Results 141 to 150 of about 15,656 (256)

Health‐Related Quality of Life, Everyday Executive Functioning, and Eating Behavior in Adults With Bardet–Biedl Syndrome

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Bardet–Biedl syndrome (BBS) is a rare genetic condition with a broad phenotypic spectrum. Knowledge about quality of life, executive functioning, and eating behavior in adults with BBS remains limited. This study aimed to assess health‐related quality of life (HRQoL), everyday executive functioning, and eating behavior in adults with BBS and ...
Cecilie Fremstad Rustad, Charlotte von der Lippe, Hilde Nordgarden, Jeanette Ullmann Miller, Mina Susanne Weedon‐Fekjær, Ragnheidur Bragadottir, Solrun Sigurdardottir   +6 more
wiley   +1 more source

Deep cross-modal affective memory networks with adaptive multi-source heterogeneous transfer learning in speech emotion recognition. [PDF]

Sci Rep
Zhao X, Liu J, Lin L.
europepmc   +1 more source

Stressed Speech Emotion Recognition Using Teager Energy and Spectral Feature Fusion with Feature Optimization. [PDF]

Comput Intell Neurosci, 2023
Bandela SR, Siva Priyanka S, Sunil Kumar K, Vijay Bhaskar Reddy Y, Berhanu AA.   +4 more
europepmc   +1 more source

Streamlining Diagnosis of Bardet–Biedl Syndrome: New Diagnostic Algorithm With Updated Criteria

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Considerable advances have been made in our understanding of Bardet–Biedl syndrome (BBS), particularly in its core clinical features and molecular genetics, warranting an update to the existing diagnostic criteria framework. Using a rigorous, evidence‐based, and consensus‐driven process, a multidisciplinary group of international experts and ...
Jeremy J. Pomeroy, Jesse Richards, Brooke R. Sweeney, Seema Kumar, Katie E. Queen, Joshua Zaritsky, Carl H. Cramer, Elias I. Traboulsi, Brittni A. Scruggs, Erica E. Davis, Ekaterina Keifer, Emma McGibbon, Timothy Ogden, Bendert De Graaf, Tonia Hymers, Elizabeth Forsythe, Philip Beales   +16 more
wiley   +1 more source

Representation learning with parameterised quantum circuits for advancing speech emotion recognition. [PDF]

Sci Rep
Rajapakshe T, Rana R, Riaz F, Khalifa S, Schuller BW.   +4 more
europepmc   +1 more source

Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer. [PDF]

Sensors (Basel), 2023
Ullah R, Asif M, Shah WA, Anjam F, Ullah I, Khurshaid T, Wuttisittikulkij L, Shah S, Ali SM, Alibakhshikenari M.   +9 more
europepmc   +1 more source

Distinct Neuropsychiatric Profiles Associated With 17p11.2 Deletions and RAI1 Variants in Smith–Magenis Syndrome

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Smith–Magenis syndrome (SMS) results from either a recurrent 17p11.2 deletion or pathogenic variants in the retinoic acid induced 1 gene (RAI1). While neurodevelopmental impairment and behavioral dysregulation are well recognized, systematic genotype‐stratified analyses across psychiatric domains remain limited.
Albin Blanc, Christophe Nemos, Céline Bonnet, Mathilde Renaud, Sandra Chapuis, Pauline Boiroux, Marie‐Noëlle Babinet, Caroline Demily   +7 more
wiley   +1 more source

Speech analysis and speech emotion recognition in mental disease: a scoping review. [PDF]

Front Psychol
Lombardo C, Esposito G, Carbone S, Serrano S, Mento C.   +4 more
europepmc   +1 more source

Refining Domain‐Based Prognostication in DNM1 Encephalopathy: A Mild Phenotype Associated With a GTPase Domain Variant

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT DNM1 encephalopathy is a rare autosomal dominant genetic condition characterized by a range of neurological and developmental manifestations. The typical phenotype is severe, including profound intellectual disability, treatment‐resistant epilepsy, ataxia, and structural brain abnormalities. However, milder presentations have increasingly been
Caroline Crain, Hope Northrup, Laura S. Farach, Sureni V. Mullegama, Kathleen Shields, Gretchen Von Allmen, Kate Richardson   +6 more
wiley   +1 more source

Optimization of speech emotion recognition using hybrid dataset integration and deep learning-based feature fusion with a novel balanced focal entropy loss. [PDF]

Sci Rep
Nagro S.
europepmc   +1 more source