Matching CIE illuminants to measured spectral power distributions: A method to evaluate non-visual potential of daylight in two European cities

Abstract The evaluation of non-visual effects of light is a crucial topic in lighting design research and practice. Performing such analysis requires precise information about the spectral distribution of the tested light source. Assessing non-visual effects of daylight is complicated due to its spectral composition continuously changing, depending on many factors. Currently there are no available databases with spectral and spatial radiation patterns of the sky vault for locations spread all over the world, and an easy and common method to evaluate non-visual effects of daylight is lacking. The goal of the paper is to provide a simple method to evaluate the non-visual potential of daylight, accounting for its variability. In order to present it, spectral measurements were conducted in two European cities in spring and summer. Horizontal and vertical illuminance toward the four cardinal directions was measured. Daylight variability was analysed in terms of illuminance, Correlated Colour Temperature (CCT) and Melanopic to Photopic (M/P) ratio. A comparison between the measured spectra and the CIE standard illuminants was performed and it was found that the usefulness of this method to evaluate non-visual effects of light in terms of M/P is adequate and provides reliable results. Therefore, a simple method to estimate the non-visual potential of daylight based on the use of D series of illuminants was presented and validated by comparing the results with the measured data. Using this method to calculate M/P always achieves RMSPEs below 6%

Identification of Defects and Hazards in Structures Based on the Point Cloud Using the OptD Method

Structural changes taking place in buildings and structures due to the passage of time are a normal phenomenon. However, the building objects are also adversely affected by atmospheric conditions or violent natural phenomena. Every year, our surroundings are increasingly attacked by extreme weather phenomena such as: floods, hurricanes, heavy storms with rain or extreme heat. Such phenomena are natural elements of nature, however they significantly interfere in the technical condition of the building. They often cause measurable economic losses: flooding, cracks, construction displacements and even their total destruction. At the time of estimating losses, calculating the costs of repair, and then making decisions about the method of restoration, a helpful tool can be laser scanning: terrestrial, airborne or mobile, depending on the character of the object and the size of the disaster. The paper presents an identification of defects and hazards in structures based on the point cloud using the OptD method

Morphology

The guidelines for morphological annotation contain the layers that are necessary for understanding the structure of the words in the object language: morphological segmentation, glossing, and annotation of part-of-speech

Forest harvest effects on mercury in streams and biota in Norwegian boreal catchments

acceptedVersio

The Microbiome Stress Project: Toward a Global Meta-Analysis of Environmental Stressors and Their Effects on Microbial Communities

Microbial community structure is highly sensitive to natural (e.g., drought, temperature, fire) and anthropogenic (e.g., heavy metal exposure, land-use change) stressors. However, despite an immense amount of data generated, systematic, cross-environment analyses of microbiome responses to multiple disturbances are lacking. Here, we present the Microbiome Stress Project, an open-access database of environmental and host-associated 16S rRNA amplicon sequencing studies collected to facilitate cross-study analyses of microbiome responses to stressors. This database will comprise published and unpublished datasets re-processed from the raw sequences into exact sequence variants using our standardized computational pipeline. Our database will provide insight into general response patterns of microbiome diversity, structure, and stability to environmental stressors. It will also enable the identification of cross-study associations between single or multiple stressors and specific microbial clades. Here, we present a proof-of-concept meta-analysis of 606 microbiomes (from nine studies) to assess microbial community responses to: (1) one stressor in one environment: soil warming across a variety of soil types, (2) a range of stressors in one environment: soil microbiome responses to a comprehensive set of stressors (incl. temperature, diesel, antibiotics, land use change, drought, and heavy metals), (3) one stressor across a range of environments: copper exposure effects on soil, sediment, activated-sludge reactors, and gut environments, and (4) the general trends of microbiome stressor responses. Overall, we found that stressor exposure significantly decreases microbiome alpha diversity and increases beta diversity (community dispersion) across a range of environments and stressor types. We observed a hump-shaped relationship between microbial community resistance to stressors (i.e., the average pairwise similarity score between the control and stressed communities) and alpha diversity. We used Phylofactor to identify microbial clades and individual taxa as potential bioindicators of copper contamination across different environments. Using standardized computational and statistical methods, the Microbiome Stress Project will leverage thousands of existing datasets to build a general framework for how microbial communities respond to environmental stress

Light and flow regimes regulate the metabolism of rivers

Mean annual temperature and mean annual precipitation drive much of the variation in productivity across Earth's terrestrial ecosystems but do not explain variation in gross primary productivity (GPP) or ecosystem respiration (ER) in flowing waters. We document substantial variation in the magnitude and seasonality of GPP and ER across 222 US rivers. In contrast to their terrestrial counterparts, most river ecosystems respire far more carbon than they fix and have less pronounced and consistent seasonality in their metabolic rates. We find that variation in annual solar energy inputs and stability of flows are the primary drivers of GPP and ER across rivers. A classification schema based on these drivers advances river science and informs management.We thank Ted Stets, Jordan Read, Tom Battin, Sophia Bonjour, Marina Palta, and members of the Duke River Center for their help in developing these ideas. This work was supported by grants from the NSF 1442439 (to E.S.B. and J.W.H.), 1834679 (to R.O.H.), 1442451 (to R.O.H.), 2019528 (to R.O.H. and J.R.B.), 1442140 (to M.C.), 1442451 (to A.M.H.), 1442467 (to E.H.S.), 1442522 (to N.B.G.), 1624807 (to N.B.G.), and US Geological Survey funding for the working group was supported by the John Wesley Power Center for Analysis and Synthesis. Phil Savoy contributed as a postdoc- toral associate at Duke University and as a postdoctoral associate (contractor) at the US Geological Survey

