Effective dispersal of fern spore and the ecological relevance of zoochory. [PDF]
Brock JMR.
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Electric vehicle charging station recommendation system based on graph neural network and context-aware refinement. [PDF]
Seo D, Moon J, Kwon HY.
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Purification, identification, and <i>in silico</i> screening of a multifunctional octapeptide from <i>semen armeniacae</i> glutelin-2 hydrolysates: restraining mechanisms to Keap1 and ACE, stability, and ferrous-transport efficiency. [PDF]
Jin Z +8 more
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Early Risk Factor Prediction in Chronic Kidney Disease Diagnosis Using Feature Selection and Machine Learning Algorithms. [PDF]
Prima CNE, Juhola M.
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Advancing the frontier of rare disease modeling: a critical appraisal of in silico technologies. [PDF]
Pistollato F +7 more
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Enhancing the Recovery of Antioxidant Compounds from Microalgae-Cyanobacteria Consortia Through Alcalase Hydrolysis: A Focus on Bioactive Peptides. [PDF]
Pardo de Donlebún B +5 more
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Characteristics of Adolescents' and Young Adults' Exposure to and Engagement with Nicotine and Tobacco Product Content on Social Media. [PDF]
Vogel EA +9 more
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Complementing Büchi Automata with Ranker
AbstractWe present the toolRankerfor complementing Büchi automata (BAs).Rankerbuilds on our previous optimizations of rank-based BA complementation and pushes them even further using numerous heuristics to produce even smaller automata. Moreover, it contains novel optimizations of specialized constructions for complementing (i) inherently weak automata
Vojtech Havlena +2 more
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Multilabel Ranking with Inconsistent Rankers
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021While most existing multilabel ranking methods assume the availability of a single objective label ranking for each instance in the training set, this paper deals with a more common case where only subjective inconsistent rankings from multiple rankers are associated with each instance. Two ranking methods are proposed from the perspective of instances
Xin Geng 0001 +3 more
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Abstract Social Network Ranker (SoNeR) is software that retrieves, from the Semantic Web, documents describing people (users) and ranks them based on their popularity. It provides supportive tools for obtaining the related FOAF/RDF documents, parsing them, detecting identity synonyms and ranking people.
Hamido Fujita
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