bluuebunny/crossref_metadata_2025 huggingface dataset:
Feasibility Study of Mud Shale as a Soil Organic Reconstructing Material and Soil Improvement Material
Authors: Xia Liheng , Zhang Panpan , Zhang Jing
Published: November 2024

In this study, on the basis of the physical and chemical properties of mud shale, after preliminary analysis, it is believed that it has a certain improvement effect on the soil types of new arable land with different textures. Therefore, it is proposed to set up a test on the compounding of mud shale weathered material with ancient soil (clay soil) and loamy soil (loamy soil) to explore its influence on improving the structure and nutritional characteristics of new arable land, in order to explore the technical measures for upgrading the land remediation quality and improve the economic, social and ecological benefits of land remediation projects. In order to explore the technical measures to improve the quality of land remediation and enhance the economic, social and ecological benefits of land remediation projects.
The Application and Innovation of Digitization in the Field of Procurement Management
Authors: Zhang Chao , Ma Wenshuang , Fan Chao , Qi Linwei
Published: November 2024

The rapid development of digital technology is profoundly transforming various aspects of procurement management. Through big data, artificial intelligence, and automation technology, enterprises can more accurately predict demand, improve the scientific selection and management of suppliers, and reduce human decision-making errors. At the same time, digital systems can ensure the legality and efficiency of contract execution in contract and compliance management, reducing legal risks. In inventory management, intelligent optimization solutions help enterprises dynamically adjust inventory levels to avoid inventory backlog or shortage. In addition, the digital process of procurement execution and performance evaluation makes the entire procurement process traceable and transparent, improving the overall efficiency of the supply chain. Digitization not only improves the efficiency and accuracy of procurement management, but also enhances the ability of enterprises to respond to market changes, realizing the intelligence and automation of procurement processes, and becoming a key factor for modern enterprises to enhance competitiveness.
Research on the Synergistic Optimization Path of Supply Chain Management and Working Capital in Retail Enterprises
Authors: Hao Yanhua
Published: November 2024

In today's business environment, the synergistic optimization of supply chain management and working capital is crucial to the competitiveness enhancement and sustainable development of retail enterprises. The purpose of this paper is to discuss the path of supply chain management and working capital synergistic optimization in retail enterprises, with a view to providing theoretical support and practical guidance for enterprises to achieve sustainable development. By breaking down departmental barriers, sharing information and integrating resources, enterprises can improve the efficiency and flexibility of the supply chain, optimize the flow of funds, reduce risks and achieve sustainable development.
Research on Improving the Service Ability of Community Volunteers
Authors: Liu Liying
Published: November 2024

In recent years, with the rapid development of China's economy and society, the focus of social governance has gradually shifted from the macro level to the grassroots level. As an important part of grassroots governance, community volunteers play a crucial role. This study takes Community A as an example to conduct research. The volunteer team in Community A has the following problems in the process of participating in volunteer services: first, insufficient cognitive ability; second, low level of communication; third, lack of organizational and cooperation ability. In response to these problems, this study puts forward corresponding solutions and suggestions. First, training for volunteers should be strengthened to improve their cognitive ability and professional skills and enable them to better understand the meaning and value of volunteer services. Second, team building activities should be carried out to enhance communication and cooperation among volunteers and improve the cohesion and collaboration ability of the team. Finally, internal and external resources should be correctly recognized and fully utilized to provide more support and guarantee for volunteers.
Experiences and challenges of the integrated development model on job creation
Authors: Rutarindwa Alphonse , Akena Francis , Ocan Johnson
Published: November 2024

This study proposes to explore the experiences and challenges of the integrated development program model on job creation in Rwanda’s Gasabo District. The study aims to understand how this model contributes to job opportunities, economic empowerment and community development within the District. In terms of methodology the study adopted a mixed methods approach, the study combined qualitative and quantitative research techniques.  Surveys was quantified the extent of job creation, while interviews were explored the perceived social and economic impacts on the local population, including challenges encountered in implementing this model. Results: The results revealed that the implementation of the integrated development model (IDM) in the Gasabo District reveals significant positive outcomes, particularly in healthcare, infrastructure, and financing initiatives for women and youth. High approval ratings were noted for health center establishment (M = 4.90, SD = 0.43) and infrastructure improvements (M = 4.70, SD = 0.71), underscoring their critical roles in economic development. Job creation showed promise, with small-scale business initiation with mean score of 4.66 although challenges in income diversification persisted (Meam = 3.84, St. dev = 1.26). A strong correlation (R = 0.807) was found between various predictors and job creation, with skills development emerging as a significant predictor (B = 0.149, p < .001). The study concluded that Moreover, the R Square value of 0.651 indicates that approximately 65.1% of the variance in job creation can be attributed to Integrated Development Model (IDM) implementation in the Gasabo District. Limitations: the limitations of the study conclude potential biases in self-reported data and the geographical limitation to Gasabo District, which may not fully capture the national context. Contribution: The findings of this study contributed to the understanding of integrated development program models in job creation and provide policy recommendations for enhancing these interventions. By highlighting the role of community-based interventions, this research can provide a scalable model for other districts in Rwanda and beyond. Importantly this research increased insights into how integrated development program models can address unemployment and promote sustainable economic growth.
A DETAILED MORPHOMETRIC STUDY OF THORACIC VERTEBRAE ANATOMY: UNDERSTANDING THE VARIATIONS IN VERTEBRAL STRUCTURE AND THEIR IMPORTANCE FOR SPINAL SURGERY AND TREATMENT OF SPINAL DISORDERS
Authors: KHAN QUA , ASGHAR SS , MALIK F , NOREEN N , AKHTAR N , SABA N
Published: November 2024

