Results 241 to 250 of about 52,118 (285)

Letter to the Editor: Citations of Retracted Publications Should Be Discounted From One's Bibliometric Indicator. [PDF]

J Korean Med Sci
Tang BL.
europepmc   +1 more source

How the Carrier Mobility and Seebeck Coefficient of Doped Semiconducting Polymers Are Controlled by Counterion Interactions and Mesoscale Order

Advanced Functional Materials, EarlyView.
Conventional doping of P3HT with F4TCNQ results in poor charge transport. However, when F4TCNQ is exchanged with LiTFSI, the transport characteristics are greatly enhanced. We find the increase in charge transport is directly related to an increase in the mesoscale ordering of P3HT, resulting in longer and better‐connected transport pathways.
Quynh M. Duong, Diego Garcia Vidales, Xinyu Liu, Charlene Z. Salamat, Austin Ready, Hashim Al Khunaizi, Mei Matsumoto, Alexander M. Spokoyny, Sarah H. Tolbert, Benjamin J. Schwartz   +9 more
wiley   +1 more source

Anonymous forensic evidence collection (AFC) after sexual offenses: a challenge in gynecological care-data from 13 years and 7 months at a University Hospital. [PDF]

Arch Gynecol Obstet
Herpel C, Bogus M, Mallmann P, Banaschak S, Ludwig S.   +4 more
europepmc   +1 more source

PaxDb v6.0: reprocessed, LLM-selected, curated protein abundance data across organisms. [PDF]

Nucleic Acids Res
Huang Q, Szklarczyk D, Oehninger J, von Mering C.   +3 more
europepmc   +1 more source

Analysis of public perception and socio-demographic drivers of genetically modified organisms in Iran. [PDF]

GM Crops Food
Ahmadabadi M, Dehghanian Z, Valizadeh Kamran R, Pazhouhandeh M, Aryan A.   +4 more
europepmc   +1 more source

Development and evaluation of AI model with deep learning for segmentation of extraocular muscles in thyroid eye disease. [PDF]

PLoS One
Haruna Y, Tagami M, Kurosaki R, Nishio M, Kinari G, Tomita M, Misawa N, Muragaki Y, Honda S.   +8 more
europepmc   +1 more source

Editorial: Advances and challenges in AI-driven visual intelligence: bridging theory and practice. [PDF]

Front Artif Intell
Huang B, Zhang D, Liu Q.
europepmc   +1 more source

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Polynomial Topic Distribution with Topic Modeling for Generic Labeling

Communications in Computer and Information Science, 2019
Topics generated by topic models are typically reproduced as a list of words. To decrease the cognitional overhead of understanding these topics for end-users, we have proposed labeling topics with a noun phrase that summarizes its theme or idea. Using the WordNet lexical database as candidate labels, we estimate natural labeling for documents with ...
Syeda Sumbul Hossain, Shadikur Rahman
exaly   +2 more sources

Automatic Topic Labeling Using Ontology-Based Topic Models

2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015
Topic models, which frequently represent topics as multinomial distributions over words, have been extensively used for discovering latent topics in text corpora. Topic labeling, which aims to assign meaningful labels for discovered topics, has recently gained significant attention.
Mehdi Allahyari
exaly   +2 more sources