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The petrochemicals industry (mainly plastics and fertilizer production) is expanding, despite increasing attention to the environmental impact of petrochemicals. In our paper, we explore the role public finance plays in the petrochemicals industry. We do so by mapping the public and private financial flows into large-scale petrochemical projects for the decade 2010-20 and discuss the role of publi

Background: Mohs micrographic surgery (MMS) is a precise, tissue-sparing surgical technique that offers superior cure rates compared to traditional surgical excision. However, the degree of difficulty of MMS depends on many variables, and consequently, the number of surgical stages required for each case is quite unpredictable.Objectives: To identify risk factors for complicated MMS, defined as MM

Mining is an economically-beneficial activity recognized as crucial in modern society since almost every aspect of our lives relies on minerals. However, intensive mining activities impose a severe strain on the water-energy nexus. In fact, mining ventures: i) need massive amount of water in various ore processing steps; ii) generate a huge amount of waste (tailings), generally transferred to tail

We describe the outcome of a data challenge conducted as part of the Dark Machines (https://www.darkmachines.org) initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims to detect signals of new physics at the Large Hadron Collider (LHC) using unsupervised machine learning algorithms. First, we propose how an anomaly score could be implemented to define model-

This protocol describes the design and use of CRISPRi-mediated transcriptional silencing in human iPSCs, for loss-of-function studies in brain development research. The protocol avoids single cell selection, thereby eliminating side effects of clonal expansion and sites of viral integration. We also describe a neural progenitor differentiation protocol and discuss the challenges of target-specific

Recent spinal cord literature abounds with descriptions of genetic preprogramming and the molecular control of circuit formation. In this paper, we explore to what extent circuit formation based on learning rather than preprogramming could explain the selective formation of the monosynaptic projections between muscle spindle primary afferents and homonymous motoneurons. We adjusted the initially r

The use of molecular data to study the evolutionary history of organisms has revolutionized the field of systematics. Now with the appearance of high throughput sequencing (HTS) technologies, more and more genetic sequence data are available. One of the important sources of genetic data for phylogenetic analyses has been mitochondrial DNA. The limitations of mitochondrial DNA for the study of phyl

Objectives: The primary objective was to investigate the utility of blood-basedbiomarkers of amyloid, tau, and neurodegeneration for (i) screening, (ii)enrichment, and (iii) tracking response to treatment in clinical trials of Alzheimer’sdisease.Methods: Longitudinal, participant-level data used in these studies was drawn fromthe Swedish BioFINDER study and the ADNI study. Participants were classi

This paper presents a two-stage procedure to create a surface integrity predictor. The first stage includes data clustering, which allows to evaluate the achievable surface quality. The second stage consists in training the model to predict which cluster the machined surface will belong to. To demonstrate the applicability, an experimental plan for machining of Inconel 718 in milling was developed

Herein, we present KiMoPack, an analysis tool for the kinetic modeling of transient spectroscopic data. KiMoPack enables a state-of-the-art analysis routine including data preprocessing and standard fitting (global analysis), as well as fitting of complex (target) kinetic models, interactive viewing of (fit) results, and multiexperiment analysis via user accessible functions and a graphical user i

Background: Population-based register data could be used to improve our knowledge of patients surgically treated for foot and ankle disorders. The quality register Swefoot was recently created to collect surgical and patient-reported data of foot and ankle surgery. This manuscript aims to describe the development and current use of the register. Methods: The development of Swefoot started in 2014

Blood-based markers (BBMs) have recently shown promise to revolutionize the diagnostic and prognostic work-up of Alzheimer's disease (AD), as well as to improve the design of interventional trials. Here we discuss in detail further research needed to be performed before widespread use of BBMs. We already now recommend use of BBMs as (pre-)screeners to identify individuals likely to have AD patholo

Contemporary research and teaching on global environmental politics (GEP) draw upon many approaches to understanding the ways in which states and societies respond to transboundary environmental problems (see Chapter 2). Approaches that emphasize the state (see Chapter 7) and international organizations (see Chapter 8) derive in a straightforward way from scholarly work in international relations

Att skapa en cirkulär ekonomi med hållbara produkter är en nödvändighet för dagens samhälle, särskilt kopplat till de klimatutmaningarna som vi har idag från bland annat överkonsumtion och dålig hantering vid slutet av produkternas livslängd. Projektet fokuserar på att ta fram en produkt som gjorts på återvunna material och att utmana tidigare materialbegränsningar. Detta har gjorts med en betonin

Most electricity in Lebanon is produced by burning fossil fuels, which produces more than one half of domestic greenhouse gas emissions, and the state-owned electricity companies are unable to meet the demand. To increase the country’s generation capacity and simultaneously combat the effects of climate change, the government aims to produce 30% of its electricity from renewables by 2030. It is ho

A Jacobian free multigrid preconditioner for linear problems arising from Implicit Discontinuous Galerkin (DG) discretizations is implemented. The preconditioner is based on a multigrid method for a low order Finite volume (FV) discretization on a subcellgrid. L2-projections are introduced as a strategy to translate between the discretizations. Numerical tests on advection dominated linear advecti