Relevant Research Results Research Articles

Virtual Reality as a Tool for Children with Autism Spectrum Disorder

Children with an autism spectrum disorder tend to lose focus quickly. The possibility of displaying changeable, three-dimensional environments in virtual reality can increase the user's concentration time due to the stimuli used. Through the use of virtual reality, an individual assistant can be provided for the daily care and encouragement of learning for children with autism spectrum disorders. To investigate the feasibility of a virtual assistant and the acceptability of virtual reality among autistic children, a review of the literature and conducted studies is undertaken. The selection, identification and evaluation of the relevant research results is carried out according to the preferred reporting items of the systemic literature search.

Cultivar was more influential than bacterial strain and other experimental factors in recovery of Escherichia coli O157:H7 populations from inoculated live Romaine lettuce plants.

The varied choice of bacterial strain, plant cultivar, and method used to inoculate, retrieve, and enumerate Escherichia coli O157:H7 from live plants could affect comparability among studies evaluating lettuce-enterobacterial interactions. Cultivar, bacterial strain, incubation time, leaf side inoculated, and sample processing method were assessed for their influence in recovering and quantifying E. coli O157:H7 from live Romaine lettuce. Cultivar exerted the strongest effect on E. coli O157:H7 counts, which held up even when cultivar was considered in interactions with other factors. Recovery from the popularly grown green Romaine "Rio Bravo" was higher than from the red variety "Outredgeous." Other modulating variables were incubation time, strain, and leaf side inoculated. Sample processing method was not significant. Incubation for 24 hours post-lettuce inoculation yielded greater counts than 48 hours, but was affected by lettuce cultivar, bacterial strain, and leaf side inoculated. Higher counts obtained for strain EDL933 compared to a lettuce outbreak strain 2705C emphasized the importance of selecting relevant strains for the system being studied. Inoculating the abaxial side of leaves gave higher counts than adaxial surface inoculation, although this factor interacted with strain and incubation period. Our findings highlight the importance of studying interactions between appropriate bacterial strains and plant cultivars for more relevant research results, and of standardizing inoculation and incubation procedures. The strong effect of cultivar exerted on the E. coli O157:H7-lettuce association supports the need to start reporting cultivar information for illness outbreaks to facilitate the identification and study of plant traits that impact food safety risk.IMPORTANCEThe contamination of Romaine lettuce with Escherichia coli O157:H7 has been linked to multiple foodborne disease outbreaks, but variability in the methods used to evaluate E. coli O157:H7 association with live lettuce plants complicates the comparability of different studies. In this study, various experimental variables and sample processing methods for recovering and quantifying E. coli O157:H7 from live Romaine lettuce were assessed. Cultivar was found to exert the strongest influence on E. coli O157:H7 retrieval from lettuce. Other modulating factors were bacterial incubation time on plants, strain, and leaf side inoculated, while sample processing method had no impact. Our findings highlight the importance of selecting relevant cultivars and strains, and of standardizing inoculation and incubation procedures, in these types of assessments. Moreover, results support the need to start reporting cultivars implicated in foodborne illness outbreaks to facilitate the identification and study of plant traits that impact food safety risk.

Economic Instability and Global Market Fluctuations in 2023: Analyzing Causes, Impacts, and Policy Responses

The economic instability and global market fluctuations that will occur in 2023 have created various complex economic challenges and have far-reaching impacts. These dynamics are influenced by various factors, including monetary and fiscal policies, the impact of the COVID-19 pandemic, geopolitical conflicts, and changes in commodity prices. The impact of this instability can be seen in financial markets, macroeconomics, business and industrial sectors, and has significant socio-economic consequences. This research aims to analyze the causes, impacts, and policy responses to economic instability and global market fluctuations in 2023. The method used is a descriptive qualitative approach with data obtained from various relevant research results or previous studies. Data processing is carried out carefully to ensure accurate and in-depth analysis. The results of this research show that the combination of the impact of monetary and fiscal policies, the ongoing influence of the COVID-19 pandemic, geopolitical dynamics, and changes in commodity prices have contributed to global economic instability. This impact is manifested in financial market volatility, macroeconomic disruption, as well as impacts on business and industrial sectors. Socioeconomic consequences such as increasing poverty and income inequality underscore the need for effective policy responses. The policy responses taken include monetary policy strategies, fiscal measures, structural reforms, and international cooperation.

