bluuebunny/crossref_metadata_2025 huggingface dataset:
REVISÃO DE LITERATURA A RESPEITO DA NUTRIÇÃO E DA TOLERÂNCIA DE PLANTAS DE FEIJÃO SOB ESTRESSE BIÓTICO E ABIÓTICO
Authors: FERREIRA C. C. B. , ROSANOVA C. , DANTAS C. F. C. , SANTOS F. N. M. , CARVALHO R. C. P. , CARVALHO T. A. M.
Published: December 2022

Sabendo da importância dos nutrientes para o desenvolvimento do feijoeiro, desde o desenvolvimento inicial ao fim de ciclo, busca-se, por meio de levantamento bibliográfico e pesquisa exploratória, discorrer sobre como os nutrientes atuam na germinação de sementes, no desenvolvimento inicial e na tolerância de plantas aos estresses bióticos e abióticos no cultivo de feijão. De maneira que as informações disponíveis neste trabalho permitirão que os produtores rurais atuem a tempo de evitar potenciais perdas que efeitos bióticos e abióticos adversos possam causar ao feijoeiro, contribuindo de maneira significativa para aumento da sustentabilidade da cultura. A adubação é um dos fatores que afetam a qualidade da semente, pois plantas adubadas de modo adequado apresentam condições de produzir maior quantidade de semente, além de promover melhor qualidade, por resistir mais facilmente a adversidades durante o período de produção. Altos índices de produção, bem como ótima qualidade dos produtos somente são alcançados com o equilíbrio no fornecimento de macro e micronutrientes, que atuam no metabolismo vegetal. Os estresses bióticos e/ou abióticos são fatores limitantes na produção do feijão, pois em qualquer uma destas condições, pode causar o retardo do crescimento e danos no desenvolvimento, reduzir a produtividade e, em casos extremos, levar a planta à morte. Uma alternativa a estes fatores limitantes é o uso de cultivares com características genéticas competitivas e eficientes contribuindo para alcançar um padrão de agricultura mais sustentável e com melhores condições de produção, desde o preparo e preservação da fertilidade do solo, aos tratos culturais.
Nanoparticle-based Drug Delivery System for Post Myocardial Infarction Management
Authors: Liu Minxuan , Ramponi Chiara , Fan Xiaoxue , Zhang Xinzhuang , Cao Liang , Wang Zhenzhong , Xiao Wei
Published: December 2022

Review
Nanoparticle-based Drug Delivery System for Post Myocardial Infarction Management

Minxuan Liu, Chiara Ramponi, Xiaoxue Fan, Xinzhuang Zhang, Liang Cao, Zhenzhong Wang, and Wei Xiao *

State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, 222001, China.
* Correspondence: xw_kanion@163.com
 
 
Received: 15 October 2022
Accepted: 2 November 2022
Published: 21 December 2022
 

Abstract: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the world. Myocardial infraction (MI) as one of the most harmful forms of ischaemic heart disease requires rigorous and tempestive approaches which are not met by current clinical interventions. Nanotechnology has developed promising clinical applications for imaging, diagnostic, gene delivery and tissue engineering, which makes this technology a potential candidate for novel therapeutic delivery approach. This review highlights several recent research reports regarding advances in drug delivery using nanoparticle-based (NP) strategies, as well as future challenges and opportunities.
The P21-Activated Kinase 1 and 2 As Potential Therapeutic Targets for the Management of Cardiovascular Disease
Authors: Xu Honglin , Wang Dingwei , Ramponi Chiara , Wang Xin , Zhang Hongyuan
Published: December 2022

Review
The P21-Activated Kinase 1 and 2 As Potential Therapeutic Targets for the Management of Cardiovascular Disease

Honglin Xu, Dingwei Wang, Chiara Ramponi, Xin Wang, and Hongyuan Zhang *

Michael Smith building, Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
* Correspondence: hongyuan.zhang-3@postgrad.manchester.ac.uk
 
 
Received: 20 October 2022
Accepted: 16 November 2022
Published: 21 December 2022
 

Abstract: Group I p21-activated kinases (Paks) are members of the serine/threonine protein kinase family. Paks are encoded by three genes (Pak 1‒3) and are involved in the regulation of various biological processes. Pak1 and Pak2 are key members, sharing 91% sequence identity in their kinase domains. Recent studies have shown that Pak1/2 protect the heart from various types of stresses. Activated Pak1/2 participate in the maintenance of cellular homeostasis and metabolism, thus enhancing the adaptation and resilience of cardiomyocytes to stress. The structure, activation and function of Pak1/2 as well as their protective roles against the occurrence of cardiovascular disease are described in this review. The values of Pak1/2 as therapeutic targets are also discussed.
Advances of the Target-Based and Phenotypic Screenings and Strategies in Drug Discovery
Authors: Wang Shoubao , Wang Zihan , Fang Lianhua , Lv Yang , Du Guanhua
Published: December 2022

Review
Advances of the Target-Based and Phenotypic Screenings and Strategies in Drug Discovery

Shoubao Wang 1,*, Zihan Wang1, Lianhua Fang1, Yang Lv2, and Guanhua Du1,*

1 Beijing Key Laboratory of Drug Targets Identification and Drug Screening, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China.
2 Beijing Key Laboratory of Polymorphic Drugs, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China.
* Correspondence: shoubaowang@imm.ac.cn (Shoubao Wang); dugh@imm.ac.cn (Guanhua Du).
 
