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Mr S. Ajaz Ali, Director, Engineering and Maintenance, PIAC, was born at Delhi in December 1928.

People with an intellectual disability are at an increased risk of developing a mental illness. An estimated 50 per cent develop a significant psychiatric problem at some point in their lives. Since the shifting trend to treat and manage individuals in the community setting, there are concerns over the lack of guidance of how intellectual disability mental health services in the community should be organised. This paper aims to address this issue.

Details of all new referrals made to the mental health of intellectual disability team in Dartford, Kent over a 12‐month period were collated and a questionnaire was used to gather retrospective data of each referral pathway.

There were 50 patients referred in total, with the primary source being GPs (58 per cent). In total, 40 per cent of all referrals were considered to be inappropriate for the mental health of intellectual disability team and the majority of these originated from the adult mental health and child and adolescent mental health service teams.

These findings identify areas of focus for closer liaison with colleagues to improve the quality of referrals and to reduce the demands placed on our service.

FLIGHT OPERATIONS AND ENGINEERING FACILITIES These words are extracts from a statement issued by P.I.A. on 1st March, 1975. Having been to Pakistan as P.I.A.'s guest a year or so later I see no reason to change them.

Michael S. Ridout, Managing Director of Uxbridge‐based Auto Diesels Braby Limited, has been appointed a Director of Braby Leslie Limited, the parent company of Auto Diesels. Braby Leslie Limited are a publicly quoted company and have ten principal operating companies—including Auto Diesels—throughout the UK in the Mechanical and Civil Engineering Fields.

This study examines the short-run and long-run impact of macroeconomic variables such as industrial production index, inflation, exchange rate, interest rate, foreign direct investment and trade balance, on KSE 100 index and sectorial stock indices under bearish, bullish and normal states of the stock market prices. Moreover, we take into account the effect of three crises observed from 2005 to 2009.

This study uses quantile autoregressive distributed lag (QARDL) model for examining the short-run and long-run effect across various quantiles of the dependent variables and compare its' results standard autoregressive distributed lag (ARDL) model.

ARDL estimates indicate that, in the long-run, industrial production index, trade balance and foreign direct investment significantly affect stock prices. These findings remain same when three crises have been taken into consideration. In addition, estimates from QARDL model indicate that, in the short-run, the effect of exchange rate, interest rate, consumer price index and foreign direct investment, varies across bearish, bullish and normal states of the overall stock prices. Moreover, the short-run findings for Auto Assembler, Cement, Commercial Banks sector are consistent with overall stock indices, whereas other sectors, such as, Oil and Gas and Power Generation and distribution are asymmetrically affected by all macroeconomic variables. In the long-run, the effect of all macro-variables varies across different states of the stock markets except industrial production index for Auto Assembler sector, Oil and Gas sector and composite index of KSE 100 index.

We take into account the effect of three crises observed from 2005 to 2009 and also examine the macroeconomic effect across bullish, bearish and normal states of the sectorial stock indices and composite index of Pakistan stock exchange. Finally, we use novel approach, called QARDL model, which has several advantages over other techniques.

This paper examines the factors which impact the behavioral intentions toward cryptocurrency based on signaling theory.

Data were collected through online questionnaire, and responses from 223 individuals in Lebanon were analyzed through SEM technique using Amos 24.

The outcomes portrayed the positive effect of perceived benefits and trust in cryptocurrency on behavioral intentions toward cryptocurrency; while not supporting the hypothesized influence of herd behavior and regulatory support.

This paper is among the first studies to adopt Signaling Theory (ST) in the cryptocurrency behavioral intentions research. Moreover, it is of the initial efforts in Lebanon and Middle East in evaluating behavioral intentions to use cryptocurrency, and it provide insights for future researchers, crypto project owners, crypto investors and crypto trading platforms.

This paper aims to intend for investigating the influence of an inclined magnetic field on the peristaltic flow of a couple stress fluid through an inclined channel with heat and mass transfer.

Long wavelength and low Reynolds number methodology is actualized for simplifying the highly nonlinear equations. Mathematical expressions of axial velocity, pressure gradient and volume flow rate are obtained. Pressure rise, frictional force and pumping phenomenon are portrayed and symbolized graphically. Exact and numerical solutions have been carried out. The computed results are presented graphically for various embedded parameters. Temperature and concentration profile are also scrutinized and sketched.

Results from the current study concluded that the fluid motion can be enhanced by increasing the inclination of both the magnetic field and the channel.

The elemental characteristics of this analysis is a complete interpretation of the influence of couple stress parameter and inclination of magnetic field on the velocity, pressure gradient, pressure rise and frictional forces.

The objective of this chapter is to study the symmetric and asymmetric impact of macroeconomic variables on the Indian stock prices (SPs) of the Bombay Stock Exchange index. This chapter further investigates whether the asymmetric impact of macroeconomic variables on SP is due to the impact of any tail events like the global financial recession. An autoregressive distribution lag and non-autoregressive distribution lag approach is used for the full sample covering the period from January 2000 to June 2019 and later this sample is further subdivided into before and after the crisis period to study the variations in result. The findings show that macroeconomic variables and SP have a symmetric relation in the long run whereas an asymmetric relationship in the short run when the whole sample is analyzed. However when data are segregated into “before and after” crisis period this relationship turns to be asymmetric in long run too, meaning that in the long run, the negative and positive changes in a macroeconomic variable do not affect SPs similarly.

The extended unified theory of acceptance and use of technology (UTAUT2) model has been adapted and applied by scholars to gain insight into mobile banking (m-banking) usage. By combining three perspectives, UTAUT2, gamification (GM) and generational cohort theory, this study aims to investigate the factors which impact m-banking usage and examine the moderating effect of generations Y and Z on the relationship between GM and intention to use m-banking.

The adopted model was tested in a quantitative study by using partial least square structural equation modelling. A total of 380 valid questionnaires from a transition country, Albania, have been examined.

In the study, scientific evidence concerning the UTAUT2 model and GM elements are provided. Thus, facilitation conditions, habit and hedonic motivation were found to be significant determinants of GM. Moreover, the results revealed that age moderates the relationship between GM and behavioural intention (BI). Compared to generation Z, individuals born prior to 1996 (generation Y), exhibited a much stronger relationship.

Although Albania bears similarities with other transition countries in terms of regional, economic and political environments, the generalisation of these results to another context is rather limited.

This paper offers a model integrating UTAUT2, GM and generational cohorts in the context of a transition country. The findings can be applied in the form of guidelines for a number of financial institutions.

Besides identifying the determinants of m-banking adoption and GM, this study notably reveals the importance of generational cohorts because it governs the effect of GM on m-banking BI.