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In this paper, a new quadrilateral strain-based element is developed. The element has five nodes, four at the corners as well as an internal node.

Through the introduction of the internal node, the numerical performance of the element proved to be superior to existing elements in the literature, even though a static condensation is required.

From several numerical examples, it is shown that convergence can be achieved with the use of only a small number of finite elements. The proposed element can be used to solve general plane linear elasticity problems resulting in excellent results.

The results obtained are comparable with those given by the robust element Q8.

The recent spate of eminence received by the MOOCs (massive open online courses) from media to academia is revolutionary in higher education. MOOCs are a disruptive technological innovation which offers open learning with the aid of the internet and delivered by the faculty of reputed institutions, globally. Since Coursera being one such significant platform, its exploration would display the broader picture of MOOCs. As a result, studying it from various dynamics has been the motive of the current endeavour.

The quantitative study of the collected data was applied with help of descriptive research methodology to measure the contribution of the top six countries namely US, China, Japan, Germany, India and UK. All these six countries were selected on the basis of GDP (harvested from official website World Bank – data.worldbank.org/ to Coursera––an online platform providing MOOCs. The involvement of these selected countries was gauged (from the official website of Coursera https://www.coursera.org/) in terms of number, type of contributing institutions, number of courses offered by those institutions, type of courses offered, number of instructors and instructor gender ratio.

The findings reveal that the United States (US) is the top contributor in terms of partner institutes (97), courses (Specialization courses – 1,267 and degree courses– 40) and number of instructors (1,290). Interestingly, it was also observed that universities are the major contributor institutes in all six studied countries. Most of the institutes provide specialization courses while a very few provide degree courses. A large number of instructors are involved for imparting these courses online. Instructor gender ratio on average is 2:1 (male: female). It was also observed that there is usually a specific common time of starting courses on Coursera.

Online platforms are the main delivery points for MOOCs; therefore, vibrancy and articulacy of such platforms make this innovation a success, and examining such a platform which exhibits such characteristics would present an overall picture of its functionality, development, evolution and future expansion of the innovation (MOOCs).

The purpose of this paper is to draw a comparison of the Web traffic ranking, usage and popularity of websites of databases of reputed publishers, namely, ScienceDirect and Emerald Insight, that provide access on subscription basis with Sci-Hub, on the basis of data obtained from Alexa databank (www.alexa.com). Sci-Hub is a website that provides pirated open-access to the research literature, where piracy, according to The Economic Times (2020), refers to the unauthorized duplication of copyrighted content.

Under present study, the quantitative study of the collected data was carried out with help of descriptive research methodology. The Alexa databank was singled out as the source of data. This study crawled through Alexa databank on 01.12.2019 and collected relevant data regarding Sci-Hub, ScienceDirect and Emerald Insight using the search terms Sci-hub.tw, Sciencedirect.com and Emeraldinsight.com sequentially. Different criteria were taken into consideration, which include global traffic rank, the average number of page views per user, time taken for uploading, bounce rate, percentage of users, the number of in-links and daily time spent on the site.

The results of this study showed that ScienceDirect has the highest traffic rank and in-linking sites among the surveyed databases. But highest number of page visits were recorded for Sci-Hub with fastest downloading speed. It has also been observed that the users spent less time on ScienceDirect and Emerald Insight as compared to Sci-Hub. This study further observed that Sci-Hub has the lowest bounce rate. Users from both the developing and developed economies use the Sci-Hub, though the highest number of visitors belongs to the developing nations.

This study provides an overview of the performance of toll-based publishing databases with pirated database based on different criteria through World Wide Web. Though, this study in no way supports or endorses the unauthorized and illegal access to knowledge, but such data helps in depicting and analyzing how much a particular database is accessed by its users all over the globe and also determines and illustrates the time spent by users while accessing a specific database, thus, providing the user preferences in information seeking activities. This study provides an overall view of adoption of open resources.

The purpose of this paper is to review literature about the applications of artificial intelligence (AI) in strategic situations and identify the research that is needed in the area of applying AI to strategic marketing decisions.

The approach was to carry out a literature review and to consult with marketing experts who were invited to contribute to the paper.

There is little research into applying AI to strategic marketing decision-making. This research is needed, as the frontier of AI application to decision-making is moving in many management areas from operational to strategic. Given the competitive nature of such decisions and the insights from applying AI to defence and similar areas, it is time to focus on applying AI to strategic marketing decisions.

The application of AI to strategic marketing decision-making is known to be taking place, but as it is commercially sensitive, data is not available to the authors.

There are strong implications for all businesses, particularly large businesses in competitive industries, where failure to deploy AI in the face of competition from firms, who have deployed AI to improve their decision-making could be dangerous.

The public sector is a very important marketing decision maker. Although in most cases it does not operate competitively, it must make decisions about making different services available to different citizens and identify the risks of not providing services to certain citizens; so, this paper is relevant to the public sector.

To the best of the authors’ knowledge, this is one of the first papers to probe deployment of AI in strategic marketing decision-making.

This study aims to investigate the antihypertensive effect of camel milk hydrolysate in rats with fructose-induced hypertension.

