NTU Journal of Pure Sciences

This study was aimed to demonstrate the incidence of Hashimoto's disease in Iraqi patients
and its correlation to some of the sociodemographic features. The research groups involved (50 patients
with Hashimotoʼs disease and 50 healthy subjects). All of them were subjected to the estimation of
levels of free triiodothyronine (FT3), free thyroxine (FT4), TSH, anti-thyroid peroxidase (anti-TPO), and
anti-thyroglobulin (anti-Tg). The results demonstrated that there is a dramatic increasing in the
occurrence of HT in the older patients. The age group (41-50 years old) was the most age group affected
by Hashimoto's disease, followed by the age groups (31-40, 21-30, and 9-20 years old) respectively. A
significant proportional correlation (R:0.952, P:0.024) was found between HT disease and aging.
According to the gender, the results found that the vast majority (82%) of patients were females (P =
0.01). Also, smoking percent was (40%) of patients. The presence of autoimmune thyroid disease in one
or more individuals within the family (family history) was also evaluated and the results found that
(28%) of the Hashimotoʼs disease group have a positive family history to thyroid autoimmune diseases.
It can be concluded from these results that females are more prone to developing Hashimotoʼs disease
compared to males, in other words, the female gender is a risk factor for the occurrence of autoimmune
hypothyroidism. Also, the negative impact of smoking and family history give an indication that these
parameters are independent and don’t associated with Hashimotoʼs disease at least in the current
study

n recent years, different encryption lightweight algorithms have been
suggested to protect the security of data transferred across the IoT network. The
symmetric key ciphers play a significant role in the security of devices, in
particular block ciphers, the RECTANGLE algorithm amongst the current
lightweight algorithms. RECTANGLE algorithm does have good encryption
efficacy but the algorithm lacks the diffusion and confusion properties that a
block cipher should provide as one of its cryptographic security aspects.
Therefore, to improve the diffusion and confusion properties of the algorithm,
we expanded RECTANGLE utilizing a 3D cipher and modified the key scheduling
algorithm. To assess the randomness of the algorithm, randomness analysis was
done by using the NIST Statistical Test Suite. To create 100 samples, nine distinct
data categories were used. The algorithm created ciphertext blocks, which were
then concatenated to form a binary sequence. NIST tests carried out less than 1%
significance level. According to the results of the comparison study, the proposed
algorithm's randomnes

The massive spread of COVID-19 made it one of the biggest current pandemics in the world.
Predicting the extent of the virus\' spread is critical to containing the threat, because it helps to take
appropriate measures and decisions at the state level as well as at the personal level, where it is
possible to avoid travel to the places of spread and take the necessary measures to limit the spread of
the virus. In this research, an intelligent model has been built to predict the extent of the spread of the
Covid-19 disease in the Iraqi governorates. COVID-19 data for Iraq\'s governorates was obtained from a
website affiliated with the Iraqi Ministry of Health. The data was reconstructed according to a certain
structure to be used in training the prediction model. The LSTM deep learning algorithm was adopted
for its effective performance in predicting the direction of the recorded cases in the future. The results
showed high accuracy in the performance of the proposed model. The model performance was
measured using mean logarithmic square error (RMSLE) loss function. The model loss values are 0.0833
for predicting number of cases, 0.0616 for predicting number of deaths and 0.6096 for predicting the
incidence value for cases. It can be said that this is the first model built to predict COVID-19 cases based
on IRAQ’s governorates dataset.

Online auction sites are a great way for people to buy and sell goods without the hassle of
haggling prices or advertising items. it's also a good place for small businesses to advertise their
products because they can attract more buyers with even small advertising budgets.Online auction
system that enables people to buy and sell items to each other. It's similar to eBay but is more
focused on buying and selling locally instead of internationally. Mosul University and some of its
affiliated institutions, especially warehouses, lack the presence of an electronic auction that
facilitates the operations of conducting auctions, as the current auction system is a traditional
manual system with many difficulties and slow work, in addition to the complexity of the
procedures for offer and sale operations. This research paper includes scheming and executing an
online auction web application for Mosul University. This application will have a major role in
supporting the electronic auctions conducted by the University of Mosul in terms of facilitating the
display of items to be sold and speeding up and documenting sales processes and making the
procedures more flexible and accurate. It is possible to make this application public to many public
and private organizations. The manual system used for the auction at the University of Mosul was
analyzed and on the basis of which the electronic system was designed, applied and tested. The
application experiences showed flexibility in use and success in implementation. A web application
for an electronic auction system was created using the web languages HTML, CSS and JS, as well as
PHP, and SQL was used to save the data. The SMS service has also been activated to send a
confirmation request before completing the login process to confirm the identity of the customer,
which makes the system more secure.

