Objective: To know the impact of social networks on the mental health of adolescents in the city of Diwaniyah.
Methodology: A descriptive cross-sectional study was conducted on adolescents in preparatory schools in ALDiwaniyah
City Center, for the period from Jun 26, 2015 through to October 20, 2015. The schools were
selected from using Probability sampling (240 random samples) six schools were selected from 32 schools (20 %
from total number) the schools were chosen by writing the names of all schools on a pieces of paper and put in
bags. Then, selected six schools random, three boys schools (2 preparatory and 1 secondary) three girls schools
(2 preparatory and 1 secondary), then I chose the sample the students in grade (fourth preparatory and fifth
preparatory) students (sample) were chosen at random to take 30%_33% of each grade. The data were collected
through interview by questionnaire which consists of three parts, (1) socio-demographic characteristics of the
sample consisted of four items, they includes students age, gender, social status, family economic status. (2) The
programs and systems of social network (uses of networks and programs and the number of use hours). (3)
Psychological aspect consists 13 items. Data analysis by using program of (SPSS) version 19, Descriptive data
through determination of: Frequencies, Percentages, Mean of score, Graphical presentation and Statistical table,
Inferential statistical data analysis by application Chi–square test used this test for determine the association
between social network and adolescent's mental health.
Results: Facebook is most using of among Social network sites (42%) , as for systems electronic was greater
using smart phones (mobile) (49.5%) , (53.8%) of the study subjects, (68.8%) of the study subjects, overall
responses to the psychological health domain are high affected.
Recommendations: The study recommended that Families or parent and teacher should employ a monitoring
and frequent follow up for contain use addiction social networks sites, the mobile and others system that affect
upon psychological health. Ministry of education should make more attention toward apply laws about inter the
Mobil and other system to school. Organizations community health should be applying and reinforcing health
education regard to the use of social networks sites
Accurate prediction and optimization of morphological traits in Roselle are essential for enhancing crop productivity and adaptability to diverse environments. In the present study, a machine learning framework was developed using Random Forest and Multi-layer Perceptron algorithms to model and predict key morphological traits, branch number, growth period, boll number, and seed number per plant, based on genotype and planting date. The dataset was generated from a field experiment involving ten Roselle genotypes and five planting dates. Both RF and MLP exhibited robust predictive capabilities; however, RF (R² = 0.84) demonstrated superior performance compared to MLP (R² = 0.80), underscoring its efficacy in capturing the nonlinear genoty
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Mixed ligands reaction of [2-[(3-hydroxyphenyl)diazinyl]-1,2-benzothiazol-3(2H)-one-1,1-dioxide] (H2L, primary ligand) and bipyridyl (secondary ligand) with salts of Cr(III), Mn(II), Fe(III), Co(II) and Ni(II) was performed. A series of air-stable complexes with distinctive octahedral moieties was created by equal molar ratio (1:1:1). The formation of these compounds was verified using detecting analysis techniques incorporating mass spectra, which validated the achieved geometries. Fourier transform infrared (FTIR) analysis demonstrated how the ligands (H2L and bipyridyl) are chelated as tridentate (ONO) and bidentate (NN) groups, respectively and the coordination with the metal ions. Thermal decomposition studies using pyrolysis (
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