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... There are multiple flow paths with different flow directions in fracture intersections. A general flow model synthetically describing the nonlinear flow behavior of multiple flow paths in different directions in two-dimensional fracture intersections was proposed for the analysis of fluid flow in rock fracture networks. The flow behavior of seven typical fracture intersection models, according to ...
banking; branches; branching; market structure; research policy
Abstract:
... We investigate the relationship between deposit growth and branch deposit competitiveness. We introduce a new measure of competitiveness focused at the branch level that utilizes granular product data. We find more competitive branches have higher rates of deposit growth that vary across product types and local market structures. The new measure of competitiveness at the branch level is intended t ...
... Lunar crater detection plays an important role in lunar exploration, while machine learning (ML) exhibits promising advantages in the field. However, previous ML works almost all used a single type of lunar map, such as an elevation map (DEM) or orthographic projection map (WAC), to extract crater features; the two types of images have individual limitations on reflecting the crater features, whic ...
... Developmental self-assembly of DNA nanostructures provides an ideal platform for studying the power and programmability of kinetically controlled structural growth in engineered molecular systems. Triggered initiation and designated sequencing of assembly and disassembly steps have been demonstrated in structures with branches and loops. Here we introduce a new strategy for selectively activating ...
... Ultra-low frequency oscillations are the typical dynamic stability problem of hydropower-dominated power systems. Hydraulic factors can directly affect hydropower unit damping, and related studies focus on the influence of hydraulic parameters on unit damping under a fixed operation situation, while ignoring the characteristics of water diversion system topologies (WDST) and diverse hydropower ope ...
... The current volume of the Journal of Comparative Physiology A marks a transition in editorship. This event provides the opportunity to reflect on the 98 years of the history of the Journal; on the impact of its legacy on the evolution of neuroethology and the comparative branches of sensory physiology and neurobiology; and on future changes in editorial organization and content. ...
... Building segmentation for remote sensing images usually requires pixel-level labels which is difficult to collect when the images are in low resolution and quality. Recently, weakly supervised semantic segmentation methods have achieved promising performance, which only rely on image-level labels for each image. However, buildings in remote sensing images tend to present regular structures. The la ...
branches; branching; design; exhibitions; extracts; image analysis; information processing; mining; remote sensing; spatial data
Abstract:
... Water area segmentation is an important branch of remote sensing image segmentation, but in reality, most water area images have complex and diverse backgrounds. Traditional detection methods cannot accurately identify small tributaries due to incomplete mining and insufficient utilization of semantic information, and the edge information of segmentation is rough. To solve the above problems, we p ...
... To define electrocardiographic features of complete left bundle branch block (LBBB) and right bundle branch block (RBBB), and the use of R-peak time (RPT) to identify interventricular dyssynchrony in dogs with BBB. Twelve-lead ECG tracings of 20 dogs with RBBB, 20 with LBBB, and 60 healthy dogs were retrospectively analyzed and RPT was measured in precordial leads. Interventricular dyssynchrony in ...
branches; branching; data collection; extracts; image analysis; remote sensing; wills
Abstract:
... Pansharpening is an important yet challenging remote sensing image processing task, which aims to reconstruct a high-resolution (HR) multispectral (MS) image by fusing a HR panchromatic (PAN) image and a low-resolution (LR) MS image. Though deep learning (DL)-based pansharpening methods have achieved encouraging performance, they are infeasible to fully utilize the deep semantic features and shall ...
... Due to the scarcity and high cost of labeled hyperspectral image (HSI) samples, many deep learning methods driven by massive data cannot achieve the intended expectations. Semi-supervised and self-supervised algorithms have advantages in coping with this phenomenon. This paper primarily concentrates on applying self-supervised strategies to make strides in semi-supervised HSI classification. Notab ...
... A general synthetic approach to molecular structures that are hybrids of tetraethynylethylene (TEE) and tetravinylethylene (TVE) is reported. The synthesis permits the controlled preparation of many previously inaccessible structures, including examples with different substituents on each of the four branching arms. Most substituted TVE–TEE hybrids are found to be significantly more robust compoun ...
... Spiders are unique in having a dual respiratory system with book lungs and tracheae, and most araneomorph spiders breathe simultaneously via book lungs and tracheae, or tracheae alone. The respiratory organs of spiders are diverse but relatively conserved within families. The small araneoid spiders of the symphytognathoid clade exhibit a remarkably high diversity of respiratory organs and arrangem ...
branches; branching; data collection; exhibitions; image analysis; remote sensing; texture
Abstract:
... Remote sensing images are widely used in many applications. However, due to being limited by the sensors, it is difficult to obtain high-resolution (HR) images from remote sensing images. In this paper, we propose a novel unsupervised cross-domain super-resolution method devoted to reconstructing a low-resolution (LR) remote sensing image guided by an unpaired HR visible natural image. Therefore, ...
... Instance segmentation for high-resolution remote sensing images (HRSIs) is a fundamental yet challenging task in earth observation, which aims at achieving instance-level location and pixel-level classification for instances of interest on the earth’s surface. The main difficulties come from the huge scale variation, arbitrary instance shapes, and numerous densely packed small objects in HRSIs. In ...
... The short lifetimes of multibranch delta systems are proved based on the theory of dynamic stability of delta branches and causes of its violation. Typical cases of such brevity and natural causes of the decay of some branches and the activation of others are considered. Examples of such processes in different deltas are given. ...
... In the current mainstream development of polymer semiconductors aiming for high charge carrier mobility, the degree of intermolecular orbital overlap has not been taken into deep consideration, since the molecular packing arrangement at the atomic scale cannot be predicted. Here, we demonstrate the utility of a unique π-conjugated building block for a p-type polymer semiconductor, namely, chryseno ...
... Inarching is the most widely practised vegetative method of propagation for multiplication of jackfruit in tarai region, but the method is cumbersome, and produces less number of plants from a single mother plant. Therefore, the present experiment was conducted to find out other alternative method for commercial propagation of jackfruit. The study was conducted for twelve months with five methods ...
Monte Carlo method; branches; branching; environmental factors; organisms; phylogeny; testing
Abstract:
... A new phylogenetic comparative method called DUALCOR is presented to evaluate the evolutionary response of a character to non‐evolving external factors, such as environmental variables. The method treats the character as a typical evolving feature of an organism that is reconstructed on a given tree, whereas the external factor is treated as unrelated to the phylogeny. DUALCOR first calculates the ...
... Ship detection is a challenging task for synthetic aperture radar (SAR) images. Ships have arbitrary directionality and multiple scales in SAR images. Furthermore, there is a lot of clutter near the ships. Traditional detection algorithms are not robust to these situations and easily cause redundancy in the detection area. With the continuous improvement in resolution, the traditional algorithms c ...