Hot Trend Research Articles

A review of applications and future prospects of nanotechnology

At the beginning of the 21st century, human beings entered the era of nanotechnology, and more scientists began to pay attention to and engage in the research of nanotechnology in different fields. This article introduces the origin and development history of nanotechnology and reviews its applications in energy equipment, environmental protection, and medical treatment, which reflect the importance of nanotechnology for human production and life based on existing literature and data. It can be seen that nanotechnology is a very promising technology that has made great achievements in the fields of energy equipment, medicine, environmental protection, and so on. At the same time, in the application and development of nanotechnology, there are not only safety risks in the use process but also opportunities to create new technologies and new materials. So, nanotechnology, as a relatively young technology, still has gaps or little research in some research fields, such as the emerging green nanotechnology, the precise control of nanostructures by self-assembly technology, and the way to industrial production, which will also become a hot trend in nanotechnology research in the future.

The Application Practice of Acupuncture Boneless Lanterns in Modern Brands

In the century when the oriental style is hot, the application of Chinese elements in visual design is increasing rapidly. Whether it is the need of consumers to pursue "cultural individuality" or the urgent requirement to promote and protect the national traditional culture, the integration of Chinese traditional culture is undoubtedly the next hot trend. The Chinese national culture is broad and profound, with many wonderful cultural and artistic treasures. Flower lantern is one of the traditional folk crafts in ancient China. Quanzhou flower lantern has unique craft characteristics, long history and rich cultural connotation, and is also a national intangible cultural heritage protection project. The main research object of this paper is based on the artistic characteristics of "needled boneless lantern". Through literature analysis, induction and extraction, design practice and other methods, this paper extracts and analyzes its historical and cultural connotation, art form appreciation, traditional pattern technology, and combines it with modern technology to explore and summarize, feel the unique charm of oriental culture, and form a diversified collision between traditional handicraft culture and modern brand design.

A Review of Deep Learning Applications in Tunneling and Underground Engineering in China

With the advent of the era of big data and information technology, deep learning (DL) has become a hot trend in the research field of artificial intelligence (AI). The use of deep learning methods for parameter inversion, disease identification, detection, surrounding rock classification, disaster prediction, and other tunnel engineering problems has also become a new trend in recent years, both domestically and internationally. This paper briefly introduces the development process of deep learning. By reviewing a number of published papers on the application of deep learning in tunnel engineering over the past 20 years, this paper discusses the intelligent application of deep learning algorithms in tunnel engineering, including collapse risk assessment, water inrush prediction, crack identification, structural stability evaluation, and seepage erosion in mountain tunnels, urban subway tunnels, and subsea tunnels. Finally, it explores the future challenges and development prospects of deep learning in tunnel engineering.

A bibliometrics study on the status quo and hot topics of pathogenesis of psoriasis based on Web of Science.

Psoriasis is an immune-mediated chronic inflammatory skin disease. Great progress has been made in the pathogenesis of psoriasis in recent years, but there is no bibliometric study on the pathogenesis of psoriasis. The purpose of this study was to use bibliometrics method to analyze the research overview and hot spots of pathogenesis of psoriasis in recent 10years, so as to further understand the development trend and frontier of this field. The core literatures on the pathogenesis of psoriasis were searched in the Web of Science database, and analyzed by VOSviewer, CiteSpace, and Bibliometrix in terms of the annual publication volume, country, institution, author, journal, keywords, and so on. A total of 3570 literatures were included. China and the United States were the main research countries in this field, and Rockefeller University was the main research institution. Krueger JG, the author, had the highest number of publications and the greatest influence, and Boehncke (2015) was the most cited local literature. J INVEST DERMATOL takes the top spot in terms of the number of Dermatol articles and citation frequency. The main research hotspots in the pathogenesis of psoriasis are as follows: (1) The interaction between innate and adaptive immunity and the related inflammatory loop dominated by Th17 cells and IL-23/IL-17 axis are still the key mechanisms of psoriasis; (2) molecular genetic studies represented by Long Non-Coding RNA (LncRNA); (3) integrated research of multi-omics techniques represented by gut microbiota; and (4) Exploring the comorbidity mechanism of psoriasis represented by Metabolic Syndrome (MetS). This study is a summary of the current research status and hot trend of the pathogenesis of psoriasis, which will provide some reference for the scholars studying the pathogenesis of psoriasis.

