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Despite the reputation of the metal-based porous media for their ability to augment heat transfer as widely witnessed in the literature and practically operating heat exchanging applications, the coexisting penalty of the increased pressure drop demanding increased pumping power poses a major concern that invites the need for an alternate solution to handle this unsought outcome. Therefore, this study aims at providing a better solution to the existing cost and benefit scenarios to benefit a plethora of engineering applications including energy transfer, energy storage and energy conversion.

This work highlights on the property of stacked woven wire mesh porous media such as their stacking types, porous conditions and thickness scenarios that can potentially result in distinct trade-off scenarios. A vertical channel is numerical modelled by using REV scaled modelling technique using Darcy-Forchheimer and local thermal non-equilibrium models to illustrate the possibilities of this variety of trade off scenarios between the desirable heat transfer and the unsought flow resistance.

This work illustrates the advantages of wire mesh-based porous medium and its distinct potential in controlling the existing trade-offs between the cost and benefit aspects. It is found that by varying the features of wire mesh porous media, the interplay between the conflictingly existing characteristics can be much easily handled specific to distinct requirements associated with variety of engineering applications.

The study emphasizes on a new solution or methodology to handle the penalty of pressure drop associated with metal-based porous media. Through this study, a novel approach to control the ultimately costing pumping power at the benefit of increased heat transfer is provided considering various requirements that could be associated with any thermal management systems. Various possibilities and potentials of wire mesh porous media are illustrated highlighting on their benefit of ease with which the mentioned goals can be achieved.

This study aims to investigate the association of the dietary inflammatory index (DII), kidney function and high-sensitivity C-reactive protein (hs-CRP) among the senior population (60-83 years).

This cross-sectional study was conducted in 221 elderly subjects who are living in Tehran, Iran. The DII was calculated from validated semi-quantified food frequency questionnaire, combining putatively pro-inflammatory and anti-inflammatory effects of nutrients, vitamins and trace elements. Biochemical measurements of blood and urine samples were measured. The estimated glomerular filtration rate (eGFR) was assessed from serum creatinine.

A total of 221 subjects with mean BMI of 29.75 and age ranged 60-83 years old were included in the current study. Multiple linear regression analysis showed that eGFR (ß = –0.471; p = 0.48; 95 per cent CI: –2.90, 2.63), albumin/creatinine ratio (ACR) (ß = 0.041 p = 0.55; 95 per cent CI: –5.12, 9.46) and hs-CRP (ß = 0.004; p = 0.55; 95 per cent CI: –0.96, 1.79) were not associated with the DII before and after adjusting for potential confounders, including energy intake, age, sex, BMI, smoking status, physical activity, hypertension, diabetes, use of lipid-lowering medication, angiotensin II receptor blockers (ARB) and angiotensin-converting enzyme inhibitor (ACEI), steroidal and non- steroidal anti-inflammatory medications.

Due to the cross-sectional nature of this study, it is difficult to find the cause-and-effect relationship between the DII and the serum hs-CRP concentration. Another limitation of our study is concerning a possible overestimation or underestimation of dietary intakes, because the participants in the study were elderly and FFQ is a memory-based questionnaire.

Our findings suggest that the DII score is not associated with serum hs-CRP and kidney function markers in elderly people.

This study aims to establish two aspects: first, whether green advertising through multiple media (repetition versus reversal) generates a positive purchase intention than green advertising with a single medium repeat one medium at different levels of product involvement (high versus low level). Second, whether a green advertisement presented through multiple media influences green message credibility, green advertiser credibility, green advertisement credibility, green brand credibility, green ad engagement, attitude toward the green brand and green purchase intention (GPI) than a green advertisement presented through single medium repetition under different level of product involvement, green advertising, media effects, consumer attitude, purchase intention and product involvement.

3 × 2 mixed factorial design is used to examine the audience exposure towards repetitive green ads on multiple media sources such as television, the internet and print. This has a more significant impact on environmental claims in terms of green message credibility, green advertiser credibility, green advertisement credibility, green brand credibility, green ad engagement, attitude toward the green brand and GPI compared to audiences exposed to the same ads on a single medium under high level and low level of product involvement.

The audience was exposed to several media situations, repeating green advertising, has a more significant impact on environmental claims in terms of green message credibility, green advertiser credibility, green advertisement credibility, green brand credibility, green ad engagement, attitude toward the green brand and purchase intention rather than for the audience who encounter a green ad with a high and low degree of product involvement in a single medium.

Only a few studies have measured media synergy effects, and to the best of the authors’ knowledge, no one has measured media effects on green advertisements. By examining different media combination effects of green ads on the audience, the knowledge of green marketing communication and its marketing strategies has been expanded.

The purpose of this paper is to analyze the characteristics of agribusiness firms in India, China and Pakistan, as well as the challenges they face in doing business.

This study is based on the World Bank’s Enterprises Survey (WBES) data. The survey was carried out through a questionnaire survey from the owner and top managers of 716, 247 and 174 agribusiness from India, Pakistan and China, respectively. This enterprises survey has comprised the information regarding the wide range of firms’ characteristics and 16 parameters of business obstacles. Simple statistical tools such as chi-square and analysis of variance have been used to analyze the data.

Chi-square test shows the statistically significance difference in firms’ characteristics across agribusiness firms of India, China and Pakistan. Chinese firms are better in terms of having an international quality certification, own websites and getting credit. In Pakistan, access to land for agribusiness is an obstacle while for India and China, it is easy to acquire land for agribusiness purposes. In Pakistan, tax rate and political stability is a moderate obstacle while in India and China, it is a minor obstacle in agribusiness. Labor regulation does not perceive any considerable obstacle in doing business in India and Pakistan.

This study provides an understanding of differences in the agribusiness environment in emerging economies such as India, Pakistan and China based on WBES data. This study can be helpful for agribusiness managers and government policymakers for promoting agriculture-based entrepreneurship.

It is the first attempt to compare the profile of agribusiness firms in growing Asian economies such as India, Pakistan and China, as well as perceived business hurdles, using a comprehensive enterprises survey data of World Bank.

This research presents a study on the supply chain process of an Indian apparel industry considering various parameters involved. The study aims to identify the main parameters to improve the supply chain process and develop a comprehensive structural relationship to rank them to streamline the apparel supply chain process and business environment.

The team of five experts from this apparel industry was made to give scores to multiple parameters. The TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique is used to develop the model for eleven key parameters and then rank them.

Based on the data analysis the planning, customer and warehouse storage have emerged as top three key parameters while the non-replenishment approach, push and pull strategy and manufacturing of the product are identified as the bottom three parameters from a hierarchy level. These parameters have been ranked based on their contributing attributes in this apparel supply chain process.

The study provides an overall ranking of parameters and the implications are in the direction of helping the industry to improve its supply chain performances rather than focus only on productivity. Further, the key parameters are identified as critical inputs and show that the firms are being more proactive and well prepared comprised of the industry.

The study indicates that the key parameters are identified by this apparel brand to improve its supply chain process. The key supply chain process involves planning, manufacturing, distribution, end customer and returns logistics of the goods, etc. So, this research also provides the focused parameters on the supply chain performance received by end customer from the supplier and rank them for effectiveness and improve their overall organizational performance. It also provides a critical observation of their supply chain process improvement which includes different brand uses, strategies and approaches.