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Diabetes risk assessment among squatter settlements in Pakistan: A cross-sectional study

Ishaque A, Shahzad F, Muhammad FH, Usman Y, Ishaque Z

Malays Fam Physician, 2016;11(2-3):9-15.
PMID: 28461852

INTRODUCTION: Diabetes mellitus (DM) has evolved as a major public health concern worldwide, as its prevalence is increasing exponentially. Pakistan now ranks seventh among the countries with the highest burden of DM. It is expected to become one of the major causes of morbidity within the next 25 years. Therefore, finding an effective way to identify individuals at risk of developing diabetes is a necessity. The Finnish Diabetes Risk Score (FINDRISC) has proved to be an effective noninvasive screening tool for identifying individuals at risk for developing diabetes. The objective of this study was to determine the frequency of individuals who are at risk for developing DM and their risk of developing DM over the next 10 years using the FINDRISC tool.
METHODS: A cross-sectional survey was conducted on 241 adults. The data were collected using the FINDRISC questionnaire followed by calculation of a summated score and analysis to determine the association between the risk factors under study and the risk of developing diabetes.
RESULTS: Out of 241 study participants, 137 (56.8%) were men and 104 (43.1%) were women. Our study showed that 129 (53.5%) participants had low risk, 68 (28.2%) had slightly elevated risk, 27 (11.2%) had moderate risk and 17 (7%) had high risk of developing DM.
CONCLUSION: The general population should be educated about the importance of healthy lifestyle, with special emphases on maintaining an ideal body mass index and a low-risk waist circumference, along with daily fruit and vegetable intake and physical activity of at least 30 min/day.
Linking job crafting, innovation performance, and career satisfaction: The mediating role of work engagement

Rafiq M, Farrukh M, Attiq S, Shahzad F, Khan I

Work, 2023;75(3):877-886.
PMID: 36683474 DOI: 10.3233/WOR-211363

BACKGROUND: The demand for innovation and satisfaction is increasing rapidly due to technological advancement and the fast-changing business environment.
OBJECTIVE: The purpose of this article is to investigate how job crafting augments work outputs (i.e., innovation performance and career satisfaction) through work engagement.
METHODS: Data were collected from 477 workers working in the Pakistan manufacturing sector. A structural equation modeling technique was used to investigate the mediation model.
RESULTS: Job crafting has a direct and indirect association with innovation performance and career satisfaction - via employees' work engagement. Additionally, the mediating impact was stronger for innovation performance than for career satisfaction. The findings advocate that managers should pay attention to employees' job crafting to improve employees' work engagement in manufacturing organizations. To improve employees' innovation performance and career satisfaction via work engagement, it is important to improve organization-wide job crafting in traditional manufacturing organizations. Strategic and managerial actions related to job crafting might boost employees' engagement in the organization that environments provide incessantly better outcomes.
CONCLUSION: By linking job crafting and work engagement to their attitude towards career satisfaction and innovation performance in Pakistani manufacturing firms, this study adds a new dimension to the study of Pakistani manufacturing employees and typically to the best practices in career debates. This knowledge is important and unique because it accentuates that in addition to work engagement, which focuses primarily on employee growth in the organization, job crafting should also be given equal importance to advance manufacturing employees' outcomes.
Resolution of coronavirus disease 2019 (COVID-19)

Habas K, Nganwuchu C, Shahzad F, Gopalan R, Haque M, Rahman S, et al.

Expert Rev Anti Infect Ther, 2020 12;18(12):1201-1211.
PMID: 32749914 DOI: 10.1080/14787210.2020.1797487

INTRODUCTION: Coronavirus disease 2019 (COVID-19) was first detected in China in December, 2019, and declared as a pandemic by the World Health Organization (WHO) on March 11, 2020. The current management of COVID-19 is based generally on supportive therapy and treatment to prevent respiratory failure. The effective option of antiviral therapy and vaccination are currently under evaluation and development.
AREAS COVERED: A literature search was performed using PubMed between December 1, 2019-June 23, 2020. This review highlights the current state of knowledge on the viral replication and pathogenicity, diagnostic and therapeutic strategies, and management of COVID-19. This review will be of interest to scientists and clinicians and make a significant contribution toward development of vaccines and targeted therapies to contain the pandemic.
EXPERT OPINION: The exit strategy for a path back to normal life is required, which should involve a multi-prong effort toward development of new treatment and a successful vaccine to protect public health worldwide and prevent future COVID-19 outbreaks. Therefore, the bench to bedside translational research as well as reverse translational works focusing bedside to bench is very important and would provide the foundation for the development of targeted drugs and vaccines for COVID-19 infections.
Fulltext The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China

Yue L, Xue D, Draz MU, Ahmad F, Li J, Shahzad F, et al.

