Results 121 to 130 of about 47,575 (276)

Facial Dataset Anonymization: Striking the Balance Between Privacy and Utility

IEEE Access
The availability of publicly accessible datasets with identifiable facial images is essential for various research and development purposes. However, this wide access also underscores an increasing need for robust privacy protection. Regulations like the
Emna Bensaid, Mohamed Neji, Habib Chabchoub, Khmaies Ouahada, Adel M. Alimi   +4 more
doaj   +1 more source

Lost in Anonymization - A Data Anonymization Reference Classification Merging Legal and Technical Considerations. [PDF]

J Law Med Ethics, 2020
Vokinger KN, Stekhoven DJ, Krauthammer M.   +2 more
europepmc   +1 more source

Smartly Assembled near‐Micron RF‐Responsive Agents Bridge Transarterial Embolization and Immunothermal Potentiation

Advanced Science, EarlyView.
ABSTRACT Hepatocellular carcinoma (HCC) remains a significant clinical challenge due to the limited efficacy of conventional treatments like surgery, radiofrequency ablation (RFA), and transarterial embolization (TAE). Here, we develop an innovative TAE and immunothermal therapy strategy based on smartly assembled near‐micron layered double hydroxide ...
Qitao Hu, Junkang Ding, Lingxiao Zhang, Zhou Tian, Cheng Zeng, Shaomin Zou, Wenjing Zhang, Tangye Zeng, Zhencang Gao, Zhouyi Sun, Gang Liu, Weiyu Chen, Zhe Tang   +12 more
wiley   +1 more source

Privacy of Study Participants in Open-access Health and Demographic Surveillance System Data: Requirements Analysis for Data Anonymization.

JMIR Public Health Surveill, 2022
Templ M, Kanjala C, Siems I.
europepmc   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

Advanced Energy and Sustainability Research, EarlyView.
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa, Silvia Bobba, Cynthia E. L. Latunussa, Enrica Leccisi   +3 more
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

Agribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann, Ching‐Hua Yeh, Matthew Gorton, Barbara Tocco, Áron Török   +4 more
wiley   +1 more source

Semi-local Time sensitive Anonymization of Clinical Data

Scientific Data
A method for the anonymization of time-continuous data, which preserves the relation between the time- and value dimension is proposed in this work. The approach protects against linking- and distribution attacks by providing k-anonymity and t-closeness.
Freimut Gebhard Herbert Hammer, Mateusz Buglowski, André Stollenwerk   +2 more
doaj   +1 more source

Animal‐Based Brands Taking the Plant‐Based Opportunity: A Tasting Experiment Exploring Consumer Acceptance of Plant‐Based Brand Extensions

Agribusiness, EarlyView.
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani, Mirta Casati, Elena Castellari, Fosca Vezzulli, Veronica Vitali, Milena Lambri, Claudio Soregaroli   +6 more
wiley   +1 more source

Dataset of anonymized discharge summaries of sepsis patients from a Brazilian tertiary hospital for NLP applications.Dataverse

Data in Brief
The availability of Brazilian Portuguese health record text datasets for Natural Language Processing (NLP) applications is limited, especially for educational purposes.
Rildo Pinto da Silva, Antonio Pazin-Filho   +1 more
doaj   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source