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Contrast enhanced magneto-motive ultrasound in lymph nodes-modelling and pre-clinical imaging using magnetic microbubbles

Despite advances in MRI, the detection and characterisation of lymph nodes in rectal cancer remains complex, especially when assessing the response to neo-adjuvant treatment. An alternative approach is functional imaging, previously shown to aid characterization of cancer tissues. We report proof-of-concept of the novel technique Contrast-Enhanced Magneto-Motive Ultrasound (CE-MMUS) to recover inf

Psychosocial stress and social capital pathways and health : Perspectives from Lund University, Malmö

AIMS: The aim of this Commentary is to outline a few steps of the process by which psychosocial stress and later social capital have been investigated as health determinants at Lund University, Malmö since the 1980s. References to the international literature and literature from Malmö from the mid-1980s and onwards will be used.RESULTS: The development of research on psychosocial factors and socia

Demand response planning for day-ahead energy management of CHP-equipped consumers

Due to the growing importance of demand response program (DRP) in demand side management in power systems as well as increasing employment of combined heat and power (CHP) units, the issue of energy management of large consumers equipped with CHP units in the presence of a DRP based on the day-ahead electricity price has been studied in this paper. To solve the considered non-convex and non-linear

Early Identification of Invalid Bug Reports in Industrial Settings – A Case Study

Software development companies spend considerable time resolving bug reports. However, bug reports might be invalid, i.e., not point to a valid flaw. Expensive resources and time might be expended on invalid bug reports before discovering that they are invalid. In this case study, we explore the impact of invalid bug reports and develop and assess the use of machine learning (ML) to indicate wheth

Multiple Offsets Multilateration: : A New Paradigm for Sensor Network Calibration with Unsynchronized Reference Nodes

Positioning using wave signal measurements is used in several applications, such as GPS systems, structure from sound and Wifi based positioning. Mathematically, such problems require the computation of the positions of receivers and/or transmitters as well as time offsets if the devices are unsynchronized. In this paper, we expand the previous state-of-the-art on positioning formulations by intro

Allergen provocation tests in respiratory research : building on 50 years of experience

The allergen provocation test is an established model of allergic airway diseases, including asthma and allergic rhinitis, allowing the study of allergen-induced changes in respiratory physiology and inflammatory mechanisms in sensitised individuals as well as their associations. In the upper airways, allergen challenge is focused on the clinical and pathophysiological sequelae of the early allerg

Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties

In this work, we introduce a novel approach for determining a joint sparse spectrum from several non-uniformly sampled data sets, where each data set is assumed to have its own, and only partially known, sampling times. The problem originates in paleoclimatology, where each data point derives from a separate ice core measurement, resulting in that even though all measurements reflect the same peri

Existential aspects documented in older people’s patient records in the context of specialized palliative care : a retrospective review

Background: Documentation of older people’s end-of-life care should cover the care given and provide an overview of their entire situation. Older people approaching the end of life often have complex symptoms, live with bodily losses, and face an unknown future in which existential aspects come to the forefront. Knowledge of the existential aspects recorded in palliative care documentation is spar

Generalized Urban Traffic Surveillance (GUTS) : World-Coordinate Tracking for Traffic Safety Applications

We present a new world-coordinate tracking algorithm for road users seen from static surveillance cameras, denoted GUTS. It is based upon the previously published UTS method but simplifies and replaces parts allowing association logic to work in world coordinates, by using a novel convolutional neural network denoted SAMHNet to convert every detection into world coordinates. Experimental evaluatio

World Stroke Organization (WSO) : Global Stroke Fact Sheet 2022

Stroke remains the second-leading cause of death and the third-leading cause of death and disability combined (as expressed by disability-adjusted life-years lost – DALYs) in the world. The estimated global cost of stroke is over US$721 billion (0.66% of the global GDP). From 1990 to 2019, the burden (in terms of the absolute number of cases) increased substantially (70.0% increase in incident str

Joint Deformable Image Registration and ADC Map Regularization : Application to DWI-Based Lymphoma Classification

The Apparent Diffusion Coefficient (ADC) is considered an importantimaging biomarker contributing to the assessment of tissue microstructure and pathophy- siology. It is calculated from Diffusion-Weighted Magnetic Resonance Imaging (DWI) by means of a diffusion model, usually without considering any motion during image acquisition. We propose a method to improve the computation of the ADC by copin

International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery

Numerous biological mechanisms contribute to outcome after stroke, including brain injury, inflammation, and repair mechanisms. Clinical genetic studies have the potential to discover biological mechanisms affecting stroke recovery in humans and identify intervention targets. Large sample sizes are needed to detect commonly occurring genetic variations related to stroke brain injury and recovery.

LbSP : Load-Balanced Secure and Private Autonomous Electric Vehicle Charging Framework With Online Price Optimization

Nowadays, autonomous electric vehicles (AEVs) are increasingly popular due to low resource consumption, low pollutant emission, and high efficiency. In practice, Vehicle-to-Grid (V2G) networks supply energy power to EVs to ensure the usage of EVs. However, there are still certain security and privacy concerns in V2G connections, such as identity impersonation and message manipulation. Additionally