 
Received: 8 November 2022
Accepted: 15 November 2022
Published: 21 December 2022
 

Abstract: Drug discovery and development is a complex and expensive process. There are two approaches, phenotypic and target-based approaches, each holding different advantages for screening novel drug candidates when pursuing successful marketing authorization. However, the attrition rates of drug candidates continue to increase. In this review, we discuss recent successes and ongoing advances in phenotypic screening and target-based screening for drug discovery. We also explore how strategic and technological innovations may fuel new approaches in drug discovery. There are two approaches in drug discovery.
Targeting Inflammation to Control Tissue Fibrosis
Authors: Song Weihua , Sun Wu , Wang Zilong , Teo Kelvin Yi Chong , Cheung Chui Ming Gemmy , Wang Xiaomeng
Published: December 2022

Review
Targeting Inflammation to Control Tissue Fibrosis

Weihua Song 1, Wu Sun 2, Zilong Wang 3, Kelvin Yi Chong Teo 2,4,5, Chui Ming Gemmy Cheung 2,4,5, and Xiaomeng Wang 4,5,6,*

1 Innoland Biosciences, 6 West Beijing Road, Taicang 215400, Jiangsu, China.
2 Singapore National Eye Center, 11 Third Hospital Ave 168751, Singapore.
3 Ocean University of China, 5 Yushan Rd, Shinan District, Qingdao 266005, Shandong, China.
4 Singapore Eye Research Institute, 20 College Road 169856, Singapore.
5 Duke-NUS Graduate Medical School, 20 College Road 169856, Singapore.
6 Insitute of Molecular and Cell Biology, 61 Biopolis Dr, Proteos 138673, Singapore.
* Correspondence: xiaomeng.wang@duke-nus.edu.sg
 
 
Received: 17 November 2022
Accepted: 19 November 2022
Published: 21 December 2022
 

Abstract: Remodeling of the extracellular matrix (ECM) is an essential process in host defense against pathogens and tissue repair following injury. However, aberrant inflammatory responses could disturb ECM homeostasis leading to progressive disruption in tissue architecture and organ function. Fibrosis is the common outcome of a wide range of diseases, especially chronic inflammatory disorders, and represents the leading cause of morbidity and mortality globally. This review provides the current understanding of the pathogenesis of fibrosis, with particular emphasis on the role of inflammation in this process and the translational potential of targeting inflammation as a strategy to control fibrotic progression.
A Survey on Evolved LoRa-Based Communication Technologies for Emerging Internet of Things Applications
Authors: Yao Fang , Ding Yulong , Hong Shengguang , Yang Shuang-Hua
Published: December 2022

Survey/review study
A Survey on Evolved LoRa-Based Communication Technologies for Emerging Internet of Things Applications

Fang Yao 1,3, Yulong Ding 2,3,*, Shengguang Hong 2,4, and Shuang-Hua Yang 2,5,*

1 The Ta-tech company, Nanjing 210009, China
2 Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Department of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, China
3 Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
4 The School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150006, China
5 Department of Computer Science, University of Reading, West Berkshire RG6 6UR, United Kingdom
* Correspondence: dingyl@sustech.edu.cn; Shuang-hua.yang@reading.ac.uk 
 
 
Received: 17 September 2022
Accepted: 17 October 2022
Published: 22 December 2022
 

Abstract: The concept of Internet of Things (IoT) greatly extends the coverage area that human being is able to perceive, access, and even control. By connecting various “Things” to the Internet, the IoT makes it possible to measure and manage the physical world as needed. As one of the most widely adopted Low Power Wide Area network technologies, the Long-Range-Radio (LoRa) has the features of long range, low power, and robustness, and thus plays an important role in building IoT applications where IoT objects are connected to the internet at affordable costs. Since the development of LoRa, many IoT applications have adopted LoRa and achieved success in the market. Currently, IoT technologies keep evolving towards different fields, giving rise to multifarious IoT applications including industrial IoT, smart city IoT, healthcare IoT, and direct-to-satellite IoT. In the meantime, LoRa also keeps developing and finding its position in various IoT applications either as a main or complementary player. The objective of this survey is to (1) provide a fundamental understanding of the LoRa technology; (2) explore research activities studying LoRa based communication systems for new IoT applications; and (3) demonstrate how the LoRa technology works together with other technologies to deliver better IoT services to end users.
From Emotion AI to Cognitive AI
Authors: Zhao Guoying , Li Yante , Xu Qianru
Published: December 2022

