17 research outputs found
Rule based inference engine to forecast the prevalence of congenital malformations in live births
No full textImpact of Changing Profile of Rural Land Market in Pakistan on Resource Allocation and Equity
No full textAgricultural impact
Descriptive Epidemiology And Clinical Attributes Of Beta-Thalassemia In Upper Sindh Region Of Pakistan
No full textObjective: Thalassemia is a hereditary blood disorder that affects hemoglobin synthesis, leading to anemia and other complications. This study investigated the demographic, clinical, therapeutic, and familial characteristics of beta-thalassemia patients from the upper Sindh region of Pakistan.
Methods: Through an observational cross-sectional study design, thalassemia patients registered at local hospitals and transfusion centers in upper Sindh, Pakistan, were enrolled. For enrollment from rural areas, random door-to-door surveys were carried out. A structured proforma was used to collect information, and descriptive statistics were employed.
Results: Of the 360 patients from independent families recruited (58% males, 42% femaleswere diagnosed with thalassemia major and 12% with thalassemia minor. Majority of the patients with thalassemia major were up to the age of 5 years (p<0.0001) and with low body weight (p<0.0001); and majority received first transfusion within first year of life (p<0.0001). Iron overload was prevalent in 86% of patients; conversely, however, only 4% of patients were receiving iron chelation therapy. The patients had 106 affected siblings and a total of 152 thalassemia-related mortalities were reported across 94 families. Pedigree analysis revealed recurring losses within families highlighting the severe impact of the disease and the limitations of current medical interventions.
Conclusion: This cohort study illustrates the extensive socio-economic, familial, and clinical challenges faced by transfusion-dependent thalassemia patients, particularly those from rural, low-income communities in Pakistan. This research highlights the necessity for preventive public health measures, such as genetic counseling and community education to mitigate the long-term impacts of thalassemia within vulnerable populations.
Keywords:
Anemia, Thalassemia Major, Thalassemia Minor, beta Thalassemia, Cooley's Anemia, Consanguinity, Transfusio
Timeless College Tales
No full textAt the elite Saeed School of Business, where the cream of the city\u27s student population flock for further education, Professor Madeeha rules the roost with her wisdom and wit, both inside and out of the classroom .
From the tangled webs of loves triangles to the wisdom of work from classical antiquity, author Nadya Chishty-Mujahid creates a world of the heady and intoxicating college experience bubble that is alive with the richness of her professional experience as a celebrated teacher at the Institute of Business Administration (IBA Karachi).
Turn the pages to step into the shoes of young students maneuvering the fierce fights, fiery feelings and fun that is intrinsic to the beauty of the college experience.
These stories will reflect back at you Aristotle\u27s words, \u27\u27Educating the mind without educating the heart is no education at all.\u27\u27https://ir.iba.edu.pk/faculty-research-books/1051/thumbnail.jp
The effect of varied pH environment on the optical efficiency of ZnS nanowires and CdSe/ZnS quantum dots as biomarkers
No full textEntropy generation in radiative motion of tangent hyperbolic nanofluid in the presence of gyrotactic microorganisms and activation energy
No full textIn this work, entropy generation is optimized through the application of the second law of thermodynamics. The slip mechanisms, Brownian diffusions, and thermophoresis are elaborated using the tangent hyperbolic nanomaterial model. Magnetohydrodynamic (MHD) fluid is taken into consideration. To characterize the impact of activation energy, a unique model involving the binary chemical reaction is deployed. The effects of mixed convection that is nonlinear in nature, bioconvection, and Joule effect are all taken into consideration. The key partial differential equations (PDEs) are reduced into ordinary differential equations (ODEs) by utilizing appropriate similarity transformations and then solved numerically with the help of a built-in ‘bvp4c’ technique of MATLAB software. Varied flow parameters’ impacts on the nanoparticle volume concentration, entropy number, microorganism concentration, temperature, and velocity fields are analyzed using graphs. Various flow variables are taken into consideration to calculate the total rate of entropy generation. The obtained results show that concentration irreversibility, Joule effect irreversibility, viscous dissipation, and heat irreversibility all influence the entropy. The numerical outcomes were observed by fixing the physical parameters as 0.1<α<4.0, 0.1<M<1.2, 0.1<Nr<2.2, 0.1<Le<2.2, 0.1<Nb<0.4, 0.1<Nt<1.0, 2.0<Pr<5.0, and 0.1<Lb<2.0, as well as their impact on the momentum, thermal, concentration, and microorganism density profiles. From results, an increasing estimate of the variable representing chemical reaction indicates a decline in the concentration. The higher the chemical reaction variable, Hartmann number, and Weissenberg number, the higher the entropy number, while the Bejan number has a contrary behavior. Subsequently, all the outcomes are plotted in graphs and discussed in detail, when subjected to the involving physical quantities
Numerical analysis of mathematical model of nanofluid flow through stagnation point involving thermal radiation, activation energy, and living organisms
