Quantum-Dot Cellular Automata (QCA) is a radical technology, which works at Nanoscale.Due to its numerous advantages over the conventional CMOS-based digital circuits, researchers are now concentrating more on designing circuits using this technology.Researchers have reported various findings in field till now.In paper, modular 2:1 Multiplexer has been designed followed by application of 1-bit parallel memory.A 4:1 MUX cascading two multiplexers.This paper also incorporates comparative...

QCA (Quantum Dot Cellular Automata) is an emerging and pioneer technology, which a paradigm for computing with interacting quantum dots.Many eminent researchers have well thought of eloquent work in the existing areas sequential circuit.However, this paper proclaims three new approaches to design JK T flip-flop.Since flip-flops memory are crucial building blocks digital circuits, therefore we concern underlying principle fundamental flip-flop then out model structure favorable forthcoming...

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL Prediction of Radiologic Outcome-Optimized Dose Plans and Post-Treatment Magnetic Resonance Images: A Proof-of-Concept Study Breast Cancer Brain Metastases Treated with Stereotactic Radiosurgery 22 Pages Posted: 17 Jan 2024 See all articles by Shraddha PandeyShraddha PandeyH. Lee Moffitt Center Research InstituteTugce KutukH. InstituteMahmoud A....

Introduction: A new Plaque-RADS classification (I-IV) is proposed to categorize the degree of carotid plaque instability and risk embolic ischemic stroke. We tested in a cohort patients with stroke undetermined source (ESUS) imaged neck CTAs. Methods: Patients unilateral anterior circulation due ESUS CTAs showing <50% stenosis were retrospectively identified. Carotid total thickness ulceration scored by neuroradiologist blinded side. semiautomated segmentation software measured...

Sign language is a crucial medium of communication for individuals with hearing impairments. However, the lack efficient tools converting sign into text limits accessibility information this community. In paper, we propose novel approach to conversion using Long Short-Term Memory (LSTM) neural networks. LSTM networks are well- suited sequential data processing, making them an ideal candidate capturing temporal dependencies inherent in gestures. We present architecture our model, discuss...

Stereotactic radiosurgery (SRS) can provide effective local control of breast cancer metastases to the brain while limiting damage surrounding healthy tissues. Knowledge-based algorithms have been reported that alleviate manual aspects radiation dose planning, but these do not currently voxel-level prescriptions are optimized for tumor and avoidance radionecrosis associated toxicity. On assumption a voxelwise relationship exists between pre-SRS MR images, RT map, resulting post-SRS we...

Cucurbit crops include melons, cucumbers, squashes, and gourds - all of which are very important in global agriculture increasingly at risk as a result undetected or asymptomatic viral infections. These "stealth" infections often evade detection during visual inspections conventional diagnostic tests, with yellowing symptoms that may mask nutrient deficiencies other plant stresses, remain asymptomatic, silently affecting crop health. This study investigates the presence hidden cucurbit...

This paper presents an optimised torque trajectory for biped robot based on human walking gait data. A mathematical dynamic model of leg a having active hip, knee and ankle joint is considered here performance. The obtained from calculation dynamics the basis cost function to minimise energy dissipation. Torque using simulation software BRG LifeMOD. three trajectories namely simulated, calculated are compared, in this can be directly used as input control theoretic applications humanoid...

Multispectral analysis of coregistered multiparametric magnetic resonance (MR) images provides a powerful method for tissue phenotyping and segmentation. Acquisition sufficiently varied set multicontrast MR parameter maps to objectively define multiple normal pathologic types can require long scan times. Accelerated MRI on clinical scanners with multichannel receivers exploits techniques such as parallel imaging, while accelerated preclinical scanning must rely alternate approaches. In this...

This study presents a cluster analysis framework for acoustic signals of the novel catheter stethoscope. The objective current is to collect blood flow sounds from body site Yorkshire pig using stethoscope and further recognize any changes in sinus rhythm patterns. Initially collected are preprocessed with noise cancellation wavelet source separation result heart respiratory pulses. Then, extracted pulses post processed patterns based on feature extraction technique analysis. Finally,...

With the enhancement in world of wireless communications, need for multipurpose devices has increased.This can be fulfilled with reconfigurable antennas In this paper, frequency microstrip patch antenna is presented.In design it makes use two patches same shapes order to tune multiple frequencies.The make micro strip feeding technique, PIN diode used switching between different capable resonating at a 2.4574GHz and 5.907GHz, when On State.It will generate 3.296GHz.When OFF state.This...

Stereotactic Radiosurgery (SRS) of asymptomatic brain metastases provides lasting tumor control with only minor side effects to healthy brain. An active research area is the development models predict response a given dose Radiation Treatment (RT) from analysis pre-RT and post-RT MR images (i.e., forward problem). Here we propose an approach train deep neural net on patients Breast Cancer Metastases Brain (BCMB), for predicting RT maps that will yield desired/target voxel intensities inverse

In this paper, an efficient procedure to identify vital bio-signals from the Fetal Phonocardiogram (FPCG) signal is presented. FPCG rich in physiological bio-signals. However, extracting these with fidelity a challenging task since they overlap time and frequency as well corrupted by noise induced maternal fetal movements. While current approaches use two-step process of de-noising then extract bio-signals, Empirical Mode Decomposition (EMD) algorithm can efficiently de-noise heart sounds...

In recent time, world have seen a rapid growth in wireless communication. Development antenna from single band to dual and multi had made the system more compact. A frequency reconfigurable microstrip using PIN diode for multiband operation is many application hot research area. this paper, patch antennas their types like frequency, polarization, radiation pattern gain are described.

Abstract BACKGROUND Stereotactic radiosurgery (SRS) is a cornerstone in the management of Breast Cancer Metastases to Brain (BCMB). While control rates are high following SRS, radiation necrosis rare but potentially devastating long-term toxicity. There clinical need for automated/semi-automated methods assess tumor response and optimize RT plans local with minimal Multiparametric MRI (mpMRI), particularly Apparent Diffusion Coefficient water (ADC) maps, contain information that...