Survey/review study
From Emotion AI to Cognitive AI

Guoying Zhao *, Yante Li , and Qianru Xu

University of Oulu, Pentti Kaiteran Katu 1, Linnanmaa 90570, Finland
* Correspondence: guoying.zhao@oulu.fi
 
 
Received: 22 September 2022
Accepted: 28 November 2022
Published: 22 December 2022
 

Abstract: Cognitive computing is recognized as the next era of computing. In order to make hardware and software systems more human-like, emotion artificial intelligence (AI) and cognitive AI which simulate human intelligence are the core of real AI. The current boom of sentiment analysis and affective computing in computer science gives rise to the rapid development of emotion AI. However, the research of cognitive AI has just started in the past few years. In this visionary paper, we briefly review the current development in emotion AI, introduce the concept of cognitive AI, and propose the envisioned future of cognitive AI, which intends to let computers think, reason, and make decisions in similar ways that humans do. The important aspect of cognitive AI in terms of engagement, regulation, decision making, and discovery are further discussed. Finally, we propose important directions for constructing future cognitive AI, including data and knowledge mining, multi-modal AI explainability, hybrid AI, and potential ethical challenges.
Application of Early Loading on Surface Implants with Nanostructured Hydroxyapatite Coating
Authors: Lillo E Ricardo
Published: December 2022

The objective of this work was to describe the variation in the stability of nanostructured HA coatied implants installed in the upper premolar area by means of resonance frequency analysis (RFA, measured in ISQ) during the first 4 weeks, in partially edentulous patients. The study design is quantitative, observational, descriptive, longitudinal and prospective. The implants used were the UNITITE line of S.I.N Implant System® of 3.5 mm x 11.5 mm, which have HAnano® surface. These implants have a surface treatment with a nanostructured hydroxyapatite coating, which increases hydrophilicity and would accelerate the process of new bone formation and remodeling after installation. The surgeries were carried out by students of the Oral Maxillofacial Implantology department, at Universidad Mayor, Santiago. A descriptive analysis was performed on a sample of 8 implants, resulting in a variation of 1 to 2 ISQ points during the four weeks studied. The results suggest that as the stability of the implants keeps constant, it would be possible to carry out early loading at 4 weeks in the implants studied, however, a greater number of samples, comparative studies and longer-term studies are required to generate more robust conclusions on this subject.
Preface: 3rd International Conference on Business Management, Humanities and Education Engineering (BMHEE 2022)
Authors: Zephaniah Hilary , Zhang Shihong
Published: December 2022

BMHEE 2022 is the 2022 3rd International Conference on Business Management, Humanities and Education Engineering organized by the Shanxi Normal University, China and University of Southern Denmark, Denmark. The conference was held virtually on September 17-18, 2022 due to the Covid-10 pandemic and some of its restriction issues.

The main purpose of BMHEE 2022 is to bring together the professional practices, industrial experts, researchers, vocational teachers, academia, and decision-makers including the government to a unified communication forum for sharing their recent research and developmental activities in humanities science, business management and education technology. This conference provides a forum for all attendees to share and exchange ideas and research findings in respective fields of research. The conference allows the exchange of knowledge between different research domestic and foreign centers representing various fields.

We enjoyed 4 keynote speeches and many oral presentations made by the authors which lasted for 10-15 minutes each, and a lot of inspiration sparked during the Q&A parts. Researchers who have contributed their work to BMHEE 2022 shared their findings and experience with other researchers and attendees. Many participants without any contribution of research paper have also been allowed to attend the conference to gain knowledge in their respective areas. This conference is initiated to contribute cutting-edge ideas. Thanks to the dedication of every committee member and reviewer, we finally made this conference.

Organizing Committee of BMHEE 2022

Copenhagen, Denmark
Mandarin as the First Language Causes Negative Transfer in English Writing to Non-English Major College Students
Authors: Xu Nuo
Published: December 2022

L1 transfer represents the process that mother tongue would impact learners’ second language acquisition. Prior knowledge from their first language would be consciously and unconsciously applied to their target language learning as an aid. Furthermore, positive and negative influences would be asserted in this process. To be specific, negative transfer or interference would be the focus foci of this article. Considering numerous research done by linguistics and educators from home and abroad, English writing in China has faced serious barriers mainly due to the mother tongue negative transfer, such as phonological, morphological, lexicon, syntax, and discourse errors. Therefore, this article concerns some typical errors that non-English major Chinese college students would make in writing. The house of error analysis regards that language transfer covers a majority of errors, which could be used as lubricants to facilitate Chinese college students’ English writing skills. Hence, it is of significant essence that at the end of this article, several suggestions with reference value are advanced, desiring to contribute to the improvement of Chinese college students’ writing capacity.
The evolution and development of pop art in the visual field of digital art design
Authors: Gai Hailong , Lu Yajuan , Guo Yajun
Published: December 2022

