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In Industry 4.0, manufacturing and critical systems require high levels of flexibility and resilience for dynamic outcomes. Industrial Control Systems (ICS), specifically Supervisory Control and Data Acquisition (SCADA) systems, are commonly used for operation and control of Critical Infrastructure (CI). However, due to the lack of security controls, standards, and proactive security measures in t
Psykologiska evidensbaserade interventioner som förmedlas via internet och mobila teknologier (Digital Mental Health) har potential att minska tröskeln för att få vård, samt minska svårigheter att få tillgång till behandling på grund av avstånd, kostnader, arbete och familjekonflikter eller begränsad kapacitet hos vårdgivare. Den här typen av hinder utgör en särskild utmaning för personer med deprEvidence-based psychological interventions delivered via the internet and mobile technologies (Digital Mental Health) hold the promise of reducing barriers to care, including difficulties accessing treatment because of distance, cost, work and family commitments, and limited provider capacity. Such barriers represent a particular challenge for individuals with depression and anxiety, that tend to
We present novel developments for the highly efficient evaluation of complex linear response functions of a multiconfigurational self-consistent field (MCSCF) wave function as implemented in MultiPsi. Specifically, expressions for the direct evaluation of linear response properties at given frequencies using the complex polarization propagator (CPP) approach have been implemented, within both the
Processes that utilise low-value wastes and convert them to high-value food ingredients systemically add value across commercial operations. Current common disposal options include use as animal feed, anaerobic digestion, composting, incineration, and the worst-case options of landfill and wastewater disposal. The pressure is acute with food manufacturers needing to align with the UN Sustainable D
One of the major challenges in forensic genetics is being able to detect very small amounts of DNA. Massively parallel sequencing (MPS) enables sensitive detection; however, genotype errors may exist and could interfere with the interpretation. Common errors in MPS-based analysis are often induced during PCR or sequencing. Unique molecular indices (UMIs) are short random nucleotide sequences ligat
The SM2RAIN (soil moisture to rain) model has been widely used for rainfall estimation worldwide. However, due to the lack of sufficient ground observation, the SM2RAIN model driven by different passive microwave soil moisture products over the Tibetan Plateau has not been fully validated. In this article, four widely used satellite microwave soil moisture products (including SMAP, ASCAT, SMOS, an
Deep learning has shown promise for gaze estimation in Virtual Reality (VR) and other head-mounted applications, but such models are hard to train due to lack of available data. Here we introduce a novel method to train neural networks for gaze estimation using synthetic images that model the light distributions captured in a P-CR setup. We tested our model on a dataset of real eye images from a V
Polarized neutron imaging brings the great advantage of analyzing bulk magnetic properties with good spatial resolution. The technique is based on the interaction of the neutron spin with magnetic samples or free magnetic fields and observing the changes to a spin-polarized neutron beam. The high sensitivity to even small magnetic fields is a benefit in obtaining magnetization information but simu
Objective: To investigate how a behavioral health, artificial intelligence (AI)-powered, digital self-management tool affects the daily functions in adults with chronic back and neck pain. Design: Eligible subjects were enrolled in a 12-week prospective, multicenter, single-arm, open-label study and instructed to use the digital coach daily. Primary outcome was a change in Patient-Reported Outcome
Purpose: Aim of this study was to evaluate the effect of intravenous Y27632 (a ROK inhibitor) on intra-ureteral pressures and on blood pressure in an in vivo rat model for unilateral partial ureteral obstruction (PUO). Methods: 15 Male Sprague Dawley rats were used. Under isofluran anesthesia, saline was continuously infused via polyethylene (PE)-10 catheters inserted in the ureters beneath the ki
This resource is a disaster risk financing conceptual framework to assist humanitarian donors, practitioners, and their partners (governments, local communities, etc.) to develop and implement more effective disaster risk financing activities.
BACKGROUND: Numerous laboratory tests are used in the diagnosis and management of patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. An expert committee compiled evidence-based recommendations for laboratory analysis in patients with diabetes. The overall quality of the evidence and the strength of the recommendations we
Shaw’s Pygmalion is commonly thought of as an adaptation of the myth of Pygmalion, the sculptor who fell in love with his own sculpture. However, the name of “Pygmalion” in ancient mythology is shared by Dido’s brother, Pygmalion of Tyre. This article suggests Pygmalion as playing with these two mythological Pygmalions by moving through the play from the myth of Pygmalion the Cypriot sculptor to t
Carbohydrate active enzymes are valuable tools in cereal processing to valorise underutilized side streams. By solubilizing hemicellulose and modifying the fibre structure, novel food products with increased nutritional value can be created. In this study, a novel GH5_34 subfamily arabinoxylanase from Herbinix hemicellulosilytica, HhXyn5A, was identified, produced and extensively characterize
Deep convolutional neural networks (DCNN) achieve very high accuracy in segmenting various anatomical structures in medical images but often suffer from relatively poor generalizability. Multi-atlas segmentation (MAS), while less accurate than DCNN in many applications, tends to generalize well to unseen datasets with different characteristics from the training dataset. Several groups have attempt
Reclassification of bridges, i.e., a change in load rating, using reliability-based methods and a direct update with proof load information has been presented by many authors. However, bridge reclassification has hardly been studied from a decision analytic perspective, i.e., with quantification of the risks and benefits of different classification choices, and the expected benefit gain from proof
This paper presents a production study investigating the frequency of utterance-final rises in South Swedish. These rises are interesting from a dialect typological perspective. Recent findings suggest that South Swedish has two-peak accents utterance medially, whereas previous typologies have assumed only one-peak accents for South Swedish dialects. The South Swedish two-peak accents are similar
