Relationship of the Celebrity Endorsement in the T.V Advertisements and Buying Behavior of Youth

The usage of star validation has grown to be a good ever-present characteristic throughout current advertising and marketing. Celebs just like film famous actors, TV set personalities, and renowned players usually are widely used throughout TV set advertising to help have an effect on consumer manufacturer choice behavior. Companies attempt to set up a URL concerning their particular brands along with an appealing photograph or maybe life-style of the star. Such as other regions on the globe, star endorsements are becoming the common strategy of promotion throughout Pakistan. This specific review experimented with examining the perceptions connected with youngsters in the direction of the usage of celebrities throughout advertising throughout Pakistan to have a good understanding about it is useful. Information can be proposed to get gathered by way of a customer survey of 500 youngsters residing in Multan. It'll show off, which how star validation has the likely of being recognized and loved by the viewers and have an effect on the buy selection? The particular buy selection may be observed to get inspired through some other elements just like top quality and price tag on the product or service and this can be additionally contemplating with the review

Mapping sustainability assessment and reporting in the UK tertiary education : A whole-institution perspective on sustainability assessment and reporting tools

A plethora of assessment and reporting ‘tools’1 has become available for the improvement of sustainability performance in Further and Higher Education(FHE). As the profile of sustainability reporting and assessment continues to rise, the market of FHE sustainability assessment and reporting tools is expanding with more than a hundred ‘tools’ in use by UK FHE institutions, as identified at the initial phase of this research. Navigating through this increasingly complex landscape often seems a daunting task. In response, the EAUC has initiated this project to help sustainability professionals critically evaluate those tools and facilitate their institutions’ orientation in sustainability assessment and reporting. The project has achieved three main results: - Firstly, tools of importance to the UK FHE sector have been identified and are presented in the form of a guide providing an overview of each (pp. 11-30). - Secondly, these diverse tools have been ‘mapped’ under a whole institution approach framework, as modelled by LiFE (a self-assessment and reporting mechanism developed by the EAUC). They are colour coded according to their level of alignment with the LiFE criteria. This ‘mapping’ allows identification of emphases or gaps in the FHE sustainability coverage for each tool. Institutions are thus provided with a whole institution visual analysis of the scope and impact of tools they might have in place or are considering adopting. (Appendices A and B display these maps). - Thirdly, a ‘Dashboard’ has been developed to compile all the tools and systematize their comparison and analysis. The dashboard tools also include an allocated score on the basis of its coverage of the whole institution sustainability, as defined by LiFE. (Section Dashboard Methodology: pp. 9-10). The Dashboard provides a mechanism for creating customised ‘baseline’ maps which will include all an institution’s tools to identify gaps and further drive performance (Appendix A) Our study features alternative tools that go beyond eco-efficiency, addressing areas of FHE sustainability such as teaching and research. Having said that, it is crucial to stress that this research does not endorse any of the tools, which were chosen on the basis of their frequency of use and importance to the EAUC members. In other sectors, there is a tendency for tools to harmonize with each other, creating a common language of indicators which enables institutions to better communicate and compare their sustainability performance. We have tried to do the same for the FHE sector. The EAUC will continue to work closely with institutions through an approach which recognises the importance of both external tools and internal programmes to performance improvement, assessment and reporting. This research also communicates the merits of combining both internal and external approaches within a whole institution framework. In the spirit of the EAUC’s approach, we take this opportunity to highlight that the success of this project is impingent upon the support and participation of our member institutions. Thus, we invite feedback, ideas and contributions which will help to shape this co-creation between the EAUC and its members. To get involved or for further information, please contact Iain Patton at [email protected]

Bioavailability and Metabolic Pathway of Phenolic Compounds

As potential agents for preventing different oxidative stress-related diseases, phenolic compounds have attracted increasing attention with the passage of time. Intake of fruits, vegetables and cereals in higher quantities is linked with decreased chances of chronic diseases. In plant-based foods, phenolic compounds are very abundant. However, bio-accessibility and biotransformation of phenolic compound are not reviewed in these studies; therefore, a detailed action mechanism of phenolic compounds is not recognized. In this article, inclusive concept of different factors affecting the bioavailability of phenolic compounds and their metabolic processes is presented through which phenolic compounds go after ingestion

Leucodepletion in Thalassaemia Major Patients in Pakistan

Thalassaemia is a blood disorder in which an abnormal form of haemoglobin is made due to genetic aberration. Although no national database exists to calculate the exact number of thalassaemics, but it is estimated that there are 9.8 million carriers of the disease in Pakistan [1]. Consanguineous marriage is the leading cause for this high prevalence rate due to which the thalassaemia gene is trapped within the affected families. These patients are dependent on regular blood transfusions to sustain life in addition to expensive chelation therapy and other medical management. As a result, thalassaemia is a major healthcare challenge and places great psychological and financial trauma on the affected families and is a huge burden on the national healthcare delivery system [2]

Transition from elastic to plastic strain release in core−shell nanowires revealed by in-plane x-ray diffraction