Pop art originated in Britain in 1950, became popular in the United States in the 1960s, and then spread to Italy, Japan and other countries. It pulled art from the high altar, obliterated the boundary between art and life, and made art less inscrutable and obscure, but more affinity. This paper focuses on the pop art style in modern and contemporary art and design works, and discusses the audience's demand for pop art pop culture in the context of contemporary multiculturalism. As a common, popular and commercial art form, pop art has exerted a subtle influence in many fields of design. It emphasizes interest and rebellious spirit, affecting the diversified development of design. This paper is an accurate control of the current design trend, and also a practical exploration of digital redesign of pop art style.
Inspiration from the Development of Japanese Magical Girl Animation
Authors: Zhang Wenxin
Published: December 2022

With the worldwide popularity of magical girls portrayed in Japanese magical girl anime, such as Card Captor Sakura and Maiden Warriors, magical girls have become a cultural symbol and have developed into an industry. The daily magical girl anime has not only become popular in Japan and around the world, successfully exporting elements of Japanese culture, but has also become commercially successful, making huge economic profits for those involved in the industry through the sale of derivatives and other means.Chinese cultural industry workers have also imitated Japanese magical girl anime but without success. This study will explore the reasons for the popularity of Japanese magical girl culture in Japan and China from three aspects: industry development history, narrative characteristics, and cultural connotation, and further analyze the reasons for the unsuccessful local magical girl anime in China, in the hope of providing references for the future development of China's local anime industry and the future transnational cultural export of Chinese cultural industry. From the perspective of industrial development, the success of Japanese magical girl animation comes from both the innovation of content and technological means in line with the development of the times and from the investment of resources and cooperation in each link of the complete industrial chain. Meanwhile, successful cultural export needs to consider how to weaken the negative impact of cultural depreciation on viewers' cultural identity and how to make reasonable use of cultural differences to arouse viewers' interest through the sense of strangeness.
The Inferior Position of Female Soccer Sports Comparison Between Female Soccer and Male Soccer
Authors: Li Ruikang
Published: December 2022

Overall, the essay is mainly about the women’s soccer games due to nowadays people’s over-widening interests about women’s soccer games and women’s World Cup. I focused on basically three prospectives of women’s soccer games and especially focused on the disparity between women’s soccer games and men’s game.There is huge disparity between male players’ salary and female players’ salary, there is also huge difference of public acceptance about women’s soccer game and men’s soccer games(especially the different reasons which drove audiences watch the game)In addition, the investments of women soccer clubs is fortunately increasing in China mainly because the government support and more and more companies already realized the huge market behind women’s soccer game as well.
Hotspot Mining in the Field of Library and Information Science
Authors: Huang Cheng
Published: December 2022

[Objective] This paper studies the research hotspots of Library and Information Science and the future research trends are also discussed. [Methods]Select the five journals with the highest impact factors in 2021 as the data source, and use the VOSViewer software to carry out bibliometric analysis on these data.[Results]According to the data analyze the research hotspots on the topic mainly focus on six major research themes include knowledge management, user behavior, technology innovation, big data information analysis, competitive intelligence analysis and text mining.[Conclusions]Using bibliometric methods to analyze relevant literature in the field of library and information science can reveal research hotspots in this field, thus providing guidance for relevant researchers.
Research on the Relevant Matching Method of Internet MediaInformation-Stock Assets Based on the Combination of Literal and Semantic
Authors: Liu Xianzu
Published: December 2022

Classify and match kinds of media information has been a problem to be solved. To solve the problem, the study finished the experiment of text matching, include the process of data collection and building the media information with stock asset matcher, based on the perspective of literal matching and semantic matching. The experimental data comes from financial news websites such as eastmoney.com and jrj.com. This study uses a small sample learning model to solve the problem of lacking labeled data and too much types of financial media information. Based on the Siamese network and Word2Vec model, the matcher performs well in matching tasks. This study will provide the basic way to support the research of impact of Internet media information on financial market asset prices from the perspective of salient effects.
The Impact of Internet Development on Labor Mobility
Authors: Ji Sunan
Published: December 2022

