Data Analytics for COVID-19 Pandemic

Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, the pandemic situation has begun to undergo positive changes with the joint efforts of various countries and world organizations. However, pressures such as the COVID-19 mutations and the sharp rise in confirmed cases have brought uncertainties to the prevention and control of the pandemic. The overall situation is still severe and complex. Based on the multi-dimensional spatial-temporal COVID-19 data collected by the open-source NetEase News (NEN) website and a real-time dynamic website, it is to explore the characteristics of the pandemic data, visualize the development trend, and analyze the spread of the pandemic in this paper. Moreover, it is to provide a rule basis for the prevention and control of the COVID-19 pandemic by constructing the decision tree model. From the results, some suggestions are provided for decision-makers.

Development and Application of Fiber-Optic Sensing Technology for Monitoring Soil Moisture Field

Accurate acquisition of the moisture field distribution in in situ soil is of great significance to prevent geological disasters and protect the soil ecological environment. In recent years, rapidly developed fiber-optic sensing technology has shown outstanding advantages, such as distributed measurement, long-distance monitoring, and good durability, which provides a new technical means for soil moisture field monitoring. After several years of technical research, the authors’ group has made a number of new achievements in the development of fiber-optic sensing technology for the soil moisture field, that is, two new fiber-optic sensing technologies for soil moisture content, including the actively heated fiber Bragg grating (AH-FBG) technology and the actively heated distributed temperature sensing (AH-DTS) technology, and a new fiber-optic sensing technology for soil pore gas humidity are developed. This paper systematically summarizes the three fiber-optic sensing technologies for soil moisture field, including sensing principle, sensor development and calibration test. Moreover, the practical application cases of three fiber-optic sensing technologies are introduced. Finally, the development trend of fiber-optic sensing technology for soil moisture field in the future is summarized and prospected.

Analysis of Matching of Corpus Input and English Proficiency Based on the Big Data Neural Network Model

In the era of “Internet +” big data, the theory and technology of English corpus are becoming more and more mature. Corpus is an important method to reflect some language characteristics and clarify some language phenomena. In terms of cultural exchanges, Chinese students majoring in English have obvious cultural differences at home and abroad and lack the atmosphere and context for cultural exchanges. In addition, students have problems such as insufficient cultural communication skills. The big data neural network model is adopted in this paper to compare and analyze the intermediary sentences in the corpus to explore the development trend of English proficiency. Through the analysis of typical cases, it explores the weak links in the corpus teaching process and summarizes a method focusing on the combination of use of corpus and English teaching.

Development of Mechanical Design, Manufacturing and Automation

The technical level and scale of machinery manufacturing industry are one of the most important factors to measure a country’s industrialization degree and comprehensive strength of national economy. In present, the rapid development of China has also undergone leapfrog changes in the development of machinery manufacturing and automation, however, the development trend of mechanical manufacturing and its automation has gradually developed from the previous manual work to the direction of network virtualization, machine miniaturization and industrial intelligence.

A study on the improvement of the future branch system

This study aims to suggest an improvement plan for the army branch system considering the development trend of weapon systems through a case analysis of the vision and major weapon systems for each army branch system in R.O.K army. In the future, with the development of science and technology, hyper-connected networks based on artificial satellites would be built, and mosaic warfare, which integrates multiple domains simultaneously, and weapon systems capable of performing all-weather multifunctional battles across land, sea, and air would emerge. As a result, the common areas of the Army, Navy, and Air Force would be expanded, and the division of each army or branch itself would become ambiguous. Hence, it will be inevitable to move away from the branch operation concepts that have been operational until now to seek the concept of jointness or integration. To study this phenomenon, based on the Korean Army Vision 2050 published by the Army, the transition process of the current Army branch system and the cases of vision and major weapon systems for each branch were analyzed. The results of the analysis confirmed that although new advanced complex weapon systems are being developed for each branch, relatively little change has been made to the system. In particular, with the advent of hybrid drones and intelligent autonomous combat robots that can simultaneously perform ‘Surveillance, Reconnaissance - Decision – Strike’, it is expected that the area of expansion and mutual redundancy of combat functions will be further deepened. Therefore, in connection with the development of the weapon system, we will seek a solution to improve the Army branch system in the future and clarify the implications for the Navy and Air Force in the future.

