There is strong evidence that high anxious individuals selectively attend to threatening information. But the results of attentional bias in trait and state anxiety is inconsistent in this filed.In this article, the authors were aimed to investigate the attentional bias in state and trait anxiety. In a causal- comparative research, 120 male and female students were selected randomly from Ferdowsi University. Instruments involving, State and Trait Anxiety Inventory (STAI) and Dot- Probe Test, were administered on the participants. The data of 76 (76.1% female) participants which determined as high and low trait and state anxious individuals were analyzed. The results of ANCOVA analysis showed that main effect of trait anxiety was significant (F (1,75)=8.174, p≤0.01, d=0.68), But there is no significant interaction between trait and state anxiety in interference scores in Dot-probe test. High trait anxious individuals selectively has Oriented Attention toward the threatening information. Attentional bias toward to threatening sources is correlated threatening information that is the component of hypervigilance in these persons.

Probe interval graphs are used as a generalization of interval graphs in physical mapping and sequencing of DNA. In this article has been shown that probe interval graphs are weakly triangulated and consequently are perfect. Furthermore, probe interval graphs have been determined according to consecutive order of their intrinsic cliques.

Theory and experiment of a spherical probe-fed conformal antenna with a parasitic element mounted on a spherical multilayer structure are presented in this paper. Rigorous mathematical Method of Moments (MoMs) for analyzing various radiating spherical structures is presented in this paper by using Dyadic Green's Functions (DGFs) in conjunction with Mixed Potential Integral Equation (MPIE) formulation. Linear Rao-Wilton-Glisson (RWG) triangular basis functions are applied in MPIE formulation. Current distributions on coaxial probe and conformal radiating elements are computed by using spatial domain Dyadic Green's Function (DGF) and its asymptotic approximation. A prototype of such an antenna is fabricated and tested. The effect of the parasitic element on the input impedance and radiation patterns of the antenna is investigated. It is shown that the antenna characteristics are improved significantly with the presence of the conducting parasitic element. Good agreement is achieved between the results obtained from the proposed methods and the measurement results.

Introduction: Aerosols are solid or liquid particles in the air with a typical radius of 0. 001 to 100 μ m, which have a significant and harmful effect on human health. Aerosols come from both natural and human sources, and in recent years, human activities associated with urbanization and industrialization have led to a steady increase in the amount of these particles in the airborne state. The study of the precise variability of the AI index in the long run can provide useful information on aggregates, their origin, spatial temporal variation, climate induction and its feedback in the climate system. This study the purpose of the seasonal evaluation of the Aerosol Absorption Index (AAI) was based on TOMS and OMI sensor data in Iran. Materials and methods: In this study, TOMS data from two Nimbus 7 satellites (1992-1979) and Earth Probe (1996-2005) and OMI (2015-2005) satellite EOS Aura The non-parametric Mann-Kendall test was used to identify the Aerosol Index trend. Results and discussion: Significant reduction in the trend The TOMS Satellite (EP) Earth Probe's Aerosol Index (AI) is far from waiting for dusty days and Aura satellite data. TOMS sensor data is not recommended for decomposition of the EP, because since 2001, due to the lack of proper calibration of this sensor, data from this sensor and the satellite provide irrational figures; The results have shown that TOMS sensor data is not suitable for the study of the EP, since since 2001, the data of this meter is not calibrated. The maximum incremental increase of the Aerosol index (AI) for OMI and the maximum decreasing trend of the Aerosol index (AI) for the winter (TOMS satellite satellite EP) was calculated in autumn (TOMS sensor of two Nimbus7 and EP satellites). In spring, the soil moisture content decreased and the activation of dust springs decreased relative to the winter season from areas with decreasing trend and increased areas with increasing trend. In summer, areas with an increasing trend based on Nimbus7 satellite (100%) and Aura (96. 74%) of the total pixels are covered. Maximum incremental rate and also the maximum average value of the Aerosol index (AI) trend are obtained based on the OMI Satellite Aura sensor in the fall season. The increase in the Aerosol Index (AI) in Iran is due to environmental and climatic conditions. The summer Shamal wind, the dynamic and thermal patterns of West Asia, and the Indus Low Pressure, have the greatest role in increasing the hygiene of Iran. Conclusion: The maximum trend in the general trend of the AI indicator in Iran in winter is the TOMS satellite Earth Probe satellite in the northeast and central parts, which, as said, is due to the lack of calibration of the sensor and the satellite. The maximum incremental trend of the Iranian Aerosol Index (AI) for the OMI and the maximum decrease of the Aerosol Index (AI) was calculated for the fall (Numbus7 Satellite TOMS Sensor). The average trend of Iran's AI index for winter is not significant for any of the two sensors and three satellites. In the spring, the intensity and percentage increase was increased relative to the winter season. The growing trend in most parts of Iran is associated with dusty events originating from dry and desert lands of southwestern Iran, especially in Iraq. In the summer, Nimbus7 and Aura satellite data showed more than 95% of the country's total traffic. Zones with increasing trend of TOMS sensor Nimbus7 satellites are seen in all metropolis of Iran with 500, 000 to 1 million and more than one million people, and no negative trend was calculated in any cities. In the autumn, we see the maximum percentage and the intensity of the significant increase of the Aerosol Index (AI based on the OMI satellite satellite Aura in the country. This trend can be correlated with decreasing precipitation and the inhibition of the following particles in the airborne atmosphere due to reduced moisture content. The increase in the trend of Huawei index in Iran is due to environmental conditions such as land use, soil moisture, drought and. . . The role of HomoSperm regional circulation systems such as Caspian Sea– Hindu Kush Index (CasHKI), negative phase of Pacific Decadal Oscillation (PDO)) with fluctuations, Shamal winds, short-term phenomena such as frontal systems, low-level jets (LLJs), and low pressure of the document on the transit of these particles are significant.

Due to the importance of this red tide phenomenon and its effect on the habitats of marine life, the study of this phenomenon in the Persian Gulf and the Sea of Oman is necessary. This research is written only with a physical view and the study of other aspects is the responsibility of experts in the relevant fields. There are various methods to study this phenomenon, including field studies, satellite studies and numerical modeling. In this research, one-dimensional PROBE software has been used for different stations in the Oman Sea, the Strait of Hormuz and the Persian Gulf. The input data of the model include meteorological synoptic data: air temperature, u and v components of wind speed, cloudiness and relative humidity of Qeshm station in February 2008. Studies show that the modeling results of temperature, salinity, phosphate and nitrate are almost consistent with the measurement data. In stations located in the Persian Gulf and the Sea of Oman, in places where the amount of temperature, salinity and nutrients is maximum, the concentration of plankton, which depends on these parameters, also reaches its maximum. As predicted, the amount of green-blue plankton concentration is higher than (only) nitrate and phosphate dependent plankton concentration.