Results 101 to 110 of about 146,332 (289)
Acronym-Meaning Extraction from Corpora Using Multi-Tape Weighted Finite-State Machines
The automatic extraction of acronyms and their meaning from corpora is an important sub-task of text mining. It can be seen as a special case of string alignment, where a text chunk is aligned with an acronym.
Kempe, André
core +1 more source
NPM1 selectively sorts specific mRNAs into extracellular vesicles (EVs) by recognizing RNA motifs and forming phase‐separated condensates. These mRNA cargos—including EGFR—are then loaded via multivesicular bodies. This active sorting pathway, validated in EVs derived from both lung cancer cells and patient serum, reveals a specific mechanism for ...
Kaixiang Zhang +8 more
wiley +1 more source
Neighbor selection algorithm in cloud-assistant P2P-VoD system
A neighbor selection algorithm was proposed which was composed of sub-algorithms of peer selection and chunk selection.The peer selection algorithm assured that the peers could find the neighbors providing the video data at a high probability.The chunk ...
Xin CONG +4 more
doaj +2 more sources
SPECTRAL EFFICIENCY ANALYSIS OF MUTI CELL OFDMA SYSTEM WITH SECTORING
This paper analyses the performance of the multi cell OFDMA system for the average spectral efficiency and the coverage probability. We form the Chunk by the grouping of the adjacent subcarriers by exploiting the correlation among them.
P Kavitha, S Shanmugavel
doaj +1 more source
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen +11 more
wiley +1 more source
Which type of instruction fosters chunk learning? Preliminary conclusions
Formulaic language learning has been shown to be problematic and slow in adult L2 learners. In this study, we test some of the recommendations of a Lexical Approach. We compare the results of the implementation of chunk attention-directing techniques and
Mercedes Pérez Serrano
doaj +1 more source
This work introduces an open‐source all‐optical platform for functional phenotyping of human stem cell‐derived neurons. The system integrates optogenetics, calcium imaging, automated acquisition, and analysis to resolve single‐cell and network activity, enabling longitudinal measurements, disease modeling, and pharmacological screening in preclinical ...
Wardiya Afshar‐Saber +12 more
wiley +1 more source
This study employs sc‐RNA sequencing, genetics, and phenotyping to systematically map the cell‐type‐specific immune responses triggered by flg22. It reveals FLS2‐dependent transcriptional reprogramming in epidermal and mesophyll cells, and uncovers crosstalk between immune and hypoxia signaling pathways.
Yaping Zhou +17 more
wiley +1 more source
In trophoblast cells, T/S (TNFα + SM164) activated caspase‐3, which cleaved GSDME to switch apoptosis to pyroptosis, causing cell swelling, membrane rupture, and release of LDH, HMGB1, IL‐1β and IL‐18. These cytokines induced pro‐inflammatory macrophage polarization, which in turn reinforced pyroptotic signaling in trophoblasts, amplifying systemic ...
Baoying Huang +15 more
wiley +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source

