Spatial Asymmetric Two dimensional Continuous Abelian Sandpile Model

We insert some asymmetries in the continuous Abelian sandpile models, such as directedness and ellipticity. We analyze probability distribution of different heights and also find the field theory corresponding to the models. Also we find the fields associated with some height variables.Comment: 14 Pages, 11 Figure

Seizure episodes detection via smart medical sensing system

Cyber-physical systems (CPS) consist of seamless network of sensors and actuators integrated with physical processes related to human activities. The CPS exploits sensors and actuators to monitor and control different physical process that can affect the computations of the devices. This paper presents the monitoring of physical activities exploiting wireless devices as sensors used in medical cyber-physical systems. Patients undergoing epileptic seizures experience involuntary body movements such as jerking, muscle twitching, falling, and convulsions. The proposed method exploits S-Band sensing used in medical CPS that leverage wireless devices such as omni-directional antenna at the transmitter side, four-beam patch antenna at the receiver side, RF signal generator and vector signal analyzer that perform signal conditioning by providing amplitude and raw phase data. The method uses wireless monitoring and recording system for measurement and classification of a clinical condition (epileptic seizures) versus normal daily routine activities. The data acquired that are perturbations of the radio signal is analyzed as amplitude, phase information, and statistical models. Extracting the statistical features, we leverage various machine learning algorithms such as support vector machine, random forest, and K-nearest neighbor that classify the data to differentiate patient’s various activities such as press-ups, walking, sitting, squatting, and seizure episodes. The performance parameters used in three machine learning algorithms are accuracy, precision, recall, Cohen’s Kappa coefficient, and F-measure. The values obtained using five performance parameters provide the accuracy of more than 90%

Relationship between Maternal Parenting Style and Child's Aggressive Behavior

AbstractProblem Statement: Aggressive behavior is a problem in any society. Aggression is further defined as destructive, injurious, hostile and often caused by frustration. Knowing the factors that influence aggressive behavior as well as how aggression is expressed are vital to developing an understanding of it.Purpose of Study: The research purpose is to look into the relationship between maternal parenting styles and child's aggressive behavior.Research Methods: In a correlation study, 380 individuals who were selected using cluster sampling among from male & female high-school students of Tehran was tested with regard to the parenting styles and aggressive behaviors.Findings: Analyzing the acquired data demonstrated that mother's authoritarian parenting is positively correlated with adolescents’ aggression; however, authoritative parenting style is negatively correlated with adolescent's aggression. The results also revealed that mother's indulgent parenting is negatively correlated to adolescent's aggression.Conclusions: The results presented in this study was explored that maternal aggression is reversely correlated to child's aggression, results obtained on liberty was found to correlate negatively to aggressive behavior, It can be observed that mothers sometimes unconsciously teach their offspring to apply dictatorial and coercive strategies to achieve their goals. They may display some unnecessary behaviors such as criticizing and castigating and then exhibit avoidant behaviors to escape unpleasant situation. There is strong emerging evidence for the capacity of functional and well-adjusted families to successfully moderate various developmental threats and reduce the chances of maladjustment in children at risk

Relationship between Emotional Intelligence and Educational Achievement

AbstractProblem Statement: Achievement encompasses student ability and performance, it as the quality and quantity of a student's work, is multidimensional and strongly related to human cognitive, emotional, social, and physical development. In the beginning, psychologists focused on cognitive constructs but, researchers recognized that there are other non-cognitive aspects of intelligence such as emotional intelligence. In this study we want to see whether there is a relationship between emotional intelligence and academic achievement or not?Purpose of Study: The research purpose is to look into the relationship between emotional intelligence and academic achievement. we want to know whether we should incorporate emotional intelligence in school programs.Research Methods: In a correlation study, a sample of 100 individuals was selected using the opportunity or convenience sampling among the students of Islamic Azad University, Tehran South branch and were tested with emotional intelligence questionnaires (Bradberry & Greaves, 2003). Findings: Results indicated that there's no significant association between emotional intelligence and the students’ end-of-the-term and diploma degrees.Conclusions: In our research no significant relation was found between emotional intelligence (self-awareness, self-management, social awareness and relationship management) and academic achievement. Moreover, the strong relationship between diploma and university degrees was observed that indicates that academic success is significantly correlated to IQ and can be a reliable predictor of educational achievement. Our findings here do not prove any significant association between emotional intelligence and diploma and university degree and we conclude that it can’t be a reliable predictor of educational achievement

Glucokinase gene promoter -30G>A polymorphism: a cross-sectional association study with obesity, diabetes Mellitus, hyperlipidemia, hypertension and metabolic syndrome in an Iranian hospital

OBJECTIVE: A -30G>A single nucleotide polymorphism in the promoter region of the glucokinase gene has been previously associated with obesity, insulin resistance and diabetes. The present study aimed to evaluate the association of this polymorphism with obesity and its comorbidities in a population from Northeast Iran. METHODS: Five hundred and forty-two subjects aged 18 to 65 years were included in the study and divided into normal (BMI<25, n=220), overweight (25<BMI<30, n=135) and obese (BMI>30, n=187) groups. All subjects were genotyped for the -30G>A polymorphism using the polymerase chain reaction-restriction fragment length polymorphism technique. RESULTS: The genotypes and allele frequencies of the three groups did not differ significantly (p>0.05). When the study population was categorized according to diabetes mellitus, hyperlipidemia, hypertension and metabolic syndrome status, no significant difference in -30G>A genotypes and alleles was found between the subgroups with and without these disorders (p>0.05), apart from a significantly higher frequency of the G allele in the hyperlipidemic vs. non-hyperlipidemic subgroup (p<0.05). CONCLUSION: The findings of the present study do not support an association between the -30G>A polymorphism and high body mass index in the Iranian population