Thoracic vertebrae anatomy is critical for understanding spinal mechanics and for surgical interventions in treating spinal disorders. Morphometric variations in vertebral structure can influence the outcomes of spinal surgeries and the management of various spinal conditions. Objective: This study aims to provide a detailed morphometric analysis of thoracic vertebrae, focusing on the variations in vertebral structure. The goal is to enhance the understanding of these variations and their implications for spinal surgery and treatment. Methods: This analytical study was conducted at the Private Hospital of Karachi from Feb 2024 to August 2024. Data were collected from 85 patients. Utilizing morphometric methodology, different parameters of morphometric dimensions were conducted and screened to reveal patterns and variations among the sample. Results: Data were collected from 85 patients, which indicates a progressive increase in vertebral body dimensions from T1 to T12, with height, width, and depth all showing a notable rise as one moves down the thoracic spine. Specifically, vertebral body height increases from 15.5 mm at T1 to 23.2 mm at T12, while width and depth expand from 24.3 mm to 34.7 mm and 20.1 mm to 30.8 mm, respectively. This gradual increase suggests an adaptation to greater load-bearing demands in the lower thoracic region, likely providing enhanced structural support as the spine transitions toward the lumbar area. Conclusions: The observed morphometric variations in thoracic vertebrae have significant implications for spinal surgery, particularly in areas like implant design and surgical approach. A comprehensive understanding of these structural differences can aid in improving surgical outcomes and in developing personalized treatment strategies for spinal disorders.
ЭВОЛЮЦИЯ РОЛИ БЕЗОПАСНОСТИ ЛОГИСТИЧЕСКИХ ЦЕПЕЙ ПОСТАВОК
Authors: В.В. Журбина
Published: November 2024

Ускоренная цифровая трансформация цепей поставок начинает затрагивать уже и национальные интересы. Угрозы безопасности цепей поставок обретают новые формы, а к инструментам конкуренции подключаются кибератаки и цифровые ограничения. Цифровое будущее цепей поставок выдвигает на первый план поиск новых путей предотвращения рисков и угроз безопасности транспортно-логистических цепей поставок.

Accelerated digital transformation of supply chains is already beginning to affect national interests. Threats to supply chain security are taking on new forms, and cyberattacks and digital restrictions are joining the tools of competition. Digital future of supply chains highlights the search for new ways to prevent risks and threats to the security of transport and logistics supply chains.
Approaches and Benefits of Teaching English through Literature Curriculum at Myanmar Universities: Insights from Stakeholders
Authors: Mary Mary , Nuemaihom Akkarapon , Intanoo Kampeeraphab
Published: November 2024

The curriculum serves as a fundamental bridge between teachers and students, fostering an effective learning environment. This qualitative research investigates the pedagogical approaches employed by English literature teachers and evaluates the perceived benefits of using an English literature curriculum in EFL classrooms of Myanmar. The study involved 27 English literature teachers, six government officials, and three local business leaders through interviews, classroom observations, and focus group discussions. Four primary teaching approaches were identified: Paraphrastic, Information-Based, Language-Based, and Integrated Approaches. These methodologies are specifically designed to meet the diverse needs of students, thereby enriching their educational experiences. The research employed purposive sampling to select participants and conducted thematic analysis on the collected data through content and document analysis. The findings underscore the significance of integrating various literature genres, such as prose fiction, short stories, novels, poetry, and drama, into language education. This integration not only enhances language proficiency but also fosters critical thinking and cultural awareness among students. The study highlights the importance of a multifaceted approach to teaching literature, which can cater to different learning styles and preferences. To advance research in EFL education and pedagogy, future studies should focus on investigating specific pedagogical approaches, assessing the impact of digital technologies, and conducting longitudinal studies to deepen the understanding of literature’s role in language learning. The insights from this study provide valuable implications for curriculum developers, educators, and policymakers in enhancing the effectiveness of literature-based language education.
IMPLEMENTASI SISTEM KENDALI PEMICU LEDAKAN DETONATOR BERBASIS SMART RELAY GUNA MENDUKUNG DISPOSAL MUNISI
Authors: Syafaat Mokhammad , Ahmad Wira
Published: November 2024

