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The purpose of this paper is to develop e-health and patient monitoring systems remotely to overcome the difficulty of patients going to hospitals especially in times of epidemics such as virus disease (COVID-19). Artificial intelligence (AI) technology will be combined Internet of Things (IoT) in this research to overcome these challenges. The research aims to select the most appropriate, best-hidden layers numbers and the activation function types for the neural network (NN). Then, define the patient data sent through protocols of the IoT. NN checks the patient’s medical sensors data to make the appropriate decision. Then it sends this diagnosis to the doctor. Using the proposed solution, the patients can diagnose and expect the disease automatically and help physicians to discover and analyze the disease remotely without the need for patients to go to the hospital.

AI technology will be combined with the IoT in this research. The research aims to select the most appropriate’ best-hidden layers numbers’ and the activation function types for the NN.

Decision support health-care system based on IoT and deep learning techniques was proposed. The authors checked out the ability to integrate the deep learning technique in the automatic diagnosis and IoT abilities for speeding message communication over the internet has been investigated in the proposed system. The authors have chosen the appropriate structure of the NN (best-hidden layers numbers and the activation function types) to build the e-health system is performed in this work. Also, depended on the data from expert physicians to learn the NN in the e-health system. In the verification mode, the overall evaluation of the proposed diagnosis health-care system gives reliability under different patient’s conditions. From evaluation and simulation results, it is clear that the double hidden layer of feed-forward NN and its neurons contain Tanh function preferable than other NN.

AI technology will be combined IoT in this research to overcome challenges. The research aims to select the most appropriate, best-hidden layers numbers and the activation function types for the NN.

The purpose of this paper is to give another perspective on the definition of doubtful activities (Shubuhat) in the context of Islamic finance activities.

This study used qualitative approach from interviews with experts in Islamic finance and religious scholars.

This study highlights the synthesized Shubuhat definition from the previous studies and the contemporary religious experts. Therefore, the definition of Shubuhat has been conceptualized to Islamic finance in this study. This proposes a novel operational definition of Shubuhat from the Islamic finance perspective.

This study would enlighten the Ummah and contribute to knowledge to provide clarification on the Shubuhat fundamentals for further investigations and with more detailed description of the Shubuhat. Also, this study introduces a value chain of Sharīʿah-compliance by adding the elements of Shubuhat to the general understanding of Sharīʿah-compliance which has been generally understood as having the elements of halal and haram.

The purpose of this study is to look at the structure of the interactions between the board of directors’ chairman qualities such as chairman independence, tenure, ethnicity, age- and impression management (IM).

The research population consists of non-financial Malaysian companies listed on Bursa Malaysia’s Main Market, using data gathered via annual reports and DataStream. The study relies on the ordinary least square regression to test the direct relationships between the directors’ chairman characteristics and IM. Moreover, robustness and sensitivity tests were used to examine the effectiveness of chairman characteristics with IM. Furthermore, the results rely on the FGLS regression as an additional test. The study found that chairman independence, chairman ethnicity and chairman age have a significant impact on IM.

The results reveal that chairman independence has a negative association with qualitative IM (IMSC1). Moreover, chairman ethnicity has a positively significant relationship with qualitative IM (IMSC1) and quantitative IM (IMSC2). Also, the effectiveness of chairman characteristics has a negative and significant association with IMSC1.

The primary goal of this paper is to fill a gap in the literature and to open up opportunities for more in-depth research on the subject. So far, there has been no research into the impact of the board chairman’s (BC) personality on IM. This study serves as a warning to policymakers, businesses and their stakeholders, as well as researchers, about the importance of BC characteristics, which may impede the effectiveness of corporate governance mechanisms. The paper provides a framework for investigating these characteristics in the context of IM.

The purpose of this paper is to examine the effects of pricing mechanism on initial public offerings (IPOs) oversubscription in Pakistan.

This study used cross-sectional data to analyse 85 listed IPOs on the Pakistan stock exchange during the period of 2000-2017 to assess hypotheses related to influential determinants of IPO oversubscription. Accordingly, ordinary least square, robust regression and quantile regression approaches were applied in this study to evaluate the factors that influenced oversubscription.

The outcome displayed pricing mechanism is negatively significant with an oversubscription of IPOs. This indicates firms using the fixed-price mechanism signalled higher information asymmetry and uncertainty in their value. Thus, investors are aware that they will be offset with underpricing, and it is expected the demand will be higher for the particular IPOs.

This study is entirely focused on the available information of prospectus that should not be ignored by potential investors at the time of subscription of IPO. Therefore, the study contributes to extending the available literature in signalling theory whereby issuers should consider using the book-building pricing mechanism in enhancing the efficiency of the IPO offer price during the listing.

This paper provides evidence for the determinants of the IPO oversubscription.

