With the rise of remote collaboration,the demand for advanced storage and collaboration tools has rapidly increased.However,traditional collaboration tools primarily rely on access control,leaving data stored on cloud servers vulnerable due to insufficient encryption.This paper introduces a novel mechanism that encrypts data in‘bundle’units,designed to meet the dual requirements of efficiency and security for frequently updated collaborative data.Each bundle includes updated information,allowing only the updated portions to be reencrypted when changes occur.The encryption method proposed in this paper addresses the inefficiencies of traditional encryption modes,such as Cipher Block Chaining(CBC)and Counter(CTR),which require decrypting and re-encrypting the entire dataset whenever updates occur.The proposed method leverages update-specific information embedded within data bundles and metadata that maps the relationship between these bundles and the plaintext data.By utilizing this information,the method accurately identifies the modified portions and applies algorithms to selectively re-encrypt only those sections.This approach significantly enhances the efficiency of data updates while maintaining high performance,particularly in large-scale data environments.To validate this approach,we conducted experiments measuring execution time as both the size of the modified data and the total dataset size varied.Results show that the proposed method significantly outperforms CBC and CTR modes in execution speed,with greater performance gains as data size increases.Additionally,our security evaluation confirms that this method provides robust protection against both passive and active attacks.
During pregnancy,maternal immune activation(MIA),due to infection,chronic inflammatory disorders,or toxic exposures,can result in lasting health impacts on the developing fetus.MIA has been associated with an increased risk of neurodevelopmental disorders,such as autism spectrum disorder(ASD)in the offspring.ASD is characterized by increased repetitive and stereotyped behaviors and decreased sociability.As of 2020,1 in 36 children are diagnosed with ASD by the age of 8 years,with ASD rates continuing to increase in prevalence in USA(Tamayo et al.,2023).Post-mortem brain studies,biomarker and transcriptomic studies,and epidemiology studies have provided compelling evidence of immune dysregulation in the circulation and brain of individuals diagnosed with ASD.Currently,the etiology of ASD is largely unknown,however,genetic components and environmental factors can contribute to increased susceptibility.Maternal allergic asthma(MAA),a form of MIA,has been identified as a potential risk factor for developing neurodevelopmental disorders(Patel et al.,2020).Asthma is a chronic inflammatory condition driven by a T-helper type(TH)2 immune response.
以“采煤机、刮板输送机、液压支架”工作面三机,“转载机、破碎机、带式输送机”顺槽三机以及供电系统、供液系统、控制系统和通信系统为配套的大型采煤设施装备是煤炭工业平稳高效发展的重要支柱。本项目以满足特厚煤层超大采高综放开采装备配套需求为目标,以高可靠性、长寿命、自动化、智能化技术为攻关重点,开发包含装机功率2×2000 kW前部输送机、装机功率3×1600 k W后部输送机及配套转载机、破碎机的超重型、超大运量,以及操作方式的自动化、智能化、形成了高可靠性综放工作面成套输送设备,并通过运输过程中发现的问题对转载机进行了相应的升级改造,确保了煤块流畅地卸载于顺槽转载机上,尽量减少回煤;创新性地开发了带式自移支撑装置,实现了装置的自行前移、支撑高度调整,有效减少了带式输送机中间架拆架次数。运输系统设备的升级改造满足产量15 Mt/a以上特厚煤层综放工作面开采需要。