In the process of munitions disposal, there are sometimes challenges that can pose risks to personnel or damage equipment. To address this, a smart relay system was developed with the aim of creating and testing a detonation control system to support munitions disposal in military operations. This research used an experimental approach, where the system was tested at various distances and environmental conditions. The testing aimed to measure response speed, relay activation success rate, and signal range. The results showed that the **smart relay** system was capable of operating with a fast response time up to a distance of 250 meters, with a success rate of 98% in the laboratory and 96% in outdoor conditions. However, the system still faces challenges in terms of signal range and battery life, especially at distances over 400 meters or in extreme environmental conditions. In conclusion, this control system is effective and efficient in enhancing the safety of munitions disposal. However, further development is needed to extend the signal range and optimize battery life. It is recommended to integrate stronger communication technology and more efficient batteries to improve the system's stability and performance in the field.
Keywords: Control system, Smart Relay, ammunition disposal, signal range
IMPLEMENTRASI SISTEM MONITORING PADA PEMICU LEDAKAN DEKTONATOR JARAK JAUH GUNA DISPOSAL MUNISI
Authors: Kholid Fajar , Sihotang Hendarto , Supriyono Supriyono
Published: November 2024

Dalam penelitian ini, diterapkan sebuah sistem pemantauan pemicu detonator jarak jauh untuk meningkatkan keamanan dan efektivitas dalam prosedur pembuangan amunisi. Dengan pemantauan dan pengelolaan detonator secara jarak jauh, perangkat ini mengurangi kemungkinan terjadinya kecelakaan dan meningkatkan pengawasan terhadap protokol pembuangan amunisi. Pengujian lapangan digunakan dalam proses desain perangkat keras dan perangkat lunak sistem pemantauan untuk menilai kinerja sistem dalam berbagai kondisi operasional. Hasil penelitian menunjukkan bahwa pendekatan ini dapat memberikan intervensi cepat dalam situasi darurat dan menyediakan informasi real-time mengenai kondisi detonator. Kami percaya bahwa pemasangan sistem pemantauan ini akan menjadi pendekatan baru untuk meningkatkan efektivitas dan keamanan dalam pembuangan amunisi sambil mengurangi risiko bagi pihak-pihak yang terlibat.
Smart Kali “Rancang Bangun Deteksi Dini Bahaya Banjir Berbasis Lora Wan
Authors: Priyanto Bakhtiar Galih
Published: November 2024

Banjir merupakan bencana alam dimana daerah tertentu tergenang akibat tingginya debit air. Sampai saat ini bencana alam tersebut masih menjadi tugas oleh pemerintah dan TNI yang merupakan komponen negara dalam mendukung masyarakat membantu menanggulangi akibat bencana alam, pengungsian, dan pemberian bantuan kemanusiaan yang tercantum dalam tugas operasi militer selain perang diatur dalam UU No. 34 Tahun 2004. Bersumber dari Surya.co.id meluapnya sungai amprong dan intensitas hujan yang tinggi serta kiriman air dari kawasan lereng Gunung Bromo membuat debit air sungai amprong meninggi. Dari permasalahan tersebut, penulis memiliki gagasan konsep teknologi yang dapat digunakan dalam memberikan informasi bencana alam banjir yakni SMART KALI “RANCANG BANGUN DETEKSI DINI BAHAYA BANJIR BERBASIS LORA WAN”. Alat ini didesain dengan komponen kamera inframerah, sensor ultrasonik, sensor hujan, solar cell dan sirine. Alat ini akan mengukur ketinggian air dan membaca terjadinya hujan pada daerah tersebut dan bekerja dengan mengolah data secara terus menerus yang disimpulkan dengan sistem cerdas menampilkan informasi level ketinggian air dengan 3 tingkatan bahaya serta menampilkan gambar terkini pada website. Sirine akan berbunyi pada setiap tingkat kewaspadaan banjir mencapai tingkat kewaspadaan siaga dan bahaya. Pengguna yang mengakses ditentukan oleh pemerintah dan koramil setempat sehingga mempercepat pengambilan keputusan untuk menghindari korban jiwa. Maksud dan tujuan peneliti adalah menghasilkan alat yang mampu memberikan informasi peringatan dini secara efektif dan efisien,serta mudah untuk diakses oleh pemerintah daerah  dan TNI dalam mengetahui adanya bencana banjir.
Kata Kunci : Kamera inframerah, Sensor Ultrasonik, Sensor Hujan,dan Module LoRa WAN
Perancangan Webserver Sebagai Monitoring Kualitas Air Pada Ransel Filterisasi Air Portable Berbasis Internet-Of-Things
Authors: Putu Yuda Wardana Putu Yuda Wardana
Published: November 2024

