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jperc-317
Risk-taking Behavior and It's Relationship to Job Satisfaction Among Workers in the Emergency Program in UNRWA in Gaza Governorates
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This research aims to find out the relationship of risk behavior & job satisfaction for workers in the emergency program in the international relief agency (UNRWA) in the Gaza Strip and the level of each of them, and to achieve that we have been conducting research on the strength of "210" sample employees of the emergency program staff in the international relief agency in Gaza governorates, and try to answer the research questions the researcher through the use of measurements of risk behavior and job satisfaction are two of the researcher, The researcher has used several statistical methods to identify the validity and reliability of scales and access to research and interpretations of the results, and these methods: the mean, standard deviation and relative weight, Pearson correlation coefficient, test "t", scheffe test, variance and variance analysis bilateral analysis test (2 × 2), results showed that the level of risk-taking behavior is located at the average level of relative weight (68.5%), and job satisfaction level is at a good level relative weight (73.5%) among respondents, as well as the presence of a statistically significant relationship between job satisfaction and risk taking behavior in general, and the presence of statistically significant differences in the level of risk-taking behavior is attributable to gender, educational qualification, the nature of the profession, the workplace, and to maintain, and the lack of statistically significant differences in the level of risk-taking behavior attributed to marital status, years of experience, and the lack of statistically significant differences in the level of satisfaction differences career due to the variable gender, marital status, educational qualification, years of experience and the workplace, and the presence of significant differences in the level of job satisfaction differences due to the variable nature of the profession, the province, and the presence of the effect statistically significant interaction between gender "male, female" job satisfaction "low , high "after the distinctive capabilities of personal risk, while the results did not show statistically significant impact indicative of the rest of the dimensions of the total degree of risk taking behavior have, And the existence of the effect statistically significant interaction between qualification and job satisfaction "low, high," a motivated risk, while the results did not show significant influential statistically for the rest of the overall dimensions and the degree of risk taking behavior they have, and the presence of the effect statistically significant interaction between the nature of the profession and job satisfaction "low, high "Just risk decision-making, while the results did not show significant influential statistically for the rest of dimensions and the total score for the behavior of the risk they have, and the presence of the effect statistically significant interaction between the workplace and job satisfaction" low, high, "the dimensions accept the risk, and the motives of the risk, while not shown Results statistically significant effect on the rest of the dimensions of the total degree of risk taking behavior.

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Publication Date
Mon May 01 2023
Journal Name
Petroleum Research
Investigating tight oil reservoir production performance: Influence of geomechanical parameters and their distribution
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Publication Date
Tue Oct 15 2019
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Combining Convolutional Neural Networks and Slantlet Transform For An Effective Image Retrieval Scheme
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In the latest years there has been a profound evolution in computer science and technology, which incorporated several fields. Under this evolution, Content Base Image Retrieval (CBIR) is among the image processing field. There are several image retrieval methods that can easily extract feature as a result of the image retrieval methods’ progresses. To the researchers, finding resourceful image retrieval devices has therefore become an extensive area of concern. Image retrieval technique refers to a system used to search and retrieve images from digital images’ huge database. In this paper, the author focuses on recommendation of a fresh method for retrieving image. For multi presentation of image in Convolutional Neural Network (CNN),

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Publication Date
Mon Mar 01 2021
Journal Name
Journal Of Physics: Conference Series
Green synthesis of gold NPs by using dragon fruit: Toxicity and wound healing
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Abstract<p>In this work, the study of <italic>Hylocereus undatus</italic> properties was done by studying quantitative phytochemical compounds and seeking for total phenolic compounds, synthesis of gold nanoparticles was created via reduction of aqueous gold ions with the aqueous fruit extract of The <italic>Hylocereus undatus</italic> (dragon). The synthesized AuNPs were asserted by using (Uv-Vis) spectrophotometer; Fourier transforms infrared (FI-IR) spectroscopy, Atomic force microscope (AFM), Scanning Electron Microscopy (SEM) Zitasizer. The absorbance for SPR is noticed in 546 nm by using Uv-Visible spectroscopy The SEM and AFM analysis evidenced the particle size betwee</p> ... Show More
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Publication Date
Wed Apr 07 2021
Journal Name
Egyptian Journal Of Chemistry
Copolymers of Castor and Corn Oils with Lauryl Methacrylate as Green Lubricating Additives
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During the last few years, the greener additives prepared from bio-raw materials with low-cost and multifunctional applications have attracted considerable attention in the field of lubricant industry. In the present work, copolymers derived from sunflower and linseed oils with decyl methacrylate were synthesized by a thermal method using benzoyl peroxide (BPO) as a radical initiator. Direct polymerization of fatty acid double bonds in the presence of a free radical initiator results in the development of environmentally friendly copolymeric additives (Co-1 and Co-2). Fourier Transform Infrared (FTIR) and Proton Nuclear Magnetic Resonance (1H-NMR) were used to characterize the resulting copolymers. Thermal decomposition of copolymers was de