Int J Environ Res Public Health, 2020 01 09;17(2).
PMID: 31936543 DOI: 10.3390/ijerph17020446

Urbanization has made tremendous contributions to China's economic development since its economic reforms and opening up. At the same time, population agglomeration has aggravated environmental pollution and posed serious challenges to China's environment. This article empirically investigates the impacts of China's urbanization on eco-efficiency, comprehensively reflecting economic growth, resource input, and waste discharge. We first measured the provincial eco-efficiency in China from 2005 to 2015 using the Super Slack-Based model (Super-SBM). We then constructed a spatial model to empirically analyze the effects of urbanization on eco-efficiency at the national level, and at four regional levels. The results indicated that the regional eco-efficiency in China has fluctuated, but is generally improving, and that a gap between regions was evident, with a trend toward further gap expansion. We observed an effect of spatial spillover in eco-efficiency, which was significant and positive for the whole country, except for the western region. The influence of urbanization on China's eco-efficiency exhibited a U-curve relationship. The changing trend in the eastern, central, and western regions was the same as that in the whole country; however, the trend exhibited an inverted U-curve relationship in the northeastern region. To the best of our knowledge, covering a time period of 2005-2015, this article is the first of its kind to study the impact of urbanization on eco-efficiency in China at both the national and regional levels. This study may help policy-makers to create sustainable policies that could be helpful in balancing urbanization and the ecological environment.
Fulltext Perceived Threat of COVID-19 Contagion and Frontline Paramedics' Agonistic Behaviour: Employing a Stressor-Strain-Outcome Perspective

Shahzad F, Du J, Khan I, Fateh A, Shahbaz M, Abbas A, et al.

Int J Environ Res Public Health, 2020 Jul 15;17(14).
PMID: 32679748 DOI: 10.3390/ijerph17145102

Historically, infectious diseases have been the leading cause of human psychosomatic strain and death tolls. This research investigated the recent threat of COVID-19 contagion, especially its impact among frontline paramedics treating patients with COVID-19, and their perception of self-infection, which ultimately increases their agonistic behaviour. Based on the stressor-strain-outcome paradigm, a research model was proposed and investigated using survey-based data through a structured questionnaire. The results found that the perceived threat of COVID-19 contagion (emotional and cognitive threat) was positively correlated with physiological anxiety, depression, and emotional exhaustion, which led toward agonistic behaviour. Further, perceived social support was a key moderator that negatively affected the relationships between agonistic behaviour and physiological anxiety, depression, and emotional exhaustion. These findings significantly contributed to the current literature concerning COVID-19 and pandemic-related effects on human behaviour. This study also theorized the concept of human agonistic behaviour, which has key implications for future researchers.
Fulltext The improved thermal efficiency of Prandtl-Eyring hybrid nanofluid via classical Keller box technique

Jamshed W, Baleanu D, Nasir NAAM, Shahzad F, Nisar KS, Shoaib M, et al.

Sci Rep, 2021 Dec 07;11(1):23535.
PMID: 34876598 DOI: 10.1038/s41598-021-02756-4

Prandtl-Eyring hybrid nanofluid (P-EHNF) heat transfer and entropy generation were studied in this article. A slippery heated surface is used to test the flow and thermal transport properties of P-EHNF nanofluid. This investigation will also examine the effects of nano solid tubes morphologies, porosity materials, Cattaneo-Christov heat flow, and radiative flux. Predominant flow equations are written as partial differential equations (PDE). To find the solution, the PDEs were transformed into ordinary differential equations (ODEs), then the Keller box numerical approach was used to solve the ODEs. Single-walled carbon nanotubes (SWCNT) and multi-walled carbon nanotubes (MWCNT) using Engine Oil (EO) as a base fluid are studied in this work. The flow, temperature, drag force, Nusselt amount, and entropy measurement visually show significant findings for various variables. Notably, the comparison of P-EHNF's (MWCNT-SWCNT/EO) heat transfer rate with conventional nanofluid (SWCNT-EO) results in ever more significant upsurges. Spherical-shaped nano solid particles have the highest heat transport, whereas lamina-shaped nano solid particles exhibit the lowest heat transport. The model's entropy increases as the size of the nanoparticles get larger. A similar effect is seen when the radiative flow and the Prandtl-Eyring variable-II are improved.
Fulltext Thermal cooling efficacy of a solar water pump using Oldroyd-B (aluminum alloy-titanium alloy/engine oil) hybrid nanofluid by applying new version for the model of Buongiorno

Shahzad F, Jamshed W, Eid MR, Safdar R, Putri Mohamed Isa SS, El Din SM, et al.

