Search all articles

+ Advanced search
Search articles within:
3427 articles

The Mechanism and Empirical Study of Social Media Narrative-Driven Youth Consumption

Kaiyuan Li
This paper aims to reveal the internal mechanisms through which social media narratives drive youth consumption. Grounded in narrative communication theory, narrative transportation theory, the theory of planned behavior, and social influence theory, we construct an integrated model of “social media...

The Role of the ICT Sector in Fulfilling Children’s Rights and Preventing Financial Misuse for Child Sexual Exploitation

Keumala Dewi
The Information and Communication Technology (ICT) sector holds a critical responsibility in safeguarding children’s rights and preventing the sexual exploitation of children via financial institutions. This study explores the essential roles and actions ICT companies can implement to address this issue....
Proceedings Article

FDLDA: An Fast Direct LDA Algorithm For Face Recognition

Zhibo Guo, Kejun Lin, Yunyang Yan
Feature extraction is one of the hot topics in face recognition. However, many face extraction methods will suffer from the "small sample size" problem, such as Linear Discriminant Analysis (LDA). Direct Linear Discriminant Analysis (DLDA) is an effective method to address this problem. But conventional...

Exploration of Factors in Preparing Building Information Model (BIM) Technology for Large-scale Development Projects via a Focus Group Study

Yilin Chen, Yilin Yin
Building Information Model (BIM) is increasingly employed construction project and obtains their support on large scale planning and development projects. Despite its booming development, there is a lack of research on how to prepare BIM technology activities. In order to explore the factors of preparing...

The Prevalence and Antecedents of Nationalism Conspiracy Theories During Covid-19 in China

Ming Mu
The deadly COVID-19 has been spreading across the globe, causing large-scale deaths, disruptions, recession, and distress. While most governments and citizens have been doing their best to tackle the challenges set by the pandemic, the difficult time also incubated disruptive thoughts, such as pandemic-related...

Ecotourism and Women Enterpreuner in Buffer Zone of Karimunjawa National Park

Budi Setiawan
Karimunjawa National Park has the potential to become a major tourism attraction in Central Java. There are numerous potentials for tourism business development in the buffer zone community of Karimunjawa Marine National Park. The point of this study is to examine the obstacles to women entrepreneurship...

The Role of University Peer Psychological Support in Promoting Integrated Mental Health Education Across Educational Levels

Ting Chen, Yijun Liu, Jinglin Zhu, Yingna Duan
Integrated cross-level mental health education is an emerging focus, with a coherent theoretical framework key to its continuity and effectiveness. Primary/secondary schools face resource and personnel gaps, while universities have robust peer support networks. Extending university models to lower stages...

The Influence of Art Therapy Intervention on Executive Function Development and Emotional Security in Children with Autism Spectrum Disorder

Qiuzi Zhu
This study investigates the impact of art therapy interventions on executive function (EF) and emotional security in children with autism spectrum disorder (ASD). This investigation reveals that clay modeling, rhythmic music therapy, and parent - child collaborative creative endeavors, significantly...

Constructing a Statistical System for Curriculum Teaching Evaluation Oriented to Teacher-Student Recognition Relationship via the Pressure-State-Response Framework

Bing Liu
The teacher-student recognition relationship is an inherent requirement of high-quality education development and a key carrier to achieve the unity of affective recognition, rights recognition, and social recognition. At present, college curriculum teaching evaluation is generally featured by emphasizing...
Proceedings Article

A practical inspiration on used product recycling in Chinese context: recovery-responsibility trading right strategy

Shuiye Niu, Fangchao Xu
Faced with the international environmental pressure and transaction obstacles, Chinese government has enacted and implemented laws which contain the requirement of EPR (Extended Producer Responsibility) in manufacturing industry. However, the implementation effect is not ideal. Firstly, this paper explores...
Proceedings Article

Quantitative characteristics of traps in AlGaN/GaN MIS-HEMT via transient capacitance measurement

Jie Lin, Bin Dong, Ning Wang, Zongdai Liu, Lingli Jiang, Kai Cheng, Hongyu Yu
The electrical property degradation of AlGaN/GaN MIS-HEMT, including degradation of output characteristics, a higher ON-resistance and a threshold voltage negative shift (~1.8V), is correlated with near-interface trap behaviours in SiN/AlGaN. These traps are quantitatively characterized using the transient...
Proceedings Article

