Proc Natl Acad Sci U S A 2014 Jan;111(3):879-80
School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287.
Cult Stud Sci Educ 2021 Oct 6:1-23. Epub 2021 Oct 6.
The Graduate Center of the City University of New York, New York, NY USA.
This Editorial sets the stage for 18 papers on the theme, . The special issue consists of a diverse set of papers that complement one another while each contributes in unique ways that will stimulate reflexive practices among the science education community as they ponder how they can contribute to the resolution of global challenges that define our lifetimes. In this Editorial we address priorities for improved science literacy for a worldwide community so that moment-to-moment practices can reduce the world's carbon footprint and reverse global warming and related challenges such as species extinction. Read More
Proc Biol Sci 2021 Oct 13;288(1960):20210783. Epub 2021 Oct 13.
Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, USA.
Feedbacks are an essential feature of resilient socio-economic systems, yet the feedbacks between biodiversity, ecosystem services and human wellbeing are not fully accounted for in global policy efforts that consider future scenarios for human activities and their consequences for nature. Failure to integrate feedbacks in our knowledge frameworks exacerbates uncertainty in future projections and potentially prevents us from realizing the full benefits of actions we can take to enhance sustainability. We identify six scientific research challenges that, if addressed, could allow future policy, conservation and monitoring efforts to quantitatively account for ecosystem and societal consequences of biodiversity change. Read More
Sensors (Basel) 2021 Oct 3;21(19). Epub 2021 Oct 3.
School of Electrical Engineering & Computer Science, University of North Dakota, Grand Forks, ND 58202, USA.
The 5G cellular network is no longer hype. Mobile network operators (MNO) around the world (e.g. Read More
IEEE Trans Pattern Anal Mach Intell 2021 Oct 12;PP. Epub 2021 Oct 12.
Exabytes of data are generated daily by humans, leading to the growing need for new efforts in dealing with the grand challenges for multi-label learning brought by big data. For example, extreme multi-label classification is an active and rapidly growing research area that deals with classification tasks with an extremely large number of classes or labels; utilizing massive data with limited supervision to build a multi-label classification model becomes valuable for practical applications, etc. Besides these, there are tremendous efforts on how to harvest the strong learning capability of deep learning to better capture the label dependencies in multi-label learning, which is the key for deep learning to address real-world classification tasks. Read More
Front Plant Sci 2021 23;12:764573. Epub 2021 Sep 23.
Laboratoire de Physiologie Cellulaire et Végétale, CNRS, CEA, INRAE, Université Grenoble Alpes, IRIG, CEA Grenoble, Grenoble, France.