Results Of Research Research Articles

Application of Large Language Model Based on Knowledge Graph in Speech Dialogue System

Abstract. This paper comprehensively discusses the development status and future direction of AI-driven voice interaction systems, focusing on key technologies such as automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech (TTS). With the continuous advancement of deep learning technology, voice interaction systems have achieved significant improvements in accuracy, naturalness, and user experience. However, these systems still face challenges such as accent recognition, background noise processing, complex query comprehension, and emotional expression. By analyzing the existing research results, this paper proposes that the research should focus on developing more robust models to achieve generalization across languages and dialects, and improve the system's ability to handle complex interactions.

Spatio-temporal changes in atmospheric aridity over the arid region of Central Asia during 1979–2019

The arid region of Central Asia (CA) is the largest non-zonal arid region in the world. It has experienced significant changes in climate and hydrological cycle systems owing to global warming, which has posed serious impacts on the water resources and ecological environment in this region. Although the atmospheric water vapor pressure deficit (VPD) can directly reflect the atmospheric moisture condition, studies on the change of atmospheric moisture deficit in CA are scarce. Thus, we investigated the changes in VPD in the arid region of CA from the perspective of atmospheric aridity based on the CRU TS4.04 and ERA5 data. Our results showed that the VPD in more than 95 % of grids in the arid region had a significantly increasing trend during 1979–2019. Seasonally, VPD trends were increasing in spring, summer, and autumn but decreasing in winter. The changes in saturated water vapor pressure and actual water vapor pressure determined the VPD changes. The saturated water vapor pressure showed a clearly upward trend, whereas the actual water vapor pressure did not increase at the same rate, resulting in the increase of VPD. The first four leading modes revealed by empirical orthogonal function (EOF) analysis represented the patterns by explaining 81.4 % of the total variance. The positive phase of EOF1 was characterized by a monopole pattern, and this mode continued to increase. Contrastingly, EOF2 (and EOF3) showed dipole patterns over east–west CA (and north–south CA), with a mainly interannual variability. Due to the combined effect of increasing temperatures and decreasing relative humidity, the VPD has been intensifying since the mid-to-late 1990 s in CA, and the atmosphere has become significantly drier. These research results can deepen the scientific understanding of global warming impacts on atmospheric moisture and provides a reference for revealing the VPD changes and their impacts on the climate system and ecosystem in arid regions. Our results highlight that the impacts of VPD change should be adequately considered in environmental management and policy-making processes in Central Asia.

Analysis of failure modes and impact resistance factors of PDC cutters

The service life of PDC cutters directly affects the overall drilling performance. In hard and heterogeneous formations, PDC cutters often fail prematurely due to dynamic impacts, leading to short footage and slow penetration rates. Enhancing the dynamic impact resistance of PDC cutters is crucial for achieving one-run drilling and reducing costs. This paper systematically studies the main factors influencing and optimizing the impact resistance of PDC cutters. First, the failure modes of hundreds of returned PDC drill bits were statistically analyzed, revealing that dynamic impact failure, wear failure, thermal damage, and erosion are the primary failure modes. Among these, dynamic impact failure is the most prevalent, with dynamic impact load being the main cause. Following the successful practices of leading international drill bit companies, a set of dynamic impact test and evaluation devices for PDC cutters was designed, and corresponding testing standards were established. Based on this, 19 types of PDC cutters were tested for impact resistance, exploring the effects of cutter diameter, diamond layer thickness, chamfer, cobalt removal, and cutter design on impact resistance. An optimized design methodology to enhance impact resistance was summarized, leading to the proposal of a new arch-axe cutter design. Indoor impact test data verified the superiority of this cutter. The research results indicate that cutter design (non-standard cutters) can significantly improve the dynamic impact resistance of PDC cutters. Additionally, increasing the cutter diameter and chamfer size while reducing the diamond layer thickness also enhances the dynamic impact resistance of PDC cutters. Through the optimization of the arch-ridge design, the independently developed arch-axe cutter improved the dynamic impact resistance by 106.45% and 71.43% compared to flat circular cutters and axe-shaped cutters, respectively.

