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Tissue inhibitor of metalloproteinase-1 (TIMP-1) serum level and genetic polymorphisms associated with cutaneous leishmania infections
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Introduction: Cutaneous leishmaniasis is considered a parasitic contagion resulting from the flagellated parasite belonging to the genus of Leishmania. Also, cutaneous leishmaniasis is a zoonotic ailment transmitted through the bloodsucking sand-flies bite (belonging to the Phlebotomus genus). The disease's reservoirs included wild or semi-domesticated animals, in general rodents and dogs. Tissue inhibitor metalloproteinase-1 (TIMP-1) is one of the extracellular matrix proteins that have a role in vessel wall degeneration and aneurysm development. In addition, it belongs to the zinc-dependent endopeptidases family that are involved in the degradation of connective tissues proteins which are included in vascular integrity maintenance. The Genetic deviations in the TIMP-1 genes might impact their expression at the transcription level or the enzyme activity. Therefore, the present study aimed to detect the impact of TIMP-1 serum level and single nucleotide polymorphisms (SNPs) rs41454248 and rs1043428 among the cutaneous leishmaniasis patients’ group compared to the control group. Subjects: Seventy-five cutaneous leishmaniasis patients (39 males and 36 females) with the age mean 23.91 ± 13.14 years participated in this study, compared to the matched number, age, and gender of a healthy control group (75: 38 males and 37 females) with the age mean 22.84 ± 4.35 years. In the current study, the serum level of TIM-1 and rs41454248 and rs1043428 SNPs were studied among the cutaneous leishmaniasis patients’ group compared to the control group. Results: The findings of the TIMP-1 level referred to a significant decrease among the cutaneous leishmaniasis patients’ group compared to the healthy control group (26339.67 ± 900.79 vs. 33480.25 ± 1098.63). Such, the rs41454248 SNPs findings referred that the GG genotype and G allele were non-significantly increased frequency percentage in cutaneous leishmaniasis patients group compared to the healthy control group (29.33 vs. 18.67%, OR: 1.81, p = 0.180; 55.0 vs. 47.0%, OR: 1.38, p = 0.204 respectively). Also, the high OR value of GG genotype and G allele referred to this genotype and allele might be a risk factor for cutaneous leishmaniasis. Likewise, the findings of rs1043428 SNPs appeared that the CC genotype and C allele were significantly increased frequency percentage in cutaneous leishmaniasis patients' group compared to the control group (37.33 vs. 4.0%, OR: 14.30, p = 3.6 × 10−7; 57.0 vs. 21.33, OR: 4.82, p = 4.5 × 10−10). Also, the high OR value of CC genotype and C allele referred to this genotype and allele might be risk factors for cutaneous leishmaniasis. In addition, the CG genotype appeared a non-significant increased frequency percentage in the patients' group compared to the control group and the value of OR referred to might be a risk factor for cutaneous leishmaniasis (33.33 vs. 25.33, OR: 1.47, p = 0.370). In addition, the serum level of TIMP-1 with the rs41454248 was significantly decreased in GA and AA genotypes of the patients’ group compared to the control. While the level was non-significantly decreased in the GG genotype of the patients' group compared to the control group. Likewise, the level of TIMP-1 with the rs1043428 was non-significantly decreased in all genotypes (except TT genotype) of the patients' group compared to the control. Whereas, a significant decrease level was appeared in the TT genotype of the patients' group compared to the healthy control group. Conclusion: The current findings demonstrated a significant association between TIMP-1 serum level and genetic polymorphisms (rs1043428 and rs41454248) among cutaneous leishmaniasis patients.

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Publication Date
Fri Jun 15 2018
Journal Name
Journal Of Baghdad College Of Dentistry
Determination the concentration of insulin-like growth factor-I (IGF-I) in saliva of acromegalic patients, and comparison it with the levels of serum IGF-I.
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Acromegaly is ametabolic disorder characterized by an acquired progressive somatic disfigurement, mainly involving the face, extremities and many other organs, that are associated with systemic manifestations, caused by excessive secretion of growth hormone and a resultant persistent elevation of insulin-like growth factor-I concentrations. In more than 90% of cases originates from a monoclonal benign pituitary adenoma. Aim of this study to assess the level of insulin-like growth factor-I (IGF-I) in saliva of acromegalic patients, and to compare it with the basal levels of serum IGF-I. Sixty specimens of serum and saliva collected from two groups of subjects (forty acromegalic patients and twenty healthy persons). The specimens were