This paper makes a theoretical analysis on the impact of Internet development on the floating population's willingness to stay. It uses the method of principal component analysis to measure the Internet development level of 290 cities in China. On this basis, it matches the micro data of individual labor force and empirically tests the impact of Internet development on the floating population's willingness to stay. The research finds that the development level of urban Internet will limit and reduce the migrant population's willingness to emigrate. For each unit of urban Internet development, the possibility of labor force's intention to emigrate from the city will be reduced by 11.44%; Compared with the middle-aged and the old and the low skilled labor force, the middle-aged and the young and the high skilled urban labor force are more sensitive and responsive to the Internet, and are more likely to be encouraged by the development of the Internet and choose to stay in their cities. This study provides policy implications for urban talent attraction and labor competition.
The Prospect of Non-sexist Clothing in the Future Clothing Market
Authors: Lin Lin , Liu Jiangheng , Yang Mengqing , Zhang Zinuo
Published: December 2022

The style and development of non-sexist clothing shows people's aesthetic orientation and social values in today's society. By studying the characteristics and development of non-sexist clothing, analyzing its prospects in the future market, can help provide people with more comfortable clothing choices, and promote the concept of being brave to express oneself and get rid of gender stereotypes, as well as provide innovative ideas for the future clothing production. This article describes the current development of non-sexist clothing and its forecast in the future market, and takes the non-sexist clothing as the main research object and proves it by looking for different brand cases. In this paper, the concept style of non-sexist clothing, the current development situation in the clothing field and the future market forecast are respectively explored. Finally, the conclusion is that the prospect of non-sexist clothing in the future clothing market is quite optimistic, with great development potential.
Study on Planning and Design of Ice and Snow Sports Tourism in Jilin Province under Changji-Tu Strategy
Authors: Xu Landong
Published: December 2022

Using the literature method, with the basic theory of economic circle construction as the logical starting point, puts forward the Changji-Tu of ice and snow sports tourism economic circle construction strategy, This paper analyzes the advantages and characteristics of ice and snow tourism in Jilin Province under the framework of Changji-Tu development strategy, discusses the present situation of the tourism and ice-snow tourism overall planning, ice and ice tourism brand consciousness, develop ice and snow tourism market, provide theoretical reference for Jilin province regional economic development.
Research on the topic discovery and hotspot evolution of the LIS field from the perspective of papers supported by the National Foundation
Authors: Wang Yue
Published: December 2022

Exploring the fine-grained characteristics of the results of papers funded by national funds is helpful to help researchers more accurately grasp the research hotspots and frontier trends of the discipline to identify the frontier topics of scientific research. Starting from the projects approved by the National Natural Science Foundation of China and the Social Science Foundation of China from 2010 to 2019, this study took the state-funded papers published in the core journals in the field of Library and Information Science from 2010 to 2020 as the research object, constructed a domain dictionary according to the funds and keywords of the papers, and conducted topic discovery for the abstracts of the funded papers based on the LDA model. And explore the evolution trend of common keywords in highly cited papers. The results show that in the field of LIS, the social science fund has more diversified project themes than the natural science fund. Information resource construction and library management research are hot topics in the LIS discipline. With the development of The Times, topics such as information service, network public opinion, and big data gradually become the focus of research.
A Comparative Study between Eastern Zhou and Early Ancient Greek Decorative Styles
Authors: Li Shaoqing
Published: December 2022

Among creations at the peak of the arts and crafts realm, Chinese bronze vessels and ancient Greek pottery paintings have been key research subjects of art history. Their respective decorative styles have been studied comprehensively, but research is still lacking on Eastern Zhou pictorial bronze vessels and black-figure pottery, which are important stages in the development of Chinese bronze vessels and ancient Greek pottery paintings. To study the decorative styles of Eastern Zhou pictorial bronze vessels and black-figure pottery, this paper takes the Warring States Feast and War Pictorial Bronze Vessel and the Francois Vase as examples, compares their decorative styles, and explores the causes of their differences. The study finds that the decorative styles of Eastern Zhou pictorial bronze vessels and black-figure pottery are similar in terms of narratives and composition, reflecting features typical in the time and arts of an early-staged civilization. There are also great differences between the two in terms of contents of the decorations and art expression styles, revealing differences in craftsmanship, social environment, and artistic pursuit of the two cultures.
The Research on the Origin and Communication of Blue and Green Colors in Chinese Blue and Green Landscape Painting
Authors: Ju Wanying
Published: December 2022

Blue and Green landscape painting is an important component of Chinese landscape painting. The purpose of this paper is to explore the origins of blue and green colors in blue and green landscape painting and search for the reasons for the establishment of the blue and green landscape painting's style. Today's many researchers identify the murals of the Dunhuang Mogao Caves as the original form of Chinese Blue and Green Landscape Painting, and the Mogao Caves' painting style was significantly influenced by Indian Buddhist art. This paper employs a research approach that compares the stylistic convergence of early Chinese and Western Buddhist artworks. By combining the study of the trade history of the Silk Road, which helped spread Buddhism, and analyzing the origins of blue and green pigments, this paper finds that the use of blue and green colors showed signs that they spread with Buddhist art. The conclusion is that the earliest blue and green color in Chinese Blue and Green Landscape Painting originated from the Buddhist art in the western part of China and spread with Buddhism to the east China.
The Innovative Application of Dunhuang Murals Patterns in Cultural Creation Design
Authors: Sun Zhudi , Zhao Diya , Zhang Hongmiao
Published: December 2022

