bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Potensi Pengembangan Wisata Alam Air Terjun Sewawar dan Air Terjun Sedinding Di Kabupaten Karanganyar
Authors: Pradipta Made Prasta Yostitia Pradipta
Published: March 2024

Air Terjun Sewawar dan Sedinding merupakan sebuah obyek wisata alam di daerah Kabupaten Karanganyar. Kurangnya pengembangan terhadap potensi tersebut khususnya dalam A4 (Atraksi, Akses, Amenitas, dan Ancillary) membuat kurang terkenalnya Air Terjun Sewawar dan Sedinding. Disamping itu belum adanya dukungan dari pemerintah membuat air terjun ini kurang terkenal. Maka dari itu tujuan penelitian ini adalah untuk menganalisis potensi khususnya A4 di wisata alam Air Terjun Sewawar dan Sedinding. Penelitian ini dilakukan dengan metode deskriptif kualitatif dibantu dengan analisis data sekunder berupa wawancara dan jurnal-jurnal terkait obyek wisata. Hasil yang didapat dari penelitian ini adalah dari hasil wawancara dan observasi didapat bahwa benar adanya belum adanya dukungan dari pemerintah dan kurangnya A4 dalam pengembangan atraksi wisata alam berupa air terjun dan diperlukan perbaikan ataupun pengembangan dalam bidang A4.
Pengembangan Agrowisata Merah Jambu Berbasis Wisata Edukasi Di Kabupaten Karanganyar
Authors: Amalia Chusna Silfi , Pradipta Made Prasta Yostitia , Sadiarti Budiningtyas Erna
Published: March 2024

This study aims to find out what developments should be done by Merah Jambu Agrotourism in order to become an education-based Agrotourism in Karanganyar Regency. Through education-based agro-tourism development efforts, it is hoped that it can help improve the economy of the community around the agro-tourism area and education can become a new attraction that can attract tourists. In this study, the author uses a qualitative descriptive method. Data collection techniques were carried out by means of library research, observation, interviews and documentation, data analysis techniques used were data reduction, data presentation and conclusion drawing. Next, test the validity of the data in this study using the triangulation technique. Based on the results of the study, it can be found that the problems that exist in the Merah Jambu Agrotourism are the absence of attractions and also the lack of facilities in the Merah Jambu agrotourism. Therefore, the need for agro-tourism development as in the tourism development theory by Cooper, namely A4 (Attractions, Accessibility, Amenity, and Ancillary) and the development of education-based attractions in agro-tourism in the form of agricultural education tourism systems in plantation areas and the use of restaurants as facilities for workshops can be realized. by Merah Jambu Agrotourism to become an education-based Agrotourism in Karanganyar Regency.
MAKNA SIMBOLIK RITUAL SOTOBA MAJELIS NICHIREN SHOSHU BUDDHA DHARMA INDONESIA (MNSBDI) Kajian Folklor
Authors: Ratmawati Ratmawati , Junaidi Junaidi , Paramita Santi
Published: March 2024

Penelitian ini bertujuan mendeskripsikan latar belakang munculnya dan pelaksanaan ritual Sotoba, mendeskripsikan simbol-simbol dan fungsi pelaksanaan Sotoba bagi umat MNSBDI.  Penelitian ini menggunakan metode kualitatif deskriptif naratif. Hasil penelitian ini menunjukan bahwa Sotoba merupakan badan pencapaian kesadaran Buddha untuk almarhum, bersama Myohorengekyo. Sutra yang dipakai yaitu bab Upaya Kausalya dan Bab Panjangnya Usia Sang Tathagata . Fungsi ritual Sotoba bagi masyarakat MNSBDI sebagai sistem proyeksi, angan-angan yaitu pemohon memperoleh karunia yang dapat dirasakan tujuh keturunan keatas dan tujuh turunan kebawah. Sebagai alat pengesahan pranata-pranata dan lembaga kebudayaan. Ritual Sotoba sebagai pranata yang syah dalam tradisi doa kematian di MNSBDI, sebagai wujud pendidikan balas budi anak kepada orang tua serta sebagai wujud cinta kasih terhadap semua makhluk. Ritual Sotoba sebagai alat pemaksa bagi umat MNSBDI dan sebagai bentuk taat dengan ajaran yang ada di Saddharmapundarika-Sutra
COVID-19 PREVENTION SIGNS IN THE INDONESIA'S SUPER PRIORITY TOURIST DESTINATION
Authors: Prasetyo Lery , Artawa Ketut , Mulyawan I Wayan , Purnawati Ketut Widya , Suardiana I Wayan
Published: March 2024

After a long struggle against Covid-19 for more than a year, the spread of COVID-19 in Indonesia gradually decreased and was considerably under control. Several public places, including some tourist destinations, were allowed to re-open. The Ministry of Tourism and Creative Economy made 20 tourist attractions for trial, including the Borobudur temple, the world’s largest Buddhist temple. It is carried out cautiously and under strict health protocols procedure. Implementing health protocol regulations was encouraged by making and placing many protocol signs in strategic places. The aim of this study was to identify and investigate the compositions meaning of the COVID-19 prevention sign at Borobudur Temple. The data were collected through the documentation method with photographic technique. The result showed that all signs have real and ideal information value. Salience signs appear as a result of a variety of fascinating text and images. The framing of the sign is presented in centered/circular with a linear and nonlinear composition. Overall, the signs proved the management of Borobudur temple’s strong commitment to opening the site with strict protocols to prevent the spread of COVID-19 in the Borobudur area.
Review Research on Foreign Language Anxiety and Foreign Language Self-Efficacy
Authors: Wang Shanshan , Yue Xinran
Published: March 2024

