CYTOKINES PROFILE FOR INTESTINAL AND SPLEEN HOMOGENATE
FOR IMMUNOSUPPRESSANT BALB/C MICE INFECTED WITH
CRYPTOSPORIDIUM PARVUM

Hayder Ali

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Publication Date

Thu Apr 15 2021

Journal Name

Biochem. Cell. Arch.

Volume

21

Issue Number

Supplement 1

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CYTOKINES PROFILE FOR INTESTINAL AND SPLEEN HOMOGENATE FOR IMMUNOSUPPRESSANT BALB/C MICE INFECTED WITH CRYPTOSPORIDIUM PARVUM

Cryptosporidium parvum

intestinal and spleen homogenate

IFN-g

TNF-a

Hayder Ali

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Cryptosporidiosis is mainly cause a persistent diarrhea in immune compromised patients, BALB/c mice have been suppressed by dexamethasone, tissue Th1, Th2 and Th17 cytokines concentrations in the ileum were significantly diminished in both infected and immunosuppressed mice. Level of IFN-g, TNF-a, IL-12, IL-6, IL-17A was increased in level, IL-4 didn’t increases, in both ileal and spleen tissue. Levels of above cytokines were examined in spleen in order to follow the proliferation of CD4+ T-cell during C. parvum infection.

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Publication Date

Sat May 31 2025

Journal Name

3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges

Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies

With the advent of technology

the fear of losing control has consistently accompanied humanity. While humans have discovered

invented

and created many remarkable things

they have also been haunted by the possibility of their creations turning against them. This fear

often referred to as the Frankenstein Complex

derives its name from Mary Shelley's Frankenstein (􀀔􀀛􀀔􀀛)

in which Dr. Frankenstein's creation ultimately destroys its maker. The Frankenstein Complex embodies the subconscious fear of artificial intelligence (AI) surpassing and potentially dominating humankind. This apprehension has inspired numerous literary works

including Daniel H. Wilson’s novels. The present study examines the widespread fear of AI

which has fueled conspiracy theories in literature. These theories have not only amplified public anxiety but also hindered understanding among those with limited knowledge of AI and robotics. Dr. Wilson

a robotics expert

uses his imagination as a driving force for both his writing and his inventions. The research focuses on incidents leading to the rise of robots

the concept of the New War

how it was fought

and how it concluded. By comparing

contrasting

and analyzing literary elements and devices with prominent conspiracy theories

the study highlights the interplay between fiction and scientific development. The researchers conclude that while many conspiracy theories contain elements of truth

they often inspire scientists to explore them further. Additionally

some conspiracy theories warrant serious consideration. The study recommends acknowledging the Frankenstein Complex while maintaining faith in the potential benefits of artificial intelligence.

Ansam

Mayada

Zahraa

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Publication Date

Mon Jun 01 2020

Journal Name

Journal Of The College Of Languages (jcl)

OUTDATED VOCABULARY in A. I. HERZEN's NOVEL " who is to BLAME?": УСТАРЕВШАЯ ЛЕКСИКА В РОМАНЕ А. И. ГЕРЦЕНА «КТО ВИНОВАТ?»

obsolete words

stylistic coloring

lexemes

neutral lexemes

functional styles

stylistic coloring

text of a work of art.

устаревшие слова

стилистическая окраска

лексемы

нейтральные лексемы

функциональные стили

стилистическая окрашенность

текст художественного произведения

Noha Ati

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The article considers the main reason for A. I. Herzen's address to obsolete words, which is their ability to acquire a stylistic coloring in the context of speech, as well as the possibility of combining, in some cases, with neutral lexemes of various functional styles. A certain stylistic effect of such characteristics of this type of vocabulary is represented, as a result of which their stylistic coloring in syntagmatic terms does not coincide with stylistic coloring in terms of paradigmatics, that is, in speech they have a completely stylistic meaning. Attention is focused on the role of outdated vocabulary, which consists in the fact that they serve to implement such features of the artistic style as imagery, emotionality, and their

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Publication Date

Fri Aug 23 2013

Journal Name

International Journal Of Computer Applications

Lossless Compression of Medical Images using Multiresolution Polynomial Approximation Model

Multiresolution and polynomial approximation within high synthetic coding architecture for lossless image compression

Ghadah

Haider

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In this paper, a simple fast lossless image compression method is introduced for compressing medical images, it is based on integrates multiresolution coding along with polynomial approximation of linear based to decompose image signal followed by efficient coding. The test results indicate that the suggested method can lead to promising performance due to flexibility in overcoming the limitations or restrictions of the model order length and extra overhead information required compared to traditional predictive coding techniques.

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(4)

Publication Date

Thu Mar 13 2025

Journal Name

Journal Of Lifestyle And Sdgs Review

Enhancing Sustainability Reporting in Green Universities Through Social Media: A Case Study of Baghdad University on Advancing SDG

Sustainable Reports

Green Universities

Social Media

Consumption and Production

Sustainable Development Goals (SDGs)

Yassir Nori

Mustafa Abdalsamea Abdalhamed

Mustafa Abbas

Ali Hussein

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Objectives: This study aims to evaluate the role of social media in promoting awareness of green university initiatives and assess the effectiveness of sustainability reports in engaging students at Baghdad University. In alignment with Sustainable Development Goal 12 (Responsible Consumption and Production),It seeks to provide recommendations for enhancing digital platforms for sustainability communication. Theoretical Framework: The study is grounded in the Green University Model, Social Media Engagement Theory, and the Sustainability Reporting Framework, which emphasize integrating sustainable practices in education, using digital platforms for community engagement, and leveraging sustainability reports for transparency and

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Publication Date

Sat Jun 01 2024

Journal Name

Pakistan Journal Of Criminology

Artificial Intelligence Technology in the Field of Modern Forensic Evidence: Brain Fingerprinting as a Model

AI

modern forensic evidence

brain fingerprinting

p300

MERMER

position of legislation and judiciary.