Dunhuang murals are abundant in art. Tiger is a vital animal element. It is well represented in the design of cultural and creative products. Tiger elements on the murals not only possess the nature of the tiger totem in Chinese traditional culture but also have a profound religious connotation and convey unique artistic characteristics. The paper takes the tiger elements in part of the murals in Dunhuang as the staring poing, focuses on the cultural connotation of tiger elements in Dunhuang murals. Data collection was conducted to grasp the sales of cultural and creative products. Moreover, a questionnaire survey was made to grasp the deficiencies of cultural and creative products and consumers' opinions. Finally, suggestions for the design, marketing, and cultural re-creation of Dunhuang tiger elements were proposed as a research result. The result has contributed to enriching the research contents in the field of Dunhuang cultural creation and providing new ideas and methods for designing Dunhuang cultural creation products.
The Research on the University Students' Subjective Views on Using Short Videos for Learning
Authors: Yan Yipeng , Yuan Jialin , Zhang Zilu
Published: December 2022

Whether short video learning can improve learning efficiency is a hot topic that university students pay attention to. Some researchers find that short video learning can improve learning efficiency and significantly impact university students learning. However, behind it, there is still a lack of relevant issues, such as the boundary between short video and learning. Therefore, this study conducted a semi-structured interview analysis on fifteen university students to explore the relationship between university students and short video learning, after conducting semi-structured interviews with fifteen university students, it is concluded that they think short videos are helpful to improve knowledge memory and quickly retrieve important content and methods when they are in difficulty. It shows that watching short videos in leisure time is directly helpful to learning. Based on the suggestions the investigators gave, the research puts forward some improvement schemes for learning videos to help university students get better experiences when watching short videos for learning.
Moving Identities: An Investigation of Chinese Oversea Dancers in London Based on Double Consciousness Theory
Authors: Huang Canling
Published: December 2022

It is not uncommon today that cross-border exchanges of dancers are getting closer and closer under globalization. For those cross-cultural dance training, dancers' thoughts and bodies have been changed. This paper explores the multiple consciousness and identity contradictions of Chinese oversea dancers in the context of London. Applying Double Consciousness Theory to dance research strives to help more individuals to sociological focus on dance research and comprehend the relationship between the body and society. The ethnography methodology is adopted in this study and found that Chinese overseas dancers can better examine and truly understand China's national culture and reshape their identities. Besides, the contradiction between dancers and the inevitability of multiple identities in the cross-cultural context contributed to the development of British multiculturalism to a certain extent.
The Relationship between Attention and Memory Retrieval
Authors: Dai Zhengling
Published: December 2022

Researchers were trying to explore the relationship between attention and memory retrieval in many different methodologies. This paper aims to clarify the complex relationship between attention and memory. Most early research from the 1900s suggests that memory retrieval is an automatic process that does not require attention. Moreover, in line with intuition, research about implicit memory also suggest that it is an automatic process. However, recent research about explicit memory retrieval suggests otherwise. Neuro-imaging research found that the region that activates during memory retrieval also activates during visual attention. Animal research about attention demand and spatial memory retrieval showed that attention could help memory encoding and retrieval. By studying individuals with attention deficits, it can conclude that attention is crucial for suppressing memory retrieval. Furthermore, behavioral research suggests that divided attention can impair memory retrieval. Thus, memory retrieval is not an automatic process.
The Interference of Linguistic Symbols on Categorization
Authors: Wang Yuchen
Published: December 2022

Categorization, as a fundamental concept that assists people in daily perceiving and estimating, influences the approach to how individuals classify objects, events, and ideas through its language-based presentation. The adaptations of language in science and tradition will inevitably result in paradoxical classifications. To explore to what extent linguistic symbols can interfere in or even determine categorization, this study experimentally tested the ratio of how linguistic interference affects the perceptions of textual, colorific, and melodic information, respectively. Forty-one examinees participated in the experiments, and thirty-two multiple-choice questions were set to quantify the extent of linguistic interference in categorization, as well as trace how linguistic symbols perceived as textual, colorific, and melodic stimuli affect categorization, respectively. The control experiments indicated that linguistic interference, in limited grammatical and verbal forms, could not wholly determine but highly affect categorization, with kappa coefficients of 0.33 for textual, 0.27 for colorific, and 0.24 for melodic (p<0.05). In addition, as shown in the data, linguistic interference had slightly higher effects on the perceptions of untextual information such as colors and melodies.
Strategies to Promote the Chinese Basketball Association
Authors: Chen Xinru
Published: December 2022

