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Proceedings Article

Technological Advances to Achieve Sustainable Agriculture and Global Food Security

L. Narasimha Rao, P. Aravind Swamy, Srinivasa Rao Narra, S. Arun Kumar
While technological changes in the 21st century have taken over as promoting factors for sustainable agriculture to global food security, it’s high time the skilled youth joined in to effectively utilise such innovations in modern agriculture and food systems. While the country enjoys a major demographic...

Creative Economy in a Pandemic: The Effectiveness of Moderation of Digital Transformation in Culinary SMEs in Langsa Aceh

Nasrul Kahfi Lubis, Muhammad Rizqi Zati, Dhian Rosalina
This study examines the effectiveness of digital transformation of SMEs engaged in the culinary sector. Culinary tourism in Langsa City continues to grow, with a wide market ranging from students, and households, to industry causing many culinary destinations such as traditional and modern cafes to get...

Does Warrant Strategy Along with IPO Provide Better Performance?

Yuli Soesetio, Dyah Arini Rudiningtyas, Retno Nur Habibah
An Initial Public Offering (IPO) can provide limited benefits for companies in the short to medium term. This study aims to evaluate the use of the Package IPO (PIPO) and Shares-only IPO (SIPO) strategy that accompanies the IPO process of companies listed on the Indonesia Stock Exchange (IDX). The sample...

A Study on the Uneven Development of Regional Integration in the China’s Yangtze River Delta

Rongquan Yang, Yintong Zhang
With the support and transformation of the domestic and foreign economic dual circulation government work in the new era, accelerating the regional integration construction of the Yangtze River Delta is the same A key link. On the basis of various exchanges and cooperation between the government, enterprises...
Proceedings Article

Recent Advances in Ternary Blends of Nanocomposite and Their Impact on the Mechanical and Thermal Properties: A Review

Utkarsh A. Patil, Pravin R. Kubade
The numerous studies were performed on the polymer blends and their nano-composite, the sub-inclusion of nano-particles in the binary polymer blend modifies thermal and mechanical properties of the system. At the other hand, very few literatures are available in view of the ternary blends of polymers...
Proceedings Article

Meme-Integrated Deep Learning: A Multimodal Classification Fusion Framework to Fuse Meme Culture into Deep Learning

Xuxiang Deng, Yifan Liu, Qihao Yan
Memes are an important medium of expression in online communication, yet traditional methods such as collaborative filtering (CF) have limitations in processing multimodal data, especially when analyzing memes has limitations in processing large-scale datasets and are sensitive to data noise and sparsity....
Proceedings Article

A Direction for AI Education: An Investigation of Digital Skills among Undergraduate Students in Malaysia

Sian Hoon Teoh, Sharipah Ruzaina Syed Aris, Fazyudi Ahmad Nadzri, Sayang Mohd Deni, Siti Fairuz Dalim
The adoption of AI has heightened the significance of digital skills in education. Thus, by observing the level of digital skills and factors associated with their development, this study seeks to identify strategies for equipping undergraduate students with digital skills. Specifically, this study aims...

Cradle-to-Gate Life Cycle Assessment of Pineapple Leaf Fibres

An alternative to non-biodegradable PPE base materials

Putri Rizky Salsabila, Altair Boonraksa, Innamia Indriani, Sabrina Ilma Sakina, Benno Rahardyan
As the COVID-19 pandemic emerged in Indonesia, there had been a steep increase in the need for personal protective equipment (PPE). This phenomenon left a directly proportional yield in solid waste production by 30-50%, generating a total of 1,662.75 tons as of October 2020. However, the capacity of...
Proceedings Article

Bayesian MCMC Approach in Prognostic Modelling of Cardiovascular Disease in Malaysia: A Convergence Diagnostic

Nurliyana Juhan, Yong Zulina Zubairi, Ahmad Syadi Mahmood Zuhdi, Zarina Mohd Khalid
Most studies that considered the Bayesian Markov Chain Monte Carlo (MCMC) approach in prognostic modelling of cardiovascular disease were only focused on the application of the Bayesian approach in variable selection, model, and prior distribution choice. Yet rarely of these studies have explored the...
Proceedings Article

Smart EV Navigation and Data Collection System for Tree Based Data Modeling Using IoT

