Results 71 to 80 of about 18,594 (262)

Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization

Journal of Big Data, 2017
Big data is predominantly associated with data retrieval, storage, and analytics. Data analytics is prone to privacy violations and data disclosures, which can be partly attributed to the multi-user characteristics of big data environments.
Mohammed Al-Zobbi, Seyed Shahrestani, Chun Ruan   +2 more
doaj   +1 more source

An Imaging‐Guided, Patient‐Specific Guiding Aid (RWNGuide) for Safe and Reproducible Inner Ear Drug Delivery

Advanced Materials Technologies, EarlyView.
A patient‐specific, imaging‐guided aid enables precise and reproducible drug delivery to the inner ear. By guiding therapeutic agents directly to the round window niche, this approach reduces variability in drug localization, improves delivery safety, and addresses a critical bottleneck in inner ear therapy, offering a scalable strategy for precision ...
Yanjing Luo, Shanshan Jiang, Yimian Luo, Adele Moatti, Farnaz Matin‐Mann   +4 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information

Journal of Intellectual Property
Current Korean court ruling disclosure systems inadequately balance public access and privacy regarding Artificial Intelligence (AI) owing to low disclosure rates and inefficient manual anonymization.
Eul Young Lim, MinSung Hyun
doaj   +1 more source

Targeting METTL3 Attenuates Thyroid Inflammatory Injury by Restoring Th17/Treg Balance through a YTHDC2‐m6A‐Dependent KDR/VEGFA Loop

Advanced Science, EarlyView.
METTL3‐mediated m6A modification stabilizes KDR/Kdr mRNA through YTHDC2, amplifying the VEGFA‐KDR feedback loop and disturbing Th17/Treg balance. This pathway promotes persistent inflammation and tissue damage in patients with AIT, and inhibiting the METTL3‐KDR axis effectively disrupts this circuit, alleviating thyroid tissue injury and disease ...
Qingyi Hu, Huan Liu, Anwen Ren, Zimei Tang, Jie Tan, Wen Yang, Jie Ming, Tao Huang   +7 more
wiley   +1 more source

Artificial Intelligence‐Based Body Composition Analysis Reveals Sex‐Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study

Advanced Science, EarlyView.
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li, Tingting Liu, Qian Yang, Zhiqing Zhang, Xiaofang Guo, Xiang Wang, Yihan Zhang, Limin Ge, Yu Su, Wenjun Wu, Weihua Guo, Zheng Wang, Lian Yang, Yanfeng Niu   +13 more
wiley   +1 more source

A Foundation Model Based CT Biomarker for Non‐Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non‐Small Cell Lung Cancer

Advanced Science, EarlyView.
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu, Shuchang Zhou, Qin Peng, Xiao Bao, Xiaodan Ye, Ahmet Görkem Er, Tong Tong, Mirabela Rusu, Yajia Gu, Mailin Chen, Jing Gong   +10 more
wiley   +1 more source

Analysis, Design, and Implementation of a User-Friendly Differential Privacy Application

Sensors
In the era of artificial intelligence, ensuring privacy in publicly released data is critical to prevent linkage attacks that can reveal sensitive information about individuals.
Reynardo Tjhin, Muhammad Sajjad Akbar, Clement Canonne, Rabia Bashir   +3 more
doaj   +1 more source

The Pursuit of Patterns in Educational Data Mining as a Threat to Student Privacy

Journal of Interactive Media in Education, 2019
Recent technological advances have led to tremendous capacities for collecting, storing and analyzing data being created at an ever-increasing speed from diverse sources.
Kyriaki H. Kyritsi, Vassilios Zorkadis, Elias C. Stavropoulos, Vassilios S. Verykios   +3 more
doaj   +1 more source

Anonymous Reviews:

Data Science Journal, 2012
In this article, the authors suggest that one method for increasing awareness of the benefits of data sharing can be affected by administering a survey, hopefully encouraging either a minority or majority influence on other members of the behavioural science community. The authors describe the process for creating such a survey and provide their survey,
openaire   +3 more sources