The international transfer of wind power technology to Brazil and China

Enhancing developing countries' access to climate technologies is an important contribution to effectively addressing climate change at the global level. In this study, we analyses the drivers and barriers for the transfer of wind power technology from the perspective of multinational technology suppliers. The findings and comparison of two case studies on the transfer of wind power technology to China and Brazil are presented, focusing on which transfer channels were chosen and why, as well as what kind of impact this choice had on the local diffusion of the transferred technology. While the case study on China arrives at the conclusion that a variety of transfer channels are used and hybrid governance modes, such as licensing and joint ventures, are favored in particular, the Brazilian case revealed that transfers within multinational companies to their subsidiaries are by far the dominant transfer channel. Both case studies revealed that government restrictions have a considerable impact on the choice of transfer channel, which is due both to the strong involvement of the receiving countries' governments in market creation activities for renewable energies and to their control over energy markets and infrastructures. [...

Shells of coconut and their durability against termite attack

All tropical and subtropical areas of the Earth are inhabited by termites. In climates with moderate temperatures, they occur less frequently. Especially wood and non-wood materials that grows in tropical areas and used there in timber constructions and woodworking, wood durability and protection against termites should be researched. This paper reports findings from an experimental “AW011” laboratory forced- and choice- termite tests on the durability of shells of Coconut (Cocos nucifera L.) against termite attack by Reticulitermes santonensis de Feytaud to see if there could be any new use for them. Two reference tropical hardwoods were compared: Teak heartwood (Tectona grandis L.f.) as naturally durable and Jelutong sapwood (Dyera costulata Hook. f. (Miq.)) as non-durable wood. Furthermore, we compared with Beech (Fagus sylvatica L.). Pine sapwood (Pinus sylvestris L.) was the control for the tests. Overall from test varieties, termite mortality, visual rating and mass loss data, coconut shells and teak heartwood were comparably termite resistant. Jelutong and beech were rated moderately resistant while Pine was clearly susceptible among these non-durable woods

A vicious cycle of β amyloid-dependent neuronal hyperactivation

beta-amyloid (A beta)-dependent neuronal hyperactivity is believed to contribute to the circuit dysfunction that characterizes the early stages of Alzheimer's disease (AD). Although experimental evidence in support of this hypothesis continues to accrue, the underlying pathological mechanisms are not well understood. In this experiment, we used mouse models of A beta-amyloidosis to show that hyperactivation is initiated by the suppression of glutamate reuptake. Hyperactivity occurred in neurons with preexisting baseline activity, whereas inactive neurons were generally resistant to A beta-mediated hyperactivation. A beta-containing AD brain extracts and purified A beta dimers were able to sustain this vicious cycle. Our findings suggest a cellular mechanism of A beta-dependent neuronal dysfunction that can be active before plaque formation

Follicular thyroid carcinoma with an unusual glomeruloid pattern of growth.

We describe an uncommon thyroid tumor in a 56-year-old woman. The widely infiltrating, angioinvasive neoplasm, 5 cm in diameter, exhibited a peculiar architectural growth pattern characterized by follicles with round to oval epithelial tufts growing within, often supported by a fibrovascular core mimicking the renal glomerulus. Colloid-empty follicles, tubular or elongated, were lined by pseudostratified tall, columnar cells with clear cytoplasm. Nuclei were round to oval, with evenly distributed, slightly coarse chromatin. Tumor cells were positive for thyroid transcription factor-1, thyroperoxidase, thyroglobulin, cytokeratin 18, Hector Battifora mesothelial cell, and vimentin. Scattered cells positive for S100, Wilms tumor 1 (WT1), and cytokeratins AE1/AE3 were found, with no reaction detected for cytokeratins 34betaE12, 5/6, 7, 19, or 20. There were PAX8-PPARgamma rearrangement and N-RAS mutation. No mutations were found for APC or BRAF genes, nor were RET/PTC rearrangements detected. Because of the distinctive histologic features, we propose naming this tumor follicular thyroid carcinoma with an unusual glomeruloid pattern of growth

Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge

Motivation: After more than a decade since microarrays were used to predict phenotype of biological samples, real-life applications for disease screening and identification of patients who would best benefit from treatment are still emerging. The interest of the scientific community in identifying best approaches to develop such prediction models was reaffirmed in a competition style international collaboration called IMPROVER Diagnostic Signature Challenge whose results we describe herein. Results: Fifty-four teams used public data to develop prediction models in four disease areas including multiple sclerosis, lung cancer, psoriasis and chronic obstructive pulmonary disease, and made predictions on blinded new data that we generated. Teams were scored using three metrics that captured various aspects of the quality of predictions, and best performers were awarded. This article presents the challenge results and introduces to the community the approaches of the best overall three performers, as well as an R package that implements the approach of the best overall team. The analyses of model performance data submitted in the challenge as well as additional simulations that we have performed revealed that (i) the quality of predictions depends more on the disease endpoint than on the particular approaches used in the challenge; (ii) the most important modeling factor (e.g. data preprocessing, feature selection and classifier type) is problem dependent; and (iii) for optimal results datasets and methods have to be carefully matched. Biomedical factors such as the disease severity and confidence in diagnostic were found to be associated with the misclassification rates across the different teams. Availability: The lung cancer dataset is available from Gene Expression Omnibus (accession, GSE43580). The maPredictDSC R package implementing the approach of the best overall team is available at www.bioconductor.org or http://bioinformaticsprb.med.wayne.edu/. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics onlin

Near-complete genome sequences of multiple genotype 1 African swine fever virus isolates from 2016 to 2018 in Cameroon

African swine fever virus has been endemic in Cameroon since 1982. Here, we announce the sequences of Cameroon/2016/C1, Cameroon/2016/C5, Cameroon/2017/C-A2, Cameroon/2018/C02, and Cameroon/2018/CF3, five genotype 1 African swine fever virus genomes collected from domestic pigs between 2016 and 2018

Measurement of the cosmic ray spectrum above 4×10184{\times}10^{18} eV using inclined events detected with the Pierre Auger Observatory

A measurement of the cosmic-ray spectrum for energies exceeding $4{\times}10^{18}$ eV is presented, which is based on the analysis of showers with zenith angles greater than $60^{\circ}$ detected with the Pierre Auger Observatory between 1 January 2004 and 31 December 2013. The measured spectrum confirms a flux suppression at the highest energies. Above $5.3{\times}10^{18}$ eV, the "ankle", the flux can be described by a power law $E^{-\gamma}$ with index $\gamma=2.70 \pm 0.02 \,\text{(stat)} \pm 0.1\,\text{(sys)}$ followed by a smooth suppression region. For the energy ($E_\text{s}$) at which the spectral flux has fallen to one-half of its extrapolated value in the absence of suppression, we find $E_\text{s}=(5.12\pm0.25\,\text{(stat)}^{+1.0}_{-1.2}\,\text{(sys)}){\times}10^{19}$ eV.Comment: Replaced with published version. Added journal reference and DO

Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory

The Auger Engineering Radio Array (AERA) is part of the Pierre Auger Observatory and is used to detect the radio emission of cosmic-ray air showers. These observations are compared to the data of the surface detector stations of the Observatory, which provide well-calibrated information on the cosmic-ray energies and arrival directions. The response of the radio stations in the 30 to 80 MHz regime has been thoroughly calibrated to enable the reconstruction of the incoming electric field. For the latter, the energy deposit per area is determined from the radio pulses at each observer position and is interpolated using a two-dimensional function that takes into account signal asymmetries due to interference between the geomagnetic and charge-excess emission components. The spatial integral over the signal distribution gives a direct measurement of the energy transferred from the primary cosmic ray into radio emission in the AERA frequency range. We measure 15.8 MeV of radiation energy for a 1 EeV air shower arriving perpendicularly to the geomagnetic field. This radiation energy -- corrected for geometrical effects -- is used as a cosmic-ray energy estimator. Performing an absolute energy calibration against the surface-detector information, we observe that this radio-energy estimator scales quadratically with the cosmic-ray energy as expected for coherent emission. We find an energy resolution of the radio reconstruction of 22% for the data set and 17% for a high-quality subset containing only events with at least five radio stations with signal.Comment: Replaced with published version. Added journal reference and DO

Measurement of the Radiation Energy in the Radio Signal of Extensive Air Showers as a Universal Estimator of Cosmic-Ray Energy

We measure the energy emitted by extensive air showers in the form of radio emission in the frequency range from 30 to 80 MHz. Exploiting the accurate energy scale of the Pierre Auger Observatory, we obtain a radiation energy of 15.8 \pm 0.7 (stat) \pm 6.7 (sys) MeV for cosmic rays with an energy of 1 EeV arriving perpendicularly to a geomagnetic field of 0.24 G, scaling quadratically with the cosmic-ray energy. A comparison with predictions from state-of-the-art first-principle calculations shows agreement with our measurement. The radiation energy provides direct access to the calorimetric energy in the electromagnetic cascade of extensive air showers. Comparison with our result thus allows the direct calibration of any cosmic-ray radio detector against the well-established energy scale of the Pierre Auger Observatory.Comment: Replaced with published version. Added journal reference and DOI. Supplemental material in the ancillary file