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Abstract With the exacerbation of the aging population trend, a series of neurodegenerative diseases caused by brain aging have become increasingly common, significantly impacting the daily lives of the elderly and imposing heavier burdens on nations and societies. Brain aging is a complex process involving multiple mechanisms, including oxidative stress, apoptosis of damaged neuronal cells, chronic inflammation, and mitochondrial dysfunction, and research into new therapeutic strategies to delay brain aging has gradually become a research focus in recent years. Mesenchymal stem cells (MSCs) have been widely used in cell therapy due to their functions such as antioxidative stress, anti-inflammation, and tissue regeneration. However, accompanying safety issues such as immune rejection, tumor development, and pulmonary embolism cannot be avoided. Studies have shown that using exosome derived from mesenchymal stem cells (MSC-Exo) for the treatment of neurodegenerative diseases is a safe and effective method. It not only has the therapeutic effects of stem cells but also avoids the risks associated with cell therapy. Therefore, exploring new therapeutic strategies to delay normal brain aging from the mechanism of MSC-Exo in the treatment of neurodegenerative diseases is feasible. This review summarizes the characteristics of MSC-Exo and their clinical progress in the treatment of neurodegenerative diseases, aiming to explore the possibility and potential mechanisms of MSC-Exo in reversing brain aging.

Abstract Background Graded diagnosis and treatment, referral, and expert consultations between medical institutions all require cross domain access to patient medical information to support doctors’ treatment decisions, leading to an increase in cross domain access among various medical institutions within the medical consortium. However, patient medical information is sensitive and private, and it is essential to control doctors’ cross domain access to reduce the risk of leakage. Access control is a continuous and long-term process, and it first requires verification of the legitimacy of user identities, while utilizing control policies for selection and management. After verifying user identity and access permissions, it is also necessary to monitor unauthorized operations. Therefore, the content of access control includes authentication, implementation of control policies, and security auditing. Unlike the existing focus on authentication and control strategy implementation in access control, this article focuses on the control based on access log security auditing for doctors who have obtained authorization to access medical resources. This paper designs a blockchain based doctor intelligent cross domain access log recording system, which is used to record, query and analyze the cross domain access behavior of doctors after authorization. Through DBSCAN clustering analysis of doctors’ cross domain access logs, we find the abnormal phenomenon of cross domain access, and build a penalty function to dynamically control doctors’ cross domain access process, so as to reduce the risk of Data breach. Finally, through comparative analysis and experiments, it is shown that the proposed cross domain access control model for medical consortia based on DBSCAN and penalty function has good control effect on the cross domain access behavior of doctors in various medical institutions of the medical consortia, and has certain feasibility for the cross domain access control of doctors.

Background: Acute liver injury (ALI) is a prevalent and potentially lethal condition globally, where pharmacotherapy plays a vital role. However, challenges such as rapid drug excretion and insufficient concentration at hepatic lesions often impede the treatment’s effectiveness. Methods: We successfully prepared glycyrrhizinate monoammonium cysteine (GMC)-loaded lipid nanoparticles (LNPs) using high-pressure homogenization. The characterization and safety of the LNPs were measured using electrophoretic light scattering (ELS), transmission electron microscopy (TEM), dynamic light scattering (DLS), cytotoxicity assays, and hemolysis tests. The distribution of LNPs in mice was explored using fluorescence labeling methods. The encapsulation efficiency of LNP-GMC was detected using High-Performance Liquid Chromatography (HPLC), and its slow-release effect on GMC was assessed through dialysis. The therapeutic effects of LNP-GMC and pure GMC on the ALI model were evaluated using fibroblast activation protein inhibitor (FAPI) PET imaging, blood biochemical indicators, and liver pathology slices. Results: The encapsulation of GMC in LNPs enhances drug stability and prolongs its hepatic retention, significantly improving its bioavailability and sustained release within the liver. This study also explores the expression of fibroblast activation protein (FAP) in ALI, employing 68Ga-FAPI PET/CT imaging for effective differentiation and assessment of liver injury. Conclusions: Our results suggest that LNPs offer an enhanced therapeutic approach for ALI treatment, reducing the required drug dosage, and 68Ga-FAPI PET/CT imaging provides a novel method for diagnosis and treatment assessment. This study contributes valuable insights into the utilization of LNPs in liver disease treatment, presenting a promising direction for future clinical applications.

To evaluate the tolerance of a high-fiber diet in Erhualian pigs (Er-HL), the present investigation systematically investigated the ramifications of varying wheat bran fiber levels, specified as total dietary fiber (TDF) values of 14.07%, 16.32%, 17.99%, and 18.85%, on growth performance, fiber digestibility and gut microbiota in Er-HL, large Large White pigs (L-LW, the same physiological stage as the Er-HL) and small Large White pigs (S-LW, the same body weight as the Er-HL). Our results revealed that fiber levels exerted no discernable impact on growth performance (average daily feed intake (ADFI), and average daily gain (ADG)) of Er-HL (p > 0.05). Conversely, L-LW exhibited a decrease in ADFI and ADG with increasing fiber levels (p < 0.05). Notably, the apparent total tract digestibility (ATTD) of various fiber components, including neutral detergent fiber (NDF), acid detergent fiber (ADF), hemicellulose, TDF and insoluble dietary fiber (IDF), in Er-HL were significantly higher than those in S-LW and L-LW irrespective of diets (p < 0.05). The ATTD of cellulose and hemicellulose in Er-HL significantly decreased with increasing fiber levels (p < 0.05), yet remained statistically indifferent when comparing the 7%-wheat-bran-replaced diet (7% WRB, TDF 16.32%) to the basal diet (TDF 14.07%) (p > 0.05). The cecal microbiota of Er-HL had higher richness estimators (Chao1 and ACE) than those of S-LW and L-LW irrespective of diets (p < 0.01). Breed serves as a pivotal determinant in shaping swine gut microbiota. Thirteen genera were selected as the key bacteria related to high fiber digestibility of Er-HL. Further functional examination of these key genera elucidated an enrichment of pathways pertinent to carbohydrate metabolism in Er-HL samples compared with S-LW and L-LW samples. In summary, Er-HL exhibited high-fiber tolerance both in terms of growth performance and fiber digestibility compared with Large White pigs. Specifically, the ATTD of NDF, ADF, hemicellulose, IDF and TDF were significantly higher in Er-HL compared with L-LW and S-LW, irrespective of diets. Fiber level exerted no discernable impact on growth performance (ADFI, ADG) and the ATTD of fiber (NDF, ADF, IDF and TDF) in Er-HL. The optimum fiber level of the Er-HL was identified as 7% WRB (TDF 16.32%). Thirteen genera were ascertained to significantly contribute to high fiber digestibility of Er-HL, correlating with an enhancement of carbohydrate metabolism pathways.

