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Deformable attention only focuses on a small group of key sample-points around the reference point and make itself be able to capture dynamically the local features of input feature map without ... adjust the attention focus based on the specific situation of the input feature map. Deformable self/cross attention only focuses on a small group of key sampling points around the reference point, without
spatial memory task. This task-specific reference frame is stabilized during learning, upon which repeatedly active neurons show little representational drift and maintain their trajectory-specific tuning ... obtained using calcium transients or the rising phase of transients instead of mean calcium signals, or when the decoding analysis was restricted to time points in the central arm before the spatial
anticipating tipping phenomena across scales. Where satellite records are too short for temporal early warning of tipping points, complementary spatial indicators can leverage the exceptional spatial-temporal ... leverage the fine spatial resolution of satellite records to help forewarn of approaching tipping points. Combining Earth observations and models can improve predictions of, e.g., abrupt droughts to avert
characterize known or new tissue-specific cell states without a single-cell reference. Starfysh improves the characterization of spatial dynamics in complex tissues using histology images and enables the ... ., correlation; ref-free, reference free; sc-ref, reference with scRNA-seq data. e, Spatial distribution of marker expression from breast tumor Xenium data used for generating spot-level ground truth to compare to
The purpose of this study was to clarify the relationship between smartphone addiction and miyafascial trigger points in university students. A cross-sectional study of university students was ... and myofascial trigger points Özden Yaşarer1,2*, Emel Mete3, Reyhan Kaygusuz Benli4, Berivan Beril Kılıç2, Halis Doğan5 and Zübeyir Sarı6 Abstract Background The purpose of this study was to clarify
This study examined the temporal profile of spatial frequency processing in a word reading task in 16 normal adult readers. They had to report the word presented in a 200 ms display using a four ... coarse-to-fine theory of visual recognition, the results show that the highest spatial frequency range dominates early processing, with a shift toward lower spatial frequencies at later points during
investigating the spatial field and the far-field polarization of cavity modes. The non-Hermiticity arises from asymmetric backscattering, which is controlled by integrating two scatterers of different size and ... different size and location into a microdisk. We observe that the spatial field overlap of two modes increases abruptly to its maximum value, whilst different far-field elliptical polarizations of two modes
Spatial clustering is an essential method for the comprehensive understanding of a region. Spatial clustering divides all spatial units into different clusters. The attributes of each cluster of the ... similar, and simultaneously, they are as continuous as spatially possible. In spatial clustering, the handling of spatial outliers is important. It is necessary to improve spatial integration so that each
considerable attention recently is the encircling of exceptional points (EPs). To date, most work has focused on systems consisting of two modes that are tuned by two control parameters and have isolated EPs ... , all of the 291 EPs were displayed as individual points (e.g., in Fig. 3 of that paper). For ease of visualization, in the present paper we replace the points with a curve. This curve is a cubic spline
, preventing the estimation of sustainable reference points against which stocks can be assessed. Here, combining fish biomass data for >2000 coral reefs, we estimate site-specific sustainable reference points
This study combined geographic factors to predict Chinese healthy male RBP reference values from a geographic perspective, with the aim of exploring the spatial distribution and regional differences ... in China combined with 16 geographical factors as the base data, the spatial autocorrelation, correlation analysis and support vector machine were used to predict the RBP reference values of healthy
The reference evapotranspiration (ETo) is an essential component in hydrological and ecological processes. The objective of this research is to develop an explicit model to estimate ETo only using ... model was generated using Genetic Programming (GP), evaluated, and validated with reference data ETo using FAO56-PM. This reference data was obtained from different climates (warm-temperate and aridwarm
direction. It has meanwhile become a reference dataset6 for the empirical observation of publicly funded R&D collaboration networks of different types across Europe, also as important part of the RISIS ... umbrella for systematic and cleaned information on project-based R&D projects and collaboration at different spatial levels. In essence, EUPRO comprises information on R&D projects and all participating
This paper focuses on exploring the application possibilities and optimization problems of Generative Adversarial Networks (GANs) in spatial computing to improve design efficiency and creativity and ... constructed to meet various requirements in spatial design by introducing the concept of interactive design and the characteristics of requirement conditions. Next, the generated icons can effectively maintain
Exceptional points (EPs), singularities of non-Hermitian systems, often exhibit exotic behaviors by engineering the balance between the system gain and loss. Now, EPs have been demonstrated to enable ... and the perfect absorption make the current work more suitable for practical applications in all-optical information. Finally, it is worth mentioning the potential of utilizing exceptional points can
Spatial landmarks are crucial in describing histological features between samples or sites, tracking regions of interest in microscopy, and registering tissue samples within a common coordinate ... points with fixed xy coordinates instead of identifying common morphology, as demonstrated in Fig. 5c. a Sample A Sample B b Unsupervised spatial landmark detection c Manually annotate spatial landmarks
This study aims to use spatial transcriptomics to characterize the cell-type-specific expression profile associated with the microscopic features observed in Wooden Breast myopathy. 1 cm3 muscle ... with Visium Spatial Gene Expression kits (10X Genomics), followed by high-resolution imaging and sequencing on the Illumina Nextseq 2000 system. WB classification was based on histopathologic features
points These are discrete curves. In response to a significant problem, a correlation algorithm has been developed between the digitized graphic data and the values of the traditional data through
, neighbouring points, and spatially lagged DTB estimates. Finally, the results were contrasted with DTB predictions based on modelled relationships with the auxiliary variables, as well as conventional spatial ... spatial location of the training points in addition to landscape relationships, incorporating geographic features into the modeling process may improve the predictive power of machine learning DTB models
present a simple yet effective way of controlling nonlinear effects at high peak power levels. This is achieved by leveraging not only the spatial but also the temporal degrees of freedom during multimodal ... -dependent disorders using a fiber shaper. The fiber shaper applies multi-point macro-bending of various bending radii to the fiber and thus alters the multimodal spatial interactions at different time points