Stephen Krashen points out emotional factors are of vital importance in second language acquisition (SLA) in the affective filter hypothesis, and the humanistic educational ideas represented by Carl Rogers also emphasize the important role of it. Anxiety and self-efficacy are two major factors that have greatly affected students’ foreign language learning (FLL) and their performance. This paper mainly reviews the concepts, development, and influencing factors of foreign language anxiety (FLA) and foreign language (FL) self-efficacy, concluding their relationship that the two factors are interactive which are in accordance with the cyclical relationship between anxiety, motivation, confidence and behavior. Pedagogically, figuring out the correlation between FL self-efficacy and FLA can improve learners’ SLA performance. In the end, the paper proposes feasible intervention measures for teaching from the relationship between FLA and FL self-efficacy. Teachers are expected to adjust FLA and enhance students’ FL self-efficacy of SLA, for students, maintaining an energetic and active study state is of vital importance.
A review of deep learning based intrusion detection systems
Authors: Wei Yutong , Shangguan Mingjia
Published: March 2024

Network security is a key issue in the era of rapid Internet development and new technologies are needed to enhance the security protection of network systems. As the first line of defence for the security of network systems, IDS is considered to be one of the important network tools for managing network security. Traditional network intrusion detection methods usually use machine learning techniques. However, deep learning, a more powerful machine learning method, has the advantages of mature technology, wide applicability and high accuracy, and has shown its advantages in various fields such as image recognition, natural language processing and computer vision. It can also be applied to network security detection, as it can effectively handle large-scale, complex datas and detect unknown, sophisticated network attacks. This paper will provide a summary of machine learning techniques and deep learning techniques in intrusion detection systems, as well as examples of IDSs using deep learning, and conclude with a summary and outlook.
Study on Intelligent door lock system based on Internet of Things and intelligent identification technology
Authors: Wu Tailin , Yun Xiaoyan , Liu Yuru , Liang Chanjuan , Xue Yonghui , Liu Yubo
Published: March 2024

In recent years, with the continuous development of science and technology and artificial intelligence technology, intelligent household has come into the people work, life, widely used powerful, bring many benefits to people's life and work, "smart home", "intelligent" concept is deeply rooted in the hearts of the people, people improve the better life quality with the development of society, also greatly improve the happiness of people use furniture products. Among them, in the smart home, the smart door lock, as the most widely used category, due to the particularity and privacy of its own application scope, its security problem has always been the focus of people's attention. And the security door closely related to life can not meet people's needs for safety, intelligence, convenience and other aspects. At present, most of the security doors on the market still have the problems of single function, low anti-theft level and low degree of intelligence. According to the statistics of the public security department, in many big cities, up to 50 percent of burglary cases are committed by criminals using technology to open doors, while more than 20 percent are violent sabotage. These crimes reflect that the lock is the key point to protect the door house, and once the lock is broken, the door is opened. At present, the development of intelligent door lock has become increasingly mature, for the way of intelligent door lock, is not a simple way of unlock, but a variety of ways combined with each other. Therefore, the development of a safe, intelligent anti-theft door house system has become the need of The Times.
Research on target defect detection algorithm based on improved YOLO-V7
Authors: Zhang Xingchen
Published: March 2024

The goal of this study is to increase target identification accuracy and defect detection performance using the enhanced YOLO-V7 target defect detection algorithm. You Only Look Once version 7 is referred to as YOLO-V7 and is a well-liked real-time target identification technique. To make high-quality goods, however, it is essential to find flaws, and the traditional YOLO-V7 has certain restrictions when it comes to addressing specific flaws. To get around these restrictions, we implemented a number of changes to YOLO-V7. The study's enhanced YOLO-V7 target defect detection algorithm may find use in the areas of industrial automation, quality assurance, and safety monitoring.
Review of Application of Model-free Reinforcement Learning in Intelligent Decision
Authors: Zhu Wei , Yu Sheng , Chen Haoran , Gong Zhenwen
Published: March 2024

With the continuous development of intelligent technologies, the traditional field of decision making is gradually evolving towards Intelligent Decision (ID), but with the increasing complexity of the environment, the explosive growth of data volume and the uncertainty of the decision making process, the difficulty of decision analysis is in-creasing. As a branch of Machine Learning, Reinforcement Learning (RL) uses Agent to train and generate rewards from the environment, ultimately resulting in intelligent models. Model-free Reinforcement Learning (MFRL) is a type of reinforcement learning in which an Agent does not need a predefined model of the environment, but inter-acts directly with the environment and learns autonomously to generate optimal strategies for model generation in complex environments. Model-free Reinforcement Learning techniques applied in the field of Intelligent Decision making can improve the efficiency and accuracy of decision making in complex environments. In this paper, we provide an overview of Model-free Reinforcement Learning in intelligent decision making and introduce the basic principles of reinforcement learning and its two branches (Model-based Reinforcement Learning and Model-free Reinforcement Learning). Various algorithms of Model-free Reinforcement Learning are analyzed and disassembled from two different functions (value-based function and policy-based function), and the characteristics, applicability range, and research results of each algorithm are derived. The typical applications of Model-free Reinforcement Learning in the field of intelligent decision making are classified and analyzed. Finally, a summary and outlook on the application of Model-free Reinforcement Learning in Intelligent Decision making are presented.
Structure Identification in Varying-Coefficient Partially Linear Accelerated Failure Time Models via the Group MCP
Authors: Fu Yue , Hu Kaifeng
Published: March 2024

