Frustration degree and guilt among drug addicts harmful to themselves

إياد الحلاق; عوني عبد الرحمن عيسى الطوباسي

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Publication Date

Mon Jan 02 2017

Journal Name

Journal Of Educational And Psychological Researches

Volume

14

Issue Number

52

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Frustration degree and guilt among drug addicts harmful to themselves

Frustration degree and guilt among drug addicts harmful

إياد الحلاق

عوني عبد الرحمن عيسى الطوباسي

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This study aimed to identify the degree of frustration and guilt among addicts who hurt themselves with drug, and to know the addicts perspective who are in treatment clinics and rehabilitation centers in Palestine, in order to achieve this goal aDeterminationThe study population has been identified , this study population consisted of ' (82) addict, the researcher used the descriptive analytical method which is appropriate for this study, so the researcher questioned the addicts who are in treatment clinics and rehabilitation centers in Palestine and analyze their responses in light of some of the variables.

The study results showed that drug addicts who are in treatment clinics and rehabilitation centers in Palestine suffering from a high degree of frustration in all field that would be related to family , work, friends, Parents , treatment clinics and finally therapeutic supervisor. Also the results showed that drug addicts suffering from a high degree of feeling guilt.

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Publication Date

Thu Mar 18 2010

Journal Name

Spe Projects, Facilities & Construction

Correlating Optimum Stage Pressure for Sequential Separator Systems

separation and treating

PVT measurement

optimization problem

Upstream Oil & Gas

Phase Behavior

objective function

optimum stage pressure

GOR

Artificial Intelligence

Mohammed S.

Omar

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Summary<p>A study to find the optimum separators pressures of separation stations has been performed. Stage separation of oil and gas is accomplished with a series of separators operating at sequentially reduced pressures. Liquid is discharged from a higher-pressure separator into the lower-pressure separator. The set of working separator pressures that yields maximum recovery of liquid hydrocarbon from the well fluid is the optimum set of pressures, which is the target of this work.</p><p>A computer model is used to find the optimum separator pressures. The model employs the Peng-Robinson equation of state (Peng and Robinson 1976) for volatile oil. The application of t</p> ... Show More

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Publication Date

Wed Jul 12 2023

Journal Name

Energies

Finite Time Disturbance Observer Based on Air Conditioning System Control Scheme

air condition system

robust finite time disturbance observer (RFTDO)

finite time composite control (FTCC)

temperature and humidity control

disturbance rejection

Kamal

Mohammad

Ahmed M.

Zhenwei

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A novel robust finite time disturbance observer (RFTDO) based on an independent output-finite time composite control (FTCC) scheme is proposed for an air conditioning-system temperature and humidity regulation. The variable air volume (VAV) of the system is represented by two first-order mathematical models for the temperature and humidity dynamics. In the temperature loop dynamics, a RFTDO temperature (RFTDO-T) and an FTCC temperature (FTCC-T) are designed to estimate and reject the lumped disturbances of the temperature subsystem. In the humidity loop, a robust output of the FTCC humidity (FTCC-H) and RFTDO humidity (RFTDO-H) are also designed to estimate and reject the lumped disturbances of the humidity subsystem. Based on Lyapunov theo

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(14)

Publication Date

Sun May 01 2022

Journal Name

Expert Systems With Applications

Novel large scale brain network models for EEG epileptic pattern generations

Low and high gamma EEG EEG seizure-like signal Connectome-based brain network modelling Temporal dynamics of Stefanescu-Jirsa 2D TVB

Auhood

Bo

Peng

Yan

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Background: Unlike normal EEG patterns, the epileptiform abnormal pattern is characterized by different mor phologies such as the high-frequency oscillations (HFOs) of ripples on spikes, spikes and waves, continuous and sporadic spikes, and ploy2 spikes. Several studies have reported that HFOs can be novel biomarkers in human epilepsy study. S) Method: To regenerate and investigate these patterns, we have proposed three large scale brain network models (BNM by linking the neural mass model (NMM) of Stefanescu-Jirsa 2D (S-J 2D) with our own structural con nectivity derived from the realistic biological data, so called, large-scale connectivity connectome. These models include multiple network connectivity of brain regions at different

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Publication Date

Sun Jun 06 2010

Journal Name

Baghdad Science Journal

Charge density distributions for odd-A of 2s-1d shell nuclei

"charge density distributions for odd- of shell nuclei

root mean square charge radii

occupation numbers of higher states for and nuclei"

Altaf Abdul Majeed

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An analytical expression for the charge density distributions is derived based on the use of occupation numbers of the states and the single particle wave functions of the harmonic oscillator potential with size parameters chosen to reproduce the observed root mean square charge radii for all considered nuclei. The derived expression, which is applicable throughout the whole region of shell nuclei, has been employed in the calculations concerning the charge density distributions for odd- of shell nuclei, such as and nuclei. It is found that introducing an additional parameters, namely and which reflect the difference of the occupation numbers of the states from the prediction of the simple shell model leads to obtain a remarkabl