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Publication Date
Mon Jan 02 2017
Journal Name
European Journal Of Scientific Research
Fast approach for arabic text encryption using genetic algorithm
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As s widely use of exchanging private information in various communication applications, the issue to secure it became top urgent. In this research, a new approach to encrypt text message based on genetic algorithm operators has been proposed. The proposed approach follows a new algorithm of generating 8 bit chromosome to encrypt plain text after selecting randomly crossover point. The resulted child code is flipped by one bit using mutation operation. Two simulations are conducted to evaluate the performance of the proposed approach including execution time of encryption/decryption and throughput computations. Simulations results prove the robustness of the proposed approach to produce better performance for all evaluation metrics with res

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Publication Date
Fri Jan 01 2016
Journal Name
International Journal Of Advanced Computer Science And Applications
Automatic Approach for Word Sense Disambiguation Using Genetic Algorithms
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Abstract: Word sense disambiguation (WSD) is a significant field in computational linguistics as it is indispensable for many language understanding applications. Automatic processing of documents is made difficult because of the fact that many of the terms it contain ambiguous. Word Sense Disambiguation (WSD) systems try to solve these ambiguities and find the correct meaning. Genetic algorithms can be active to resolve this problem since they have been effectively applied for many optimization problems. In this paper, genetic algorithms proposed to solve the word sense disambiguation problem that can automatically select the intended meaning of a word in context without any additional resource. The proposed algorithm is evaluated on a col

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Publication Date
Fri Jan 01 2016
Journal Name
Wuhaib, K.m. , Hadi, B.h. , Hassan, W.a. Iraqi Journal Of Agricultural Sciences, 2016, 47(5), Pp. 1151–1165
Some genetic parameter in maize using full diallel crosses
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Publication Date
Fri Oct 30 2020
Journal Name
Journal Of Economics And Administrative Sciences
Estimate The Survival Function By Using The Genetic Algorithm
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  Survival analysis is the analysis of data that are in the form of times from the origin of time until the occurrence of the end event, and in medical research, the origin of time is the date of registration of the individual or the patient in a study such as clinical trials to compare two types of medicine or more if the endpoint It is the death of the patient or the disappearance of the individual. The data resulting from this process is called survival times. But if the end is not death, the resulting data is called time data until the event. That is, survival analysis is one of the statistical steps and procedures for analyzing data when the adopted variable is time to event and time. It could be d

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Publication Date
Sat Jan 01 2011
Journal Name
Journal Of The College Of Basic Education
Solving Job-Shop Scheduling Problem Using Genetic Algorithm Approach
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Publication Date
Sat Jul 31 2021
Journal Name
Iraqi Journal Of Science
A Decision Tree-Aware Genetic Algorithm for Botnet Detection
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     In this paper, the botnet detection problem is defined as a feature selection problem and the genetic algorithm (GA) is used to search for the best significant combination of features from the entire search space of set of features. Furthermore, the Decision Tree (DT) classifier is used as an objective function to direct the ability of the proposed GA to locate the combination of features that can correctly classify the activities into normal traffics and botnet attacks. Two datasets  namely the UNSW-NB15 and the Canadian Institute for Cybersecurity Intrusion Detection System 2017 (CICIDS2017), are used as evaluation datasets. The results reveal that the proposed DT-aware GA can effectively find the relevant features from

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Publication Date
Mon Jan 01 2024
Journal Name
Malaysian Journal Of Nursing
Relationship between Cigarette Smoking and Anxiety Level among Nurses
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Background: This study aims to determine whether cigarette smoking and anxiety degrees are related among nurses. Methods: A correlation design study was conducted at Baquba Teaching Hospital in Diyala Governorate, and the study period extended from September 10th, 2023, to January 28th, 2024. A nonprobability purposive sample was used to include 200 nurses working at Baquba Teaching Hospital, Iraq. Data were collected using a self-administered questionnaire from January 10th to February 7th, 2024. There were two components to the study instruments. Initially, the demographic sheet contained the individuals' sociodemographic data. The Taylor manifest anxiety scale is included in the second section. The collected data were analyzed us

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Publication Date
Fri Mar 06 2026
Journal Name
Journal Of Studies And Researches Of Sport Education
The effect of using the educational bag on the level of learning some offensive skills with the epee weapon
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Publication Date
Sun May 28 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Science
On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm
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