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Collaborative Framework for circRNA-Disease Associations Prediction using Dual Variational Graph

IEEE Transactions on Big Data 2025年

作者： Liu, Changchun Wang, Lei Zhao, Bowei Wei, Mengmeng Li, Yang Lu, Mianshuo Wei, Yu Liang, Sizhe The School of Computer Science and Technology China University of Mining and Technology Xuzhou221116 China Key Lab of Human-machine Interaction and Intelligent Decision Guangxi Acad emy of Science Nanning530007 China The School of Computer Science and Information Engineer ing Hefei University of Technology Hefei230601 China The College of Computer and Information Science School of Software University of Chinese Academy of Sciences Urumqi830011 China

Many experiments have shown that circular RNA (circRNA) can act as biomarkers for complex diseases and play significant regulatory roles in multiple pathological processes. However, most circRNA-disease associations remain unknown, and discovering these associations through biological experimental approach is expensive and time-consuming. Taking into account the shortcomings of current methods, we introduce a new collaborative framework that utilizes multi-heterogeneous graphs, along with variational graph auto-encoders (VGAE) to predict associations between circRNA and diseases. First, we build multi-similarity networks using various biological attributes of circRNA and diseases, and integrate these similarity networks. Two subnetworks are constructed from association matrix and combined similarity network, which included a circRNA-based network and a disease-based network. We then employ random walk with restart and Singular Value Decomposition, for feature extraction from the similarity matrix. Finally, we use collaborative framework to predict the circRNA-disease association scores based on the two subnetworks. We integrate the two score matrices to obtain a final prediction scoring matrix. Using 5-fold cross-validation on the CircR2Disease dataset, our model achieved an AUC score of 0.9828 and an AUPR score of 0.9820. Additionally, among the top 30 highest-scoring circRNA-disease association pairs, 26 associations have already been validated. Our model shows strong performance and can accurately predict associations between circRNA and diseases, according to experimental results. © 2015 IEEE. All rights reserved.

关键词： Variational techniques

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The Mobile Office: A Mobile AR Systems for Productivity Applications in Industrial Environments 13th

The Mobile Office: A Mobile AR Systems for Productivity Appl...

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13th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2021, Held as Part of the 23rd HCI International Conference, HCII 2021

作者： Linares Garcia, Daniel Antonio Dongre, Poorvesh Roofigari-Esfahan, Nazila Bowman, Doug A. Department of Building Construction Virginia Tech BlacksburgVA24060 United States Department of Computer Science Virginia Tech BlacksburgVA24060 United States Center for Human-Computer Interaction Virginia Tech BlacksburgVA24060 United States

ISBN: (纸本)9783030775988

This article proposes the Mobile Office, an AR-Based System for productivity applications in industrial environments. It focuses on addressing workers’ needs while mobilizing in complex environments and when workers want to do productive work similar to a workstation setting. For this purpose, the Mobile Office relies on a bi-modal approach (mobile and static modes) to addresses both scenarios while considering critical aspects such as UI, ergonomics, interaction, safety, and cognitive user abilities. Its development relies first on a systematic literature review for establishing guidelines and system aspects. Then AR-UI mockups are presented to incorporate literature and authors’ expertise in this area. Three hardware configurations are also presented for the implementation of the Mobile Office. Validation of the Mobile Office was made through a survey to potential users that provided their feedback about their perceptions of proposed system. The survey results revealed concordance of critical aspects of particular importance for effective productivity support on the Mobile Office’s focus scenarios. We incorporated these critical aspects and suggested future research direction for the Mobile Office’s further development and significance. © 2021, Springer Nature Switzerland AG.

关键词： Augmented reality

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A great disturbance in the crypto:Understanding cryptocurrency returns under attacks

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Blockchain(Research and Applications) 2021年第3期2卷 68-78页

作者： Simona Ramos Fabio Pianese Thomas Leach Ester Oliveras Augmented Machine Interaction team AI Research LabNokia Bell LabsParis-SaclayNozay 91620France Department of Computer Science Universitat Pompeu FabraBarcelona 08002Spain Department of Economics Universita di PaviaPavia 27100Italy

