Results 311 to 320 of about 19,469,886 (406)

Safety Evaluation of Repeated Application of Polymeric Microarray Patches in Miniature Pigs. [PDF]

Adv Healthc Mater
Anjani QK, Hutton ARJ, McKenna PE, Larrañeta E, Donnelly RF.   +4 more
europepmc   +1 more source

Safety evaluation of the food enzyme α-amylase from the non-genetically modified <i>Aspergillus</i> sp. strain AR-SHFA-109. [PDF]

EFSA J
EFSA Panel on Food Enzymes (FEZ), Zorn H, Barat Baviera JM, Bolognesi C, Catania F, Gadermaier G, Greiner R, Mayo B, Mortensen A, Roos YH, Solano MLM, Van Loveren H, Vernis L, Andryszkiewicz M, Cavanna D, Liu Y.   +15 more
europepmc   +1 more source

Safety evaluation of the food enzyme abstract aspergillopepsin I from the non-genetically modified <i>Aspergillus niger</i> strain CCTCC M 2023234. [PDF]

EFSA J
EFSA Panel on Food Enzymes (FEZ), Zorn H, Barat Baviera JM, Bolognesi C, Catania F, Gadermaier G, Greiner R, Mayo B, Mortensen A, Roos YH, Solano MLM, Van Loveren H, Vernis L, Andryszkiewicz M, Liu Y.   +14 more
europepmc   +1 more source

Safety evaluation of the food enzyme cellulase from the genetically modified <i>Aspergillus niger</i> strain NZYM-EN. [PDF]

EFSA J
EFSA Panel on Food Enzymes (FEZ), Zorn H, Barat Baviera JM, Bolognesi C, Catania F, Gadermaier G, Greiner R, Mayo B, Mortensen A, Roos YH, Solano MLM, Van Loveren H, Vernis L, Aguilera J, Criado A, Fernández-Fraguas C, Tokić V, Liu Y.   +17 more
europepmc   +1 more source

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MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

European Conference on Computer Vision, 2023
The security concerns surrounding Large Language Models (LLMs) have been extensively explored, yet the safety of Multimodal Large Language Models (MLLMs) remains understudied. In this paper, we observe that Multimodal Large Language Models (MLLMs) can be
Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao   +5 more
semanticscholar   +1 more source

Sociotechnical Safety Evaluation of Generative AI Systems

arXiv.org, 2023
Generative AI systems produce a range of risks. To ensure the safety of generative AI systems, these risks must be evaluated. In this paper, we make two main contributions toward establishing such evaluations.
Laura Weidinger, Maribeth Rauh, Nahema Marchal, Arianna Manzini, L. Hendricks, Juan Mateos-Garcia, Stevie Bergman, Jackie Kay, Conor Griffin, Ben Bariach, Iason Gabriel, Verena Rieser, William S. Isaac   +12 more
semanticscholar   +1 more source

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

arXiv.org, 2023
This work focuses on the potential of Vision LLMs (VLLMs) in visual reasoning. Different from prior studies, we shift our focus from evaluating standard performance to introducing a comprehensive safety evaluation suite, covering both out-of-distribution
Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie   +8 more
semanticscholar   +1 more source

Current physical techniques for the degradation of aflatoxins in food and feed: Safety evaluation methods, degradation mechanisms and products.

Comprehensive Reviews in Food Science and Food Safety, 2023
Aflatoxins are the most toxic natural mycotoxins discovered so far, posing a serious menace to the food safety and trading economy of the world, especially developing countries. How to effectively detoxify has persistently occupied a place on the list of
Zekang Peng, Yue Zhang, Zi-Jie Ai, R. Pandiselvam, Jiale Guo, A. Kothakota, Yanhong Liu   +6 more
semanticscholar   +1 more source

Recent advances in muscle food safety evaluation: Hyperspectral imaging analyses and applications

Critical reviews in food science and nutrition, 2022
As there is growing interest in process control for quality and safety in the meat industry, by integrating spectroscopy and imaging technologies into one system, hyperspectral imaging, or chemical or spectroscopic imaging has become an alternative ...
Hongbin Pu, Qingyi Wei, Da‐Wen Sun
semanticscholar   +1 more source