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[Ecologically suitable places pertaining to increasing Scutellaria baicalensis around the world: an evaluation depending on GMPGIS].
The tongue is capable of producing intelligible speech because of successful orchestration of muscle groupings-i.e., functional units-of the highly complex muscles over time. Due to the different motions that tongues produce, functional units are transitional structures which transform muscle activity to surface tongue geometry and they vary significantly from one subject to another. In order to compare and contrast the location and size of functional units in the presence of such substantial inter-person variability, it is essential to study both common and subject-specific functional units in a group of people carrying out the same speech task. In this work, a new normalization technique is presented to simultaneously identify the common and subject-specific functional units defined in the tongue when tracked by tagged magnetic resonance imaging. To achieve our goal, a joint sparse non-negative matrix factorization framework is used, which learns a set of building blocks and subject-specific as well as common weighting matrices from motion quantities extracted from displacements. A spectral clustering technique is then applied to the subject-specific and common weighting matrices to determine the subject-specific functional units for each subject and the common functional units across subjects. Our experimental results using in vivo tongue motion data show that our approach is able to identify the common and subject-specific functional units with reduced size variability of tongue motion during speech.This work focuses on the definition and study of the n-dimensional k-vector, an algorithm devised to perform orthogonal range searching in static databases with multiple dimensions. The methodology first finds the order in which to search the dimensions, and then, performs the search using a modified projection method. In order to determine the dimension order, the algorithm uses the k-vector, a range searching technique for one dimension that identifies the number of elements contained in the searching range. Then, using this information, the algorithm predicts and selects the best approach to deal with each dimension. The algorithm has a worst case complexity of O ( n d ( k / n ) 2 / d ) , where k is the number of elements retrieved, n is the number of elements in the database, and d is the number of dimensions of the database. This work includes a detailed description of the methodology as well as a study of the algorithm performance.The actual Corona crisis has a negative impact on the economic situation of the affected economies. This has direct consequences for the EU-wide trading of greenhouse gas emission allowances, which is an important building block of European climate change policy. In contrast, although there is an expected short-term decrease in the volume of greenhouse gas emissions due to the emerging economic recession, we should also expect lower prices of emission allowances in the mid to long term, which will make current production technologies more attractive. One important goal of European climate change policy - changing existing manufacturing technologies to less greenhouse gas emitting alternatives - will become even more difficult.On 9 April 2020, the euro area finance ministers agreed on credit lines with the European Stability Mechanism (ESM) to counter the corona crisis. The ESM loans are estimated at 200 billion euros. However, this figure is misleading. Only a few states would benefit at all over a 10-year government bond in their own country. Moreover, the scope of ESM loans is limited.The German debate about the policy implications of the coronavirus becomes increasingly heated given different views on the mortality rate from SARS CoV-2, as well as the epidemiological and economic impact of lockdown measures imposed by the government. Impact analysis applying features of randomised control trials would provide clear evidence. However, this is currently unavailable due to a lack of an appropriate control group of countries without measures. Thus, polarisation is likely to rise if observed mortality rates remain low.The problem of backscattering of light by a discrete random medium illuminated by an obliquely incident plane electromagnetic wave is considered. The analysis is performed in a linear-polarization basis and includes (i) a complete derivation of the cross reflection matrix for a layer with densely and sparsely distributed particles, (ii) the design of an approximate method for computing the ladder and cross reflection matrices in the case of a semi-infinite medium with a sparse distribution of particles, (iii) the derivation of the relations between the elements of the ladder and cross reflection matrices in the exact backscattering direction for dense and sparse media, and (iv) the development of practical algorithms for solving the underlying integral equations by the method of Picard iterations and the discrete ordinate method. Simulation results for particles with large size parameters are also presented.The combination of morphometrics, phylogenetic comparative methods, and open data sets has renewed interest in relating morphology to adaptation and ecological opportunities. Focusing on the Caviomorpha, a well-studied mammalian group, we evaluated patterns in research and data sharing in studies relating form and function. Caviomorpha encompasses a radiation of rodents that is diverse both taxonomically and ecologically. We reviewed 41 publications investigating ecomorphology in this group. We recorded the type of data used in each study and whether these data were made available, and we re-digitized all provided data. We tracked two major lines of information collections material examined and trait data for morphological and ecological traits. selleck compound Collectively, the studies considered 63% of extant caviomorph species; all extant families and genera were represented. We found that species-level trait data rarely were provided. Specimen-level data were even less common. Morphological and ecological data were too htiendo la futura integración de datos derivados de ejemplares con datos sobre rasgos ecomorfológicos a nivel de especie.
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