Wirarama Wedashwara, Heri Wijayanto, Andy Hidayat Jatmika, I Wayan Agus Arimbawa
Machine learning for autonomous can be done by recording the displacement and condition of the vehicle through manual control by humans and modeling the data. The research proposes designing a data collection system for tree-based data modeling on Internet of Things (IoT) based autonomous electrical...
Proceedings Article

Optimization of Spline Slip Surfaces Using Metaheuristic Search in LEM

Terence Ma, Brigid Cami, Sina Javankhoshdel, Brent Corkum, Thamer Yacoub
The search for the critical slip surface on a slope is an optimization problem whereby the factor of safety is minimized over a set of parameters which define the shape of the slip surface. In limit equilibrium slope stability analysis, traditional methods for searching for the critical slip surface...

Analysis of Macroeconomic Indicators That Affect Electric Vehicle Stock Market

Jiazhong Wang
The performance of an individual stock is exposed to both systematic and unsystematic risks based on economic indicators. Such indicators may directly or indirectly have drastic effects on the performance of an individual stock or the overall market. The stock market is an integral part of the financial...
Proceedings Article

Optimizing Ischemic Stroke Diagnosis: Enhanced Performance with MobileNetV2 in Automated Image Segmentation

K. Devi Priya, Boddu Jahnavi, Patibandla Savithri
Early identification of ischemic stroke leads to a speedy recovery from severe repercussions and irreversible brain damage. Stroke affects people differently, with varying experiences during the event and variable paths to recovery afterward. Radiologists utilize CT (Computed Tomography) scans to diagnose...
Proceedings Article

Enhancing Portfolio Efficiency with Mean-Shift Clustering

Ni Made Sri Kumala Dewi Oka, Komang Dharmawan, I G. N. Lanang Wijaya Kusuma
Mean-Shift Clustering, an unsupervised learning algorithm, facilitates the grouping of objects sharing similar characteristics without assuming a predefined number of clusters during the calculation. In the context of portfolio formation, investors seek groups of stocks across diverse sectors to construct...
Proceedings Article

Topic Mining of Economic and Trade Cooperation between Guangxi Province and ASEAN Countries based on LDA Model

Chunlan Li, Chongjian Song
The LDA Model is a topic model commonly used in natural language processing. It mines the topic in three steps. First, calculates the topics of each document in the document set in the form of probability distribution. Second, extracts the actual topics after analyzing those documents in the same subject....

Government Digital Payment and Marketplace (Digipay) in Indonesia: Problems and Solutions

Ima Putri Bruney, Lely Indah Mindarti, Endah Setyowati
The Ministry of Finance through the Directorate General of Treasury enacted a Money Supply (UP) policy through the Digital Payment and Marketplace (Digipay) mechanism on the work unit which aims to provide an efficient and effective payment system for government goods/ services expenditures, encourage...
Proceedings Article

The Association Between Reproductive Health Knowledge and Marital Readiness in Adolescents

Dinni Randayani, Veronica Veronica, Legina Anggraeni, Moudy Emma Unaria Djami
Statistics reveal that 8.16% of Indonesian adolescents marry between ages 10–15, while 25.08% marry between 16–18 years. Marriage at these early ages poses significant reproductive health risks. According to the National Population and Family Planning Agency (BKKBN), Indonesian adolescents’ limited understanding...
Proceedings Article

Face Recognition Using ELM with ResNet50

Robins Anand, Tripti Goel
Facial recognition is a complex problem that has received a great deal of attention due to its numerous applications, including security, surveillance, and identification. In this study, we provide a novel method that combines the strength of the Extreme Learning Machine (ELM) algorithm with the ResNet50...
Proceedings Article

An Empirical Study on the Influence of Superior Developmental Feedback on the Emotional Labor Strategies of Bank Grassroots Employees: A Moderated Mediation Model of SPSS

Qi Li, Zhe Chen
With the advent of the digital transformation and the service economy era, the emotional labor of bank grassroots employees is a key factor affecting the quality of bank services and reputation. How to increase the deep acting of grassroots employees and reduce surface acting has become a real problem...
Proceedings Article

Effectiveness of the Effriction Method in Increasing Range of Motion (ROM) in Shoulder Injuries

Arif Setiawan
The aim of the research was to test the level of effectiveness of the effriction method in helping the recovery process increase the range of motion (ROM) of the shoulder joint in athletes or people who enjoy sports who have suffered sports injuries. The high percentage of shoulder injury cases was caused...

