Navigating the validity tradeoffs of entrepreneurship research experiments: A systematic review and best-practice suggestions

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Novel usages of brain stimulation combined with artificially intelligent (AI) systems promise to address a large range of diseases. These new conjoined technologies, such as brain-computer interfaces (BCI), are increasingly used in experimental and clinica ...

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 ...

In the quest for low power bio-inspired spiking sensors, functional oxides like vanadium dioxide are expected to enable future energy efficient sensing. Here, we report uncooled millimeter-wave spiking detectors based on the sensitivity of insulator-to-met ...

Professionals in the building design and operation fields typically look at standards and guidelines as a reliable source of information and guidance with regard to procedural, contractual, and legal scope and requirements that are relevant to accountabili ...

The Byzantine consensus problem involves.. processes, out of which t < n could be faulty and behave arbitrarily. Three properties characterize consensus: (1) termination, requiring correct (nonfaulty) processes to eventually reach a decision, (2) agreement ...

Minimax-fair machine learning minimizes the error for the worst-off group. However, empirical evidence suggests that when sophisticated models are trained with standard empirical risk minimization (ERM), they often have the same performance on the worst-of ...

The nitrogen-vacancy (NV) center in diamond is a powerful and versatile quantum sensor for diverse quantities. In particular, relaxometry (or T1), can be used to detect magnetic noise at the nanoscale. For experiments with single NV centers the analysis of ...

When studying discomfort glare, researchers tend to rely on a single questionnaire item to obtain user evaluations. It is unclear whether the choice of questionnaire item affects the distribution of user responses and leads to inconsistencies between studi ...

A spring mass model is often used to describe human running, allowing to understand the concept of elastic energy storage and restitution. The stiffness of the spring is a key parameter and different methods have been developed to estimate both the vertica ...

The drive to develop cartilage implants for the treatment of major defects in the musculoskeletal sys-tem has resulted in a major research thrust towards developing biomaterial devices for cartilage repair. Investigational devices for the restoration of ar ...

The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought about ne ...

Navigating the validity tradeoffs of entrepreneurship research experiments: A systematic review and best-practice suggestions

Chattez avec Graph Search

How I became myself after merging with a computer: Does human-machine symbiosis raise human rights issues?

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

Millimeter-wave to near-terahertz sensors based on reversible insulator-to-metal transition in VO2

Thermal Conditions in Indoor Environments: Exploring the Reasoning behind Standard-Based Recommendations

On the Validity of Consensus

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Optimizing Data Processing for Nanodiamond Based Relaxometry

Comparison of questionnaire items for discomfort glare studies in daylit spaces

Vertical and Leg Stiffness Modeling During Running: Effect of Speed and Incline

A guide to preclinical evaluation of hydrogel-based devices for treatment of cartilage lesions

On Artificial Intelligence and Manipulation