Oral Health: The Potential of Mesenchymal Stem Cells in Treating Various Oral Diseases and Promoting Tissue Regeneration

The WHO Global Oral Health Status Report (2022) estimates that over 3.5 billion individuals worldwide have an oral disease. Most of the cases are dental caries, periodontal disease, tooth loss etc. Tooth loss will not only affect the balance of the oral environment but also cause negative effects on facial development and the patient's psychological condition. At present, The implement of oral stem cells to encourage tissue regeneration has become a hot trend. Among them, Periodontal Ligament Stem Cells (PDLSCs) and Dental Follicle Stem Cells (DFSCs) have been discovered it’s potential to promote tooth regeneration. Scientists proposed a variety of different treatment methods, including the use of advanced bioengineered technology to further target different oral diseases. So far, It is firmly established that oral stem cells have the potential to boost tissue regeneration.

Predicting line of therapy transition via similar patient augmentation

Analyzing large EHR databases to predict cancer progression and treatments has become a hot trend in recent years. An increasing number of modern deep learning models have been proposed to find the milestones of essential patient medical journey characteristics to predict their disease status and give healthcare professionals valuable insights. However, most of the existing methods are lack of consideration for the inter-relationship among different patients. We believe that more valuable information can be extracted, especially when patients with similar disease statuses visit the same doctors. Towards this end, a similar patient augmentation-based approach named SimPA is proposed to enhance the learning of patient representations and further predict lines of therapy transition. Our experiment results on a real-world multiple myeloma dataset show that our proposed approach outperforms state-of-the-art baseline approaches in terms of standard evaluation metrics for classification tasks.

Analysis of Student’s Performance in Engineering Courses Based on Outcome Based Education

The current hot trend in education is outcomes-based education (OBE), which guides students in developing their professional careers and makes them more knowledgeable and creative. This might facilitate their healthy development within the context of their workplace. Gaining the skills outlined for outcome-based education via NBA calls for the use of the proper evaluation techniques. This is because the evaluation of graduate skills is crucial to the coaching learning system's efforts to improve the system and students' performance. This process will give the machine ideas for bridging the gap between coaching and completely results-based mastering methods. In the beginning, this paper outlines the foundations of final results-based training and introduces important implementation criteria. The paper then addresses important implications of implementing the framework for the practise and strategies of assessment and evaluation of college students' performance in engineering colleges.

SPP excitation and coupling mechanism based onmicro/nano fibers.

A hot trend in the development of optoelectronic devices is how to use the principle of surface plasmon resonance to enhance the performance of integrated photonics devices and achieve miniaturization. This paper proposes an accompanying waveguide coupling structure of micro/nano fibers, which consists of two parallel-placed micro/nano fibers (MNFs) coated with a silver film in the waist region and infused with a refractive index matching oil. In the overlapping region, there exists a segment of surface plasmon polaritons (SPPs) coupling area. The excitation and coupling characteristics of SPPs are studied through numerical simulation. Optimal coupling enhancement configuration is obtained by studying variables such as spacing distance, coupling length, and metal film thickness. A comparison is made with the SPP intensity of a single MNF, showing a 220% increase in electric field intensity, demonstrating its excellent coupling effect. By using this coupling structure, exploration of SPPs excitation and coupling mechanisms is enhanced, and structures resembling interferometric devices can be designed, providing new insights for high-performance miniaturized devices.

Sensorless Control Method for SPMSMs Based on Improved Sliding Mode Reaching Rate

Due to the advantages of simple structure, small size, and high power density, permanent magnet synchronous motors (PMSM) have attracted the research interest of many scholars both domestically and abroad. However, traditional PMSM equipped with sensors, encoders, and other devices tend to have high equipment costs and rely heavily on the accuracy of the sensors for control effectiveness. Therefore, sensorless control has become a hot trend in the PMSM control field. In response to the chattering problem in sliding mode algorithms, this study first optimized the sliding mode reaching rate of a sensorless control system and applied it to construct a sliding mode observer and speed controller. Next, the improved sliding mode reaching rate-based sensorless control system was modeled and simulated in Matlab/Simulink, and its control performance was compared and analyzed with that of the traditional sliding mode reaching rate and replicated sliding mode reaching rate. Finally, comparative experiments were conducted on a test bench, and the results showed that, under the action of the improved sliding mode reaching rate, the chattering range of the output speed of the motor was +2%~+5%, which optimized the output speed of the PMSM and achieved the purpose of weakening the chattering.