The accelerated failure time (AFT) model is commonly used for the analysis of survival data in the presence of right censored due to the interpretability. In some practical cases, especially when some covariates are time-related, it is not realistic to assume the linear predictors in the AFT model. We propose a varying-coefficient partially linear AFT model for right censored data, allowing the nonlinear effects of covariates. To tackle challenges in estimation, we propose a penalized profile likelihood approach which utilizes a group minimax concave penalty to determine the nonlinear effects of covariates. Under the suitable conditions, we show that the proposed method can correctly select linear components and nonlinear components with high probability. Simulation results demonstrate the satisfactory performance of the proposed method in finite sample cases.
Research on Personalized Recommendation Algorithm of Internet Platform Goods Based on Knowledge Graph
Authors: Nie Na
Published: March 2024

Personalized recommendation method is an effective means to filter out the information users need from a large amount of information, which is rich in practical value. Personalized recommendation methods are maturing, and many e-commerce platforms have been using different forms of recommendation methods with great success. In the recommendation systems of large-scale e-commerce platforms, traditional recommendation algorithms represented by collaborative filtering are modeled only based on users' rating data, and sparse user-project interaction data and cold start are two inevitable problems. The introduction of knowledge graphs in recommendation systems can effectively solve these problems because of their rich knowledge content and powerful relationship processing capability. In this paper, we study the personalized recommendation algorithm based on knowledge graph as auxiliary information, and use the temporal information of user-item interaction in the graph to model users' interests over time at a finer granularity, taking into account the problem of high training time cost of the model due to frequent updates of the knowledge graph when recommending to users dynamically. The article proposes the Interactive Knowledge-Aware Attention Network Algorithmic Model for Recommendations (IKANAM) and conducts comparison experiments on public datasets. The results show that the IKANAM recommendation algorithm can effectively improve the effectiveness of personalized recommendation of products on Internet platforms.
Research on underground cable abnormal vibration identification technology based on multi-model fusion
Authors: Wang Congmin , Xia Wen , Yu Yidong , Zhang Hao , Wang Liang
Published: March 2024

With the full implementation of cable cabling in the urban core, thousands of kilometers of underground cables have placed new demands on cable operation management. In finding faults, fault identification by trial delivery of faulty lines section by section is inefficient and difficult, and there is no effective technical means to locate faults quickly. To address these problems, this paper constructs a multi-model fusion strategy of statistical learning + deep learning to achieve effective improvement of algorithm fitting effect and generalization ability, which can learn various types of features as comprehensively as possible, achieve differential extraction of distributed fiber optic timing features through differential feature construction techniques, and obtain spatio-temporal information of vibration events along the fiber optic cable for training to effectively solve the above problems and achieve more reliable and accurate prediction.
Research on smart mobility in public transportation and solutions for mobility
Authors: Chen Lun , Wang Yubo , Qi Gang , Lv Hao , Han Guoquan , Li Fang
Published: March 2024

As an important part of modern urban transportation system, smart mobility and public transportation are directly related to people's travel convenience, transportation efficiency and sustainable urban development. With the continuous progress of science and technology, smart mobility solutions play an increasingly important role in the field of smart travel and public transportation. As an important support of urban transportation system, public transportation is of great significance in reducing traffic congestion, improving air quality and saving energy. However, traditional public transportation systems often face problems such as irrational route design, improper scheduling, and untimely information transfer. Therefore, the introduction of smart mobility solutions, such as intelligent scheduling systems and passenger information services, will bring new improvement and development opportunities for public transportation. The research significance of this thesis is to conduct an in-depth study on smart mobility solutions in the field of smart mobility and public transportation, so as to explore how to promote the upgrading and improvement of the transportation system at the technical, managerial and policy levels. This paper will focus on the integration of smart mobility and public transportation, exploring the synergies between the two to achieve a more efficient, environmentally friendly and convenient way of traveling.
An iterative mass-to-drag ratio estimation method for ballistic targets
Authors: Li Zhanke , Jin Junfeng
Published: March 2024

Ballistic target tracking and identification is a key task for missile defense systems. A vital problem in target track and recognition is how to estimate the target mass-to-drag ratio fast and accurately. Based on the constraints of energy conservation, this paper proposes an iterative mass-to-drag ratio estimation method. This algorithm first estimates the position and velocity of the target using unscented Kalman filter, and then estimates the mass-to-drag ratio of the target by using energy conservation. By iterating, the final value is outputted. The simulation results show that this method can estimate the mass-to-drag ratio of the target at a high altitude, which provides a precise way for mass-to-drag ratio estimation.
Dynamics Simulation of Self-assembly of Disc-like Nanoparticles
Authors: Du Bo
Published: March 2024