Sci Rep, 2022 Nov 17;12(1):19817.
PMID: 36396776 DOI: 10.1038/s41598-022-24294-3

Solar radiation, which is emitted by the sun, is required to properly operate photovoltaic cells and solar water pumps (SWP). A parabolic trough surface collector (PTSC) installation model was created to investigate the efficacy of SWP. The thermal transfer performance in SWP is evaluated thru the presence of warmth radiation and heat cause besides viscid dissipation. This evaluation is performed by measuring the thermal transmission proportion of the selected warmth transmission liquid in the PTSC, known as a hybrid nano-fluid. Entropy analysis of Oldroyd-B hybrid nano-fluid via modified Buongiorno's model was also tested. The functions of regulating parameters are quantitatively observed by using the Keller-box approach in MATLAB coding. Short terms define various parameters for tables in velocity, shear pressure and temperature, gravity, and Nusselt numbers. In the condition of thermal radiation and thermal conductivity at room temperature, the competence of SWP is proven to be enhanced. Unlike basic nano-fluids, hybrid nano-fluids are an excellent source of heat transfer. Additionally, with at least 22.56% and 35.01% magnitude, the thermal efficiency of AA7075-Ti-6Al-4 V/EO is higher than AA7075-EO.
Fulltext Thermal growth in solar water pump using Prandtl-Eyring hybrid nanofluid: a solar energy application

Jamshed W, Nasir NAAM, Isa SSPM, Safdar R, Shahzad F, Nisar KS, et al.

Sci Rep, 2021 Sep 21;11(1):18704.
PMID: 34548554 DOI: 10.1038/s41598-021-98103-8

Nowadays, with the advantages of nanotechnology and solar radiation, the research of Solar Water Pump (SWP) production has become a trend. In this article, Prandtl-Eyring hybrid nanofluid (P-EHNF) is chosen as a working fluid in the SWP model for the production of SWP in a parabolic trough surface collector (PTSC) is investigated for the case of numerous viscous dissipation, heat radiations, heat source, and the entropy generation analysis. By using a well-established numerical scheme the group of equations in terms of energy and momentum have been handled that is called the Keller-box method. The velocity, temperature, and shear stress are briefly explained and displayed in tables and figures. Nusselt number and surface drag coefficient are also being taken into reflection for illustrating the numerical results. The first finding is the improvement in SWP production is generated by amplification in thermal radiation and thermal conductivity variables. A single nanofluid and hybrid nanofluid is very crucial to provide us the efficient heat energy sources. Further, the thermal efficiency of MoS2-Cu/EO than Cu-EO is between 3.3 and 4.4% The second finding is the addition of entropy is due to the increasing level of radiative flow, nanoparticles size, and Prandtl-Eyring variable.
Fulltext Retraction Note: A brief comparative examination of tangent hyperbolic hybrid nanofluid through a extending surface: numerical Keller-Box scheme

Jamshed W, Prakash M, Devi SSU, Ibrahim RW, Shahzad F, Nisar KS, et al.

Sci Rep, 2023 Apr 13;13(1):6099.
PMID: 37055498 DOI: 10.1038/s41598-023-33083-5
Fulltext Irreversibility analysis of hydromagnetic nanofluid flow past a horizontal surface via Koo-Kleinstreuer-Li (KKL) model

Hussain SM, Shahzad F, Katbar NM, Jamshed W, Eid MR, Kamel A, et al.

Heliyon, 2023 Jul;9(7):e17668.
PMID: 37483748 DOI: 10.1016/j.heliyon.2023.e17668

The goal of this research is to investigate the effects of Ohmic heating, heat generation, and viscous dissipative flow on magneto (MHD) boundary-layer heat transmission flowing of Jeffrey nanofluid across a stretchable surface using the Koo-Kleinstreuer-Li (KKL) model. Engine oil serves as the primary fluid and is suspended with copper oxide nanomolecules. The governing equations that regulate the flowing and heat transmission fields are partial-differential equations (PDEs) that are then converted to a model of non-linear ordinary differential equations (ODEs) via similarity transformation. The resultant ODEs are numerically resolved using a Keller box technique via MATLAB software that is suggested. Diagrams and tables are used to express the effects of various normal liquids, nanomolecule sizes, magneto parameters, Prandtl, Deborah, and Eckert numbers on the velocity field and temperature field. The outcomes display that the copper oxide-engine oil nanofluid has a lower velocity, drag force, and Nusselt number than the plain liquid, although the introduction of nanoparticles raises the heat. The heat transference rate is reduced by Eckert number, size of nanomolecules, and magneto parameter rising. Whilst, Deborah number is shown to enhance both the drag-force factor and the heat transfer rate. Furthermore, the discoveries reported are advantageous to upgrading incandescent lighting bulbs, heating, and cooling equipment, filament-generating light, energy generation, multiple heating devices, and other similar devices.
Fulltext A brief comparative examination of tangent hyperbolic hybrid nanofluid through a extending surface: numerical Keller-Box scheme