Identifying underlying influential factors in information diffusion process on social media platform: A hybrid approach of data mining and time series regression

As the prevailing online communications paradigm, social media platforms are considered to be the fastest medium for sharing and diffusing information. But what influences the spread of information through these platforms? The content of the post? The sentiments contained? Or the characteristics of user's behavior? To explore which factors promote the spread of information through social media, we developed a data analytics method that combines data mining with time series regression. We then applied this analytical framework to the L group Double 11 false advertising scandal, which blew up on the Sina microblog – a public hot trend that attracted the attention of millions of people. Our analysis reveals how three factors – user activity, emotional changes, and public attention – interact and the role they play in the spread of information. Among these factors, sentiment polarity and reposting are found to be the two main drivers of information diffusion. Emotional contagion accelerates the spread of information when the event first breaks (known as the accumulation period), while reposting does more to spread information once the event has gained some traction (the diffusion period). Surprisingly, the topic of public concentration in the event has a significant impact on the spread of the event in the accumulation period, but the effect shades away during the diffusion and convergence periods, i.e., the farther relations among topics are tied, the less public interest is abating on the event – a finding that is supported by cognitive load theory. However, although public attention shows little influence in the diffusion process, it does reveal how consumers shift their attention to different subtopics over time. Overall, our analysis sheds some light on how online events evolve and ‘go viral’. Notably, this study not only explores how underlying factors dynamically influence the information diffusion process, but also offers insights into how to manage information diffusion processes in practice.

Data Mining Techniques in Telecommunication Company

Due to emerging of amalgam amount of data from variety sources, the data mining has become a hot trend in field of Computer Science. Data mining extracts useful pattern and information from huge amount of existing data with the help of machine learning algorithms that can be helpful in solving many sophisticated problems.
 Telecommunication companies also generates big amount of data from providing services to their customers, besides that telecommunication companies suffers from many problems like fraud, Customer churn and …etc.
 The generated amount of data from these companies can help them to address the solution for their problems such as Customer Churn. Customer churn indicates to the event when a customer stops using the service of a company and starts to use the service of another company.
 Churning of a Customer plays a vital role in having a sustainable business development for a telecommunication company since attracting new customers do not profit a company without retaining the old ones.
 Data mining can address the problem by predicting the occurrence of customer churn in Telecom Company, which helps the company to be proactive in this event and can have the chance to retain them before the churn occurs.
 In this study, I have chosen two open Telecom Churn data sets and have applied Support Vector Machine, Logistic Regression and Decision Tree Machine Learning Algorithms on each data sets independently, which conclude my work to six experiments.
 I have used k-fold cross validation as validation technique during my experiments and confusion matrix for calculating the accuracy of each algorithm, the result of experiments will provide the accuracy of each algorithm in churn prediction for each data set.
 At the end we will have a general comparison table from all six experiments which will show the algorithms performance summary and will indicate which algorithm will outperform the others.

Work from home amid black swan event (Covid-19): a bibliometric analysis from a social science perspective

PurposeThis paper aims to facilitate researchers, practitioners and policymakers in understanding and managing the impact of the black swan event – COVID-19 on work from home in the social science subject area through bibliometric analysis. For this purpose, the authors analyzed publications from the Scopus database.Design/methodology/approachIn this paper, the authors conducted bibliometric analysis based on two major techniques: performance analysis and science mapping. The authors applied VOSviewer and Biblioshiny to address the research questions of present study. The study explored the hot trend topics and summarized them with discussions and implications.FindingsBased on the analysis of 500 publications, the authors present an overview of performance and science mapping from the perspective of different aspects such as publication output and authors. Also, authors visualized the text mining by co-word analysis forming nine clusters as well as mapping trend topics. The existing publications were divided into ten clusters according to different keyword analyses: Leadership, Mental health, Technology, Crisis Management, Gender, Challenges, well-being and Work-life balance.Research limitations/implicationsSample from the Scopus database is not exhaustive, and the dataset may be skewed due to the adoption of the selection criteria. The authors’ concentration was on academic publications in English that excludes potentially intriguing and pioneering studies done in other languages. The study area was limited to social science only.Practical implicationsThe paramount lesson is that the COVID-19 quandary is multifaceted, necessitating not simply adaptations to current strategies but also an understanding and analysis of advancements in the economy, commerce and society. According to the analysis presented above, to overcome the COVID-19 “black swan event”, managers must think ahead. The analysis gives leaders and decision-makers a range of useful information on work from home (WFH) difficulties in COVID-19, as well as initiatives and revisions that must be implemented at the economic, social and scientific aspects when dealing with such uncertainties. The findings also aid managers in forecasting the need for sophisticated technology, organizational agility and resilience to attain the desired direction of progress.Originality/valueWith a focus on addressing WFH during COVID-19 from social science perspective and to synthesize its future research directions systematically, the authors performed Bibliometric analysis both with VOSviewer and Biblioshiny, in order to enhance the overall analysis for higher accuracy and more reliable results that is unique value addition and contribution to the existing literature.

