检索结果-内蒙古大学图书馆

7th ACM SIGCHI Annual Symposium on computer-human interaction in Play, CHI PLAY 2020

作者： McKitrick, Brian Department of Human-Computer Interaction University of Melbourne School of Engineering MelbourneVIC Australia

ISBN: (纸本)9781450375870

Let's Plays (or LPs) are recordings of video gameplay with commentary from the player, that are then shared online for others to view. The creation and sharing of Let's Play content has grown significantly over the last decade. Several of the most popular channels on YouTube, with millions of subscribers consuming their content on a daily basis, feature LPs. However, while there is some research on the ways by which YouTube content creators operate, the origins of LP as a genre/paratextual artifact, and by extension the community that originated its practice, have not been fully documented. This knowledge gap makes it difficult for scholars to fully comprehend the historical context of this form of creative expression, and the influence it has had on contemporary online entertainment media. To address this, the first and longest running LP community, the Something Awful LP subforum, will be examined through data analysis and ethnographic approaches. Part of this work will be to analyze and define LP as a paratextual artifact, and how the cultural practices of the community produce those artifacts. With those concepts in place, this research will then examine how platform systems, such as YouTube, the Something Awful forums, and streaming services, have changed the ways in which LPs are created, shared, and engaged with by the community. By documenting the history of the LP community, the reasons why people join it, and the practices by which they make LPs, future scholars and companies will be better equipped to engage with these growing communities. © 2020 Owner/Author.

关键词： Interactive computer graphics

来源：评论

学校读者我要写书评

暂无评论

Study on the Temporal Patterns of CA1 Pyramidal Neuron Activity in Mice Hippocampus under Simulated Spaceflight Composite Environment

Study on the Temporal Patterns of CA1 Pyramidal Neuron Activ...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Shufan Sun Jing Ren Meiling Zhao Ling Wang Chenguang Zheng Jiajia Yang Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Brain-Computer Interaction and Human-Machine Fusion Haihe Laboratory Tianjin University Tianjin China Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin University Tianjin China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

With the gradual realization of manned spaceflight goals, the physical and mental health of astronauts has become a core concern. Numerous studies in recent years have indicated that the aerospace special environment (ASE) can lead to alterations in astronaut cognitive function. However, the adaptive changes in neuronal activity underlying these alterations remain unclear. This study utilized animal models and two-photon imaging technology to investigate the adaptive changes in the activity characteristics and synchronicity of pyramidal neurons in the CA1 region of the mice hippocampus under simulated spaceflight composite environment (SSCE). The results indicate that, with prolonged modeling time, the number of active pyramidal neurons in the CA1 region gradually decreases. Significant reductions in both the frequency and amplitude of neuronal calcium transients occur, stabilizing at lower levels. The calcium transient decay constant extends, and significant decorrelation in neuronal calcium activity is observed. Thus, we posit that these changes may constitute crucial factors leading to the alterations in individual cognitive function induced by the aerospace special environment.

关键词： Adaptation models Calcium Neurons Neural networks Mental health Information processing Mice Decorrelation Transient analysis Hippocampus

来源：评论

学校读者我要写书评

暂无评论

LESA: Learnable LLM Layer Scaling-Up

arXiv

引用

arXiv 2025年

作者： Yang, Yifei Cao, Zouying Ma, Xinbei Yao, Yao Qin, Libo Chen, Zhi Zhao, Hai Department of Computer Science and Engineering Shanghai Jiao Tong University China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University China Shanghai Key Laboratory of Trusted Data Circulation and Governance in Web3 China School of Computer Science and Engineering Central South University China ByteDance China

Training Large Language Models (LLMs) from scratch requires immense computational resources, making it prohibitively expensive. Model scaling-up offers a promising solution by leveraging the parameters of smaller models to create larger ones. However, existing depth scaling-up methods rely on empirical heuristic rules for layer duplication, which result in poorer initialization and slower convergence during continual pre-training. We propose LESA, a novel learnable method for depth scaling-up. By concatenating parameters from each layer and applying Singular Value Decomposition, we uncover latent patterns between layers, suggesting that inter-layer parameters can be learned. LESA uses a neural network to predict the parameters inserted between adjacent layers, enabling better initialization and faster training. Experiments show that LESA outperforms existing baselines, achieving superior performance with less than half the computational cost during continual pre-training. Extensive analyses demonstrate its effectiveness across different model sizes and tasks.1 Copyright © 2025, The Authors. All rights reserved.

