Results 111 to 120 of about 201,081 (282)

A Bayesian Approach toward Active Learning for Collaborative Filtering

open access: yes, 2012
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user.
Jin, Rong, Si, Luo
core  

Establishing a Model Precursor System: Over a Decade of Research on Carbon Dots from the Citric Acid‐Urea System

open access: yesAdvanced Functional Materials, EarlyView.
The citric acid/urea (CA‐Urea) precursor system offers a versatile, scalable route to carbon dots with tunable luminescence and multifunctionality. Mechanistic insights into precursor chemistry and reaction parameters have enabled doping, surface modification, and hybridization strategies, yielding CDs for luminescent devices, sensing, catalysis ...
Yupeng Liu   +10 more
wiley   +1 more source

A Universal Interfacial Dipole Strategy for Defect Suppression in Inverted Perovskite Solar Cells With Tunable Bandgaps

open access: yesAdvanced Functional Materials, EarlyView.
A 2D heterointerface with a two‐site anchor bridge suppresses nonradiative recombination at the perovskite/C₆₀ interface by reducing surface defects, elevating the Fermi level, and strengthening the electric field. This strategy enables efficient electron extraction, delivering 26.32% efficiency, 1.217 V Voc, excellent operational stability, and broad ...
Chaohui Li   +27 more
wiley   +1 more source

Coagulative Granular Hydrogels with an Enzyme Catalyzed Fibrin Network for Endogenous Tissue Regeneration

open access: yesAdvanced Healthcare Materials, EarlyView.
Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng   +16 more
wiley   +1 more source

Probabilistic Ensemble of Collaborative Filters

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2018
Collaborative filtering is an important technique for recommendation. Whereas it has been repeatedly shown to be effective in previous work,its performance remains unsatisfactory in many real-world applications, especially those where the items or users are highly diverse. In this paper, we explore an ensemble-based framework to enhance
Zhiyu Min, Dahua Lin
openaire   +2 more sources

Lysosome‐Acidifying Nanoparticles Rescue A30P α‐Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease

open access: yesAdvanced Healthcare Materials, EarlyView.
Lysosome‐targeted acidic nanoparticles based on a biodegradable poly(ethylene tetrafluorosuccinate‐co‐succinate) copolymer are engineered to restore impaired lysosomal acidification through pH‐responsive intracellular degradation. Localized acid release enhances autophagic proteolysis, reduces α‐synuclein accumulation, and preserves dopaminergic neuron
Chih Hung Lo   +6 more
wiley   +1 more source

An improved switching hybrid recommender system using naive Bayes classifier and collaborative filtering

open access: yes, 2010
Recommender Systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource.
Ghazanfar, Mustansar   +1 more
core  

Cold-Start Collaborative Filtering [PDF]

open access: yesACM SIGIR Forum, 2016
Collaborative Filtering (CF) is a technique to generate personalised recommendations for a user from a collection of correlated preferences in the past. In general, the effectiveness of CF greatly depends on the amount of available information about the target user and the target item.
openaire   +1 more source

Aqueous Two‐Phase Bioinks for Discrete Packing and Compartmentalization of 3D Bioprinted Cells

open access: yesAdvanced Healthcare Materials, EarlyView.
Aqueous two‐phase systems (ATPS) enable the formation of biomimetic interfaces crucial for tissue engineering. However, clinical translation remains limited by the challenge of precisely controlling cellular compartmentalization. Here, we developed ATPS biomaterial inks for 3D bioprinting allowing tuneable droplet formation via NaCl modulation.
Martina Marcotulli   +17 more
wiley   +1 more source

Personalised and Collaborative Learning Experience (PCLE) Framework for AI-driven Learning Management System (LMS) [version 1; peer review: 2 approved]

open access: yesF1000Research
Background Understanding student engagement and academic performance is crucial in AI-driven e-learning environments. Many learning management systems (LMS) lack effective collaborative course recommendation strategies, limiting support for personalised ...
Ooi Shih Yin   +2 more
doaj   +1 more source

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