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  1. Article: Comparison of residual silicone oil index after removal of silicone oil with fluid-air versus oil-fluid exchange.

    Rizwan, Amna / Javaid, Rana Muhammad Mohsin / Latif, Sidrah / Sarwar, Muhammad Suhail / Khan, Asad Aslam

    Pakistan journal of medical sciences

    2023  Volume 39, Issue 2, Page(s) 439–443

    Abstract: Objectives: To compare the effectiveness of fluid-air exchange with silicone oil-fluid exchange in reducing the residual silicone oil (SO) droplets after the removal of SO.: Methods: This was a prospective, quasi-experimental study conducted from ... ...

    Abstract Objectives: To compare the effectiveness of fluid-air exchange with silicone oil-fluid exchange in reducing the residual silicone oil (SO) droplets after the removal of SO.
    Methods: This was a prospective, quasi-experimental study conducted from October 2021 to February 2022 at Eye Unit-III, COAVS, Mayo Hospital, Lahore. Sixty-one patients with siliconized eyes underwent removal of SO with two different techniques and were divided into fluid-air exchange and oil-fluid exchange groups. To quantify the residual silicone droplets objectively, B-scan echographic images were analyzed within seven days of surgery. Silicone oil index (SOI) which is the amount of residual SO droplets/vitreal area in the images was calculated with the help of imagej software.
    Results: The residual SOI of the fluid-air exchange group (0.99 ± 1.76%) was significantly lower than the oil-fluid exchange group (3.25 ± 3.85%). The SOI is positively correlated with the duration of tamponade, preoperative intraocular- pressure and axial length. Persistent IOP elevation post-operatively was seen in 16.67% individuals in the fluid-air exchange group and 54.8% individuals in the oil-fluid exchange group.
    Conclusion: Fluid-air exchange group was found to be superior in reducing residual SO droplets than the oil-fluid exchange group.
    Language English
    Publishing date 2023-01-14
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 2032827-8
    ISSN 1681-715X ; 1682-024X ; 1017-4699
    ISSN (online) 1681-715X
    ISSN 1682-024X ; 1017-4699
    DOI 10.12669/pjms.39.2.6243
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3948: Show issues Location:
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  2. Article ; Online: Systemic risk: The impact of COVID-19.

    Rizwan, Muhammad Suhail / Ahmad, Ghufran / Ashraf, Dawood

    Finance research letters

    2020  Volume 36, Page(s) 101682

    Abstract: Banking sectors across the globe are under immense stress due to the evolving COVID-19 situation and policy responses thereto. This study investigates how COVID-19 impacted the systemic risk in the banking sectors of eight of the most COVID-19 affected ... ...

    Abstract Banking sectors across the globe are under immense stress due to the evolving COVID-19 situation and policy responses thereto. This study investigates how COVID-19 impacted the systemic risk in the banking sectors of eight of the most COVID-19 affected countries. We find a significant increase in systemic risk among the sample countries initially, while stagnancy (at an elevated level) is observed during April 2020 except for China, which is showing some recovery. By using spillover measures, we also identify systemically important institutions. The findings of this study testify to the benefits of policy responses in containing systemic risk.
    Keywords covid19
    Language English
    Publishing date 2020-07-04
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1544-6131
    ISSN (online) 1544-6131
    DOI 10.1016/j.frl.2020.101682
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  3. Article ; Online: Systemic risk

    Rizwan, Muhammad Suhail / Ahmad, Ghufran / Ashraf, Dawood

    Finance Research Letters

    The impact of COVID-19

    2020  Volume 36, Page(s) 101682

    Keywords Finance ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ISSN 1544-6123
    DOI 10.1016/j.frl.2020.101682
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Screening for malnutrition in oral cavity cancer patients prior to treatment: A cross-sectional study.

    Iftikhar, Haissan / Suhail, Anwar / Urooba, Amna / Nathani, Karim Rizwan / Shaikh, Zeeshan / Wasif, Muhammad

    JPMA. The Journal of the Pakistan Medical Association

    2021  Volume 71, Issue 1(A), Page(s) 122–123

    Abstract: This study was conducted to assess the frequency of pre-operative malnourishment in patients being treated for oral cavity squamous cell carcinoma. A retrospective chart review was carried out at the Aga Khan University Hospital, Karachi, on 62 patients. ...

