Institutional Sources of Resilience in Global ICT Leaders - Harness the Vigor of Emerging Power

In light of the significant impacts on global economy both nations and firms witnessed a dramatic advancement of information and communication technology (ICT). There was particularly bi-polarization between ICT advanced and growing economies compelling a vicious cycle between ICT advancement and its productivity decline in these economies. The institutional sources of resilience were analyzed. On the basis of an empirical analysis comparing technopreneurial performance in world top 500 ICT firms by market value, sales and profit over the last decade, resilient firms maintaining world top 100 position by all three values over the whole period were identified. Institutional sources enabling resilient firms maintain leading position can largely be attributed to co-evolutionary acclimatization ability, which harnesses the vigor of emerging power of counterparts both in home countries and in advanced countries as well as growing economies in a co-evolutional way. Such ability maximizes synergy between efficiency and resilience in their technopreneurial management. Contrasting business model in global ICT firms with and without resilience structure suggests the sources of emerging trap due to ICT advancement and endorsed the significance of co-evolutionary acclimatization. This suggests the significance of institutional co-evolution between ICT advanced and growing economies that enables both economies to harness the vigor of partners for global sustainability

Resonance between Innovation and Consumers: Suggestions for Emerging Market Customers

Consumption increase in emerging markets is significant for global sustainability as it helps in overcoming structural impediments that impede investment inducement. In this light, the paper aims at demonstrating a hypothesis that resonance between innovation and consumers triggers co-emergence of investment essential for an emerging market and further analyses resonant behavior between attractive goods and consumers. The elevation in face temperature of consumers looking at attractive goods was measured at the event corner of a Japanese supermarket by utilizing thermography. Noteworthy findings obtained include that consumer temperatures increase as they perceive, recognize and decide to purchase attractive goods while elevated temperatures decrease when the goods are not attractive enough to purchase. Consumer couples also incorporate a general tendency to converge toward the same decision in a resonant way. Through correlation analysis of sales records, it was demonstrated that sales of attractive goods represents innovation which increases by resonating consumer demand through construction of a spirally developing virtuous cycle. These findings provide a constructive suggestion for stimulating latent consumer vitality in emerging markets as a way of inducing investment

Co-emergence of Institutional Innovation Navigates the New Normal in Growing Economies

Increasing fear of the global simultaneous stagnation derived from the Euro-crisis together with the New Normal in growing economies reveals the limit of individual strength leading to the significance of fusion with global best practices. Dramatic advancement of the Internet has enabled consumers in any nation to choose and learn from world’s strongest suppliers. Both trends inevitably necessitate co-emergence of institutional innovation between suppliers and consumers for sustainability. On the basis of an empirical analysis comparing institutional systems in 100 nations, this paper demonstrates the significance of this co-emergence thereby navigating the New Normal in growing economies

Structural Source of the Trap of ICT Advancement - Lessons from World ICT Top Leaders

In light of the significant consequence of the trap of dramatic advancement of information and communication technology (ICT) in the global economy, both nations and firms that have been compelling their productivity decline. This resulted in great stagnation of ICT advanced economies and therefore its structural sources were analyzed. Based on an empirical analysis tracing, the trend in marginal productivity of ICT and its subsequent prices among the top ICT leaders in the world over the last two decades correlating with the effects of ICT, two faces of ICT advancement were identified. On one side, advancement of ICT contributes to its prices increase by new functionality development, its dramatic advancement particularly centered by internet results in the decline of its prices through freebies, easy copying, and standardization. It was demonstrated that the success of ICT leaders could largely be attributed to the way in which the two faces of ICT advancement were managed by maximizing the positive face of ICT advancement. This is done by means of the effective utilization of external resources in innovation while minimizing the negative face by outsourcing price decreasing factors. All of the aforementioned points can be invaluable lessons for global sustainability in both ICT advanced and growing economies in the midst of the advancement of ICT. The significance of innovation-consumption co-emergence for harnessing the vigor of counterparts is discussed

Dual Hybrid Management of Technology: Co-evolution with Growing Economies

Given the increasing significance of the co-evolution between advanced and growing economies for problem-solving innovation that aims at solving global critical issues, this paper attempts an empirical analysis to identify the optimal co-evolutionary trajectory, which could benefit both advanced and growing economies. While Japan has succeeded to develop the hybrid management of technology fusing indigenous strength and learning ability, it has revealed some limitations during the global simultaneous economic stagnation. The analysis suggests that the dual hybrid management of technology coevolving also with growing economies is decisive to the problem-solving innovation of the nation. This benefits nations in growing economies as well. This paper provides new insights into the problem-solving innovation, and also inducing strategy of growing economies for global sustainability