关键词： Multilayer neural networks

来源：评论

学校读者我要写书评

暂无评论

Sonic Delights: Exploring the Design of Food as An Auditory-Gustatory Interface 25

Sonic Delights: Exploring the Design of Food as An Auditory-...

引用

2025 CHI Conference on human Factors in Computing Systems, CHI 2025

作者： Deng, Jialin Li, Yinyi Wang, Hongyue Fang, Ziqi Mueller, Florian School of Computer Science University of Bristol Bristol United Kingdom Exertion Games Lab Department of Human-Centred Computing Monash University Melbourne VIC Australia Royal College of Art London United Kingdom Imperial College London London United Kingdom

ISBN: (纸本)9798400713941

While interest in blending sound with culinary experiences has grown in human-Food interaction (HFI), the significance of food's material properties in shaping sound-related interactions has largely been overlooked. This paper explores the opportunity to enrich the HFI experience by treating food not merely as passive nourishment but as an integral material in computational architecture with input/output capabilities. We introduce "Sonic Delights,"where food is a comestible auditory-gustatory interface to enable users to interact with and consume digital sound. This concept redefines food as a conduit for interactive auditory engagement, shedding light on the untapped multisensory possibilities of merging taste with digital sound. An associated study allowed us to articulate design insights for forthcoming HFI endeavors that seek to weave food into multisensory design, aiming to further the integration of digital interactivity with the culinary arts. © 2025 Copyright held by the owner/author(s).

关键词： Edible Interface Food Design human-Food interaction

来源：评论

学校读者我要写书评

暂无评论

THE EXTRACTIVE-ABSTRACTIVE SPECTRUM: UNCOVERING VERIFIABILITY TRADE-OFFS IN LLM GENERATIONS

arXiv

引用

arXiv 2024年

作者： Worledge, Theodora Hashimoto, Tatsunori Guestrin, Carlos Computer Science Department Stanford University United States Stanford Institute for Human-Centered Artificial Intelligence United States Chan Zuckerberg Biohub United States

Across all fields of academic study, well-respected experts cite their sources when sharing information. While large language models (LLMs) excel at synthesizing information, they do not provide reliable citation to sources, making it difficult to trace and verify the origins of the information they present. In contrast, search engines make sources readily accessible to users and place the burden of synthesizing information on the user. Through a survey, we find that users prefer search engines over LLMs for high-stakes queries, where concerns regarding information provenance outweigh the perceived utility of LLM responses. To rigorously examine the interplay between the verifiability and utility of information-sharing tools, we introduce the extractive-abstractive spectrum, in which search engines and LLMs are extreme endpoints encapsulating multiple unexplored intermediate operating points. Search engines are extractive because they respond to queries with snippets of sources with links (citations) to the original webpages. LLMs are abstractive because they address queries with answers that synthesize and logically transform relevant information from training and in-context sources without reliable citation. We define five operating points that span the extractive-abstractive spectrum and conduct human evaluations on seven systems across four diverse query distributions that reflect real-world QA settings: web search, language simplification, multi-step reasoning, and medical advice. As outputs become more abstractive, we find that perceived utility improves by as much as 200%, while the proportion of properly cited sentences decreases by as much as 50% and users take up to 3 times as long to verify cited information. Our findings recommend distinct operating points for different domain-specific LLM systems. Additionally, our failure analysis informs strategies for citation identification following generation, information retrieval tasks specific to citations, and

关键词： Query languages

来源：评论

学校读者我要写书评

暂无评论

Implementation of a Hip Fracture Classification Network Based on CT Tomography Scans 10

Implementation of a Hip Fracture Classification Network Base...

引用

10th International Conference on computer and Communications, ICCC 2024

作者： Zhao, Kui Yang, Meng Zhang, Ti Hu, Die Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin Shenyang China University of Chinese Academy of Science Shenyang China Peking University Third Hospital Department of Orthopedics Beijing China

Hip fractures is the most common hip clinical trauma. The majority of elderly patients experience a decrease in bone density due to osteoporosis, making them highly prone to various types of hip fractures. In this context, accurate diagnosis and classification of hip fractures are crucial for guiding clinical decision-making and ensuring the best possible patient outcomes. The BV C- N et proposed in this study is a two-stage model for the identification of hip fracture types, which is based on the integration of the V-Net and ConvNeXt architectures. First, deep learning segmentation model is trained to generate candidate fracture regions, and then, a deep learning classification model is trained in the second stage to classify the segmented local fracture regions according to the candidate fracture regions generated in the first stage to ascertain the type of fracture. The results show that the two-stage deep learning model proposed in this study enhances the accuracy of hip fracture type recognition and reduces the time required for manual classification, which can better assist doctors in fracture region recognition. © 2024 IEEE.