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Publication Date

Thu Feb 01 2018

Journal Name

Journal Of Economics And Administrative Sciences

Evaluation of Common Stocks Using The Fama-French Five Factor Model An Applied Study in The Iraq Stock Exchange

: Fama and French Five Factor Model

Beta Coefficient

Size or Volume Factor

Book Value/ Market Value Factor

Profitability Factor

Investment Factor

شذى عبد الحسين

زينب باسم

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The process of stocks evaluating considered as a one of challenges for the financial analysis, since the evaluating focuses on define the current value for the cash flows which the shareholders expected to have. Due to the importance of this subject, the current research aims to choose Fama & French five factors Model to evaluate the common stocks to define the Model accuracy in Fama& French for 2014. It has been used factors of volume, book value to market value, Profitability and investment, in addition to Beta coefficient which used in capital assets pricing Model as a scale for Fama & French five factors Model. The research sample included 11 banks listed in Iraq stock market which have me

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Publication Date

Sun Dec 01 2024

Journal Name

Chilean Journal Of Statistics

A method of multi-dimensional variable selection for additive partial linear models.

Adaptive least absolute shrinkage and selection operator · Dimension reduction · LASSO · Mean squared error · Minimum average variance estimation · Smoothly clipped absolute deviation

Munaf Y.

Hayder

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In high-dimensional semiparametric regression, balancing accuracy and interpretability often requires combining dimension reduction with variable selection. This study intro- duces two novel methods for dimension reduction in additive partial linear models: (i) minimum average variance estimation (MAVE) combined with the adaptive least abso- lute shrinkage and selection operator (MAVE-ALASSO) and (ii) MAVE with smoothly clipped absolute deviation (MAVE-SCAD). These methods leverage the flexibility of MAVE for sufficient dimension reduction while incorporating adaptive penalties to en- sure sparse and interpretable models. The performance of both methods is evaluated through simulations using the mean squared error and variable selection cri

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Publication Date

Sat Jan 01 2022

Journal Name

Turkish Journal Of Physiotherapy And Rehabilitation

classification coco dataset using machine learning algorithms

learning Machine

classification

MCOCO dataset

K Nearest Neighbor's

Stochastic Gradient Descent learning (SGD)

Logistic Regression Algorithm(LR)

and Multi-Layer Perceptron (MLP).

Rasool

Bushra

Raaid

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In this paper, we used four classification methods to classify objects and compareamong these methods, these are K Nearest Neighbor's (KNN), Stochastic Gradient Descentlearning (SGD), Logistic Regression Algorithm(LR), and Multi-Layer Perceptron (MLP). Weused MCOCO dataset for classification and detection the objects, these dataset image wererandomly divided into training and testing datasets at a ratio of 7:3, respectively. In randomlyselect training and testing dataset images, converted the color images to the gray level, thenenhancement these gray images using the histogram equalization method, resize (20 x 20) fordataset image. Principal component analysis (PCA) was used for feature extraction, andfinally apply four classification metho

Publication Date

Wed Feb 01 2017

Journal Name

International Journal Of Science And Research (ijsr)

Fibrewise Bitopological Spaces

Fibrewise bitopological spaces

fibrewise closed bitopological spaces

fibrewise open bitopological spaces

fibrewise locally sliceable bitopological spaces and fibrewise locally sectionable bitopological spaces.

Y. Y.

L. A.

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We introduce and discus recent type of fibrewise topological spaces, namely fibrewise bitopological spaces, Also, we introduce the concepts of fibrewise closed bitopological spaces, fibrewise open bitopological spaces, fibrewise locally sliceable bitopological spaces and fibrewise locally sectionable bitopological spaces. Furthermore, we state and prove several propositions concerning with these concepts.

Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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Publication Date

Wed Dec 01 2021

Journal Name

Structures

The effect of ground motion characteristics on the fragility analysis of reinforced concrete frame buildings in Australia

The seismic performance of buildings can be assessed through fragility analysis as it yields the probability of the demand exceeding the capacity at a specified level of intensity. Although it's well-identified that earthquake uncertainties dominate the fragility characteristics

the influence of the characteristics of the earthquake on the fragility analysis is not well investigated. This study aims to compare the effect of earthquake characteristics on the fragility values of typical buildings in Australia. To achieve this

a typical reinforced concrete building is selected and modeled using a finite element approach. Various ground motion suites

such as near-fault

far-fault

and long-duration are selected

and the fragility analysis has been carried out for each ground motion suite. It is observed that the variation in the median values of the collapse fragilities can be as high as 48% between short-duration and long-duration ground motions

and about 40% between long-duration and pulse-like ground motions.

Aya

Sujith

Javad

Alaa

M.D. Morshed

Abbas A.

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