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Disseqt-distribution-based modeling of sequence space time dynamics

Rapidly evolving microbes are a challenge to model because of the volatile, complex, and dynamic nature of their populations. We developed the DISSEQT pipeline (DIStribution-based SEQuence space Time dynamics) for analyzing, visualizing, and predicting the evolution of heterogeneous biological populations in multidimensional genetic space, suited for population-based modeling of deep sequencing an

Innovation in the long run: Perspectives on technological transitions in Sweden 1908-2016

There are fundamental unresolved questions about the nature of the long-run interplay between innovation and economic development processes. This study examines technological transitions in Sweden, 1908-2016, using a new literature-based innovation output indicator for the engineering industry, allowing a mixed-methods approach. The results suggest that waves of innovation have taken place during

Accounting matters : Revisiting claims of decoupling and genuine green growth in Nordic countries

Ecological modernisation in the form of support to the notion of green growth remains the dominant discourse in environmental policy globally. Still, questions of limits to economic expansion and growth on a planet with finite natural resources have been at the core of environmental discourses at least since the 1970's. A recent effort by Stoknes and Rockström (2018) seeks to unite notions of ecol

Extreme Hot Weather Has Stronger Impacts on Avian Reproduction in Forests Than in Cities

Climate change and urbanisation are among the most salient human-induced changes affecting Earth’s biota. Extreme weather events can have high biological impacts and are becoming more frequent recently. In cities, the urban heat island can amplify the intensity and frequency of hot weather events. However, the joint effects of heat events and urban microclimate on wildlife are unclear, as urban po

Feasibility and Relevance of an Intervention with Systematic Screening as a Base for Individualized Rehabilitation in Breast Cancer Patients : A Pilot Trial of the ReScreen Randomized Controlled Trial

Background: A substantial proportion of women with breast cancer (BC) experience a wide range of long-term persistent and troublesome side effects related to the disease and its treatment. The ReScreen randomized controlled trial is conducted aiming to evaluate the effect of early screening of distress followed by individualized rehabilitation after primary BC treatment.Purpose: To examine recruit

Mercury–Selenium Accumulation Patterns in Muscle Tissue of Two Freshwater Fish Species, Eurasian Perch (Perca fluviatilis) and Vendace (Coregonus albula)

Mercury (Hg) in the form of highly toxic methyl mercury (MeHg) accumulates in aquatic food webs to an extent where it may threaten fish health in many freshwaters. Selenium (Se) mitigates the toxicity of accumulated Hg by forming strong bonds with it, a drawback being diversion of Se from biosynthetic pathways of essential selenoenzymes. We measured Se and Hg in muscle tissue of Eurasian perch (Pe

Investigating out-of-plane strength & stiffness of a nailed glulam connection

During March 2020 a large-span arena, Tarfalahallen, collapsed. The main load-bearing girders with a 54 m span were high and slender glulam trussed beams, supported from below by a cable system via vertical struts. Investigations concluded that the failure was initiated by out-of-plane buckling of the struts and slender beam, in spite of lateral stabilization by steel roof sheeting at the top edge

Mechanisms of spectral orientation in a diurnal dung beetle

Ball rolling dung beetles use a wide range of cues to steer themselves along a fixed bearing, including the spectral gradient of scattered skylight that spans the sky. Here, we define the spectral sensitivity of the diurnal dung beetle Kheper lamarcki and use the information to explore the orientation performance under a range of spectral light combinations. We find that, when presented with spect

Current advances in digital cognitive assessment for preclinical Alzheimer's disease

There is a pressing need to capture and track subtle cognitive change at the preclinical stage of Alzheimer's disease (AD) rapidly, cost-effectively, and with high sensitivity. Concurrently, the landscape of digital cognitive assessment is rapidly evolving as technology advances, older adult tech-adoption increases, and external events (i.e., COVID-19) necessitate remote digital assessment. Here,

Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction

We address the challenges in estimating 3D human poses from multiple views under occlusion and with limited overlapping views. We approach multi-view, single-person 3D human pose reconstruction as a regression problem and propose a novel encoder-decoder Transformer architecture to estimate 3D poses from multi-view 2D pose sequences. The encoder refines 2D skeleton joints detected across different

Quantitative characterization of liquids flowing in geometrically controlled sub-100 nm nanofluidic channels

With development of nanotechnologies, applications exploiting nanospaces such as single-molecule analysis and high-efficiency separation have been reported, and understanding properties of fluid flows in 101 nm to 102 nm scale spaces becomes important. Nanofluidics has provided a platform of nanochannels with defined size and geometry, and revealed various unique liquid properties including higher

Identification of ARMH4 and WIPF3 as human podocyte proteins with potential roles in immunomodulation and cytoskeletal dynamics

The podocyte is a specialized cell type critically involved in maintaining the selective filtration barrier of the kidney. Podocytes are primary or secondary targets for a multitude of kidney diseases. Despite intense investigation, the transcriptome and proteome of human podocytes remain incompletely characterized. Here, we analyzed publicly available RNA-Seq data from human kidneys (n = 85) to c

Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems

In healthcare, data privacy of patients regulations prohibits data from being moved outside the hospital, preventing international medical datasets from being centralized for AI training. Federated learning (FL) is a data privacy-focused method that trains a global model by aggregating local models from hospitals. Existing FL techniques adopt a central server-based network topology, where the serv

Socioeconomic position indicators and risk of alcohol-related medical conditions : A national cohort study from Sweden

Background AAUlco:hPollecaosencsounmfirpmtitohnatcaollnhteraibduintegsletvoelesxacreersesprmesoernbtiedditcyorarnedctmly:ortality in part through the development of alcohol-related medical conditions (AMCs, including alcoholic cardiomyopathy, hepatitis, cirrhosis, etc.). The current study aimed to clarify the extent to which risk for these outcomes differs as a function of socioeconomic position (

Report on 4 cases with decreased recovery due to neutralizing antibodies specific for PEGylated recombinant factor VIII

Background: The immunogenicity, safety, and efficacy of recombinant factor VIII (rFVIII) have gained increasing interest after the introduction of extended half-life products with various modifications of the rFVIII molecule, such as covalent attachment of polyethylene glycol (PEG). Anti-PEG antibodies may be associated with a temporary reduction of FVIII recovery, but according to previous studie

Perception and acquaintance of stroke specialists on non-inferiority trials : An international survey

Introduction: The adoption of non-inferiority trial designs for assessing new interventions in stroke treatment is on the rise. We designed a survey to assess stroke specialists' understanding and familiarity with non-inferiority trials and margins. Methods: A brief web-based questionnaire was sent to the members of the World Stroke Organization (WSO). The median acceptable non-inferiority margins

Assimilation and value of injection response data for enhanced contaminated site characterization

Collecting detailed hydrogeological data before, during, and after remediation campaigns is essential for effective management and monitoring of contaminated sites. As in-situ remediation injection treatment becomes more popular, recording the hydraulic response during these events offers an opportunity to collect detailed data on hydrogeological parameters. Often, multiple injections are performe

The Surprise Question Can Be Used to Identify Heart Failure Patients in the Emergency Department Who Would Benefit From Palliative Care

CONTEXT: Heart failure (HF) is associated with symptom exacerbations and risk of mortality after an emergency department (ED) visit. Although emergency physicians (EPs) treat symptoms of HF, often the opportunity to connect with palliative care is missed. The "surprise question" (SQ) "Would you be surprised if this patient died in the next 12 months?" is a simple tool to identify patients at risk

Association Between the EAT-Lancet Reference Diet and Gestational Diabetes Mellitus : A Mini-Review

Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication that seriously endangers maternal and infant health, posing a medical and economic burden worldwide. Several dietary patterns have been recommended for women of childbearing age, demonstrating a positive role in preventing and managing GDM. However, these dietary patterns may not fully take environmental factors into account