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This paper builds homogenous series of the rate of surplus value (RSV) for the Chinese economy over the extended period 1956–2014 with a Marxian approach. It finds that the high profitability that stimulated capital accumulation in the decade before the 2008 crisis had relied on the continuous growth in the RSV. Given that the global crisis and changes in the domestic economy undermine all the conditions maintaining the accumulation model (an expanding external market, a relatively large reserve army of labor, and a low debt-income ratio), the RSV has failed to increase and profitability declined since 2008. Thus, this paper interprets the so-called new normal of the Chinese economy as a stage of declining profitability that results mainly from the stagnant RSV and the rising value composition of capital.

The purposes of this study were to measure the relevance status of Index Islamicus, evaluate the semantic correlation between a query and documents and inquire the basis of its rank. Sorting the retrieved results from the most relevant to the least relevant is the common option of an information retrieval system. This sorting mechanism or relevance judgment is computed by measuring closeness of query with its documents.

Forming up 100 queries on Islamic History and Civilizations, with two indexing elements (keyword and concept), a laboratory experiment was generated on its first ten items of the rank. Throughout an experimental research design, the relevance status value formula was used to measure system-computed rank and compare it with mean average precision.

The results showed that the average status value of Index Islamicus’s ranking on relevance criterion was 18 per cent effective in terms of retrieving precise documents. Despite the main focus of this study being only on one subject domain and the items calculated were only 1,000, this small percentage of its ranking mechanism proved that semantic correlations between queries with subject domain did not achieve the satisfactory level.

Implication of this study could be a guideline for further research on ranking mechanism of other search engines because the limitation of this study was Index Islamicus being the only database, which was the focus of this study.

Throughout this study, Index Islamicus would be benefited knowing the status of its ranking mechanism as well as other databases can make further research on their own ranking method following this study.

Researchers and vendors of online databases can ensure their users a true platform of search engine with a proper ranking list.

Relevance status value model for Index Islamicus on Islamic History and Civilization that allows the system to rank documents according to the match between document and query and gives the idea of a better index. The model improves the system’s ranking mechanism, and promotes the use of semantic relationships. This research promotes the computation of relevance status value by domain for capturing subject-specific relevance criteria and semantic relationships.

This paper aims to investigate the association of COVID-19 confirmed cases and deaths with mental health, unemployment and financial markets-related search terms for the USA, the UK, India and worldwide using Google Trends.

The authors use Spearman’s rank correlation coefficients to assess the relationship between relative search volumes (RSVs) and mental health, unemployment and financial markets-related search terms, with the total confirmed COVID-19 cases as well as deaths in the USA, UK, India and worldwide. The sample period starts from the day 100 cases were reported for the first time, which is 7 March 2020, 13 March 2020, 23 March 2020 and 28 January 2020 for the US, the UK, India and worldwide, respectively, and ends on 25 June 2020.

The results indicate a significant increase in anxiety, depression and stress leading to sleeping disorders or insomnia, further deteriorating mental health. The RSVs of employment are negatively significant, implying that people are hesitant to search for new jobs due to being susceptible to exposure, imposed lockdown and social distancing measures and changing employment patterns. The RSVs for financial terms exhibit the varying associations of COVID-19 cases and deaths with the stock market, loans, rent, etc.

This study has implications for the policymakers, health experts and the government. The state governments must provide proper medical facilities and holistic care to the affected population. It may be noted that the findings of this study only lead us to conclude about the relationship between COVID-19 cases and deaths and Google Trends searches, and do not as such indicate the effect on actual behaviour.

To the best of the authors’ knowledge, this is the first attempt to investigate the relationship between the number of COVID-19 cases and deaths in the USA, UK and India and at the global level and RSVs for mental health-related, job-related and financial keywords.

Using a two bank, two-period game-theoretic model, this chapter shows that contingent purchase and assumption policy under which the choice of acquirer for a failed bank is contingent on the surviving banks’ risk-taking behavior is generally most effective in reducing moral hazard problems, particularly for countries with low levels of competition and high regulatory barriers. Moreover, we find that to minimize the probability of future bank failures, the choice of acquiring bank should be based not only on the short-term goal of resolving the insolvencies of financial institutions, but also on the long-term effects of ex ante risk-taking incentives.

The purpose of this paper is to discuss freshwater vulnerability to environmental change, including climate change, in Levant countries.

The paper uses the methodological guidelines prepared by UNEP and Peking University, using the fresh water vulnerability index (VI) for each country of the Levant region. The VI was calculated for a five‐year period interval, i.e. 1985, 1990, 1995, 2000, 2005, and was predicted for the years 2020 and 2040 taking into consideration the expected impacts of climate change.

The vulnerability of freshwater resources was explored by isolating strategically‐important issues related to different functions (uses) of freshwater systems in the Levant region. All Levant countries are very vulnerable according to the adopted methodology (VI values are from 0.5‐0.7), with Palestine being the worst case. The value of each parameter was calculated for five‐year interval period and for each Levant country. The most dominant parameter was the water variation parameter (RSv), which is a natural factor and highlights how vulnerable the region is to climate change. The second most important parameter was the water exploitation pressures (DPs), which reflect the efforts of the countries to satisfy their water needs from the limited water resources. Cooperation and exchange of data and information at the regional level regarding the vulnerability of the region to climate change and measures for mitigation and adaptation could help in alleviating its impacts on the countries of the region.

