Results 111 to 120 of about 12,207 (262)

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

Advanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang, Chenyang Li, Xinxiu Xu, Xindong Wang, Yongcheng Guo, Xiaoke Chai, Tianqin Cao, Jiuxiang Song, Nan Wang, Xueming Zhang, Yi Yang, Cong Zheng, He Cui   +12 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

The Insistence of Blackness and the Persistence of Antiblackness in Ireland

Australian Journal of Social Issues, EarlyView.
ABSTRACT This paper positions Ireland as a critical site for examining the insistence of blackness and an antiblackness created and sustained through Irish ethnonationalist imaginaries and exclusionary processes. Drawing on connected sociologies and Irish Black Studies, this enquiry argues that antiblackness in Ireland operates as a generational force,
Philomena Mullen
wiley   +1 more source

Predominance of Ferroptotic Cell Death Mechanisms in Substantia Nigra Neurodegeneration in Parkinson's Disease

Annals of Neurology, EarlyView.
Objective The extent of neuronal loss in Parkinson's disease (PD) and the pathogenic processes underlying neuronal dysfunction and loss remain poorly understood. Here, we analyzed the expression of key molecules representing different cell death signaling pathways and their association with Lewy pathology, dopaminergic (DA) neuron loss and stage of PD ...
Yue Jing Heng, Anusha Jayaraman, Richard Reynolds, Jia Nee Foo   +3 more
wiley   +1 more source

Mapping the integration of artificial intelligence and digital technologies in health technology assessment: a scoping review protocol of global knowledge and practices. [PDF]

Syst Rev
Alkhaldi M, Kachach R, Alrubaie M, Ghach W, Al Dallal S, Musina N, Albarqouni S, Ahmed S, Dawoud D, Al-Rabayah A, Jameleddine M, Fasseeh AN, Quaiattini A, Ahmed S.   +13 more
europepmc   +1 more source

Application of mixed augmented reality with holographic platform for interactive teaching of veterinary osteology. [PDF]

3D Print Med
Reimão CL, Assis Neto AC.
europepmc   +1 more source

Semi‐automated assessment for NatureServe subnational conservation status ranks for state floras

Applications in Plant Sciences, EarlyView.
Abstract Premise Conservation status ranks measure the potential risk of extinction for species at global, national, and subnational levels, taking into account rarity, threats, and trends. These assessments are largely incomplete due to funding and resource limitations.
Julia H. Prins, Joey Shaw
wiley   +1 more source

A high-performance training-free pipeline for robust random telegraph signal characterization via adaptive wavelet-based denoising and Bayesian digitization methods. [PDF]

Sci Rep
Bai T, Kapoor A, Kim NY.
europepmc   +1 more source

Supporting Digital Tools for Humanists: Investigating Tool Infrastructure

, 2009
The original “Tools for Humanists” report (Nguyen and Shilton 2008) evaluated more than 30 digital tools designed for use by the humanities community. The report focused on the success of these tools not as measured by metrics of effectiveness or performance, but rather by the accessibility of tools. The report defined accessibility broadly.
openaire   +1 more source

An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants

Applications in Plant Sciences, EarlyView.
Abstract Premise Plants are frequently exposed to combinations of abiotic and biotic stresses that pose a greater threat to yield and productivity than individual stresses. However, knowledge of the impact of many stress combinations in numerous plants is limited due to the lack of experimental data, which could take decades to generate.
Piyush Priya, Prachi Pandey, Rubi Jain, Manu Kandpal, Shradha Jain, Rim Chaudhury, Venkategowda Ramegowda, Muthappa Senthil‐Kumar   +7 more
wiley   +1 more source