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The purpose of the study is to design and develop an pervasive and smart Internet of Things (IoT)-based sensor system to monitor he real-time intravenous (IV) fluid bag level.

This paper investigates such issue and performs several experiments to develop a non-invasive, semi-automatic system to monitor IoT-based IV fluid level in real-time.

The outcome of this study is a prototype hardware that includes an ESP8266 based embedded Web server to disseminate the fluid exhaust status flag to its connected users. Nurses can get the prompt intimation about the status of IV fluid bag whether it is about to get empty.

IoT is the backbone of the proposed system. Multi-master system need to be studied in future.

Non-invasive and real-time IoT-based novel technique is developed with power-efficient and cost-effective pervasive sensors.

This is applicable for pervasive and assistive e-health-care services by care givers and medical professionals.

The deployed system is controlled by ATtiny85 with help of LM35 temperature sensor. The results show a promising future of the proposed development in enhancing IoT-based smart health-care service in the coming days.

China has emerged as an undisputed leader of global business and as a preferred hub for global value chains. However, recent threats of the trade war, the allegation of violation of intellectual property rights and more recently the COVID-19 pandemic seemed to have dampened China’s attractiveness. Multinational corporations may be contemplating diversifying their dependence on China – a strategy known as “China-Plus-One”. What could be possible destinations in Asia for such a diversification strategy?

Towards understanding the “China-Plus-One” phenomenon, the authors use a methodology of arriving at an aggregate ranking of the major economies of emerging Asia. This is built on a few standard indices such as World Bank's Logistic Performance Index; World Bank’s Ease of Doing Business Indicator; World Economic Forum’s Global Competitiveness Index; Economic Complexity Index of the Harvard University; Economist Magazine’s Country Rating of Financial Strength; and Corruption Perception Index compiled by the Transparency International. Accordingly, the authors rank seven countries (namely, Thailand, Malaysia, India, Vietnam, Indonesia, the Philippines and Bangladesh) next to China as possible destinations for selecting the “Plus one” country.

In the aggregate ranking, China ranks first followed by Thailand, Malaysia, Philippines, India, Indonesia, Vietnam and then Bangladesh. This sequence gives some pointers on the possible shifts from China as potential hubs of global value chains. The authors observe the following: first, it is challenging to move away from China in the short run; second, corporations could pursue a “China-plus-One” strategy, whereby they may move marginally from China and relocate part of their supply chain elsewhere; third, in looking for alternative locations, corporations may look for the following countries in emerging Asia, namely, Thailand, Malaysia, India, Vietnam, Indonesia, Philippines and Bangladesh.

The aggregate ranking method applied in this paper is one of the first applications in the context of ranking developing Asian economies based on economic, logistics, supply chain, financial and corruption metrics. It is one of the first conceptual works in the domain of identifying possible diversification options for the “China-Plus-One” strategy that can be extended to include many context-specific rankings.

Background: Every so often, one experiences different physically unstable situations which may lead to possibilities of suffering through vicious physiological risks and extents. Dynamic physiological activities are such a key metric that they are perceived by means of measuring galvanic skin response (GSR). GSR represents impedance of human skin that frequently changes based on different human respiratory and physical instability. Existing solutions, paved in literature and market, focus on the direct measurement of GSR by two sensor-attached leads, which are then parameterized against the standard printed circuit board mechanism. This process is sometimes cumbersome to use, resulting in lower user experience provisioning and adaptability in livelihood activities. The purpose of this study is to validate the novel development of the cost-effective GSR sensing system for affective usage for smart e-healthcare.

This paper proposes to design and develop a flexible circuit strip, populated with essential circuitry assemblies, to assess and monitor the level of GSR. Ordinarily, this flexible system would be worn on the back palm of the hand where two leads would contact two sensor strips worn on the first finger.

The system was developed on top of Pyralux. Initial goals of this work are to design and validate a flexible film-based GSR system to detect an individual’s level of human physiological activities by acquiring, amplifying and processing GSR data. The measured GSR value is visualized “24 × 7” on a Bluetooth-enabled smartphone via a pre-incorporated application. Conclusion: The proposed sensor-system is capable of raising the qualities such as adaptability, user experience, portability and ubiquity for possible application of monitoring of human psychodynamics in a more cost-effective way, i.e. less than US$50.

Several novel attributes are envisaged in the development process of the GSR system that made it different from and unique as compared to the existing alternatives. The attributes are as follows: (i) use of reproductive sensor-system fabrication process, (ii) use of flexible-substrate for hosting the system as proof of concept, (iii) use of miniaturized microcontroller, i.e. ATTiny85, (iv) deployment of energy-efficient passive electrical circuitry for noise filtering, (v) possible use case scenario of using CR2032 coin battery for provisioning powering up the system, (vi) provision of incorporation of internet of things (IoT)-cloud integration in existing version while fixing related APIs and (vii) incorporation of heterogeneous software-based solutions to validate and monitor the GSR output such as MakerPlot, Arduino IDE, Fritzing and MIT App Inventor 2.