Urban Mobility Mining and Its Facility POI Proportion Analysis based on Mobile Phone Data

Rong Xie, Chao Gong
It is very important to analyze urban mobility patterns and facility distribution for urban planning and management etc. Using mobile phone data, original base station data are made statistics and analysis. We improve AHC hierarchical clustering algorithm to discover community structure of urban base...
Proceedings Article

IoT-Based Temperature and Humidity Real-Time Monitoring System for Beekeeping Using LoRa Technology

Muhammad Irfan Mohd Pikri, Siti Azlida Ibrahim, Nur Mimi Syaheeda Mohmad Faisal, Mohd Zulkifli Mustafa, Sarina Mansor
In stingless beekeeping, monitoring the temperature and humidity in the beehive is crucial to increase the honey yield and ensure the survival of the bee colony. However, the conventional method of checking the beehive is laborious and time-consuming. This paper proposes an IoT-based real-time remote...

The Research on the “Three-Dimensional Dual-Track One-Line” Blended Teaching Model for College English under the OBE Concept

Yiqing Lin
As globalization increasingly impacts higher education, university English teaching faces the challenge of enhancing students’ language proficiency and overall competence. This study proposes the OBE-based “Three-Dimensional Dual-Track One-Line” model to explore its effectiveness in improving university...

Comprehensive Evaluation of Process Reengineering Effect of Power Grid Functional Departments Empowered by AI

Weixuan Meng, Zaichi Li, Xuesong Wang
AI reconstruction of grid business processes optimizes stock human resource allocation, yet existing evaluation lacks multi-dimensional quantitative frameworks combining intelligent efficiency and talent transformation. This paper constructs a five-dimensional index system via two-round Delphi screening,...
Proceedings Article

Piezocision as a Novel Approach for Accelerating Orthodontic Treatment (Literature Review)

Yufridika, Nazruddin, Nurhayati Harahap
According to the American Association of Orthodontists (AAO) the length of comprehensive orthodontic treatment can range from approximately 12 to 36 months, depending on treatment options and individual characteristics. One of the biggest challenges an adult orthodontic patient is the duration spent...

Understanding Behavioral Intention to Use Digital Tax Platforms: Evidence from Regional Public Service Users

Muchammad Romadhon, Maat Pono
This research seeks to explore the factors influencing the behavior of digital tax platform adoption among regional public service users in Indonesia, particularly in South Sulawesi Province. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), the study includes four core constructs...

Using a Focus Group to Enhance Course Evaluation Inclusion and Feedback

B. A. Anders
To help instructors gain a better understanding of how students viewed and experienced their course, the novel use of a scenario-enhanced focus group was utilized at the end of a university course. This case study sought to identify an additional mechanism to use to directly obtain students’ feedback...
Proceedings Article

Yoga Pose Detection and Correction Using MediaPipe Landmarks and a Deep Multi-Layer Perceptron Classifier

D. Santhadevi, Srinivas Yerigera, S. Aaditya, Boddu Ramana Kumar Reddy
Yoga is widely used for improving flexibility, strength, balance, and mental well-being; however, incorrect posture execution can reduce efficacy and increase injury risk. A lightweight, interpretable pose recognition and feedback system is presented that combines MediaPipe Pose landmark extraction with...

Thought on Cultivating Sports College Students’ Socialist Core Values

WeiFang He
Strengthened the education of sports colleges students’ socialist core value, must give an adequate consideration of specialities in their major, to highlight the pertinence and timeliness of foster strategy, to return living world, via enhance the modernization of content and form , popularization of...
Proceedings Article

Differentiation of cirrhosis from normal liver based on textural features via T1WI computer-aided diagnosis with a genetic algorithm

Dong-Mei Guo, Hui Liu, Tian-Shuang Qiu, Xiang-Bo Lin
A computer-aided diagnosis (CAD) system for classification of liver cirrhosis from MRI is presented. The system consists of feature extraction and selection, classification, and classifier optimization modules. In general, biomedical imaging is based on textural features, visualized via grey level co-occurrence...
Proceedings Article

Performance Analysis of Routing for Wireless Sensor Network

Binghua Hao, Dan Chang, Zengping Zhang, Hailong Ji
Wireless Sensor Network (WSN) consists of static or mobile sensor nodes by self-configuring. The nodes get in touch with each other via a special wireless that is utilized to send information between the source and destination nodes. Each sensor node is very cheap and has limited resources such as limited...