Kemajuan teknologi komunikasi nirkabel, seperti 4G, 5G, dan Wi-Fi, telah memungkinkan konektivitas cepat untuk jutaan perangkat di seluruh dunia, mendukung perkembangan Internet of Things. Di Indonesia, IoT semakin berkembang berkat inisiatif pemerintah dan peningkatan infrastruktur. Dengan populasi yang terus meningkat, kebutuhan air bersih juga meningkat, namun penurunan kualitas air menjadi masalah serius yang berdampak pada kesehatan masyarakat. Keterbatasan infrastruktur dan kontaminasi air, terutama di daerah konflik bersenjata dan peperangan, memperburuk situasi akses air bersih. Oleh karena itu, diperlukan alat filterisasi air portable yang dapat digunakan di lokasi terpencil. Selain itu, sistem pemantauan kualitas air secara jarak jauh menggunakan IoT sangat penting untuk mendeteksi kontaminasi secara real-time, meningkatkan respons terhadap masalah kualitas air, dan menyediakan data yang transparan dan mudah diakses oleh pengguna. Implementasi website untuk pemantauan ini diharapkan dapat memperbaiki efektivitas dalam menjaga kualitas air. Penelitian ini mengembangkan sistem pemantauan kualitas air secara real-time menggunakan teknologi Internet of Things. Sistem portable ini memungkinkan pengguna memeriksa kualitas air dari berbagai lokasi melalui webserver, dengan data yang disajikan dalam visual sederhana dan intuitif. Ini penting untuk pengambilan keputusan cepat mengenai keamanan air. Sistem memungkinkan pemantauan jarak jauh, mengirim data dari sensor ke webserver, sehingga pengguna tidak perlu berada di lokasi. Desain antarmuka yang user-friendly meningkatkan aksesibilitas informasi. Penelitian juga membuka peluang pengembangan lebih lanjut dengan tambahan parameter dan fitur notifikasi otomatis untuk respons yang lebih cepat terhadap masalah kualitas air.
Kata kunci: Internet of Things, pemantauan kualitas air, sistem portable, real-time, webserver, notifikasi otomatis
Implementasi Website Sebagai Sistem Monitoring Penanggulangan Bencana Alam Banjir Untuk Satuan Teritorial Dan Pemerintahan Berbasis MTQQ
Authors: Pratama Bagas Putra Wastu Pratama
Published: November 2024

Banjir merupakan salah satu bencana alam yang umum terjadi di Indonesia, mengakibatkan kerugian besar baik secara materi maupun korban jiwa. Hal ini disebabkan oleh berbagai faktor, seperti curah hujan yang tinggi, buruknya sistem drainase, dan aktivitas manusia yang tidak ramah lingkungan. Menghadapi permasalahan ini, diperlukan sistem yang mampu memonitor kondisi lingkungan secara real-time sehingga langkah pencegahan dapat diambil lebih cepat dan tepat sasaran. Artikel ini membahas pengembangan sistem monitoring bencana banjir berbasis website yang dirancang untuk memantau debit air, memberikan notifikasi melalui berbagai platform komunikasi, dan memfasilitasi aksesibilitas data secara real-time bagi instansi terkait. Sistem ini memanfaatkan perangkat teknologi Internet of Things (IoT) melalui arsitektur sensor dan modul komunikasi LORA yang memungkinkan transmisi data jarak jauh. Tujuannya adalah memberikan alat bagi satuan teritorial dan pemerintahan dalam pengambilan keputusan cepat terkait penanggulangan banjir.
Theory, culture, and society (TCS) in modern Thailand, 2023
Authors:   Singapore University of Social Sciences, Bangkok, Thailand, L. Rappa Antonio
Published: November 2024

The aim of this academic paper is to analyze the structure of the democratic transition of modern Thailand in terms of its theory, culture, and society. Democracy is an alien concept to Thailand and its earlier Siamese incarnation. This academic article makes use of non-participant participation by using an attitudinal survey (Likert Scale) of Thai persons in addition to focus groups made up of Thai-farang and local Thai couples with and without children. The survey was carried out via Google Survey between 10 July 2023 and 10 September 2023 in Singapore among foreign Thai participants. The size of the local focus group in which f2f was conducted in Singapore was 23 persons. All 23 persons who took part in the f2f focus group were either Thai men and women or Thai men or women married to farang with long-term employment passes in Thailand. The details of their homes in Singapore and Thailand, their birth certificate numbers and their Thai national identity card numbers, ages, and gender were not recorded. The attitudinal survey was also not compulsory and participants could leave any time they wanted; even though none did leave and all remained to take part in the entire survey. Therefore, the survey and the focus group were anonymous. There were a total of 10 questions in the survey and 10 questions were written in English as well as Standard Thai Language (STL) for the focus group. The results of both are listed as Annex A and Annex B to this academic article.
VIOLÊNCIA DOMÉSTICA E FAMILIAR: CRIMES CONTRA A MULHER NO ÂMBITO FAMILIAR
Authors: Souza Hilleana Ribeiro , Fernandes Lorraine Costa
Published: November 2024

