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jeasiq-2079
"Acquired organizational immune and its impact on the application of knowledge management strategies" Analytical study of the opinions of a sample of Lecturer staff at the Technical College of Engineering and the Technical Institute of Amara
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             The present study aims to reveal the extent of the influence of the acquired organizational immune through its dimensions (organizational vaccination, organizational learning, organizational memory, and benchmarking) in the application of knowledge management strategies in its two dimensions (codification strategy, personalization strategy) as well as clarifying that influential relationship between the study variables Because of its importance in reducing resistance to change by responding to the requirements of the environment. A set of main and sub-hypotheses emerged from the study, which was formulated in view of the hypothesis scheme of the study, and in order to achieve its objectives, answer its questions and test the validity of its hypotheses, the study adopted the questionnaire as the main tool for obtaining the required data and information, as the responses of the sample members consisting of (45) individuals were analyzed. From the faculty members in both the Technical College of Engineering and the Technical Institute of Amara, and for the purpose of analyzing their responses, a number of statistical methods were used, represented by (arithmetic means, standard deviation, correlation, and multiple regression using the (SPSS) program. The results of the study confirmed the diagnosis (relationship and effect) of acquired organizational immune through its dimensions in the application of knowledge management strategies in its two dimensions (codification strategy, and personalization strategy) that it is related to a positive relationship. The management of the two organizations must study the sample and for the purpose of applying knowledge management strategies to it by strengthening it with acquired organizational immune through its approved dimensions for the purposes of the current study as an organized effort. The study reached a set of theoretical and applied conclusions, the most important of which was the existence of a positive relationship between its variables. It also proved that activating the dimensions of acquired organizational immune will lead to enhancing the application of knowledge management strategies in the two organizations studied

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Publication Date
Wed Jan 01 2020
Journal Name
Materials Chemistry And Physics
Natural dye extracted from Areca catechu fruits as a new sensitiser for dye-sensitised solar cell fabrication: Optimisation using D-Optimal design
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Publication Date
Fri Jul 01 2022
Journal Name
Humanitarian And Natural Sciences Journal
الـوزير محمد بن علي بن خلف ابو غالب الملقب بـ ( فـــخـر الــمـلك ) ( ت 407 هـ - 1016 م ) دراسة تأريخية
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ــد ً الوزيرالـــوزيــرمحمد بن علي بن خلف ابو غالب الملقب بـ (فـــخـر الــمـلك )(407هـ-1016م)من الشخصيات المهمة،ية البويهية ، المثيراء الامارواعظم وزرالجدل ، وهذا ما سنوضحهفي البحث .ي كون والده ِ كان صيرفيا ً فلادة ونشأة الوزير فخر الملك في بيئة عنيت بالجانب الأدارأسهمت وٌي ديوان مدينة واسط ، أثرِاتهفي صقل قدرالإالع ِ دارية ، فضلا ً عن صفاتهقلية ،ة البويهية علىاء الأماروالشخصية التي جعلته ُ يكون رمز وزرلكل ةارال

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Publication Date
Thu Jun 29 2023
Journal Name
Farmacia
CORRELATION BETWEEN INTEGRIN ALPHA-4 GENE POLYMORPHISMS AND FAILURE TO RESPOND TO NATALIZUMAB THERAPY IN IRAQI MULTIPLE SCLEROSIS PATIENTS
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Publication Date
Fri Jan 01 2021
Journal Name
International Journal Of Agricultural And Statistical Sciences
DYNAMIC MODELING FOR DISCRETE SURVIVAL DATA BY USING ARTIFICIAL NEURAL NETWORKS AND ITERATIVELY WEIGHTED KALMAN FILTER SMOOTHING WITH COMPARISON
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Survival analysis is widely applied in data describing for the life time of item until the occurrence of an event of interest such as death or another event of understudy . The purpose of this paper is to use the dynamic approach in the deep learning neural network method, where in this method a dynamic neural network that suits the nature of discrete survival data and time varying effect. This neural network is based on the Levenberg-Marquardt (L-M) algorithm in training, and the method is called Proposed Dynamic Artificial Neural Network (PDANN). Then a comparison was made with another method that depends entirely on the Bayes methodology is called Maximum A Posterior (MAP) method. This method was carried out using numerical algorithms re

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Publication Date
Wed May 12 2010
Journal Name
Tikrit Journal Of Pure Science
Synthesis and Characterizationof Mn(II),Co(II),Ni(II) , Cu(II) Complexes with 2- ( 4- Antipyrene azo )-tyrosine Ligand.
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Coupling reaction of ( 4-amino antipyrene) with the (L- tyrosine ) gave the new azo ligand 2- ( 4- Antipyrene azo ) - tyrosine .Treatment of this ligand with metal ions (Mn(II) ,Co(II), Ni(II), and Cu(II) )in ethanolic medium in (1:2) (M:L) ratio yield a series of a neutral complexes of the general formula [M(L)2] . The prepared complexes were characterized using flame atomic absorption , FT.IR , UV-Vis spectroscopic and elemental microanalysis (C.H.N) as well as magnetic susceptibility and conductivity measurement