It is now well-established that good water quality is associated with economic prosperity, reduced incidence on public health and the good functioning of the various ecosystems found in our environment. Water contamination is mostly related to both diffused (agricultural lands and geologic rock degradations) and point sources of pollution. Mauritius has many water resources which depend solely on precipitation for their replenishment. Water parameters which are of relevance include total dissolved solids (TDS), temperature, pH, electrical conductivity, turbidity, dissolved oxygen, dissolved and particulate organic carbon and major cations and anions. The traditional methods of analysis for these parameters are mostly using electrical and optical methods (probes and sensors in the field), while chemical titrations, Flame AAS and High-Performance Liquid Chromatography techniques are carried out in the laboratory. Image Classification techniques using neural networks can also be used to detect the presence of contaminants in water. In addition to basic water quality parameters, the field sensors range have been extended to cover important major ions and can now be integrated with Artificial Intelligence (AI)-based models for the prediction of variations in water quality to better protect human health and the environment, reduce operation costs of water and wastewater treatment plant unit processes.

The purposes of this paper are 1) to develop model of long term financial health for logistics companies in Thailand 2) to identify factors that determine long term financial stability. Many researchers currently provide factors affecting financial health. Most factors refer to financial ratios, not many non-financial ratios such as age and size have been mentioned. This paper considers both financial and non-financial ratios that affect financial performance of Logistics companies in Thailand. The study has covered some interesting non-financial ratios such as Nationality of Shareholders, type of network in Logistics Company, growth rate (consisted of sales growth rate/profit growth rate/asset growth rate / Liability growth rate) and variable of growth rates. The target group is 110 logistics companies in Thailand enlisted from Department of International Trade Promotion Ministry of Commerce, Royal Thai Government. The group is divided into three categories according to financial health of company; Healthy financial, Unhealthy (Distress) and normal situation. The Multidiscriminant Analysis (MDA) is applied to analyze the differentiations among the three categories. Significant variables from MDA will be used as the independent variables for Multimonial Logistic Regression Analysis (MLRA) to identify factors that determine long terms financial stability. This paper find CF/D, RE/TA, BE/TL, Size, Age, Type of network, Nationality of Shareholders and Number of Shareholders are significant factors determine long term financial stability of Logistics company in Thailand.

The purpose of this study is to explore a theoretical model using the push-pull-mooring framework which adopts both direct and moderating effects, in relation to building antecedents of Muslim switching intention (SI) from using cash to mobile payment (m-payment).

The data collected were 317 respondents, then processed using the partial least squares structural equation modeling approach (SEM-PLS). Furthermore, advanced PLS techniques such as PLS predict, blindfolding and importance-performance map analysis are used to verify the statistical analysis of findings.

This research underlines the importance of religious commitment factor when talking about Muslims SI to use m-payment. Moreover, the features of m-payment, such as enjoyment, efficiency, security and convenience, have contributed to the driving and attracting factors for Muslim individuals to switch from cash to m-payment.

Fundamentally it is highly recommended that the highest concentration of service provider strategies is always obeying the principles of Islamic finance, with regard to the Muslim community as their target market. Specific to the government, the distribution of supporting infrastructure and literacy of new technologies such as m-payment are still important points in an effort to create a cashless society.

The model in this study emphasizes the internal and external construction of a Muslim in relation to the behavior of SI from using cash to m-payment. Thus, the construction of the model that has been built is considered to bring more relevant factors to explain the m-payment adoption behavior of a Muslim from various perspectives.

This paper aims to study the effect of different organic solvents on the extraction of pigments present in callus cultures of E. cinerascens.

Attempts have been made to extract pigments from callus cultures through tissue culture system as an alternative replacement for conventional plant cultivation as tissue culture provides unlimited supplies of plant samples. Callus of E. cinerascens was induced from stem explant cultured in Murashige and Skoog medium supplemented with combination of 0.5 mg/L 6-benzylaminopurine and 0.5 mg/L α-naphthaleneacetic acid maintained under photoperiod of 16 h light and 8 h dark. Fresh samples of the callus were harvested and dissolved in various types and concentrations of solvents such as 100 per cent acetone, 80 per cent acetone, 95 per cent ethanol, 100 per cent methanol and 90 per cent methanol. Each of the mixtures was directly centrifuged to get clear supernatant containing pigments of interest. The pigments were detected and subsequently quantified via two simple techniques, ultraviolet-visible (UV-Vis) spectrophotometer and thin layer chromatography (TLC).

UV-Vis spectrophotometer detected two families of pigments present in the callus cultures, namely, carotenoids (carotene and xanthophyll) and tetrapyrroles (chlorophyll a and b). Pigment contents in various solvent extractions were estimated using spectroscopic quantification equations established. Through TLC, spots were seen on the plates, and Rf values of each spots were assessed to indicate the possible existence of carotenoids and tetrapyrroles.

This preliminary study offers significant finding for further advance research related on natural pigments extracted from E. cinerascens that would provide profits in the future applications, especially in food industry, medicine, agriculture, etc.