Youth Responses Towards Internet Memes of Covid-19 Protocols

Mundi Rahayu
Internet memes as digital items with particular purposes and circulated via internet by many platforms has played important roles in online communication. In the context of Covid-19 pandemic, online communication is important channels that people use to communicate each other. In mitigating the pandemic,...
Proceedings Article

Sustained Calcium Ion Release from Gelatin-Monetite Composite Sponges for Hemostatic Applications

Azizah Intan Pangesty, M. Naufal Misbah, M. Akif Tholibul Huda, Sunarso, Abdul Halim Abdullah, Myrna Nurlatifah Zakaria
Uncontrolled bleeding (hemorrhage) remains a critical concern in trauma and surgical settings, often leading to multi-organ failure and mortality. Gelatin-based sponges are widely used as hemostatic agents due to their excellent biocompatibility and fluid absorption capabilities. However, their functionality...
Proceedings Article

A Machine Learning Approach to Predicting Depression in University Students in Bangladesh: Enhancing Mental Health Assessment

MD. Alamin, Md Tasnin Tanvir, Zahinul Haque Chowdhury, Md Abdullah, Tahsan Mahmood Tariq, Ahnaf Tahmid Jamee, Md Pervez Hossain, Abdul Kader, MD. Tahmeed Kowsher Hameem
This study investigates the application of machine learning (ML) algorithms in predicting depression severity among university students in Bangladesh using the Patient Health Questionnaire-9 (PHQ-9) dataset. A total of 577 students participated in the study, with data collected via an online survey that...
Proceedings Article

Two-Dimensional Barcode Image Super-Resolution Reconstruction Via Sparse Representation

Gaosheng Yang, Liu Ningzhong, Yuan Gao
To solve the problem of super-resolution reconstruction in the two-dimensional barcode image, this paper applies the technique of super-resolution reconstruction based on sparse representation into this area. Given the characteristics of the two-dimensional barcode image, this paper presents a new approach...
Proceedings Article

Fuzzy Comprehensive Evaluation of the Ship Manning

Qian Yu, Hanqing Ji, Yong Ma
The ship manning is related to generous factors. That quantifying the factors and building the quantitative comprehensive model of safe levels of the ship manning via the fuzzy comprehensive evaluation can provide positive evaluation standards, which can be referenced for shipping companies and maritime...
Proceedings Article

Multiple Instance Learning with Deep Instance Selection for Video-based Face Recognition

Ning Liu
In many real-world video-based face recognition scenarios, videos are usually captured under unconstrained conditions. It is very challenging because of low face resolutions, varying head pose and complex lighting. To address this issue, we present a new method by formulating the video-based face recognition...
Journal: eFood
Research Article

Characterizations of a Food Decapeptide Chelating with Zn(II)

Weiwei Fan, Zhenyu Wang, Zhishen Mu, Ming Du, Lianzhou Jiang, Hesham R. EI-Seedi, Cong Wang
Pages: 326 - 331
Walnut proteins and peptides have been reported to have great zinc-carrying activity. In this study, the decapeptide EPNGLLLPQY (WP-10) derived from walnut protein has been prepared to figure out zinc binding mechanisms and structure–activity relationships. The space-conformation of this peptide has...

The Economic Impact of Desertification Control A Case Study of Sustainable Land Management Practices

Yuhe Zhu, Qinhan Liu, Chao Feng, Yuzhe Jing, Shiyao Wu, Tongzhou Chenhan
To combat desertification, numerous control initiatives have been implemented. However, it is crucial to assess their effectiveness in mitigating the environmental and socio-economic impacts. This study evaluates such efforts in eastern Iran using socio-economic indicators like migration, education,...

