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We present a new analog-to-digital converter (ADC)-based architecture of a phase-tracking receiver (PT-RX) optimized for ultra-low-power (ULP) and ultra-low-voltage (ULV) operations for the Internet of Things (IoT). The RX employs a type-II loop configuration that offers improved stability compared with the previous type-I PT-RX solutions. In addition, the type-II loop is also very tolerant of long run-lengths of consecutive "1" or "0" symbol sequences. Fabricated in 28-nm CMOS, the prototype PT-RX targets Bluetooth low energy (BLE) standard consuming only 1.5 mW at a supply of ≤0.7 V. It maintains an adjacent-channel rejection (ACR) of ≥−11/3.5/17/27 dB at 0/±1/±2/±3 MHz offset and can tolerate out-of-band (OOB) blockers of minimum −21 dBm across 1.0-3.5 GHz while also offering a best-in-class figure of merit (FoM) of 181 dB, with a 1-Mb/s BLE sensitivity of −93 dBm. Index Terms-Bluetooth low energy (BLE), digitally controlled oscillator (DCO)-based receivers (RXs), discrete-time (DT) filter, Internet-of-Things (IoT), phase-tracking RXs (PT-RXs), successive-approximation-register (SAR)-analog-to-digital converter (ADC), ultra-low power (ULP), ultra-low voltage (ULV). I. INTRODUCTION T HE massive deployment of Internet-of-Things (IoT) applications calls for ultra-low-power (ULP) and ultralow-voltage (ULV) design techniques for system-on-chip (SoC) devices realized in nanoscale CMOS [1]-[4]. The RF receiver (RX) is a key IoT subsystem that takes a significant portion of the IoT's total power budget. In the industry, commercial RXs using Cartesian [i.e., in-phase/quadrature (I/Q)] topology [5], [6] aimed at Bluetooth low energy (BLE), a dominant standard in IoT devices, consume 5-10 mW. A more recent industry work [1], a superheterodyne discrete-time (DT) Cartesian RX, achieves the lowest power of 2.75 mW with a sensitivity of −95 dBm. However, it becomes more and more challenging to further reduce the power allocation for the RX,

The study aims to assess the impact of foreign direct investment (FDI) and international trade (export and import) on Vietnam's economic growth for the 2000-2018 period. Secondary data is taken from the General Statistics Office of Vietnam. Ordinary least-square method is used in analyzing the impact of FDI, export and import on economic growth of Vietnam. Empirical test results show that FDI and international trade are related to Vietnam's economic growth. However, each economic variable has a different impact. FDI has a positive and statistically significant influence on economic growth of Vietnam. Export also has positive and statistically significant impact to the economic growth, while import has a negative but not statistically significant effect. The result is useful for the policy makers of Vietnam on foreign economic relations. In order to improve the effect of FDI and international trade on growth of the economy, the government of Vietnam should: (1) continue applying preferential policies to attract FDI; (2) select foreign investors aiming to quality, efficiency, high technology and environmental protection; (3) continue pursuing export-oriented policy; (4) enhance the added value of exported goods and control the type of imported goods; (5) further liberalize trade through signing and implementation of international trade commitments.

Previous studies have been silent on how institutional factors influence scientists’ entrepreneurial cognitions and behavior. Transition economies offer a unique opportunity for addressing this issue since different generations of scientists experienced vastly different ideology and management systems. Built on the entrepreneurial cognitions and contextualization views and interview data from scientists in Vietnam, this study found that scientists internalized institutional factors to form their motivations, partnership approaches, and behavioral competencies, which in turn influence their chosen modes of entrepreneurship. This suggests that new institutions which address younger generations and focus on developing entrepreneurial qualities are pertinent to promote commercialization in transition economies.

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This study uses the theory of planned behavior, and social cognitive career theory, to examine the effect of entrepreneurial education, entrepreneurial mindset, and cognitive mediators on entrepreneurial intention and entrepreneurial competencies. Adopting a cross‐sectional design, it uses data from 290 university students, from a variety of academic backgrounds, to test several hypotheses using partial least squares structural equation modeling. The results show that entrepreneurial education and cognitive mediators are critical for stimulating entrepreneurial behavior. The results also show that entrepreneurial mindset is formed from entrepreneurial education, and that it plays a vital role in driving entrepreneurial intention. Finally, our results indicate that entrepreneurial passion is a moderator that shapes self‐efficacy and attitudes towards entrepreneurship. These findings offer insights that could act as a reference point for academicians, educators, or anyone else who engages in creating or expanding knowledge related to entrepreneurship.

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