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Factor Models With Sparse Vector Autoregressive Idiosyncratic Components

We reconcile dense and sparse modelling by exploiting the positive aspects of both. We employ a high-dimensional, approximate static factor model and assume the idiosyncratic term follows a sparse vector autoregressive model (VAR). The estimation is articulated in two steps: (i) factors and loadings are estimated via principal component analysis (PCA); (ii) a sparse VAR is estimated via the lasso

FABLE Scenathon 2023 Pathways for food and land-use systems in Sweden

Our food and land-use systems are critical for staying within our planetary boundaries and the Earth’s system resilience. Among the six Transformations required to achieve the Sustainable Development Goals (SDGs), the fourth Transformation—focusing on food, land, and water—is crucial. This Transformation is key to achieving SDG 2 (Zero Hunger), SDG 6 (Clean Water and Sanitation), SDG 12 (Responsib

Do directed and non-directed oocyte donors differ regarding their motives, ambivalence, satisfaction and openness about donating?

Research question: Do directed oocyte donors differ from non-directed identity-release oocyte donors regarding pre-donation motives and ambivalence, and post-donation satisfaction and openness? Design: The study is part of the longitudinal Swedish Study on Gamete Donation where consecutive samples of identity-release gamete donors at seven Swedish University Hospitals were approached during a 3-ye

Inoperosità : Exposing the Position of Employees and Customers in Unemployment-Related Management Literature

Regardless of our socio-juridical position in or outside of organisations, this much is certain: even if not formally employed, we all, Agamben’s Homo Sacer series and the bulk of his other texts imply, are subject to a violence that, if differentially, imprisons us in a world in which ‘work’ reigns supreme. But what precisely is ‘work’? And is there, in spite of our securing the necessities of liRegardless of our socio-juridical position in or outside of organisations, this much is certain: even if not formally employed, we all, Agamben’s Homo Sacer series and the bulk of his other texts imply, are subject to a violence that, if differentially, imprisons us in a world in which ‘work’ reigns supreme. But what precisely is ‘work’? And is there, in spite of our securing the necessities of li

Enhancing the functional value of Andean food plants: Enzymatic production of γ-aminobutyric acid from tarwi, cañihua and quinoa real seeds’ proteins

Gamma-aminobutyric acid (GABA) is known for its multiple physiological functions, including beneficial effects against several metabolic disorders. This study explores enzymatic strategies to enhance the functional value of Andean seeds, specifically tarwi (Lupinus mutabilis), cañihua (Chenopodium pallidicaule) and quinoa (Chenopodium quinoa) real varieties, by converting their naturally occurring

Machine learning-based multi-pool Voigt fitting of CEST, rNOE, and MTC in Z-spectra

PURPOSE: Four-pool Voigt (FPV) machine learning (ML)-based fitting for Z-spectra was developed to reduce fitting times for clinical feasibility in terms of on-scanner analysis and to promote larger cohort studies. The approach was compared to four-pool Lorentzian (FPL)-ML-based modeling to empirically verify the advantage of Voigt models for Z-spectra.METHODS: Voigt and Lorentzian models were fitt

Nature-based solutions can pave the way to carbon-neutral cities in 2030

Nature-based solutions, such as urban green spaces, are shown to contribute to carbon emissions reduction and carbon sequestration, and also to have valuable indirect effects and behavioural impacts. Implementing such solutions could achieve carbon neutrality within the decade in several major cities in Europe.

Socioecological informed comparative modeling to promote sustainable urban policy transitions: Case study in Chicago and Stockholm

Adapting successes of policy transition from one city to another has been more difficult than single case of successful sustainability-driven projects and developments. A thorough understanding of local biophysical and socio-economic conditions is essential in formulating effective development plans and policies. Here, we propose the use of a social-ecological model as a comparative tool to help u

Urban Ecosystem Vulnerability Assessment of Support Climate-Resilient City Development

Climate change poses a threat to cities. Geospatial information and communication technology (Geo-ICT) assisted planning is increasingly being utilised to foster urban sustainability and adaptability to climate change. To fill the theoretical and practical gaps of urban adaptive planning and Geo-ICT implementation, this article presents an urban ecosystem vulnerability assessment approach using in

How Does ICT Expansion Drive “Smart” Urban Growth? A Case Study of Nanjing, China

In the context of accelerated urbanization, socioeconomic development, and population growth, as well as the rapid advancement of information and communication technology (ICT), urban land is rapidly expanding worldwide. Unplanned urban growth has led to the low utilization efficiency of land resources. Also, ecological and agricultural lands are continuously sacrificed for urban construction, whi