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Positive and Negative Effects of the Commensal Bacteria on Carcinogenesis
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Background: Cancer is a lethal disease that results from a multifactorial process. Progression into carcinogenesis and an abnormal cell proliferation can occur due to the micro and macro environment as well as genetic mutations and modifications. In this review, cancer and the microbiota – mainly bacteria that inhabit the tumour tissue – have been discussed. The positive and negative impacts of the commensal bacteria on tumours being protective or carcinogenic agents, respectively, and their strategies have also been described. Methods: Related published articles written in English language were searched from Google Scholar, PubMed, Mendeley suggestions, as well as Google search using a combination of the keywords ‘Microbiota, commensal bacteria, cancer, tumor’. Relevant literature published between the years 1979 and 2018 were included in this review. Results: The complicated nature of cancer as well as the role that might be played by the commensal bacteria in affected tissues have been the focus of the recent studies. The symbiotic relationships between the microbiota and the host have been shown to confer benefits to the last. By contrast, the microbiota has been suggested to upgrade cancer by modifying the balance of host cell proliferation and death, by provoking chronic inflammation, and by eliciting uncontrolled innate and adaptive immunity. In this context, aerobic and anaerobic bacteria have been isolated from various tumor samples. Conclusions: It can be concluded that commensal microbiota plays an important role in the prevention of diseases including cancer. Inversely, microbiota alterations (dysbiosis) have been found to interrupt that symbiotic correlation between the host and the inhabitant microbiota probably leading to cancer. Recommendations: The correlation between the commensal microbiome, antibiotics uptake and cancer occurrence need to be investigated exclusively. Moreover, increased attention must be paid to evaluating the effects of these microorganisms on the currently used anticancer agents, and the role that might be played by commensal bacteria on tumor progression or tumor regression.

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Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
SDN-RA: An Optimized Reschedule Algorithm of SDN Load Balancer for Data Center Networks Based on QoS
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Abstract<p>With the development of cloud computing during the latest years, data center networks have become a great topic in both industrial and academic societies. Nevertheless, traditional methods based on manual and hardware devices are burdensome, expensive, and cannot completely utilize the ability of physical network infrastructure. Thus, Software-Defined Networking (SDN) has been hyped as one of the best encouraging solutions for future Internet performance. SDN notable by two features; the separation of control plane from the data plane, and providing the network development by programmable capabilities instead of hardware solutions. Current paper introduces an SDN-based optimized Resch</p> ... Show More
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Publication Date
Fri Jun 16 2023
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Autophagy or Apoptosis: Anticancer Molecular Mechanism of Epigallocatechin Gallate with Natural Polyphenol Effect on HepG2 Cells Viability
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Background: The anticancer impact of Epigallocatechin gallate (EGCG) the highly active polyphenol of green tea was abundantly studied.  Though, the exact mechanism of its cytotoxicity is still under investigation. Objectives: Hence, the current study designed to investigate the molecular target of EGCG in HepG2 cells on thirteen autophagy- and/or apoptosis- related genes. Methods: The apoptosis detection analyses such as flow cytometry and dual apoptosis assay were used. The genes expression profile was explored by the real-time quantitative-PCR. Results: EGCG increases G0/G1 cell cycle arrest and the real-time apoptosis markers proteins leading to stimulate apoptos

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Publication Date
Tue Feb 12 2019
Journal Name
Iraqi Journal Of Laser
Generation of True Random TTL Signals for Quantum Key-Distribution Systems Based on True Random Binary Sequences
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A true random TTL pulse generator was implemented and investigated for quantum key distribution systems. The random TTL signals are generated by low cost components available in the local markets. The TTL signals are obtained by using true random binary sequences based on registering photon arrival time difference registered in coincidence windows between two single – photon detectors. The true random TTL pulse generator performance was tested by using time to digital converters which gives accurate readings for photon arrival time. The proposed true random pulse TTL generator can be used in any quantum -key distribution system for random operation of the transmitters for these systems

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Publication Date
Wed Apr 01 2020
Journal Name
Plant Archives
Effect of alternate water quality irrigation on pore sizes distribution during drainage in clay loam texture soil
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Publication Date
Thu Jul 04 2024
Journal Name
Journal Of Chemical Technology &amp; Biotechnology
Adsorption of bimetal from aqueous solution on plum seed activated carbon synthesized by pyrocarbonic acid microwave method
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Abstract<sec><title>BACKGROUND