This paper highlights that fresh water resources in Levant region are under increasing pressures due to human‐made and natural reasons. High population growth and economic activities rates have placed extensive pressure on the already limited water resources. Moreover, the prevailing arid climate and the expected impact of climate change will decrease the fresh water availability.

The purpose of this paper is to assess the production risk for winter wheat producers in Beijing, China, particularly in its 13 districts.

A parametric approach is used to model wheat‐yield distribution for samples and the Kolmogorov‐Smirnov test is used to choose the most appropriate yield distribution. Parameters of the special yield distribution are estimated through the maximum likelihood estimation approach.

The Burr distribution is found to be the most appropriate parametric distribution to model winter wheat‐production risks for the districts of Beijing, except in the districts of Fengtai and Shunyi. Findings also show that the Johnson family distribution is the most appropriate model for these two districts (SB for the Fengtai District and SU for the Shunyi District). The wheat‐production loss ratios of the Beijing districts are between 6 and 15 percent, which is considered medium range in most regions. The highest production risks are located in the Western regions of Beijing (Mentougou and Fengtai) while the lowest production risk is located in the Southeastern region of Beijing (Daxing District).

To generate an objective yield trend and an accurate production risk assessment, linear moving average, instead of linear (or quadratic) regression, is used in this paper.

This paper aims to understand the aerodynamic blockage related to near casing flow in a transonic axial compressor using numerical simulations and to design an optimum casing groove for stall margin improvement using a surrogate optimisation technique.

A blockage parameter (Ψ) is introduced to quantify blockage across the blade domain. A surrogate optimisation technique is then used to find the optimum casing groove design that minimises blockage at an axial location where the blockage is maximum at near stall conditions.

An optimised casing groove that improves the stall margin by about 1% can be found through optimisation of the blockage parameter (Ψ).

Optimising for stall margin is rather lengthy and computationally expensive, as the stall margin of a compressor will only be known once a complete compressor map is constructed. This study shows that the cost of the optimisation can be reduced by using a suitably defined blockage parameter as the optimising parameter.

The purpose of this paper is to examine the effectiveness of UK investment firms’ implementation of the requirements in Commission Delegated Regulation 2017/589 (more commonly known as “Regulatory Technical Standard 6” or “RTS 6”) that govern the conduct of algorithmic trading activities.

A qualitative examination of 19 semi-structured interviews with practitioners working for, or with, UK investment firms engaged in algorithmic trading activities.

The paper finds that practitioners generally have a good understanding of the requirements in RTS 6. Some lack knowledge of algorithms, coding and algorithmic strategies but have used best efforts to implement RTS 6. However, regulatory fatigue, complacency, cost pressures, governance in international groups, overreliance on external knowledge and generous risk parameter calibration threaten to undermine these efforts.

The study’s findings are limited to the participants’ insights. Some areas of the RTS 6 regime attracted little comment from participants.

The paper proposes the introduction of mandatory algorithmic trading qualification requirements for key staff; the lessening of the requirements in RTS 6 for automated executors; and the introduction of a recognised software vendor regime to reduce duplication and improve coordination between market participants that deploy algorithmic trading systems.

To the best of the author’s knowledge, the study represents the first qualitative examination of firms’ implementation of the algorithmic trading regime in the second Markets in Financial Instruments Directive 2014/65/EU.

While vaccines are an effective preventative measure to defend against the spread and harmful symptoms of COVID-19, information about COVID vaccines can be difficult to find and conflicting in its coverage of vaccines’ benefits and risks. This study aims to examine the extent to which Americans are searching for information about the three major vaccine producers (Pfizer-BioNTech, Moderna and Johnson & Johnson’s Janssen) in relation to the amount of reliable scholarly information that has been produced about each one.

Data were retrieved from Google Trends for the US Web users alongside scientific research output of the US scientists toward three Centers for Disease Control and Prevention (CDC)-authorized COVID-19 vaccines in Web of Science, Scopus and PubMed. The authors searched for descriptive statistical analyses to detect coronavirus-seeking behavior versus coronavirus releases in the USA from May 1, 2020, to April 30, 2021.

Of the three COVID-19 vaccines, Pfizer has attracted more attention from the US population. However, the greatest number of articles about COVID-19 vaccines published by the US scholars belonged to Moderna (M = 8.17), with Pfizer (M = 7.75) having slightly less, and Janssen (M = 0.83) well behind. A positive association was found between COVID-19 vaccine information-seeking behavior (ISB) on Google and the amount of research produced about that vaccine (P <0.001).

As the researchers use the single search engine, Google, to retrieve data from the USA, thus, selection bias will be existing as Google only gathers the data of people who chose to get the information by using this search engine.

If the policymakers in the US Department of Health and Human Services or the US CDC desire to improve the country’s health ISB and the scientific publication behavior (SPB) of the US researchers regarding COVID-19 vaccines studies, they should reference the results of such a study.

From an infodemiological viewpoint, these findings may support the health policymakers, as well as researchers who work on COVID-19 vaccines in the USA.