Results 51 to 60 of about 331,617 (295)
TRANSFORMATION OF SOCIAL PRACTICES OF RESPONSIBLE FATHERHOOD INTO DEVIANT FORMS OF SOCIAL ACTIVITY
The study of social practices of responsible fatherhood is relevant at the present time in the context of the transformation of the institution of fatherhood.
Anna Yu. Karpova+2 more
doaj +1 more source
Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang+6 more
wiley +1 more source
Metacognitive Learning Environment: a semantic perspective
In the last years, Knowledge Technologies have been exploited to realize innovative and challenging self-regulation scenarios in e-learning systems. The learning environments as metacognitive artifact suitably scaffolding learners to improve their self
Matteo Gaeta+3 more
doaj +1 more source
Crawling Facebook for Social Network Analysis Purposes [PDF]
We describe our work in the collection and analysis of massive data describing the connections between participants to online social networks. Alternative approaches to social network data collection are defined and evaluated in practice, against the popular Facebook Web site.
arxiv +1 more source
Deep Learning Methods in Soft Robotics: Architectures and Applications
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda+3 more
wiley +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
LLAMA: The low‐level abstraction for memory access
Abstract The performance gap between CPU and memory widens continuously. Choosing the best memory layout for each hardware architecture is increasingly important as more and more programs become memory bound. For portable codes that run across heterogeneous hardware architectures, the choice of the memory layout for data structures is ideally decoupled
Bernhard Manfred Gruber+5 more
wiley +1 more source
Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition
By combining 3D printing with microfluidics, a flexible strain sensor has been developed in a convenient, safe, and effective way. Consisting of a conductive microfiber with a polyurethane shell and a liquid metal core, the sensor exhibits excellent conductivity and stretchability.
Yikai Wu+4 more
wiley +1 more source
Integrating Decision Support and Social Networks
We elaborate on the shifting of decision support systems towards social networking, which is based on the concepts of Web 2.0 and Semantic Web technology.
Francisco Antunes, João Paulo Costa
doaj +1 more source
PENCARIAN BUDAYA MENGGUNAKAN ONTOLOGI DAN ATURAN BERBASIS SEMANTIC WEB UNTUK SISWA SD
Internet users every year have increased rapidly. One function of the Internet is that it is used as a source of information. Keywords used in search engine will help to find information. Semantic Web technologies can be used to help make the search more
Rendra Husni Thamrin
doaj +1 more source