The Application of Phonological Knowledge in Teaching Chinese as a Foreign Language

With the improvement of China's comprehensive national power, the learning of Chinese has become a hot trend at home and abroad, and the teaching of Chinese as a foreign language has also become popular. As the foundation of teaching Chinese as a foreign language, the explanation of phonetics knowledge is of great significance. However, some Chinese learners who study in China still have the problem of "foreign emphasis" in the process of more in-depth learning. Based on this, this paper focuses on the problems related to the application of phonological knowledge in teaching Chinese as a foreign language, and puts forward suggestions.

Investigations on Adhesion Characteristics between High-Content Rubberized Asphalt and Aggregates.

The use of waste tires to prepare rubberized asphalt has been a hot trend in recent years, and the characteristics of adhesion between rubberized asphalt and aggregates are important factors affecting the performance of asphalt pavement. However, there is a lack of uniform results on the adhesion characteristics of rubberized asphalt. Therefore, crumb-rubber-modified asphalt (CRMA) with 15%, 20%, and 25% rubber contents was prepared in this work, and the basic rheological parameters and cohesive energy of the rubberized asphalt were characterized by DSR. The adhesion properties between rubberized asphalt and aggregates were characterized based on macroscopic binder bond strength (BBS), surface free energy (SFE) theory, and nanoscale atomic force microscopy (AFM) tests. The results show that crumb rubber (CR) can improve the high-temperature elastic properties of asphalt; secondly, CR can have a negative impact on the maximum tensile strength of asphalt and aggregates. CR can improve the SFE parameter of asphalt. The work of adhesion of rubberized asphalt and limestone is the highest, followed by basalt and, finally, granite. Finally, CR can cause the catanaphase in asphalt to gradually break down and become smaller, and the adhesion of rubberized asphalt can be reduced. Overall, CR can reduce the adhesion performance of asphalt, and this work provides a reference for the application of rubberized asphalt.

Regulars - Columnist. Dear Evil Engineer: Question - Could a cold bomb become the next hot trend in defence?

Regulars - Columnist. Dear Evil Engineer: Question - Could a cold bomb become the next hot trend in defence?

On the Relationship Between Poetry and Painting from the Perspective of Chinese and Western Culture

The relationship between poetry and painting has always been a hot trend in the history of Chinese and Western aesthetics. The representative theoretical system of poetry and painting in the West is Lessing’s “poetry-painting heterogeneity”, while China’s cognition focuses on “poetry-painting uniformity” and “poetry-painting homogeneity”. Poetry is the art of time and painting is the art of space. Because of their differences in media and other factors, they share some similarities in terms of their specialties. At the same time, due to the various aesthetic concepts between China and the West, their theories of poetry and painting are also different. In addition to exploring the boundary between poetry and painting from the perspective of media, this paper probes into the Chinese and Western poetry-painting relationship based on aesthetic concepts, explores the cultural characteristics of our nation, and absorbs foreign cultures with an inclusive attitude, thus providing a humble opinion for the study of art history.

Privacy-Preserved Federated Learning for Autonomous Driving

In recent years, the privacy issue in Vehicular Edge Computing (VEC) has gained a lot of concern. The privacy problem is even more severe in autonomous driving business than the other businesses in VEC such as ordinary navigation. Federated learning (FL), which is a privacy-preserved strategy proposed by Google, has become a hot trend to solve the privacy problem in many fields including VEC. Therefore, we introduce FL into autonomous driving to preserve vehicular privacy by keeping original data in a local vehicle and sharing the training model parameter only with the help of MEC server. Moreover, different from the common assumption of honest MEC server and honest vehicle in former studies, we take the malicious MEC servers and malicious vehicles into account. First, we consider honest-but-curious MEC server and malicious vehicles and propose a traceable identity-based privacy preserving scheme to protect the vehicular message privacy where improved Dijk-Gentry-Halevi-Vaikutanathan (DGHV) algorithm is proposed and a blockchain-based Reputation-based Incentive Autonomous Driving Mechanism (RIADM) is adopted. Further, when the case comes to the non-credibility of both parties where semi-honest MEC server and malicious vehicles are considered, we propose an anonymous identity-based privacy preserving scheme to protect the identity privacy of vehicles with Zero-Knowledge Proof (ZKP). Based on the simulation of virtual autonomous driving based on real-world road images, it is verified that our proposes scheme can reduce 73.7 % training loss of autonomous driving, increase the accuracy to around 5.55 % while keeps effective privacy of message and identity under the threat of dishonest MEC server and vehicles.