This article presents the simultaneous adsorption of bimetal Cu2+ and Zn2+ from an aqueous solution using activated carbon synthesized from a plum seed precursor by sulfuric acid and microwave activation: plum seeds chemically activated by 45% (w/w) sulfuric acid with 2:1 ratio for 4 h, then carbonized for 2 h at 700 °C and the product obtained activated in a microwave oven for 20 min at 700 W for final of activation. Plum seeds and activated carbon produced were characterized in terms of their physical and chemical composition using Brunauer–Emmett–Teller measurements, field emission scanning electr

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Publication Date
Wed Dec 12 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
Effectiveness of Education Program on Health Care Workers’ Practices toward Waste Management in Primary Health Care Centers
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Objective(s): The aim of this study is to determine the effectiveness of education program on Health Care Workers’ practices toward Primary Health Care Centers waste management and to identify the relationship between these practices and the demographic characteristics of the health workers. Methodology: A quasi- experimental design (pre-post tests) has been used in the present study for the period of November 16th 2014 to June 22nd 2015 .The allocated sample in the present study is consisted of (60) health care worker. The sample was randomly divided into two groups of (30) health care workers each. The stu

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Publication Date
Mon Mar 03 2025
Journal Name
Iop Conference Series: Earth And Environmental Science
Study on Frequency of Hard Tick Isolated from Goat (<i>Capra hircus</i> Linnaeus, 1758) in Iraq
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Abstract<p>In Iraq, the domestic goat <italic>Capra hircus</italic> is valued as a valuable commercial resource. As obligatory ectoparasites, ixodid ticks cause significant harm to their animal hosts. Hard ticks parasitize the abdomen, inside limbs, ears, and head. Out of a total of 200 samples evaluated, 150 goat- infested samples had a total of 450 Hard ticks (303male and 147 female) and were infested at a rate of 75%. The results of the current research eight species of hard ticks were recognized. Goat species belonging to the family Ixodidae (Capra hircus: Linnaeus, 1758), obtained from distinct areas involving: the Iraqi capital Baghdad governorate [Al-Yusifiya], Al-Anbar governor</p> ... Show More
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Publication Date
Tue Dec 31 2013
Journal Name
Al-khwarizmi Engineering Journal
Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
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 A particle swarm optimization algorithm and neural network like self-tuning PID controller for CSTR system is presented. The scheme of the discrete-time PID control structure is based on neural network and tuned the parameters of the PID controller by using a particle swarm optimization PSO technique as a simple and fast training algorithm. The proposed method has advantage that it is not necessary to use a combined structure of identification and decision because it used PSO. Simulation results show the effectiveness of the proposed adaptive PID neural control algorithm in terms of minimum tracking error and smoothness control signal obtained for non-linear dynamical CSTR system.

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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Effect of Magnetized Water Treatment on some Biological Aspects for Fresh Water Snail Lymnaea lagotis (Schrank,1803)
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Exposure assays to magnetized water have so far revealed striking results. The present study was conducted to determine the effects of magnetized water treatment with in different intensities 500 , 1000 and 1500 Gauss on some biological aspects for species of freshwater Gastropod Lymnaea lagotis (Schrank, 1803) which important species in faun of aquatic habitats of Iraq. This species are considered a component of the food chain. The obtained results compared with these species which lived in the river(control). Result of these experiments showed increased significance the shell size (shell high, shell aperture length, shell aperture width and shell width) for L. lagotis with increased intensity magnetized water such as treated water with 1

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Publication Date
Mon Feb 01 2021
Journal Name
Https://www.researchgate.net/journal/university-of-baghdad-engineering-journal-1726-4073
Electrical Conductivity as a General Predictor of Multiple Parameters in Tigris River Based on Statistical Regression Model
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Surface water samples from different locations within Tigris River's boundaries in Baghdad city have been analyzed for drinking purposes. Correlation coefficients among different parameters were determined. An attempt has been made to develop linear regression equations to predict the concentration of water quality constituents having significant correlation coefficients with electrical conductivity (EC). This study aims to find five regression models produced and validated using electrical conductivity as a predictor to predict total hardness (TH), calcium (Ca), chloride (Cl), sulfate (SO4), and total dissolved solids (TDS). The five models showed good/excellent prediction ability of the parameters mentioned above, which is a very

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