Growth Response of Kappaphycus Alvarezii at Different Depth in the Waters of Batu Bao, East Nusa Tenggara

ABSTRACT Seaweed is one of the important fisheries commodities with significant economic value. Kappaphycus alvarezii, commonly known as Eucheuma cottoni in the market, is a type of seaweed that produces kappa carrageenan. This research aims to determine the effective planting depth for the growth, morphological and histological changes, and the environmental parameters influencing the growth of K. alvarezii. The cultivation method used in this research is the longline method, and it employs a Completely Randomized Design consisting of four treatments: 15cm, 30cm, 45cm, and 60cm, with each treatment replicated five times. The data were analyzed using analysis of variance, and if significant differences were found, Duncan's post hoc test was conducted. The research results indicate that an increase in planting depth has a significant impact on specific growth rate (SGR) and average growth rate (AGR). Deeper planting depths result in slower growth. The best depth for the growth, morphology, and histology of K. alvarezii during the study was observed at a depth of 15 cm. Environmental parameters such as temperature, salinity, water flow rate, water clarity, and pH have a positive influence on the growth of K. alvarezii.

Planning of the investigation of criminal offenses in the sphere of economic activities committed involving law enforcement officials: The Ukrainian perspective

The article is devoted to formulation of theoretical principles and practical recommendations regarding organization and planning of the investigation of criminal offenses in the field of economic activity, which are committed with the participation (assistance) of law enforcement officers. The methodology for the article is chosen taking into account the purpose and tasks, object and subject matter of the study. The research results were obtained with the help of the following methods: dialectical; formal and logical; formal and legal; comparative and legal; historical and legal, complex analysis; analysis and synthesis; axiomatic; system and structural method. The obtained results of the study indicated that organization and planning of the investigation of criminal acts under consideration is a purposeful activity of the authorized bodies, which is carried out under the guidance of the investigator, detective of the pre-trial investigation body. These activities require systematic, comprehensive approach and must take into account a wide range of circumstances that can affect the process and results of the investigation: the nature of the criminal offense, access to the necessary financial, human and technical resources; the competence of the investigator, the detective; terms and deadlines for investigation and presenting materials to the court, establishing effective cooperation between competent authorities. The study highlights the peculiarities of the organization and planning of the investigation of criminal offenses in economic activities, when law enforcement officers are involved, and suggests directions for improving the effectiveness of their implementation.

Preface: 8th International Conference on Education, Management and Social Science (EMSS 2024)

At the end of 2024, we would like to present an international proceeding that containing of the selected papers from the 2024 8th International Conference on Education, Management and Social Science (EMSS 2024). This conference is an annual important event to publish of research results. We are hoping that the event will become a foothold of thinking in welcoming of global developments. In addition, publications packaged in this seminar will further strengthening existence and reputation as an educational institution that excels in scientific publication at national and international levels. EMSS 2024 is a leading international conference for researchers and practitioners to share their new ideas, original research results and practical development experiences from education research, management engineering, historical research, humanities, sociology, and social science. This conference was held in Manila, Philippines during September 21-22, 2024 with the aim to act as a forum for exchange and dissemination of knowledge and ideas on the latest developments. We hope the international proceedings will be able to encourage students, teachers, lecturers, practitioners, researchers, and higher education community in developing scientific research and publications to support the nation's developments. EMSS Organizing Committees Manila, Philippines

Blow Your Mind: Exploring the Effects of Scene-Switching and Visualization of Time Constraints on Brainstorming in Virtual Reality

Brainstorming, a creative activity that aims to generate ideas, plays a crucial part in problem-solving processes and is widely employed to explore innovative solutions across various contexts. It may suffer from repetitive results, inefficient time management, and stagnation in discussion. Seeing the rich opportunities of virtual reality (VR) in visualizing the environments, we propose to use (1) scene-switching and (2) creative visualization of time constraints to facilitate this process. The current study sought to explore the effects of these two factors on brainstorming performance in VR. By conducting a mixed-method study of 20 three-participant groups, we found that scene-switching and implicit time limitations can stimulate creativity, establish diverse atmospheres, and open up new conversations during brainstorming. Additionally, we provide suggestions for visualizing time constraints and various virtual environments based on research results.

