Results 51 to 60 of about 442,961 (254)

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Reconfigurable intelligent surface assisted grant-free massive access (invited paper)

Intelligent and Converged Networks, 2022
Massive machine-type communications (mMTC) is envisioned to be one of the pivotal scenarios in the fifth-generation (5G) wireless communication, where the explosively emerging Internet-of-Things (IoT) applications have triggered the demand for services ...
Xingyu Zhou, Keke Ying, Shicong Liu, Malong Ke, Zhen Gao, Mohamed-Slim Alouini   +5 more
doaj   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

Distributed IoT With LEO Satellites: Optimal Attempt Rate Schemes With Low Feedback

IEEE Open Journal of the Communications Society
Low Earth Orbit (LEO) nano-satellite communications are playing an increasingly vital role in supporting ground-based Internet of Things (IoT) sensing applications. A key challenge is designing grant-free uplink communication access schemes that are fair
Philip Whiting, Dhanushka P. Kudathanthirige, Swaroop Gopalam, Hazer Inaltekin, Iain B. Collings, Stephen V. Hanly   +5 more
doaj   +1 more source

Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni, Cecile Pagan, Antony Citterio‐Quentin, Isabelle Rouvet, Giulia Dingeo, Cyril Hanin, Claudine Laurent‐Levinson, Samia Pichard, Bénédicte Héron, Clément Gourguechon, Daniele Mandia, Jerome Guitton, Carole Lacout, Nicolas Schleinitz, Florient Potier, Olivier Flabeau, Elsa Besse‐Pinot, Foudil Lamari, Magali Pettazzoni, Yann Nadjar   +19 more
wiley   +1 more source

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

The challenges of M2M massive access in wireless cellular networks

Digital Communications and Networks, 2015
The next generation of communication systems, which is commonly referred to as 5G, is expected to support, besides the traditional voice and data services, new communication paradigms, such as Internet of Things (IoT) and Machine-to-Machine (M2M ...
Andrea Biral, Marco Centenaro, Andrea Zanella, Lorenzo Vangelista, Michele Zorzi   +4 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Distributed IoT Communications With LEO Satellites: QoS Performance and Terminal Attempt Rate Schemes

IEEE Open Journal of the Communications Society
Low Earth Orbit (LEO) satellites are increasingly being used to provide connectivity for wide area Internet of Things (IoT) sensing applications. Distributed IoT terminals are not able to coordinate their uplink transmissions to the nano-satellites, and ...
Swaroop Gopalam, Dhanushka Kudathanthirige, Iain B. Collings, Stephen V. Hanly, Hazer Inaltekin, Philip Whiting   +5 more
doaj   +1 more source

Compressive Massive Random Access for Massive Machine-Type Communications (mMTC)

2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018
In future wireless networks, one fundamental challenge for massive machine-type communications (mMTC) lies in the reliable support of massive connectivity with low latency. Against this background, this paper proposes a compressive sensing (CS)-based massive random access scheme for mMTC by leveraging the inherent sporadic traffic, where both the ...
Malong Ke, Zhen Gao 0001, Yongpeng Wu 0001, Xiangming Meng   +3 more
openaire   +4 more sources