URL_trigger: Real time solution for Detection Malicious URL using Deep Learning

Omar Lamrabti, Abdellatif MezriOui, Abdelhamid Belmekki
Evolution of technology has many drawbacks as well as benefits, requiring a great investment to ensure security where the human component is the core of this equation. To that end, malicious URLs are among tactics that target users unawareness, unable to distinguish between legitimate and malicious URLs,...

Research on Intelligent Narrative and Consumer Trust Construction in Short-Video E-Commerce

Yudong Chang
Facing content homogenization and rising consumer ad tolerance in short-video e-commerce, Generative AI (AIGC) is shifting from a tool to a narrative paradigm reconstructor. This study explores how AIGC-driven intelligent narration affects consumer trust. Grounded in Human–AI Collaboration Theory and...

Enhanced Drug Toxicity Prediction via Reverse Transfer Learning and Graph-Based Visual Verification

Govind Bhatter, Animesh Shukla, Pratham Popatiya, Pratik Shah, Jignesh Patel
Predicting molecular toxicity and verifying drug identity in real-world scenarios is a fundamental challenge in ensuring pharmaceutical safety. This paper presents a combined framework addressing both issues through a two-stage pipeline process. First, we validate a reverse transfer learning module,...
Proceedings Article

Solving Highly-dimensional Fractional Oscillators via an Efficient Scheme Based on Adams and Newmark-β Algorithms

Yuxiang Chen, Yanmao Chen, Qixian Liu
In this paper, we employed an efficient numerical scheme by combining Adams and Newmark-β algorithms to solve highly-dimensional nonlinear oscillators containing fractional derivatives (FDs). The method solves the original equations directly by incorporating the Adams and Newmark-β algorithms to handle...
Proceedings Article

Supercomputers Keeping People Warm in the Winter

Mario Romero, Hanna Hasselqvist, Gert Svensson
We present the design and evaluation of the heat recovery system for KTH’s Lindgren, Stockholm’s fastest supercomputer, a Cray XE6. Lindgren came into service in 2010 and has since been primarily used for complex numeric simulations of fluid mechanics and computational chemistry and biology. The heat...
Proceedings Article

A Universal Method for Intelligent Judgement

Mingzhe Li, Hongli Zhang, Lin Ye, Chuanwang Ma
In this paper, a universal method is proposed for intelligent judgement, which relies on feature vectors representing each case to enable intelligent judgement via machine learning algorithms. The process to extract feature vectors consists of three main steps: modeling the case, building feature words...
Proceedings Article

Quantum-Chemical Analysis of Hetacillin Molecule via DFT and AB INITIO Methods

V.A. Babkin, A.V. Ignatov, M.V. Reshetnikova, D.S. Andreev, A.N. Liberovskaya, V.S. Belousova, A.I. Rakhimov, E.S. Titova
For the first time quantum-chemical calculation of β-lactam antibiotic hetacillin molecule via DFT and AB INITIO methods with the optimization of geometry of all parameters by standard gradient method was performed. An optimized geometric and electronic structure of this compound (optimized bond lengths,...

Development of E-Book for the Basics of Observing the Sky Object

Wiraporn Maithon, Sommkorn Chaiwarakorn
This electronic book (e-book) involves the horizontal coordinate system explanation and the basis of the sky object observation. We analyzed the astronomy cause description of the undergraduate level in many Universities and developed this e-book for the undergraduate students. The performance content...

Dimension Increase and Splitting for Poincaré-Dulac Normal Forms

Giuseppe Gaeta, Sebastian Walcher
Pages: 327 - 342
Integration of nonlinear dynamical systems is usually seen as associated to a symmetry reduction, e.g. via momentum map. In Lax integrable systems, as pointed out by Kazhdan, Kostant and Sternberg in discussing the Calogero system, one proceeds in the opposite way, enlarging the nonlinear system to a...

Analysis of Twitter Users Sentiment of the Phenomenon of Using Online Loan Services

Nofy Afifah Anggrahini
Online loans (pinjol) are common in Indonesian lives in recent years. Easy requirements and only need to be done via a smartphone does not mean that the loan is free from flaws and dangers. Today’s social media can be a reflection of people’s thoughts on a phenomenon or event and knowing public sentiment...

