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The lack of legal framework on corporate criminal liability (CCL) in Mauritius is a matter of concern with the growing number of corporate crimes. The purpose of the paper is therefore to provide a critical overview of the existing framework on CCL in Mauritius with the aim of underlining its deficiencies and lacunas. As a consequence, an attempt is made to compare the Mauritian model with the French one, so that salient features and characteristics of the French model of CCL can be borrowed into the Mauritian legal framework.

This paper adopts the black-letter approach and the comparative research methodology. The legislative framework of Mauritius on CCL will be compared to the related laws of France with the goal of drawing lessons and inspirations for Mauritius, given that the French model of CCL is well established and highly effective.

The mandatory application of the identification principle in CCL, inspired from the British common law, is a serious impediment towards successful criminal prosecution of companies responsible for criminal offences. In addition, the lack of clear legal provisions on substantive and procedural aspects of CCL is a matter of concern and demonstrates the dire need for legal amendments and action from the legislator as the paper discusses.

To the best of the author’s knowledge, this paper will be among the very first one tackling this area of law from a comparative perspective. The issue of CCL has indeed receive very little academic attention and this paper will help in filling the literature gap on this matter. It will also help future research on the matter for students, academics and corporate law practitioners.

This paper aims to highlight provisions that may attract corporate criminal liability (CCL) in legislation and regulations enacted in Malaysia. Further, this paper identifies gaps or obstacles in the implementation of CCL in Islamic banks (IBs) in Malaysia.

This research adopts the qualitative methodology. More specifically, it uses normative legal research by focusing on primary and secondary data obtained from legislation, regulations, decided case laws, guidelines, law textbooks and bank annual reports in relation to CCL provisions. It also conducts semi-structured interviews with different categories of experts, including legal practitioners (lawyers), regulators from Bank Negara Malaysia (BNM) and Securities Commission Malaysia, officers of the Attorney General's Chambers and officers from legal departments in IBs.

The results conclude that IBs should implement the law on CCL because they are considered corporations. It is also found that not all IBs complied with CCL provisions brought corporate offenders before the court.

This research is restricted by its specialisation in CCL in IBs in Malaysia.

The CCL provision has to be implemented effectively by IBs to achieve the benefit. However, not all IBs implement CCL provision properly. The understanding created by the interview data illuminates the challenges in implementing CCL provisions. Thus, this paper seeks to change the approach in the implementation of CCL provisions by IBs in Malaysia.

The paper touches upon a new area, notably CCL in IBs, which is not well researched in past literature. Although there is a vast research on CCL, corporate crime in IBs in Malaysia is still an unexplored area. This study gives light on the implementation of CCL provisions in IBs.

Computer corpus linguistics (CCL) is a scientific innovation that has facilitated the creation and analysis of large corpora in a systematic way by means of computer technology since the 1950s. This article provides an account of the CCL pioneers in general but particularly of those in Germany, the Netherlands, Sweden, and Switzerland. It is found that Germany and Sweden, due to more advantageous financing and weaker communities of generativists, had a faster adoption of CCL than the other two countries. A particular late adopter among the four was Switzerland, which did not take up CCL until foreign professors had been recruited.

Biocontaminants represent higher risks to occupants' health in shared spaces. Natural ventilation is an effective strategy against indoor air biocontamination. However, the relationship between natural ventilation and indoor air contamination requires an in-depth investigation of the behavior of airborne infectious diseases, particularly concerning the contaminant's viral and aerodynamic characteristics. This research investigates the effectiveness of natural ventilation in preventing infection risks for coronavirus disease (COVID-19) through indoor air contamination of a free-running, naturally-ventilated room (where no space conditioning is used) that contains a person having COVID-19 through building-related parameters.

This research adopts a case study strategy involving a simulation-based approach. A simulation pipeline is implemented through a number of design scenarios for an open office. The simulation pipeline performs integrated contamination analysis, coupling a parametric 3D design environment, computational fluid dynamics (CFD) and energy simulations. The results of the implemented pipeline for COVID-19 are evaluated for building and environment-related parameters. Study metrics are identified as indoor air contamination levels, discharge period and the time of infection.

According to the simulation results, higher indoor air temperatures help to reduce the infection risk. Free-running spring and fall seasons can pose higher infection risk as compared to summer. Higher opening-to-wall ratios have higher potential to reduce infection risk. Adjacent window configuration has an advantage over opposite window configuration. As a design strategy, increasing opening-to-wall ratio has a higher impact on reducing the infection risk as compared to changing the opening configuration from opposite to adjacent. However, each building setup is a unique case that requires a systematic investigation to reliably understand the complex airflow and contaminant dispersion behavior. Metrics, strategies and actions to minimize indoor contamination risks should be addressed in future building standards. The simulation pipeline developed in this study has the potential to support decision-making during the adaptation of existing buildings to pandemic conditions and the design of new buildings.

The addressed need of investigation is especially crucial for the COVID-19 that is contagious and hazardous in shared indoors due to its aerodynamic behavior, faster transmission rates and high viral replicability. This research contributes to the current literature by presenting the simulation-based results for COVID-19 as investigated through building-related and environment-related parameters against contaminant concentration levels, the discharge period and the time of infection. Accordingly, this research presents results to provide a basis for a broader understanding of the correlation between the built environment and the aerodynamic behavior of COVID-19.

The purpose of this paper is to explore multidisciplinary attitudes and environmental factors affecting dementia care in the Cardiac Catheter Laboratory (CCL).

Questionnaires (n=87) were distributed in a hospital CCL in the North of England. The authors utilised the Dementia Attitudes Scale which incorporates two subscales: Social Comfort and Dementia Knowledge. In addition, a newly devised questionnaire asking about perceptions of how the CCL environment affected care of patients with dementia was added.