In Pursuit of International Higher Education: Sociocultural and Communication Challenges Faced by Chinese International Students

The development of the global education mission has been strengthened by the widening perspective of transnationalism for higher education. The mobility of international higher education (IHR) has become a global hot trend especially over the past few decades. China continues to be the single largest and fastest-growing nation in terms of sending student bodies for overseas tertiary education today. With the booming of international higher education (IHE) seeking, Chinese international students (CIS) are however troubled by a series of sociocultural and communication challenges, damaging their education outcomes, aspirations, labor market preparations, as well as global education efficiency. This paper explores the major reasons that intrigue CIS to seek IHE, common obstacles they encounter during their foreign education journey, and existent coping strategies. The paper ends with an outlook into a new strategy which requires more researching and data gathering; it serves as a preliminary step to a future proposal of a multidimensional model.

What Is the Impact of the Establishment of Natural Reserves on Rural Residential Land? An Empirical Study From Hunan Province, China

The rural residential land (RRL) in natural reserves has been deeply transformed due to the disturbance constrained by ecological protection policies. Exploring the distribution characteristics and driving factors of RRL in natural reserves and non-natural reserves will help to promote the governance of land space and alleviate the contradiction of land use. Therefore, taking 122 county-level administrative regions in Hunan Province as an example, this article analyzes and compares the spatiotemporal distribution characteristics of RRL in natural reserves and non-natural reserves by using land use change dynamics, nuclear density analysis, the transfer matrix model, and the ordinary least-squares model and explores how the establishment of natural reserves affects the RRL area change. The results show that (1) the overall RRL area in Hunan changed from 171,162.27 hm2 in 2000 to 169,914.6 hm2 in 2020, with a total reduction of 1,247.67 hm2 and a decrease of 0.73%, and the distribution of the RRL area change presented a hot trend in the northeast and a cold trend in the southwest. (2) The occupation of urban construction land is the main reason for the reduction in RRL area, and the transformation of cultivated land and forestland into RRL is the main source of the increase in RRL area. (3) During 2000–2020, the overall RRL in natural reserves increased by 1,538.37 hm2, with an increase of 0.11%, while the overall RRL in non-natural reserves decreased by 2,786.04 hm2, with a decrease of 0.14%. (4) The establishment of natural reserves has a significant negative correlation with the area of RRL in 2000, 2010, and 2020, indicating that the establishment of natural reserves can limit the growth speed of the RRL area to a certain extent, but is affected by factors such as economic development and rural population growth; it cannot directly promote the overall reduction of RRL area. The results of this study can provide a reference for decision-making related to the spatial structure optimization of natural reserves and non-natural protected RRL and the coordinated development of urban and rural areas.

Theoretical Study of HFO1336mzz(Z)/HFO1224yd(Z) Refrigeran t Mixtures for High-temperature Heat Pump

Background: The global energy consumption problem is becoming more serious, therefore, it is a hot trend to improve energy efficiency and choose environmentally friendly alternative working fluids. Objective: The main thermophysical parameters of the refrigerant mixture, which blended HCFO 1224yd(Z) and HFO1336mzz(Z) in the high-temperature heat pump cycle, were theoretically studied to replace HFC245fa. The theoretical cycle model of refrigerant mixtures of high-temperature heat pumps was established. Methods: In this paper, a theoretical cycle model of the mixed refrigerant high-temperature heat pump is established, and the cycle performance of the mixed refrigerant in the high-temperature heat pump system under different working conditions is compared. Results: It was found that HFO1336mzz(Z) could reduce the exhaust temperature of the compressor and increase the heat pump coefficient COPh, and HCFO1224yd(Z) could improve the problem of excessive suction specific volume in high-temperature heat pump systems. Conclusion: The result shows that the refrigerant mixture with 0.6/0.4 HCFO1224yd(Z)/HFO1336 mzz(Z) has the best cycle performance when the condensing temperature is 150 °C, and the cycle temperature rise ranges from 50 to 70°C.When the cycle temperature rise is 70°C, and the condensing temperature ranges from 110 °C to 150°C, the coefficient of performance value of the refrigerant mixture with 0.2/0.8 HCFO1224yd(Z)/HFO1336mzz(Z) reaches the maximum of 3.11.