How Social Media are Successfully Transforming the Marketing of Local Street Food to Better Serve the Constantly-Connected Digital Consumer

Vita Briliana, Wasisto Ruswidiono, Tita Deitiana
This paper aimed to deepen our understanding of the effect of the mobile-communication-technology usefulness, authenticity, historical nostalgia, and attitudes of Millennials towards food vlogger online reviews, in the context of purchase decisions involving local street food. YouTube has become the...

Volume Preserving Multidimensional Integrable Systems and Nambu­Poisson Geometry

Partha Guha
Pages: 325 - 341
In this paper we study generalized classes of volume preserving multidimensional intgrable systems via Nambu­Poisson mechanics. These integrable systems belong to the same class of dispersionless KP type equation. Hence they bear a close resemblance to the self dual Einstein equation. All these dispersionless...
Proceedings Article

A* Path Planning Algorithm Optimization via Unscented Kalman Filter in Dynamic Environments

Jiazhe Wang
The fast advancement of robot technology in recent years has drawn a lot of attention to path planning algorithms in dynamic situations. The classic A* path planning algorithm faces numerous hurdles because of its limited adaptation in dynamic contexts. These challenges include poor real-time performance,...

Effects of Vocabulary Knowledge and Translating Competence on the Comprehensive English Ability

Shangchun Zeng, Ying Shen
The purpose of this thesis is to reveal the characteristics of participants’ vocabulary size and their translating competence as well as the correlation between their vocabulary size and their comprehensive English ability, the correlation between their translating competence and comprehensive English...

Thematic Learning: Are Primary School Teachers Ready to Integrate Mathematical Connections in Learning in Schools?

Mohammad Archi Maulyda, Awal Nur Kholifatur Rosyidah, Vivi Rachmatul Hidayati, Iva Nurmawanti, U Umar
Mathematical connection is an important aspect of learning mathematics. Especially for elementary school teachers, where since the 2013 curriculum was launched low-grade elementary school teachers (Class I, II, and III) are obliged to implement a thematic learning system. In thematic learning, many mathematical...

Sustainability and Consumer Behavior: Enhancing Trust and Purchase Decisions in Eco-Friendly Products

Catur Widayati, Fadhila Dhia Malihah, Dekrita Putri Puspa Wijaya, Hasliza Abdul Halim
The central goal of this study is to examine the different factors that influence purchasing choices for baby plastic products featuring BPA-free labels by analyzing the roles played by green knowledge, green attitude, and green trust. Additionally, this inquiry looks into the capacity of green trust...
Proceedings Article

Deciphering the Blockchain Paradigm: Comprehensive Analysis and Future Prospects in Diverse Sectors

Hongrui Pan
Blockchain technology, introduced by Satoshi Nakamoto in 2008, has undergone significant evolution from its origins in decentralized transaction documentation. Known for its transparency, robustness, and decentralization, blockchain now permeates various sectors, including finance, healthcare, supply...

Exploring Primary Demands of Chinese Network Literature Audience: Uses and Gratifications Perspective

Pei Cao
In recent years, network literature has developed at an amazing speed, bringing to an increasing number of network literature audiences. These phenomena were particularly common in China. From the perspective of the uses and gratifications theory, this paper postulated that “relaxing yourself to enjoy...
Proceedings Article

Intelligent Brain Tumor Diagnosis from MRI Images via Transfer Learning and Advance Feature Optimization Techniques

Jastej Singh, Mandeep Kaur, Jobanpreet Singh
The accurate and timely detection of brain tumors is vital in enhancing the survival rate of patients suffering from these diseases. Manual analysis of brain Magnetic Resonance Imaging (MRI) data is tedious and may result in bias, particularly in resource-constrained environments. The current paper introduces...

Research on Compensation and Settlement for Land-lost Residents of “Village inside City” and Survival Condition--Take transformation of Shenghua Village, Jiang’an Development Zone, Wuhan City as an example

Yanling Xu, Mingfu Xie
Through questionnaire survey, this paper mainly carried out survey and analysis on selection of compensation and settlement way, change of living condition, degree of income satisfaction, community culture construction, living habit, sense of security, and sense of belonging for transformation of Shenghua...