Publication Date
Mon Jan 01 2024
Journal Name
Jordanian Journal Of Computers And Information Technology
BEYOND WORDS: HARNESSING SPEECH SOUND FOR SPEAKER AGE AND GENDER DETECTION USING 1D CNN ARCHITECTURE WITH SELF-ATTENTION MECHANISM
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Beyond the immediate content of speech, the voice can provide rich information about a speaker's demographics, including age and gender. Estimating a speaker's age and gender offers a wide range of applications, spanning from voice forensic analysis to personalized advertising, healthcare monitoring, and human-computer interaction. However, pinpointing precise age remains intricate due to age ambiguity. Specifically, utterances from individuals at adjacent ages are frequently indistinguishable. Addressing this, we propose a novel, end-to-end approach that deploys Mozilla's Common Voice dataset to transform raw audio into high-quality feature representations using Wav2Vec2.0 embeddings. These are then channeled into our self-attentio

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Publication Date
Mon Jun 01 2020
Journal Name
Iraqi Journal Of Physics
Monitoring dust storm using Normalized difference dust index (NDDI) and brightness temperature variation in Simi arid areas over Iraq
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Dust storms are a natural phenomenon occurring in most areas of Iraq. In recent years, the study of this phenomenon has become important because of the danger caused by increasing desertification at the expense of the green cover as well as its impact on human health. In this study  is important to devote the remote sensing of dust storms and its detection.Through this research, the dust storms can be detected in semi-arid areas, which are difficult to distinguish between these storms and desert areas. For the distinction between the dust storm pixels in the image with those that do not contain dust storm can be applied the Normalized Difference Dust Index (NDDI) and Brightness Temperature variation (BTV). MODIS sensors that carried

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Publication Date
Tue Mar 28 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Nitric Oxide, Peroxynitrite and Malondialdehyde Levels as Markers for Nitrosative/Oxidative Stress in Iraqi Patients with Systemic Lupus Erythematosus
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Systemic lupus Erythematosus is an autoimmune disease of unknown aetiology affecting multiple organ system. Reactive nitrogen and oxygen species are claimed to play a role in this disease. However, the potential of Nitrosative/Oxidative Stress to elicit an autoimmune, response remain till now largely unexplored in humans. This study was done to investigate the status and contribution of nitrosative/oxidative stress in Iraqi patients for systemic lupus erythematosus. Blood samples from 19 patients with systemic lupus erythematosus and 19 age-and sex- matched apparently healthy controls were evaluated for serum levels of nitrosative/oxidative stress markers including nitric oxide, peroxynitrite and malondialdehyde. Nitric oxide levels were

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Publication Date
Tue Dec 01 2020
Journal Name
Environmental Nanotechnology, Monitoring & Management
Sulfonated polyindole coated magnetic zincoxysulfide ([email protected]@SPID) core/shell nanocatalyst for simultaneous photocatalytic H2 production and BPA degradation
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Photocatalyst composed of core/shell magnetic zincoxysulfide nanocomposite coated with sulfonated polyindole ([email protected]/SPID) has been prepared and used for simultaneous photocatalytic H2 production and Bisphenol A (BPA) degradation. XRD, FE-SEM, EDX, BET surface area, UV-vis DRS and VSM were used to characterize the synthesized nanocomposites. The photocatalytic performance was evaluated using batch reactor under visible light irradiation. The photocatalytic activity of [email protected]/SPID nanocomposite was revealed to exceed that of [email protected] nanocomposite due to the heterojunctions between SPID and [email protected] species. The results exhibited that the effect of BPA initial concentration was found to be effectual on the improvement

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Publication Date
Wed Oct 30 2024
Journal Name
Internet Technology Letters
Using <scp>5G</scp> Standards for Smart Healthcare Applications and Designing an Artificial Intelligence‐Based Industry 4.0 Communication System
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ABSTRACT<p>The introduction of Industry 4.0, to improve Internet of Things (IoT) standards, has sparked the creation of 5G, or highly sophisticated wireless networks. There are several barriers standing in the way of 5G green communication systems satisfying the expectations for faster networks, more user capacity, lower resource consumption, and cost‐effectiveness. 5G standards implementation would speed up data transmission and increase the reliability of connected devices for Industry 4.0 applications. The demand for intelligent healthcare systems has increased globally as a result of the introduction of the novel COVID‐19. Designing 5G communication systems presents research problems such as optimizing </p> ... Show More
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