A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program

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The ongoing war in Ukraine has profoundly impacted the Ukrainian scientific community. Numerous researchers have either emigrated or transitioned to alternate professions. For those who remain in research, the destruction of civil infrastructure and psycho ...

The dataset supporting 'Fiber pumps for wearable fluidic systems', published in Science in March 2023. In this work, we present a fluidic pump in the form of a flexible and stretchable tube. These tubes - or 'fiber pumps' - can generate significant fluidic ...

Selection bias may arise when data have been chosen in a way that subsequent analysis does not account for. Such bias can arise in climate event attribution studies that are performed rapidly after a devastating "trigger event'', whose occurrence correspon ...

Systems and methods for monitoring penile tumescence are provided that overcome the drawbacks of previously known systems by providing a wearable formed of a flexible and elastic tube having a plurality of sensors disposed on or embedded within it, the wea ...

The acquisition of survey responses is a crucial component in conducting research aimed at comprehending public opinion. However, survey data collection can be arduous, time-consuming, and expensive, with no assurance of an adequate response rate. In this ...

Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets. Unfortunately, the scarcity of such datasets poses a significan ...

The social discourse surrounding the climate emergency progressively infuses the society, transforming into both micro- and macro-social injunctions to change. Yet, society - grounded in a territorial, social, and cultural contingency - appears to resist t ...

Discovering new materials is essential but challenging, time-consuming, and expensive. In many cases, simulations can be useful for estimating material properties. For many of the most interesting properties, however, simulations are infeasible because of ...

Sexual harassment is prevalent at all levels of higher education and research and in all disciplines, which means that engineering education is no exception. Following the #MeToo movement, students have started to report cases of abuses publicly in our ins ...

A crucial building block of responsible artificial intelligence is responsible data governance, including data collection. Its importance is also underlined in the latest EU regulations. The data should be of high quality, foremost correct and representati ...

Self-tracking technologies open new doors to previously unimaginable scenarios. The diagnosis of diseases years in advance, or supporting the health of astronauts on missions to Mars are just some of many example applications. During the COVID-19 pandemic, ...

A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program

Chat with Graph Search

The effects of war on Ukrainian research

Research data supporting 'Fiber pumps for wearable fluidic systems'

Timing and spatial selection bias in rapid extreme event attribution

Tumescense monitoring system for diagnosing erectile dysfunction and methods of use

Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States

Dated: Guidelines for Creating Synthetic Datasets for Engineering Design Applications

Resistances to change in urban travel behaviors

Toward data-driven materials design: From atoms to pilot plants

Supporting Well-Being: A Digital Intervention Model for Disclosing Sexual Harassment in Higher Education

incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home