Results 51 to 60 of about 37,943 (245)

Toward location privacy protection in Spatial crowdsourcing [PDF]

International Journal of Distributed Sensor Networks, 2019
Spatial crowdsourcing is an emerging outsourcing platform that allocates spatio-temporal tasks to a set of workers. Then, the worker moves to the specified locations to perform the tasks. However, it usually demands workers to upload their location information to the spatial crowdsourcing server, which unavoidably attracts attention to the privacy ...
Hang Ye 0001, Kai Han 0003, Chaoting Xu, Jingxin Xu, Fei Gui   +4 more
openaire   +2 more sources

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Bivariate Correlation-Based Attack: A Challenge for Privacy Preservation of Location Sequence Data [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Data correlation is a critical issue for location sequence data privacy protection. Series-indistinguishability provides a theoretical basis for the differential privacy protection of temporally correlated location data and is implemented by the ...
L. Mao, Z. Xu, Z. Xu
doaj   +1 more source

Fusogenic RNA Nanomodules for Fusion‐Mediated and Multiplexed siRNA Delivery

Advanced Functional Materials, EarlyView.
A fusogenic lipid‐layered RNA nanomodules (L‐CRAMs) enable high‐capacity and long‐lasting siRNA delivery through membrane fusion. These nanomodules carry exceptionally large siRNA payloads, avoid conventional endosomal uptake, and release multiple functional siRNAs through Dicer‐mediated processing.
Sunghyun Moon, Iksoo Jang, Taehyeon Kim, Nayoung Yoon, Kyuha Yum, Jong Bum Lee   +5 more
wiley   +1 more source

A Novel Perfused Full‐Thickness Human Skin Microphysiological System for Modeling Injury, Regeneration, Tumor Pathophysiology, and Therapeutics Development

Advanced Healthcare Materials, EarlyView.
What if human skin could remain fully alive and functional outside the body for weeks? A New Alternative Method (NAM) based on a vascularized full‐thickness skin microphysiological system achieves precisely this, preserving native vasculature, resident immunity, and metabolic activity for up to three weeks, while faithfully recapitulating radiation ...
Yusuf Surucu, Hamid Malekzadeh, Alexa Rivera Del Rio Hernandez, Naresh Mahajan, Ethan Banks, Dayyan Ur Rahman, José A. Arellano, Katherine S. Yang, Alexey Altman, G.V. Naveen Kumar, Matthew L. Steinhauser, Jeffrey A. Gusenoff, J. Peter Rubin, Asim Ejaz   +13 more
wiley   +1 more source

Comprehensive location privacy enhanced model

iScience
Summary: With the increasing popularity of location-based services (LBSs), safeguarding location privacy has become critically important. Traditional methods often struggle to balance the intensity of privacy protection with service quality.
Haohua Qing, Roliana Ibrahim, Hui Wen Nies   +2 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Reprogramming the Immunosuppressive Microenvironment in Triple‐Negative Breast Cancer via FAP‐Targeted Nanoprobes for Multimodal Imaging and Photothermal Therapy

Advanced Materials, EarlyView.
Targeting cancer‐associated fibroblasts (CAFs) with fibroblast activation protein (FAP)‐directed nanoprobes for multimodal imaging and photothermal remodeling of the immunosuppressive microenvironment to enhance immunotherapy in triple‐negative breast cancer (TNBC).
Ling Zhan, Yanhong Chen, Jingjing Hu, Chunting Wang, Huanhuan Liu, Defan Yao, Dengbin Wang   +6 more
wiley   +1 more source