Brownian dynamics of self-assembly of disklike nanoparticles is simulated with a generalized aspherical model using tabulated method of force field parameters. The present model uses the force field of all-atom objects using tabulated table parameters which inherently reflects the specification of shape and component of nanoparticle. We study the self-assembly of disc-like particles. The transition mechanism is analyzed and discussed.
An Improving Model on Contact Time of The Inertial Impact Switch
Authors: Liang Tong , Liu Xinrang , Wang Sen , Xu Pengzhao , Zhang Qi , Cui Shaokang
Published: March 2024

Inertial impact switch is a widely used inertial force recognition element in electromechanical trigger fuze of missiles, rockets and artillery shells. In this paper, the impact responses of inertial switch are investigated with abundant acceleration loads through the dynamics analysis. Based on the Machete hammer experiment, the accuracy of the dynamics model is verified with a very small error. The systematic dynamic analysis shows that the contact time of impact proceeding keeps continuously increasing with greater pulse width and acceleration load. On the other hand, the threshold of switch decreases alone with the pulse time. To improve the performance index of the inertial impact switch, a spherical structure model is proposed. Surprisingly, a significant improvement of the contact time is discovered comparing with the cylindrical structural model. The proposed new structure will provide important technical reference for the practical application of devices in fuze technology field.
Vibration characteristics analysis of double-layer vibration isolation platform
Authors: Long Jun , Wu Ji , Zhang Yuqiang
Published: March 2024

In order to control the vibration and noise level of mechanical equipment and realize the optimal design of double-layer vibration isolation platform. In this paper, the three-dimensional model and dynamic model of the double-layer vibration isolation platform are established. Based on the model, the modal analysis and harmonic response analysis are carried out, and the modal and dynamic characteristics of the double-layer vibration isolation platform are calculated. Through analysis, it is found that the vertical load of the mounting base is mainly generated by the vertical and longitudinal excitation, and the peak value appears at 17.8 Hz and 39.8 Hz respectively. The relationship between the dynamic response characteristics of the system and the system mode is obtained, and the vibration characteristics analysis of the double-layer vibration isolation platform is effectively completed.
Population Prediction of Finless Porpoise in the Yangtze River
Authors: Zan Zhaochen , Sun Hang , Hu Zhekai
Published: March 2024

Finless porpoise is the only freshwater mammal in the Yangtze River basin, which has suffered a plummet in population these years. Our team mainly used Improved Leslie Population Model and Improved Differential Equation Model to predict the change of its population. Firstly, we predicted the population of finless porpoises 20 years later in 5 ex-situ reserves and analyse the influence caused by initial sex ratio. We used Leslie Population Model and improved it according to the characteristics of finless porpoises. We divided finless porpoises of different ages into five groups and used Siler's Competition Risk Model and PSO-MLE Algorithm to analyse their mortality. Using the models, we found that only when the initial sex ratio was 1:1 did the reproduction rate reach its maximum, and the population of finless porpoises could reach 1,336 after 20 years in this case. When the sex ratio was imbalanced, the greater the difference from 1:1, the fewer porpoises there were after 20 years. Lastly, we predicted how long it will take for the Yangtze finless porpoise to become functionally extinct without ex-situ conservation. We used Improved Differential Equation Model. According to the prevailing view of the criteria for functional extinction, it could be predicted that without protection, the finless porpoise will become functionally extinct in around 2038, from which we can see the importance of ex-situ conservation in finless porpoises’ protection.
Improved Grey Wolf Optimization Algorithm Based on Arctangent Inertia Weight
Authors: Yun Zhiqian
Published: March 2024

Grey Wolf Optimization (GWO) has several advantages in tackling optimization issues, but it still has some drawbacks such as slow convergence rate, low accuracy, and lack of stability. To address above drawbacks, this paper proposed an arctangent inertia weight strategy based on the arctangent function, and used the strategy to improve the GWO algorithm, thus proposing the Improved Grey Wolf Optimization Algorithm Based on Arctangent Inertia Weight (AGWO). Six classical test functions were selected to compare the convergence performance of AGWO with the other five classical swarm intelligence algorithms. The results show that AGWO has higher level of stability and computational accuracy, as well as faster convergence rate compared with the other five classical swarm intelligence algorithms.
Artificial intelligence becomes a new kinetic energy to promote supercomputing
Authors: Mo Fei
Published: March 2024

Big data not only provides an increasingly rich set of training data for artificial intelligence, but also puts higher demands on the computing power of computer systems. In recent years, China's supercomputers have been at the forefront of the world, providing strong computing platform support for the large-scale application of big data and artificial intelligence. At present, high-performance computing platforms represented by supercomputers mostly use heterogeneous parallel computing systems composed of CPU+accelerators, with a large number of computing cores that can provide powerful computing power for artificial intelligence and big data applications.
Application Of Chinese Folk Music Elements in The Film from The Perspective of Music Diversification
Authors: Hou Nanyu
Published: March 2024

