Results 201 to 210 of about 113,907 (292)

Fast environmental sound classification based on resource adaptive convolutional neural network. [PDF]

Sci Rep, 2022
Fang Z, Yin B, Du Z, Huang X.
europepmc   +1 more source

Helping financially under‐resourced unmarried mothers move forward and flourish: Feasibility findings from an innovative coaching‐centered place‐based initiative

American Journal of Community Psychology, EarlyView.
Abstract Longer‐duration, holistic, cohort‐based, coach‐led interventions may be particularly effective in promoting both economic health and emotional well‐being among unmarried mothers living in economically disadvantaged neighborhoods. Aligning with the 1999 Centers for Disease Control (CDC) framework for program evaluation, this study presents a ...
Jennifer Langhinrichsen‐Rohling, Sharon Watson, Mia Ersoff, Jayla Worsley, Brice Kroll, Jenna Hollenhead   +5 more
wiley   +1 more source

Heart sound classification based on convolutional neural network with convolutional block attention module. [PDF]

Front Physiol
Huai X, Jiang L, Wang C, Chen P, Li H.
europepmc   +1 more source

DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis. [PDF]

Med Eng Phys, 2022
Kuluozturk M, Kobat MA, Barua PD, Dogan S, Tuncer T, Tan RS, Ciaccio EJ, Acharya UR.   +7 more
europepmc   +1 more source

POEMS Syndrome: 2026 Update on Diagnosis, Risk‐Stratification, and Management

American Journal of Hematology, EarlyView.
ABSTRACT Disease Overview POEMS syndrome is a life‐threatening syndrome due to an underlying plasma cell neoplasm. The major criteria for the syndrome are polyneuropathy, clonal plasma cell disorder (PCD), sclerotic bone lesions, elevated vascular endothelial growth factor, and the presence of Castleman disease.
Angela Dispenzieri
wiley   +1 more source

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network. [PDF]

Front Bioeng Biotechnol
Zhang W, Li X, Liu Q, Zheng X, Ge Y, Pan X, Zhou Y.   +6 more
europepmc   +1 more source

RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification

Recent advancements in AI have democratized its deployment as a healthcare assistant. While pretrained models from large-scale visual and audio datasets have demonstrably generalized to this task, surprisingly, no studies have explored pretrained speech ...
Bae, Sangmin, Toikkanen, Miika, Kim, June-Woo, Kim, Minseok, Jung, Ho-Young   +4 more
core   +1 more source

Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module. [PDF]

Bioengineering (Basel)
Li M, He Z, Wang H.
europepmc   +1 more source

Judicial Perspectives on Neurodiversity in Queensland Courts, Tribunals and Commissions: Experiences With Disclosure and Witness Credibility

Australian Journal of Social Issues, EarlyView.
ABSTRACT Little is known about the impacts of the disclosure, or the non‐disclosure, of medical conditions associated with neurodiversity in the context of court proceedings and hearings before tribunals and commissions. This paper examines the experiences of twenty‐three Queensland Judges, Magistrates, and Tribunal and Commission Members with ...
Danielle Bozin, Karen A. Sullivan, Vincent Denault, Catherine Kennon, Lucy Cradduck, Rachel Hews   +5 more
wiley   +1 more source

Multi-level feature encoding algorithm based on FBPSI for heart sound classification. [PDF]

Sci Rep
Fang Y, Leng H, Wang W, Liu D.
europepmc   +1 more source