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Publication Date
Wed Dec 14 2011
Journal Name
Journal Of Intelligent Material Systems And Structures
Analytical determination of characteristic frequencies and equivalent circuit parameters of a piezoelectric bimorph
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Piezoelectric structures are nowadays used in many different applications. A better understanding of the influence of material properties and geometrical design on the performance of these structures helps to develop piezoelectric structures specifically designed for their application. Different equivalent circuits have been introduced in the literature to investigate the behaviour of piezoelectric transducers. The model parameters are usually determined from measurements covering the characteristic frequencies of the piezoelectric transducer. This article introduces an analytical technique for calculating the mechanical and electrical equivalent system parameters and characteristic frequencies based on material properties and geom

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Publication Date
Sat Oct 01 2016
Journal Name
Journal Of The College Of Basic Education
Some Thermodynmic Properties of binary Mixtures of Alcohol isomers and Sulfolane at 298.15K
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The refractive indices, nD densities 𝜌, and viscosities  of binary mixtures of sulfolane + n -butanol + sec- butanol + iso- butanol + tert – butanol + n-propanol and iso- propanol were measured at 298.15K. Form experimental data, excess molar volum VE , excess molar refractivity ∆nD, excess molar viscosity  E and excess molar Gibbs free energy of activation of viscous flow G *E were calculated. From n-propanol – sulfolane and iso- propanol sulfolane mixtures showed negative ∆nD, n-butanol – sulfolane, sec-butanal – sulfolane, iso-butanol – sulfolane and tert- butanol sulfolane , nD was positive over the whole mole fraction rang , while VE ,  E and G *E show a negative deviation. The

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Publication Date
Tue Jun 15 2021
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
A review on Active Constituents and Pharmacological Effects of Eriobotrya Japonica Lindl. (Loquat)
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Eriobotrya japonica Lindl., named as loquat, is a subtropical fruit tree of the family Rosaceae which is well known medical plant originated in  Japan and China. Loquat portions, like leaves, peels and fruits have been shown to possess various health usefulnesses.  In Chinese classical medicine, it is vastly utilized in many illnesses, like gastroenteric disorders, diabetes mellitus, pulmonary inflammatory diseases and chronic bronchitis. Loquat plant contain many active constituents, such as flavonoids, carotenoids, vitamins, polyphenolic compounds, other that have many biological effects like anti-tumor, anti-diabetic, anti-inflammatory, anti-mutagenic, antioxidant, antiviral, antitussive, hepatoprotective and hypoli

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Publication Date
Fri Oct 01 2021
Journal Name
International Journal Of Drug Delivery Technology
Synthesis and Preliminary Antimicrobial Activity Evaluation of New Amide Derivatives of 2-aminobenzothiazole
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Publication Date
Wed Aug 28 2024
Journal Name
Mesopotamian Journal Of Cybersecurity
A Novel Anomaly Intrusion Detection Method based on RNA Encoding and ResNet50 Model
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Cybersecurity refers to the actions that are used by people and companies to protect themselves and their information from cyber threats. Different security methods have been proposed for detecting network abnormal behavior, but some effective attacks are still a major concern in the computer community. Many security gaps, like Denial of Service, spam, phishing, and other types of attacks, are reported daily, and the attack numbers are growing. Intrusion detection is a security protection method that is used to detect and report any abnormal traffic automatically that may affect network security, such as internal attacks, external attacks, and maloperations. This paper proposed an anomaly intrusion detection system method based on a

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Publication Date
Thu Aug 11 2022
Journal Name
Arabian Journal For Science And Engineering
Synthesis and Characterization of Novel Nano Azo Compounds as a New pH Sensor
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