Students’ Voices in Academic Writing Instruction: Artificial Intelligence (AI) Literacy and Challenges in a Cross-Cultural Setting of Indonesia and Timor-Leste

Ngasbun Egar, Siti Musarokah, Alfiah Alfiah, Marcos Taec Abi
The rapid integration of Artificial Intelligence (AI) into higher education has significantly influenced academic writing instruction. This study explores students’ voices regarding AI literacy and the challenges of using AI-based writing tools in academic writing within a cross-cultural context of Indonesia...

The Abolishment of Sexual Harassment in Higher Education for Green Dot for Colleges

Beni Kurnia Illahi, Annisa Salsabila, Ayu Anggraini
Based on direct complaints to the National Commission on Violence against Women from 2015 to 2020, the educational environment in Indonesia was not free from sexual harassment. This fact contradicted the right of everyone to be free from torture, which is normalized in Article 28G paragraph (2) of the...
Proceedings Article

Extraction of Bank Cheque Fields Based on Faster R-CNN

Hakim A. Abdo, Ahmed Abdu, Ramesh Manza, Shobha Bawiskar
The cheque field extraction is a critical step in automating bank cheque processing and is the first step in implementing a cheque recognition system. Many approaches for extracting the bank cheques components have been suggested. However, the complexity of the backdrop, the design variety of bank cheques,...

Opportunities and Challenges of Women Entrepreneurs Engaged in Biodegradable Products Business at Vellore District of Tamil Nadu State

K. Kalaivani, T. Bharathi
Role of women in the society has been seeing a paradigm shift ever since women became self-aware. More and more women today are moving out of their comfort zone and trying their hands at things no one ever measured they were capable of many women are stepping out of their homes into workplaces. “Women...

Tourist Satisfaction: The Influence of Tourist Attractions, Tourist Facilities, and Social Media Marketing

Rafiqi Dzil Fakari, Wheny Khristianto, Djoko Poernomo, Suhartono
Tourist destination managers must be prepared to face changes in tourist behavior caused by the rapid development of information technology in the Industrial Revolution 4.0 era. This study uses a quantitative approach that aims to investigate the relationship between tourist attractions, tourist facilities,...

Relationship Between Pre-Service Mathematics Teachers’ Attitudes Towards Statistics and Their Statistical Literacy

Sena Uludağ, Rıdvan Ezentaş, Çiğdem Arslan
The aim of this study is to examine the relation between the statistical literacy skills of pre-service mathematics teachers and their attitudes towards statistics. In the study, the relation between pre-service teachers’ statistical literacy levels and their gender, grade level, the courses they have...

K-Pop among Female University Students in Lima: A Study on Dance Learning and Cultural Influence through Music Videos

Sobrado Vela, Ada Luz, Vite Leon, Victor Omar, Poggi Parodi, Christiana
K-pop, known for its idols and iconic groups, has gained prominence worldwide, especially in Asia and Europe. This article focuses on the use of music videos as a tool for dance learning, specifically in Lima, Peru, to understand the perceptions and impact on the learning of culture among young K-Pop...
Proceedings Article

Molecular approach of Vulnerable Short-Toed (Centropus rectunguis)

Jessey Angat, Farida Zuraina Md Yusof
Using touchdown Polymerase Chain Reaction (PCR), this work intends to build a molecular sexing approach in 30 endangered Short-toed Coucals. This approach, which relied primarily on a non-destructive wing feather sample, allowed for the rapid and accurate determination of intron length in CHD1-Z (400 bp)...
Proceedings Article

The Best Combination of Gas Sensor and Machine Learning Classification Algorithm in Detecting Mango (Mangifera indica L.) Quality

Joko Sumarsono, Murad, Ida Ayu Widhiantari, Syahroni Hidayat, Ulfah Mediaty Arief, Tatyantoro Andrasto
Mango is a climacteric fruit with high transpiration activity when it reaches physiological maturity due to ethylene gas production. As a result, the quality of mangoes varies from day to day. Mango quality can be determined non-destructively by using gas sensors and machine learning to detect the gas...
Proceedings Article

Stone Free Rate and Complications in Kidney Stone Patients Undergoing Open Nephrolithotomy and Percutaneous Nephrolithotomy (PCNL) Methods

Exsa Hadibrata S, Suharmanto Suharmanto, Siska Lania, Deviani Utami
The operations for treating kidney stones include open nephrolithotomy, Extracorporeal Shock Wave Lithotripsy (ESWL), Percutaneous Nephrolithotomy (PCNL), ureteroscopy, and laparoscopic surgery. The aim of this study was to analyzing the differences in stone free rates and complications in kidney stone...

