BookTubing Across Regions: Examining Differences based on Nonverbal and Verbal Cues

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The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...

Purpose: Despite being an authentic carrier of various cultural practices, the human body is often underutilised to access the knowledge of human body. Digital inventions today have created new avenues to open up cultural data resources, yet mainly as appa ...

Can living near a national border have an effect on the politicization of individuals? To answer this question, this article challenges the results put forward by some European Border Studies scholars granting the border a major role in the construction of ...

Machine Translation (MT) has made considerable progress in the past two decades, particularly after the introduction of neural network models (NMT). During this time, the research community has mostly focused on modeling and evaluating MT systems at the se ...

The chapter explores the social and historic construction of heritage and the role played in this by institutions, from an anthropological perspective. Since state members ratified the UNESCO Conventions, national inventories have been collated so that can ...

Through the years, mineralogical studies have produced a tremendous amount of data on the atomic arrangement and mineral properties. Quite often, structural analysis has led to elucidate the role played by minor components, giving interesting insights into ...

The curation of neuroscience entities is crucial to ongoing efforts in neuroinformatics and computational neuroscience, such as those being deployed in the context of continuing large-scale brain modelling projects. However, manually sifting through thousa ...

This article proposes a novel feature-extraction framework for inferring impression personality traits, emergent leadership skills, communicative competence, and hiring decisions. The proposed framework extracts multimodal features, describing each partici ...

Real-time workload estimation can be an important tool to improve human-machine interaction. Despite multiple efforts in this sense, most studies focused on tasks designed to have extreme conditions of workload (high vs low), and these levels remain rather ...

While artificial intelligence is successful in many applications that cover specific domains, for many commonsense problems there is still a large gap with human performance. Automated sentiment analysis is a typical example: while there are techniques tha ...

Colloid stability is of high importance in a multitude of fields ranging from food science to biotechnology. There is strong interest in studying the stability of small particles (of a size of a few nanometres) with complex surface structures, that make th ...

The ubiquity of social media in our daily life, the intense user participation, and the explosion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand human ...

Twitter is a popular micro-blogging service on theWeb, where people can enter short messages, which then become visible to some other users of the service. While the topics of these messages varies, there are a lot of messages where the users express their ...

This paper reports on the effective use of capillary self-alignment for low-cost and time-efficient assembly of heterogeneous foil components into a smart electronic identification label. Particularly, we demonstrate the accurate (better than 50 μm) alignm ...

This paper introduces a new facet of social media, namely that depicting social interaction. More concretely, we address this problem from the perspective of nonverbal behavior-based analysis of competitive meetings. For our study, we made use of "The Appr ...

Automatic analysis of social interactions attracts increasing attention in the multimedia community. This paper considers one of the most important aspects of the problem, namely the roles played by individuals interacting in different settings. In particu ...

We describe a method for the online classification of sleep/wake states based on cardiorespiratory signals produced by wearable sensors. The method was conceived in view of its applicability to a wearable sleepiness monitoring device. The method uses a Fas ...

The complexity of processes occurring in the brain is an intriguing issue not just for scientists and medical doctors, but the humanity in general. The cortex ability to perceive and analyze an enormous amount of information in an instance of time, the par ...

The suitability of peer-to-peer (P2P) approaches for full-text Web retrieval has recently been questioned because of the claimed unacceptable bandwidth consumption induced by retrieval from very large document collections. In this contribution we formalize ...

We have developed a learning platform to simplify and improve teaching and practice of computer graphics for beginners and advanced students. Our goal is to offer a set of tools to help students having a better mental vision of the abstract notions introdu ...

BookTubing Across Regions: Examining Differences based on Nonverbal and Verbal Cues

Chat with Graph Search

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Unlocking a multimodal archive of Southern Chinese martial arts through embodied cues

More than a border effect. Ordinary politicization and struggles of belonging in a Swiss border municipality

Discourse Phenomena in Machine Translation

The Social Life of Heritage-Making: Cultural Representations and Frictions

Producing highly complicated materials. Nature does it better

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

Modeling Dyadic and Group Impressions with Inter-Modal and Inter-Person Features

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Acquiring Broad Commonsense Knowledge for Sentiment Analysis Using Human Computation

Co-precipitation of oppositely charged nanoparticles: the case of mixed ligand nanoparticles

Mining Conversational Social Video

Entity-based Classification of Twitter Messages

Capillary Self-Alignment of Mesoscopic Foil Components for Sensor-Systems-in-Foil

Inferring competitive role patterns in reality TV show through nonverbal analysis

Automatic Role Recognition in Multiparty Recordings: Using Social Affiliation Networks for Feature Extraction

Sleep and Wake Classification With ECG and Respiratory Effort Signals

Motor intention in the posterior parietal cortex : experimental data analysis and functional modeling study

Scalable Peer-to-Peer Web Retrieval with Highly Discriminative Keys

Mental vision: a computer graphics teaching platform