A non-traditional type of financial asset,cryptocurrencies based on public blockchains are still little understood in their real-world *** events such as cyber-attacks and their media coverage can strongly affect their supply and demand,adoption and usage,efficiency,and infrastructural development,thus influencing their price stability and market *** the great technical complexity of blockchains,we believe that a pure economic analysis of risks associated with cryptocurrencies is simply not sufficient to convey the relationships between attacks and the disruptive effects that these can bring on the operation of *** these grounds,we survey the most common types of attacks for Proof-of-Work(PoW)cryptocurrencies and evaluate their impact on the returns of a number of real-world cryptocurrencies for which market data are *** to data availability,our event study analysis focuses on instances of 51% attacks,hard forks,and wallet *** main goal of our analysis is to understand the relationship between technical events(cyber-attacks and coordinated user/miner behavior)and the economic impacts surrounding *** aim to develop a deeper understanding of these systems that are objects of great research interest in separate disciplines,supporting policymakers in their regulatory decisions concerning crypto-assets and associated cyber-related financial risks.

关键词： Blockchain Cryptocurrencies Event studies Cyber attacks

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How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies

arXiv

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arXiv 2025年

作者： Ran, Zihe Fan, Xianzhe Li, Xiyu Li, Franklin Mingzhe Lu, Zhicong Xiao, Qing Wang, Yanyun Communication University of China Beijing China Tsinghua University Beijing China Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Department of Computer Science George Mason University FairfaxVA United States College of Media Communication and Information University of Colorado Boulder BoulderCO United States

As blind and low-vision (BLV) players engage more deeply with games, accessibility features have become essential. While some research has explored tools and strategies to enhance game accessibility, the specific experiences of these players with mobile games remain underexamined. This study addresses this gap by investigating how BLV users experience mobile games with varying accessibility levels. Through interviews with 32 experienced BLV mobile players, we explore their perceptions, challenges, and strategies for engaging with mobile games. Our findings reveal that BLV players turn to mobile games to alleviate boredom, achieve a sense of accomplishment, and build social connections, but face barriers depending on the game’s accessibility level. We also compare mobile games to other forms of gaming, highlighting the relative advantages of mobile games, such as the inherent accessibility of smartphones. This study contributes to understanding BLV mobile gaming experiences and provides insights for enhancing accessible mobile game design. Copyright © 2025, The Authors. All rights reserved.

关键词： Game design

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ExplainitAI: When do we trust artificial intelligence? The influence of content and explainability in a cross-cultural comparison

arXiv

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arXiv 2025年

作者： Kang, Sora Potinteu, Andreea-Elena Said, Nadia Human-Computer Interaction+Design Lab Seoul National University Seoul Korea Republic of Perception and Action Lab Leibniz-Institut für Wissensmedien Tübingen Germany Applied Cognitive Psychology Department of Psychology University of Tübingen Tübingen Germany

This study investigates cross-cultural differences in the perception of AI-driven chatbots between Germany and South Korea, focusing on topic dependency and explainability. Using a custom AI chat interface, ExplainitAI, we systematically examined these factors with quota-based samples from both countries (N = 297). Our findings revealed significant cultural distinctions: Korean participants exhibited higher trust, more positive user experience ratings, and more favorable perception of AI compared to German participants. Additionally, topic dependency was a key factor, with participants reporting lower trust in AI when addressing societally debated topics (e.g., migration) versus health or entertainment topics. These perceptions were further influenced by interactions among cultural context, content domains, and explainability conditions. The result highlights the importance of integrating cultural and contextual nuances into the design of AI systems, offering actionable insights for the development of culturally adaptive and explainable AI tailored to diverse user needs and expectations across domains. © 2025, CC BY-NC-SA.

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RCGraph - A Tool to Integrate Readme and Commits through Temporal Knowledge Graphs

RCGraph - A Tool to Integrate Readme and Commits through Tem...