The response rate was 71 per cent (n=62). Years’ experience in the CCL was associated with lower Social Comfort scores (p=0.026). Dementia training was associated with higher mean Dementia Attitudes Scale and Social Comfort scores (p=0.021, p=0.007). Participants who had undertaken “Professional studies” had higher Dementia Attitudes Scale and Dementia Knowledge mean scores (p=0.038, p=0.046) but “On-the-job” training was perceived as most beneficial (32 per cent, n=20). Unit co-ordinators and nurses felt the CCL was an unfavourable environment for patients with dementia. Care was perceived to be impaired by environmental functionality, equipment and the presence of ionising radiation.

The small sample limits generalisability. Although the Dementia Attitudes Scale is a validated questionnaire it has not been widely used so reliability of these results is unclear.

Caring for patients with dementia has unique challenges especially in areas like the CCL. These results suggest that practical experience and training can affect the perception of staff to patients with dementia hence there may be a need to assess what would be the most appropriate training to give health professionals in the future.

The authors believe this to be the first multi-professional research study into care of patients with dementia in a specialised acute unit. This was the most diverse sample known to have attitudes to dementia measured quantitatively in an acute hospital department and the results need to be replicated before practice should be changed.

This paper aims to investigate and document the effects of copper-clad laminate (CCL) inorganic filler on the hole performance in printed circuit boards drilling process.

Drilling of brittle laminates can result in hole cracking, layer-to-layer delamination and drill-bit wear and tool breakage. Adding large amount of fillers not only shortens the life of the drilling tool but also affects the drilling properties significantly regarding hole quality. This paper introduces the influence of filler content, type, hardness, particle size and the compounding method in the manufacture of the CCL on the drilling performance.

The filler content, filler type, hardness of filler, particle size of filler and the compounding method used for the filler have a great influence on the drilling properties of CCL. The higher the filler content, the larger the particle size and the more the hardness of the filler, the worse the drilling properties. The combination of hard particles like silica with softer particles can improve the drilling performance of CCL.

The paper describes what affects the drilling performance of CCL and how this knowledge can be used to design CCL with good drilling performance.

In the USA, the cruise industry has generated more than $42bn in total economic activities, involving over 356,000 jobs. The largest and most aggressive operator is acknowledged as Carnival Cruise Line (CCL), with a 48.3 per cent market share including all subsidiary companies in 2013. CCL has had a strong track record of reliability and high quality; however, within the past decade, there have been several deviations from standard daily procedure that have altered the way CCL does business. When trying to interpret changes in company performance, it is important to include other factors that may have contributed to changes at the time of any given deviation.

The authors use time series empirical mode decomposition to visualize whether there are short- or long-term shocks to company performance in the wake of deviating events. Besides, a thorough analysis is carried out with multivariable linear regression to identify the factors that really impact CCL’s performance.

This case study shows the seasonal patterns of weather issues with the largest number of hurricanes and tropical storms taking place during the third quarter of each year.

Empirical results will enhance understanding of the industry with regard to such events. It will provide shareholders information and opinions to enhance their decision-making processes.

This article analyses in what way Swiss academic institutions have had a favourable or unfavourable influence on changing research practices by following developments in four scientific areas – Bose-Einstein Condensates, Evolutionary Developmental Biology, Large-Scale Assessments in education research and Computerised Corpus Linguistics. Based on empirical evidence, we argue that overall a number of institutional conditions have had a positive influence on the decisions of scientists to dare a switch to a new scientific field. One finds, however, also differences in the working of these institutional conditions leading to quicker or slower developments of the four selected scientific areas.

The purpose of this paper is to build an easy to implement, pragmatic and parsimonious yet accurate model to determine an exposure at default (EAD) distribution for CCL (contingent credit lines) portfolios.

Using an algorithm similar to the basic CreditRisk+ and Fourier Transforms, the authors arrive at a portfolio level probability distribution of usage.

The authors perform a simulation experiment which illustrates the convolution of two portfolio segments to derive an EAD distribution, chosen randomly from Moody's Default Risk Service (DRS) database of CCLs rated as of 12/31/2008, to derive an EAD distribution. The standard deviation of the usage distribution is found to decrease as we increase the number of puts used, but the mean value remains relatively stable, as the extreme points converge towards the mean to produce a shrinkage in the spread of the distribution. The authors also observe, for the sample portfolio, that an increase in the additional usage rate level also increases the volatility of the associated exposure distribution.

This model, in conjunction with internal bank financial institution research, can be used for banks' EAD estimation as mandated by Basel II for bank CCL portfolios, or implemented as part of a Solvency II process for insurers exposed to credit sensitive unfunded commitments. Apart from regulatory requirements, distributions of stochastic exposure generated can be inputs for different economic capital models and stress testing procedures used to capture an accurate risk profile of the portfolio, as well as providing better insights into the problem of managing liquidity risk for a portfolio of CCLs and similar exposures.

In‐spite of the large volume of CCLs in portfolios of financial institutions all (for commercial banks holding these as well as for insurance companies having analogous exposures), paucity of EAD models, unsuitability of external data and inconsistent internal data with partial draw‐downs have been a major challenge for risk managers as well as regulators in managing CCL portfolios.

Reports on CCL′s product development technique, using a product champion, who should have a market‐led view and a commitment to take the project through from development to peak of production. Suggests that early trial has an influence on the success of a new product and details the various steps needed to achieve this. Presents a case study of a new development by an international company undertaken in collaboration with CCL, using a product champion.