Search results for "Training"

Association between resting blood pressure and maximal blood pressure response to exercise and arterial health

2022

We investigated the longitudinal associations of blood pressure, cardiorespiratory fitness, and arterial stiffness among children. Arterial stiffening has been repeatedly shown to be a cardiovascular mortality predictor and can be observed early in childhood. As such, it is crucial to understand whether a child’s blood pressure, fitness level, and body composition can predict early signs of atherosclerosis and arterial stiffening. The current study examined the relationship between blood pressure, cardiorespiratory fitness, and arterial stiffness over time in children, using data from the Physical and Nutrition in Children (PANIC) Study. It is a physical and dietary intervention study condu…

Post-exercise heart rate variability : a new approach to evaluation of exercise-induced physiological training load

2015

To improve maximal endurance performance, an optimal physiological training load, i.e. the balance between exercise and recovery, is required. In general, the goal of a single endurance exercise session is to transiently disturb body homeostasis after which a so-called supercompensation, an improvement in performance, can occur if the recovery period is adequate. The physical training load of a single exercise session consists of the combination of exercise intensity and duration. At the present time, there is no single tool to quantify the amount of disturbance of homeostasis that is equal to physiological training load of a single exercise session. Heart rate variability (HRV), the change…

Heart rate variability in chronic and acute stress : with special reference to nocturnal sleep and acute challenges after awakening

2011

Predicting and monitoring individual endurance training adaptation and individualizing training prescription : with endurance performance, cardiac au…

2016

Humans adapt differently to standardized endurance training programs. While some individuals may achieve huge improvements in physical fitness, other individuals may even suffer from negative adaptations. Special attention should be paid to identification of non-responders, which would enable to modify training to be more effective. Therefore, the aim of the present study was to investigate whether running performance, cardiac autonomic regulation and neuromuscular performance can be used in 1) predicting subsequent endurance training adaptations; 2) monitoring training adaptations; and 3) individualizing training prescription in recreational endurance runners. Three longitudinal training s…

Gear classification and fault detection using a diffusion map framework

2015

This article proposes a system health monitoring approach that detects abnormal behavior of machines. Diffusion map is used to reduce the dimensionality of training data, which facilitates the classification of newly arriving measurements. The new measurements are handled with Nyström extension. The method is trained and tested with real gear monitoring data from several windmill parks. A machine health index is proposed, showing that data recordings can be classified as working or failing using dimensionality reduction and warning levels in the low dimensional space. The proposed approach can be used with any system that produces high-dimensional measurement data. peerReviewed

Activity Theory as a Lens to Identify Challenges in Surgical Skills Training at Hospital Work Environment

2015

In this paper the concepts from activity theory (AT) are applied for identifying the challenges and contradictions emerging in surgical resident’s curriculum based training at hospital. AT is utilised as a lens to identify contradictions that cause disturbances, problems, ruptures, breakdowns, and clashes which emerge while surgical skills training is implemented in a new way at hospital. We especially aim at finding solutions for contradictions which emerge while the new and old working culture are confronted and the workers are required to balance themselves between the patient care demands and workplace learning requirements. We are using the conceptual theoretical approach to describe…

Convolutional neural networks in skin cancer detection using spatial and spectral domain

2019

Skin cancers are world wide deathly health problem, where significant life and cost savings could be achieved if detection of cancer can be done in early phase. Hypespectral imaging is prominent tool for non-invasive screening. In this study we compare how use of both spectral and spatial domain increase classification performance of convolutional neural networks. We compare five different neural network architectures for real patient data. Our models gain same or slightly better positive predictive value as clinicians. Towards more general and reliable model more data is needed and collection of training data should be systematic. peerReviewed

Does the Learning Channel Really Matter? - Insights from Commercial Online ICT-training

2017

Evolving ICT has provided new options to participate to training. Online participation has been found to be cost effective, helping people to deal with the time and cost pressures they are facing on their jobs. Previous studies conducted in higher education sector indicates that student satisfaction or learning outcomes does not differ between online and classroom participants. However, little is known what is the situation in commercial ICT-training. This paper studied course feedbacks from courses having both online and classroom participants of a commercial ICT-training provider. Results revealed that the learning channel has no effect on satisfaction, perceived teacher’s substance and t…

Recommending Serendipitous Items using Transfer Learning

2018

Most recommender algorithms are designed to suggest relevant items, but suggesting these items does not always result in user satisfaction. Therefore, the efforts in recommender systems recently shifted towards serendipity, but generating serendipitous recommendations is difficult due to the lack of training data. To the best of our knowledge, there are many large datasets containing relevance scores (relevance oriented) and only one publicly available dataset containing a relatively small number of serendipity scores (serendipity oriented). This limits the learning capabilities of serendipity oriented algorithms. Therefore, in the absence of any known deep learning algorithms for recommend…

Social support in the workplace for physicians in specialization training

2018

ABSTRACT When becoming a specialist, learning-through-service plays a significant role. The workplace affords good opportunities for learning, but the service-learning period may also impose stress on phycisians in specialization training. In medical work, social support has proved to be a very important factor in managing stress. Social support may afford advantages also for learning and professional identity building. However, little was known about how social support is perceived by doctors in specialization training. This study aimed to understand the perceptions of physicians in specialization training regarding social support communication in their workplace during their learning-thro…