Agile Project Management in the Pre-Construction Stage: Facing the Challenges of Projectification in the Construction Industry

Given the complex and dispersed nature of construction projects, which demand collaboration among varied experts, it is crucial to reevaluate project management and execution approaches to enhance their performance. Agile principles offer a path towards heightened responsiveness within tasks and processes, addressing the construction industry’s fast-paced nature and growing client demands for timely project completion. However, adopting new management methodologies, such as Agile, needs a significant cultural shift, enabling the cultivation of multi-skilled and self-managing teams. Projectification, a growing trend in contemporary society where more activities are managed as projects, has gained significant relevance in recent years. This study examines the application of Agile project management (specifically Agile Scrum methodology) during the pre-construction phase of a construction project through the lens of Projectification. As evidenced by the research results, applying the Agile methodology in the pre-construction phase may help enhance flexibility and collaboration, enabling teams to adapt quickly to evolving project requirements and unforeseen challenges. The findings demonstrate that Agile methodologies offer numerous benefits, including enhanced adaptability, flexibility, accountability, transparency, and teamwork. Additionally, there were significant reductions in time and costs, emphasizing the value of Agile practices in construction project management.

Time Complexity of Knuth Morris Algorithm and Rejang Algorithm in Rejang-Indonesian Translator

Among the pattern-matching algorithms is the Knuth-Morris algorithm. In order to minimize the number of comparisons required and, in the worst scenario, achieve an ideal O(n+m) running time, the Knuth-Morris search algorithm skips unneeded comparisons. Every character in the text and every character in the pattern must be checked at least once by the pattern-matching algorithm. The Knuth-Morris algorithm's primary goal is to preprocess the pattern string P in order to determine the failure function f, which displays P's precise shift, so that earlier comparisons can be reused. In order to extract the fundamental word of the attached sentence, words containing affixes are separated using the Rejang stemming method. The purpose of this research is to determine the time complexity of the Rejang method and the Knuth-Morris algorithm based on affix groups. The Rapid Application Development (RAD) approach, which entails planning, designing, building, and implementing, is used during the research stages. The research results have produced efficient and effective Knuth Morris algorithm and Rejang algorithm, where efficiency is indicated by the algorithm time complexity of O (log n), and effectiveness is indicated by the accuracy results of 99% against testing 6000 affixed words.

Vaccination as an element of health security management - analysis of factors of patient attitudes towards COVID-19 preventive vaccinations based on the opinions of healthcare experts

Background: Preventive vaccinations play a significant role in reducing the spread of infectious diseases. They mitigate the course of infectious diseases and limit the occurrence thereof. Thus, they allow maintaining the health security of citizens and are one of the activities that allow for effective population health management. However, even though vaccinations bring significant benefits to the population as a whole, the attitudes of individuals to them raise a number of controversies. Objective: The aim of the study was to analyze the characteristics and factors of patient attitudes towards COVID-19 preventive vaccinations based on the opinions of healthcare experts. The study was carried out in the framework of a project "The interdependence of lifestyle and attitudes towards COVID-19 preventive vaccinations", which finished in June 2023. Method: The research method was an in-depth telephone interview with experts who had previously studied the research problem and the results of quantitative research, and expressed individual opinions on the factors of patient attitudes towards COVID-19 vaccinations. The experts indicated various factors which, in their opinion, can influence patient willingness to be vaccinated against COVID-19. In the research process, four main factors were found: patient social environment and patient experience; patient knowledge and awareness, social impact (message of medical authorities and political decision makers), balance of benefits and risks. Results: The results obtained in the study and the conclusions drawn show the need for further, in-depth research in patient attitudes towards preventive vaccinations, not only COVID-19 vaccinations.

