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Under the background of the “dual-carbon” strategy, it is of great practical significance to explore the influence mechanism of corporate ESG performance on green technology innovation. Based on the data of Chinese A-share listed companies from 2013 to 2023, this paper constructs a double fixed-effects...

The pervasive adoption of Automated Decision Making (ADM) systems within India’s rapidly expanding credit ecosystem presents a complex regulatory challenge. While these algorithms accelerate financial inclusion and operational efficiency for lenders, their inherent opacity risks perpetuating systemic...

MAG (an Italian acronym which stands for Musical Genetic Algorithms) is an electronic art piece in which a multifaceted software attempts to “translate” musical expression into a corresponding static or animated graphical expressions. The mechanism at the base of such “translation” consists in a quite...

Many diabetic patients eventually develop foot ulcers are at risk for further infection and subsequent amputation if they are not treated promptly. Hence, this study is focused on identifying wild type strain bacteria and standard ATCC bacte-ria using e-nose which are PEN3 and Cyranose320. Data collected...

License plate detection is a key part in vehicle license plate recognition system. In this paper, we present a hybrid method for license plate detection from natural scene images for the all-day traffic surveillance environment. The proposed method includes two stages: rough detection and accurate detection....

With the rapid development of China’s economy, the need for overseas energy has been increasing year by year. Under the background of “One Belt And One Road”, China’s investment in the oil development of central Asian countries has been increasing, the export of petroleum engineering project materials...

The present study is bibliometric research that investigates the trend of research, publication dynamics, and the theme development of Green Technology in Education by analyzing the Scopus database records during the period of 2014 to 2024. The review shall determine high-productivity authors, institutions,...

The aim of this study was to test the impact of the use of microlearning in educating healthcare professionals. A mobile learning application was developed consisting of 20 flip cards with questions and answers. The learning program was related to a vital paragraph regulating healthcare professionals...

The optimal management of hemodynamic disorders among critically ill patients requires an accurate assessment of hemodynamic status. Global End Diastolic Index (GEDI) is taken for a more reliable indicator of preload in critically ill patients than central venous pressure and doctors tend to arrange...

Background The partograph is an instrument for assessing the progress of labor. Monitoring labor with a partograph can avoid three delays that can cause maternal and infant death because it can avoid neglected labor, establish pathological conditions as early as possible and then make...

As Low Earth Orbit satellites play a vital role in the 6G space network, the risk caused by space debris has become increasingly significant. This paper presents a comprehensive risk prediction model for LEO satellites to enhance the safety and reliability of satellite communication systems. We introduce...

The average growth of motor vehicles in Jakarta reaches 3.6% per year triggers congestion, especially when intersections lack proper design and signal settings. The Fatmawati intersection is linking primary arterials and secondary collectors vital for business mobility, but often experiences delays due...

To fit for the development of the personal needs for light-emitting diode (LED) lighting, a wireless LED dimming controller based on WiFi module is presented in this paper. Low-cost 8-bit STC MCU is applied as the main controller,WiFi is used as the wireless communication module, which receives the control...

The emergence of app-based ride-hailing platforms such as motorbike taxi (online ojek) services, has changed the commuters’ behaviour and mobility pattern in Jakarta. The highly-anticipated Jakarta Mass Rapid Transit (Jakarta MRT), which was launched and operated in early 2019, has gained popularity...

The fierce competition for product quality in the telecommunications industry makes every company compete to provide products that are acceptable and liked by the public, including PT Telkom Indonesia Tbk with one of its superior products, Indihome. To find out the advantages of a product or service,...

According to the data from the press conference of China Energy Administration in 2023, in the first half of the year, the domestic energy supply security capacity has steadily improved, the transition to green and low-carbon energy has been accelerated, and the country’s energy supply and demand are...

The development of New Liberal Arts, against the backdrop of globalization and intelligentization, is promoting interdisciplinary integration in higher education. The “Belt and Road” Initiative and the internationalization of the new energy vehicle industry call for the urgent need to address the problems...

