During the past decade, deep learning-based classification methods (e.g., convolutional neural networks—CNN) have demonstrated great success in a variety of vision tasks, including satellite image classification. Deep learning methods, on other hand, do not preserve precise edges targets interest and extract geometric features such as shape area. Previous research has attempted to address issue...

Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from texton methods in texture analysis. The basic idea is to treat images as loose collections of independent patches, sampling a representative set of patches from the image, evaluating a visual descriptor vector for each patch indepe...

PURPOSE This study compared pain, acceptance, and preference associated with 2 topical anesthetics: benzocaine gel and lidocaine patch (DentiPatch). METHODS Thirty patients aged 3 to 10 years participated in this within-subjects study. All children required identical or similar dental work bilaterally (restorations, extractions, endodontic procedures, or sealants). Subjects chose either Denti...

The present study focuses on the use of Convolutional Neural Networks (CNN or ConvNet) to classify a multi-seasonal dataset Sentinel-2 images discriminate four grassland habitats in “Murgia Alta” protected site. To this end, we compared two approaches differing only by first layer machinery, which, one case, is instantiated as fully-connected and, other results ConvNet equipped with kernels cov...

We present a new encoder-decoder Vision Transformer architecture, Patcher, for medical image segmentation. Unlike standard Transformers, it employs Patcher blocks that segment an into large patches, each of which is further divided small patches. Transformers are applied to the patches within patch, constrains receptive field pixel. intentionally make overlap enhance intra-patch communication. ...

Oil and natural gas have been produced in Wyoming since the late 1800s although the rate of extraction has increased substantially in the last two decades. Well pads, roads, and infrastructure built to support resource development alter native vegetation configuration; however, the rate and effect of land cover change resulting from oil and gas extraction has not been quantified across the regi...

the dynamic response of a transversely isotropic, linearly elastic layer bonded to the surface of a half-space of a different transversely isotropic material under arbitrary shape surface loads is considered. with the help of displacements and stresses green’s functions, an analytical formulation is presented for the determination of the displacements and stresses at any point in both surface l...

AIMS We developed a system for measuring glucose area under the curve (AUC) using minimally invasive interstitial fluid extraction technology (MIET). Sweat contamination during interstitial fluid glucose (IG) extraction affects the accuracy of glucose AUC measurement, because this technology uses extracted sodium ion levels as an internal standard. Therefore, we developed a sweat monitoring pat...

BACKGROUND A sensitive gas chromatography-negative ion chemical ionization mass spectrometry (GC/MS-NICI) method was developed and validated for the measurement of Delta(9)-tetrahydrocannabinol (THC) in human sweat patches. METHODS THC-d(0) and THC-d(3) were added to worn blank sweat patches (PharmChek; PharmChem Incorporated) and extracted with 3 mL of methanol-0.2 mol/L sodium acetate buffe...

abstract competition is a phenomenon that influences the size, structure and stability of insect communities, particularly on solitary endoparasitoids species. although, competition normally incurs costs, it might be adaptive for the surviving individual. to determine which factors affect the patch use strategy of foragers under competition, the effect of previous experience with hosts already-...