37 results match your criteria: "University of Central Punjab UCP[Affiliation]"

The present study investigated the (i) socio-demographic predictors of psychological distress, (ii) socio-demographic predictors of satisfaction from online classes, and (iii) the relationship between psychological distress and satisfaction from online classes among university students of Pakistan during the COVID-19 pandemic. An online questionnaire-based survey was conducted. A total of 2220 respondents that was enrolled at the University of the Punjab (PU), University of Management and Technology (UMT), and the University of Central Punjab (UCP) were involved in the current study.

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The trend of consuming food high in calories, fat, and sugar with little nutritional value and reduced physical exercise has resulted in an alarming ratio of overweight and obese subjects worldwide. Low-grade chronic inflammation is the key feature of obesity that causes an increase in pro-inflammatory cytokines and decrease in anti-inflammatory cytokines in circulation. The current study was aimed to investigate the effect of high-fat diet on the architecture of spleen, liver, and skeletal muscle and changes in the expression of hepatic cytokines.

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Myeloid differentiation 88 (MyD88) is a well-established inflammatory adaptor protein. It is one of the essential downstream proteins of the toll-like receptor 4 (TLR4) signaling pathway. TLRs are pattern recognition receptors that are usually activated by the damage-associated molecular pattern molecules (DAMPs).

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Institutional quality and CO2 emission-output relations: The case of Asian countries.

J Environ Manage

February 2021

Department of Economics, Faculty of Arts and Social Sciences, University of Central Punjab (UCP) Avenue 1, Khayaban-e-Jinnah Road, Johar Town, Lahore, Pakistan. Electronic address:

Although Asian economies have registered strong economic growth over the last few decades, their growing pollution emissions raise concerns among the policymakers about the sustainability of this output growth. This paper tests the causal relationship between economic development, energy consumption, trade openness, financial development, FDI, government expenditures, institutional quality. and pollution emissions for 41 Asian economies from 1996 to 2015.

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A Novel Homozygous Frameshift Variant in Causing Dyggve-Melchior-Clausen Syndrome in Pakistani Patients.

Front Pediatr

July 2020

Center for Research in Molecular Medicine (CRiMM), Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore, Lahore, Pakistan.

Dyggve-Melchior-Clausen syndrome (DMC) is a skeletal dysplasia with associated defects of brain development and intelligence. The truncating pathogenic variants in are the most frequent cause of DMC. Smith-McCort (SMC), another skeletal dysplasia, is also caused by non-synonymous variants.

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Exceptional precautionary measures have been adopted to stop the transmission and control of COVID-19 through the world and Pakistan is facing lockdown in this scenario. Public loyalty to precautionary measures is affected by their knowledge, attitude, risk factors and practices (KAP) towards COVID-19. The present study was conducted among the Pakistani residents to observe the knowledge, attitude, practices and risk factors towards COVID-19 outbreak in Pakistan.

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Deleterious Variants in , and Causing Isolated and Syndromic Tooth Agenesis: A Structural Perspective from Molecular Dynamics Simulations.

Int J Mol Sci

October 2019

Institute of Molecular Biology and Biotechnology (IMBB), Center for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore 54000, Pakistan.

The dental abnormalities are the typical features of many ectodermal dysplasias along with congenital malformations of nails, skin, hair, and sweat glands. However, several reports of non-syndromic/isolated tooth agenesis have also been found in the literature. The characteristic features of hypohidrotic ectodermal dysplasia (HED) comprise of hypodontia/oligodontia, along with hypohidrosis/anhidrosis, and hypotrichosis.

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A novel pathogenic missense variant in CNNM4 underlying Jalili syndrome: Insights from molecular dynamics simulations.

Mol Genet Genomic Med

September 2019

Institute of Molecular Biology and Biotechnology (IMBB), Centre for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan.

Background: Jalili syndrome (JS) is a rare cone-rod dystrophy (CRD) associated with amelogenesis imperfecta (AI). The first clinical presentation of JS patients was published in 1988 by Jalili and Smith. Pathogenic mutations in the Cyclin and CBS Domain Divalent Metal Cation Transport Mediator 4 (CNNM4) magnesium transporter protein have been reported as the leading cause of this anomaly.

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Progressive pseudorheumatoid dysplasia (PPRD) inherited in an autosomal recessive fashion, is a disabling disease, characterized by platyspondyly, irregularities of the vertebral bodies, narrowing of the intervertebral discs and intraarticular spaces, widening of the epiphysis-metaphysis, polyarthralgia, multiple joint contractures, and disproportionate short stature. A number of studies have been performed on this deformity in various populations around the globe, including the Arab population. Mutations in , located on 6q22, are reported to cause this anomaly.

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Background: Aggressive behavior of tumor metastasis comes from certain mutations, changes in cellular metabolic and signaling pathways that are majorly altered by tumor microenvironment (TME), its other components and growth factors like transforming growth factor-β1 (TGF-β1) which is chiefly known for its epithelial to mesenchymal transformation (EMT). EMT is a critical step of metastasis cascade in actual human lung cancer scenario.

Objective: Our present study is focused on unveiling the in-vivo metastatic behavior of TGF-β1 treated lung cancer cells that undergo EMT.

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The main objective of this study is to find out the importance of machine vision approach for the classification of five types of land cover data such as bare land, desert rangeland, green pasture, fertile cultivated land, and Sutlej river land. A novel spectra-statistical framework is designed to classify the subjective land cover data types accurately. Multispectral data of these land covers were acquired by using a handheld device named multispectral radiometer in the form of five spectral bands (blue, green, red, near infrared, and shortwave infrared) while texture data were acquired with a digital camera by the transformation of acquired images into 229 texture features for each image.

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