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jih-2655
Improved Certificate-Based Encryption Scheme in the Big Data: Combining AES and (ECDSA – ECDH)
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      Big data usually running in large-scale and centralized key management systems. However, the centralized key management systems are increasing the problems such as single point of failure, exchanging a secret key over insecure channels, third-party query, and key escrow problem. To avoid these problems, we propose an improved certificate-based encryption scheme that ensures data confidentiality by combining symmetric and asymmetric cryptography schemes. The combination can be implemented by using the Advanced Encryption Standard (AES) and Elliptic Curve Diffie-Hellman (ECDH). The proposed scheme is an enhanced version of the Certificate-Based Encryption (CBE) scheme and preserves all its advantages. However, the key generation process in our scheme has been done without any intervention from the certificate issuer and avoiding the risk of compromised CA. The Elliptic Curve Digital Signature Algorithm (ECDSA) has been used with the ECDH to handle the authentication of the key exchange. The proposed scheme is demonstrated on a big dataset of social networks. The scheme is analyzed based on security criteria that have been compared with the previous schemes to evaluate its performance.

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Publication Date
Fri Dec 30 2022
Journal Name
Iraqi Journal Of Science
Detection of Spectral Reflective Changes for Temporal Resolution of Land Cover (LC) for Two Different Seasons in central Iraq
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       The purpose of the study is the city of Baghdad, the capital of Iraq, was chosen to study the spectral reflection of the land cover and to determine the changes taking place in the areas of the main features of the city using the temporal resolution of multispectral bands of the satellite Landsat 5 and 8 for MSS and OLI sensors respectively belonging to NASA and for the period 1999-2021, and calculating the increase and decrease in the basic features of Baghdad .The main conclusions of the study were,

This study from 1999 to 2021 and in two different seasons: the Spring of the growing season and Summer the dry season. When using the supervised classification method to determine the differences, the results showed rema

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Publication Date
Fri Jul 01 2022
Journal Name
Iraqi Journal Of Science
Modulatory Effects of Date Palm (Phoenix dactylifera L.) Pits Extract Against Ethinylestradiol Induced Genotoxic Damage in Cultured Human Lymphocytes
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Ethinylestradiol is widely used in oral contraceptive formulations and also for the treatment of various sexual and metabolic disorders. It is not only a genotoxic agent but also a tumor initiating agent. In the present study, the modulatory effect of aqueous extract of date pits was evaluated against the genotoxic effect induced by ethinylestradiol on human lymphocytes using chromosomal aberrations (CA), blast index (BI), mitotic index (MI), sister chromatid exchanges (SCE) and replication index (RI) as parameters. The date pits extract was evaluated at 1.075x10-4, 2.125x10-4, 3.15x10-4 and 4.17x10-4 g/ml along with 10 μM of ethinylestradiol in culture medium. The results showed a significant dose-dependent decrease in the frequency of

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Publication Date
Sun Oct 22 2023
Journal Name
Iraqi Journal Of Science
Evaluation of CTLA-4 Gene polymorphism SNP 49 G/ A Association with Diabetes Mellitus Type 1 in Egyptian Population
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The (CTLA-4) encodes of the T cell receptor involved in the control of T cell
proliferation and mediates T cell apoptosis. The contribution of CTLA-4 gene
variants to type 1 diabetes has been analyzed in several ethnic groups. In this study,
the association of CTLA-4 +49 A/G polymorphism with type 1 diabetes was
investigated in Egyptian patients. Sixty type 1 diabetic patients (25 males and 35
females) and 60 healthy individuals (33 males and 27 females) subjects formed the
studied populations. CTLA-4 A/G polymorphism at position 49 in exon 1 was
identified using allele specific methods. Patient numbers with A/G, A/A and G/G
genotypes were 45 (75.0 %), 6 (10.0 %) and 9 (15.0%) while in healthy controls,
these w