Este artigo analisa a prevalência e os impactos da violência doméstica e familiar contra a mulher, destacando sua natureza multifacetada e as consequências para as vítimas, famílias e sociedade. Investigamos fatores de risco, como desigualdade de gênero e padrões culturais, e examinamos intervenções preventivas e de apoio. Concluímos que a abordagem integrada, envolvendo legislação, educação e apoio psicossocial, é essencial para enfrentar esse problema complexo e promover a segurança e a igualdade de gênero. Inspirado pela obra "Sobrevivi, posso contar" de Maria da Penha, que narra sua luta por justiça e sobrevivência, refletindo sobre a importância de ações integradas. Concluímos que uma abordagem integrada, envolvendo legislação, educação e apoio psicossocial, é essencial para enfrentar esse problema complexo e promover a segurança e a igualdade de gênero.
Implementing an AI Fatigue Risk Management System for Aviation Maintenance SMS: A Technology Enhanced Critical Process Human Factors Safety Plan
Authors: Miller Mark , Mrusek Bettina , Herbic Jeff , Holley Sam , Halawi Leila
Published: November 2024

Commercial aviation maintenance is a safety-critical process that requires adherence to maintenance procedures. Unfortunately, when this maintenance process fails due to human error, it can come as a costly event and potentially keep an aircraft out of revenue service. The researchers have advocated using some form of human factors risk management safety reporting system within a Safety Management System (SMS) framework for airline maintenance to mitigate human error. But the current shortages of aviation maintenance technicians (AMTs) create a fatigue inducive environment that calls for better fatigue mitigation. What is the point of having a good SMS and human factors safety reporting system if AMTs are often exposed to hazardous fatigue levels? Strategically, both a strong human factors risk management safety reporting system and a proactive fatigue risk management (FRM) system would have to work complementary with each other to keep the critical maintenance process safe within the SMS framework. With AMT fatigue in United States (US) identified as a problem, the researchers then analyzed the current Federal Aviation Administration (FAA) FRM system (AC 120-115). From the analysis, the researchers propose a solution in the form of an AI FRM system. To accomplish the proposed AI FRM system design, a research-supported AI integration system framework called CHAAIS was adopted. The proposed AI FRM system complementing a human factors risk management reporting system in SMS could greatly enhance airline safety.
Supporting Informal Sustainability Learning with AI-assisted Educational Technology
Authors: Sun Qiming , Hsiao Sharon
Published: November 2024

This paper presents Waste Genie (WG), a novel web-based educational platform designed to enhance learning about sustainable waste management. WG employs bite-sized interactive content and leverages artificial intelligence to support sustainability education. To assess WG's efficacy, we conducted a user study involving 21 college students. The study aimed to evaluate improvements in sustainability awareness, waste sorting skills, and overall user experience. Results showed a notable increase in participants' understanding of waste management practices and their ability to correctly classify waste items. This research demonstrates the potential of combining emerging technologies like large language models with interactive learning approaches to address environmental education challenges.
Voice function operation in hospital intelligent registration systems
Authors: Yan Xuanhui , Hu Xin
Published: November 2024

Based on the technological development trend of modern society, hospitals use intelligent registration machines to provide support to human workers. At present, the self-service registration machine presents the following interactive problems: due to the inconsistency of department names across various hospitals, the operator struggles to accurately find the target option that meets the needs of their illness on the machine, instead they have to seek manual consultation at the triage desk. However, under normal circumstances, the triage table is often understaffed with no clear queuing rules. In such environments, this is more likely to increase anxiety and other stressful emotions that can result in contradictions and disputes between patients and staff. Moreover, the system used by the self-service registration machine may not be suitable for the elderly and similar patients who are not familiar with technology use, and not as accessible for the visually impaired. Therefore, in order to facilitate the improvement of intelligent registration machines, field research was conducted in three different hospitals currently using said self-service machines. To investigate the interaction process, the researcher observed the use of the equipment in the hospital environment and patients were briefly interviewed on how the machines may be inaccessible. Patient responses were then sorted into key points, coded, and grouped into specific problems. Field research can effectively gather information of the significant problems in the environment the equipment is used such as the user's emotions, grasp the common problems of use by the public, and propose targeted solutions. Finally, this study is aimed to optimize the device interaction by adding the voice recognition function and make a targeted voice dialogue registration system design to the self-service machine. Upon returning to the research site to ask the patients whether the addition of the voice system could improve the efficiency of operation, the consensus was unanimously affirmed. The addition of the new voice functions in intelligent registration equipment can effectively improve the registration efficiency, reduce the error rate of department selection and reduce the probability of hospital disputes, and also can relive the pressure of triage desk manual service, and form a better general hospital environment. The specialised voice registration can reduce the difficulty of operation for the elderly, the visually impaired, and those whose disabilities make it inconvenient to use such machines, and broadens the scope of use.
Computational Design of a Naval Unit For Rapid Intervention In Case of Marine Eco-system Disaster
Authors: Gabriela Ene Alexandra , Mihai Carmen
Published: November 2024