Abstract: The activity of most Angiotensin Receptor Blockers (ARBs) is associated with the stability
of their metabolites via a process termed bio-activation. A process called biotransformation forms
these stable metabolites. The reactivity of these metabolite intermediates makes it difficult to
observe and describe them directly. This work employed computational chemistry to investigate
certain (ARBs) and their metabolites, as well as to forecast the most stable parent drugs. HOMO
values show that the Losartan metabolite (Losa.M) product is the lowest energy value for the HOMO
values, the thermodynamic energy, and the zero-point energy, in addition to having the lowest value
of entropy associated with the rest of the other compounds. Losa. metabolism or biotransformation
occurred via the oxidation of methanol moiety at position 5 of imidazole heterocyclic ring which
produces the more stable carboxylic acid metabolite Losa M., this chemical reaction does not occur
in the case of Olme and Cande. Olme and Cande undergo metabolism in another mechanism which
is ester hydrolysis process, this reaction occurs rapidly and completely by GI esterases, the HOMO of
these two drugs has low energy, (their HOMOs are not filled), and they are highly susceptible to
reduction. and thus, this potential hydrolysis increased the drug metabolism and thus excretion.

Hepatocellular carcinoma (HCC) (also known as liver cancer) is one of the most frequent cancers in
humans. HCC is linked to chronic hepatitis B and C virus infection, cirrhosis, and excessive alcohol consumption.
The aim of this study was to use Metaphase chromosome analysis in whole blood to determine chromosomal
aberrations (CA) in HBV, HCV, and HCC patients. A cohort of 145 samples have been collected from participants
from the date of 5 \ 1 \ 2020 to 15\9\ 2021. Among those samples are (40 healthy controls, HBV 38, 44 HCV,
and HCC 23) to make cytogenetic evaluation by observing the analysis of chromosome aberration. Our study
showed that the chromosome aberration With Gap was higher in the HCC patient group followed by HBV patient
group. also, the results showed that of the chromosome aberration without Gap in the HCC, and HCV patient
groups were significantly higher in females than in males. The results showed that higher break, dicentric (DIC)
was in HBV patients group followed by HCV patients group. The results showed that deletion, and ace were
higher in the HCV and HCC patient group followed by HBV patient group. Finally with Robertsonian
translocations(RO. Trans), the results showed that ace was higher in the HCV, and HBV patient groups. In
conclusion, we indicate that HBV, HCV, and HCC patients have chromosomal instability because of their
chromosome aberration levels.

On somatic cells, the hepatitis B virus (HBV) and the hepatitis C virus (HCV) are mutagenic. HBV
and HCV may be causing these mutagenesis effects via integrating into host DNA or by viral proteins. The
purpose of this research was to investigate if HBV and HCV had a genotoxic effect on renal epithelial cells'
DNA. A total of 145 samples were taken from participants between the periods of 5 \1 2020 and 15\9 2021.
(40 healthy controls, HBV 38, 44 HCV, and HCC 23) were used to perform cytogenetic analysis in renal
epithelial cells using the micronucleus (MNi) test and comet assay. For the comet experiment, 100 cells
were examined for each participant. A total of 100 cells were examined, with MNi scores assigned to each
participant. The frequency of MNi was found to be considerably greater in the HBV, HCV, and HCC patient
groups than in the control group. There was no significant difference in MNi scores between the HBV, HCV,
and HCC patient groups, however there was a significant difference between the study groups and healthy
carriers. In conclusion: due to their levels of DNA damage and MNi, chronic HBV, HCV, and HCC patients
are afflicted by genomic instability much like other patients