Results 71 to 80 of about 286,579 (299)

Is the threatened land crab Cardisoma guanhumi conquering human‐dominated systems?

open access: yesEcology and Evolution
Land use changes are heralded as a major driver of biodiversity loss. However, recent findings show that cities, perhaps the most radical habitat transformation, sustain increasing numbers of threatened species.
José M. Riascos   +2 more
doaj   +1 more source

On Quadratic Inverses for Quadratic Permutation Polynomials over Integer Rings [PDF]

open access: yes, 2005
An interleaver is a critical component for the channel coding performance of turbo codes. Algebraic constructions are of particular interest because they admit analytical designs and simple, practical hardware implementation.
Ryu, Jonghoon, Takeshita, Oscar Y.
core   +1 more source

Correspondence of MRI and nTMS With EDSS in Multiple Sclerosis: Longitudinal Follow‐Up Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Considering the characteristics of multiple sclerosis (MS) disease and its impact on motor disability, this study aims to assess the functional integrity of the corticospinal tract by examining motor evoked potentials (MEPs), Expanded Disability Status Scale (EDSS) scores, magnetic resonance imaging (MRI) lesion counts, and ...
Antonia Bralić   +13 more
wiley   +1 more source

Prediction of the information processing speed performance in multiple sclerosis using a machine learning approach in a large multicenter magnetic resonance imaging data set

open access: yesHuman Brain Mapping, Volume 44, Issue 1, Page 186-202, January 2023., 2023
We developed an advanced machine learning pipeline to identify brain structural magnetic resonance imaging (MRI) volumes that, along with demographic and clinical data, predict information processing speed (IPS) performance, assessed with the Symbol Digit Modalities Test (SDMT), of patients with multiple sclerosis (MS).
Chiara Marzi   +14 more
wiley   +1 more source

Recurrent neural network based turbo decoding algorithms for different code rates

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Application of deep learning to error control coding is gaining special attention and neural network architectures on decoding are approached to compare with conventional ones. Turbo codes conventionally use BCJR algorithm for decoding.
Shridhar B. Devamane   +1 more
doaj  

A Purely Symbol-Based Precoded and LDPC-Coded Iterative-Detection Assisted Sphere-Packing Modulated Space-Time Coding Scheme [PDF]

open access: yes, 2006
In this contribution, we propose a purely symbol-based LDPC-coded scheme based on a Space-Time Block Coding (STBC) signal construction method that combines orthogonal design with sphere packing, referred to here as (STBCSP).
Alamri, O.   +3 more
core   +1 more source

Spinal Cord Abnormalities in Early Pediatric Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Spinal cord lesions and atrophy in the cervical region are common in adult multiple sclerosis (MS) and correlate with disability. Whether similar abnormalities occur in pediatric MS patients is largely unknown. Clinical and MRI evaluations were performed in 38 pediatric MS patients and 13 healthy controls (HC).
Monica Margoni   +7 more
wiley   +1 more source

Learning to Learn Quantum Turbo Detection [PDF]

open access: yesarXiv, 2022
This paper investigates a turbo receiver employing a variational quantum circuit (VQC). The VQC is configured with an ansatz of the quantum approximate optimization algorithm (QAOA). We propose a 'learning to learn' (L2L) framework to optimize the turbo VQC decoder such that high fidelity soft-decision output is generated.
arxiv  

Two-tier channel estimation aided near-capacity MIMO transceivers relying on norm-based joint transmit and receive antenna selection [PDF]

open access: yes, 2015
We propose a norm-based joint transmit and receive antenna selection (NBJTRAS) aided near-capacity multiple-input multiple-output (MIMO) system relying on the assistance of a novel two-tier channel estimation scheme. Specifically, a rough estimate of the
Chen, Sheng   +2 more
core   +1 more source

Conducting Polymer Microelectrode Arrays for Simultaneous Electrophysiology and Advanced Brain Imaging

open access: yesAdvanced Functional Materials, EarlyView.
A flexible micro‐electrocorticography array with PEDOT:SS electrodes is shown to be compatible with ultra‐high magnetic field MRI up to 9.4 T. Multimodal brain monitoring is demonstrated by performing simultaneous blood oxygen level‐dependent functional MRI in parallel with electrophysiology.
Sagnik Middya   +7 more
wiley   +1 more source

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