The antihypertensive effect of fermented camel milk was determined using 6 groups comprising 36 Wistar male rats. Blood pressure of rats was altered via exposure to a 10% fructose (w/v) diet in drinking water for 3 weeks before conducting 21 days of treatment. The authors conducted the experiment for short and long term using different doses of 800 and 1,200 mg/kg body weight. Serum was used to assay total cholesterol (TC), triglyceride (TG), glucose and insulin levels using standard biochemical kits.

The group that received 1,200 mg hydrolysate camel milk (HM) has significantly (p = 0.003) reduced systolic and diastolic blood pressure after a short exposure time (4–8 h). These effects were significantly (p = 0.005) comparable to the nifedipine (NIF) drug group. Similar long-term (21 days) effects on blood pressure were observed in 1,200 mg HM and NIF groups. Angiotensin-converting enzyme (ACE) activity and levels were also reduced in a correlation with blood pressure reduction only in HM1200 and HM800 treated groups. The authors observed no significant effect on blood pressure in groups receiving the 800 mg HM or 1,200 mg unhydrolyzed camel milk (UM). Rats receiving the 10% fructose diet showed significant differences from control rats regarding their blood biochemistry, including TG, TC, blood glucose and insulin levels. Rats in groups NIF, HM1200 and HM800 showed a significant (p < 0.05) reduction in serum glucose, insulin, TG and TC levels toward the baseline level.

Further mechanistic investigation on the HM antihypertensive activity is highly recommended before suggesting HM as a product to reduce blood pressure. While drug–food interaction between HM and antihypertensive drugs, especially ACE inhibitors, is probable, UM seems not to affect blood pressure or ACE activity and therefore is expected to have no or minimal effects on the activity of other antihypertensive drugs. Investigation of ACE expression from various organs including lungs and leukocytes is highly recommended in future works using sodium dodecyl-sulfate polyacrylamide gel electrophoresis and western blot analysis or reverse transcription polymerase chain reaction.

No previous studies have measured the antihypertensive activity of milk hydrolysate mediated by the reduction of ACE activity and levels in plasma. Mechanisms involved in attenuating the levels of ACE warrant further investigation.

This study attempts to recognize the effects of the Pakistan–China free trade agreements (PCFTA) on promoting trade between the two economies.

Following the concept of revealed comparative advantage (RCA) and free trade agreements, the study first identifies those commodities in which Pakistan and China have a robust RCA and then analyze the effect of PCFTA on the export value of those commodities for the bilateral trade between Pakistan and China. The study used the panel data in which more than the top 150 importers (j) have been selected for each case of Pakistan and China for the period of 2003–2015.

The study concludes that even with the higher convergence rate, the good RCA does not guarantee a positive effect of the free trade agreement on the commodities.

The study contributes to the existing literature by integrating RCA with the gravity model by adopting a sequential mode for Pakistan–China free trade agreement.

The paper aims to describe the positive and negative effects of night lights in historical sites, as well as the most salient challenges faced by the visitors of these sites and determine ways to address them. The study aims to suggest several light-and-shadow approaches and designs to enhance the experience of visiting historical sites.

This study identifies problems of nightlife in historical sites with an online international questionnaire to determine the preferences and difficulties faced by visitors of historical sites during day and night. After that Egypt was determined as a sample case of a developing country; its archaeological sites need to be improved. The main problems of historical Egyptian sites were investigated and approaches in developing historical sites with interactive lighting design were presented after an online questionnaire to the Egyptian society.

The paper shows that archaeological sites need some development, especially in their technological and lighting aspects, to overcome visitors’ low night-time interest in archaeological sites. Research has found certain limitations in the effects of constructing artificial illumination. The study provides modern sustainable solution for some light challenges in historical sites with approaches and solutions to solve it.

The results of that research could be applied in developing countries, but with larger specific studies to the historical urban locations according to the politics of the country.

The paper includes sustainable approaches in developing historical sites with technological lighting design required to enhance historical sites at night-time and make visits more interactive and interesting.

This paper presents an identified need of historical sites visitors’ to study applying modern approaches in enhancing urban historical sites.

This paper aims to investigate a fundamental research question of whether the Islamic banking business model makes corporate earnings more uncertain. This question arises because prior research shows that Islamic banks do well in loan performance but incur more operational costs than conventional banks, indicating the systemic limitation of Islamic banks in business risk management.

The study used a sample of banks to conduct the panel regression analysis with 15 years of data for 532 banks (129 Islamic and 403 conventional) from 23 Muslim countries across the world. The authors estimate earnings uncertainty in two ways: the spread and standard deviation of the country-adjusted return over the sample period and applied the difference-in-difference approach interacting cost to income ratio with the Islamic bank dummy, checking if Islamic bank’s high operational costs contribute to more earning uncertainty.

Islamic banks’ returns on assets are significantly more uncertain than conventional banks due to higher operational costs. Consistent with earlier evidence, the study also finds that Islamic banks generally have fewer nonperforming loans than conventional banks. The authors conclude that Islamic banks trade-off between reducing credit risk and escalating business risk.

This study documents that the Islamic banking model helps build a safer asset portfolio but gives rise to the uncertainty of corporate earnings. Therefore, the choice between Islamic and conventional banking models involves a trade-off between credit and business risks. It is a new finding that we add to the literature body on Islamic finance.