accuracy rates were described.

Relationships Between Academic Achievement with Personality Traits and Early Maladaptive Schemas with Self-Determination Mediation in Students

Abstract: Relationships between Academic Achievement with Personality Traits and Early Maladaptive Schemas with Self-Determination Mediation in Students Zahra Mohtashami1−, Hojjatollah Moradi, Fereshteh Afkari, Hossein Bigdeli 1. PhD student in Educational Psychology, Islamic Azad University, North Tehran Branch, Tehran, Iran. 2. Assistant Professor, Department of Psychology, University of Imam Hussein, Tehran, Iran. 3. Member of the faculty of the Department of Educational Sciences, Islamic Azad University, North Tehran Branch, Iran. 4. Assistant Professor, Department of Psychology, Islamic Azad University, East Tehran Branch, Iran.