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Five ways in which rookie lab leaders can get up to speed
Credit: miakievy/Getty Shortly after launching her laboratory last year, Catherine Schrankel began looking for people to fill it. Without a team, Schrankel had to do everything: hire students, organize freezers and establish protocols, among the many other responsibilities of a new principal investigator (PI). “I was just not prepared for how tired I would be…
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A model-independent redundancy measure for human versus ChatGPT authorship discrimination using a Bayesian probabilistic approach
Abstract The academic and scientific world in general is increasingly concerned about their inability to determine and ascertain the identity of the writer of a text. More and more often the question arises as to whether a scientific article or work handed in by a student was actually produced by the alleged author of the…
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Author Correction: Sustained antidepressant effect of ketamine through NMDAR trapping in the LHb
Correction to: Nature https://doi.org/10.1038/s41586-023-06624-1 Published online 18 October 2023 In the version of the article initially published, the sentence “C.J.L. is supported in part by R35GM118114 from NIGMS” was missing from the Acknowledgements section and has now been inserted in the HTML and PDF versions of the article. Author information Author notes These authors contributed…
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How five researchers fared after their ‘great resignation’ from academia
Geologist Chris Jackson says viewing yourself as part of a larger effort is a useful skill when transitioning out of academia.Credit: London International Youth Science Forum On 9 September, Elizabeth Gadd, a research-culture specialist at Loughborough University, UK, posted a collage of pictures of 35 people who had recently used the #leavingacademia hashtag on X,…
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Netflix’s Poisoned nominated for Best Science/Nature Documentary
I am off to New York for a Court hearing on November 13th, but also attending The Critics Choice Association (CCA) Gala and Awards Ceremony the evening before. I hope my tux fits. The Critics Choice Association (CCA) has announced the nominees for the Eighth Annual Critics Choice Documentary Awards (CCDA). The winners will be revealed at a Gala Event on Sunday,…
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Quantum-aided secure deep neural network inference on real quantum computers
Abstract Deep neural networks (DNNs) are phenomenally successful machine learning methods broadly applied to many different disciplines. However, as complex two-party computations, DNN inference using classical cryptographic methods cannot achieve unconditional security, raising concern on security risks of DNNs’ application to sensitive data in many domains. We overcome such a weakness by introducing a quantum-aided…
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Mother Nature knows best when it comes to climate solutions, social media users say
Share of sentiments and emotions as well as share of conspiracy-related tweets for each technology category. Credit: Finn Müller-Hansen A survey of more than a million social media posts suggests that people feel more positive about nature’s ability to solve climate change than human technology, according to new research published in the journal Global Environmental…
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Evaluation of industrial ecology in the π-shaped curve area of China’s Yellow River based on the grey Lotka–Volterra model
Abstract Industrial ecology (IE) is the process of constructing industrial-ecological systems (IES) with the realization of the mutual benefits for industrial system (IS) and ecological system (ES). Therefore, the IE level depends on the IES development and the relationship between IS and ES. This paper calculated the development index of ES and IS to account…
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Mapping annual 10-m maize cropland changes in China during 2017–2021
Abstract China contributed nearly one-fifth of the world maize production over the past few years. Mapping the distributions of maize cropland in China is crucial to ensure global food security. Nonetheless, 10 m maize cropland maps in China are still unavailable, restricting the promotion of sustainable agriculture. In this paper, we collect numerous samples to produce…
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Transformer-based convolutional forgetting knowledge tracking
Abstract Knowledge tracking is to analyze the mastery of students’ knowledge through the learning track. This is very important for online education, since it can determine a learner’s current knowledge level by analyzing the learning history and then make recommendations for future learning. In the past, the commonly used model for knowledge tracking is the…