Low-power, high-linearity transconductor with a high tolerance for process and temperature variations

Funding Information: This research was supported by the Major State Basic Research Development Programme of China (2018YFE0206500). Publisher Copyright: © The Institution of Engineering and Technology 2020. This is the peer reviewed version of the following article: Zhao, J., Sun, Y., Nie, G., Simpson, O. and Xu, W. (2020), Low‐power, high‐linearity transconductor with a high tolerance for process and temperature variations. IET Circuits Devices Syst., 14: 1295-1304. https://doi.org/10.1049/iet-cds.2019.0565. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.A novel scheme for tunable complementary metal–oxide–semiconductor (CMOS) transconductor robust against process and temperature (PT) variations is presented. The proposed configuration is a voltage controlled circuit based on a double negative channel-metal-oxide-semiconductor (NMOS) transistor differential pairs connected in parallel, which has low power and high linearity. The PT compensation is completed by two identical PT compensation bias voltage generators (PTCBVGs), which can guarantee the designed transconductor high tolerance for PT variations. A complete CMOS transconductor with PTCBVG has been designed and simulated using 0.18 μm technology. The effectiveness of PT compensation technique is proved. The simulation results of post-layout are commensurate with pre-layout. Post-layout simulation results show that when temperature changes from - 40 to 85°C for different process corners (TT, SS, SF, FS and FF), the transconductance varies from 91.8 to 123.6 μS, the temperature coefficient is <1090 ppm/°C, the total harmonic distortion is from - 78 to -72dB at 1 MHz for 0.2 V PP input signal, -3 dB bandwidth changes from 2.5 to 5 GHz, input-referred noise varies from 78.1 to 124.8 nV/sqartHz at 1 MHz and DC power is from 1.5 to 3.2 mW.Peer reviewe

Hypopharyngeal Cancer: Staging, Diagnosis, and Therapy

Hypopharyngeal carcinoma is uncommon in all head and neck cancers. With a synergistic reaction of each, tobacco consumption and alcohol abuse contribute to the tumorigenesis. The aerodigestive tract epithelium exposure to similar risks causing multiple cancers. Thus, a pan-endoscopic screening offers a practical approach for evaluating second primary esophageal cancer. The common symptoms of hypopharyngeal carcinoma were globus pharyngeus, sore throat, dysphagia, otalgia, neck mass, hoarseness, and dyspnoea. However, approximately 75–80% of patients are initial diagnosed with advanced-stage. Although improvements in therapy, the prognosis is still lacking. In early-stage patients, primary surgical resection and radiotherapy achieved similar survival and locoregional control rates. T1–T2 malignancies with N0–N1 can usually be treated with radiation alone, open surgery, or transoral surgery. In some people, after primary surgery or transoral approaches is often required adjuvant radiotherapy. However, most cases have been in the advanced-stage when screened. Individual therapy programs should be chosen carefully to achieve a balance between swallowing-voice rehabilitation and organ preservation in advanced-stage ones. Meanwhile, reasonable reconstruction of intraoperative defect is essential for a surgeon who seeks satisfied postoperative outcomes. Considerable treatment (surgery or non-surgery) remains the key point of improving the survival rate

CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models

Parameter-efficient tuning (PET) has been widely explored in recent years because it tunes much fewer parameters (PET modules) than full-parameter fine-tuning (FT) while still stimulating sufficient knowledge from large language models (LLMs) for downstream tasks. Moreover, when PET is employed to serve multiple tasks, different task-specific PET modules can be built on a frozen LLM, avoiding redundant LLM deployments. Although PET significantly reduces the cost of tuning and deploying LLMs, its inference still suffers from the computational bottleneck of LLMs. To address the above issue, we propose an effective PET framework based on compressed LLMs, named "CPET". In CPET, we evaluate the impact of mainstream LLM compression techniques on PET performance and then introduce knowledge inheritance and recovery strategies to restore the knowledge loss caused by these compression techniques. Our experimental results demonstrate that, owing to the restoring strategies of CPET, collaborating task-specific PET modules with a compressed LLM can achieve comparable performance to collaborating PET modules with the original version of the compressed LLM and outperform directly applying vanilla PET methods to the compressed LLM