Jamshed W, Prakash M, Devi SSU, Ibrahim RW, Shahzad F, Nisar KS, et al.

Sci Rep, 2021 Dec 15;11(1):24032.
PMID: 34912014 DOI: 10.1038/s41598-021-03392-8

A novel hybrid nanofluid was explored in order to find an efficient heat-transmitting fluid to replace standard fluids and revolutionary nanofluids. By using tangent hyperbolic hybrid combination nanoliquid with non-Newtonian ethylene glycol (EG) as a basis fluid and a copper (Cu) and titanium dioxide (TiO2) mixture, this work aims to investigate the viscoelastic elements of the thermal transferring process. Flow and thermal facts, such as a slippery extended surface with magnetohydrodynamic (MHD), suction/injection, form factor, Joule heating, and thermal radiation effects, including changing thermal conductivity, were also integrated. The Keller-Box method was used to perform collective numerical computations of parametric analysis using governing equivalences. In the form of graphs and tables, the results of TiO2-Cu/EG hybrid nanofluid were compared to those of standard Cu/EG nanofluid in important critical physical circumstances. The entropy generation study was used to examine energy balance and usefulness for important physically impacting parameters. Detailed scrutiny on entropy development get assisted with Weissenberg number, magnetic parameter, fractional volumes, injection parameter, thermal radiation, variable thermal conductivity, Biot number, shape variation parameter, Reynolds and Brinkman number. Whereas the entropy gets resisted for slip and suction parameter. In this case, spotted entropy buildup with important parametric ranges could aid future optimization.
Fulltext Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data

Hussain K, Mehmood K, Anees SA, Ding Z, Muhammad S, Badshah T, et al.

Heliyon, 2024 Jul 30;10(14):e34710.
PMID: 39148982 DOI: 10.1016/j.heliyon.2024.e34710

The increasing pressures of urban development and agricultural expansion have significant implications for land use and land cover (LULC) dynamics, particularly in ecologically sensitive regions like the Murree and Kotli Sattian tehsils of the Rawalpindi district in Pakistan. This study's primary objective is to assess spatial variations within each LULC category over three decades (1992-2023) using cross-tabulation in ArcGIS to identify changes in LULC and investigates into forest fragmentation analysis using the Landscape Fragmentation Tool (LFTv2.0) to classify forest into several classes such as patch, edge, perforated, small core, medium core, and large core. Utilizing remote sensing data from Landsat 5 and Landsat 9 satellites, the research focuses on the temporal dynamics in various land classes including Coniferous Forest (CF), Evergreen Forest (EF), Arable Land (AR), Buildup Area (BU), Barren Land (BA), Water (WA), and Grassland (GL). The Support Vector Machine (SVM) classifier and ArcGIS software were employed for image processing and classification, ensuring accuracy in categorizing different land types. Our results indicate a notable reduction in forested areas, with Coniferous Forest (CF) decreasing from 363.9 km2, constituting 45.0 % of the area in 1992, to 291.5 km2 (36.0 %) in 2023, representing a total decrease of 72.4 km2. Similarly, Evergreen Forests have also seen a significant reduction, from 177.9 km2 (22.0 %) in 1992 to 99.8 km2 (12.3 %) in 2023, a decrease of 78.1 km2. The study investigates into forest fragmentation analysis using the Landscape Fragmentation Tool (LFTv2.0), revealing an increase in fragmentation and a decrease in large core forests from 20.3 % of the total area in 1992 to 7.2 % in 2023. Additionally, the patch forest area increased from 2.4 % in 1992 to 5.9 % in 2023, indicating significant fragmentation. Transition matrices and a Sankey diagram illustrate the transitions between different LULC classes, providing a comprehensive view of the dynamics of land-use changes and their implications for ecosystem services. These findings highlight the critical need for robust conservation strategies and effective land management practices. The study contributes to the understanding of LULC dynamics and forest fragmentation in the Himalayan region of Pakistan, offering insights essential for future land management and policymaking in the face of rapid environmental changes.

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