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Assessment of Students' Feedback Behavior in A Game-Based Automated Feedback System-A Cross-Cultural Replication Study

In this paper, we argue for the importance of conducting replication studies over various schools and countries when addressing topics about learning and instruction and propose educational technology to be a tool for this endeavor. We present an example of a cross-cultural replication study that makes use of educational technology in the form of a digital game-based automated feedback system. The

Global Hyperorgan : A platform for telematic musicking and research

The Global Hyperorgan is an intercontinental, creative space for acoustic musicking. Existing pipe organs around the world are networked for real-time, geographicallydistant performance, with performers utilizing instruments and other input devices to collaborate musically through the voices of the pipes in each location. A pilot study was carried out in January 2021, connecting two large pipe org

INNOCROSSLAM : Adding knowledge towards increased use of cross laminated timber (CLT)

The research project Innovative Solutions for Cross Laminated Timber Structures (InnoCrossLam) wasrecently finished. The project aimed at increasing the competitiveness of CLT as a versatile engineered product, byincreasing its predictability in demanding design situations not covered by the guidelines of today, or standards and codesforeseeable in the near future (e.g., second generation of Europ

Acoustop horesis pre-alignment of cells enables labelfree enrichment of prostate cancer cells in blood

We have developed a microfluidic chip for isolation of circulating tumor cells (CTCs) in blood based on microchannel acoustophoresis. Ultrasound radiation forces are used to separate cancer cells from blood cells in a continuous flow format. Separation was dramatically improved after incorporation of a 2-dimensional acoustic pre-alignment of the cells before entering the acoustophoresis separation

Zenseact Open Dataset : A large-scale and diverse multimodal dataset for autonomous driving

Existing datasets for autonomous driving (AD) often lack diversity and long-range capabilities, focusing instead on 360° perception and temporal reasoning. To address this gap, we introduce Zenseact Open Dataset (ZOD), a large- scale and diverse multimodal dataset collected over two years in various European countries, covering an area 9×that of existing datasets. ZOD boasts the highest range and

Pilot Study for Early Screening of Autism Spectrum Disorder Using Baby Cry

We developed an algorithm for the early screening of autism spectrum disorder using baby cry sound. We collected the sound using a smartphone application to record it in their daily life. We employed the Japanese version of the Modified Checklist for Autism in Toddlers (M-CHAT) for the evaluation of the autism spectrum. We built a prediction model for binary classification using least absolute shr

A Framework for Evaluating Enterprise Systems Implementation Methodologies in Action

Abstract in UndeterminedEnterprise Systems (ES) are often the largest and most important Information Systems (IS) an organization employs. Most ES are rented or bought as COTS (Commercial Off The Shelf) software. The use of COTS leads to a distinction between the development of the ES software—done by ES software providers, like SAP and Microsoft—and the implementation of ES software in a specific

A Conceptual Model for Analysis of Marine Incidents Reported to the Swedish Maritime Administration Database

The purpose of this paper is to propose a conceptual model for analysis of marine incidents reported to the Swedish Maritime Administration (SMA)/ SOS database. The model is designed based on a systems approach. The model is theoretically and empirically grounded by combining (i) modelling, and accident and risk analysis techniques and theories; (ii) large amounts of empirical data; (iii) and rese

Strategy for predicting railway-induced vibrations in buildings

Urban densification is a way of accommodating population growth. Land adjacent to railways is used for constructing residences and other buildings, and new tramway systems are planned. Under these circumstances, nearby buildings will be exposed to vibrations and noise that may become a nuisance for the residents. It is necessary, even at an early stage of planning, to assess the extent of the vibr

A cyber-physical systems approach for controlling autonomous mobile manipulators

Cognitive robots have started to find their way into manufacturing halls. However, the full potential of these robots can only be exploited through an integration into the automation pyramid so that the system is able to communicate with the manufacturing execution system (MES). Integrating the robot with the MES allows the robot to get access to manufacturing environment and process data so that Cognitive robots have started to find their way into manufacturing halls. However, the full potential of these robots can only be exploited through an integration into the automation pyramid so that the system is able to communicate with the manufacturing execution system (MES). Integrating the robot with the MES allows the robot to get access to manufacturing environment and process data so that

Integrating structural health and condition monitoring : A cost benefit analysis for offshore wind energy

There is a large financial incentive to minimise operations and maintenance (O&M) costs for offshore wind power by optimising the maintenance plan. The integration of condition monitoring (CM) and structural health monitoring (SHM) may help realise this. There is limited work on the integration of both CM and SHM for offshore wind power or the use of imperfectly operating monitoring equipment.

Effect of different inspection strategies on the reliability of daniels systems subjected to fatigue

Inspections are an efficient means of enhancing the reliability of redundant structural systems subjected to fatigue.To investigate the effect of such inspections, we represent the deterioration state of a Daniels system by means of a probabilistic fatigue crack growth model of all elements, which considers stochastic dependence among element fatigue behavior. We include inspection results in the

SHM strategies, application and measurements on tripod offshore wind energy converters within the German offshore park Alpha Ventus

Prototypes of wind turbines of the megawatt class are to be built and tested until 2008 within a German offshore wind energy test field in the North Sea (ALPHA VENTUS). To ensure a high operational reliability of offshore wind turbines with economically acceptable repair and maintenance efforts, comprehensive diagnosis and supervision concepts are required. Automatic monitoring systems will be an