As a unique national characteristic of China, Chinese ethnic music carries the Chinese music culture for thousands of years, and is also a link for people to better understand China. With the development of the film industry, folk music has been gradually used in the film and presented in the public view, bringing more novel and attractive creative style to the film industry, and making contributions to the development and inheritance of the Chinese traditional music. This paper analyzes the existing relevant literature about the use of instrumental music, folk song and traditional opera in folk music in detail, discusses how to more perfectly integrate the Chinese traditional music in the future film industry, and how to be better accepted by the public. At the same time, under the background of music diversification, how can better carry forward and inherit the traditional music, so as to better express the unique Chinese music culture to the world. By combining traditional Chinese music with modern music, this form will be more novel, attract the public's attention, and be recognized by more people, and the film industry will be further developed.
Research On the Uneven Distribution of Educational Resources in China
Authors: Xie Yutong
Published: March 2024

Taking the current situation of education in China as the starting point, firstly this paper points out the healthy changes such as educational reform. It focuses on the analysis of the uneven distribution of educational resources in China's current education, which focuses on the uneven distribution of educational resources in the eastern and western regions and the uneven development of education in urban and rural area. Finally, the article concludes the imbalance of China's education development through the analysis of specific data such as the average salary of high school teachers and the overall national education expenditure. One of the most intuitive problems caused by the difference in educational resources is the huge difference in the illiteracy rate between the east and the west of China, with the illiteracy rate in most eastern provinces being less than 7%, while that in some western provinces is as high as 40%. It also puts forward suggestions for increasing investment in education expenditure, increasing teachers' salaries, and strengthening supervision.
Presidents and Student Success: Repositioning to a Student-Centered Institution
Authors:   Boise State University, Ruch Charles
Published: March 2024

Now reopened following the pandemic, each institution is in the process of assessing its impact and adjusting its institutional model to assure sustainability in the future. Returning totally to the ‘status quo ante’ is not a viable option as some repositioning is required. This study highlights three critical elements that inform this process from the perspective of the presidency. First, significant environmental trends and their impact are presented. Upon analysis, improved student success emerges as a critical driving force in repositioning. Second, an overview of successful institutional programs and initiatives that foster a student-centered institution are examined concluding with a construct for a repositing design. Finally, adjustment to presidential leadership strategies to facilitate an institutional repositioning plan are suggested.
Leading for What, Leading for Who? An International Comparative Analysis of University Presidents’ Leadership Amid COVID-19
Authors:   Seton Hall University, Castiello-Gutiérrez Santiago , McNaughtan Jon ,   Texas Tech University, Schiffecker Sarah ,   Texas Tech University, García Hugo ,   Texas Tech University
Published: March 2024

The COVID-19 pandemic presented a unique shared challenge for all HEIs leaders around the world. Besides balancing institutional tasks and ensuring the health and safety of the campus community, university presidents were challenged with promoting equity and showing empathy in their leadership. Framed by Henry Mintzberg’s (1973) theory on managerial roles, this study uses in-depth interviews of 14 university presidents in eight countries, to understand how they enacted different roles in leading their institutions through a global crisis. Despite differences among presidential leadership styles in diverse contexts, findings from the study show that leadership roles shifted from securing their institution’s financial and academic stability to securing the well-being of the people within and outside their organization in the face of crisis.
Exploring Non-Traditional Presidents in Higher Education
Authors:   Massachusetts College of Pharmacy and Health Science, Gorman Susan , Hood David ,   Johnson & Wales University, Reis Tania ,   Arkansas State University
Published: March 2024

Higher educational institutions (HIEDs) are complex organizations at a pivotal moment in history (Bourgeois, 2016; Guskin & Marcy, 2002; McGee, 2015). This qualitative study sought to understand the leadership traits of nontraditional college presidents, particularly those with business management backgrounds, to determine whether HIEDs could benefit from hiring them to help face challenges today. Results of the study were based on data collected from eight current college presidents collected April–August 2022. Three major findings and several subthemes emerged. Two major findings were expected: college presidents with business management experience are business driven and turnaround driven. A third major finding was unexpected: they are also mission driven. By offering this composite description of these individuals, HIEDs will understand the attributes and potential benefits of hiring college presidents with business management experience to meet their challenges.
Zagrożenia stwarzane podczas pożaru z udziałem środków ochrony roślin
Authors:   Centralny Instytut Ochrony Pracy – Państwowy Instytut Badawczy, Borucka Monika , Mizera Kamila , Przybysz Jan , Gajek Agnieszka
Published: March 2024

W przypadku pożaru z udziałem środków ochrony roślin należy się liczyć z możliwością emisji różnych niebezpiecznych substancji, które mogą powodować poważne skutki dla zdrowia ludzi i dla środowiska. Ocena toksyczności środowiska pożarowego jest więc jednym z najważniejszych aspektów, który wymaga dokładnej analizy. W artykule określono substancje, które mogą powstawać podczas termicznego rozkładu i spalania środków ochrony roślin, oraz wyznaczono parametry opisujące zachowanie się tych środków podczas spalania.
The Current Situation and Demand Drivers of Rural Home Elderly Care Services in the Context of Rural Revitalisation --- Taking Chengdu City as an Example
Authors: Xinyu Yang
Published: March 2024

