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        A correlation study between weather and atmosphere with COVID-19 pandemic in Islamabad, Pakistan

        Aslam Bilal,Khalil Umer,Azam Umar,Maqsoom Ahsen 대한공간정보학회 2021 Spatial Information Research Vol.29 No.4

        The present research aims to investigate the association amid weather and the most recent pandemic of COVID-19 in Islamabad, the capital of Pakistan. The source of COVID-19 surveillance data for the secondary data analysis was the Pakistan’s Ministry of National Health Services Regulations and Coordination. The weather data obtained from the Pakistan Metrological Department (PMD) was exercised in this research. The components of weather include wind speed (m/s), precipitation level (mm), normal, mean, maximum, and minimum temperature (C). For data analysis, a non-parametric correlation test was used due to the reason that normality was not satisfied. Precipitation level (r = - 0.285; p =0 .022), normal temperature (r = 0.293; p = 0.019) as well as the maximum temperature (r = 0.347; p = 0.005) were very much associated with COVID-19 virus. Pollution data (showing the concentration of NO2) of the specific region comprising the study area extracted from the Sentinel-5P satellite was also compared for the two years (2019 and 2020). Since the country will be entering to a new weather season, the conclusions may well assist the strategy and decision-makers in the deterrence of COVID-19.

      • Breast Cancer: Major Risk Factors and Recent Developments in Treatment

        Majeed, Wafa,Aslam, Bilal,Javed, Ijaz,Khaliq, Tanweer,Muhammad, Faqir,Ali, Asghar,Raza, Ahmad Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.8

        Breast cancer is the most common in women worldwide, with some 5-10% of all cases due to inherited mutations of BRCA1 and BRCA2 genes. Obesity, hormone therapy and use of alcohol are possible causes and over-expression of leptin in adipose tissue may also play a role. Normally surgery, radiation therapy and chemotherapy allow a good prognosis where screening measures are in place. New hope in treatment measures include adjuvant therapy, neoadjuvant therapy, and introduction of mono-clonal antibodies and enzyme inhibitors.

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        In-vitro evaluation of antimicrobial, antioxidant, alpha-amylase inhibition and cytotoxicity properties of Cannabis sativa

        Shah Syed Bilal,Sartaj Lubna,Hussain Shahid,Ullah Nabi,Idrees Muhammad,Shaheen Asma,Javed Muhammad Sufyan,Aslam Muhammad Kashif 경희대학교 융합한의과학연구소 2020 Oriental Pharmacy and Experimental Medicine Vol.20 No.2

        Cannabis sativa (C. sativa) is a widespread medicinal plant used for humans and cattles infectious diseases. The current study is carried out to assess phytochemical, antimicrobial, antioxidant, α-amylase inhibition and cytotoxic activity of the Cannabis sativa plant. An appropriate amount of phytochemicals like tannins, flavonoids, lycopene, and β-carotenes is found in C. sativa plant during the phytochemical screening. Among these phytochemicals of C. sativa plant, tannin shows outstanding activity. The plant extracts are assessed for antimicrobial activity against different seven bacterial strains. Notably, the stem part of C. sativa is found to exhibit higher antimicrobial potential than root and leaf. Among the extracts, the antioxidant assays (evaluated through % inhibition of linoleic acid peroxidation assessment) of n-hexane extract of leaf part was highest (80.70%) compared to the others. The plant also contains a potent α-amylase inhibitory potential, the root extract shows maximum inhibition of α-amylase. The cytotoxic effect [evaluated through hemolytic activity as (%) lysis of RBCs against human erythrocytes] of the plant extracts is found insignificant ranging from 1.97 to 5.88. The plant C. sativa keeps a significant amount of bioactive phenolic combinations accompanied by high antimicrobial and antioxidant activities.

