Results 51 to 60 of about 682,549 (256)

OCRIS : online catalogue and repository interoperability study. Final report [PDF]

open access: yes, 2009
The aims and objectives of OCRIS were to: • Survey the extent to which repository content is in scope for institutional library OPACs, and the extent to which it is already recorded there; • Examine the interoperability of OPAC and repository software ...
Birrell, Duncan   +2 more
core  

Ethical Precision in Nanoscale Brain Interfacing

open access: yesAdvanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Inter-rater reliability of the EPUAP pressure ulcer classification system using photographs [PDF]

open access: yes, 2004
Background. Many classification systems for grading pressure ulcers are discussed in the literature. Correct identification and classification of a pressure ulcer is important for accurate reporting of the magnitude of the problem, and for timely ...
AHCPR   +31 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Acknowledgement Patterns in Research Articles: a Bibliometric Study based on Journal of Natural Rubber Research 1986-1997 [PDF]

open access: yes, 2002
Analyses the acknowledgements included in the research articles and short communications published in Journal of Natural Rubber Research (1986-1997) in respect of types, frequency of occurrence, individuals acknowledged, etc.
Sen, B. K., Tiew, Wai Sin
core  

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Scientific production of the International Classification for Nursing Practice: a bibliometric study

open access: yesRevista Brasileira de Enfermagem
Objective: To describe the scientific production of the International Classification for Nursing Practice throughout dissertations and theses published by nurses in Brazil from 1996 to 2016.
Patrícia Josefa Fernandes Beserra   +4 more
doaj   +1 more source

Artistic and aesthetic innovations of art education used while training future teachers of Music and Choreography

open access: yesНауковий Вісник Південноукраїнського Національного Педагогічного Університету імені К. Д. Ушинського, 2019
The article substantiates the conditionality of the quality of education regarding innovations that are caused by changes in the sociocultural space and the reform of education, which actualizes its prognostic and innovative character. The purpose of the
Rebrova Olena
doaj   +1 more source

Electrophysiological Studies of Visual Attention and of Emotion Regulation [PDF]

open access: yes, 2019
Electrophysiological methods, such as electroencephalography (EEG) and electrocardiography (ECG), measure biological activity that allow us to infer underlying cognitive processes.
Chu, Veronica
core  

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai   +8 more
wiley   +1 more source

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