Nutritional Status of Coronary Artery Disease Patients—Preliminary Results

Introduction: Malnutrition is a condition that negatively impacts the clinical outcomes of numerous diseases. The aim of this study was to assess the nutritional status of coronary artery disease (CAD) patients and to investigate its relationship with the main clinical aspects of CAD. Material and methods: 50 CAD patients undergoing coronary angiography were enrolled in this study. The nutritional status assessment was based on Nutritional Risk Score 2002 (NRS 2002), body mass index (BMI), and bioelectrical impedance analysis (BIA) measurements. Results: The analysis showed a moderate inverse correlation between NRS 2002 and BIA phase angle measured at 50 kHz (R: −0.31; p = 0.03) and Z200/5 parameter (R: 0.34; p = 0.02). The analysis of CAD clinical parameters showed a significant correlation between NRS 2002 and Canadian Cardiovascular Society (CCS) class (R: 0.37; p = 0.01). Left ventricle ejection fraction (LVEF) was correlated with BMI (R: 0.38; p = 0.02), however further BIA revealed hydration changes as LVEF was correlated to intracellular (ICF) and extracellular fluid (ECF) proportion: positively with ICF (R: 0.38; p = 0.02) and negatively with ECF (R: −0.39; p = 0.02). Conclusions: NRS 2002 and BIA are valuable tools for nutritional status assessment in CAD patients. Malnutrition is related to the severity of CAD symptoms, particularly in women. Maintaining proper nutritional status can have a potentially important role in this group of patients

Why are verbal nouns more verbal than finite verbs? New insights into the interpretation of the P200 verbal signature

Traditionally, languages are assumed to minimally manifest a distinction between nouns and verbs. This assumption has occasionally been debated in the theoretical linguistic literature, in particular in the context of challenging verbal noun constructions that simultaneously manifest nominal and verbal features. From a psycholinguistic perspective, one of the most promising diagnostic criteria for determining whether a given word belongs to the category NOUN or VERB is an event-related brain potential (ERP) component, P200, whose amplitude is larger for verbs than for nouns. So far, a challenge for the interpretation of the P200 has been whether this component reflects verbal (e.g., action) semantics, lexical category or verb-related morphological operation. In the present study we report an ERP experiment whose goal was to contribute to a better understanding of the nature of the “verbal” P200 component by monitoring the comprehension of Polish morphologically related finite verbs, converbs, and verbal nouns. Thereby, we manipulated the syntactic category and morphological complexity of the critical words while keeping their semantics identical. The results show that finite verbs engender a smaller amplitude of the P200 component than less prototypical “verbs” such as verbal nouns and converbs. Based on this observation, we argue that the P200 component reflects the brain activation triggered by the demands of verb-related morphological integration processes performed on the verbal base of derived forms

Dietary Isorhamnetin Intake Is Associated with Lower Blood Pressure in Coronary Artery Disease Patients

Background: Recent studies suggest the positive role of flavonols on blood pressure (BP) values, although there are not many conducted on humans. The aim of this study was to examine the relationship between flavonol intake and their main sources of consumption, and systolic (SBP) and diastolic (DBP) BP values in coronary artery disease (CAD) patients. Methods and results: forty CAD patients completed a food-frequency questionnaire dedicated to flavonol-intake assessment. The analysis revealed significant correlation between isorhamnetin intake and SBP values—absolute (R: −0.36; 95% CI: −0.602 to −0.052; p = 0.02), and related to body mass (R: −0.38; 95% CI: −0.617 to −0.076; p = 0.02. This effect was observed in male participants (R: −0.65; 95% CI: −0.844 to −0.302; p = 0.001 and R: −0.63; 95% CI: −0.837 to −0.280; p = 0.002 respectively), but not in female patients. The main contributors were onions, tomatoes, blueberries, apples, tea, coffee and wine. White onion (R: −0.39; 95% CI: −0.624 to −0.088; p = 0.01) consumption was inversely correlated with SBP, and tomato consumption (R: −0.33; 95% CI: −0.581 to −0.020; p = 0.04) with DBP. The comparison between patients with BP < 140 mmHg and ≥140 mmHg revealed significant differences in white onion (p = 0.01) and blueberry (p = 0.04) intake. Conclusions: This study revealed the relationship between long-term dietary isorhamnetin intake and SBP values. The analysis of specific food intake showed that onion, tomato and blueberry consumption could impact BP values. This may suggest that a dietary approach which includes a higher intake of isorhamnetin-rich products could possibly result in BP lowering in CAD patients