As user needs have changed in recent years, previous evaluation methods are no longer applicable to today’s user environment. This study aims to construct a user experience evaluation system for online shopping APPs and improve the efficiency of evaluation. Therefore, this study firstly reviews the current...

This research was conducted from April 2023 to December 2023 in Buntut Village, Bali, Malan Island District, Katingan Regency. The ingredients used are seeds of chili varieties Kencana and locally. Liquid Organic Fertilizer, PGPR, Cow Manure, Urea, SP36, NPK Phonska, and pesticides for pest and disease...

The achievement of 99% energy access in Bangladesh by 2025 is a national milestone, but 1-2 million people in remote places still rely on kerosene, resulting in respiratory health hazards and CO2 emissions. This study investigates assessing the socio-economic impact and sustainability of microfinance-enabled...

Convolutional Neural Networks (CNN) are biologically-inspired variants of Multiple Layer Perceptron (MLPs). Meanwhile, support vector machines (SVMs) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. In some research...

This study was conducted to highlight the Arab students at UTM and their preferences for English vocabulary mobile apps (EVMA) and to identify the reasons for choosing the selected app as the best preferences of Arab students in the university. Among hundreds of EVMA in Google Play store, a list of the...

Guided by the emotional design method, this paper makes design analysis from the instinct level, behavior level, and reflection level of emotional design to design a vehicle intelligent robot pet on the onboard central control table. This product can enrich the shortcomings of existing research, optimizes...

Based on the daily price index samples of copper, aluminum, lead, zinc, and nickel in China from 2019 to 2023, this study employs the Backward Sup Augmented Dickey-Fuller test, R-Vine Copula model, Granger causality test, and vector autoregression model to investigate the statistical characteristics...

With the rapid development of ESG concept and the government’s emphasis on sustainable development, real estate enterprises, as an important pillar industry of the national economy, their ESG practices are crucial to enhance their competitiveness, shape their social image and achieve sustainable development....

Mobile micro-application has the advantages of small volume, rapid response to business demand changes, rapid update iteration, installation-free, and high security. With the widespread use of mobile applications, the types of services that need to be handled in a mobile application increase rapidly,...

Due to the implicit characteristics of learning disabilities (LDs), the diagnosis of students with learning disabilities has long been a difficult issue. Artificial intelligence techniques like artificial neural network (ANN) and support vector machine (SVM) have been applied to the LD diagnosis problem...

Anti-dumping and anti-subsidy investigations are the most important means to maintain fair competition and market order in international trade. In recent years, the global competition in the electric vehicle industry has been fierce, and China has taken a leading position in the supply chain of the electric...

Stunting remains a major issue in Kecapi Jepara Village, driven by factors such as unbalanced nutrition, low birth weight, low maternal education, and inadequate prevention services. To ad-dress this, the SiD1A application has been introduced to enhance the competence of PKK (Family Welfare Empowerment)...

This article discusses the importance of documentation on endangered boatbuilding traditions in different areas of Indonesia through motion picture and other forms. The boatbuilding tradition has become part of daily life for people in many places, such as South Sulawesi and the North Coast of Java....

Electromagnetic wave of electrical spark is a potential cause to eletrical equipment failure. This research focused on identificating and comparative analyzing the different types of electromagnetic waveform generated by eletrical equipment failure based on SVM. After analyzing and extracting the features...

Since December 18, 2023, Harbin tourism has rapidly gained popularity, becoming a phenomenon of online “tourism going viral.” This paper delves into the field of public opinion communication and meme theory, and deeply analyzes how social media public opinion communication has led to the phenomenon of...

People are using customer satisfaction scores as consideration to set new goals and grow their business. In customers’ sight, a satisfaction score can be seen as a reasonable rating that shows how good the business quality is. They prefer businesses with high ratings over others. Customer satisfaction...

