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Initial Assessment of Hydrocarbon Potential in the Alor Basin Using Integrated Hydrographic Data
No full textIdentification of hydrocarbons is a preliminary step in oil and gas exploration. By using hydro-acoustic data, this study aims to assess the hydrocarbon potential of the Alor Basin. Several data were acquired during the Jala Citra III Expedition in the Flores Sea in 2023, including Multibeam Echosounder and Marine Magnetometer. Bathymetric processing indicates that the Alor Basin reaches a maximum depth of 4,777.68 meters. The seabed is predominantly composed of clay-rich sediments, inferred to result from the deposition of fine-grained marine biogenic material or volcanic ash. This sediment analysis indicates depositional environments that may influence hydrocarbon generation and accumulation processes. Marine magnetometer data revealed residual magnetic anomalies ranging from –1,031.022 nT to 361.214 nT, with negative anomalies corresponding to intense tectonic activity. This interpretation is supported by fault structures analysis along the seismic profiles from the Marine Geological Research and Development Centre (P3GL), which may act as structural traps or migration pathways for hydrocarbons. Integrated bathymetric, magnetic, and seismic interpretations explain the basin’s geodynamic evolution and its correlation to hydrocarbon system formation. The fault patterns, seabed morphology, and magnetic anomalies all indicate active tectonic processes, suggesting that the Alor Basin holds significant potential for hydrocarbon accumulation and future exploration
Study of the effect of the microfluidic effect on reducing the reaction times
No full textThis study investigated the possibility of generating cavitation effects in microfluidic reactors at sharp pressure drops (from 10 to 1 atm.) without the use of ultrasonic sources. The calculations revealed that with the parameters characteristic of microfluidic systems (channel diameter of 1 mm, flow rate of 100 ml/h), an energy dissipation rate of approximately 3.225 W/cm² was achieved. This value exceeds the known cavitation threshold for aqueous solutions and is within the interval characteristic of cavitation induced by high-frequency sources. A decrease in the diameter of the channel contributes to an increase in specific power, thereby increasing the probability of cavitation. The dependencies of the kinetics of the first-order reaction on the intensity of cavitation were determined. At α = 0.8 (cavitation amplification coefficient selected from the literature), the velocity constant increases from 0.010 to 0.0358 s–1, which leads to a significant reduction in the time required to achieve a given degree of transformation
Grid Modernization in the Era of Inverter-Based Resources: Stability, Protection, and Control Perspectives
No full textThe fast penetration of inverter interface energy resources (IIERs), such as solar PV, wind power and battery ES, is changing fundamentally the structure of modern power systems. Although these devices allow for decarbonization and power system flexibility, they lead to important issues in terms of reduced inertia, weakening of the systems’ strength, changing fault characteristics, or interactions control problems. Conventional grid topologies and protection/control are designed for synchronous machine systems and more ill-suited to this new mode of operation. This paper investigates grid modernization in the context of stability, protection, and control of IBR-plagued grids. It provides a systematic integration of emerging challenges for the full range of time scales, reports recent control and protection schemes as well as technology developments, and discusses validation and deployment aspects. This paper emphasizes the importance of coordinated grid-forming control, adaptive protection, and planning by the entity responsible for system operation in guaranteeing reliable resilient secure operation of power systems
How Do Negative Online Comments Deter Potential Fans? A Study on the Impact of Anti-Fan Behaviour on Celebrity Image and Feasible Strategies
No full textThe image of celebrities is highly dependent on online public opinion. However, some haters are easily driven by personal emotions, herd mentality and other factors to spread malicious comments and other irrational behaviours on the Internet, causing the spread of negative public opinion. A passer-by on the Internet refers to an ordinary Internet user who has no direct interest or preconceived position in a specific online community. Online bad reviews can not only affect a celebrity’s image, public relations and fan base, but also affect passers-by’s perception or evaluation of the celebrity, thereby hindering them from turning into actual followers. Combining the theory of the spiral of silence and the third-person effect, this paper explores how the remarks of haters shape public perception. Using Roy Wang’s social media feedback as a case study, this paper systematically analyses the impact of online bad reviews on the image of ordinary people and celebrities. In response to this issue, several implications have been proposed, and it is expected that these strategies will reduce the impact of bad reviews on the public relations image of celebrities and lower the probability of passers-by being misled by a large number of bad reviews
Analysis of Load Profile in the presence of EVs & DERs
No full textThis Paper examines the effects of electric vehicles (EVs) and distributed energy resources (DERs) on distribution networks. The impact of these integrations on load profiles is the main topic of the study. To maximize the load profile, the study focuses on scaling DERs and EV charging/discharging techniques. To measure their individual and combined effects on load variability, system characteristics such as load profile, EV charging pattern. The suggested method for enhancing the load profile and lowering network losses with the irregular electricity produced from DERs and electric vehicle integration has been validated through the analysis of a mathematical model with system & operational restrictions. The analysis’s findings demonstrate that effective EV integration and DER capacity enhance the load profile, enhance voltage control at different distribution network nodes, and significantly lower network losses
Second Language Learners’ Trust in AI Feedback: An Empirical Study Based on the Current Application of AI Technology in Second Language Learning