CBA league is the highest-level basketball league in China. In recent years, the CBA league has faced many difficulties, such as how to ensure its exposure and popularity in the post-epidemic era. Especially after the emergence of COVID-19, the ticket revenue of the CBA league has been greatly reduced; After the emergence of the National Basketball Association and even the National Basketball league, the influence of the CBA league declined. This research aimed to discuss how to enhance the influence and popularity of the CBA league in the Chinese market. This article went through the analysis of Marketing Mix theory, according to the actual situation of the CBA league, from the four elements of the Marketing Mix theory in the analysis of the CBA league on these elements of consumer impact degree. At the same time, this article applied the SWOT analysis method, respectively from the internal and external advantages and disadvantages of CBA league analysis. The conclusion of this exploration was that the CBA league has great advantages in the two aspects of place and product, but under the influence of reality, there were different negative effects on promotion, place, and product. Therefore, the CBA league needs to be changed from inside to outside under the current background.
Meaning and Process of Value Investing
Authors: Hu Weiliang
Published: December 2022

The research focuses on the evolution of a certain company's stock price time series. The purpose of this study is to measure and evaluate the growth in Apple Inc. stock prices using a time series approach. Data is provided on a daily basis from January 2020 to July 2022. According to the statistics, Apple stock prices climbed progressively from 2020 to 2022. The most prevalent reason for a spike in stock prices is the introduction of a new product or service to the worldwide market. On the other hand, the cause of the stock price decrease is consumer unhappiness, an excess of demand over supply, or the political atmosphere. The investigation of time series throughout the economic crisis demonstrates that, owing to the firm's development, innovation, and regular introduction of new goods into the market, the company and stock prices were not significantly affected by the crisis. Naturally, there were some market fluctuations, but by the end of 2022, the corporation's stock had reached its highest level in history. During the global epidemic of, time series analysis demonstrates a continual rise in stock prices. Currently, the firm offers an expanding variety of products and creates new services to let us work, study, or enjoy ourselves from the comfort of our own homes during these tough times.
Stock Comparison of the Internet Software Industry and the Internet Hardware Industry Between the Ex-Pandemic Period and Pandemic Period
Authors: Wen Chilong , Wang Zhihan
Published: December 2022

The spreading use of the Internet brings attention to the stock market. More and more investors are willing to invest their stocks in companies working on the Internet, making these companies an inevitable force in the stock markets. However, the pandemic makes the situation of the stock market different. As a result, based on the data from the representative companies, the passage uses the quantitative analysis method to study and compare the stock trend of the representative companies before the pandemic and after the pandemic. By collecting the different data from those six companies firstly, the passage creates the charts to visualize the data and compares the data before the pandemic and those during the pandemic. The result is that the stocks of the software industry have a better performance during the pandemic, and investing in the stocks of hardware industries has more risks than investing in software industries.
The ZPD Perspective on Teachers' Question-Answer Strategies In Mathematics Classroom
Authors: Jiang Yujie , Wu Yihan , Sha Xiyun , Xu Yuchun
Published: December 2022

As teaching methods continue to change, the ability of students to think and solve problems autonomously has become one of the main focuses of teaching, and therefore teachers' question answering strategies have become essential. Many researchers have raised the importance of the zone of proximal development theory in question answer strategies, but few have summarized the specific type of question-answer strategies need to be used in different scenarios. For this reason, this paper will research on teacher question-answer strategies in mathematics classrooms from the perspective of ZPD. A case study was conducted based on two videos of mathematics class, and qualitative analysis was conducted through conversation analysis transcript. Research shows that the selection of question-answer strategies is related to identifying the zone of proximal development of students. If students’ questions are in their ZPD, then teacher will allow learners to explore the solution on their own and will follow up by asking more questions to students. On the other hand, answers should be provided directly for removing meaningless barriers that restricts discovery. Having different question-answer strategies is to balance learners’ cost of learning in the discovery process. This will enhance students to be autonomous learners by reaching achievable learning goals at potential developmental levels.
Applying Back Propagation Algorithm and Analytic Hierarchy Process to Environment Assessment
Authors: Sui Chunyu , Li Xinrui , Song Yinghang , Wu Chen , Zhang Ziyang
Published: December 2022

