Results 51 to 60 of about 513,428 (333)

Geometric Multi-Model Fitting by Deep Reinforcement Learning

open access: yes, 2018
This paper deals with the geometric multi-model fitting from noisy, unstructured point set data (e.g., laser scanned point clouds). We formulate multi-model fitting problem as a sequential decision making process.
Chen, Yiping   +5 more
core   +1 more source

Homologous expression and purification of human HAX‐1 for structural studies

open access: yesFEBS Open Bio, EarlyView.
This research protocol provides detailed instructions for cloning, expressing, and purifying large quantities of the intrinsically disordered human HAX‐1 protein, N‐terminally fused to a cleavable superfolder GFP, from mammalian cells. HAX‐1 is predicted to undergo posttranslational modifications and to interact with membranes, various cellular ...
Mariana Grieben
wiley   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

open access: yesFEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Understanding bio‐based polymers: A study of origins, properties, biodegradation and their impact on health and the environment

open access: yesFEBS Open Bio, EarlyView.
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc   +8 more
wiley   +1 more source

A study on the unstructured music database—Taking the Bo people’s music and its music iconography database as an example

open access: yesMATEC Web of Conferences, 2015
An unstructured music iconography data system constructed by key technologies like Dublin Core, Lucene technology and MVC framework is studied in this paper.
Liu Yutong
doaj   +1 more source

A Deep Learning-Based Framework for Offensive Text Detection in Unstructured Data for Heterogeneous Social Media

open access: yesIEEE Access, 2023
Social media such as Facebook, Instagram, and Twitter are powerful and essential platforms where people express and share their ideas, knowledge, talents, and abilities with others.
Jamshid Bacha   +4 more
doaj   +1 more source

Patatin‐domain‐containing (phospho)lipases under control: Mammalian co‐regulators and pathogenic activation mechanisms

open access: yesFEBS Open Bio, EarlyView.
Patatin domain‐containing (phospho)lipases are lipid‐hydrolyzing enzymes central to metabolism, membrane remodeling, and signaling. Their activity relies on precise co‐activation mechanisms involving protein–protein interactions and conformational rearrangements.
Noopur Dubey   +2 more
wiley   +1 more source

Adding structure to unstructured data [PDF]

open access: yes, 1997
We develop a new schema for unstructured data. Traditional schemas resemble the type systems of programming languages. For unstructured data, however, the underlying type may be much less constrained and hence an alternative way of expressing constraints on the data is needed.
Peter Buneman   +3 more
openaire   +3 more sources

SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas   +18 more
wiley   +1 more source

Manifold Learning for Organizing Unstructured Sets of Process Observations

open access: yes, 2019
Data mining is routinely used to organize ensembles of short temporal observations so as to reconstruct useful, low-dimensional realizations of an underlying dynamical system.
Bollt, Erik M.   +3 more
core   +1 more source

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