We investigate the strain evolution and relaxation process as function of increasing lattice mismatch between the GaAs core and surrounding InxGa$_{1-x}$As shell in core–shell nanowire heterostructures grown on Si(111) substrates. The dimensions of the core and shell are kept constant whereas the indium concentration inside the shell is varied. Measuring the $22\bar{4}$ and $2\bar{2}0$ in-plane Bragg reflections normal to the nanowire side edges and side facets, we observe a transition from elastic to plastic strain release for a shell indium content x > 0.5. Above the onset of plastic strain relaxation, indium rich mounds and an indium poor coherent shell grow simultaneously around the GaAs core. Mound formation was observed for indium contents x = 0.5 and 0.6 by scanning electron microscopy. Considering both the measured radial reflections and the axial 111 Bragg reflection, the 3D strain variation was extracted separately for the core and the InxGa$_{1-x}$As shell

Deep Reinforcement Learning for Control of Microgrids: A Review

A microgrid is widely accepted as a prominent solution to enhance resilience and performance in distributed power systems. Microgrids are flexible for adding distributed energy resources in the ecosystem of the electrical networks. Control techniques are used to synchronize distributed energy resources (DERs) due to their turbulent nature. DERs including alternating current, direct current and hybrid load with storage systems have been used in microgrids quite frequently due to which controlling the flow of energy in microgrids have been complex task with traditional control approaches. Distributed as well central approach to apply control algorithms is well-known methods to regulate frequency and voltage in microgrids. Recently techniques based of artificial intelligence are being applied for the problems that arise in operation and control of latest generation microgrids and smart grids. Such techniques are categorized in machine learning and deep learning in broader terms. The objective of this research is to survey the latest strategies of control in microgrids using the deep reinforcement learning approach (DRL). Other techniques of artificial intelligence had already been reviewed extensively but the use of DRL has increased in the past couple of years. To bridge the gap for the researchers, this survey paper is being presented with a focus on only Microgrids control DRL techniques for voltage control and frequency regulation with distributed, cooperative and multi agent approaches are presented in this research

Induced polyploidy: a tool for forage species improvement

Polyploidy means having more than two basic sets of chromosomes. Polyploid plants may be artificially obtained through chemical, physical and biological (2n gametes) methods. This approach allows an increased gene scope and expression, thus resulting in phenotypic changes such as yield and product quality. Nonetheless, breeding new cultivars through induced polyploidy should overcome deleterious effects that are partly contributed by genome and epigenome instability after polyploidization. Furthermore, shortening the time required from early chromosome set doubling to the final selection of high yielding superior polyploids is a must. Despite these hurdles, plant breeders have successfully obtained polyploid bred-germplasm in broad range of forages after optimizing methods, concentration and time, particularly when using colchicine. These experimental polyploids are a valuable tool for understanding gene expression, which seems to be driven by dosage dependent gene expression, altered gene regulation and epigenetic changes. Isozymes and DNA-based markers facilitated the identification of rare alleles for particular loci when compared with diploids, and also explained their heterozygosity, phenotypic plasticity and adaptability to diverse environments. Experimentally induced polyploid germplasm could enhance fresh herbage yield and quality, e.g., leaf protein content, leaf total soluble solids, water soluble carbohydrates and sucrose content. Offspring of experimentally obtained hybrids should undergo selection for several generations to improve their performance and stability

Dynamic Analyses of Two-Dimensional Functionally Graded Timoshenko Beam using Finite element Method

In this work, dynamic analyses of a functionally graded beam are presented. The governing equations of the beam is found based on the displacement field defined by Timoshenko beam theory, then solved by using finite element method based on Hamilton’s principle. The beam is assumed to be free-clambed boundary condition (F-C). The PL index is used for describing the distribution of the beam properties in both transverse and longitudinal directions. A parametric study is accomplished to investigate effect of several parameters on the natural frequency, mode shapes and transient response of the beam., such as the PL indexes (nx and nz) for x and z axis, respectively, and the elasticity modulus ratio (Eratio). To valid the present results and current mathematical formulation, some of the findings are compared with another research. A good agreement is noticed. It is noted that the response of the beam is more sensitive to the variations of the PI in the longitudinal axes than that corresponding in the transverse one. For specific design requirements, the dynamic response of the beam can be adjusted by chose a proposal indexes and modulus ratios

Determinants of online purchase intention and moderating role of trust in social network websites in Malaysia

The rapid growth of social networking sites (SNSs) has led to a change in marketing strategies and purchase behaviour of consumers. Drawing on the Extended Unified Theory of Acceptance and Use of Technology, a theoretical basis for the online buying intention based trust, performance expectancy, hedonic motivation, habit, social influence and effort expectancy constructs was examined. The data came from a sample of 370 students who had a prior experience in online buying. It was found that habit, hedonic motivation and performance expectancy were significant predictors of buying intention; however, effort expectancy and social influence did not significantly predict purchase intention. Habit had stronger influence on buying intention for customers with a high level of trust, whereas hedonic motivation and performance expectancy had a higher effect for customers with a low level of trust. Theoretical and practical implications of the findings are discussed