Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond

Artificial Intelligence Generated Content (AIGC) is one of the latest achievements in AI development. The content generated by related applications, such as text, images and audio, has sparked a heated discussion. Various derived AIGC applications are also gradually entering all walks of life, bringing unimaginable impact to people's daily lives. However, the rapid development of such generative tools has also raised concerns about privacy and security issues, and even copyright issues in AIGC. We note that advanced technologies such as blockchain and privacy computing can be combined with AIGC tools, but no work has yet been done to investigate their relevance and prospect in a systematic and detailed way. Therefore it is necessary to investigate how they can be used to protect the privacy and security of data in AIGC by fully exploring the aforementioned technologies. In this paper, we first systematically review the concept, classification and underlying technologies of AIGC. Then, we discuss the privacy and security challenges faced by AIGC from multiple perspectives and purposefully list the countermeasures that currently exist. We hope our survey will help researchers and industry to build a more secure and robust AIGC system.Comment: 43 pages, 10 figure

The Application of Hazard Vulnerability Analysis in the Preven-tion and Control of COVID-19 in Medical Institutions

Background: Coronavirus disease 2019 (COVID-19) has caused massive casualties, severe economic losses, and poses a threat to the world. This study's primary objective was to analyze the hospital's potential hazards of COVID-19 prevention and control. The second objective was to review the disaster plan and make recommendations to minimize the spread of COVID-19 in hospitals. Methods: An expert group for the prevention and control of COVID-19 in the First People's Hospital of Longquanyi Dis-trict, Chengdu, China was established. We adopted the hazard vulnerability analysis (HVA) to risk-stratify potential hazards and calculated relative risk values. We used the Delphi expert consultation method to propose and implement targeted improvement measures for the top five potential hazards. Then, the effects before and after the intervention were compared. Results: The top five hazards were: insufficient Personal Protective Equipment (PPE) (25.68%), inadequate diagnosis ability of clinicians (22.55%), and inadequate management strategies of patients and caregivers (22.38%), lack of professional ability of pre-checking and triage staff (16.96%), lack of knowledge of COVID-19 of medical staff (15.59%). After taking targeted improvement measures, the average score of the hospital staff's COVID-19 knowledge test increased from 73.26 points to 90.44 points, the average test score of the outsourcing company employees increased from 68.55 to 89.75 points. The differences were statistically significant (P<0.05). Conclusion: HVA can be used to systematically risk-stratify potential threats, measure the probability of those potential hazards, and develop various hospital prevention and control measures for COVID-19 epidemics

Effects of Ambient Microbiota on the Gut Microbiota of <i>Macrobrachium rosenbergii</i>

The gut microbiota (GM) compositions of aquatic animals are influenced by microorganisms in ambient water and sediment. However, the extent to which environmental microorganisms can affect shrimp GM composition is unknown. We analyzed the impact of water and sediment microorganisms on the GM of Macrobrachium rosenbergii at different growth stages. We collected water, sediment, and M. rosenbergii gut samples at the early, middle, and late stages of an M. rosenbergii culture and analyzed the microbiota composition. The shrimps’ body weight differed significantly between sampling stages. The shrimp GM composition differed significantly from that of the ambient water and sediment, and these differences were remarkably stronger than those between the shrimp GM at different sampling times and in different ponds. The proportion of sediment bacteria in the shrimp GM was approximately three times higher than that of water bacteria, which changed among ponds and over sampling time. These results provide important reference information for a deeper understanding of the impact of environmental microorganisms on the composition of shrimp GM. Moreover, the results also provide reference information for increasing the production of shrimp culture as well as ensuring a good health status of the culture

Morphology and structure of lead‐free CuSb‐based double perovskites for photocatalytic CO2 reduction

Abstract Lead‐free halide double perovskites (DPs) have attracted great attention due to their stability, nontoxicity, and good photophysical properties. Herein, environmentally friendly small‐bandgap Cs2CuSbCl6 and Cs4CuSb2Cl12 DPs microcrystals (MCs) are prepared via a solvent synthesis technique. This study also reports a bottom‐up synthetic protocol for obtaining evenly distributed Cs2CuSbCl6 and Cs4CuSb2Cl12 quantum dots (QDs) utilizing a modified hot injection approach. These MCs and QDs have strong absorption throughout the visible region, indicating that they could be promising light‐absorbing materials as sunlight‐driven photocatalysts. For the first time, the efficient sunlight‐driven photocatalytic CO2 reduction activity of these Pb‐free “green” MCs and QDs has been revealed, and a product yield of 307 μmol g−1 and an electron consumption of 1053 μmol g−1 are achieved by the Cs4CuSb2Cl12 QDs under 3 h irradiation. Our results highlight the potential of this family of materials for photocatalytic applications