Results 131 to 140 of about 812,194 (338)

Knowledge domain and emerging trends in beta‐cell research: A bibliometric and knowledge‐map analysis [PDF]

, 2023
Yunpeng Luo, Tong Wang, Zhuhong Chen, Guangde Zhang   +3 more
openalex   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Effects on a Deep-Learning, Seismic Arrival-Time Picker of Domain-Knowledge Based Preprocessing of Input Seismograms

Seismica
Automated seismic arrival picking on large and real-time seismological waveform datasets is fundamental for monitoring and research. Recent, high-performance arrival pickers apply deep-neural-networks to nearly raw seismogram inputs. However, there is a
Anthony Lomax, Matteo Bagagli, Sonja Gaviano, Spina Cianetti, Dario Jozinović, Alberto Michelini, Christopher Zerafa, Carlo Giunchi   +7 more
doaj   +1 more source

Bridging Multi-disciplinary Collaboration Challenges in ML Development via Domain Knowledge Elicitation [PDF]

, 2021
Soya Park
openalex   +1 more source

Cognitive Status in People With Epilepsy in the Republic of Guinea: A Prospective, Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick, Cheick O. Soumah, Malé Doré, Oumar Mara, Desiré Neldje, Fodé A. Cissé, Toure M. Lamine, Aminata Diallo, Seungwon Lee, Siddharth Satish, Alexander J. X. Chen, Alice Liu, Nomin Enkhtsetseg, Farrah J. Mateen, The Guinea Epilepsy Project   +14 more
wiley   +1 more source

Importance of Domain Knowledge for Machine Learning [PDF]

, 2022
Mohamed El-Hadi
openalex   +1 more source

ALS With and Without Upper Motor Neuron Signs: A Comparative Study Supporting the Gold Coast Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung, E‐nae Cheong, Jungmin So, Heung‐Won Kang, Yangsean Choi, Eun‐Jae Lee, Hyunjin Kim, Young‐Min Lim   +7 more
wiley   +1 more source

WBC-KICNet: knowledge-infused convolutional neural network for white blood cell classification

Machine Learning: Science and Technology
White blood cells (WBCs) are useful for diagnosing infectious diseases and infections. Machine learning and deep learning have been used to classify WBCs from blood smear images.
Jeneessha P, Vinoth Kumar Balasubramanian, M Murugappan   +2 more
doaj   +1 more source

Deliberation network-based feature fusion for Chinese- English neural machine translation

Journal of Applied Science and Engineering
Neural machine translation (NMT) has achieved remarkable results in sentence-level translation, but the text problems of sentence-level translation, such as consistency and reference, are solved by using context information.
Renshui Fan
doaj   +1 more source