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The characterization of the incident photon beam is usually divided into its dependence on collimator setting (head-scatter factor) and off-axis position (primary off-axis ratio). These parameters are normally measured "in air" with a build-up cap, thick enough to generate full dose build-up at the depth of dose maximum. In order to prevent any influence from contaminating electrons, it

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Med hjälp av ett automatiserat mätsystem för partikelhalter i vatten har vattenkvaliteten vid Borensbergs vattenverk i Motala kommun undersökts under ett års tid med avseende på mikroskopiska partiklar i dricksvatten och råvatten. Antalet mikroskopiska partiklar registrerades som absoluta värden i realtid. I denna artikel diskuteras hur larmgränser skall definieras i praktiken för partikelhalter oDuring a one year long research project at Borensberg Waterworks, Motala, Sweden, water quality with respect to microscopic particle counts both in raw water and drinking water have been monitored by an online water quality monitoring system. Microscopic particle counts were documented with absolute values in real-time. In this paper, a discussion is introduced on how to analyze large data sets fr

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While air pollution data in Ethiopia is limited, existing studies indicate high levels of both ambient and household air pollution; rapid urbanization also threatens the preservation of urban green spaces. In this study, environmental injustice, or the disproportionate burden of environmental exposures on persons of lower socioeconomic status (SES), was explored among women in Ethiopia using a mot

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As the scale of single-cell genomics experiments grows into the millions, the computational requirements to process this data are beyond the reach of many. Herein we present Scarf, a modularly designed Python package that seamlessly interoperates with other single-cell toolkits and allows for memory-efficient single-cell analysis of millions of cells on a laptop or low-cost devices like single-boa

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CONTEXT: The tension between service and training in pressured health care environments can have a detrimental impact on training quality and job satisfaction. Yet the management literature proposes that competing demands are inherent in organisational settings: it is not the demands as such that lead to negative outcomes but how people and organisations react to opposing tensions. We explored how

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The human brain performs tasks with an outstanding energy efficiency, i.e., with approximately 20 Watts. The state-of-the-art Artificial/Deep Neural Networks (ANN/DNN), on the other hand, have recently been shown to consume massive amounts of energy. The training of these ANNs/DNNs is done almost exclusively based on the back-propagation algorithm, which is known to be biologically implausible. Th

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Earlier treatment of breast cancer results in better survival. Screening enables this through detection of tumors before they cause symptoms. On the negative side, some tumors if not detected through screening would not cause symptoms, leading to overdiagnosis. Improvements in image quality allow even earlier detection and diagnosis of even smaller tumors at an even earlier stage. This study aims

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Interpretability has become a crucial component in the Machine Learning (ML) domain. This is particularly important in the context of medical and health applications, where the underlying reasons behind how an ML model makes a certain decision are as important as the decision itself for the experts. However, interpreting an ML model based on limited local data may potentially lead to inaccurate co

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When the assembly force is applied, the gas diffusion layer (GDL) deformation is observed and the geometry and transport parameters are also changed. Accordingly, the transport processes and cell performance are affected due to the deformation effect. In the present study, a three-dimensional, non-isothermal, two-phase flow model was developed and applied to investigate the effect of GDL deformati

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Polycystic ovary syndrome (PCOS) is a medical condition with important consequences for women’s well-being and reproductive outcomes. Although the etiology of PCOS is not fully understood, there is increasing evidence of both genetic and environmental determinants, including development in early life. We studied a population of 977,637 singleton women born in in Sweden between 1973 and 1995, follo

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Integrating low-power wearable systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables make it possible to target complex scenarios by exploiting multiple biosignals and using high-performance algorithms, such as Deep Neural Networks (DNNs). However, there is a tradeoff between the algorithms' performance and the low-power requir

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AimsOrthostatic hypotension (OH) is an important differential diagnosis in unexplained syncope. Neurogenic OH (nOH) has been postulated to differ from non-neurogenic OH (non-nOH), yet pathophysiological differences are largely unexplored. We aimed to investigate aetiology and tilt table test (TTT)-induced haemodynamic responses in symptomatic OH patients.Methods and resultsWe performed a retrospec

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Background: Preterm and low birth weight infants are at an early stage of development, and do not receive adequate maternal circadian signals. They are often cared for over prolonged periods of hospitalisation in neonatal intensive care units (NICU), where environmental circadian stimuli are lacking. Exposure to artificial light–dark cycles may stimulate the development of the circadian system and

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Despite the anticipated benefits of smart home technology (SHT) to support older adults' engagement in meaningful activities, barriers to the adoption of SHT have been identified. While research in the field of technology is surging, research on older adults playing an active role in designing and developing SHT to enhance usability is lacking. It is important to co-develop solutions to place olde