Results 81 to 90 of about 11,134,879 (212)

Behavioural Determinants of Post‐Brushing Dental Plaque Levels: A Video‐Based Analysis

International Journal of Dental Hygiene, EarlyView.
ABSTRACT Objectives Toothbrushing remains the most widely practiced method for dental plaque removal. However, evidence‐based guidance on optimal brushing method, duration, toothbrush bristle wear, and dentifrice quantity is still insufficient. This study aimed to identify behavioural factors associated with post‐brushing dental plaque levels using ...
Jeongmin Ko, Min‐Joo Shin, Hyun‐Jae Cho   +2 more
wiley   +1 more source

Feedback and Contagion through Distressed Competition

The Journal of Finance, EarlyView.
ABSTRACT Firms tend to compete more aggressively when facing financial distress. This intensified competition reduces profit margins, pushing them further into distress and adversely affecting their industry peers. To study such feedback and contagion effects, we incorporate strategic competition in a dynamic model with long‐term defaultable debt ...
HUI CHEN, WINSTON WEI DOU, HONGYE GUO, YAN JI   +3 more
wiley   +1 more source

A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ∼ 8

The Astrophysical Journal
Galaxy morphologies provide valuable insights into their formation processes, tracing the spatial distribution of ongoing star formation and encoding signatures of dynamical interactions.
C. Tohill, S. P. Bamford, C. J. Conselice, L. Ferreira, T. Harvey, N. Adams, D. Austin   +6 more
doaj   +1 more source

Harnessing Bulk‐Segregant Mapping to Identify Trait‐Associated Genes in the Allopolyploid Model Plant Nicotiana benthamiana

Plant Biotechnology Journal, EarlyView.
ABSTRACT Forward genetics has been instrumental in identifying genes underlying desirable traits, yet its application to polyploid plants, many of which are key agricultural crops, remains challenging due to their genomic complexity. Therefore, we developed BenthMap, a bulk segregant analysis platform for high‐throughput trait mapping and gene ...
Zuba Ahmed, Jiyuan An, Satomi Hayashi, Julia Bally, Chris Winefield, Peter M. Waterhouse   +5 more
wiley   +1 more source

Galaxy and Mass Assembly: Automatic morphological classification of galaxies using statistical learning

, 2018
We apply four statistical learning methods to a sample of 7941 galaxies (z < 0.06) from the Galaxy and Mass Assembly (GAMA) survey to test the feasibility of using automated algorithms to classify galaxies.
Angus H. Wright (19009211), Jochen Liske (16219886), Alister Graham (18926479), Joss Bland-Hawthorn (5534978), Judith Ebner (16265204), Kevin A. Pimbblet (16045067), Sreevarsha Sreejith (16265195), Francine R. Marleau (19075982), Markus Haltmeier (3963371), Lee S. Kelvin (18997130), Lingyu Wang (1641121), Jon Loveday (18997070), Sergiy Pereverzyev (19075979), Andrew M. Hopkins (18997127), Benne W. Holwerda (19005107), Amanda J. Moffett (19003601), Edward Taylor (18924406), Simon P. Driver (16045052)   +17 more
core   +1 more source

Enhancing Lyα Emitter Identification in HETDEX with a Convolutional Neural Network

The Astronomical Journal
We present a deep learning framework to enhance the identification of Ly α emitters (LAEs) in the Hobby–Eberly Telescope Dark Energy Experiment (HETDEX), an untargeted spectroscopic survey of LAEs at 1.9 
Shiro Mukae, Erin Mentuch Cooper, Karl Gebhardt, Dustin Davis, Lindsay R. House, Mahdi Qezlou, Julian B. Muñoz, Shun Saito, Daniel J. Farrow, Caryl Gronwall, Donald P. Schneider, Eric Gawiser   +11 more
doaj   +1 more source

Ecological Filtering by Tuber Compartments Shapes Stable Core Microbiomes That Underpin Potato Plant Growth Across Environments

Plant, Cell &Environment, EarlyView.
ABSTRACT Harnessing plant microbiomes for sustainable agriculture requires understanding not only whether they can boost crop performance, but also how ecological processes govern their assembly, stability, and functional contributions across environments.
Yizhu Qiao, Junqing Qiao, Roeland L. Berendsen, Xu Cheng, Corné M.J. Pieterse, Yang Song   +5 more
wiley   +1 more source

A difference boosting neural network for automated star-galaxy classification

, 2002
In this paper we describe the use of a new artificial neural network, called the difference boosting neural network (DBNN), for automated classification problems in astronomical data analysis.
Kembhavi, A., Wadadekar, Y., N. S. Philip, K. B. Joseph, Y. Wadadekar, A. Kembhavi, Philip, N. S., Joseph, K. B.   +7 more
core   +1 more source

From DESI to Euclid: A Generative Bridge to Improve Measurements of Galaxy Structure

The Astrophysical Journal Letters
Ground-based seeing imprints size-dependent biases on galaxy structural parameters, yet the high-resolution space-based imaging needed to improve these measurements currently covers only a small fraction of the sky.
Renhao Ye, Shiyin Shen
doaj   +1 more source

Quantitative Assessment of Lateral Tongue Movement Using Ultrasonography in Healthy Children and Adults

Oral Science International, Volume 24, Issue 1, January 2027.
ABSTRACT Aim Tongue movement is essential for oral functions, including mastication, swallowing, and speech articulation; however, objective methods for evaluating lateral tongue movement remain limited. This study aimed to develop an ultrasonography‐based method for quantitatively assessing lateral tongue movement in healthy adults and school‐aged ...
Daiki Okada, Kumiko Fujiwara, Wataru Hamada, Kazuya Inoue, Yoichiro Nakajima, Wataru Katagiri, Takaaki Ueno   +6 more
wiley   +1 more source