Results 61 to 70 of about 8,572,088 (368)

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models

North American Chapter of the Association for Computational Linguistics, 2015
Words are polysemous. However, most approaches to representation learning for lexical semantics assign a single vector to every surface word type. Meanwhile, lexical ontologies such as WordNet provide a source of complementary knowledge to distributional
S. Jauhar, Chris Dyer, E. Hovy
semanticscholar   +1 more source

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

Molecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini, Giada Mele, Marika Attili, Maria Rita Assenza, Fulvio Saccoccia, Francesca Sardina, Cinzia Rinaldo, Roberto Massari, Nicola Tirelli, Alfredo Pontecorvi, Fabiola Moretti   +10 more
wiley   +1 more source

Comparative analysis of switching losses and current ripple of continuous and discontinuous SVPWM strategies for unbalanced two‐phase four‐leg VSI Fed unsymmetrical two‐phase induction motor

IET Power Electronics, 2021
This paper presents a comparative analysis of the continuous space vector pulse width modulation and the discontinuous space vector pulse width modulation in terms of the switching losses and current ripple reduction for the unbalanced two‐phase four‐leg
Kaset Muangthong, Chakrapong Charumit
doaj   +1 more source

Mirroring Vector Space Embedding for New Words

IEEE Access, 2021
Most embedding models used in natural language processing require retraining of the entire model to obtain the embedding value of a new word. In the current system, as retraining is repeated, the amount of data used for learning gradually increases.
Jihye Kim, Ok-Ran Jeong
doaj   +1 more source

Improving Vector Space Word Representations Using Multilingual Correlation

Conference of the European Chapter of the Association for Computational Linguistics, 2014
The distributional hypothesis of Harris (1954), according to which the meaning of words is evidenced by the contexts they occur in, has motivated several effective techniques for obtaining vector space semantic representations of words using unannotated ...
Manaal Faruqui, Chris Dyer
semanticscholar   +1 more source

FAM136A depletion induces mitochondrial stress and reduces mitochondrial membrane potential and ATP production

FEBS Open Bio, EarlyView.
FAM136A depletion upregulated ROS production, reduced mitochondrial membrane potential (ΔΨ) and ATP production, and upregulated expression of PCK1, PCK2, HMGCS1, and HMGCS2. The expression of both TOMM22 and TOMM20 was also upregulated. FAM136A depletion reduced HCCS that produce holocytochrome c by combining heme to apocytochrome c, and reduced the ...
Yushi Otsuka, Masato Yano
wiley   +1 more source

Information retrieval algorithm of industrial cluster based on vector space

Open Physics, 2019
The current information retrieval research on industrial clusters has low precision, low recall ratio, obvious delay and high energy consumption. Thus, in this paper, a information retrieval algorithm based on vector space for industrial clusters is ...
Li Rongsheng, Hassan Nasruddin
doaj   +1 more source

Mapping Hsp104 interactions using cross‐linking mass spectrometry

FEBS Open Bio, EarlyView.
This study examines how cross‐linking mass spectrometry can be utilized to analyze ATP‐induced conformational changes in Hsp104 and its interactions with substrates. We developed an analytical pipeline to distinguish between intra‐ and inter‐subunit contacts within the hexameric homo‐oligomer and discovered contacts between Hsp104 and a selected ...
Kinga Westphal, Karolina Michalska, Andrzej Joachimiak, Lukasz A. Joachimiak   +3 more
wiley   +1 more source

New Vector-Space Embeddings for Recommender Systems

Applied Sciences, 2021
In this work, we propose a novel recommender system model based on a technology commonly used in natural language processing called word vector embedding.
Sandra Rizkallah, Amir F. Atiya, Samir Shaheen   +2 more
doaj   +1 more source