An approach to metal fatigue

Cumulative fatigue damage based on investigation of fatigue limit associated with crack, crack propagation rate, and stress interaction cycle in metal

Harvest monitoring of Kenyan tea plantations with X-band SAR

Tea is an important cash crop in Kenya, grown in a climatically restricted geographic area where climatic variability is starting to affect yield productivity levels. This paper assesses the feasibility of monitoring tea growth between, but also within fields, using X-band COSMO-SkyMed SAR images (five images at VV polarization and five images at HH polarization). We detect the harvested and nonharvested areas for each field, based on the loss of interferometric coherence between two images, with an accuracy of 52% at VV polarization and 74% at HH polarization. We then implement a normalization method to isolate the scattering component related to shoot growth and eliminate the effects of moisture and local incidence angle. After normalization, we analyze the difference in backscatter between harvested and nonharvested areas. At HH polarization, our backscatter normalization reveals a small decrease (∼0.1 dB) in HH backscatter after harvest. However, this decrease is too small for monitoring shoot growth. The decrease is not clear at VV polarization. This is attributed to the predominantly horizontal orientation of the harvested leaves

Unpulsed UBV Optical Emission from the Crab Pulsar

Based on observations of the Crab pulsar using the TRIFFID high speed imaging photometer in the UBV bands using the Special Astrophysical Observatory's 6m telescope in the Russian Caucasus, we report the detection of pronounced emission during the so-called `off' phase of emission. Following de-extinction, this unpulsed component of emission is shown to be consistent with a power law with an exponent of alpha = -0.60 +/- 0.37, the uncertainty being dominated by the error associated with the independent CCD photometry used to reference the TRIFFID data. This suggests a steeper power law form than that reported elsewhere in the literature for the total integrated spectrum, which is essentially flat with alpha ~ 0.1, although the difference in this case is only significant at the ~ 2 sigma level. Deeper reference integrated and TRIFFID phase-resolved photometry in these bands in conjunction with further observations in the UV and R region would constrain this fit further.Comment: 26 pages, 2 figures, uses aasms4.sty, accepted for publication in the Astrophysical Journa

Adopting basic principles of the United Nations Academic Impact initiative (UNAI): Can cultural differences be predicted from value orientations and globalization?

© 2017 Nechtelberger, Renner, Nechtelberger, Supeková, Hadjimarkou, Offurum, Ramalingam, Senft and Redfern. The United Nations Academic Impact (UNAI) Initiative has set forth 10 Basic Principles for higher education. In the present study, a 10 item self-report questionnaire measuring personal endorsement of these principles has been tested by self-report questionnaires with university and post-graduate students from Austria, China, Cyprus, India, Nigeria, and Slovakia (total N = 976, N = 627 female, mean age 24.7 years, s = 5.7). Starting from the assumptions of Moral Foundations Theory (MFT), we expected that personal attitudes toward the UNAI Basic Principles would be predicted by endorsement of various moral foundations as suggested by MFT and by the individual's degree of globalization. Whereas for the Austrian, Cypriot, and Nigerian sub- samples this assumption was largely confirmed, for the Chinese, Indian, and Slovak sub- samples only small amounts of the variance could be explained by regression models. All six sub-samples differed substantially with regard to their overall questionnaire responses: by five discriminant functions 83.6% of participants were classified correctly. We conclude that implementation of UNAI principles should adhere closely to the cultural requirements of the respective society and, where necessary should be accompanied by thorough informational campaigns about UN educational goals

FLORA: a novel method to predict protein function from structure in diverse superfamilies

Predicting protein function from structure remains an active area of interest, particularly for the structural genomics initiatives where a substantial number of structures are initially solved with little or no functional characterisation. Although global structure comparison methods can be used to transfer functional annotations, the relationship between fold and function is complex, particularly in functionally diverse superfamilies that have evolved through different secondary structure embellishments to a common structural core. The majority of prediction algorithms employ local templates built on known or predicted functional residues. Here, we present a novel method (FLORA) that automatically generates structural motifs associated with different functional sub-families (FSGs) within functionally diverse domain superfamilies. Templates are created purely on the basis of their specificity for a given FSG, and the method makes no prior prediction of functional sites, nor assumes specific physico-chemical properties of residues. FLORA is able to accurately discriminate between homologous domains with different functions and substantially outperforms (a 2–3 fold increase in coverage at low error rates) popular structure comparison methods and a leading function prediction method. We benchmark FLORA on a large data set of enzyme superfamilies from all three major protein classes (α, β, αβ) and demonstrate the functional relevance of the motifs it identifies. We also provide novel predictions of enzymatic activity for a large number of structures solved by the Protein Structure Initiative. Overall, we show that FLORA is able to effectively detect functionally similar protein domain structures by purely using patterns of structural conservation of all residues

COVID-19 in children: Clinical presentation and hospital course at a district hospital in South Africa

Limited data exist on South African children hospitalised with COVID-19 in district hospitals. We describe the presentation and outcomes of children admitted to a level 1 and 2 hospital and compare this with children admitted to a level 2 and 3 hospital. Contribution: This study highlights that young age is an important risk factor for hospitalisation with severe COVID-19. Infants with HIV exposure and prematurity are disproportionately represented among admissions. Furthermore, we notice a high number of children with current or new tuberculosis confirming the interplay between viral infections and childhood tuberculosis