Results 41 to 50 of about 687,174 (294)
the policy model of cyberspace filtering in Islamic Republic of IRAN [PDF]
مطالعات رسانههای نوین, 2020 The cyberspace filtering as a immunization element is a fixed governmental policy of Islamic Republic of IRAN, but it is a challenging problem between policymakers and stockholders, especially after appearance of social networks.
Mohammadsadegh nasrollahi
doaj +1 more source
Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10
FEBS Letters, EarlyView.Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang +8 more
wiley +1 more source
Café Recommendation Using the Content-Based Filtering Method
Journal of Information Systems and InformaticsThe coffee industry has experienced rapid growth over the last decade. In this research, the content-based filtering approach is employed to suggest cafes by analyzing the similarity of different features or attributes.
Anggito Whiku Wicaksono +2 more
doaj +1 more source
Survey of User to User Recommendation System in Online Social Networks [PDF]
Engineering and Technology Journal, 2019 The widespread use of online social networks (OSN) and their applications by users lead to the lack of knowledge identification of their needs across the vast amount of data, which made the need to create systems that help people to solve the problems ...
Sammer Qader, Ayad Abbas
doaj +1 more source
Capturing User Interests for Content-based Recommendations [PDF]
, 2015 Nowadays, most recommender systems provide recommendations by either exploiting feedback given by similar users, referred to as collaborative filtering, or by identifying items with similar properties, referred to as content-based recommendation ...
Hopfgartner, Frank
core
Metadata impact on research paper similarity [PDF]
, 2010 While collaborative filtering and citation analysis have been well studied for research paper recommender systems, content-based approaches typically restrict themselves to straightforward application of the vector space model.
Cornelis, Chris +3 more
core +2 more sources
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Deriving item features relevance from collaborative domain knowledge [PDF]
, 2018 An Item based recommender system works by computing a similarity between items, which can exploit past user interactions (collaborative filtering) or item features (content based filtering).
Cremonesi, Paolo +2 more
core +1 more source
Dynamic Web Content Filtering Based on User's Knowledge [PDF]
, 2005 This paper focuses on the development of a maintainable information filtering system. The simple and efficient solution to this problem is to block the Web sites by URL, including IP address.
Churcharoenkrung, N, Kang, BH, Kim, YS
core +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source