    Abstract This study was conducted to assess the frequency of pre-operative malnourishment in patients being treated for oral cavity squamous cell carcinoma. A retrospective chart review was carried out at the Aga Khan University Hospital, Karachi, on 62 patients. Patients were screened pre-operatively through a standard nutritional assessment tool at the time of admission to assess for malnutrition. Mean age of presentation was 48.34±13.11 years, mean height was 165 ± 8.62cm, weight 66.09±14.98 kg and BMI of 24.09±4.84. Males were 82.3% and 17.7% were females. At the time of admission, a significant number or patients, 12 (19.4%) were prone to malnourishment, while 3 (4.8%) patients were malnourished: Assessment was done by using a standardised nutritional assessment tool.
    MeSH term(s) Adult ; Cross-Sectional Studies ; Early Detection of Cancer ; Female ; Humans ; Male ; Malnutrition/diagnosis ; Malnutrition/epidemiology ; Mass Screening ; Middle Aged ; Mouth ; Neoplasms ; Nutrition Assessment ; Nutritional Status ; Retrospective Studies
    Language English
    Publishing date 2021-01-23
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 603873-6
    ISSN 0030-9982
    ISSN 0030-9982
    DOI 10.47391/JPMA.243
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 845: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  5. Article ; Online: Simulation of Light Distribution in Gamma Irradiated UHMWPE Using Monte Carlo Model for Light (MCML) Transport in Turbid Media: Analysis for Industrial Scale Biomaterial Modifications.

    Rizwan, Ali / Saleem, Muhammad / Serbaya, Suhail H / Alsulami, Hemaid / Ghazal, Aqsa / Mehmood, Malik Sajjad

    Polymers

    2021  Volume 13, Issue 18

    Abstract: 1) Background: This study investigated the miscibility of carbon-based fillers within industrial scale polymers for the preparation of superior quality polymer composites. It focuses on finding the light distribution in gamma irradiated ultra-high ... ...

    Abstract (1) Background: This study investigated the miscibility of carbon-based fillers within industrial scale polymers for the preparation of superior quality polymer composites. It focuses on finding the light distribution in gamma irradiated ultra-high molecular weight polyethylene (UHMWPE). (2) Methods: The Kubleka-Munk model (KMM) was used to extract the optical properties, i.e., absorption coefficients (μ
    Language English
    Publishing date 2021-09-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527146-5
    ISSN 2073-4360 ; 2073-4360
    ISSN (online) 2073-4360
    ISSN 2073-4360
    DOI 10.3390/polym13183039
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  6. Article ; Online: Systemic Risk

    Rizwan, Muhammad Suhail / Ahmad, Ghufran / Ashraf, Dawood

    SSRN Electronic Journal ; ISSN 1556-5068

    The Impact of COVID-19

    2020  

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.2139/ssrn.3615161
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Islamic Equity Investments and the COVID-19 Pandemic

    Ashraf, Dawood / Rizwan, Muhammad Suhail / Ahmad, Ghufran

    SSRN Electronic Journal ; ISSN 1556-5068

    2020  

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.2139/ssrn.3611898
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Evaluating data-driven methods for short-term forecasts of cumulative SARS-CoV2 cases.

    Ahmad, Ghufran / Ahmed, Furqan / Rizwan, Muhammad Suhail / Muhammad, Javed / Fatima, Syeda Hira / Ikram, Aamer / Zeeb, Hajo

    PloS one

    2021  Volume 16, Issue 5, Page(s) e0252147

    Abstract: Background: The WHO announced the epidemic of SARS-CoV2 as a public health emergency of international concern on 30th January 2020. To date, it has spread to more than 200 countries and has been declared a global pandemic. For appropriate preparedness, ... ...

    Abstract Background: The WHO announced the epidemic of SARS-CoV2 as a public health emergency of international concern on 30th January 2020. To date, it has spread to more than 200 countries and has been declared a global pandemic. For appropriate preparedness, containment, and mitigation response, the stakeholders and policymakers require prior guidance on the propagation of SARS-CoV2.
    Methodology: This study aims to provide such guidance by forecasting the cumulative COVID-19 cases up to 4 weeks ahead for 187 countries, using four data-driven methodologies; autoregressive integrated moving average (ARIMA), exponential smoothing model (ETS), and random walk forecasts (RWF) with and without drift. For these forecasts, we evaluate the accuracy and systematic errors using the Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE), respectively.
    Findings: The results show that the ARIMA and ETS methods outperform the other two forecasting methods. Additionally, using these forecasts, we generate heat maps to provide a pictorial representation of the countries at risk of having an increase in the cases in the coming 4 weeks of February 2021.
    Conclusion: Due to limited data availability during the ongoing pandemic, less data-hungry short-term forecasting models, like ARIMA and ETS, can help in anticipating the future outbreaks of SARS-CoV2.
    MeSH term(s) COVID-19/epidemiology ; Data Science/methods ; Data Science/standards ; Humans ; Models, Statistical ; Practice Guidelines as Topic ; Software/standards
    Language English
    Publishing date 2021-05-21
    Publishing country United States
    Document type Evaluation Study ; Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0252147
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  9. Article ; Online: A Preliminary Analysis of the Perception Gap between Employers and Vocational Students for Career Sustainability