关键词： Classification ConvNeXt Hip Fracture Segmentation V-Net

来源：评论

学校读者我要写书评

暂无评论

Special Issue of Selected Papers from the 29th International Symposium on Graph Drawing and Network Visualization (GD 2021) Guest Editors’ Foreword

引用

Journal of Graph Algorithms and Applications 2023年第2期27卷 45-47页

作者： Rutter, Ignaz Purchase, Helen Faculty of Computer Science and Mathematics University of Passau Passau Germany Department of Human Centred Computing Monash University Melbourne Australia

来源：评论

学校读者我要写书评

暂无评论

MAGNET: A Modality-Agnostic Network for 3d Medical Image Segmentation

MAGNET: A Modality-Agnostic Network for 3d Medical Image Seg...

引用

IEEE International Symposium on Biomedical Imaging

作者： A. Qisheng He B. Ming Dong C. Nicholas Summerfield D. Carri Glide-Hurst Department of Computer Science Wayne State University Detroit MI Department of Human Oncology Department of Medical Physics University of Wisconsin-Madison Madison WI

In this paper, we proposed MAGNET, a novel modality-agnostic network for 3D medical image segmentation. Different from existing learning methods, MAGNET is specifically designed to handle real medical situations where multiple modalities/sequences are available during model training, but fewer ones are available or used at time of clinical practice. Our results on multiple datasets show that MAGNET trained on multi-modality data has the unique ability to perform predictions using any subset of training imaging modalities. It outperforms individually trained uni-modality models while can further boost performance when more modalities are available at testing.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Shaping Romance: Mediating Intimacy for Co-located Couples 21

Shaping Romance: Mediating Intimacy for Co-located Couples

引用

Proceedings of the 33rd Australian Conference on human-computer interaction

作者： Anne Ellegaard Christensen Malene H. Magnussen Tobias S. Seindal Dimitrios Raptis Department of Computer Science/Human-Centred Computing Group Aalborg University Denmark

ISBN: (纸本)9781450395984

During recent years multiple studies focused on how to mediate the intimacy of couples over distance by researching various intimacy aspects, such as physical contact and disclosure. At the same time, mediating intimacy for co-located couples remains relatively unexplored. Our paper focuses on this and presents an empirical field study involving 13 co-located couples that interacted with a technology probe titled ‘Shaping Romance’. In short, our qualitative findings show that technology can mediate intimacy by allowing partners to look inwards and reflect on their own desires, look outwards and reflect on the desires of their partner, and look at the whole by remembering, acting and validating. Our contributions to HCI are the technological intervention itself, our findings which highlight limitations and opportunities technology has for mediating the intimacy of co-located couples, and a design space full of dilemmas that we present for future researchers and designers.

关键词： technology probe dilemmas disclosure physicality co-located couples design space togetherness field study intimacy

来源：评论

学校读者我要写书评

暂无评论

Transcriptomic Study of Neural Regulation in the Medial Prefrontal Cortex of Depressive Mice with Low-Intensity Focused Ultrasound

Transcriptomic Study of Neural Regulation in the Medial Pref...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Qiuquan Cai Lianghui Meng Ling Wang Jing Ren Jiajia Yang Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Brain-Computer Interaction and Human-Machine Fusion Haihe Laboratory Tianjin University Tianjin China Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin University Tianjin China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Exploring new effective treatments for depression holds important social significance and clinical value. Low-intensity focused ultrasound stimulation (LIFUS) has been proven to have significant neuroprotective effects on depression. However, the specific genes regulated by LIFUS in depressive mice remain unclear. We established a depression mice model using chronic restraint stress (CRS) and applied LIFUS to the medial prefrontal cortex (mPFC) following CRS. We explored the impact of modeling and treatment on gene expression changes through transcriptomics, revealing that the therapeutic effect of LIFUS may be associated with the improvement of the activity of calcium signaling pathway and synaptic plasticity. The study provides preclinical evidence and a theoretical basis for applying LIFUS for depression treatment.

关键词： Ultrasonic imaging Calcium Transcriptomics Depression Brain modeling Mice Regulation Gene expression Synapses Stress

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：