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<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identification of TYR Whole Gene Deletion in a Patient With Oculocutaneous Albinismby Next Generation Sequencing</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>305</FirstPage>
			<LastPage>310</LastPage>
			<ELocationID EIdType="pii">103002</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jsciences.2025.392219.1007917</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad Reza</FirstName>
					<LastName>Pourreza</LastName>
<Affiliation>1 Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Islamic Republic of Iran. 5 Department of Research and Development, Harmonic Medical Genetics Lab, Isfahan, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ghazale</FirstName>
					<LastName>Dargahi</LastName>
<Affiliation>2 Department of Genetics and Molecular Biology, Najafabad Branch, Islamic Azad University, Najafabad, Islamic Republic of Iran. 5 Department of Research and Development, Harmonic Medical Genetics Lab, Isfahan, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Marziyeh</FirstName>
					<LastName>Hoseinzadeh</LastName>
<Affiliation>1 Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Islamic Republic of Iran. 5 Department of Research and Development, Harmonic Medical Genetics Lab, Isfahan, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Nasibe</FirstName>
					<LastName>Tabibi</LastName>
<Affiliation>3 Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Islamic Republic of Iran. 5 Department of Research and Development, Harmonic Medical Genetics Lab, Isfahan, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Amin</FirstName>
					<LastName>Tabatabaiefar</LastName>
<Affiliation>1 Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Islamic Republic of Iran. 4 Pediatric Inherited Diseases Research Center, Research Institute for Primordial Prevention of Noncommunicable Disease, Isfahan University of Medical Sciences, Isfahan, Islamic Republic of Iran.
5 Department of Research and Development, Harmonic Medical Genetics Lab, Isfahan, Islamic Republic of Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>03</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>Oculocutaneous albinism (OCA) comprises a group of genetically heterogeneous, autosomal recessive disorders characterized by a partial or complete absence of melanin pigmentation in the skin, hair, and eyes, associated with visual impairment. In this study, we analyzed several genes in an Iranian male infant affected by OCA. Clinical investigations and laboratory evaluations were performed for the proband. A pedigree chart was also drawn. Genomic DNA was extracted from the proband and both parents. A targeted gene panel was sequenced by next-generation sequencing to identify pathogenetic variants. A deletion of exons 1–5 in the TYR gene was confirmed in the proband. Logically, the parents should be heterozygous for this mutation. The results of this research demonstrate the efficiency of targeted high-throughput sequencing in diagnosing heterogeneous disorders like OCA and detecting large genomic rearrangements. This deletion mutation may have resulted from an unequal crossing-over event in an ancestral lineage.</Abstract>
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			<Param Name="value">Next-generation sequencing (NGS)</Param>
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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Comparison Between HLA-B Allele Groups Among Peripheral Blood Stem Cell Donation Volunteers from Various Iranian Ethnicities</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>311</FirstPage>
			<LastPage>319</LastPage>
			<ELocationID EIdType="pii">103563</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jsciences.2024.378778.1007869</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Yari</LastName>
<Affiliation>1 Blood Transfusion Research Center, High Institute for Research and Education in Transfusion, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Sabaghi</LastName>
<Affiliation>1 Blood Transfusion Research Center, High Institute for Research and Education in Transfusion, Tehran, Islamic Republic of Iran
2 Hematology Department, Faculty of Allied Medicine, Iran University of Medical Science, Hemmat Highway, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Nadia</FirstName>
					<LastName>Bagheri</LastName>
<Affiliation>1 Blood Transfusion Research Center, High Institute for Research and Education in Transfusion, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Teimurpour</LastName>
<Affiliation>1 Blood Transfusion Research Center, High Institute for Research and Education in Transfusion, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Zaman-Vaziri</LastName>
<Affiliation>1 Blood Transfusion Research Center, High Institute for Research and Education in Transfusion, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Farzaneh</FirstName>
					<LastName>Mortezapour Barfi</LastName>
<Affiliation>1 Blood Transfusion Research Center, High Institute for Research and Education in Transfusion, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Sobhani</LastName>