This paper is a revised version R1 of the earlier reviewed paper. The proposed paper provides novel knowledge about the flexible sensor system development for GSR monitoring under IoT-based environment for smart e-healthcare.

World over, change of base year in the gross domestic product (GDP) is a standard practice of GDP estimation. However, unless a consistent series of GDP is released with respect to the new base for the earlier period, the existence of multiple growth rates creates problems for applied researchers, policymakers and the general public alike. Faced with such a menu of GDP series researchers often try to interpolate a consistent series of GDP. The main purpose of this paper is to analyses the nature of the data generating process of such multiple interpolated series of quarterly growth rates and tries to discern the consistency of such processes.

The present paper tries to look into the statistical implications and complications of such interpolated quarterly GDP/growth series in India in terms of three series of GDP, namely, with 1999–2000, 2004–2005 and 2011–2012 as its bases.

The analysis reveals that as a result of a change of base year, the nature of the data generating process of the old and new GDP series could undergo changes and experience different breakpoints. While all these conclusions seem to be valid for GDP growth at quarterly intervals, taking the data at annual frequency is less problematic.

The observation suggests that in most applied work, researchers may not have the luxury of only working with annual data and certain consistency checks will be necessary to check the veracity of the results based on quarterly data with those based on annual data. Second, moving forward it may be useful for the Authorities to make a transition to a chain-based linking method rather than fixed time-period-based bases as is currently done.

The analysis of Indian GDP in this paper is, perhaps, indicative of the fact that usage of quarterly GDP data is to be handled with caution and it is preferable that any serious empirical analysis uses annual GDP data whenever it is available/feasible. The comparison of GDP growth rates at different frequencies and examining the true nature of the process are quite unique in their contribution towards empirical macroeconomic research.

Continuous glucose monitoring (CGM) is a notable invention introduced in the biomedical industry. It provides valuable information about intermittent capillary blood glucose that is normally unattainable by regular clinical blood sample tests. CGM includes several progressive facilities such as instantaneous and real-time display of blood glucose level, “24/7” coverage, continuous motion of alerts for actual or impending hypo- and hyperglycemia and the ability to characterize glycemic variability. CGM allows users and physicians to visualize and diagnose more accurate and precise rate of change of glucose by capacitating small, comfortable, user-friendly sensor devices. Sometimes, this vital information is shared to the personal message box over Internet. In short, CGM is capable to inform, educate, motivate and alert (IEMA) people with diabetes. Despite the huge expectation with CGM, the available solutions have not attracted much attention among people. The huge potential of CGM in future diabetic study relies on the successful implication of the CGM. This paper aims at disseminating of state-of-the-art knowledge about existing work around the CGM.

This paper presents a comprehensive systematic review on the recent developments in CGM development techniques that have been reported in credible sources, namely PubMed, IEEE Xplore, Science Direct, Springer Link, Scopus and Google Scholar. Detailed analysis and systematic comparison are provided to highlight the achievement and future direction of CGM deployment.

Several key challenges are also portrayed for suitable opportunistic orientation. CGM solutions from four leading manufacturers such as Tandem, Dexcom, Abbott and Medtronic are compared based on the following factors including accuracy (% MARD); sensor lifetime, calibration requirement, smart device, compatibility and remote monitoring. Qualitative and quantitative analyses are performed.

This work can be a valuable source of reference and guidance for future research in this field.

During the last few decades, there have been significant divergences in the flows of foreign direct investment (FDI) as per decisions taken by multinational companies (MNCs), and many of the developing nations in the Asia and Pacific region are most remarkable in this regard (UNCTAD, 2015). Apart from various economic factors, some sociopolitical issues have also been identified as influencing the FDI decisions. This study investigates the comovements of the standard measures of terrorist activities and MNCs’ decision on FDI in selected developing countries in the Asia and Pacific region by employing Generalized Method of Moment (GMM) estimation technique on constructing a balanced panel for 1990–2016. Results summarize that FDI inflows are negatively influenced by terrorist activities in the developing economies of the Asia and Pacific region.

The impact of natural disasters on human life, the environment and the flora and fauna can be contained to large extent by intelligent human intervention. This study introduces the human capabilities which can be extended considerably with technology. Internet of things have always provided opportunities for predicting and managing manmade/natural disasters. The extreme reason for causing soil erosions, landslides, cloud bursts, floods, etc., are due to excessive rainfall. However, the flood is one of the most happening natural disasters, following Bihar to be the most affected region due to floods. Lots of lives and properties were lost and damaged.

This implemented researchers to introduce an advanced solution for such calamities. Expectations were developed that it would signalize authority as early as possible so that advanced measures are taken before the effect. The lack of sensing or alarming technology in India pushed researchers to develop a model using the Android app that basically detected the upcoming flood and other calamities.

Most importantly the entire model was programmed with IoT and its techniques so that the response is quicker and more accurate.

This research study is original.