Results 61 to 70 of about 21,748,467 (375)

Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2018
The relational facts in sentences are often complicated. Different relational triplets may have overlaps in a sentence. We divided the sentences into three types according to triplet overlap degree, including Normal, EntityPairOverlap and ...
Xiangrong Zeng   +4 more
semanticscholar   +1 more source

MGPT: A Multi‐task Graph Prompt Learning Framework for Drug Discovery

open access: yesAdvanced Science, EarlyView.
MGPT is a unified multi‐task graph prompt learning model providing generalizable and robust graph representations for few‐shot drug association prediction. MGPT demonstrates the ability of seamless task switching and outperforms competitive approaches in few‐shot scenarios.
Yang Li   +4 more
wiley   +1 more source

ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity

open access: yesAdvanced Science, EarlyView.
The ggalign package provides a comprehensive framework for composable visualization built on top of ggplot2. Its primary purpose is to enable the construction of complex multi‐plot layouts with consistent observation alignment across plots, particularly for high‐dimensional data contexts such as genomics, transcriptomics, and microbiome studies ...
Yun Peng   +9 more
wiley   +1 more source

Relational Data Model on The University Website with Search Engine Optimization

open access: yesIJID (International Journal on Informatics for Development), 2022
The visibility of a university’s website on the search engine becomes an essential factor to reach a wider audience. One way to improve the visibility of a website is through Search Engine Optimization (SEO).
Muhammad Riza Alifi   +2 more
doaj   +1 more source

Biomolecular Interaction Prediction: The Era of AI

open access: yesAdvanced Science, EarlyView.
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley   +1 more source

A new relational method for smoothing and projecting age-specific fertility rates: TOPALS

open access: yesDemographic Research, 2011
Age-specific fertility rates can be smoothed using parametric models or splines. Alternatively a relational model can be used which relates the age profile to be fitted or projected to a standard age schedule.
Joop de Beer
doaj  

Dynamic infinite relational model for time-varying relational data analysis [PDF]

open access: yes, 2017
We propose a new probabilistic model for analyzing dynamic evolutions of relational data, such as additions, deletions and split & merge, of relation clusters like communities in social networks. Our proposed model abstracts observed timevarying object-
Ishiguro, Katsuhiko   +3 more
core  

Electro‐Thermally Controlled Active Mechanical Metamaterials with Programmable Stiffness and Nonreciprocity

open access: yesAdvanced Science, EarlyView.
Actively programmable mechanical metamaterial, featuring smart conductive polymers, designed instabilities, and compliant mechanisms. Capable of stiffness switching, local surface pressure modulation, and nonreciprocal shear relationships that allow local shielding from surface traction. Potential applications in soft robotic grippers and smart medical
Jai Dunne   +5 more
wiley   +1 more source

Identifying and addressing common undergraduate database design misconceptions

open access: yesFrontiers in Education
Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS).
Noha Abdelaziz   +3 more
doaj   +1 more source

Taylor expansion in linear logic is invertible

open access: yes, 2018
Each Multiplicative Exponential Linear Logic (MELL) proof-net can be expanded into a differential net, which is its Taylor expansion. We prove that two different MELL proof-nets have two different Taylor expansions.
de Carvalho, Daniel
core   +1 more source

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