While remote storage technology for private data can provide convenience for users, the risk of interception attacks on private data during transmission is also increased. To improve security, sensitive data should be encrypted before uploading to remote devices. So, how to manage the secure key efficiently and reliably is very significant to data security. Multi-factor authentication is one of the key technologies to ensure the security of data transmission, and it has been widely applied in security fields, such as privacy data protection, access rights management, and online payment, etc. To ad dress these problems, a key storage strategy based on multi-factor authentication is proposed to enhance secure key management. First, the key is split using chamir ( 2, 3) based on the indentified device indentity information. Second, it encrypts the identity information of the devices using public key encryption, and concels a share of the secure key derived from Shamir’s secret sharing, as well as the private key used in public key encryption, through the users private login password and biometric feature. Finally, all of the above information related to the secure key is processed by a series of computations and then are stored in the designated devices, respectively. Analysis in theory shows that our framework possesses the advantages of flexible authentication, efficient and reliable key management, and secure communication. Moreover, to further illustrate the effectiveness of the approach, experiments on BAN logic analysis and heuristic security analysis were carried out. The experimental results show that the proposed framework can negotiate session keys securely and resist various known attacks.

MicroRNAs ( miRNAs) are a class of non-coding single-stranded RNA molecules encoded by endogenous genes, with a length of about 22 nucleotides. They participate in post-transcriptional gene expression regulation in animals and plants. Numerous studies have shown that miRNAs play crucial roles in the occurrence and development of various complex diseases, including tumors. Therefore, identifying disease related miRNAs is of significant importance for studying disease mechanisms and developing appropriate treatment strategies. Given the time consuming and costly nature of wet-lab validation methods, many researchers focus on eveloping efficient computational models to identify novel miRNA disease associations. This study proposes a data-driven model based on autoencoders to predict miRNA-disease associations. The results indicate that the disease-related miRNAs predicted are significantly enriched in the list of disease-related miRNAs from the HMDD database. Furthermore, by analyzing the top-ranked miRNAs, it was found that these miRNAs perform crucial biological functions and accurately exhibit disease classification. In conclusion, the model proposed in this paper serves as a valuable auxiliary tool for the discovery of disease-related miRNAs.

To systematically evaluate the efficacy and risk of probiotics combined with mesalazine in the treatment of inflammatory bowel disease ( IBD) . CNKI, Wanfang, VIP databases, The Cochrane Library, The PubMed and Embase were searched by computer, the literatue search included articles from the estabishment of the databases to May 2023. The RevMan 5. 4 software was used to conduct a statistical analysis of the correlation between the literature and data information obtained by two reviewers who were screened independently according to the inclusion and exclusion criteria, and which had been assessed for risk of bias. A total of 26 randomized controlled trials including 2707 patients with inflammatory bowel disease were included. Meta-analysis results showed that probiotics combined with mesalamine could significantly improve the total effective rate ( OR = 4.45, 95% CI: 3.50 ~ 5.66, P < 0.000 01) , and reduce the inflammatory mediators TNFα ( SMD = - 1 90, 95% CI: - 2. 91 ~- 0 90, P = 0 000 2) , IL8( SMD = - 1.60, 95% CI: - 2. 04 ~ - 1.16, P < 0.000 01) , increased immune factor IL10 ( SMD = 1.79, 95% CI: 0. 47 ~ 3.10, P = 0. 008) . At the same time, the combination therapy can better improve the patient’s immune function and enhance the intestinal mucosal barrier. Probiotics combined with mesalazine can significantly control inflammation, enhance human immunity, and improve intestinal mucosa, which is an effective method for the treatment of IBD. 

An organic small molecular material ( N, Ndicarbazolyl3, 5benzene, mCP) with hole transporting ability was introduced as an interfacial barrier layer between the metal halide perovskite luminescent layer( CsPbBr3 ) and the strongly acidic polymer poly( 3, 4ethylenedioxythiophene) : poly ( styrenesulfonic acid)( PEDOT: PSS) to protect CsPbBr3 from corrosion. The study showed that mCP not only can spatially isolate CsPbBr3 and PEDOT: PSS to inhibit the degradation of PEDOT: PSS on the CsPbBr3 luminescent layer, but also can improve the film quality, making the coverage of the perovskite film higher and the grains smaller, and thus reducing the quenching defect. At the same time, the introduction of mCP can improve the hole injection and transport ability, resulting in more excitons generated under the same voltage. Since mCP has a higher lowest electron unoccupied state and a larger energy gap than PEDOT: PSS, which can confine excitons better in the luminescent layer, improving the radiation recombination of excitons, thereby improving the electroluminescence efficiency of the device further. Compared with the reference device without mCP, the electroluminescence performance of the 3D CsPbBr3 perovskite light- emitting diode ( PeLED) based on mCP was significantly improved, achieving a maximum current efficiency of 4 86 cd / A. Subsequently, this method was also proven to be feasible in quasi-two-dimensional PeLEDs based on PEA2 Csn - 1 Pbn Br3n + 1 , exhibiting the maximum current efficiency of 24.79 cd / A.

