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The central nervous system coordinates movement through forces generated by motor units (MUs) in skeletal muscles. To analyze MUs function is essential in sports, rehabilitation medicine applications, and neuromuscular diagnostics. The MUs and their function are studied using electromyography. Typically, these methods study only a small muscle volume (1 mm3) or only a superficial (<1 cm) volume of
Objective. Ultrasound can detect individual motor unit (MU) activity during voluntary isometric contractions based on their subtle axial displacements. The detection pipeline, currently performed offline, is based on displacement velocity images and identifying the subtle axial displacements. This identification can preferably be made through a blind source separation (BSS) algorithm with the feas
Reconfigurable transistors are an emerging device technology adding new functionalities while lowering the circuit architecture complexity. However, most investigations focus on digital applications. Here, we demonstrate a single vertical nanowire ferroelectric tunnel field-effect transistor (ferro-TFET) that can modulate an input signal with diverse modes including signal transmission, phase shif
Environmental impacts from passenger transportation continue to increase globally due to a rise in kilometers traveled and a shift to emission-intensive transportation modes (from public transportation and active modes such as walking and cycling to motorcycle and car ridership). The electrification of the passenger fleet, coupled with low-carbon energy sources, is expected to decrease some of the
The present status of particle physics is that the Standard Model has been completed with the discovery of theHiggs boson in 2012, but there is a multitude of phenomena in nature which is not accounted for by this model.Researchers are investigating possibilities for detecting new physics at the current particle physics facilities, withthe Large Hadron Collider (LHC) at the frontier. As no signifiThe present status of particle physics is that the Standard Model has been completed with the discovery of theHiggs boson in 2012, but there is a multitude of phenomena in nature which is not accounted for by this model.Researchers are investigating possibilities for detecting new physics at the current particle physics facilities, withthe Large Hadron Collider (LHC) at the frontier. As no signifi
The use of disposable and reusable packaging is a hot topic in policy and practice, but different studies have come to different conclusions on when each packaging type is the more sustainable alternative. The purpose of this paper is to map and review scientific literature that compares disposable and reusable packaging for food, beverages and e-commerce from a sustainability perspective. The met
Det här avhandlingsprojektet handlar om självmedvetande och hur det förhåller sig till medvetande i stort. Mer specifikt handlar det om jagupplevelse, känslan av att vara ett jag, och om denna känsla med nödvändighet finns med i alla våra upplevelser eller inte. Vad betyder det då att ha en känsla av att vara ett jag? Det kan betyda flera saker, exempelvis känslan av att vara samma person över tidThe present dissertation project concerns the relationship between self and consciousness. Specifically, it concerns the phenomenal sense of self and if this is a necessary component of all experience or not. What is it to have a sense of self? This can refer to several things, such as the sense of being a continuous person through time, the sense of having a body, the sense of being in control of
This study investigates the impact in terms of radiation dose when performing simultaneous digital breast tomosynthesis(DBT) and mechanical imaging (MI) – DBTMI. DBTMI has demonstrated the potential to increase specificity of cancerdetection, and reduce unnecessary biopsies, as compared to digital mammography (DM) screening. The presence of theMI sensor during simultaneous image acquisition may in
Uppgifter om de tidigaste hedersdoktoraten respektive första kvinnliga hedersdoktorerna vid de olika fakulteterna inom Lunds universitet samt fördjupningar kring några specifika historiska fall av tilltänkta eller utdelade hedersdoktorat.
Climate change and an increasing urbanisation create pressure on cities in terms of extreme weather events, deteriorated public health and wellbeing and a loss of biodiversity. Strengthening the provision of urban green and blue space (UGS) and ecosystem services (ES) is one way to reduce vulnerability and improve living conditions, and ’greening’ is often highlighted as an important path to creat
D-lactide is the precursor of poly(D-lactide) (PDLA) or stereo-complex with poly(L-lactide) (PLLA). Lignocellulosic biomass provides the essential feedstock option to synthesize D-lactic acid and D-lactide. The residual sugars in D-lactic acid fermentation broth significantly blocks the D-lactide synthesis. This study showed a simultaneous and rate-coordinated conversion of lignocellulose derived
In line with the United Nation Sustainable Development goal #7 (clean and affordable energy), new carbon-neutral fuels need to be investigated. Methanol is a promising alternative e-fuel to fossil fuels for the application in gas turbines. The paper presents a numerical study of the efficient use of green methanol using in a wet Brayton cycle with chemical recuperation. The 1D flame analysis shows
We study mood effect in the field to measure its economic impact and address shortcomings in the existing literature, which typically uses one single mood proxy and ignores selection effects. Using over 50 million car inspections in Sweden and England and multiple mood proxies, we study whether car inspectors are more lenient on good mood days and if car owners self-select into those days. We find
Accurate and timely mapping of inundation extents during flood periods is essential for disaster evaluation and development of rescue strategies. With unique advantages over the optical sensors (e.g., little effect of clouds, and observations at day and night), Synthetic aperture radar (SAR) sensors provide an important data source for mapping inundation, particularly during flood periods. Freely
To train well-performing generalizing neural networks, sufficiently large and diverse datasets are needed. Collecting data while adhering to privacy legislation becomes increasingly difficult and annotating these large datasets is both a resource-heavy and time-consuming task. An approach to overcome these difficulties is to use synthetic data since it is inherently scalable and can be automatical
Objective: Lymph node metastases (pN+) in presumed early-stage cervical cancer negatively impact prognosis. Using federated learning, we aimed to develop a tool to identify a group of women at low risk of pN+, to guide the shared decision-making process concerning the extent of lymph node dissection. Methods: Women with cervical cancer between 2005 and 2020 were identified retrospectively from pop