The design and accomplishment of the systems used in the marine field (targets with direct sight, radar targets, floating units) require the analysis of the hydrometeorological conditions characteristic of the open areas of the marine shore areas of the coast, respectively: H wave = 6 - 8 m; L wave = 25 - 30 m with trochoidal waves (multi-directional and multi-component waves), V current = 1.5 m/s, as well as the nature of the substrate (sandy areas). For the digital design and loading of the patterns of the Naval Rapid Intervention Unit, the Optitex Pattern Making software was used. With the help of the modules included in the program, the changes made on the patterns were additionally transferred to the virtual model that provided: visualization of modules created as 2D patterns in virtual 3D mode; analysis of how changes made to 3D models affect 2D patterns; direct transition from concept to virtual 3D model with all aspects related to the fully defined product (material properties and their behavior). The equipment was tested and analyzed based on the physical-mechanical performance level, and the main statistical parameters were determined as essential elements for the optimization of the proposed technological solution.
Trust Us: A Simple Model for Understanding Appropriate Trust in AI
Authors: Wisniewski Kyra , Ting Christina , Matzen Laura
Published: November 2024

We address the dissonance in the formal study of trust in artificial intelligence (AI) by presenting a simple trust model that connects the two most-commonly cited definitions of trust. This dissonance can be largely attributed to the fact that expressions of trust are familiar to us, but the abstract concepts we formally study are not. To illustrate, consider what it means to trust your car navigation system. You might say that you trust your navigation system’s ability to recommend the best route during rush hour. However, when it comes down to it, you may opt to stay on your standard route. Your words express trust as an attitude, your actions express trust as an intention. While we can easily differentiate the expressions of trust in everyday life, overloading of the term ”trust” to mean both an attitude and an intention has led to a lack of precision and confusion in its formal study. We analyze the two papers most frequently cited by the community for their definitions of trust. One paper defines trust as an attitude (Lee and See, 2004), while the other defines trust as an intention (Mayer, Davis, & Schoorman, 1995). We develop a simple trust model that clearly articulates the relationship between these definitions. Simply put, trust as an attitude is weighed against perceived risk to determine trust as an intention. We also use the model to define appropriate trust in AI. A major goal of this work is to enable the design of trust experiments that manipulate and measure components of a shared model, allowing for comparison across research efforts and the building up of a consistent body of trust research. A practical implication of understanding trust is to strengthen the relationship between humans and technology.
Examining the Role Memory Plays in Cyber Defence Evaluation: Risk and Uncertainty Demystified
Authors: Aljohani Asmaa , Jones James
Published: November 2024

Attackers’ decision-making processes can be influenced by their past hacking experiences, their knowledge of a target system, which is determined by the method/tool used to explore the system, and how important it is for them to remain undetected, among other factors. In this work, we utilized reinforcement learning (RL) agents equipped with/lack specific human-like capabilities to analyze how they interact with an environment characterized by (un)certain observation spaces. In particular, we investigated how agents with different memory systems and settings interact with reduced, masked, noisy, and baseline observations. First, to investigate whether the models are able to predict human-like tendencies, we analyzed the ability of non-linear models, calibrated to model different memory systems, and a linear model to predict actions taken by healthy humans and pathological gamblers (addicts) performing gambling tasks under incentive-compatible implicit and explicit learning schemes. Our findings show that a model’s ability to predict an individual’s tendency towards advantageous or disadvantageous actions is a function of the model’s characteristics, including the memory system(s) utilized in decision-making and its related attributes (e.g., impairments) and the condition(s) under which a decision is made (i.e., whether the decision is made under uncertainty or risk). Having examined the role memory systems and settings play in predicting real human behaviors using psychological datasets, we augmented RL agents with similar memory systems and settings to examine their influence on RL agents’ original behavior, that is of maximizing a net reward or satisficing a predefined condition. The analysis shows that equipping agents with different memory systems significantly and uniquely influences their approach to (un)certain observation spaces.Main findings:- In a simulated environment, knowledge of deception (or lack thereof) can be modeled in terms of the conditions (decision-under-uncertainty vs. decision-under-risk) under which the decision is made. We demonstrated that both conditions require further consideration when integrating cyber deception techniques into the environment and when evaluating agents using unique neural network architectures against defensive deception techniques. - Populations with distinct learning strategies require unique placement strategies since the thresholds of success may differ.- Strategies used to integrate deception into a network environment, which includes masking or reducing the observation space or adding noise to the observation space, vary in their effectiveness against the different types of agents.
Human-centric Security Engineering: Towards a Research Agenda
Authors: van der Kleij Rick , Van Hemert Dianne , Jan Te Paske Bert , Rooijakkers Thomas
Published: November 2024

While the importance of designing for user experience has long been acknowledged, there has been relatively little exploration of the actual processes involved in constructing usable and cybersecure systems. In many conventional projects, cybersecurity and usability are not considered primary goals, making them likely candidates for sacrifice in the rush to meet project deadlines. Unfortunately, designing systems with both cybersecurity and usability in mind is easier said than done and typically requires a change towards an organizational culture more conducive of human-centric designing. This position paper advocates for expanded research to explore the connection between culture and engineering practices, highlighting their impact on advancing a cyber-secure society. We explore ways in which the behavior of software development team members towards designing software and products that are both usable and cybersecure can be influenced through organizational culture. We conclude that initiating change within culture requires additional knowledge that future research must seek to provide. Three of these areas are discussed in the paper for immediate attention. The practical implication of this paper is that it encourages research in the field and provides some propositions to guide future empirical investigations.
Hollywood Regency: American Design Under the Influence of Chinoiserie
Authors: Zhu Ellen
Published: November 2024