Corporate Governance Mechanisms and Integrity Disclosure: A Conceptual Model with Organizational Culture as a Moderator

Farah Amalin Mohd Noor, Roshima Said, Syahiza Arsad, Nur Aima Shafie
Corporate integrity and transparency are fundamental to fostering trust among stakeholders, yet many firms face challenges in ensuring adequate integrity-related information disclosure. Weak corporate governance mechanisms, particularly ineffective audit committees and ownership structures, contribute...

Beyond Bureaucracy: Applying Dynamic Governance for Citizen-Centric Service Delivery in Magelang City

Anton Purwadi, Natta Sanjaya, Sigid Widyantoro, Raytanza Iswadinata
Public sector reform increasingly acknowledges the necessity to progress beyond conventional bureaucratic frameworks towards more flexible, citizen-oriented governance. This research investigates the implementation of dynamic governance principles within a local public service initiative called “Si Bulan”...

Beyond the Black Box: A Triptych Framework for Ethical and Accountable AI in Human Capital Management

Gatot Kustyadji, Bambang Tutuko, Alfina Alfina, Afian Hanafi, Tony Febrianto, Rosswanti Putri Adi Agustini
This paper addresses the critical governance gap emerging at the intersection of Human Capital Management (HCM) and Artificial Intelligence (AI). While AI offers unprecedented efficiencies in talent management, its rapid, unregulated deployment has created a crisis of ethics and accountability, characterized...

Dialectical Hermeneutics in the Participatory Artwork “Salting the Sea” by Irwan Ahmett and Tita Salina

Fransisca Retno Rahardjo, I Made Gede Arimbawa
Irwan Ahmett and Tita Salina are a pair of contemporary artists from the Visual Communication Design department at the Jakarta Institute of Arts. They are known for their innovative and bold works. Their creations often explore social and political themes using experimental visual strategies. Their creativity...
Proceedings Article

Early Detection and Recommendation of Autism Spectrum Disorder Using Reinforcement Learning

R. Raju, S. Sennila, S. Priyadharshini, T. Monisha
The reliable early diagnosis of Autism Spectrum Disorder (ASD), a complex neurodevelopmental condition, continues to present significant difficulties for healthcare and educational systems. This research performs a methodical review of contemporary machine learning (ML) techniques applied to ASD identification....

Speech-Language Pathology and Audiology Students’ Expectations and Experiences of Academic and Clinical Experiences of Online Learning

Khomotjo Kgare, Claudia Maepane, Gomolemo Mabusela, Modiladi Mphahlele, Risilingwane Rinae
In the wake of COVID-19, higher education institutions deviated towards online learning for undergraduate courses to decrease the spread of the virus and ensure that learning continues. This deviation also affected the Speech-Language Pathology and Audiology (SLPA) undergraduate degrees. This paper determines...

Green Practices that Influence Booking Decisions for Eco-conscious Travelers in Delhi NCR

Sandilyan Ramanujam Pagaldiviti, Aravind Kr. Rai
The entire world is looking at various measures to improve the environment and such initiatives come under “Green Practices”. The travel industry and hotels also are trying to adopt green and environmentally friendly practices. Travelers also have started to look at various practices and also choose...

Smart Infrastructure Monitoring: Parametric and Comparative Analysis of Bridge Deflection Using Vibrating Wire Strain Gauges

Karishma Gavand, Karthik Nagarajan, Raju Narwade
In order to accurately assess deflection under vehicular loading, this study examines a smart bridge health-monitoring framework that combines vibrating wire strain gauges (VWSGs), finite element simulation, and artificial intelligence-based prediction. The main obstacles to bridge monitoring—scour,...

Effects Of Innovation On Trade: New Empirical Evidence From Vietnam

Nguyen Si Minh Hoang, Pham Minh Trang, Do Minh Hoang, Van-Chung Dong
Research purpose: The purpose of this paper aims to empirically explore the impact of innovation on the trade performance of Vietnamese enterprises. Research motivation: Innovation is usually considered as a key factor to support trade performance of firms, especially...

