Results 141 to 150 of about 1,760,547 (368)

CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration ...
Jon Rodriguez‐Antiguedad   +7 more
wiley   +1 more source

MDE: Modality Discrimination Enhancement for Multi-modal Recommendation [PDF]

open access: yesarXiv
Multi-modal recommendation systems aim to enhance performance by integrating an item's content features across various modalities with user behavior data. Effective utilization of features from different modalities requires addressing two challenges: preserving semantic commonality across modalities (modality-shared) and capturing unique ...
arxiv  

Cross-modal Common Representation Learning by Hybrid Transfer Network [PDF]

open access: yesarXiv, 2017
DNN-based cross-modal retrieval is a research hotspot to retrieve across different modalities as image and text, but existing methods often face the challenge of insufficient cross-modal training data. In single-modal scenario, similar problem is usually relieved by transferring knowledge from large-scale auxiliary datasets (as ImageNet).
arxiv  

An Analysis for IDH‐Mutant Grade 4 Astrocytoma Based on WHO CNS 5: Implication of Clinical Practice

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose There is ongoing debate regarding the therapeutic approach and prognosis for IDH‐mutant grade 4 astrocytoma, a newly defined subtype of diffuse glioma in the 2021 WHO classification system for central nervous system tumors (WHO CNS 5). The aim of this study was to explore the clinical outcome and prognosticators for newly diagnosed IDH‐
Xianxin Qiu   +13 more
wiley   +1 more source

JAVANESE LANGUAGE MODALITY IN BLENCONG ARTICLES OF SUARA MERDEKA NEWSPAPER [PDF]

open access: yes, 2011
Many languages have modalities which are usually expressed through certain modal verbs. By analyzing the modal verbs, the varying degrees of commitment to or belief in a proposition can be explained. Javanese language also has such modal system.
Nina , Setyaningsih
core  

Fusing Cross-modal and Uni-modal Representations: A Kronecker Product Approach [PDF]

open access: yesarXiv
Cross-modal embeddings, such as CLIP, BLIP and their variants, have achieved promising results in aligning representations across modalities. However, these embeddings could underperform compared to state-of-the-art single-modality embeddings on modality-specific tasks. On the other hand, single-modality embeddings excel in their domains but lack cross-
arxiv  

The modal verb galėti ʻcan/could/may/mightʼ in academic Lithuanian: distribution, frequency and semantic properties

open access: yesKalbotyra, 2017
The aim of the present paper is to investigate the frequency and distribution patterns as well as the spectrum of modal meanings conveyed by the Lithuanian modal verb of possibility galėti ‘can/could/may/might’ in academic Lithuanian.
Jolanta Šinkūnienė
doaj   +1 more source

Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing   +4 more
wiley   +1 more source

Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition

open access: yes, 2017
A novel deep neural network training paradigm that exploits the conjoint information in multiple heterogeneous sources is proposed. Specifically, in a RGB-D based action recognition task, it cooperatively trains a single convolutional neural network ...
Li, Wanqing   +4 more
core   +1 more source

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