Objectives: The study aims to identify the quality of life level in schizophrenic patients and to find out the
relationships between the quality of life and some of personal characteristics for those patients with
schizophrenia.
Methodology: A descriptive correlation analytic design was used by using the assessment technique on sample
of 100 schizophrenic outpatients, who were selected purposively (non-probability sample) during the period
10/ 3/2013 - 1/ 12 /2013. The study was conducted on the schizophrenic patients in an out patient psychiatric
clinics at Ibn-Rushd; and Al-Rashad Psychiatric Teaching Hospital; Baghdad Teaching Hospital, and Al-Kadhimya
Teaching Hospital. Self administrative questionnaire was used which includes of two parts: the first includes the
covering letter and personal characteristics; the second include the quality of life scale (World Health
Organization QoL-BREF). The validity of the instrument was determined by using of face validity through the
panel of experts, and the reliability of the instrument was determined by internal consistency through the
computation of Alpha Correlation Coefficient (Cronbach's Alpha). The data were collected through the
utilization of the self administrated questionnaire as a mean of data collection via structured interviewing. Data
analysis was employed by applying the Statistical Package for Social Science version 17.0 (SPSS).
Results: The results indicated that the majority of sample were single males aged from 30-44 years old who
were unemployed graduated from institute or college education. The higher percentage of them had 11 years
and above duration of illness with 1-3 admission and complaining positive symptom. The majority of
schizophrenic patients have moderate quality of life level. There is a significant positive relationship between
quality of life and marital status and there is no relationship with other characteristics.
Recommendations: The study recommended of providing vocational and rehabilitative programs for the
schizophrenic patients to improve their quality of life, and also the replication of the study with a large sample
is important.
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Expanded use of antibiotics may increase the ability of pathogenic bacteria to develop antimicrobial resistance. Greater attention must be paid to applying more sustainable techniques for treating wastewater contaminated with antibiotics. Semiconductor photocatalytic processes have proven to be the most effective methods for the degradation of antibiotics. Thus, constructing durable and highly active photocatalytic hybrid materials for the photodegradation of antibiotic pollutants is challenging. Herein, FeTiO3/Fe-doped g-C3N4 (FTO/FCN) heterojunctions were designed with different FTO to FCN ratios by matching the energy level of semiconductors, thereby developing effective direct Z-type heterojunctions. The photodegradation behaviors of th
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The accumulation of sediment in reservoirs poses a major challenge that impacts the storage capacity, quality of water, and efficiency of hydroelectric power generation systems. Geospatial methods, including Geographic Information Systems (GIS) and Remote Sensing (RS), were used to assess Dukan Reservoir sediment quantities. Satellite and reservoir water level data from 2010 to 2022 were used for sedimentation assessment. The satellite data was used to analyze the water spread area, employing the Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) to enhance the water surface in the satellite imagery of Dukan Reservoir. The cone formula was employed to calculate the live storag
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Alpha shape theory for 3D visualization and volumetric measurement of brain tumor progression using magnetic resonance images
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Abstract: Background: Optical biosensors offer excellent properties and methods for detecting bacteria when compared to traditional analytical techniques. It allows direct detection of many biological and chemical materials. Bacteria are found in the human body naturally non-pathogenic and pathologically, as they are found in other living organisms. One of these bacteria is Escherichia coli (E. coli) which are found in the human body in its natural and pathogenic form. E.coli bacteria cause many diseases, including Stomach, intestines, urinary system infections, and others. The aim of this study: is sensing and differentiation between normal flora and pathogenic E.coli. Material and method:
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