The Role of Human Resource Management Strategy in Creating Superior Quality Educators

This research is motivated by the urgent need for schools to have competent and superior human resources (HR) to support the success of education. HR management is strategically related to individuals' contribution to achieving academic goals. The quality of human resources in schools is essential in determining the quality of education and achieving national standards. This research aims to understand the role of human resource management in creating superior human resources in schools. The method used is a Systematic Literature Review (SLR) to analyze 30 nationally accredited articles from Google Scholar. SLR was chosen because it can provide a comprehensive picture and synthesize various relevant research results, resulting in more valid and reliable conclusions. The study results show that human resource management is central to creating quality education personnel through administrative management and teacher recruitment and selection, professional development, performance evaluation, welfare, fair compensation, school culture development, and conflict management. All of these aspects support each other in building superior human resources, ultimately improving the quality of education. This study contributes significantly to understanding the importance of HR management in the educational environment. It offers best practices that schools can apply to improve the quality of education personnel.

Assessing the utility of low-emission pilot policies for facilitating pollution reduction and carbon mitigation: An empirical investigation using multi-temporal double difference analysis

Collaborative governance for pollution reduction and carbon mitigation can effectively resist the pressure brought about by ecological and environmental changes while reducing policy costs. To explore the “win-win” path of pollution reduction and carbon mitigation,” based on panel data from 286 cities in China from 2000 to 2021, this study regards the low-carbon city pilot policy (LCCP) as a quasi-natural experiment and explores its impact on urban carbon emissions and pm2.5 concentration. Multiple testing methods, including multi-temporal double difference, spatial autocorrelation, local cold and hot spot analysis, kernel density analysis, standard deviation ellipse, spatial Durbin model, and PSM-DID, were used to verify the credibility and scientificity of the research results. The results showed that (1) LCCP had a direct effect on reducing pollution and carbon emissions, reducing co2 emissions by 3% and pm2.5 by 2.9%, with a synergistic effect of 20.2%; (2) the synergistic effect of LCCP on pollution and carbon reduction was indirectly achieved through green finance, green technological innovation, and green transportation, with impacts of 3.6%, 5.5%, and 2.4% in eastern, central, and non-resource based cities, respectively; and (3) the spillover effect coefficient of LCCP on carbon emission reduction in surrounding cities was −0.040 and that on pm2.5 concentration was −1.232, which are significant at the 10% and 1% levels, respectively.

Preface: 7th International Conference on Chemical Engineering and Advanced Materials (CEAM 2024)

The 2024 7th International Conference on Chemical Engineering and Advanced Materials (CEAM 2024) was held in Philadelphia, USA during September 28-29, 2024. This conference aims to provide opportunities for all participants to exchange new innovative ideas and application experiences as well as to provide a platform where possible innovators can think of new ventures, generate contacts and networks for future collaboration. The CEAM 2024 topics include chemical engineering, biological chemistry, biological pharmacy, food science, chemical materials, nano materials, materials processing engineering, and advanced materials applications. This conference brought together leaders from industry and academia to exchange and share their experiences, present research results, explore collaborations, and to spark new ideas, with the aim of developing new projects and exploiting new technology. On behalf of the conference organizers, we would like to thank the reviewers for their time and effort in reviewing the papers. Their feedbacks to the authors have been excellent and useful to ensure high quality papers for the conference. Our appreciation to all keynote speakers for sharing their thoughts and experiences with respect to various topics. Our sincere thanks also go to all attendees from all around the world for participating in the conference. Finally, we would like to thank the organizing committee members for their hard work, cooperation, and insights in ensuring the success of this conference. Scientific Committee of CEAM 2024 Philadelphia, USA

Systematics of the Forms of Schizophrenia in the Concept of AV. Snezhnevsky

Background: Although there are international classifications of schizophrenia, the clinical approach to the systematization of schizophrenia developed by russian scientists has not lost its signifcance to date. The main role in the development of the schizophrenia of the national psychiatric school belongs to the famous Russian psychiatrist A.V. Snezhnevsky and his colleagues. The aim of review: to analyze the forms of the course of schizophrenia according to the concept of A.V. Snezhnevsky. Materials and methods: review of the main publications of A.V. Snezhnevsky and colleagues on the question of the doctrine of forms of schizophrenia course. Conclusion: The review summarizes the main research results of the national psychiatric school under the leadership of academician A.V. Snezhnevsky in the formation of the doctrine of schizophrenia.

