Micro-computed tomography (micro-CT) is an important tool in biomedical research and preclinical applications that can provide visual inspection of quantitative information about imaged small animals biological samples such as vasculature specimens. Currently, micro-CT imaging uses projection data acquired at a large number (300-1000) views, which limit system throughput potentially degrade image quality due to radiation-induced deformation or damage the animal specimen. In this work, we...

Food waste has received wide attention due to its hazardous environmental effects, such as soil, water, and air pollution. Evaluating food treatment techniques is imperative realize sustainability. This study proposes an integrated framework, the complex q-rung orthopair fuzzy-generalized TODIM (an acronym in Portuguese for interactive multi-criteria decision-making) method with weighted power geometric operator, assess appropriate technique waste. The assessment of can be divided into three...

In this work, we investigate optimization-based image reconstruction from few-view (i.e. less than ten views) projections of sparse objects such as coronary-artery specimens. Using optimization programs a guide, formulate constraint and develop algorithms to reconstruct images through solving the programs. Characterization studies are carried out for elucidating algorithm properties 'convergence' (relative designed solutions) 'utility' desired by using simulated data calculated discrete...

The field of view (FOV) a cone-beam computed tomography (CBCT) unit in single-photon emission (SPECT)/CBCT system can be increased by offsetting the CBCT detector. Analytic-based algorithms have been developed for image reconstruction from data collected at large number densely sampled views offset-detector CBCT. However, radiation dose involved projections health concern to imaged subject. CBCT-imaging reduced lowering projections. As analytic-based are unlikely reconstruct accurate images...

Increasing interest in optimization-based reconstruction research on, and applications of, cone-beam computed tomography (CBCT) exists because it has been shown to have potential reduce artifacts observed reconstructions obtained with the Feldkamp–Davis–Kress (FDK) algorithm (or its variants), which is used extensively for image current CBCT applications. In this work, we carried out a study on possible reduction of FDK specifically from short-scan data. The investigation includes set...

There is interest in developing computed tomography (CT) dedicated to breast-cancer imaging. Because breast tissues are radiation-sensitive, the total radiation exposure a breast-CT scan kept low, often comparable typical two-view mammography exam, thus resulting challenging low-dose-data-reconstruction problem. In recent years, evidence has been found that suggests iterative reconstruction may yield images of improved quality from low-dose data. this work, based upon constrained image...

Significance Understanding how communities emerge is a fundamental problem in social and economic systems. Here, we experimentally explore the emergence of networks, using ultimatum game as paradigm for capturing individual interactions. We find diverse static networks result local interaction between responders with inherent heterogeneity rational proposers which former act community leaders. In contrast, do not arise populations random interactions, suggesting that structure stabilizes...

The Fine-Kinney model is one of the most extensively adopted classical occupational risk analysis techniques which has been regarded as a helpful means for addressing identification and evaluation problems in various fields. However, current extended models have limited capacity to cope with prioritization considering interactive relationships among multi-risk parameters under inter-uncertain intra-uncertain environments. To overcome limitations, this paper proposes hybrid approach by...

Depression is one of the most common mental disorders. The inactivation tryptophan hydroxylase and resulting serotonin decrease are key factors in depression pathology. Herein, we report for first time that Fe3O4 nanoparticles exhibit hydroxylase-like activity successfully verify their ability to restore synthesis brain treatment depression. To achieve better biocompatibility delivery, were functionalized with chitosan (CS) (Fe3O4@CS), enabling delivery from nose brain. Fe3O4@CS catalyzes...

Kilo-voltage (KV) cone-beam computed tomography (CBCT) unit mounted onto a linear accelerator treatment system, often referred to as on-board imager (OBI), plays an increasingly important role in image-guided radiation therapy. While the FDK algorithm is currently used for reconstructing images from clinical OBI data, optimization-based reconstruction has also been investigated CBCT. An involves numerous parameters, which can significantly impact properties (or utility). The success of...

In this paper a real-time object recognition system is realized, based on the Scale Invariant Feature Transform (SIFT) algorithm. The mainly contains display, camera and an image acquisition processing board developed by our research team. An FPGA chip DSP are embedded in card as major calculation units, which make computation possible. whole algorithm divided into three parts: detection of SIFT keypoints, extraction descriptors final recognition. order to achieve keypoints through hardware...

Abstract Network reconstruction is a fundamental problem for understanding many complex systems with unknown interaction structures. In systems, there are indirect interactions between two individuals without immediate connection but common neighbors. Despite recent advances in network reconstruction, we continue to lack an approach reconstructing networks interactions. Here introduce two-step strategy resolve the problem, where first step, recover both direct and by employing Lasso solve...

To produce a continuous magnetic field of at least 8.5 T in 1.1 m cold bore diameter, the superconducting outsert Grenoble Hybrid magnet is based on novel development Nb-Ti/Cu Rutherford Cable On Conduit Conductor (RCOCC) cooled to 1.8 K by bath superfluid helium pressurized atmospheric pressure. The main results conductor studies and are presented after brief introduction specificity hybrid magnets, namely electromagnetic couplings between resistive coils. Results obtained with short...

<p>In this paper, we were concerned with the multiplicity of large periodic solutions to a super-linear wave equation general variable coefficient. In general, coefficient $ \rho(\cdot) needs be satisfied \text{ess inf}\, \eta_\rho(\cdot) > 0 = \frac{1}{2}\frac{\rho''}{\rho}-\frac{1}{4}\big(\frac{\rho'}{\rho}\big)^2 $. Especially, case is presented as an open problem in [Trans. Amer. Math. 349: 2015-2048, 1997]. Here, without any restrictions on \eta_{\rho}(\cdot) $, established...

The vision system of a mobile robot has to interpret the environment in real time at low power. As good algorithm for extracting information from images, SIFT (Scale Invariant Feature Transform) is widely used computer vision. However, high computational complexity makes it hard achieve real-time performance with pure software. This paper presents machine implementing on an embedded image processing card, where scene recognition accomplished power consumption through cooperation between FPGA...

There has been a renewed interest in algorithm development for image reconstruction from highly incomplete data computed tomography (CT). Such algorithms may lead to reduced imaging dose and time, the design of innovative configurations tailored specific tasks. In recent years, carbon-nanotube (CNT)-based field-emission x-ray source developed, which offers easy electronic control radiation thus can be an ideal candidate gated imaging. We have recently proposed fan- cone-beam collected at...

This paper proposes a new second-order continuous-time multi-agent model and analyzes the controllability of system with multiple leaders based on asymmetric topology. considers more general case: velocity coupling topology is different from location Some sufficient necessary conditions are presented for leaders. In addition, studies damping gain. Simulation results given to illustrate correctness theoretical results.

This paper deals with the state feedback stabilization problem of delayed discrete-time Cohen-Grossberg BAM neural networks. By mathematical induction method, stabilizable conditions are derived to ensure that resulting closed-loop system is globally exponentially stable, and thereby, desired controller designed. These very simple, which can easily verified by using standard toolbox software (for example, MATLAB). The proposed approach directly based on definition global exponential...

Abstract Background Pilomatricoma is a common but easily misdiagnosed tumor in children. Aims To differentiate pilomatricoma from other subcutaneous nodules Patients/Methods Misdiagnosed four children were recorded. Results A red mass on 7‐year‐old boy's head which had been pyogenic granuloma was proved to be pilomatricoma. an 8‐month‐old face infantile hemangioma also turned pilomotricoma. 21‐month‐old girl's breast, pilomatricoma, myofibroma. nodule under 13‐month‐old armpit,...