Workshop operations are often faced with many random event perturbations, which can disrupt the original scheduling scheme and cause chaos and productivity loss in the workshop. In this pa per, a hybrid rescheduling driver is used to respond to the random events by taking four scenarios as random machine failures that can be recovered, cannot be recovered or take a long time to recover, emergency workpiece insertion, and machine failures that occur during emergency workpiece insertion. Meanwhile, a dynamic flexible job shop scheduling model is constructed, and the crow search algorithm, which is originally used to deal with the continuity problem, is improved by adopting machine based and process-based discrete coding, and designing the generation method of the three subgenera-tions to enhance the global searching capability, and avoiding the generation of local optimums with a certain probability of mutation. The IG iterative greedy algorithm is also used to increase the pioneering ability of the algorithm. The completion time deviation and sequence deviation are used as evaluation criteria to compare and analyze the right-shift rescheduling and complete rescheduling in several test cases, and at the same time, the algorithm proposed in this paper is compared with the genetic algorithm GA and differential evolution algorithm DE, and the experiments prove that the algorithm pro-posed in this paper has the superiority and high efficiency when testing different scheduling methods.

Based on the perspective of spatial heterogeneity, this paper judges and diagnoses the green development status of Guangdong Province and reveals its evolution law, intends to provide reference for targeted policies. It also evaluates the difference of green development level and rate in Guangdong Province and the “ one core, one belt and one zone” using the method of entropy from 2006 to 2019, and the spatial analysis was carried out. The results showed that: ①The overall level of green development in Guangdong continues to rise, and the levels of green developmen in the Coastal Economic Belt and the Northern Ecological Area are lower than the average of the whole province. The social equity index of the green development support structure has the fastest growth. ②The green development support structure in the Pearl River Delta maintains the characteristics of ‘ three wheel drive’ of green production, green life and social equity, but the growth rate is obviously slowed down, especially green production. ③The level of green development in Guangdong was significantly different among regions, while the degree of regional agglomeration increased and the high level areas tended to be concentrated. The green development trend of the Northern Region is good, but Qingyuan and Shaoguan still need to make efforts, however the Coastal Economic Belt of Maoming is stable and has a high level of development. Therefore, the following recommendation is proposed: Make progress in consolidating social equity and facing up to the regional differences in green development levels, improve the stability of green production in the Coastal Economic Belt and the Northern Ecological Area, exert the spatial spillover effect of green development in the Pearl River Delta and Maoming city.

Guangdong Province is an important coastal province in China, and the coastline line in Huizhou is an important part of Guangdong Province. However, the dynamics of Huizhou’s coastline in the past 30 years are still uncertain. Here, based on the Google Earth Engine platform and the Landsat series of images from 1990 to 2020, this study obtained the MNDWI ( Modified Normalized Difference Water Index) and land use distribution along the coast of Huizhou from 1990 to 2020, and further combined the method of visual interpretation to extract the coastline of Huizhou from 1990 to 2020. The results show that: ①The coastline lengths of Huizhou in 1990, 2000, 2010 and 2020 were 240.11 km, 242. 36 km, 260.90 km and 282. 83 km, respectively. Between 1990 and 2020, the length of the Huizhou coastline increased by 42.72 km. ②From 1990 to 2020, within the 5kilometer buffer zone of Huizhou’s coastline in 2020, the area of agricultural land decreased the most, with an area of 146.47 km2 , which was mainly affected by the policy of “ Returning Farmland to Forest” . The building area increased from 20.40 km2 to 135.46 km2 , with an increase of 115.06 km2 . ③From 2010 to 2020, oyster farms began to appear along the coast of Huizhou, with an area of about 10.28 km2 . The above results are helpful for the management of Huizhou marine ecology.

In today’s international economic development, the Bay Area occupies a pivotal position, and the Bay Area economy is an important support that leads the economic development of a country and even affects the entire world economy. Developing the economy of the Bay Area is a powerful means to promote the economic growth of cities and even the country. The Guangdong-Hong Kong-Ma-cao Greater Bay Area has innate foundations and advantages, but there are also new challenges and barriers. Based on the economic foundation and status quo of the Greater Bay Area, by comparing the development experience with the other three major bay areas in the world. This paper will analyze the advantages and existing challenges, respectively in terms of system and mechanism innovation; promoting education talent innovation; how to promote the integration of industry, academia and research within the Bay Area; how to give full play to the role of Hong Kong’s “ super contact” ; the identity of the Bay Area and how to explore new governance models in the post-epidemic era, etc. The Guang dong-Hong Kong-Macao Greater Bay Area provides certain theoretical guidance for building a world class bay area and a world class city cluster.

This paper studies a multicarrier non-orthogonal multiple access ( MC-NOMA) based mobile edge computing ( MEC) system which consists of a user terminal, a cooperative node, and an access point equipped with an MEC server. The goal is to minimize the energy consumed for communication and computation at the user terminal and the cooperative node. To this end, a novel MEC protocol is first proposed, in which the user terminal and the cooperative node are enabled to offload their computation tasks with high spectral efficiency by employing the MCNOMA technique. Then, under the proposed protocol, an optimization problem is formulated to jointly optimize the allocation of task offloading time and computation time, subcarrier allocation, power allocation over each subcarrier, task partition and the CPU frequency of the MEC server. The formulated problem is a highly nonconvex and mixed integer programming problem, which is quite challenging to solve. By using algebraic transformation, big M formulation, layered optimization, successive convex approximation and golden section techniques, the solution of the problem is achieved, and an efficient optimization algorithm is developed. Simulation results show that by employing the MCNOMA technique, the proposed scheme can save 50 to 60 percent energy consumption for the MEC system as compared with the scheme in the literature where only the multicarrier technique is employed.