Results 51 to 60 of about 69,909 (301)

MiR‐940 Suppresses Ferroptosis by Controlling Expression of Key Regulatory Genes

Advanced Science, EarlyView.
A CRISPR‐based screening identified miR‐940 as a critical suppressor of ferroptosis in cancer. By coordinating the downregulation of pro‐ferroptotic genes with the upregulation of GPX4, miR‐940 establishes a regulatory network that protects against ferroptosis and correlates with poor clinical outcomes in distinct cancer entities.
Andrea Kolak, Juliane Tschuck, Stefanie A. I. Weiß, Daniel Kaemena, Karolin Klimm, Ana Galhoz, Larissa Ringelstetter, Myles Fennell, Juliane Merl‐Pham, Anna Artati, Stefanie Strasser, Ralph Garippa, Michael Witting, Hans Zischka, Joel A. Schick, Stefanie M. Hauck, Michael P. Menden, Michelle Vincendeau, Brent R. Stockwell, Kamyar Hadian   +19 more
wiley   +1 more source

A two-phase prototypical network model for incremental few-shot relation classification [PDF]

28th International Conference on Computational Linguistics, December 8-13, 2020, Barcelona, Spain (Online)202402 bcchVersion of ...
Cai, Y, Wang, G, Ren, H, Chen, X, Li, Q
core   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Morphemic Structure of Lithuanian Words

Open Linguistics, 2016
The Lithuanian language is a typical flectional language that has a very sophisticated system of grammatical forms and many means of derivation; it is also characterized by uncertain boundaries between morphemes.
Rimkutė Erika, Kazlauskienė Asta, Utka Andrius   +2 more
doaj   +1 more source

Controllable abstractive sentence summarization with guiding entities [PDF]

28th International Conference on Computational Linguistics, December 8-13, 2020, Barcelona, Spain (Online)202402 bcchVersion of ...
Cai, Y, Zhang, G, Zheng, C, Li, Q
core   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Neural encoding of linguistic speech cues is unaffected by cognitive decline, but decreases with increasing hearing impairment

Scientific Reports
The multivariate temporal response function (mTRF) is an effective tool for investigating the neural encoding of acoustic and complex linguistic features in natural continuous speech.
Elena Bolt, Nathalie Giroud
doaj   +1 more source

Fact-level extractive summarization with hierarchical graph mask on BERT [PDF]

28th International Conference on Computational Linguistics, December 8-13, 2020, Barcelona, Spain (Online)202402 bcchVersion of RecordRGCOthersNational Natural Science Foundation of ...
Wang, Z, Li, W, Yuan, R
core   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Immersive auditory-cognitive training improves speech-in-noise perception in older adults with varying hearing and working memory

npj Science of Learning
Ageing is associated with elevated pure-tone thresholds, accompanied by increased difficulties in understanding speech-in-noise. While amplification provides important, but insufficient support, auditory-cognitive training (ACT) might propose a solution.
Vanessa Frei, Nathalie Giroud
doaj   +1 more source