Results 41 to 50 of about 15,456,603 (251)

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent

open access: yesInternational Journal of Biomedical Imaging, 2016
For augmented fluoroscopy during cardiac ablation, a preoperatively acquired 3D model of a patient’s left atrium (LA) can be registered to X-ray images recorded during a contrast agent (CA) injection.
Matthias Hoffmann   +5 more
doaj   +1 more source

Charting Endocrine Progenitors Across Species and Organs

open access: yesAdvanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing   +21 more
wiley   +1 more source

Análise espacial e de vizinhança no melhoramento genético de plantas Neighborhood and spatial analysis in plant breeding

open access: yesPesquisa Agropecuária Brasileira, 2005
Três formas de análise espacial foram comparadas à análise do modelo linear Gauss-Markov normal em experimentos de Genética, tendo-se suposto os efeitos de progênies como aleatórios: médias móveis nos dados brutos (MM), médias móveis nos dados residuais (
Janaina Ribeiro Costa   +2 more
doaj   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

open access: yesAdvanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung   +4 more
wiley   +1 more source

A Maintenance Cost Study of Transformers Based on Markov Model Utilizing Frequency of Transition Approach

open access: yesEnergies, 2018
In this paper, a maintenance cost study of transformers based on the Markov Model (MM) utilizing the Health Index (HI) is presented. In total, 120 distribution transformers of oil type (33/11 kV and 30 MVA) are examined.
Muhammad Sharil Yahaya   +7 more
doaj   +1 more source

Transposable Element–Driven PIEZO Mutation Enhances Locust Flight in Plateau Hypoxia

open access: yesAdvanced Science, EarlyView.
Why transposable elements (TEs) persisted or expanded in genomes remains a mystery. Using integrated analysis of TE macro‐ and microevolution in locusts, our results showed that thousands of TE insertions promoted widespread adaptive variation. Subfamilies of candidate adaptive TEs amplified and reshaped species‐level genomic architecture.
Xuanzhao Li   +8 more
wiley   +1 more source

Research of Stock Time Series Based on probabilistic Suffix Tree

open access: yes四川大学学报. 自然科学版, 2018
this paper introduces a Probabilistic Suffix Tree (PST) method based on the time series symbolization, and constructs a stock forecasting model based on the combination of time series symbolizationa and PST.
CHENG Xiao-Lin, ZHENG Xing, LI Xu-Wei
doaj  

Range of 21st century ice mass changes in the Filchner-Ronne region of Antarctica

open access: yesJournal of Glaciology, 2023
Increases in ocean temperatures in the Filchner Ronne region of Antarctica are likely to result in increased ice mass loss and sea level rise. We constrain projections of the 21st century sea level contribution of this region using process-based ice ...
Andrew Johnson   +3 more
doaj   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

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