The Effect of Financial Globalization on Economic Instability: The Case of the Global Financial Crisis

Objective: Financial globalization has become a phenomenon that influences economic dynamics at the global level. The impact of financial globalization on economic instability, especially in the global financial crisis, presents complex challenges and requires in-depth understanding. This research aims to investigate the impact of financial globalization on economic instability, especially in the context of the global financial crisis.
 
 Theoretical Framework: The research began by looking at the dynamics of financial globalization that are currently occurring. After that, we will look at the various driving factors that cause economic instability. After the existing factors have been explored, we will examine the impact of this instability on economic development. Only then in the next stage will we look at the policy response to the global financial crisis. This research then concludes by looking at future challenges and opportunities for economic development.
 
 Method: The research method used is a descriptive qualitative approach, where data is obtained from the results of relevant research and previous studies. It is hoped that this data analysis will provide in-depth insight into the complexity of the impacts of financial globalization.
 
 Results and Conclusion: The research results show that adaptation to global economic changes is a necessity. International cooperation in managing financial risks is also of key importance. In conclusion, integration of sustainability dimensions in global economic policy is necessary, while understanding the challenges and opportunities faced by global society.
 
 Originality/Value: This research contributes to a holistic understanding of global economic dynamics and provides a basis for developing more sustainable and responsive policies in the future.

Research on the application of artificial intelligence aesthetics in the cultivation of aesthetic literacy of art-normal students

The aesthetic literacy of art-normal students is an important aspect of cultivating outstanding art education talents. However, the traditional aesthetic education model has problems, such as low personalization and unclear evaluation standards. Therefore, it is of great significance to study the application of artificial intelligence (AI) aesthetics in the cultivation of aesthetic literacy of art-normal students. This research uses literature review and analysis methods to systematically sort out the relevant research results and theoretical foundations of artificial intelligence aesthetics and the cultivation of aesthetic literacy of art-normal students and discusses the application methods of artificial intelligence aesthetics in the aesthetic cultivation of art-normal students. The research has found that artificial intelligence aesthetics can provide personalized learning and guidance for art-normal students and improve the learning effect by recommending learning resources and works suitable for their needs and levels.

Esrar Kullanım Bozukluğu Tedavisinde Kullanılan İnternet Tabanlı Psikososyal Müdahale Programları: Bu Programların Etkinlikleri ve Sınırlılıkları

This review focuses on the internet-based psychosocial intervention methods used in the treatment of cannabis use disorder, reviewing their effectiveness and limitations in light of the available information. Cannabis use disorder contributes to both physical and mental health issues, as well as high healthcare costs. In recent years, various internet-based psychosocial interventions have been developed for treating this condition. These interventions can be categorized into three main groups: self-help and educational programs, mobile applications and gamified interventions, and peer support with community-based platforms. Studies indicate that these internet-based psychosocial interventions could be an effective alternative for the treatment of cannabis use disorder. Their strengths include the potential to reduce the frequency and amount of cannabis use, their flexible and accessible nature, and the ability to reach a broad user base. However, limitations such as technological access and digital literacy issues, data security and privacy concerns, discrepancies in demographic and cultural diversity, and challenges in long-term follow-up and sustainability are evident, particularly in cases of severe psychological disorders or situations requiring immediate intervention. While the results of relevant research are promising, there have been a limited number of randomized controlled trials conducted. Keywords: Cannabis, Cannabis use disorder, Internet-based psychosocial interventions.

