13197 research outputs found
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Hyperspectral Imaging for the Digital Preservation of Stained Glass Windows
Get PDF奈良先端科学技術大学院大学博士(工学)doctoral thesi
ActiveAR : Augmented Reality Task Support System with Proactive Context and Virtual Content Management
Get PDF奈良先端科学技術大学院大学博士(工学)doctoral thesi
Developing Dense Wireless Signal and Magnetic Field Mapping Tool
No full textIn indoor localization, many researchers use localization methods based on combined data (fingerprints, FPs) of the coordinates of a point and the sensor values measured at that point. However, many current methods rely on human labor to collect the data and are not applicable to large-scale indoor spaces. Using the Visual SLAM method for localization, this study proposes an FP measurement method that can efficiently collect high-density FPs even in large indoor spaces.conference pape
Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer
No full textBackground:
Breast cancer affects the lives of not only those diagnosed but also the people around them. Many of those affected share their experiences on social media. However, these narratives may differ according to who the poster is and what their relationship with the patient is; a patient posting about their experiences may post different content from someone whose friends or family has breast cancer. Weibo is 1 of the most popular social media platforms in China, and breast cancer$2013related posts are frequently found there.
Objective:
With the goal of understanding the different experiences of those affected by breast cancer in China, we aimed to explore how content and language used in relevant posts differ according to who the poster is and what their relationship with the patient is and whether there are differences in emotional expression and topic content if the patient is the poster themselves or a friend, family member, relative, or acquaintance.
Methods:
We used Weibo as a resource to examine how posts differ according to the different poster-patient relationships. We collected a total of 10,322 relevant Weibo posts. Using a 2-step analysis method, we fine-tuned 2 Chinese Robustly Optimized Bidirectional Encoder Representations from Transformers (BERT) Pretraining Approach models on this data set with annotated poster-patient relationships. These models were lined in sequence, first a binary classifier (no_patient or patient) and then a multiclass classifier (post_user, family_members, friends_relatives, acquaintances, heard_relation), to classify poster-patient relationships. Next, we used the Linguistic Inquiry and Word Count lexicon to conduct sentiment analysis from 5 emotion categories (positive and negative emotions, anger, sadness, and anxiety), followed by topic modeling (BERTopic).
Results:
Our binary model (F1-score=0.92) and multiclass model (F1-score=0.83) were largely able to classify poster-patient relationships accurately. Subsequent sentiment analysis showed significant differences in emotion categories across all poster-patient relationships. Notably, negative emotions and anger were higher for the “no_patient” class, but sadness and anxiety were higher for the “family_members” class. Focusing on the top 30 topics, we also noted that topics on fears and anger toward cancer were higher in the “no_patient” class, but topics on cancer treatment were higher in the “family_members” class.
Conclusions:
Chinese users post different types of content, depending on the poster- poster-patient relationships. If the patient is family, posts are sadder and more anxious but also contain more content on treatments. However, if no patient is detected, posts show higher levels of anger. We think that these may stem from rants from posters, which may help with emotion regulation and gathering social support.journal articl
Effects of Eye Vergence and Accommodation on Interactions with Content on an AR Magic-lens Display and its Surroundings
No full textAugmented reality (AR) magic-lens (ML) displays, such as handheld devices, offer a convenient and accessible way to enrich our environment using virtual imagery. Several display technologies, including conventional monocular, less common stereoscopic, and varifocal displays, are currently being used. Vergence and accommodation effects on depth perception, as well as vergence2013accommodation conflict did not significantly affect the cognitive-task load nor play a pivotal role in the accuracy of interactions with AR ML content and its physical surroundings.journal articl
Cause or effect: Probing the roles of epigenetics in plant development and environmental responses
No full textEpigenetic modifications are inheritable, reversible changes that control gene expression without altering the DNA sequence itself. Recent advances in epigenetic and sequencing technologies have revealed key regulatory regions in genes with multiple epigenetic changes. However, causal associations between epigenetic changes and physiological events have rarely been examined. Epigenome editing enables alterations to the epigenome without changing the underlying DNA sequence. Modifying epigenetic information in plants has important implications for causality assessment of the epigenome. Here, we briefly review tools for selectively interrogating the epigenome. We highlight promising research on site-specific DNA methylation and histone modifications and propose future research directions to more deeply investigate epigenetic regulation, including cause-and-effect relationships between epigenetic modifications and the development/environmental responses of Arabidopsis thaliana.journal articl
キギョウメイ ノ ルイジド ニ モトズク ニッケイ キギョウ ID リンキリング システム ノ コウチク ト ブンセキ
No full text日本経済新聞社では，経済分野を中心とした新聞記事と日経企業 DB を保有している．エンティティリンキングを用いて，新聞記事に出現する企業名を日経企業 DB に結び付けることで，特定企業に関する高度な情報抽出への応用に期待ができる．そこで本論文では，新聞記事に出現する企業名と日経企業 ID のリンキングを目的とした，日経企業 ID リンキングシステムを構築する．具体的には，日本経済新聞の新聞記事に記述される企業名に日経企業 ID を付与したデータセットを作成し，企業名抽出モデルと類似度ベースエンティティリンキングモデルから成るパイプラインシステムを実装する．本データセットを用いた評価実験の結果，提案システムは既存システムを上回るリンキング性能を示すことを確認した．さらに，企業 ID リンキング特有の技術的困難性を整理し，提案システムの課題について議論する．journal articl