Sharif Digital Repository

The current study revealed the effectiveness of polypropylene (PP) fibers and cement to enhance the strength of black cotton soil. PP fibers and cement with different concentrations were mixed with black cotton soil. The strength of PP fiber and cement-based soil samples was measured in terms of unconfined compressive strength (UCS) and California Bearing ratio (CBR). Specimens for UCS and CBR tests were prepared at 2%, 4%, 6% and 8% of cement (by dry weight of soil) and seven percentages of polypropylene fibers i.e. 0.0%, 0.1%, 0.2%, 0.3%, 0.4%, 0.5% and 0.6% (by dry weight of soil). Fourier transform infrared (FTIR) analysis confirmed the presence of polypropylene and cement contents in... 

The current study revealed the effectiveness of polypropylene (PP) fibers and cement to enhance the strength of black cotton soil. PP fibers and cement with different concentrations were mixed with black cotton soil. The strength of PP fiber and cement-based soil samples was measured in terms of unconfined compressive strength (UCS) and California Bearing ratio (CBR). Specimens for UCS and CBR tests were prepared at 2%, 4%, 6% and 8% of cement (by dry weight of soil) and seven percentages of polypropylene fibers i.e. 0.0%, 0.1%, 0.2%, 0.3%, 0.4%, 0.5% and 0.6% (by dry weight of soil). Fourier transform infrared (FTIR) analysis confirmed the presence of polypropylene and cement contents in... 

Cotton contributes 0.6% to the value added in GDP and 3.1% to the value added in the agriculture sector of Pakistan. The dusky cotton bug (DCB), Oxycarenus hyalinipennis (Hemiptera: Lygaeidae), is among the insect pest species of highest economic significance in cotton production in the country. Adults and nymphs feed on seeds and cotton bolls, affecting seed germination. The dusky cotton bug is a polyphagous insect that feeds on a variety of host plants. Its adults and nymphs typically feed on squares of the cotton plant, resulting in a pale yellow color of squares and subsequent shedding of infested squares. Insecticide resistance in cotton insect pests is an emerging threat to sustainable... 

This work’s main objective is to investigate the thermal behavior of a tetra-ferrite-based nanofluid model under four physical controls. The tetra-nanofluid contains Fe3O4, CoFe2O4, NiZnFe2O4, and MnZnFe2O4 tetra-nanoparticles over a porous surface using ethylene and water (50%-50%) as the base fluid. The fundamental constitutive models are reduced nonlinear ordinary differential equations using appropriate transformative functions. The resulting set of governing equations are found using the Runge-Kutta algorithm. The impacts of critical quantities on the heat transfer, shear factor, and Nusselt number are illustrated through graphs and numerical data. It is noticed that when the... 

Aluminum alloys have promising characteristics which make them more useful in industrial applications for thermal management and entropy of the fluidic system. Hence, the current research deals with the analysis of entropy and thermal performance of (C2H6O2–H2O)/50:50% saturated by (AA7072/AA7076/Ti6AI4V) alloys. Traditional problem modified using enhanced characteristics of ternary alloys and hydrocarbon 50:50% base fluid. Further, significant effects of nonlinear solar radiations, dissipation and convective heat condition effects are also taken in the problem formulation. The developed model analyzed numerically and simulated the results for thermal performance, comparative entropy, shear... 

Our study delves into the dynamics of a convective Magneto-Hydrodynamic Bioconvective Nanofluid model (MHD-BCNFM) flowing over a convectively heated stretched sheet. To accomplish this, we utilize the distinctive capabilities of the Supervised Stochastic Approach for Computational Analysis (SSACA). By integrating similarity transformations, we convert the partial differential equations (PDEs) governing the system into coupled ordinary differential equations (ODEs). We generate the dataset for our approach using the Adam numerical technique specifically tailored for the (MHD-BCNFM). Achieving this involves systematic modulation of parameters such as λ, bioconvection Péclet number Pe,... 