    Ali Rizwan / Suhail H. Serbaya / Muhammad Saleem / Hemaid Alsulami / Dimitrios A. Karras / Zobia Alamgir

    Sustainability, Vol 13, Iss 11327, p

    2021  Volume 11327

    Abstract: 1) Background: Nowadays, technological advancement plays a key role in the economic uplift of developing countries, and it is paramount that the youth of these countries are well-equipped with both vocational and technical skills to bring about ... ...

    Abstract (1) Background: Nowadays, technological advancement plays a key role in the economic uplift of developing countries, and it is paramount that the youth of these countries are well-equipped with both vocational and technical skills to bring about sustainability in their careers. (2) Methods: The present study aims to investigate the perception gap between vocational students and industrial employers with regard to employability skills. In this regard, data were collected from 683 vocational students from urban/rural areas studying in the public/private vocational institutions of a developing country. Similarly, 82 vocational employers were contacted about their perception of employability skills. A questionnaire comprising 20 questions was administered online to both students and employers for registering their responses. Data were analyzed with the help of descriptive statistics, interval plots, and an Ishikawa diagram. (3) Results: The findings reveal that vocational employers give maximum importance to interpersonal, technical, and entrepreneurial skills, while students perceive that their technical and computing skills are vital for sustainable careers. Similarly, the rural/public students showed minimum levels of competency in these skills as compared with their counterparts living in rural areas and studying in the private institutions. Furthermore, structured interviews were conducted with the concerned stakeholders to develop a remedial framework for the sustainable careers of these vocational students. (4) Conclusions: The results of the study not only bring sustainability to the vocational sector of developing countries, but to all those countries enjoying similar socioeconomic backgrounds.
    Keywords vocational education ; sustainable future ; career development ; technical skills ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 370
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Simulation of Light Distribution in Gamma Irradiated UHMWPE Using Monte Carlo Model for Light (MCML) Transport in Turbid Media

    Ali Rizwan / Muhammad Saleem / Suhail H. Serbaya / Hemaid Alsulami / Aqsa Ghazal / Malik Sajjad Mehmood

    Polymers, Vol 13, Iss 3039, p

    Analysis for Industrial Scale Biomaterial Modifications

    2021  Volume 3039

    Abstract: 1) Background: This study investigated the miscibility of carbon-based fillers within industrial scale polymers for the preparation of superior quality polymer composites. It focuses on finding the light distribution in gamma irradiated ultra-high ... ...

    Abstract (1) Background: This study investigated the miscibility of carbon-based fillers within industrial scale polymers for the preparation of superior quality polymer composites. It focuses on finding the light distribution in gamma irradiated ultra-high molecular weight polyethylene (UHMWPE). (2) Methods: The Kubleka–Munk model (KMM) was used to extract the optical properties, i.e., absorption coefficients (μ a ) and scattering coefficients (μ s ). Samples amounting to 30 kGy and 100 kGy of irradiated (in the open air) UHMWPE from 630 nm to 800 nm were used for this purpose. Moreover, theoretical validation of experimental results was performed while using extracted optical properties as inputs for the Monte Carlo model of light transport (MCML) code. (3) Conclusions: The investigations revealed that there was a significant decrease in absorption and scattering coefficient (μ a & μ s ) values with irradiation, and 30 kGy irradiated samples suffered more compared to 100 kGy irradiated samples. Furthermore, the simulation of light transport for 800 nm showed an increase in penetration depth for UHMWPE after gamma irradiation. The decrease in dimensionless transport albedo <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><mfrac bevelled="true"><mrow><msub><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">s</mi></msub></mrow><mrow><mo stretchy="false">(</mo><msub><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">a</mi></msub><mo>+</mo><msub><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">s</mi></msub><mo stretchy="false">)</mo></mrow></mfrac></mrow></semantics></math> from 0.95 to 0.93 was considered responsible for this increase in photon absorption per unit area with irradiation. The report results are of particular ...
    Keywords UHMWPE ; chain mobility ; photon distribution ; Kubleka–Munk model ; Monte Carlo simulation ; gamma irradiations ; Organic chemistry ; QD241-441
    Subject code 535
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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