Impact of global value chain embedding on decoupling between China's CO2 emissions and economic growth: Based on Tapio decoupling and structural decomposition

With the increasing fragmentation of global production, China's participation in cross-border production sharing activities has had a considerable impact on the nation's economy and carbon dioxide (CO2) emissions. This study applied the Tapio model to quantitatively evaluate the decoupling between CO2 emissions and economic growth in China, dividing the decoupling index based on global value chains (GVCs) and domestic production within the IO framework, and introducing structural decomposition analysis (SDA) to analyze the GVC-related factors to the decoupling. The relevant research results are fourfold. (1) From 2000 to 2018, China achieved weak decoupling between emissions and economic growth. Domestic and GVC effects each had a negative impact on the decoupling; however, after 2008, the GVC effect had a promotional effect and the negative domestic effect declined. (2) Emission intensity was the primary factor promoting decoupling through domestic and GVC effects, while the scale of final demand was the main hindrance. And the negative effects of GVC-related factors declined following the economic crisis. (3) The regional and sectoral structures of GVC production (58.44 % and 56.08 %) had promotional roles in the changes in GVC effects, while GVC production linkages (−20.19 %) had hindering effects. Various factors contributed to the hindering effect from the 2008 to 2011 index, whereas from the 2011 to 2018 index, all factors contributed to the promotional effect. (4) From 2000 to 2018, the average annual global value chain effect promoted the low-carbon development of China's labor-intensive and knowledge-based manufacturing. In order for GVCs to play a positive role in decoupling, China should promote trade facilitation through international platforms, support the advancement of production technology, reasonably guide China's industries to participate in the regional and industrial links of GVCs, and develop strategic emerging industries.

Introduction to the Meta-analysis method of functional magnetic resonance imaging research and the exploration of its application in the field of acupuncture.

In recent years, the number of functional magnetic resonance imaging (fMRI) research in acupuncture grows increasingly. However, due to the differences in acupoint selection, acupuncture technique and sample size, the problems get more prominent in terms of the diverse results and the lack of common rules of acupuncture among researches. By taking the fMRI research for post-stroke motor dysfunction (PSMD) treated with acupuncture as the example, this paper introduces the fMRI Meta-analysis technology for integrating the relevant research results and extracting the common rules, namely image-based Meta-analysis (IBMA) and coordinate-based Meta-analysis (CBMA). Considering the higher feasibility of CBMA, three available CBMA methods are explained specially, including activation likelihood estimation (ALE), kernel density analysis (KDA), and seed-based d mapping (SDM). Focusing on the precautions and operation procedure of CBMA, the review is conducted systematically on the type of fMRI research, task design, analytical method, and the thinking integrity of fMRI Meta-analysis, and the review findings are collated in charts. It aims to assist readers to understand the abstract and complex theories and practical information of this technology efficiently, conveniently and systematically, and hopes to provide the references for the future learning and the application.

Factors influencing Art consumption's behavior intention: A study from China

Art consumption's behavioral intention analysis is one of the core links of art consumption's behavioral analysis. The influencing factors of art consumption's behavior intention and their relationship explain the mechanism of art consumption's behavior intention, and the relevant research results can lay a good foundation for the in-depth study of art consumption's behavior theory. This quantitative paper found out that it is of great theoretical and practical significance to study art consumption's theory on the formation mechanism of behavioral intention. The innovation of this paper mainly includes the following two aspects. Firstly, the concept of art consumption's behavioral intention is defined, and its characteristics are analyzed. The second is to construct a model of art consumption's behavioral intention.

Study of population distribution and benefits of Nipah (Nypa fruticans)

The invasion of nipah (Nypa fructicans) occurred in the Air Telang Protected Forest (ATPF), Indonesia, as a result of mangrove forest degradation caused by anthropogenic activities in the area. This research aims to analyze the distribution of nipah populations in the ATPF and at the same time describe the benefits and potential of nipah both in the ATPF and in various regions in the world. The data collected in this research consists of two types, namely primary data and secondary data. Primary data was obtained through field surveys in the ATPF area, while secondary data was obtained through literature studies of relevant research results. Nipah populations can be widely distributed in degraded mangrove forest ecosystems and invade areas outside their natural habitat because they have high adaptability to the environment, high seed productivity and effective and adaptive seed distribution. Even though the spread of nipah in the ecosystem can hinder the succession of mangrove forests, it turns out that nipah has great benefits for the community and contains important compounds that are useful for making foods, drinks and medicine..

