Microdeletions of the long arm of chromosome 13 lead to a characteristic facial appearance with systemic affection; 13q deletion shows a wide phenotypic spectrum that varies with respect to the location and size of the deletion region. The main clinical features are mental retardation, growth retardation, craniofacial dysmorphy and various congenital defects. In the present study we describe the case of an adult female of Mexican origin with microcephaly, facial dysmorphism, short stature, hand anomalies and normal intelligence associated with a de novo 13q31.3-q32.1 microdeletion that involved several genes including the MIR17HG and the GPC5 genes.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ejmg.2014.01.006 | DOI Listing |
Sci Rep
December 2024
Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
Multi-talker speech intelligibility requires successful separation of the target speech from background speech. Successful speech segregation relies on bottom-up neural coding fidelity of sensory information and top-down effortful listening. Here, we studied the interaction between temporal processing measured using Envelope Following Responses (EFRs) to amplitude modulated tones, and pupil-indexed listening effort, as it related to performance on the Quick Speech-in-Noise (QuickSIN) test in normal-hearing adults.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Computer Science , Applied College, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Over the past two decades, cloud computing has experienced exponential growth, becoming a critical resource for organizations and individuals alike. However, this rapid adoption has introduced significant security challenges, particularly in intrusion detection, where traditional systems often struggle with low detection accuracy and high processing times. To address these limitations, this research proposes an optimized Intrusion Detection System (IDS) that leverages Graph Neural Networks and the Leader K-means clustering algorithm.
View Article and Find Full Text PDFSci Rep
December 2024
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
The proliferation of multi-platform network information has expanded communication channels for users, enabling the integration and dissemination of information across both Social Networking Services (SNS)-type app and Instant Message (IM)-type app. With the intensification of convergent communication, some users in the two types of apps show active alternation in spreading information to each other's platforms. The study of the evolution trend of information in different platforms is of great practical significance for the mastery of the communication law.
View Article and Find Full Text PDFSci Rep
December 2024
Xinjiang Irtysh River Investment and Development (Group) Co., Ltd., Wulumuqi, 830000, China.
Abnormal cutter wear has a serious impact on TBM construction. If not found in time, it may lead to the cutterhead overall failure. Aiming at this problem, a general model and method to identify and warn the abnormal cutter wear using Extreme Learning Machine (ELM) is proposed.
View Article and Find Full Text PDFNeural Netw
December 2024
School of Engineering, Qufu Normal University, Rizhao 273165, China.
This paper investigates the probabilistic-sampling-based asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs). Aiming at mitigating the drawback of the well-known fixed-sampling control law, a more general probabilistic-sampling-based control strategy is developed to characterize the randomly sampling period. The system mode is considered to be related to the sojourn-time and undetectable.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!