This paper designs a new and scientific environmental quality assessment method, and takes Saihan dam as an example to explore the environmental improvement degree to the local and Beijing areas. AHP method is used to assign values to each weight.7 primary indicators and 21 secondary indicators were used to establish an environmental quality assessment model. The conclusion shows that after the establishment of Saihan dam, the local environmental quality has been improved by 7 times, and the environmental quality in Beijing has been improved by 13%. Then, the future environmental index is predicted. Finally, the Spearson correlation coefficient is analyzed, and it is proved that this method’s correlation is 99%. Finally, the back-propagation algorithm is used to test and prove that the error is little.
Design and Application of Integrated Dispatching Communication Network for Intelligent Hydropower Stations
Authors: Zhou Cun , Gong Geyong , Yang Chengchuan
Published: December 2022

5G has changed the society. Its rich vertical industry applications have changed the traditional operation and maintenance mode of hydropower stations, created a customized "industry private network" for hydropower stations, met the needs of power station intelligence, further improved the hydropower station's ability to independently control its own business and operating efficiency, and created a new intelligent, safe and efficient power station.
Sentiment Analysis of Weibo Comments based on LDA Model
Authors: Fang Chen
Published: December 2022

The essence of LDA (Latent Dirichlet Allocation) model is a generative Bayesian probability model that contains three layers of words, topics and corpus (sometimes called document set). Under the LDA algorithm theory, each document represents a probability distribution formed by some topics, and each topic represents a probability distribution formed by many words. Therefore, the model fitting results will present the core keywords and specific probabilities of each topic, and researchers can interpret the meaning of the document according to the model results. In this paper, we hope to use the LDA model as the basis for the emotional analysis of microblog comments.
NBA Game Analysis based on Big Data
Authors: Wang Hecheng
Published: December 2022

As an important sport, basketball has a history of more than 100 years. With the rapid development of basketball, data analysis technology has also been widely used. In basketball games, the data that people see is a set of systematic data formed by professional workers through division of labor and close cooperation, classification and statistical analysis. In addition, based on information on the field, spectators get a general idea of how athletes are performing during the game and predict where the data will go. Based on the above background, this paper discusses the significance and application of NBA game data analysis methods, and shows that in NBA games, data analysis can effectively promote the development of basketball.
Research on Attitude Control System of Quadrotor Unmanned Aerial Vehicle based on Fuzzy PID Control Algorithm
Authors: Zou Yi
Published: December 2022

The control of quadrotor aircraft mainly includes attitude control and position control. Because the change of position is caused by the change of attitude, it is most important to control the attitude of quadrotor aircraft. PID control principle is simple, easy to master, convenient to use, strong adaptability and good robustness, and its control quality is insensitive to the change of the controlled object, so it is most widely used. Quadrotor UAV is a strongly coupled underactuated system, and its stability is easily affected by system uncertainty and external interference during flight. Therefore, an improved fuzzy PID control method is proposed. In this article, the significance and ideas of constructing the attitude control system of quadrotor UAV based on fuzzy PID control algorithm are analyzed. This control strategy not only keeps the advantages of fuzzy control algorithm, which is independent of accurate model, and flexible and fast control, but also combines the advantages of PID control algorithm with small static error, and can achieve good control of nonlinear complex system.
Ray Tracing in Computer Graphics
Authors: Yu Zheng
Published: December 2022

The research is about the development of light and shadow in video games on the Internet, and also to compare the light and shadow effects displayed on video game screens using different techniques. Then, the types and history of ray tracing technology are explained, its working principle is studied, and its pros and cons are analyzed. After the research, this paper finally determined that a viable ray tracing technique in the current society is hybrid ray tracing, which is a combination of forward and backward ray tracing. Because forward ray tracing methods are too inefficient while backward ray tracing methods cannot calculate and render the light entering in front of the lens. By studying 3 main hybrid ray tracing, their advantages, disadvantages and suitable application scenarios are analyzed and determined in detail. Finally, the development and improvement of the technology in recent years are discussed. Currently, analyses of a particular ray tracing technology do exist in the market. However, there are still few articles that explore all available ray tracing technologies, taking the reader through the history and current state of ray tracing development and giving developers a more visual comparison to help them choose the most appropriate technology for the scenarios they want to develop.
Target Detection of Pointer Instrument based on Deep Learning
Authors: Wang Yi , Dong Guanglin
Published: December 2022

This paper proposed an instrument target detection algorithm based on yolov3 network for the drawbacks caused by manual inspection of pointer instruments in complex industrial environments. Firstly, the algorithm improved the model convergence speed by introducing the k-means++ algorithm to cluster out 9 sets of initial anchor boxes suitable for the pointer meter data set. Moreover, by combining the channel attention mechanism with spatial attention mechanism in the yolov3 backbone network, the extraction of shallow features was further improved by adding two residual blocks to the second residual block, then a new model yolov3-CBAM (Convolutional Block Attention Module) was formed. In addition, the mean average accuracy (map) of the training and testing of the three types of instruments on the data set reaches 90.8% by the results, which is about 2.1% higher than the original yolov3. This algorithm has obvious advantages in the patrol inspection and identification of industrial instruments.