Based on a sample of 487 rural elderly people from five counties (cities and districts) in Chengdu City, this paper investigates the main demand drivers affecting rural home-based elderly care service consumption willingness based on structural equation modelling. The results of the study show that (1) the overall satisfaction level of the demand for rural home-based elderly care services in Chengdu is 40%, with insufficient service relevance and low cost-effectiveness; at the same time, the service functions of the basic facilities for the elderly are not sufficiently fulfilled, and the resources are not effectively utilised. (2) The willingness to participate in home care services in rural Chengdu is mainly driven by spiritual and cultural, medical and health care and other demand factors. (3) Life care has a positive effect on rural elderly's participation in home care to a certain extent, but it is not significant. Safety and security indirectly affect rural elderly's willingness to age in place by influencing medical and health care. Therefore, the government, enterprises, communities, and families should work together in an orderly and coordinated manner to form a family-centred, community-based, and professional service-dependent socialised service for the rural elderly living at home, with the main content of solving daily life difficulties, and supplemented by spiritual and cultural services, in order to guard the rural elderly in their later years of happiness.
Female Executives and Digital Transformation in Enterprises
Authors: Qian Li,
Published: March 2024

In the digital era of the economy, digital transformation has become an important path for high-quality development of Corporates. This article is based on the Guotai An database and uses Chinese companies from 2010 to 2021 as research samples to empirically examine the impact of the proportion of female executives on corporate digital transformation. The study found that: (1) The proportion of female executives can enhance a company's level of digitalization. (2) This effect is mainly achieved through increasing the company's research and development intensity, thereby improving its digitalization level. (3) The role of female executives in promoting digitalization is more pronounced in non-state-owned, large companies with dispersed equity ownership.
Does Fintech Investment in Commercial Banks Improve Business Performance? -- Based on the Empirical Test of 42 Listed Commercial Banks in China from 2010 to 2022
Authors: Li Zixuan
Published: March 2024

This article aims to empirically examine the impact of internal fintech investment on operational performance using both a two-way fixed effects model and a mediation effect model. Take banks in China as research target. Through manually collected unbalanced panel data from 42 listed commercial banks spanning the years from 2010 to 2022. The key findings are as follows. First, investments in fintech significantly enhance the operational performance of banks. However, compared to state-owned banks and share-owned banks, the positive effect of fintech investments on the performance of urban commercial banks and rural commercial banks is more significant. Secondly, mediation tests on operational costs and business scope channels have revealed that fintech could achieve "cost reduction and efficiency enhancement" for urban and rural commercial banks by enhancing operational efficiency and expanding their business scope. Nonetheless, this effect is not significantly evident in state-owned banks and share-owned banks. Thirdly, further empirical testing on market share indicates that fintech investments significantly boost the market share of joint-stock commercial banks, corroborating the notion that fintech could augment the competitiveness of commercial banks. The insights garnered from this study contribute to understanding and augmenting existing research on the microeconomic consequences of the strategic fintech investment undertaken by commercial banks. Furthermore, it offers valuable references for future policies aimed at propelling the digital transformation of traditional banking industries.
Application analysis of financial data mining in investment decision
Authors: Zeng Rongying
Published: March 2024

Amidst the escalating complexities that define the contemporary financial market and the rapid proliferation of information, traditional methods of formulating investment decisions confront increasingly formidable challenges. In response to these intricate dynamics, the realm of financial data mining has emerged as a prominent avenue of scholarly investigation within the investment domain. This paper's fundamental objective is to conduct a comprehensive retrospective analysis of the diverse applications of financial data mining in the context of investment decision-making.This scholarly pursuit entails a meticulous synthesis of existing academic inquiries, concurrently proposing potential avenues for future advancements in this field. By undertaking this academic endeavor, the paper strives to make substantive contributions to the refinement of methodologies essential for adeptly navigating the multifaceted landscape of modern investments. As the financial landscape continues to evolve, this study aspires to offer insights that not only enhance the efficacy of investment strategies but also foster a deeper understanding of the intricate interplay between data mining techniques and decision-making processes. Through the synthesis of empirical findings and theoretical perspectives, this paper seeks to underscore the pertinence of leveraging data-driven approaches in investment practices, thereby promoting a more informed and sophisticated investment landscape.
Teknologi IPLEMENTASI SENSOR ULTRASONIK PADA ALAT PENGHITUNG OTOMATIS PULL UP DAN SHUTTLE RUN DENGAN METODE ARTIFICAL NEURAL NETWORK
Authors: Husaefi Ahmad Husaefi
Published: March 2024