<Affiliation>1 Blood Transfusion Research Center, High Institute for Research and Education in Transfusion, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>This research included 2064 individuals from various ethnic groups in Iran, all hematopoietic stem cell donors. The primary goal of this research was to establish an HLA database and assess genetic diversity across different ethnicities. DNA was extracted using the magnetic method, and HLA-typing was performed at a low-resolution level using the PCR-SSP method. The results were analyzed manually by independent experts as well as through software. HLA data from four ethnic groups, including Gilak (n=510), Lur (n=465), Kurdish (n=719), and Arab (n=370), were examined for associations between alleles and ethnicity. Allele frequencies were assessed through statistical methods to identify significant relationships, with the significance level set at 0.05. Additionally, standardized residuals were calculated to determine which ethnic groups exhibited allele frequencies that exceeded expected values based on assumptions of independence. Among HLA-B alleles, HLA-B*35 and HLA-B*51 were found to have the highest frequencies, while HLA-B*67, *78, *81, *82, and *83 were absent in this research. Significant differences were observed in 17 alleles across the ethnic groups for HLA-B, with P&lt; 0.05. Standardized residuals exceeding a threshold of 2 indicated statistically significant deviations between observed and expected values at the 0.05 significance level. All analyses were conducted using R software. Determining HLA allele frequencies helps identify similarities and differences among ethnic groups. This information can assist in developing donor services strategies in Iran&#039;s diverse regions and establishing stem cell registries. In the future, this data may also contribute to clinical applications in transplantation, vaccine development, and infectious disease research.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">donors</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ethnicity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Iran</Param>
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<ArchiveCopySource DocType="pdf">https://jsciences.ut.ac.ir/article_103563_1edbbec4c484a18c08094d20a82ffbb6.pdf</ArchiveCopySource>
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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>On Projection Invariant Rickart Modules</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>321</FirstPage>
			<LastPage>328</LastPage>
			<ELocationID EIdType="pii">104292</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jsciences.2025.379598.1007873</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Yaser</FirstName>
					<LastName>Maleki</LastName>
<Affiliation>1 Department of Pure Mathematics, Faculty of Mathematical Sciences, Tarbiat Modares University, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ahmad</FirstName>
					<LastName>Moussavi</LastName>
<Affiliation>1 Department of Pure Mathematics, Faculty of Mathematical Sciences, Tarbiat Modares University, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Yeliz</FirstName>
					<LastName>Kara</LastName>
<Affiliation>Bursa Uludag University,
Faculty of Arts and Science,
Department of Mathematics,
16059 Gorukle, Bursa/TURKEY</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>This study examined π-Rickart modules, a module-theoretic analog of π-Rickart rings, from the perspective of their endomorphism rings. It is shown that π-Rickart conditions are located between π-e. Baer and p.q.-Baer conditions, and it is established that the corresponding endomorphism ring possesses the appropriate π-Rickart property. Besides, the notion of π-e.AIP modules is presented. Furthermore, connections to the aforementioned concepts of π-Rickart, endo-AIP, and π-e.AIP modules are examined.</Abstract>
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			<Param Name="value">Annihilators</Param>
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			<Object Type="keyword">
			<Param Name="value">Rickart modules</Param>
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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A New Bivariate Shock Model Covering All Degrees of Dependencies</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>329</FirstPage>
			<LastPage>339</LastPage>
			<ELocationID EIdType="pii">103562</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jsciences.2025.386313.1007899</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hossienali</FirstName>
					<LastName>Mohtashami-Borzadaran</LastName>
<Affiliation>Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hadi</FirstName>
					<LastName>Jabbari Nooghabi</LastName>
<Affiliation>Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Amini</LastName>
<Affiliation>Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>12</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>This paper presents a bivariate distribution that improves the Marshall-Olkin exponential shock model. The new construction method enhances the model’s capacity to include a common joint shock across components, making it especially suitable for reliability and credit risk assessments. The model features a single component and supports negative dependence structures. We investigate the key dependence properties and conduct a stress-strength analysis. After evaluating the performance of the parameter estimator,  chemical engineering data is analyzed.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Marshall-Olkin model</Param>
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			<Object Type="keyword">
			<Param Name="value">Shock model</Param>
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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Modeling Mortality in Heart Failure Patients: Considering Time-Varying Effects - A Bayesian Survival Analysis Utilizing Bayesian AFT Model with the INLA Method</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>341</FirstPage>
			<LastPage>349</LastPage>
			<ELocationID EIdType="pii">103001</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jsciences.2025.379754.1007872</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>VIJAYAN</FirstName>
					<LastName>S</LastName>
<Affiliation>Department of Statistics, Periyar University, Salem, Tamil Nadu, India</Affiliation>
<Identifier Source="ORCID">0009-0008-2614-8421</Identifier>

</Author>
<Author>
					<FirstName>KAVITHA</FirstName>
					<LastName>S</LastName>
<Affiliation>Department of Statistics, Periyar University, Salem, Tamil Nadu, India</Affiliation>