Teacher Competence in Planning Affective Learning in Elementary Education

Students' values ​​and attitudes are related to the achievement of the affective domain in learning. Planning, implementing and evaluating learning is the job of a teacher/educator. As a learning planner, it is related to teacher competence in internalizing affective values ​​in the lesson planning process (RPP), which is the first step and guideline for implementing learning. As time goes by, the problem of values ​​that produce attitudes/actions has become an urgent matter to be resolved. Almost every day we are presented with news and direct incidents about students' bad behavior, even leading to criminal acts. So the aim of writing is to analyze teacher competence in planning affective learning at the basic education level. The method used is literature study, data is collected through text study and relevant research results. The research results show that teacher competence in planning affective learning is very important for creating affective learning in schools. These competencies include: 1) Mastering the characteristics of students from physical, moral, social, cultural, emotional and intellectual aspects, and 2) Developing a curriculum related to the subject or field of development taught, namely: a) Determining learning objectives by KKO, b) Developing types of affective material, c) Internalizing affective values ​​in learning experiences or learning method steps, and d) Selecting types of affective evaluation or assessment.

Investigations of the Mass Transfer and Flow Field Disturbance Regulation of the Gas–Liquid–Solid Flow of Hydropower Stations

With the continuous depletion of fossil fuels, all countries attach importance to clean and sustainable development. The real-time state monitoring of multiphase flows is vital for enhancing hydropower station energy conversion. However, the material mass transfer mechanism and flow field disturbance regulation strategy faces significant challenges. To solve these problems, a computational fluid mechanics and discrete element method (CFD-DEM) coupling modeling and solution method based on a particle porosity model was proposed, and the mass transfer mechanism of gas–liquid–solid mixing flows was obtained under dynamic whirl intensity regulations. Combined with the user-defined function (UDF), the interphase forces and void ratios of fluids and particles were calculated to obtain the material mass transfer laws under dynamic disturbance regulations. The evolution characteristics of the particle flow pattern were tracked during the material mixing process. The results show that the mixed flow field had a high material transport efficiency under intensive whirl regulation, especially for the particle aggregation in the center of the reaction vessel. The maximum peak velocity and energy values of the particle transport process were 3.30 m/s and 0.27 × 10−3 m2·s−2. The higher whirl regulation improved the material transport process and conveying efficiency and enhanced the particle mixing effect in the reaction space. Relevant research results can provide theoretical references for material mass transfer mechanisms, dynamic regulation strategies, and particle flow pattern identifications and can also provide technical support for hydropower energy conversion.

Analysis of the Impact of Regional Fiscal Policy on Economic Growth in North Sumatra

This study discusses the impact of regional fiscal policy on economic growth in North Sumatra. In this study also carried out the detection of fiscal illusion (flypaper effect) in fiscal policy undertaken by the local government districts/cities in North Sumatra. This study was conducted by analyzing quantitative data, that is, the data provide an overview of events using numbers, which then the results will be compared with theories and empirical evidence of relevant previous research results. The Data used in this study in the form of panel data (pool data). The results of this study showed that local revenue has a positive and significant effect on regional spending, general allocation funds have a positive and significant effect on regional spending, special allocation funds have a positive and significant effect on regional spending, simultaneously local revenue, general allocation funds, special allocation funds simultaneously have a positive and significant effect on regional spending districts / cities, directly local revenue has a positive and significant effect on economic growth proxied by Gross Regional Domestic Product, regional expenditure has a positive and significant effect on economic growth proxied by Gross Regional Domestic Product, Local revenue and local expenditure significantly affect economic growth proxied with Gross Regional Domestic Product and based on the results of research in relation to fiscal illusion from previous research can be mentioned that the fiscal illusion has occurred for a long time and in various regions in Indonesia and even in various regions in other countries. Local governments make the balance funds as the main source of revenue. Keywords: Local Revenue, Local Spending, Unconditional Grant, Growth, And Fiscal Illusion.