      • Gastric Carcinoma: Recent Trends in Diagnostic Biomarkers and Molecular Targeted Therapies

        Majeed, Wafa,Iftikhar, Asra,Khaliq, Tanweer,Aslam, Bilal,Muzaffar, Humaira,Atta, Komal,Mahmood, Aisha,Waris, Shahid Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.7

        Gastric cancer is generally associated with poor survival rates and accounts for a remarkable proportion of global cancer mortality. The prevalence of gastric carcinoma varies in different regions of world and across teh various ethnic groups. On the basis of pathological assessment, gastric cancer can be categorized as intestinal and diffuse carcinomas. The etiology is diverse, including chemical carcinogen exposure, and high salt intake Helicobacter pylori also plays a vital role in the pathogenesis of certain gastric carcinomas. The development of gastric cancer involves various alterations in mRNAs, genes (GOLPH3, MTA2) and proteins (Coronins). miRNAs, Hsa-mir-135b, MiR-21, miR-106b, miR-17, miR-18a, MiR-21, miR-106b, miR-17, miR-18a and MiRNA-375, miRNA-195-5p are the latest diagnostic biomarkers which can facilitate the early diagnosis of gastric carcinomas. Recent development in the treatment strategies for gastric carcinoma include the introduction of monoclonal antibodies, TKI inhibitors, inhibitors of PDGFR ${\beta}$, VEGFR-1, VEGFR-2, Anti-EGFR and anti-HER2 agents which can be applied along with conventional therapies.

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        Study of Non-Newtonian fluid flow in porous media at core scale using analytical approach

        Ryan Kurniawan Santoso,Iqbal Fauzi,Miftah Hidayat,Boni Swadesi,Bilal Maydika Aslam,Taufan Marhaendrajana 한국자원공학회 2018 Geosystem engineering Vol.21 No.1

        Characterizing in situ polymer rheology in porous media is critical before further implementation of polymer injection in oilfield. Polymer as non-Newtonian fluid has unique behavior whose viscosity changes over various shear rate. This behavior creates unsuitable conditions which can lead to ineffective sweep efficiency improvement. The challenging issue in characterizing the in situ polymer rheology is how to construct the in situ Power Law model since the in situ viscosity cannot be measured directly. In this study, we use an analytical model to construct the in situ Power Law model. The model combines material balance equation, modified Darcy equation for non-Newtonian fluid flow, and equation of state. The model is solved for early (transient) time and late (steady-state) time. Coreflooding results in Berea Sandstone with 2000 and 500 ppm HPAM polymer injection are used for model’s simulations. Rheometer measurements are also used for comparison. The overall simulation results show there is no difference in flow behavior index between rheometer and porous media. The same fluid definitely gives the same flow behavior index through different measurement methods. However, there is significant difference in flow consistency index. It is caused by the effect of porous media’s tortuosity. The quantity of the skin parameter also depicts the thinning and thickening phenomena.

      • KCI등재

        Spatial variations in COVID-19 risk perception and coping mechanism in Pakistan

        Irfan Ahmad Rana,Saad Saleem Bhatti,Junaid Ahmad,Atif Bilal Aslam,Ali Jamshed 대한공간정보학회 2023 Spatial Information Research Vol.31 No.3

        The outbreak of novel coronavirus disease (COVID-19) was declared a pandemic by the World Health Organization, which instigated governments to impose lockdowns across their countries. Amidst the lockdown in Pakistan, this study comprised measures of the COVID-19 risk perception, coping mechanism, and spatial variations. The data from 40 selected indicators was collected using an online questionnaire and grouped into domains (4 risk perception and 3 coping mechanisms domains). The results revealed the spatial variations and the levels of risk perception and coping mechanisms within the study area. Relative to each other, overall risk perception was highest in Northern Areas (Gilgit-Baltistan and Azad Jammu and Kashmir) and Islamabad, and lowest in Balochistan province. Very little spatial variation was observed in terms of coping mechanisms. Age, gender, and marital status influenced the risk perception associated with COVID-19. The findings suggest spatial variation in risk perception, implying the need for localized and modified COVID-19 risk communication and risk reduction strategies.

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