Nonlinear optical (NLO) materials are essential components in modern photonics and optical devices due to their ability to generate new frequencies through the nonlinear interaction with intense light. Synthesizing porphyrin-based NLO materials is complex and challenging, requiring specialized techniques to achieve high purity and yield. Controlling chromophore orientation and optimizing nonlinear optical properties are key difficulties that demand interdisciplinary efforts for practical photonics and optical applications. In the present study by using z-scan technique some of non-linear optical (NLO) parameters includingthird order NLO susceptibility (χ3), and molecular second... 

The principal objective involved in this research is to explore the mechanical behaviour of the binder using different mineral fillers such as stone dust (SD), brick dust (BD) and fly ash Class F (FA). Currently, a large quantity of roads is being constructed under the China-Pakistan Economic Corridor (CPEC) project. It is a major concern for quality of road to with stand heavy loads. For the investigation of the quality of roads, it is mandatory to evaluate the behaviour of mineral fillers addition in asphalt mastic. Fatigue cracking, thermal cracking and permanent deformation have been found a major common distress in the construction of road networks. In this study, the behaviour of... 

Pr doped spinel nanoferrites having following composition Cu Pr x Fe 2-x O 4 (x = 0, 0.25, 0.50, 0.75, 1.00) were synthesized using sol-gel route. Prosademium (Pr) which is a rare earth metal was doped to tailor the properties of the Cu spinel nanoferrites. Characterization tools such as FTIR, XRD, FESEM and VSM were employed to investigate the phase, absorption bands, structure, microstructure and magnetic properties. FTIR was used to see the absorption bands and force constants of the Pr doped Cu spinel nanoferrites. Crystallite size, lattice parameters, cell volume and micro strains were determined from XRD data. Bulk density, X-ray density and porosity of the Pr doped Cu spinel... 

The growth and productivity of different varieties of beetroot Beta vulgaris were examined in presence of urea, nitrogen, phosphorus, potassium, compost and salt during the field trial, and the chemical constitution of three different varieties, dark red, ruby queen and detroit-2 was identified quantitatively by spectrophotometer. Ruby queen shows maximum growth as compared to dark red and detroit-2. The application of urea, nitrogen, phosphate, potassium and compost reduces the amount of catalase and total antioxidant enzymic potensial while increasing the concentrations of proteins, lipids, and sugars, with high growth and yield. Maximum growth was observed in the presence of urea, while... 

In the present investigation, design of integrated numerical computing through Levenberg-Marquardt backpropagation neural network (LMBNN) is presented to examine the fluid mechanics problems governing the dynamics of expanding and contracting cylinder for Cross magneto-nanofluid flow (ECCCMNF) model in the presence of time dependent non-uniform magnetic force and permeability of the cylinder. The original system model ECCCMNF in terms of PDEs is converted to nonlinear ODEs by introducing the similarity transformations. Reference dataset of the designed LMBNN methodology is formulated with Adam numerical technique for scenarios of ECCCMNF by variation of thermophoresis temperature ratio... 

This paper aims to establish a panoramic foundation for investigating the impact of sunlight on a recently formulated water-based tri-nano hybrid Sutterby liquid (TNHF) under provided magnetic field, directed through photovoltaic solar panels by exploiting the knacks of machine intelligent computing paradigm. The comparative performance of hybrid and tri-nano fluidic system with water as a base fluid is exhaustively analyzed and discussed. This research is unique, as it has a distinguished figurative comparison analysis between two different types of nanofluidic materials, which helps to choose the best one for use in agrivoltaics systems, and replace the materials already in use to enhance... 

This study describes some epidemiological and patho-physiological aspects of Trypanosoma evansi (causative agent of “surra”) infection in camels (n=255) and Nili Ravi buffaloes (n=233). Clinical ailments like fever, shivering, edema of pads and urticarial swelling were observed in infected animals. Overall prevalence of T. evansi infection in buffaloes was 9.01 and 15.12% based on blood smear examination and PCR, respectively, while in camels, the prevalence was 10.58 and 15.29% based on smear examination and PCR, respectively. Results on epidemiological data did not indicate significant association of different factors of hosts with prevalence of T. evansi. Hematological parameters... 