Sahar

...Show More Authors

Brain Fingerprinting (BF) is one of the modern technologies that rely on artificial intelligence in the field of criminal evidence law. Brain information can be obtained accurately and reliably in criminal procedures without resorting to complex and multiple procedures or questions. It is not embarrassing for a person or even violates his human dignity, as well as gives immediate and accurate results. BF is considered one of the advanced techniques related to neuroscientific evidence that relies heavily on artificial intelligence, through which it is possible to recognize whether the suspect or criminal has information about the crime or not. This is done through Magnetic Resonance Imaging (EEG) of the brain and examining

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Publication Date

Mon May 15 2017

Journal Name

Journal Of Theoretical And Applied Information Technology

Anomaly detection in text data that represented as a graph using dbscan algorithm

Anomaly Detection

Enhanced DBSCAN algorithm

Unsupervised anomaly detection and Concept Frame Graph (CFG)

Asma Khazaal Abdulsahib

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Anomaly detection is still a difficult task. To address this problem, we propose to strengthen DBSCAN algorithm for the data by converting all data to the graph concept frame (CFG). As is well known that the work DBSCAN method used to compile the data set belong to the same species in a while it will be considered in the external behavior of the cluster as a noise or anomalies. It can detect anomalies by DBSCAN algorithm can detect abnormal points that are far from certain set threshold (extremism). However, the abnormalities are not those cases, abnormal and unusual or far from a specific group, There is a type of data that is do not happen repeatedly, but are considered abnormal for the group of known. The analysis showed DBSCAN using the

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Publication Date

Tue Oct 01 2024

Journal Name

Association Of Arab Universities Journal Of Engineering Sciences

Interactive Design of Pediatric Hospital spaces

Interactive space

interactive design

Healing process

Healing Environment

Psychological Healing

and Social healing

Aws Faris

Rand H.M.

...Show More Authors

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Publication Date

Wed Feb 01 2017

Journal Name

International Journal Of Science And Research (ijsr)

Performance Evaluation of the Organic Matter Removal Efficiency in Wastewater Treatment Plants; Case study Al- Diwaniyah WWTP in Iraq

wastewater treatment

BOD5

COD

BOD5/COD ratio

BOD5 and COD correlations

removal efficiency

Awatif Soaded

Basim H.

Ahmed Makki

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This study aims to assess the removal efficiency andestablish the BOD5 and COD statisticalcorrelation of the sewage flowing in Al-Diwaniyah wastewater treatment plant in Iraq during the study period (2005-2016). The strength of the influent wastewater entering the plant varied from medium to high in strength. High concentrations of BOD5 and COD in the effluent were obtained due to the poor performance of the plant. This was observed from the BOD5 /COD ratios that did not confirm with the typical ratios for the treated sewage. To improve the performance of this plant, regression equations for BOD5 and COD removal percentages were suggested which can be used to facilitate evaluation of liquid waste and optimal control process. The equations

Publication Date

Wed Apr 02 2014

Journal Name

Journal Of Theoretical And Applied Information Technology

TUMOR BRAIN DETECTION THROUGH MR IMAGES: A REVIEW OF LITERATURE

Brain Tumor

Magnetic Resonance Image (MRI)

Preprocessing and Enhancement

Segmentation

Feature Extraction

Classification

Mohammed S. H.

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Today’s modern medical imaging research faces the challenge of detecting brain tumor through Magnetic Resonance Images (MRI). Normally, to produce images of soft tissue of human body, MRI images are used by experts. It is used for analysis of human organs to replace surgery. For brain tumor detection, image segmentation is required. For this purpose, the brain is partitioned into two distinct regions. This is considered to be one of the most important but difficult part of the process of detecting brain tumor. Hence, it is highly necessary that segmentation of the MRI images must be done accurately before asking the computer to do the exact diagnosis. Earlier, a variety of algorithms were developed for segmentation of MRI images by usin

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Publication Date

Mon Jun 20 2022

Journal Name

Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)

BIRDS OF CONSERVATION CONCERN AT AL-NAJAF DESERT, SOUTHERN DESERT OF IRAQ

Al-Najaf desert

Climate change

Hunting and trapping

Invasive species

Logging

Threatened birds.

Hayder M. Al-Rammahi

Mohammad K. Mohammad

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One eighth of the bird species in the world is considered globally threatened; the avifauna of Iraq comprises 409 species and is considered as the major indicator of the health of Iraq’s biological resources. The Iraqi geography falls into five main regions among which is the desert and semi-desert areas which cover much of the country area. Al-Najaf desert is still one of the poorly known regions from the biodiversity point of view. Birds of conservation concern are detected in Al-Najaf desert during 31 field trips to 20 sites conducted from August 2018 to April 2020, (citing literature records, and personal interviews with locals).The factors caused the bird numbers to decline in Al-Najaf desert include hunting and trapping, logging,

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