Results 41 to 50 of about 2,745,517 (297)

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Predictors of pre-service teachers’ attitudes toward artificial intelligence: An examination of AI literacy and anxiety

International Journal of Turkish Education Sciences
The primary purpose of this study is to investigate the relationships among pre-service teachers’ general attitudes toward artificial intelligence, their levels of AI anxiety, and their AI literacy skills.
Olcan Aslan, Feyza Nur Püsküllü, İrem Topuz, Mert Bilal Avados   +3 more
doaj   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Breast tumor detection in ultrasound images using artificial intelligence

, 2023
Leveraging artificial intelligence (AI) for categorizing breast tumors as malignant or benign from breast ultrasound images can provide an effective and relatively low-cost method for the diagnosis of breast cancer.
Subasi, Abdulhamit, Modi, Omkar
core   +1 more source

Targeting the KCNC3‐Dependent Anterior Insular‐Lateral Orbitofrontal Cortex Glutamatergic Circuit Attenuates Post‐Traumatic Anxiety

Advanced Science, EarlyView.
Frontal lobe traumatic brain injury is associated with hyperactivity of an insular–orbitofrontal circuit in both patients and mice. By combination of integrating functional imaging, cell‐type–specific circuit manipulation, single‐cell transcriptomics, and whole‐cell recordings, this work identifies the downregulation of the potassium channel KCNC3 in ...
Meng‐Ge Li, Xiao‐Bo Qian, Hai‐Long Zhang, Di Li, Ling Ji, Xin‐Chun Xu, Jia‐Sheng Ding, Li‐Jun Yin, Li Zhang, Guang‐Yin Xu, Rong Gao   +10 more
wiley   +1 more source

Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring

Advanced Science, EarlyView.
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen, Weiyi Wang, Yang Wang, Yiqiang Wu, Xiaohong Liu, Wei Zhang, Juanjuan Ou   +6 more
wiley   +1 more source

The Role of Artificial Intelligence Anxiety and Attitudes Toward Artificial Intelligence in University Students’ Job Finding Anxiety

Participatory Educational Research
The spread of artificial intelligence in the labor market is reshaping students’ employment expectations and creating concerns about the job search process. This study examines how students’ artificial intelligence related anxiety and attitudes influence their post graduation job finding anxiety.
Ayşin Gaye Üstün, Nazan Danacıoğlu
openaire   +1 more source

Analysis and prediction of athlete’s anxiety state based on artificial intelligence

PeerJ Computer Science, 2023
Obtaining athletes’ anxiety accurately and regulating their psychological state helps improve their competitive performance. Therefore, this article uses a hierarchical clustering algorithm to identify the sources of stress of track and field athletes. A novel and efficient hierarchical clustering algorithm is proposed in this article.
openaire   +3 more sources

Artificial Intelligence in Brain Computer Interface

, 2022
A brain-computer interface (BCI) is a connection path among brain and an external device. Motor imagery (MI) is proven to be a useful cognitive technique for enhancing motor skills as well as for movement disorder rehabilitation therapy. It is known that
Subasi, Abdulhamit
core   +1 more source

PLXDC2 siRNA‐Mediated Intervention Attenuates Microglial Senescence Through cGAS‐STING Signaling

Advanced Science, EarlyView.
PLXDC2 was identified as a microglial target in Parkinson's disease through human and mouse single‐cell analyses. Ferritin‐armed biomimetic nanovesicles delivered PLXDC2 siRNA, deferoxamine, and CeO2 nanoparticles across the blood–brain barrier, reducing cGAS‐STING activation, iron burden, oxidative stress, and senescence in microglia, thereby ...
Heyue Lu, Zitian Zheng, Feiran Wang, Huanhuan Luo, Fei Ju, Yucheng Zhu, Zheng Zhou, Jie Sun, Zhenghui Qiu, Xiang Luo, Zhongzheng Jia, Jianquan Wang, Hongjie Huang, Bo Zhang   +13 more
wiley   +1 more source