Results 101 to 110 of about 814,629 (342)
Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins
We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó +7 more
wiley +1 more source
A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas. [PDF]
Bhamare BR, Prabhu J.
europepmc +1 more source
This study optimizes a two‐step induction system to generate PGCLCs from chicken ESCs. The induced cells express germline markers and migrate to gonads in ovo, offering a novel approach for avian genetic resource conservation. Primordial germ cells (PGCs) are the progenitor cells of sperm and eggs.
Zeyu Li +10 more
wiley +1 more source
Bidirectional Cascade Network for Aspect Sentiment Triplet Extraction [PDF]
Aspect Sentiment Triplet Extraction(ASTE) is a subtask of aspect-based sentiment analysis. The goal is to extract all mentioned aspects, their corresponding opinions, and the sentiment polarity expressed, forming triplets from a given text sequence.
ZHENG Ayong, GU Xingsheng
doaj +1 more source
Inflation and Relative Price Dispersion in Canada: An Empirical Assessment [PDF]
The authors investigate empirically the relationship between different aspects of inflation and relative price dispersion in Canada using a Markov regime-switching Phillips curve.
André Binette, Sylvain Martel
core
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
Aspect-Based Sentiment Analysis: A Comprehensive Review and Open Research Challenges
The social web provides a facility for common people to share their views, comments, feedback, and experiences on various social media platforms. Due to these platforms now communication has become easier and it has provided us with opportunities to use ...
Waqas Ahmad +3 more
doaj +1 more source
A Classifying Procedure for Signaling Turning Points [PDF]
A Hidden Markov Model (HMM) is used to classify an out of sample observation vector into either of two regimes. This leads to a procedure for making probability forecasts for changes of regimes in a time series, i.e. for turning points.
Koskinen, Lasse, Öller, Lars-Erik
core
CAF‐mediated immunosuppression in ovarian cancer is driven by IDO1, reducing T‐cell function. Inhibiting IDO1 restores T‐cell proliferation and cytotoxicity, increases cancer cell apoptosis, and may help overcome CAF‐induced immune suppression in high‐grade serous ovarian cancer. Targeting IDO1 may improve antitumor immunity.
Hyewon Lee +3 more
wiley +1 more source
Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text
Aspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts.
Mikail Muhammad Azman Busst +4 more
doaj +1 more source

