Results 111 to 120 of about 41,370 (259)

Anti-Hausdorff Spaces [PDF]

open access: yes, 2012
117-123A special class of topological spaces termed anti-Hausdorff spaces has been defined and some properties of such spaces have been studied. A few characterizations of an anti- Hausdorff space have been established also.
Mitra, Mallika, Majumdar, Subrata
core   +1 more source

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais   +5 more
wiley   +1 more source

Sequentially Hausdorff and full sequentially Hausdorff spaces

open access: yesCommunications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, 2019
Summary: In this paper, we define the notions of sequentially Hausdorff Space and full sequentially Hausdorff space. Also we give the relationships between these notions and Hausdorffness.
Akız, Hürmet Fulya, Koçak, Lokman
openaire   +5 more sources

The Hausdorff Edition [PDF]

open access: yes, 2011
Nous présentons dans cet article la genèse du projet de l'Édition Hausdorff, ainsi que sa structure organisationnelle ; une discussion suit sur un des aspects centraux de l'œuvre de Hausdorff.A short overview is provided of the genesis of the Hausdorff ...
Scholz, Erhard, Purkert, Walter
core   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

open access: yesJournal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran   +7 more
wiley   +1 more source

A Modular Biosensor Platform for the Detection of Plastic Monomers and the Engineering of Promiscuous Amidases Toward Challenging Substrates

open access: yesAdvanced Science
Stable chemical bonds dictate the properties of industrial chemicals and materials. Particularly the persistence of synthetic polymers like polyurethanes (PUs) contributes to the global issues of waste accumulation and environmental pollution.
Ina Somvilla   +12 more
doaj   +1 more source

Risk Measure Duality Without Structure

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study risk measures on vector spaces of random variables which a priori have little structure, such as spaces lacking law invariance or a lattice structure. Ensuring the existence of a tractable dual representation (one which does not contain non‐sigma‐additive measures) is one of the main problems in risk measure theory, and we address it ...
Vasily Melnikov
wiley   +1 more source

Structural Differences at Quadruplex‐Duplex Interfaces Enable Ligand‐Induced Topological Transitions

open access: yesAdvanced Science
Quadruplex‐duplex (QD) junctions, which represent unique structural motifs of both biological and technological significance, have been shown to constitute high‐affinity binding sites for various ligands.
Yoanes Maria Vianney   +2 more
doaj   +1 more source

Hot Melt Extrusion as Continuous Manufacturing Technique to Produce Bilayer Films Loaded with Paracetamol or Lactase

open access: yesPharmaceuticals
Background/Objectives: The oral delivery of large-molecule drugs remains challenging due to poor solubility, perdemeability, and stability in the gastrointestinal tract, resulting in low bioavailability.
Friederike Brokmann   +7 more
doaj   +1 more source

Lectures on Hausdorff and Gromov-Hausdorff Distance Geometry

open access: yes, 2020
The course was given at Peking University, Fall 2019. We discuss the following subjects: (1) Introduction to general topology, hyperspaces, metric and pseudometric spaces, graph theory. (2) Graphs in metric spaces, minimum spanning tree, Steiner minimal tree, Gromov minimal filling.
openaire   +2 more sources

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