Study on the failure and acoustic emission characteristics of coal under graded cyclic loading and unloading stress paths

To study the influence of cyclic disturbance stress on the mechanical behavior of coal during mining, a gas containing coal fluid-solid coupling servo seepage experimental system was used to conduct experimental research on the acoustic emission (AE) characteristics of gas containing coal under two stress paths of graded cyclic loading and unloading. The AE characteristics of coal damage and failure processes under different cyclic stress paths were analyzed. The research results indicate that: (1) The overall characteristics of AE signals for both graded cyclic loading and unloading paths are basically the same. With increasing of the amount of graded cyclic loading or unloading, the AE count reaches its maximum value when reaching failure, and the cumulative ringing calculation of AE increases exponentially. (2) The AE signals under the graded cyclic loading or unloading path exhibit obvious zoning characteristics. In the low and medium stress regions, the AE signal basically satisfies the Kaiser effect, while reaching the high stress region before failure, the AE signal exhibits a significant Felicity effect. (3) The concentration coefficient of AE and the intensity coefficient of the Kaiser effect have been newly defined. They are used to quantitatively characterize the extent of the Kaiser effect of AEs under graded cyclic stress. It was found that as the variation of graded cyclic stress increases, the concentration coefficient and Kaiser effect intensity coefficient both show a decreasing trend. (4) Combining the AF and RA values of AE, it was found that the coal failure signals of the two stress paths were basically similar, that is, the overall failure was mainly tensile failure, and the signals of cyclic unloading tensile failure were significantly more than those of cyclic loading. The AE signal characteristics studied in this article are of great significance for predicting coal power disasters.

The inverted U-effect of digital financial inclusion on household food carbon footprint in China: The moderating roles of environmental concern and future expectations

Digital financial inclusion (DFI) is an enabler for achieving carbon peak and carbon neutrality. We use China Family Panel Studies (CFPS) data spanning 2014 to 2020 to investigate the impact of DFI on household food carbon footprint (HFCF) in China. We find that (1) DFI has an inverted U-shaped effect on HFCF, changing from promotion to suppression; (2) The impact of DFI on HFCF demonstrates multidimensional heterogeneity. The impact of DFI on HFCF demonstrates multidimensional heterogeneity. The inverted U-shaped relationship is more pronounced in non-agricultural households, households with high-educated head, high-income households, households with unhealthy lifestyle heads, low-status households, households without the Internet, and households in the eastern, central, low-industrialization, high-urbanization and low-environmental regulation region; (3) Environmental concern and future expectations significantly moderate the inverted U-shaped relationship between DFI and HFCF, where environmental concern strengthens and future expectations weaken the effect; (4) Considering the dimensions of DFI, usage depth and digitization level of DFI have nonlinear effects on HFCF, while coverage breadth consistently exerts a positive influence. Policy implications are derived from the research results.

Influencing factors and prospects of Chinese agricultural outward foreign direct investment

Against the backdrop of global economic and trade internationalization, China's outward foreign direct investment has exhibited consistent growth over the years. Notably, China has engaged in agricultural cooperation with over 100 countries, becoming the global leading donor of foreign direct investment in agriculture and the world's fifth-largest importer of agricultural products. This paper reveals the structure of Chinese agricultural outward foreign direct investment to summarize their developmental stages and influencing factors. The study utilizes relevant data on China's foreign direct investment from 2014 to 2023 to assess the investment stage and analyze the future development trends in China's agricultural trade. The research results indicate that currently, despite some decline in 2021 and 2022, China's agricultural foreign direct investment is in a stage of rapid development. It can be concluded that the levels of agricultural economic development, national policy support for agriculture, and agricultural technology have all improved. However, the structure is significantly influenced by global external factors, although the overall trend remains favorable, with significant potential for advancement. The results could also have important practical significance for further promoting the growth of the scale of agricultural foreign investment and enhancing the international competitiveness of China's agriculture.

