Results 171 to 180 of about 400,394 (246)

Exploring the impact of meaning in life on the professional commitment of nursing students on the basis of general self-efficacy: a structural equation modelling approach. [PDF]

BMC Med Educ
Panahi A, Haghighi S, Sayadi N, Seyyedtabib M.   +3 more
europepmc   +1 more source

Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley   +1 more source

Ethical principles, sensitivity, and caring behaviors among nursing students: a cross-sectional study. [PDF]

BMC Nurs
Danacı E, Erdoğan TK.
europepmc   +1 more source

Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency

Advanced Intelligent Systems, EarlyView.
The radiomics feature could save the storage space of all medical samples; on the other hand, it avoids data leakage. Graph convolutional neural networks could summarize the similarity of benign and malignant pulmonary nodules to improve the performance in distinguishing them with radiomics and common clinical features.
Renjie Xu, Zhanlue Liang, Dan Wang, Rui Zhang, Jiayi Li, Lingfeng Bi, Kai Zhang, Weimin Li   +7 more
wiley   +1 more source

Cloud‐Based Control System with Sensing and Actuating Textile‐Based IoT Gloves for Telerehabilitation Applications

Advanced Intelligent Systems, EarlyView.
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem, Cagatay Gumus, Ayse Feyza Yilmaz, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +5 more
wiley   +1 more source

Ethical challenges in sensitive research: a reflective narrative on managing the clinician-researcher dual role. [PDF]

BMC Palliat Care
Salifu Y.
europepmc   +1 more source

Enhanced Multitask Learning with Attention Sparse Routing Mechanism for Intelligent Diabetes Prediction

Advanced Intelligent Systems, EarlyView.
The model leverages patient time‐space information for pattern feature representations. Encoders extract first and second‐order features, aggregated with categorical embeddings and dense features. Task‐specific and shared experts use gated networks, with a dispatch layer routing information for diabetes risk evaluation and blood glucose prediction ...
Yingshuai Wang, Hongpu Hu, Liqin Xie, Qingkun Chen, Xingyun Lei, Panpan Qin, Yan Wang, Xing Gao, Yanli Wan   +8 more
wiley   +1 more source

Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data

Advanced Intelligent Systems, EarlyView.
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang, Lin Li, Long Cheng, Yujie Liu, Zhaoqing Liu, Jiangpeng Wu, Pengyi Zhang, Jiarui Wang, Dekui Zhang, Shuyan Li   +9 more
wiley   +1 more source

Professional Ethics

openaire   +3 more sources

A Literature Survey on Potential Private User Information Leakage in Metaverse Applications

Advanced Intelligent Systems, EarlyView.
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley   +1 more source