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Natural Language Response Formats for Assessing Depression

OBJECTIVE:Recent advances in AI-based Large Language Models (LLM) can transform individuals’ descriptions of emotional health into numeric representations that predict rating scales with an accuracy approaching theoretical upper limits. This advancement enables examing various open-ended response formats. We develop and evaluate formats ranging from closed to more open: 1) selecting descriptive wo

The Noise of Unheard Sounds : Donald D. Hoffman, Chetan Prakash, and Nick Bostrom on the Subjectivity of Being

This article examines the emergence of idealism in evolutionary cognitive science by analyzing the conscious realism of the cognitive theorist Donald D. Hoffman and the mathematician Chetan Prakash. Perception is for them not about veridical experience, but rather a mechanism for survival. It helps us survive but does not give us access to reality as such. By relating Hoffman and Prakash's conscio

Degree of certainty in scientific advice: implications for risk management and communication : Event report on a training workshop on uncertainty with risk managers

As part of its commitment to transparency, the European Food Safety Authority (EFSA) has been developing improved approaches to assessing uncertainty and expressing the degree of certainty in its scientific outputs. The objectives of this workshop were to review and improve the provision of this information by EFSA and its usefulness for risk managers, and to help risk managers to interpret and us

Analyzing political formation through historical isiXhosa text analysis: Using frequency analysis to examine emerging African Nationalism in South Africa

This paper showcases new research avenues made possible by applying computational methods to historical isiXhosa text. I outline a method for isiXhosa computational text analysis which adapts word frequency analysis to be applied to isiXhosa texts focusing on root words. The paper showcases the value of the approach in a study of emerging political identities in early African nationalism, examinin

Prediction of energy generation target of hydropower plants using artificial neural networks

Hydropower is a renewable, reliable, and highly predictable source of energy. It has been used for centuries. The tariff of energy generation is divided into two parts: fixed charges and variable charges. Fixed charges are based on the availability of machinery (i.e., plant availability factor) and variable charges are based on the actual energy generation. The energy generation targets are decide

Samarbete ger lyckat resultat

Ta några ingenjörsstudenter, släng in ett par kognitionsvetarstudenter och ge dem ett problem att lösa. Ut kommer interaktiva dataspel för skolan och robotar som kan imitera människors rörelser. – Vi kombinerar doing och thinking, säger Agneta Gulz, professor i kognitionsvetenskap.