A study on the development and implications of low-yield nuclear weapons, focusing on deterrence theory

This study aims to examine the development status and technical characteristics of low-yield nuclear weapons initiated by the Trump administration, predict the development trend in the Biden administration, analyze strategic implications that have affected the R.O.K.-U.S. Tailored Deterrence Strategy, and seek future countermeasures. Regarding deterrence theory, low-power nuclear weapons are evaluated as a means of simultaneously expanding deterrence by denial and by retaliation. Additionally, low-yield nuclear weapons can be evaluated as having the capability, communication of nuclear retaliation wills and possibilities, and credibility for these wills and capabilities, which are 3C elements of deterrence in that they are “possible-use nuclear weapons.” Hence, they can be evaluated as highly-applicable deterrence means. As North Korea's nuclear and missile capabilities have advanced and the U.S. is developing and deploying low-yield nuclear weapons, this article intends to make several suggestions regarding deterrence and response. First, because North Korea's policy to strengthen its tactical nuclear capabilities in 2021 is inevitably closely related to the technical characteristics of the development of low-yield nuclear weapons, it should be evaluated and prepared in connection with this. Second, it is necessary to understand the Biden administration's nuclear strategy regarding the extended deterrence strategy of the U.S. and discuss it closely based on the 5th NPR unveiled in early 2022. Third, to ensure the credibility of the R.O.K.-U.S. tailored deterrence strategy, “multilateral deterrence measures” must be considered at the regional level, including low-yield nuclear weapons.

Street Network: Physical and Cultural Transformations on the Morphology of Historical City of Malacca

The deterioration of streets in the historical city of Malacca in Malaysia due to modernization contributes to the streets’ vulnerabilities. This paper purposely analyses the physical transformation of the street networks for the years of 1993-2015, and the cultural influences and impact throughout the establishment of multi-racial cultural society. The methodology for the study is through mapping the street networks of Malacca city by using SPOT satellite imageries of three different years; 1993, 2005, and 2015, and through the street semi-automatic extraction technique to monitor the street pattern of Malacca city. Multiple sensors of SPOT were used, consisting of SPOT-2XS, SPOT 5, and SPOT 6 with 20 m, 5 m, and 1.5 m resolutions in extracting the street objects, while using the IMAGINE OBJECTIVE tools from ERDAS. The finding shows that the street network trend varied from 1993, 2005, and 2015 where the streets achieved 23.8% street expansions in the year 1993 compared to 10.49% in the year 2005. However, the development trend of streets increased to 14.68% in the year 2015. The connection of the physical transformations of the streets with the cultural impact contributed to the sense of place and divided the streets based on socio-economic, cultural and ethnic lines. Finally, it shows that the trend and pattern of street networks were essential in understanding a city’s morphology that has a significant impact on cultural evolution since the establishment of the Chinese community in Malacca.

The Advance of CRISPR-Cas9-Based and NIR/CRISPR-Cas9-Based Imaging System

The study of different genes, chromosomes and the spatiotemporal relationship between them is of great significance in the field of biomedicine. CRISPR-Cas9 has become the most widely used gene editing tool due to its excellent targeting ability. In recent years, a series of advanced imaging technologies based on Cas9 have been reported, providing fast and convenient tools for studying the sites location of genome, RNA, and chromatin. At the same time, a variety of CRISPR-Cas9-based imaging systems have been developed, which are widely used in real-time multi-site imaging in vivo. In this review, we summarized the component and mechanism of CRISPR-Cas9 system, overviewed the NIR imaging and the application of NIR fluorophores in the delivery of CRISPR-Cas9, and highlighted advances of the CRISPR-Cas9-based imaging system. In addition, we also discussed the challenges and potential solutions of CRISPR-Cas9-based imaging methods, and looked forward to the development trend of the field.

Dining Lampblack Treatment Processes in China

The PM2.5 and other small particles produced by cooking oil fumes have contributed up to 25% to the urban atmospheric PM2.5, which has a bad impact on air quality and seriously threatens human health. Aiming at the pollution problem caused by catering oil fume, this article analyzes the threats of air pollution to human health based on the compositions and characteristics of catering oil fume, illustrates the development trend of China′s food and beverage lampblack control policy, and summarizes and points out the current situation and development trend of catering oil fume treatment. In order to provide ideas for the design of more efficient and energy-saving treatment processes in the future, the advantages and disadvantages were reviewed, and the improvement direction of the treatment technology was discussed.