Kesegaran Jasmani (Garjas) adalah kegiatan  yang harus dilakukan oleh Prajurit TNI atau dalam penerimaan sebagai calon prajurit TNI. Tes Garjas  salah satu bentuk tes yang berfungsi mengetahui tingkat kesegaran jasmani, sehinga prajurit TNI mampu menerima beban pelatihan, pembinaan, pelaksanaan  tugas pokok dan penunjang karir serta  sebagai syarat untuk usulan kenaikan pangkat  dan pelaksanakan pendidikan selanjutnya . Dalam pelaksanaan test Garjas dibagi dua bagian yakni Garjas  A dilanjut Garjas  B. Pada bagian Garjas  B terdapat pull up dan lari shuttle run. saat Garjas terdapat beberapa kendala diantaranya : kurangnya panitia Garjas, sering terjadi kesalahan  dan hasil yang diperoleh kurang efektif. Untuk mengatasi hal tersebut maka penulis merancang alat otomatis  yang bisa mendeteksi bahu dan dagu dengan menggunakan tiga sensor ultrasonik ping parallax, ketika dagu melewati tiang pull up yang sudah terpasang sensor maka alat akan menghitung secara otomatis dan ketika prajurit TNI melewati tiang start pada lari shuttle run maka stopwatch akan mulai menghitung dan stopwatch akan berhenti secara otomatis ketika prajurit TNI melewati tiang finish. Alat ini dapat mendeteksi secara otomatis dengan menampilkan  dilayar LCD ketika prajurit TNI melakukan kesalahan diantaranya : (menjatuhkan tiang, mendahului aba-aba “Ya” atau finish tidak menyilang, maka prajurit TNI harus mengulang. Alat ini dilengkapi dengan laser U85-2010132 yang berfungsi untuk mengukur  jarak secara otomatis antara dua tiang pada lari shuttle run dan nilai langsung ditampilkan di layar LCD sehingga peserta dapat melihat nilai secara transparan, dan hasil otomatis masuk ke komputer menggunakan jaringan internet.
Teknologi RANCANG BANGUN SISTEM MONITORING VOLUME CAIRAN INFUS PADA KORBAN BENCANA ALAM DI RUMAH SAKIT DARURAT TNI DENGAN METODE FUZZY LOGIC
Authors: Muksin  , Aguk Sridaryono
Published: March 2024

Penelitian ini bertujuan untuk mengembangkan sistem monitoring volume cairan infus pada korban bencana alam di Rumah Sakit Darurat TNI menggunakan Internet of Things (IoT) dan metode fuzzy logic. Dalam situasi bencana alam, pemantauan volume cairan infus pada korban menjadi penting untuk memastikan bahwa pasien menerima perawatan yang tepat dan tepat waktu. Namun, tugas tersebut sering kali menjadi sulit karena jumlah pasien yang tinggi dan jumlah tenaga medis yang terbatas. Dalam penelitian ini sistem monitoring dengan menggunakan perangkan Internet of Things (IoT) untuk mengumpulkan data volume infus secara real-time, serta sensor SCRT 5000 untuk membaca tetesan infus yang terhubung pada IoT akan mengirimkan data keserver pusat. Dalam pengolahan data tersebut diolah menggunakan metode Fuzzy Logic untuk mendapatkan informasi yang berguna kepada tim medis, serta memberikan peringatan dini kepada tim medis yang berjaga.  Pada pengujian alat memiliki tingkat error sebesar 0,05% - 0,1 % dan memiliki tingkat akurasi sebesar 97,8 %. Dengan demikian alat ini dapat diaplikasikan dapa rumah sakit darurat TNI.
Localisation of a Text-based App for Arabic Assistive Technology Users
Authors: Bright Rebecca , Gadgil Swapnil
Published: March 2024

Ensuring the successful adaptation of Predictable, a text-based Alternative and Augmentative Communication (AAC) app for users in the Gulf region, required not only text translation and integration of an Arabic keyboard. Key considerations encompass design and user experience, particularly regarding button selection and arrangement to accommodate right-to-left orientation and address cultural and linguistic nuances. The localisation of Predictable Arabic for AAC users in the Gulf region is further enhanced by leveraging an existing symbol set while incorporating new symbols optimised for the app.
Mada's effort in the localization of Assistive Technology and Digital Accessibility A Gateway to Sustainable Inclusivity
Authors: Othman Achraf
Published: March 2024

The role of technology in promoting inclusivity for individuals with disabilities is increasingly recognized in today's digital age. However, a critical aspect often overlooked is the intersection of localization, assistive technology, and digital accessibility in fostering a sustainable and inclusive digital environment. This paper aims to elucidate the importance of localization in assistive technology and how it is intrinsically linked to the broader goals of sustainability. An exemplary initiative in this realm is Mada's series of projects, including the Tawasol Symbols, Unified Arabic Braille, Jumla Sign Language, WCAG 2.1 Arabic Authorized Translation, and the Mada Glossary. These endeavors are geared towards localizing assistive technologies and solutions to cater to the specific needs of the State of Qatar and the Arab region.
Perception and Acceptability of Rice Cake Vendors on Community-Based Tourism (CBT) in Naujan, Oriental Mindoro
Authors: Magboo-Campo Catherine
Published: March 2024

