Two prevalent neurodevelopment disorders in children are attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). The fifth version of the Diagnostic and Statistical Manual of Mental Disorders describes autism as a condition marked by limitations in social communication as well as restricted, repetitive behavior patterns. While impulsivity, hyperactivity, and lack of concentration are signs of attention deficit hyperactivity disorder. Boys experience it more frequently than girls do. This study sought for possible factors that put children at risk for autism and attention deficit hyperactivity disorder, and it investigated the association between neurodevelopment disorders in children and parental risk factor in Iraqi population. This was a cross sectional, comparative study applied in The National Center for Autism/Medical City Complex from January to April 2022.In which120 child withneuro development disorders and 120 controls participated. The data collected from the questionnaires was analyzed using SPSS 25. Independent T-test and Chi-Square test were carried out for the bivariate analysis of the data. Among the tested variables four parent-related factors were significantly (P-value < 0.05) associated with neurodevelopment disorders in children: Family history of psychiatric illness, smoking of any parent, pregnancy and labor complications, used progesterone during pregnancy. In addition to these significant parent-related risk factors, paternal age at conception time were significantly (P-value < 0.05) associated with neurodevelopment disorders of children. Based on this case control study, mothers with pregnancy & labor complications, paternal age at conception, smoking of any parent,mothers used progesterone during pregnancy and family history of psychiatric illness, had higher risk of neurodevelopment disorders.
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to simulate values of the variable coefficients as random sampling instead being limited as real values with respect to time. The mean of the n final solutions via this integrated technique, named in short as mean Monte Carlo finite difference (MMCFD) method, represents the final solution of the system. This method is proposed for the first time to calculate the numerical solution obtained fo
... Show MoreThe current study presents the simulative study and evaluation of MANET mobility models over UDP traffic pattern to determine the effects of this traffic pattern on mobility models in MANET which is implemented in NS-2.35 according to various performance metri (Throughput, AED (Average End-2-end Delay), drop packets, NRL (Normalize Routing Load) and PDF (Packet Delivery Fraction)) with various parameters such as different velocities, different environment areas, different number of nodes, different traffic rates, different traffic sources, different pause times and different simulation times . A routing protocol.…was exploited AODV(Adhoc On demand Distance Vector) and RWP (Random Waypoint), GMM (Gauss Markov Model), RPGM (Refere
... Show MoreBackground: Although pain after laparoscopic cholecystectomy is less intense than after open Cholecystectomy, some patients still experience considerable discomfort, and use of local anaesthetics irrigation is controversial.
Objectives :to evaluate the effect of intraperitoneal and port site instillation of local anaesthetics on pain relief in the first 6 hours postoperatively.
Patient and Method: Forty patients underwent elective laparoscopic cholecystectomy were included in this study and sample was divided into two equal groups. Group A received 20 ml of 0.9% normal saline instilled in the gallbladder bed, while group B received 20 ml of 0.25% bupivacaine instilled in
... Show MoreTwo locally isolated microalgae (Chlorella vulgaris Bejerinck and Nitzschia palea (Kützing) W. Smith) were used in the current study to test their ability to production biodiesel through stimulated in different nitrogen concentration treatments (0, 2, 4, 8 gl ), and effect of nitrogen concentration on the quantity of primary product (carbohydrate, protein ), also the quantity and quality of lipid. The results revealed that starvation of nitrogen led to high lipid yielding, in C. vulgaris and N. palea the lipid content increased from 6.6% to 40% and 40% to 60% of dry weight (DW) respectively.Also in C. vulgaris, the highest carbohydrate was 23% of DW from zero nitrate medium and the highest protein was 50% of DW in the treatment 8gl. Whil
... Show MoreThe paper aims at initiating and exploring the concept of extended metric known as the Strong Altering JS-metric, a stronger version of the Altering JS-metric. The interrelation of Strong Altering JS-metric with the b-metric and dislocated metric has been analyzed and some examples have been provided. Certain theorems on fixed points for expansive self-mappings in the setting of complete Strong Altering JS-metric space have also been discussed.
This research including lineament automated extraction by using PCI Geomatica program, depending on satellite image and lineament analysis by using GIS program. Analysis included density analysis, length density analysis and intersection density analysis. When calculate the slope map for the study area, found the relationship between the slope and lineament density.
The lineament density increases in the regions that have high values for the slope, show that lineament play an important role in the classification process as it isolates the class for the other were observed in Iranian territory, clearly, also show that one of the lineament hit shoulders of Galal Badra dam and the surrounding areas dam. So should take into consideration