Building on the historical development and design characteristics of Chinoiserie in America, this study examines history as a catalyst for design and investigates how design shapes society and culture. By constructing a historical narrative that links Europe with colonial and post-colonial America from both political and economic perspectives, the research elucidates the profound influence of Chinoiserie on the Hollywood Regency style. Europeans and Americans alike infused Chinoiserie with distinctive, dreamlike qualities, establishing it as a crucial source of inspiration for Hollywood Regency design.
Exploring the Path of City Image Communication through IP Image Design: A Comparative Study of China and Japan
Authors: Qiao Yuexi
Published: November 2024

In the traditional media era, city images were primarily constructed by government departments. However, in the new media era, city images are mainly built by the public through online channels, with IP images being an important carrier for promoting city images. This paper examines the cases of Kumamon in Kumamoto Prefecture, Japan, and the giant panda Hua Hua in Sichuan, China, to explore the experiences and shortcomings of using IP images to assist in city image communication in different countries. It aims to construct a design system for IP images suitable for Chinese cities from aspects such as establishing the image, endowing it with vitality, artistic construction, and long-term assurance. The study finds that integrating regional history and culture into IP image design can optimize city images, enhance cultural added value, and open new avenues for city cultural communication, thereby promoting sustainable economic development. This research provides new ideas and practical guidance for innovative urban cultural communication strategies.
Color Impressions in Images of Decorated Interiors and Furniture Are Influenced by Differences in Color Vision
Authors: Kido Atsushi , Kato Toshikazu , Sakamoto Takashi
Published: November 2024

The objective of this study is to investigate how impressions derived from multiple colors differ depending on the diversity of color vision. We have already conducted research on color impressions using abstract images as visual stimuli containing multiple colors. In this report, we will conduct a similar study using images of decorated interiors and furniture, which include more familiar subjects. Globally, 2% to 10% of men have color vision deficiencies (protan or deutan color vision), and many studies have been conducted to consider color　discrimination. However, there are few comprehensive survey results on how people with color vision deficiencies perceive various color impressions. In the study on color impressions perceived from single colors by Ichihara (2018, 2019), it was reported that people with protan or deutan color vision perceive colors like red and green as dark, sober, and dull, whereas colors like blue, purple, yellow, orange, and yellow-green are perceived as bright, flashy, and lively. Furthermore, in the study by Sakamoto et al. (2019) focusing on abstract images containing multiple colors, it was reported that the structure of color impression evaluation could be explained by three factors, including a factor related to "harmony." In this experiment, we targeted individuals with normal color vision (both male and female) and those with dichromatic color vision deficiency (both protanopia and deuteranopia). The experiment was conducted from January 10, 2024, to April 20, 2024. Images of decorated interiors and furniture with various color combinations were displayed on an LCD monitor (EIZO CG279X) connected to a MacBook Pro. We calibrated the color and brightness of the EIZO LCD monitor using color management software (EIZO ColorNavigator 7). We collected color impression data using the Semantic Differential (SD) method. Subsequently, we employed Principal component analysis to investigate which principal components significantly influenced judgments across different types of color vision. The results of the Principal component analysis extracted four principal components for each type of color vision. Specifically, these principal components are Activity (associated with liveliness and flashiness), Harmony (associated with beauty and elegance), Potency (associated with weight and strength), and Sharpness (associated with the sharpness of color combinations). It was suggested that color vision differences (normal color vision, protanopia, and deuteranopia) affect the evaluation of Harmony differently. Our results also suggest that when impressions of highly salient colors in interior design are similar across different types of color vision, the design tends to evoke the same impression. On the other hand, when impressions of highly salient colors differ across different types of color vision, the design tends to evoke different impressions.
Emotion Regulation Strategies and the Innovative Design of AIGC Interactive Healing Images
Authors: Wen Xingyi , Wang Jianmin , Shu Yu , Ji Xi
Published: November 2024

The study explores a new approach to Artificial Intelligence Generated Content (AIGC) in interactive healing image design based on Gross's emotion regulation theory. By deeply analyzing the emotion regulation theory, this study proposes for the first time an innovative design framework that integrates emotion recognition, real-time adjustment and content generation. The framework focuses on the automated recognition and classification of emotions, the adjustment of real-time emotion regulation strategies, and the generation of personalized content, aiming to enhance the user's healing interactive experience.This paper provides new ideas and guidance for the application of AIGC technology in the field of interactive healing images, which has important theoretical and practical implications. Future research can further explore the practical application effects of these design principles and technical strategies.
On the practical utility and practical path of fashion model emotional memory method in performance
Authors: Wu Jianhong , Chen Xiaomei
Published: November 2024