In the downlink scenario of satellite-earth integrated networks, the secondary systems ought to share spectrum resources with no extra interference on the primary system under the premise of interference constraints. However, due to various factors, e.g., equipment failure or selfish drive, interference constraint violation (ICV) exists, which seriously threatens the reliable communication of primary systems. Therefore, effective detection of the secondary users' working status is necessary to protect the communication of primary user. In this paper, a new geolocation spectrum database is introduced to coordinate the information interaction for spectrum usage and surveillance, and a detection framework is proposed to detect the ICV behaviors, which utilizes the generalized likelihood ratio test and maximum a posterior to determine the transmitted power of the secondary users. Moreover, a data fusion scheme based on sensing node selection is designed to alleviate negative effects on the detection performance brought by the existence of the primary user. Furthermore, the test statistics are derived under different channel models. Finally, extensive simulations are provided to verify the proposed framework under various parameter configurations.

This paper investigates the detection of the transmitted power violation (TPV) in the satellite-terrestrial integrated network, where the terrestrial base station may break the spectrum policies so that severe damages are made to the satellite systems. Due to the lack of prior information on specific abnormal behaviors, this problem is complex and challenging. To tackle it, we first turn to the geolocation spectrum database based detecting framework, where not only the tasks of each segment but also the spectrum policies are specified. Then, the ternary hypothesis test and the generalized Neyman–Pearson (GMNP) test criterion are applied to maximize the detection probability under the false-alarm constraint. What is more, the Abnormal after Normal (AaN) detector is developed to simplify the analysis. Finally, simulations are conducted to demonstrate that the proposed detector can realize the detection of TPV in most cases at the expense of less than 10% detection probability.

Numerous studies and experiments are conducted to examine and describe the effects of the process of oxygen reactive ion etching (RIE) on the surface wettability of the aligned carbon nanotube (CNT) films with a particular pattern of alignment. The analysis reveals that the flow rate of oxygen during RIE can change the wettability of the films, which then affects the alignment and pattern of the tube that can be further used in assembling the microphores or quantum dots on the CNT films.

Abstract Mudstone characterized by typical structures and mineral assemblages in the Tamusu Mudstone pre-selected area, in Inner Mongolia, Northwest China, has been selected as a potential host rock for China’s high-level radioactive waste (HLW) repository purpose. Based on indications of petrological and geochemical characteristics, hydrothermal sedimentary geneses of host rock are well discussed from the perspectives of hydrothermal sedimentary structures, sedimentary environments, and the hydrothermal sedimentary model. The results show that host rocks have the characteristics of low-temperature "white smoke" hydrothermal sedimentary rocks. The rocks developed in a dry, anaerobic and reducing saline lake environment with transient oxidation and dry–wet evolution. The 100–120 Ma tectonic activity in the Altun fault may have been the main factor controlling the process of hydrothermal exhalative, which provided the migration pathway for water–rock reactions and contributed to the formation of typical structures and mineral assemblages. The hydrothermal sedimentary rock is a new kind of argillaceous rock that serves as a potential host rock, and will provide new insights into suitability evaluations of mudstone properties to promote the site screening of the Tamusu Mudstone pre-selected area for China’s HLW disposal purpose.

In order to improve the design effect of smart city public planning, this paper studies the design method of urban public planning under the constraint of public acceptability and designs the corresponding intelligent system. Moreover, from the perspective of the planning system and practical application, this paper is devoted to improve the performance of the planning system and expand the application field of planning technology. In addition, this paper analyzes and studies the preprocessing stage and the planning search stage of the planning system and applies its domain knowledge modeling to practical planning problems. The experimental research results show that intelligent public urban planning and design method proposed in this paper under the public acceptable constraints has a good effect.

Amomum tsaoko is a perennial herb belonging to Zingiberaceae. Its dried ripe fruit is an important food additive, spice and materia medicai in Southeast Asia. For hundreds of years of cultivation, morphological variations have existed. The essential oil is one of the major active products of the A. tsaoko fruit and seed. In this study, we collected 12 populations in Yunnan province, and the correlation analysis of compounds was focused on the essential oil of A. tsaoko seed and its fruit morphological characteristics, geographical conditions, and locality of growth. The results showed that the difference in morphological characteristics between populations is greater than the difference within the population. High altitude areas are beneficial for biomass accumulation. Another interesting finding is that selecting specific functional or odor type materials could reference the morphologies of A. tsaoko fruit and seed. Furthermore, the qualitative and quantitative analysis of compounds in essential oil could be used to distinguish the producing area of the A. tsaoko fruit. These results are crucial in realizing the determination of botanical origin and evaluating the quality of A. tsaoko fruit. Meanwhile, it makes clear that various other studies on this plant deserve more attention.