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Spatial monitoring of flying insects over a Swedish lake using a continuous-wave lidar system

We have used a continuous-wave bi-static lidar system based on the Scheimpflug principle in measurements on flying insects above, and in the vicinity of, a small lake located in a forested area in Southern Sweden. The system, which operates on triangulation principles, has a high spatial resolution at close distance, followed by a subsequent decline in resolution further from the sensor, related t

Dose escalation to high-risk sub-volumes based on non-invasive imaging of hypoxia and glycolytic activity in canine solid tumors : A feasibility study

Introduction: Glycolytic activity and hypoxia are associated with poor prognosis and radiation resistance. Including both the tumor uptake of 2-deoxy-2-[18 F]-fluorodeoxyglucose (FDG) and the proposed hypoxia tracer copper(II)diacetyl-bis(N4)-methylsemithio-carbazone (Cu-ATSM) in targeted therapy planning may therefore lead to improved tumor control. In this study we analyzed the overlap between s

Refined parameters of the HD 22946 planetary system and the true orbital period of planet d

Context. Multi-planet systems are important sources of information regarding the evolution of planets. However, the long-period planets in these systems often escape detection. These objects in particular may retain more of their primordial characteristics compared to close-in counterparts because of their increased distance from the host star. HD 22946 is a bright (G = 8.13 mag) late F-type star

Risk assessment in suspected acute coronary syndrome with decision support tools and artificial intelligence

Acute coronary syndrome (ACS), including acute myocardial infarction (AMI), are a leading cause ofmorbidity and mortality worldwide. Accurate risk evaluation in patients presenting with chest pain isessential for optimizing emergency department (ED) resource allocation and patient outcomes. Currentclinical decision support tools rely on structured risk scores and biomarker measurements, such as hi

Digital learning resource use among Swedish medical students : insights from a nationwide survey

BACKGROUND: Medical students navigate a complex landscape of digital tools with potential to enhance learning. The main objectives of the current study were to investigate which digital resources are being used, which background factors are associated with utilization, perceived advantages and disadvantages of different digital resources, and explore future directions.METHODS: Cross-sectional, nat

High-level Political Forum on Sustainable Development

In 2013, the United Nations General Assembly established the High-level Political Forum on Sustainable Development (HLPF) as a central platform for the review and follow-up of the 2030 Agenda and the Sustainable Development Goals (SDGs). Every year, government representatives and societal stakeholders meet to assess progress of SDG implementation. The HLPF can be seen as a soft governance instrume

International organizations

International organizations within and outside the United Nations system provide platforms for multilateral cooperation and give impulses for national policymaking to promote the implementation of the Sustainable Development Goals (SDGs). They set agendas, coordinate efforts across regions and countries, offer technical assistance and expertise, compile data and monitor progress and raise awarenes

A fast approximate method for simulating thermal pile heat exchangers

Ground source heat pump systems, operating in conjunction with vertical ground heat exchangers, will play a key role in decarbonising heating and cooling of buildings. Design of traditional borehole heat exchangers relies on tools which implement routine analytical relationships between heat transferred and the temperature change in the ground and circulating thermal fluid. However, for novel pile

Global, regional, and national burden of gout, 1990-2020, and projections to 2050 : a systematic analysis of the Global Burden of Disease Study 2021

BACKGROUND: Gout is an inflammatory arthritis manifesting as acute episodes of severe joint pain and swelling, which can progress to chronic tophaceous or chronic erosive gout, or both. Here, we present the most up-to-date global, regional, and national estimates for prevalence and years lived with disability (YLDs) due to gout by sex, age, and location from the Global Burden of Diseases, Injuries

Evidence-Based Guidelines for Advancing Continuous Experimentation

Continuous experimentation (CE) is used by many internet-facing companies to improve the value of their products based on user feedback gathered, e.g. through on-line experiments using A/B testing. Frameworks and theories for CE have been derived through academic research from applications in large internet facing companies. To assist practitioners in a broader range of companies, we herein presen

Documenting Determinants of the Divorce Transition. Micro-Level Evidence from Sweden 1905–1967

Divorce increased dramatically during the twentieth century across the western world. There is surprisingly little research on the determinants of divorce during this transition. We investigate micro-level sociodemographic determinants of divorce in Sweden 1922–1967 using longitudinal data at individual and household level from southern Sweden, focusing on the associations between divorce and wome

Lidar as a Potential Tool for Monitoring Migratory Insects : A Field Case Study in Sweden

The seasonal migrations of insects involve a substantial displacement of biomass with significant ecological and economic consequences for regions of departure and arrival. Remote sensors have played a pivotal role in revealing the magnitude and general direction of bioflows above 150 m. Nevertheless, the take-off and descent activity of insects below this height is poorly understood. Our lidar ob

A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system

Background Dyspnoea is one of the emergency department’s (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), pneumonia and “other diagnoses” by using deep learning and complete, uns