The family has an important role for adolescents who experience of catcalling verbal sexual harassment. The aim of this study was to measure the relationship between family function and coping strategies among adolescents who experience of catcalling verbal sexual harassment. This study used a Cross...

Scene classification has been a hot topic in the field of computer vision. Under the premise of image segmentation, this paper proposes a novel scene classification algorithm, combining pixel location, color characteristics, Gabor features, and local binary features (LBP) to form a covariance descriptor,...

Sentiment classification on weibo has recently attracted wide attention in research community. Most previous works are focused on weibo comments regarding movies or products. Our study, in contrast, is aimed at gusty incidents on weibo. Comments of the incidents are considered either positive or negative...

The Province of Bangka Belitung Islands, historically dependent on tin mining, is facing environmental and economic challenges in the post-mining era. This study employs a descriptive-analytical approach using secondary data from the Central Bureau of Statistics (BPS) and related government agencies...

The physics e-module integrating the Alquran with REACT steps is believed to be able to improve the quality of student learning. E-Modules have steps that can guide students to learn independently in understanding learning material. This underlies the importance of developing a REACT-based Alquran integration...

The writing is intended to know if a flipped classroom design improves reading comprehension scores among students in class XI of SMA Negeri 7 Prabumulih in the year 2022/2023. This study is quasi-experimental research. There are 216 students in population and 68 students in sample, they are XIA as controlled...

Sustainable Development Goals (SDGs) is a global sustainable development agenda that contains 17 sustainable development goals. This program was adopted by the United Nations (UN) for the first time in 2015 and was the continuation of the Millennium Development Goals (MDG) program. The SDGs exist to...

The growing instability of financial markets is making it harder to allocate capital efficiently among key asset types such as equities and bonds. Traditional static asset allocation methods struggle to adapt to dynamic market conditions, leading to growing interest in dynamic allocation strategies in...

To overcome the standard AFSA's slow convergence speed and limited optimizing accuracy problem, an improved AFSA is presented in this paper. For this improved algorithm, parameters dynamic mechanism is introduced to improve the accuracy. Besides, iterative adaptive mechanism and local algorithm were...

The Learning Management System (LMS) is a common occurrence in most educational institutions. This system is a software application helping the educator in administration, facilitation, and tracking of course content to the learner. Educators have always been interested in understanding student interaction...

With respect to the training program of software engineering specialty, this paper puts forward the comprehensive training platform of Chinese character dictation competition based on Android, and clarifies the purpose and main contents of the comprehensive training platform. Based on the hardware and...

College English is a very important course in many universities in China. In order to further improve the teaching effect of College English, a new M-learning environment which is based on multiple Apps has been constructed. This article firstly analyzes the necessity of constructing a new M-learning...

Background: Interleukin-6 (IL-6) was considered to be with the severity and mortality in COVID-19 patients, which implies a potential therapeutic target for treatment. We aimed to evaluate the safety and initial efficacy of Tocilizumab treatment for COVID-19 patients. Methods: In the retrospective study,...

This study aims to assess the reliability and validity of the Politeness Behavior Scale (PBC) and derive the most suitable model from it. The researcher created the PBC scale. The researchers used a descriptive quantitative data analysis method, the PBC scale adaption process. Students from the three...

This study aims to investigate the instability of the G7 stock market by forecasting value at risk (VaR) as a measure of risk with a two-regime MS-GARCH family model approach. Daily data of composite stock returns from January 2010 to September 2023 from each G7 country are studied. Of the seven stocks...

This study analyzes the impact of Environmental, Social, and Governance (ESG) factors on the financial, operational, and market value performance of materials sector companies in the Asia Pacific region during 2019-2023. Using a quantitative approach with panel data from 128 purposively selected firms,...

This study examined the green dependency paradox: renewable energy (RE) investments in hydrocarbon-dependent economies may initially constrain rather than catalyze economic diversification. We focused on Egypt, where fossil fuel dependence still exceeds 93%, and applied a Nonlinear Autoregressive Distributed...