Results 161 to 170 of about 15,465 (264)

Workforce Representation and Service in Shortage Areas: Outcomes of a HBCU College of Dentistry, Class 2004–2023

Journal of Dental Education, EarlyView.
ABSTRACT Purpose This study examines Howard University College of Dentistry's (HUCD) contributions to dental education, focusing on its role in strengthening workforce representation, expanding access to care in dental health professional shortage areas (DHPSAs) and medically underserved areas (MUAs), and addressing persistent oral health disparities ...
Marzia Mustamand, Minxuan Lan, Esther Childers, Cheryl Fryer, Kingsley Kanjin, Emma Ta‐Zhou, Najah Abduh, Whittley Deleveaux, Raheem Pierre, Gail Cherry‐Peppers, Reginald Salter, Deborah Nixon‐Willis, Tanya Greenfield, Dexter Woods, Andrea Jackson, Xinbin Gu   +15 more
wiley   +1 more source

Non‐Subtractive Arterial Spin Labeling‐Based (NSASL) Renal Magnetic Resonance Angiography (MRA): Development and Clinical Feasibility Evaluation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Non‐contrast renal MR angiography (MRA) is valuable for patients who cannot receive contrast agents or when avoiding radiation is desired. However, the conventional inflow inversion recovery (IFIR) method is limited by incomplete background suppression, venous contamination, and motion sensitivity.
Yulin Wang, Ye Yuan, Kun Yan, Jichang Zhang, Jie Zeng, Shengyang Niu, Shiying Ke, Chendie Yao, Bin Chen, Qi Dai, Liping Guo, Jianjun Zheng, Thomas Meersmann, Chengbo Wang   +13 more
wiley   +1 more source

Longitudinal 4D Flow MRI‐Derived Wall Shear Stress in Patients With an Abdominal Aortic Aneurysm

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background 4D flow MRI‐derived parameters such as wall shear stress (WSS) may improve abdominal aortic aneurysm (AAA) progression prediction. Validation of this biomarker is needed, but longitudinal data are lacking. Purpose Investigate longitudinal WSS changes and associations with AAA morphology. Study Type Prospective.
E. Aalbregt, W. Stehling, E. M. Schrauben, J. van Schuppen, L. J. Meijboom, R. A. P. Takx, A. J. Nederveen, P. van Ooij, V. Jongkind, K. K. Yeung   +9 more
wiley   +1 more source

Igniting Technological and Non‐Technological Innovation for Economic Performance: Enhancing Results by Investing in Human Capital

Strategic Change, EarlyView.
ABSTRACT This study investigates how strategic renewal, driven by the interaction among technological, marketing, and organizational innovation, enhances firms' economic performance. Using a panel dataset of 8871 Spanish firms covering the period 2009–2016, we provide empirical evidence on the different effects of each type of innovation and their ...
Beatriz Forés, José María Fernández‐Yáñez, Olga Broto, Andreas Kallmuenzer   +3 more
wiley   +1 more source

Dog attacks on wild desert tortoises: A risk model

The Journal of Wildlife Management, EarlyView.
Domestic dogs attack and severely injure wild desert tortoises at the urban and ex‐urban interface with deserts. Severe trauma to tortoises increased 4 times to shell and limbs and 16.5 times to the gular horn over the decades between the 1970s and 2000s. Tortoises were at exponential risk of severe trauma when living within 12 km of settlements, towns,
Andrea S. Carlson, Kristin H. Berry, Jeremy S. Mack   +2 more
wiley   +1 more source

Seabed classification in the Gulf of Alaska from acoustic surveys using deep learning

Limnology and Oceanography: Methods, EarlyView.
Abstract High‐resolution mapping of seafloor habitats has wide applications for fisheries, conservation efforts, offshore infrastructure planning, mineral extraction, and scientific modeling. This study leverages existing widespread single‐beam acoustic data and machine learning to create habitat maps for the Gulf of Alaska at a spatial resolution of ...
Karuna Agarwal, Christopher N. Rooper, Kresimir Williams   +2 more
wiley   +1 more source

Active Learning for the Discovery of Antiviral Polymers

Macromolecular Rapid Communications, EarlyView.
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland, Nhat Quynh Nguyen, Nathan RB Boase   +2 more
wiley   +1 more source

A highly accurate numerical method for solving boundary value problem of generalized Bagley‐Torvik equation

Mathematical Methods in the Applied Sciences, EarlyView.
A highly accurate numerical method is given for the solution of boundary value problem of generalized Bagley‐Torvik (BgT) equation with Caputo derivative of order 0<β<2$$ 0<\beta <2 $$ by using the collocation‐shooting method (C‐SM). The collocation solution is constructed in the space Sm+1(1)$$ {S}_{m+1}^{(1)} $$ as piecewise polynomials of degree at ...
Suzan Cival Buranay, Mtema James Chin, Nazim I. Mahmudov   +2 more
wiley   +1 more source

Understanding building damage through the lens of the Swiss post-seismic reconnaissance mission of 2023 Al Haouz, Morocco, earthquake. [PDF]

Sci Rep
Imtiaz A, Saloustros S, Beqiraj M, Cortés G, Devaux M, Lattion E, Zhu Y, Sehaqui H.   +7 more
europepmc   +1 more source

Modelling Motion‐Induced Signal Corruption in Steady‐State Diffusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Diffusion‐weighted steady‐state free precession (DW‐SSFP) is a diffusion imaging sequence achieving high SNR efficiency. A key challenge for in vivo DW‐SSFP is the sequence's severe motion sensitivity, currently limiting investigations to low or no motion regimes.
Benjamin C. Tendler, Wenchuan Wu, Karla L. Miller, Aaron T. Hess   +3 more
wiley   +1 more source