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IEEE/ACM International Conference on Program Comprehension (ICPC)

作者： Akhila Sri Manasa Venigalla Mir Sameed Ali Nikhil M Sridhar Chimalakonda Department of Computer Science & Engineering Research in Intelligent Software & Human Analytics (RISHA) Lab Indian Institute of Technology Tirupati India

Readme files and commit logs carry important and useful project information, corresponding to project dependencies, project functionalities, additions, deletions, and so on. These two artifacts have been analysed separately to obtain project specific information corresponding to contribution guidelines, bug prediction and localisation. Linking the readme files with associated commits and further querying the linked data could help in assessing time stamp specific changes made to the readme files. Utilizing knowledge graph representation of data is observed to largely support querying and integration and extraction of data from heterogeneous sources. To this end, we present a tool to generate readme specific temporal knowledge graph, as a first step towards integrating readme files and commit logs. As commits contain temporal information of the changes, we see that overlaying this information over the corresponding text in readme files could help in arriving at a temporal knowledge graph (TKG). We present a case study of querying the TKG for one repository and further evaluate the tool on 10 repositories spanning across 10 programming languages on GitHub. For demo video, visit - https://***/4YOCDngf4bY. For website of the tool, visit - https://***/rcgraph/

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Systematic comparison between a research-grade EEG device and a consumer-grade BCI device for predicting consumer preference using an ML framework

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Multimedia Tools and Applications 2025年 1-19页

作者： Ishtiaque, Farhan Miya, Mohammad Tohidul Islam Mashrur, Fazla Rabbi Rahman, Khandoker Mahmudur Vaidyanathan, Ravi Anwar, Syed Ferhat Sarker, Farhana Tat, Huam Hon Hamid, Abu Bakar Abdul Mamun, Khondaker A. AIMS Lab IIRIC UIU Dhaka Bangladesh School of Business and Economics United International University Dhaka Bangladesh Department of Biomedical Engineering University of Rochester RochesterNY United States Department of Mechanical Engineering Imperial College London London United Kingdom Office of the Vice Chancellor BRAC University Dhaka Bangladesh and Department of Computer Science and Engineering Independent University Bangladesh Dhaka Bangladesh Faculty of Business City University of Macau Taipa China Faculty of Business Information & Human Sciences Infrastructure University Kuala Lumpur Kuala Lumpur Malaysia Department of CSE United International University Dhaka Bangladesh

Evaluation of marketing stimuli such as static advertisements, video advertisements, promotions, etc. is an important part of marketing research. Traditionally, the evaluation is done through large surveys, focus group discussions, questioner-based surveys, etc. However, these methods are time-consuming and expensive. Here, neuromarketing offers a solution that can improve marketing research. Recently, several EEG-based neuromarketing studies proved the potential of neuromarketing as a marketing research tool. However, most of these researchers used research-grade EEG devices. Research-grade EEG devices are bulky and require high setup time. This is why, despite much successful research, the technology is yet to be implemented on a day-to-day basis. On the other hand, consumer-grade BCI devices are cheap, wearable, and offer little to no setup time. So, it is ideal for day-to-day implementation. However, consumer-grade BCI lacks in terms of signal quality and available channel number, and it has not been widely tested in neuromarketing. So, in this study, we compared a research-grade EEG device and a consumer-grade BCI device for consumers’ preference prediction using a machine learning framework. We designed an experiment to record participants' EEG data while they were shown marketing stimuli. Their response has been taken as affective attitude (AA) purchase intention (PI). After that, binary classification was performed. We achieved 80.71% and 82.07% accuracy for predicting purchase intention and affective attitude using the research-grade EEG device, whereas it was 78.31% and 81.23% using the consumer-grade BCI device. These findings prove that consumer-grade BCI can be a viable option for day-to-day usage in neuromarketing. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Sales

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Towards Understanding Interactive Sonic Gastronomy with Chefs and Diners 25

Towards Understanding Interactive Sonic Gastronomy with Chef...

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Proceedings of the 2025 CHI Conference on human Factors in Computing Systems

作者： Hongyue Wang Jialin Deng Linjia He Nathalie Overdevest Ryan Wee Yan Wang Phoebe O. Toups Dugas Don Samitha Elvitigala Florian Floyd Mueller Exertion Games Lab Department of Human-Centred Computing Monash University Melbourne Australia Exertion Games Lab Department of Human-Centred Computing Monash University Melbourne Australia and Diverse-ability Interaction Lab School of Computer Science Bristol United Kingdom Exertion Games Lab Department of Human-Centred Computing Monash University Melbourne Australia and Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia Exertion Games Lab Department of Human-Centred Computing Monash University Melbourne Australia and Mineral Resources Commonwealth Scientific and Industrial Research Organisation Melbourne Australia