The allure of a destination often lies in the unique and authentic connections with local communities. In line with the United Nations’ Sustainable Development Goal 11, which advocates for sustainable cities and communities, community-based tourism (CBT) has emerged as a promising approach. Recognizing the potential of CBT, this study delves into the perceptions and acceptance of this concept among community members and rice cake vendors in Naujan, Oriental Mindoro, Philippines. Rice cake, bibingka in Filipino language, holds deeper significance for these vendors. It embodies their cultural heritage passed down through generations. By embracing CBT, they can transform their passion into a sustainable livelihood, not only for themselves but for their entire community and the whole tourism industry of the province. Adopting a quantitative approach, this study employs a CBT framework with a supplementing focus on community capital. Through mapping and observation of the research locale, community capital includes built, human, and political. The findings also reveal a positive correlation between the community’s perception and acceptance of CBT. This encouraging outcome signifies that the community has met the first consideration of embracing CBT-they have their eyes wide open. It is therefore recommended that consistent and inclusive programs from various stakeholders be in place to enhance the existing knowledge of the CBT concept towards strong community organization building. Future researchers may assess tourists’ experiences and satisfaction with the current offering of rice cake as a CBT product for planners’ and policymakers’ prospect program implementation.
BƯỚC ĐẦU NGHIÊN CỨU HIỆU QUẢ SỚM CỦA PHƯƠNG PHÁP ĐIỀU TRỊ UNG THƯ BIỂU MÔ TẾ BÀO GAN TIẾN TRIỂN TẠI CHỖ BẰNG TRUYỀN LIPIODOL KẾT HỢP CISPLATIN VÀ 5FU LIỀU THẤP QUA CỔNG TRUYỀN HÓA CHẤT ĐỘNG MẠCH GAN
Authors: Ngô Lê Lâm , Phạm Minh Thông , Nguyễn Duy Anh , Nguyễn Thị Hiểu
Published: March 2024

Mục tiêu: Đánh giá kết quả sớm của phương pháp đặt cổng truyền hóa chất động mạch gan bằng phác đồ Lipiodol kết hợp với Cisplatin và 5 FU trên bệnh nhân UTBMTBG giai đoạn tiến triển tại chỗ.

Đối tượng và phương pháp nghiên cứu: Chúng tôi thực hiện can thiệp lâm sàng tiến cứu, có theo dõi dọc trên đối tượng là 10 BN UTBMTBG giai đoạn tiến triển. Mỗi bệnh nhân được đặt cổng truyền hoá chất dưới da phục vụ truyền hoá chất động mạch gan. Phác đồ điều trị bao gồm Lipiodol, Cisplastin và 5FU. Sau 1 tháng điều trị, các bệnh nhân được thăm khám, chụp CLVT và phân loại đáp ứng thành đáp ứng hoàn toàn, đáp ứng một phần, bệnh ổn định và bệnh tiến triển theo tiêu chuẩn mRECIST.

Kết quả: 6 BN (60%) có đáp ứng sớm sau điều trị, trong đó 1 BN (10%) có đáp ứng hoàn toàn và 5BN (50%) đáp ứng một phần. Một bệnh nhân có bệnh tiến triển sau điều trị, và 2 bệnh nhân bệnh ổn định. Kích thước phần ngấm thuốc của khối u giảm từ 102±41mm xuống còn 83±53mm, có ý nghĩa thống kê với p <0.05. Ngoài ra, HKTMC thoái triển trên 2 BN, và chức năng gan được cải thiện trên 2 BN. Có 3 BN xuất hiện biến chứng, bao gồm nhiễm trùng, tụ máu, tắc và vỡ cổng truyền.

Kết luận: Truyền hoá chất động mạch gan với phác đồ Lipiodol kết hợp Cisplastin và 5FU đạt tỷ lệ đáp ứng sớm cao, có thể gây thoái triển HKTMC và cải thiện chức năng gan
NHẬN XÉT MỐI LIÊN QUAN GIỮA ĐẶC ĐIỂM HÌNH ẢNH FDG PET/CT VỚI TÌNH TRẠNG ĐỘT BIẾN GEN EGFR Ở BỆNH NHÂN UNG THƯ PHỔI KHÔNG TẾ BÀO NHỎ GIAI ĐOẠN IV
Authors: Bùi Văn Đức , Phạm Văn Thái , Bùi Tiến Công
Published: March 2024

Mục tiêu nghiên cứu: Nhận xét mối liên quan giữa đặc điểm hình ảnh FDG PET/CT với tình trạng đột biến gen EGFR ở bệnh nhân ung thư phổi không tế bào nhỏ giai đoạn IV.

Đối tượng và phương pháp nghiên cứu: 108 bệnh nhân ung thư biểu mô không tế bào nhỏ của phổi giai đoạn IV được chụp FDG PET/CT, xét nghiệm EGFR trước điều trị từ 01/2018 đến 11/2020.

Kết quả: Độ tuổi trung bình 62,1±9,2 (37 - 83), tỷ lệ nam (61,1%) nữ (38,9%), tiền sử hút thuốc lá (39,8%), không hút thuốc lá( 60,2%), giai đoạn IVa (31,5%) và giai đoạn IVb (68,5%) Tỉ lệ đột biến gen EGFR và tỷ lệ không có đột biến tương ứng 52,8% và 47,2% trong đó đột biến exon 19 và exon 21 là cao nhất với tỷ lệ là 31,5% và 18,5%. 48,1% bệnh nhân điều trị hoá trị 35,2% bệnh nhân điều trị đích. Giới, tiền sử hút thuốc, pSUVmax, kích thước u là bốn yếu tố độc lập dự báo đột biến gen EGFR với OR lần lượt là 0,19 (KTC 95%:0,08-0,45; p<0,001); 0,347 (KTC 95%: 0,156-0,770; p=0,009) 0,805 (KTC 95%:0,722-0,899; p<0,001) và 0,782 (KTC 95%:0,645–0,947; p=0,012).

Kết luận: FDG PET/CT có giá trị dự đoán mức độ đột biến EGFR ở bệnh nhân ung thư biểu mô không tế bào nhỏ của phổi.