No full textIn a stagnation point flow, the rate at which heat transfers in fluid containing nanoparticles across a sheet that is stretchable on a surface having pores has been investigated in this research. Magnetohydrodynamic viscous nanofluid flow is considered that is subjected to Brownian movements and the thermophoresis effect. By utilizing a numerical technique, the characteristics of heat transmission in nanofluids are investigated. The model is based on momentum, energy, and concentration equations. To explain the flow model’s physical significance, zero mass flux condition has been employed at the surface. Nonlinear partial differential equations are transformed into a collection of linked ordinary differential equations via similarity transformations. Convergent implications of nonlinear systems are produced by MATLAB software’s built-in bvp4c algorithm. To indicate the physical importance, a thorough examination of relevant characteristics, such as heat sink/source, porosity, and magnetic parameter is conducted. We have observed the behavior of profiles by fixing the numerical values of the involving parameters as 0.1 ≤ λ ≤ 2.0, 0.1 ≤ Nr ≤ 3.0, 0.1 ≤ R ≤ 0.4, 0.1 ≤ M ≤ 0.4, 0.1 ≤ Rb ≤ 1.5, and 0.1 ≤ Nb ≤ 0.7. The temperature rises yet the rate at which heat transfers at the surface declines due to the increased far-field velocity. The greater nanoparticles concentration at the far field relative to the surface is related to the zero mass flux condition
Entropy generation in radiative motion of tangent hyperbolic nanofluid in the presence of gyrotactic microorganisms and activation energy
No full textIn this work, entropy generation is optimized through the application of the second law of thermodynamics. The slip mechanisms, Brownian diffusions, and thermophoresis are elaborated using the tangent hyperbolic nanomaterial model. Magnetohydrodynamic (MHD) fluid is taken into consideration. To characterize the impact of activation energy, a unique model involving the binary chemical reaction is deployed. The effects of mixed convection that is nonlinear in nature, bioconvection, and Joule effect are all taken into consideration. The key partial differential equations (PDEs) are reduced into ordinary differential equations (ODEs) by utilizing appropriate similarity transformations and then solved numerically with the help of a built-in 'bvp4c' technique of MATLAB software. Varied flow parameters' impacts on the nanoparticle volume concentration, entropy number, microorganism concentration, temperature, and velocity fields are analyzed using graphs. Various flow variables are taken into consideration to calculate the total rate of entropy generation. The obtained results show that concentration irreversibility, Joule effect irreversibility, viscous dissipation, and heat irreversibility all influence the entropy. The numerical outcomes were observed by fixing the physical parameters as 0.1 < alpha < 4.0 , 0.1 < M < 1.2 , 0.1 < N r < 2.2 , 0.1 < L e < 2.2 , 0.1 < N b < 0.4 , 0.1 < N t < 1.0 , 2.0 < Pr < 5.0 , and 0.1 < L b < 2.0 , as well as their impact on the momentum, thermal, concentration, and microorganism density profiles. From results, an increasing estimate of the variable representing chemical reaction indicates a decline in the concentration. The higher the chemical reaction variable, Hartmann number, and Weissenberg number, the higher the entropy number, while the Bejan number has a contrary behavior. Subsequently, all the outcomes are plotted in graphs and discussed in detail, when subjected to the involving physical quantities
The effect of varied pH on the luminescence characteristics of antibody–mercaptoacetic acid conjugated ZnS nanowires
No full textEntropy generation in radiative motion of tangent hyperbolic nanofluid in the presence of gyrotactic microorganisms and activation energy
No full textIn this work, entropy generation is optimized through the application of the second law of thermodynamics. The slip mechanisms, Brownian diffusions, and thermophoresis are elaborated using the tangent hyperbolic nanomaterial model. Magnetohydrodynamic (MHD) fluid is taken into consideration. To characterize the impact of activation energy, a unique model involving the binary chemical reaction is deployed. The effects of mixed convection that is nonlinear in nature, bioconvection, and Joule effect are all taken into consideration. The key partial differential equations (PDEs) are reduced into ordinary differential equations (ODEs) by utilizing appropriate similarity transformations and then solved numerically with the help of a built-in 'bvp4c' technique of MATLAB software. Varied flow parameters' impacts on the nanoparticle volume concentration, entropy number, microorganism concentration, temperature, and velocity fields are analyzed using graphs. Various flow variables are taken into consideration to calculate the total rate of entropy generation. The obtained results show that concentration irreversibility, Joule effect irreversibility, viscous dissipation, and heat irreversibility all influence the entropy. The numerical outcomes were observed by fixing the physical parameters as 0.1 < alpha < 4.0 , 0.1 < M < 1.2 , 0.1 < N r < 2.2 , 0.1 < L e < 2.2 , 0.1 < N b < 0.4 , 0.1 < N t < 1.0 , 2.0 < Pr < 5.0 , and 0.1 < L b < 2.0 , as well as their impact on the momentum, thermal, concentration, and microorganism density profiles. From results, an increasing estimate of the variable representing chemical reaction indicates a decline in the concentration. The higher the chemical reaction variable, Hartmann number, and Weissenberg number, the higher the entropy number, while the Bejan number has a contrary behavior. Subsequently, all the outcomes are plotted in graphs and discussed in detail, when subjected to the involving physical quantities
