Results 111 to 120 of about 1,478,961 (356)
Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network [PDF]
arXiv, 2017 Nowadays, cross-modal retrieval plays an indispensable role to flexibly find information across different modalities of data. Effectively measuring the similarity between different modalities of data is the key of cross-modal retrieval. Different modalities such as image and text have imbalanced and complementary relationships, which contain unequal ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose To create and conduct a comprehensive onsite end‐to‐end dosimetry audit to assess treatment accuracy of spine, lung, and soft tissue Stereotactic Body Radiotherapy (SBRT) across Australian and New Zealand (ANZ) radiotherapy centers. Methods The Australian Clinical Dosimetry Service (ACDS) anthropomorphic thorax phantom underwent a CT ...
Maddison Shaw +8 more
wiley +1 more source
Marketing of Scientific and Research OrganizationsThis study investigates the transformative impact of digital service offers on consumer practices, utilizing the Theory of Social Practice (TSP) as a theoretical framework.
Kłeczek Ryszard +2 more
doaj +1 more source
Claustrum Volume Is Reduced in Multiple Sclerosis and Predicts Disability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The claustrum is a small, thin structure of predominantly gray matter with broad connectivity and enigmatic function. Little is known regarding the impact of claustrum pathology in multiple sclerosis (MS). Methods This study assessed whether claustrum volume was reduced in MS and whether reductions were associated with specific ...
Nicole Shelley +5 more
wiley +1 more source
Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Huntington's disease (HD) speech/language disorders have typically been attributed to motor and executive impairment due to striatal dysfunction. In‐depth study of linguistic skills and the role of extrastriatal structures in HD is scarce.
Arnau Puig‐Davi +13 more
wiley +1 more source
Diagnostic Challenge in Frontal Variant Alzheimer's Disease With Low Amyloid‐β PET Retention
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Diagnosing frontal variant Alzheimer's disease (fvAD) is difficult and could be even more difficult when amyloid‐beta (Aβ) PET retention is low. A 63‐year‐old woman presenting with a 3‐year history of apathy and memory impairment showed executive dysfunction, memory impairment, and severe bilateral frontotemporal atrophy on MRI.
Ryosuke Shimasaki +5 more
wiley +1 more source
Profiling cells with DELs: Small molecule fingerprinting of cell surfaces
SLAS DiscoveryDNA-encoded small molecule library technology has recently emerged as a new paradigm for identifying ligands against drug targets. To date, it has been used to identify ligands against targets that are soluble or overexpressed on cell surfaces.
Jason Deng +14 more
doaj
Correspondence of MRI and nTMS With EDSS in Multiple Sclerosis: Longitudinal Follow‐Up Study
Annals 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
Executive Power: Rethinking the Modalities of Control [PDF]
, 2018 The Honorable Sundaresh Menon, Chief Justice of the Supreme Court of Singapore, delivered the 2018-2019 Bernstein Lecture in Comparative Law titled Executive Power: Rethinking the Modalities of Control.
Menon, Sundaresh
core +1 more source
Learning Multimodal Word Representation via Dynamic Fusion Methods
, 2018 Multimodal models have been proven to outperform text-based models on learning semantic word representations. Almost all previous multimodal models typically treat the representations from different modalities equally.
Wang, Shaonan +2 more
core +1 more source