Low frequency vibration reduction bandgap characteristics and engineering application of phononic-like crystal metaconcrete material

Metaconcrete, as a new type of composite material with vibration attenuation characteristics, is formed by replacing traditional coarse aggregates with a heavy metal core wrapped with an elastic soft coating and mixing with cement mortar. However, due to the high bandgap frequency and narrow bandgap width, it is greatly limited in the engineering application of low frequency vibration control. In order to broaden the range and number of elastic wave bandgap of metaconcrete materials and solve the problem of low frequency vibration, a novel three-component cement-based phononic-like crystal model is proposed based on local resonance theory, and phononic-like crystal metaconcrete vibration reduction material is developed accordingly. Secondly, the band structure, bandgap mechanism, and frequency response function of the phononic-like crystal metaconcrete are calculated and analyzed, and indoor tests of the phononic-like crystal metaconcrete are conducted. Finally, a phononic-like crystal metaconcrete subway track bed is prepared using the developed phononic-like crystal metaconcrete material, and applied to the practical subway engineerings to solve the low frequency vibration problem generated during subway operation. The results show that the phononic-like crystal metaconcrete opens 6 low frequency bandgaps in the frequency range of 200 Hz, and the attenuation values are mostly above 10 dB in the frequency range of the bandgap, and the attenuation effect is good. Meanwhile, the on-site monitoring results show that the phononic-like crystal metaconcrete subway track bed has good low frequency vibration reduction effect in the 200 Hz frequency range. The maximum value of the one-third octave insertion loss of the tunnel wall is 13.22 dB, the maximum vertical Z-vibration level difference of the tunnel wall is 5.052 dB, and the maximum vertical frequency division vibration level difference of the tunnel wall is 5.926 dB. The maximum value of the vertical frequency division vibration level difference in the frequency range of 4–200 Hz is 13.87 dB, and the average value is 5.74 dB. The relevant research results of this paper provide a new technical approach to solve the problem of low frequency vibration in subway engineering and other engineering construction, breaking through the traditional vibration reduction control technology of civil engineering structures, and providing new idea and method for long-term vibration reduction and application of engineering structures.

International Experience of Civil Aviation Service Quality Evaluation

Civil aviation service quality evaluation research plays a crucial role in improving the travel experience of passengers and increasing the market competitiveness of civil aviation transport enterprises. There have been relatively abundant relevant theoretical research results, but combined with the practical application, there are still areas that need further exploration and improvement. Based on the development of the connotation of service quality evaluation, this paper reviews the research on civil aviation service quality evaluation in terms of the development history, index system, index weights, methods and models of service quality evaluation, and finds that there are obvious differences in service quality evaluation research in terms of methods and other aspects. According to the results, the international experience of civil aviation service quality evaluation can provide a reference for the construction of China's civil aviation service quality evaluation system.

Why do consumers buy NFTs?: Multi-path of attitude and the bandwagon effect

PurposeThe non-fungible token (NFT) market has been multiplying in recent years. NFTs are tokens stored on a blockchain network based on smart contract technology that can be used to represent ownership of digital assets and cannot be changed like-for-like. With NFTs, all recorded digital properties can be freely traded and stored with values, making them possible to increase content transactions' privacy and security. In addition, NFTs engender new ways to organize, consume, share and store digital content. Despite the rapid growth of the NFT market, related consumer behaviors have yet to be well-known and relevant academic research results are very scarce. This study aims to explain how NFT fits with blockchain and cryptocurrency and how consumers accept it. This paper also develops a structured causal model with multiple paths to explain the antecedents and attitude variables for NFT acceptance.Design/methodology/approachThe data collection was conducted from 542 young consumers in Korea via an online survey. The structural equation modeling method was used to analyze the hypotheses.FindingsAttitudes toward technology and assets positively affect NFT purchase behavioral intentions. Additionally, symbolic driver affects behavioral intention directly.Originality/valueThe results expanded the understanding of the NFT market and consumers, which are still in their early stages. They also provide valuable insights for establishing future market strategies for NFT.

A Review of the Resourceful Utilization Status for Decommissioned Power Batteries

With the rapid development of the new energy vehicle industry, the number of power battery decommissioning is increasing year by year. The recycling of power batteries is of great significance for protecting the ecological environment, improving the efficiency of resource utilization, and ensuring the sustainable and healthy development of the new energy automobile industry. In this study, the chemical compositions of power batteries were introduced, the technical path and development status of the echelon utilization of decommissioned power batteries were discussed, and the specific steps and challenges of regenerative utilization of decommissioned power batteries were described in detail from two aspects of pyrometallurgy and hydrometallurgy. Combined with the relevant research results, the main methods of the direct regeneration of positive electrode materials were analyzed. Finally, the main development direction and related suggestions for the resource utilization of decommissioned power batteries were put forward.