</Author>
<Author>
					<FirstName>Saranya</FirstName>
					<LastName>V</LastName>
<Affiliation>Department of Statistics, Periyar University, Salem, Tamil Nadu, India</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>Heart failure and disease ranks among the most common illnesses globally. Heart failure is a condition where the heart cannot pump blood efficiently, posing a growing global public health challenge with a high mortality rate. This study aimed to identify factors influencing the survival time of heart failure patients. Using secondary data, 299 heart failure patients were studied based on medical records from a 12-month enrollment period. The analysis employed Kaplan-Meier plots and Bayesian parametric survival models, utilizing SPSS and R software, with Integrated Nested Laplace Approximation methods. The Bayesian lognormal accelerated failure time model was deemed appropriate based on model selection criteria. The results indicated that factors such as age, gender, height, systolic and diastolic blood pressure, smoking, alcohol consumption, and the presence of heart disease significantly affected survival times. Cholesterol levels notably impacted survival outcomes in older patients. The Bayesian Weibull accelerated failure time model also described the survival data well. The study&#039;s findings suggested that the age groups 59 to 95 and above were most affected by heart failure, significantly impacting survival time.</Abstract>
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			<Param Name="value">Heart failure</Param>
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			<Param Name="value">Kaplan-Meier</Param>
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			<Param Name="value">survival time</Param>
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			<Object Type="keyword">
			<Param Name="value">INLA</Param>
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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Preparation of Polymer Nanocomposites Containing Multiwall Carbon Nanotubes Functionalized by Chloroform Plasma</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>351</FirstPage>
			<LastPage>357</LastPage>
			<ELocationID EIdType="pii">103003</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jsciences.2025.367159.1007834</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fathollah</FirstName>
					<LastName>Pourfayaz</LastName>
<Affiliation>School of Energy and Sustainable Resources Engineering, College of Interdisciplinary Science and Technology, University of Tehran, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Gholami</LastName>
<Affiliation>School of Energy and Sustainable Resources Engineering, College of Interdisciplinary Science and Technology, University of Tehran, Tehran, Islamic Republic of Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>10</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>The carbon nanotubes (CNTs) can more efficiently enhance the polymer properties than the other nanofillers due to their unique physical and chemical properties. However, the good dispersion of carbon nanotubes into the polymer matrices is challenging because the CNTs tend to form bundles and agglomerate due to strong van der Waals interactions between the nanotubes. The functionalization of carbon nanotubes can help solve this problem and lead to the good dispersion of CNTs in polymers. In this study, the multiwall carbon nanotubes (MWCNTs) were functionalized using dielectric barrier discharge plasma in helium saturated with chloroform. Then, the functionalized MWCNTs were used to prepare the polymer nanocomposites with a good dispersion state of nanotubes. Fourier transform infrared spectroscopy (FTIR) results showed that the MWCNTs&#039; surfaces are functionalized with the chlorinated group due to exposure of the MWCNTS to the plasma. Moreover, the optical microscopy images and measured rheological properties of the nanocomposites indicated that the plasma-functionalized MWCNTs are better distributed into the polymer matrix than the unfunctionalized MWCNTs. This confirmed that the plasma functionalization enhances the interactions between the MWCNTs and the polymer matrices.</Abstract>
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			<Param Name="value">Functionalization</Param>
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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Author Index</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
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			<Language>EN</Language>
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</AuthorList>
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				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>10</Month>
					<Day>19</Day>
				</PubDate>
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		<Abstract></Abstract>
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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Key words</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">104294</ELocationID>
			
			
			<Language>EN</Language>
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					<Year>2025</Year>
					<Month>10</Month>
					<Day>19</Day>
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		<Abstract></Abstract>
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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Sciences, Islamic Republic of Iran</JournalTitle>
				<Issn>1016-1104</Issn>
				<Volume>35</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Binder Fall 2024</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">104295</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
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				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>10</Month>
					<Day>19</Day>
				</PubDate>
			</History>
		<Abstract></Abstract>
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