From the beginning of the 14th century, to the vigorous development of the 19th century, the form of costume performance art has become more and more perfect. With the progress of society and the improvement of aesthetic concepts, the audience's expectation of fashion shows is no longer limited to the external beauty of models, but more eager to see the emotional resonance and the true representation of life. From the viewpoint of psychology and the theory of fashion performance, this paper analyzes the basic composition of model performance, then introduces the concept of emotional memory into the field of fashion performance, and explores the advantages of empathy, authenticity and life as the three characteristics of real model performance. An in-depth analysis of the effect of models' emotional memory expression on fashion shows shows that models' plump perception will fill the performance details and work together with external body expression in the performance art of clothing to achieve the best artistic effect. To complete emotional memory performance, models also need to implement the concept of life aesthetics and experience aesthetics in daily training, attach importance to indirect experience, and pay close attention to technical assistance and technology empowerment.
Participant Experience Evaluation in Digital Rural Poetry Activities: A Sentiment Analysis Case Study of Mingyue Village in China
Authors: Li Jiaman , Wai Kin , Siu Michael
Published: November 2024

In the era of digital intelligence, integrating digital technologies and social media has revitalized cultural activities in rural communities, attracting the attention of many visitors. Utilizing Mingyue Village in China as a case study, this research explores how poetry creation and dissemination have become new pathways for preserving rural cultural heritage, allowing participants to share and experience poetry creation in both physical and virtual spaces. The study aims to assess the emotional expressions of residents in digital poetry activities. Based on anthropological fieldwork, it employs SVM (Support Vector Machine) with SMOTE (Synthetic Minority Oversampling Technique) to analyze poetry text data, delving into participants' emotional interests and inclinations. The results show that digital poetry activities not only enhance rural residents' sense of place and community cohesion but also promote the expression of positive emotions. The study concludes that digital poetry activities are an inevitable outcome of technological advancement while responding to human emotional and cultural needs. Future research will focus on optimizing sentiment analysis techniques, expanding sample sizes, and integrating tourism and cultural activities to promote rural community development and cultural heritage preservation.
Evaluation of the Learning Effectiveness of a Smart TRX and Functional Fashion Workshop
Authors: Hsieh Hsin-rong , Huang Ying-Chia , Chen Yu-jen , Hsu Peng-cheng , Chang Ya-chun , Hung Jui-yun
Published: November 2024

This study evaluates the learning effectiveness of a TRX and smart clothing-based workshop delivered to 25 student participants. It assesses various dimensions of learning effectiveness, including TRX experience, design thinking, functionality, product evaluation, and market analysis. To achieve this, a combination of quantitative research methods were employed; i.e., questionnaires, in-class tests, and teaching evaluations. The results revealed the TRX experience significantly enhanced students' design capabilities with regard to the development of functional clothing. However, for students from non-textile related disciplines, explanations of clothing-related terms were necessary, suggesting future workshops should incorporate relevant explanations to facilitate learning. According to student feedback, affective (about 50%) and cognitive (about 49%) aspects were developed, while skills development was minimal (about 1%). Replacing traditional textbook theory with hands-on TRX exercises was a crucial benefit of the workshop, leading to high levels of student engagement and positive experiences, as was generating a deeper understanding of core muscle group training methods. This had a positive impact and inspired the product design process.
Air conditioner operating system based on the concept of Benefit of Inconvenience (Bol)
Authors: Tanaka Haruki , Furumachi Kodai , Kobayashi Haruaki , Kang Namgyu
Published: November 2024

Today, a growing body of research focuses on the "Benefit of Inconvenience (BoI)," a richness that can be enjoyed and, therefore, the physical and psychological labor it entails. There is also a movement to propose the "Benefit of Inconvenience Systems (BoI Systems)," things (Products and Services) that provide the BoI to users. The purpose of this study is to propose a new BoI System by analyzing conveniences in the living environment, the richness lost due to conveniences, and the adverse effects caused. In proposing a new BoI System, this study focuses on convenience and its adverse effects from two perspectives. First is the black box effect of adjusting the room temperature, resulting in the convenience of setting the room temperature at the touch of buttons by operating an air conditioner using a remote control. Second is the diminishment of the value of each photo, leading people to leave their photos without managing and reviewing them, a result of the convenience of the spread of smartphones, which allows anyone to take any number of photos quickly. By re-examining these conveniences and adverse effects, we propose "MemoCon (Memory Air Conditioner)," a BoI System that operates an air conditioner by estimating the temperature and air volume based on the visuals of photos taken in the past. The room temperature can be adjusted based on the user's intuition by operating the air conditioner through the visuals in the photos. In addition, selecting photos from a photo album on a smartphone creates an opportunity for the user to look back at the photos. After determining the specifications, we made a prototype for use as a smartphone application and a promotional video to show the actual environment in which "MemoCon" would be used so that the content of this proposal could be conveyed concretely.