Analysis of Building Distribution and Accessibility of Kanigoro Urban Roads

The Kanigoro Settlement Area's land is mostly utilized for residential and agricultural purposes. Modifications to the city's construction and development are necessary to turn Kanigoro into a sustainable urban region, particularly in the field of urban morphological pattern development. City or area morphology may be analyzed using three primary components: building density, land use patterns, and road network patterns. This research aims to investigate the urban morphology pattern in Kanigoro Urban Area, focusing on road accessibility and building dispersion. In order to accomplish this goal, land use and building distribution were identified using satellite image data from 2011, 2015, 2019 and 2023, along with questionnaire data on residential location selection. The findings demonstrate that elongated patterns dominate settlement patterns in Kanigoro, with group patterns and the main road network following closely behind. Kinship and historical factors also play a role in this pattern. During the study, there was a notable increase in settlement growth, particularly on main transportation routes. The population density analysis shows that there is a concentration of population in the city center and some rapidly developing residential areas as a result of this rapid settlement growth. According to the road accessibility analysis, most areas are served by arterial roads, but there are still some areas with limited accessibility, especially with regard to collector roads. Based on the research results, there is a need for sustainable integrated spatial planning, adequate infrastructure, improving the quality of the collector road network and developing integrated public transportation.

A Review on the Inertial Measurement Unit Array of Microelectromechanical Systems

In recent years, microelectromechanical systems (MEMS) technology has developed rapidly, and low precision inertial devices have achieved small volume, light weight, and mass production. Under this background, array technology has emerged to achieve high precision inertial measurement under the premise of low cost. This paper reviews the development of MEMS inertial measurement unit (IMU) array technology. First, the different types of common inertial measurement unit arrays are introduced and the basic principles are explained. Secondly, IMU array’s development status is summarized by analyzing the research results over the years. Then, the key technologies and corresponding development status of IMU array are described, respectively, including error analysis modeling and calibration, data fusion technology, fault detection, and isolation technology. Finally, the characteristics and shortcomings of the past research results are summarized, the future research direction is discussed, and some thoughts are put forward to further improve the accuracy of the IMU array.

Identify the Purity of Sesame Oil from Sesame Seeds (Sesamum indicum L.) and Analysis Using the ATR-FTIR Method

Sesame seeds (Sesamum indicum L.) are a plant that produces the most important and oldest oil known to man. Apart from being rich in nutrients, sesame consists of important functional components such as sesamin, sesamolin, sesamol, sesaminol, sesamolin phenol, and other lignan-like active ingredients and can trigger the motive to produce sesame oil by adulteration in order to achieve market desires. The aim of this research is to identify the purity of sesame oil and analyze it using the ATR-FTIR method to detect and prevent counterfeiting. Testing the characteristics of sesame oil can be adjusted to the quality requirements that have been set, one of which is the Indonesian National Standard (SNI) so that the quality of sesame oil circulating on the market is guaranteed. This research is non-experimental research. Sesame seed oil resulting from pressing is based on the test requirements of SNI 01-4468-1998 including the physico-chemical properties test. The results of the sesame seed oil profile are that the sesame seed oil extraction yield is 29.265%, the sesame oil is bright yellow in color, has a distinctive smell, specific gravity (20oC) 0.9237± 0.0057, refractive index 1.4702 ± 0.0005, peroxide value 2 ± 0.0577 meqO2/Kg, iodine value 107.1 ± 0.5773, and acid number 0.224 ± 0.0577. Based on the research results, it can be concluded that the pressed sesame seed oil has met the requirements of the SNI 01-4468-1998 test, and from the functional groups that appear in the ATR-FTIR it can be concluded that the pressed sesame oil contains methyl ester group compounds.