ISBN: (纸本)9798400713941

With advancements in interactive technologies, research in human-food interaction (HFI) has begun to employ interactive sound to enrich the dining experience. However, chefs' creative use of this sonic interactivity as a new "ingredient"in their culinary practices remains underexplored. In response, we conducted an empirical study with six pairs of chefs and diners utilizing SoniCream, an ice cream cone that plays digital sounds while consuming. Through exploration, creation, collaboration, and reflection, we identified four themes concerning culinary creativity, dining experience, interactive sonic gastronomy deployment, and chef-diner interplay. Building on the discussions at the intersection of these themes, we derived four design implications for creating interactive systems that could support chefs' culinary creativity, thereby enriching dining experiences. Ultimately, our work aims to help interaction designers fully incorporate chefs' perspectives into HFI research. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： human-food interaction

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Bridging Borders, Breaking Biases: Envisioning Technologies to Support North Korean Defectors in South Korea 25

Bridging Borders, Breaking Biases: Envisioning Technologies ...

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Proceedings of the 2025 CHI Conference on human Factors in Computing Systems

作者： Hayoun Noh Hyunah Jo Ge Wang Max Van Kleek Younah Kang Department of Computer Science University of Oxford Oxford United Kingdom Yonsei University Seoul Republic of Korea Institute for Human-Centered Artificial Intelligence (HAI) Stanford University Stanford California USA Information and Interaction Design Yonsei University Seoul Republic of Korea

ISBN: (纸本)9798400713941

North Korean defectors (NKDs) face significant challenges when transitioning to South Korean society. Leaving their homes permanently and adapting to a new, digitally connected environment for the first time presents difficulties, compounded by the pervasive stigma associated with their identities. Although technology alone cannot solve these issues, it can play a role in easing their transition. In this study, we conducted eight speculative co-creation sessions with 22 NKDs to identify their main challenges and envision potential technological interventions. We propose conceptualization of thirteen technologies aimed at addressing key issues NKDs face related to identity stigma, disconnection from their past, and challenges of adapting to a highly digital society. Through this empirical research on underrepresented populations undergoing significant life transitions, we provide insights into how future technologies can support other marginalized individuals as they navigate pervasive stigma and establish new lives in a digital society. © 2025 Copyright held by the owner/author(s).

关键词： Envisioning Technologies

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Raise Your Eyebrows Higher: Facilitating Emotional Communication in Social Virtual Reality Through Region-Specific Facial Expression Exaggeration 25

Raise Your Eyebrows Higher: Facilitating Emotional Communica...

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Proceedings of the 2025 CHI Conference on human Factors in Computing Systems

作者： Xueyang Wang Sheng Zhao Yihe Wang Howard Ziyu Han Xinge Liu Xin Yi Xin Tong Hewu Li Institute for Network Sciences and Cyberspace Tsinghua University Beijing China and Zhongguancun Laboratory Beijing China Weiyang College Tsinghua University Beijing China Department of Computer Science and Technology Tsinghua University Beijing China Human-Computer Interaction Institute Carnegie Mellon University pittsburgh Pennsylvania USA Department of Computer Science and Technology Tsinghua University Beijing China and Beijing National Research Center for Information Science and Technology Beijing China Thrust of Computational Media and Arts Hong Kong University of Science and Technology (Guangzhou) Guangzhou China

ISBN: (纸本)9798400713941

While exaggerated facial expressions in cartoon avatars can enhance emotional communication in social virtual reality (VR), they risk triggering the uncanny valley effect. Our research reveals that this effect varies significantly across different emotions. In Study 1 (N=30), participants evaluated scaled facial expressions during simulated VR conversations. We found that expression exaggeration had opposing effects: it decreased facial realism for joy, surprise, and disgust due to overly dramatic mouth movements, while enhancing realism for fear, sadness, and anger - emotions that rely on upper facial expressions typically constrained by HMD pressure. Based on these findings, we developed a region-specific facial expression exaggeration strategy that enhances under-expressed upper facial features while maintaining natural lower facial movements. Study 2 (N=20) validated this approach, demonstrating enhanced emotional intensity and contagion for negative emotions while mitigating the uncanny valley effect. Our research provides practical guidelines for optimizing avatar-mediated emotional communication in social VR environments. © 2025 Copyright held by the owner/author(s).

关键词： Social Virtual Reality

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