Examining Digital Animation’s Influence on Maternal Learning through Modified Uses and Gratification Theory Lens

Nene Tei-Narh, Harry Barton Essel, Akosua Tachie-Menson
In response to the growing need for more engaging and effective antenatal education strategies, this study assessed the instructional impact of a digital interactive animation intervention compared to traditional verbal tuition among expectant mothers at the Greater Accra Regional Hospital (GARH), Ghana....

Digital Economy in Emerging Fintech Payments: Factors Influencing Behavioral Intentions of Generation X to Use Electronic Wallet

Latifah Anggraeni, Yuhana Astuti
Indonesia has seen significant digital economy growth. It is leading to the accessibility of FinTech, which enhances financial activities and improves living standards through digital payments. The government’s strategy of inclusive finance aims to improve older adults’ accessibility to financial services,...

Technologization of the Teachers Coping behavior formation as management and staff training means

Tatiana Gudina, Valentina Ponikarova, Irina Bukina
An inclusive approach to teaching people with disabilities and/or disabilities is now considered one of the main strategic paradigms of modern education. In this regard, the question arises about the importance of professional training of pedagogical personnel implementing the inclusive practice, considering...

Attracting and Pushing Factors in International Migration Exchange Between Russia and the Post-Soviet Countries Within the Framework of the Concept of Sustainable Development

Marina Zhukova, Lidiya Manukovskaya, Larisa Kharyanova, Yulia Lobanova
The authors consider the importance of migration in ensuring the country’s sustainable development. The influence of migration on the average annual population of the Russian Federation is studied. The article deals with the migration exchange between Russia and the post-Soviet countries: Armenia, Kazakhstan,...
Conference Abstract

P3.16 CARDIO ANKLE VASCULAR INDEX (CAVI) IS AN INDEPENDENT PREDICTOR OF CARDIOVASCULAR EVENTS IN 1000 PATIENTS

Satoh Yuta, Nagayama Daiji, Imamura Haruki, Ban Noriko, Kawana Hidetoshi, Nagumo Ayako, Yamaguchi Takashi, Ohira Masahiro, Saiki Atsuto, Shirai Kohji, Tatsuno Ichiro
Pages: 130 - 131
Objects: Recently, a novel arterial stiffness parameter called cardio-ankle vascular index (CAVI) has been developed. This study was conducted in order to elucidate the predictive value of CAVI for future cardiovascular events in 1000 persons. Subjects and methods: A total of 1,000 outpatients (513...
Conference Abstract

P171 CARDIOVASCULAR RISK EVALUATION IN BEHCET’S PATIENTS – THE ROLE OF CHRONIC INFLAMMATION IN ARTERIAL STIFFNESS

Maria Guimarães, Glória Alves, Cristina Cunha, Marta Cunha
Pages: 130 - 132
Introduction: Behcet’s disease (BD) is a chronic inflammatory syndrome with systemic manifestations. Systemic vasculitis contribute to vascular aging, increasing the arterial stiffness that can be inferred from the Pulse Wave Velocity (PWV) measurement. Carotid ultrasound evaluation allows vascular wall...
Conference Abstract

P3.15 ARTERIAL STIFFNESS IN NON-HYPERTENSIVE GHANAIAN SUBJECTS WITH TYPE 2 DIABETES

K. Yeboah, A.G.B. Amoah, D.A. Antwi, B. Gyan, V. Govoni, J.K. Cruickshank
Pages: 130 - 130
Background: Limited data exists on arterial stiffness in sub-Sahara Africa where diabetes and cardiovascular diseases are increasing rapidly. We aimed to compare the indices of arterial stiffness among type 2 diabetes (T2DM) and non-diabetes subjects (NDM), without hypertension, in Ghana. Method: Thirty...
Conference Abstract

P170 A FOREHEAD AND NASAL BRIDGE PULSE OXIMETER COMPARISON MEASUREMENTS ON HEALTHY SUBJECTS

Matti Huotari, Juha Röning, Kari Määttä
Pages: 130 - 130
Photoplethysmography (PPG) is a biophotonic technique which measures blood volume variations in vascular bed and it is well known for its utilization in pulse oximetry for the estimation of arterial blood oxygen saturation. Moving particles within the tissue bed generate rapidly changing absorption caused...