Recent studies confirm the ability of graphene oxides (GO) for the improvement of cementitious-based soil material properties. The current study aimed to explore the influence of GO and cement on the spectroscopic, thermal, structural, and strength of soil experimentally. The spectroscopic analysis studied by FTIR showed the presence of GO and cementitious contents in the soil sample by detecting the vibration modes of respective components. Thermal (TGA) analysis revealed a slight loss in weight with the increase in temperature up to 1000 °C majorly due to the presence of moisture contents. SEM equipped with an EDX technique was implemented to examine the sample of microstructure containing... 

This article explores the enhancement of thermal exchange in a dissipative Triple-nanoparticle (Al2O3+CuO+Cu) hybrid fluid over a stretchable wavy cylindrical surface with slip effect, incorporating Python bvp algorithm with artificial intelligence AI analysis of numerical results. The stochastic AI analysis gives the enhanced and optimized results with predictive modeling, incorporating randomness of influencing parameters and nonlinear turbulent behavior of model. The model has significant importance and application in noise reducing and drag reduction devices or structures. Moreover, the presented geometrical structure is useful in enhancing thermal conduction characteristic. The... 

The aim of this study is to examine the entropy generation (EG) associated with the transfer of mass and heat in a concentration-dependent fluid with thermal radiation and activation energy, specifically in the context of an unsteady Riga Plate with gyrotactic microorganism. It is important to solve the ordinary differential equations generated from the controlling partial differential equations using Lie symmetry scaling to verify their quality and reliability. The system's anticipated physical behavior is compared to Mathematica's Runge-Kutta-Fehlberg numerical solution. Source parameters are essential for validation since they offer accurate results. Methodically change these values as a... 

This study aims to develop a benign and commercially viable method for the degradation of monoethanolamine (MEA) in the aqueous phase via an ultraviolet/hydrogen peroxide (UV/H2O2) advanced oxidation process (AOP). The current investigation is novel in terms of detailed kinetic analysis and degradation mechanisms; the impact of pH and UV light intensity on MEA degradation was thoroughly examined. pH 9 was identified as the optimal condition, achieving a degradation efficiency of 76.28%, while the highest UV light intensity of 59.055 mJ cm−2 resulted in an 85.13% degradation efficiency. A comprehensive kinetic study highlighted the reaction rates under varying conditions, providing valuable... 

In recent years, subsidy payment has been made a main challenge for governments due to growth of population and energy price in global markets. Targeted subsidy plan has been implemented in Iran since last year, and this article discusses its effects on costs and revenues of Tehran Electricity Company as one of the major subdivisions of Iran's electricity industry. In the new system, structural changes have been made in electricity tariffs, so it is not possible to predict the future trends in electricity consumption only based on the past consumptions. In order to model the decision making structure in the recent conditions, a system dynamics method is applied. In addition to modeling the... 

The use of hybrid nanofluids in real-world situations is essential for enhancing the efficiency of heat transmission, especially in cooling semiconductor technology and industrial processes. The entropy generation on unsteady Al2O3-Cu/H2O hybrid nanofluid flow over a three-dimensional shrinking sheet is addressed numerically in this study, taking into account the effects of magnetohydrodynamic (MHD), nonlinear thermal radiation, porous media, heat generation, viscous dissipation, joule heating, and convective conditions. Using well-known non-similarity transformations, the model is carefully converted from partial differential equations (PDEs) to ordinary differential equations (ODEs).... 

Purpose: With possible uses in engineering and industrial processes, this work aims to further our knowledge of fluid dynamics and heat transfer in complicated flow configurations. This study looks at how Al2O3−Cu/H2O hybrid nanofluids move across a nonlinear radiative 3D unsteady surface. It tries to figure out what happens when the Hall current, variable viscosity, viscous dissipation, velocity and thermal slip conditions work together. The goal of this analysis is to provide insight into the system's thermodynamic behavior and the ways in which these elements affect the flow's entropy generation. Methodology: The controlling system is converted into nonlinear nondimensional partial...