Results 81 to 90 of about 1,234,147 (346)

ANALISIS PENDAPATAN NELAYAN PEMILIK PAYANG DI KECAMATAN KOTO TANGAH KOTA PADANG

open access: yesEconomica, 2016
Penelitian ini bertujuan untuk menganalisis (1) pengaruh modal terhadap pendapatan nelayan payang di kecamatan Koto Tangah kota Padang. (2) pengaruh jam kerja terhadap pendapatan nelayan payang di kecamatan Koto Tangah kota Padang.
lovelly dwinda dahen
doaj   +1 more source

Monad as modality

open access: yesTheoretical Computer Science, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data

open access: yesGenome Biology, 2020
Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions.
R. Argelaguet   +6 more
semanticscholar   +1 more source

What Makes Training Multi-Modal Classification Networks Hard? [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
Consider end-to-end training of a multi-modal vs. a uni-modal network on a task with multiple input modalities: the multi-modal network receives more information, so it should match or outperform its uni-modal counterpart. In our experiments, however, we
Weiyao Wang, Du Tran, Matt Feiszli
semanticscholar   +1 more source

C‐mannosylation promotes ADAMTS1 activation and secretion in human testicular germ cell tumor NEC8 cells

open access: yesFEBS Letters, EarlyView.
C‐mannosylation is a unique form of protein glycosylation. In this study, we demonstrated that ADAMTS1 is C‐mannosylated at Trp562 and Trp565 in human testicular germ cell tumor NEC8 cells. We found that C‐mannosylation of ADAMTS1 is essential for its secretion, processing, enzymatic activity, and ability to promote vasculogenic mimicry. These findings
Takato Kobayashi   +5 more
wiley   +1 more source

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges [PDF]

open access: yesIEEE transactions on intelligent transportation systems (Print), 2019
Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous vehicles are usually equipped with different sensors (e.g.
Di Feng   +7 more
semanticscholar   +1 more source

Ergothioneine supplementation improves pup phenotype and survival in a murine model of spinal muscular atrophy

open access: yesFEBS Letters, EarlyView.
Spinal muscular atrophy (SMA) is a genetic disease affecting motor neurons. Individuals with SMA experience mitochondrial dysfunction and oxidative stress. The aim of the study was to investigate the effect of an antioxidant and neuroprotective substance, ergothioneine (ERGO), on an SMNΔ7 mouse model of SMA.
Francesca Cadile   +8 more
wiley   +1 more source

Cross-Modal Self-Attention Network for Referring Image Segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
We consider the problem of referring image segmentation. Given an input image and a natural language expression, the goal is to segment the object referred by the language expression in the image. Existing works in this area treat the language expression
Linwei Ye   +3 more
semanticscholar   +1 more source

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

open access: yesMolecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia   +17 more
wiley   +1 more source

Modal Analysis of Fluid Flows: An Overview [PDF]

open access: yes, 2017
Simple aerodynamic configurations under even modest conditions can exhibit complex flows with a wide range of temporal and spatial features. It has become common practice in the analysis of these flows to look for and extract physically important ...
K. Taira   +9 more
semanticscholar   +1 more source

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