A Literature Review of the Studies on the English Translation of Literary Works by Chi Zijian

As one of the most representative ethnic literature writers, Chi Zijian has written myriads of works, some of which are translated into many foreign languages. This paper aims to collect and study on these English translational works so that more relevant research results can be supplied to the study on the translational works by Chi Zijian.

Pekerja Perempuan Yang Terikat Perjanjian Kerja Waktu Tertentu Pada Object Vital Nasional

The legal provisions and regulations contained in Law No. 13 of 2003 concerning Employment related to Specific Time Work Agreements (PKWT) can provide protection for workers in existing employment relationships. This is because when the application of the Specific Time Work Agreement (PKWT) system is not in accordance with the provisions and rules in Law No. 13th of 2003 concerning, of course, having an unfavorable impact on employment development, which aims to provide protection and justice for workers and laborers as part of human resource development in Indonesia, Researchers observed a gap between das sein and dass sollen. The formulation of the problem is how is the legal protection of women workers who are bound by PKWT to National Vital Objects in Kolaka Regency. The type of research used by researchers in this study is empirical-juridical. The research approach used is empirical-juridical, which is closely related to the case approach. Sources of legal materials use primary data, namely interviews and observations conducted by researchers by visiting the research site directly. Secondary data uses primary legal materials, namely applicable laws and regulations, secondary legal materials, namely books, journals, and relevant previous research results, as well as tertiary legal materials in the form of websites. Data collection techniques using in-depth interviews and observation All primary and secondary data in this study were collected and analyzed qualitatively. Conclusions are drawn deductively. The results of his research show that there are three legal protections: pre-employment, during employment, and past employment. The conclusion is that it consists of 3 legal protections, namely preventive legal protection for pre-employment (in the form of announcements of job vacancies, selection of prospective workers, Medical Check Up, and placement of workers); legal protection that is repressive during employment (in the form of providing wages based on the Provincial Minimum Wage/UMP, providing additional roster leave money for those who get roster leave rights, and providing annual allowances, granting leave rights in the form of annual leave, long leave, mass/together leave, roster leave and sick leave, special leave rights for women workers namely maternity leave, abortion leave, and menstruation leave, reimbursement for maternity expenses, protection for women workers when working at certain hours, permission to leave work while still receiving wages, protection for safety and health work by providing personal protective equipment, health insurance protection); as well as legal protection that is repressive in nature past employment, (in the form of the right to get BPJS Ketenagakerjaan pension benefits/JP, the right to get BPJS Ketenagakerjaan old age benefits/JHT benefits)

Adoption of Quantum Computing in Economic Analysis: Potential and Challenges in Distributed Information Systems

INTRODUCTION: Quantum computing technology has become a center of attention in various scientific disciplines, including economic analysis. The adoption of quantum computing in economic analysis offers tremendous potential to improve the processing of complex economic data and provide deep insights. However, the use of quantum technology in the context of distributed information systems also raises several challenges, including data security and the limitations of quantum technology. OBJECTIVE: This research aims to investigate the implications of adopting quantum computing in economic analysis, with a focus on distributed information systems. METHODS: This research was carried out using a descriptive qualitative approach, with data derived from the results of relevant research and previous studies. The collected data will be processed and analyzed to gain a deeper understanding of the adoption of quantum computing in economic analysis in distributed information systems. RESULTS: This research then finds that the adoption of quantum computing in economic analysis has the potential to increase efficiency, accuracy, and depth of economic insight. However, limitations of current quantum technologies, including quantum errors, limited scale of operations, and data security issues, limit their applications. In the long term, research and development will be key to overcoming these obstacles and maximizing the potential of this technology in economic analysis. CONCLUSION: The long-term implications include increased economic competitiveness and significant changes in the way economic decision-making is carried out, assuming that ethical and regulatory issues are also carefully considered.