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Publication Date
Sun May 26 2019
Journal Name
Iraqi Journal Of Science
Evaluation of Compounds Extracted from Eight Genera of Wild Mushrooms from Nigeria for Anti-cell Proliferation Activity in Vitro
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     Mushrooms have bioactive compounds that have antimicrobial, anti-cancer and antioxidant activities among other medicinal benefits. In the present study, we examined the anti-cell proliferation activities of mushrooms from eight genera obtained from the wild in Nigeria. Saccharomyces cerevisiae was used as a model organism to screen mushroom extracts for anti-cell proliferation activity. Polyphenols, high molecular weight polysaccharides and low molecular weight compounds from aqueous extracts were obtained from the test mushrooms using methanol and water respectively. The extracts were screened in vitro at different concentrations of extracts with the CyQuant cell proliferation assay. The high molecular

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Publication Date
Wed Nov 30 2022
Journal Name
Iraqi Journal Of Science
Comparison of Three Electrical Resistivity Arrays to Investigate Weak Zones in Soil, Along a Profile Southeast Baghdad City, Iraq
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     The electrical resistivity method is one of the geophysical methods for detecting weak subsurface zone. The 2D resistivity data were used to compare three electrode configurations, Wenner, Dipole-dipole, and Schlumberger, to detect weak subsurface zones along a profile south of Baghdad near the Bismayah pumping station. The results show many zones of low resistivity that may be weak zones. A dipole-dipole array is a large number of measurements and is more sensitive than others. The Wenner-Schlumberger array has a depth also higher than other arrays. Wenner array has higher signal strength than other arrays. Because it is more sensitive to horizontal and vertical structures, the dipole-dipole array is the optimum for mapping sub

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Publication Date
Wed Mar 30 2022
Journal Name
Iraqi Journal Of Science
Impact of Varying Viscosity with Hall Current on Peristaltic Flow of Viscoelastic Fluid Through Porous Medium in Irregular Microchannel
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    In this article the peristaltic transport of viscoelastic fluid through irregular microchannel under the effect of Hall current, varying viscosity and porous medium is investigated. The mathematical expressions for the basic flow equations of motion are formulated and transformed into a system of ordinary differential equations by utilizing appropriate non dimensional quantities. The exact solution for the temperature distribution is obtained, while perturbation series solution for the stream function in terms of tiny viscosity parameter is used. Graphical illustrations are  presented to capture the physical impact of embedded parameters in the fluid flow i.e. the fluid velocity field, temperature distribution, pressure rise, and

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Publication Date
Wed Apr 01 2020
Journal Name
Iraqi Journal Of Agricultural Sciences
Study of different factors effected in production of dextranase enzyme from a local isolate of b. Subtilis Z2 bacteria
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Publication Date
Wed Apr 01 2020
Journal Name
Diyala Journal Of Medicine
Histological Evaluation of Local Application of Flavonoid Extract of Capparis Spinosa on Wound Healing in Alloxan-Induced Diabetic Rats
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Publication Date
Wed Aug 31 2022
Journal Name
Journal Of Positive School Psychology
Impact Of An Educational Program For Nursing Management About Care Of Children Treated With VP Shunt In Mosul City
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Publication Date
Fri Dec 01 2023
Journal Name
Applied Energy
Deep clustering of Lagrangian trajectory for multi-task learning to energy saving in intelligent buildings using cooperative multi-agent
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The intelligent buildings provided various incentives to get highly inefficient energy-saving caused by the non-stationary building environments. In the presence of such dynamic excitation with higher levels of nonlinearity and coupling effect of temperature and humidity, the HVAC system transitions from underdamped to overdamped indoor conditions. This led to the promotion of highly inefficient energy use and fluctuating indoor thermal comfort. To address these concerns, this study develops a novel framework based on deep clustering of lagrangian trajectories for multi-task learning (DCLTML) and adding a pre-cooling coil in the air handling unit (AHU) to alleviate a coupling issue. The proposed DCLTML exhibits great overall control and is

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