No full textThis study investigated the level of trust in artificial intelligence feedback among second language learners and its influencing factors, involving 50 undergraduate students majoring in Linguistics at a university in China. it was found that learners generally trust AI feedback, with the degree of trust influenced by language learning experience and the quality of AI tools. Learners with higher levels of trust exhibited greater frequency in using AI tools, more active learning engagement, and lower levels of anxiety. The study suggested enhancing learner trust by improving AI tool quality and developing personalised feedback mechanisms. These findings offer valuable insights for the development of AI educational tools and provide practical recommendations for second language teaching practice
Parents’ Psychological Control over Learning Autonomy of High School Students
No full textThis study focuses on how parental psychological control would affect the learning autonomy of high school students. An online questionnaire survey lasting from August 20, 2025, to August 31, 2025, was carried out among public high schools and private international high schools in Shenzhen, China. Participants are 182 students from grades 9 to 12(89 boys; 93 girls; mean age=16.5; SD=1.08). The credible Parental Psychological Control Scale and Learning Autonomy Scale were employed. Results predicted a positive correlation between parental psychological control and learning autonomy of high school students (r=0.234, p<0.01). The regression analysis showed that the independent variable of parental psychological control does have a slight effect on high school students’ learning autonomy as the dependent variable (B=0.107, t=3.229, p=0.001<0.01, r2=0.055). Despite the fact that parental psychological control is perceived or proven to be an intrusive parenting style that might impair children’s autonomy, this study provided a new insight, which, to some extent, could be possibly attributed to Chinese family culture that emphasizes relatedness rather than individualism, the educational background of participants’ parents, and the special characteristics of high school student
The Influence of the Relationship Between Head Teachers and Students on Intrinsic Learning Motivation of Primary School Students
No full textIn the early stage of students’ primary school education, it is an important period for cultivating their intrinsic learning motivation. For students in school, the quality of the teacher-student relationship during this learning process plays a crucial role, as it affects the intrinsic motivation of students’ learning and academic development. This study, through a literature analysis approach, systematically examined the existing domestic and foreign literature and deeply explored the interaction between teachers and students and its impact on students’ learning motivation. It also analyzed the differences in different grades and subject backgrounds. The research results show that the head teacher’s emotional support, communication methods, and classroom management skills greatly enhance students’ intrinsic learning motivation. Moreover, the study also found that there are differences in the characteristics of the relationship between the head teacher and students, and that students’ learning motivation varies in different grades and subject areas. Lower-grade students rely more on the emotional support and external incentives provided by their teachers, while higher-grade students show a stronger inclination towards autonomous learning. This study provides a theoretical basis and practical guidance for optimizing the relationship between head teachers and students
Reviewing the Influence of AI-related Technologies on the Intrinsic Motivation of Students to Learn English as a Second Language
No full textIn the age when AI is prevalent in the world, teachers will use AI tools more frequently to teach students in educational contexts. With the assistance of AI, students tend to show more interest in learning English. This paper is to review the influences of AI-related technologies on the intrinsic motivation of students to learn English as a second language, drawing upon two perspectives, including the positive influences and negative ones. In terms of the benefits of AI technologies on student intrinsic motivation in learning English, it can be concluded from the reviewed research papers that AI can foster student engagement and teacher-student interactions, enhance personalized learning and student autonomy, as well as reduce learner anxiety. From the negative side, this paper also finds from the articles that AI could also cause over-reliance on technology as well as a lack of human connection, which may hinder student motivation in learning English. Lastly, this paper points out the future research directions, including the situations where students lack intrinsic motivations to learn English when using AI tools, as well as how to solve the adverse effects caused by AI tools
Strategies and Challenges of Game-based Teaching in Geometry for Junior High School Mathematics Classrooms
No full textThis article focuses on the teaching of geometry in junior high school mathematics classrooms, aiming to address the issue that students find it difficult to actively participate in traditional geometry teaching and thoroughly understand the knowledge. Firstly, based on the advocacy of gamified teaching in the “Compulsory Education Mathematics Curriculum Standards (2022 Edition)” and a review of domestic and international research, this paper summarizes the current research and development status of gamification in geometry teaching. The review finds that current research lacks systematic integration of geometric gamification strategies. Then, the core issues are analyzed, with the main problems focusing on the insufficient compatibility between games and knowledge points, the predicament of classroom management, and the lack of gamified teaching literacy among teachers. Based on the above problems, optimization countermeasures are proposed, namely, constructing a teaching design that precisely matches “knowledge points - games”, optimizing the classroom organization model of hierarchical division of labor, and establishing a systematic teacher training system to form a systematic strategy, providing strategic support and teacher cultivation paths for the game-based teaching of junior high school geometry