Results 91 to 100 of about 1,881,625 (304)

Respiratory complex I‐mediated NAD+ regeneration regulates cancer cell proliferation through the transcriptional and translational control of p21Cip1 expression by SIRT3 and SIRT7

Molecular Oncology, EarlyView.
NAD+ regeneration by mitochondrial complex I NADH dehydrogenase is important for cancer cell proliferation. Specifically, NAD+ is necessary for the activities of NAD+‐dependent deacetylases SIRT3 and SIRT7, which suppress the expression of p21Cip1 cyclin‐dependent kinase inhibitor, an antiproliferative molecule, at the translational and transcriptional
Masato Higurashi, Kazunori Mori, Hidetsugu Nakagawa, Momoko Uchida, Fumihiro Ishikawa, Motoko Shibanuma   +5 more
wiley   +1 more source

Off-topic English Essay Detection Model Based on Hybrid Semantic Space for Automated English Essay Scoring System

MATEC Web of Conferences, 2018
Aiming at the problem that the lack of accurate and efficient off-topic detection model for current Automated English Scoring System in China, an unsupervised off-topic essay detection model based on hybrid semantic space was proposed. Firstly, the essay
Huang Guimin, Liu Jian, Fan Chunli, Pan Tingting   +3 more
doaj   +1 more source

Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial–mesenchymal transition and tumor‐infiltrating lymphocytes

Molecular Oncology, EarlyView.
Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane, Jérôme Ambroise, Cédric van Marcke, Mieke Van Bockstal, Martine Berlière, Christine Galant, Hélène Dano, Médina Lougué, Elena Benidovskaya, Guy Jerusalem, Vincent Bours, Claire Josse, Jérôme Thiry, Aurélie Daumerie, Caroline Bouzin, Cyril Corbet, François P. Duhoux   +16 more
wiley   +1 more source

Graph Summarization

, 2020
The continuous and rapid growth of highly interconnected datasets, which are both voluminous and complex, calls for the development of adequate processing and analytical techniques.
Bonifati, Angela, Dumbrava, Stefania, Kondylakis, Haridimos   +2 more
core  

An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process [PDF]

, 2015
Stochastic variational inference (SVI) is emerging as the most promising candidate for scaling inference in Bayesian probabilistic models to large datasets.
Ghahramani, Zoubin, Knowles, David A., Shah, Amar   +2 more
core   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

TR-GPT-CF: A Topic Refinement Method Using GPT and Coherence Filtering

Applied Sciences
Traditional topic models are effective at uncovering patterns within large text corpora but often struggle with capturing the contextual nuances necessary for meaningful interpretation.
Ika Widiastuti, Hwan-Seung Yong
doaj   +1 more source

Discovering Topic Representative Terms for Short Text Clustering

IEEE Access, 2019
Clustering short texts are one of the most important text analysis methods to help extract knowledge from online social media platforms, such as Twitter, Facebook, and Weibo.
Shuiqiao Yang, Guangyan Huang, Borui Cai
doaj   +1 more source

Automated Word Puzzle Generation via Topic Dictionaries [PDF]

, 2012
We propose a general method for automated word puzzle generation. Contrary to previous approaches in this novel field, the presented method does not rely on highly structured datasets obtained with serious human annotation effort: it only needs an ...
Lorincz, Andras, Pinter, Balazs, Szabo, Zoltan, Voros, Gyula   +3 more
core   +1 more source

Collaborative Summarization of Topic-Related Videos

, 2017
Large collections of videos are grouped into clusters by a topic keyword, such as Eiffel Tower or Surfing, with many important visual concepts repeating across them. Such a topically close set of videos have mutual influence on each other, which could be
Panda, Rameswar, Roy-Chowdhury, Amit K.
core   +1 more source