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Ling Gui Zhu Gan decoction (LGZGD) is a traditional Chinese medicine (TCM) prescription that is widely used in cardiovascular disease clinical prevention and treatment with high efficacy. Recent studies have shown that LGZGD can also be used in hyperlipidemia (HL) intervention, but its pharmacodynamic material basis and its mechanisms remains unclear. This study aimed to reveal the protective effects of LGZGD on HL, elucidate the pharmacodynamic material basis. The hamster HL model was established by high-fat diet. Thereafter, non-targeted metabolomics and quantitative lipidomics were established for screening differential metabolites and pathways. Finally, the mechanisms were elucidated based on network pharmacology to screen for shared targets, which were computational selected by molecular docking. After four weeks of LGZGD administration, the TC, TG, and liver index levels decreased notably and hepatocyte injury was obviously reduced. The Multi-omics identified 62 differential metabolites and 144 differential lipids, respectively. The network pharmacology study predicted 343, 85, and 974 relevant targets from LGZGD components, HL, differential metabolites and lipids, respectively. Eventually, seven core targets were selected by molecular docking. Six key components in LGZGD, including genistein and naringenin, could play a therapeutic role in HL by regulating seven pathways, including HMGCR and PPARA. This comprehensive strategy provides a promising example and approach for further research on TCM for the treatment of lipid metabolic diseases.

Yttrium aluminum garnet (YAG)-based optical fiber is one of the research hotspots in the field of fiber lasers due to its combined advantages of a wide doping range of rare earth ions and the high mechanical strength of YAG material, as well as the flexibility and small size of the fiber structure. YAG-based optical fibers and related laser devices can be used in communication, sensing, medicine, etc. A comprehensive review of YAG-based optical fibers is provided in this paper. Firstly, the fabrication processes of YAG-based optical fibers are summarized and the structure and properties of fibers are classified and compared. Secondly, according to the optical wavelength regions, rare earth-doped YAG-based optical fibers for the applications of single-frequency and mode-locked fiber lasers are summarized. Lastly, the development challenges in both the fabrication and applications of YAG-based optical fibers are discussed.

Carbon (C) additions to soil interact through chemical and microbiological processes to cause changes in soil phosphorus (P) availability. However, the response of soil P transformations and relevant microbial communities to C additions having different degrees of recalcitrance remains uncertain. We studied the effects of glucose, hemicellulose and lignin addition on soil P availability, P transformation processes and relevant microbial activity and communities in a P-deficient flooded soil. Lignin significantly increased soil available P concentrations, which was attributed to chemical release of inorganic P and increased alkaline phosphatase activity. Glucose and hemicellulose additions stimulated microbial metabolism of C thereby enhancing microbial demand for P, with increased soil P availability especially in the early incubation period. Glucose or hemicellulose addition changed soil microbial diversity and community composition, leading to enhanced growth and interactions of P solubilizing microorganisms such as Desulfitobacterium, Bacillus and Desulfosporosinus. Our results infer the importance of pH alteration and competitive sorption between PO4 and functional groups of recalcitrant C (e.g., lignin) with Fe/Al (hydr) oxides in regulating soil P availability. Further, the microbial response to labile C additions led to increased P availability in the P-deficient soil. This study provides important mechanistic information to guide microbially-regulated soil P management in agricultural ecosystems.

【Objective】 The objective of this study is to investigate the water and salt movement during freeze-thaw period under partial autumn watering conditions in the Hetao Irrigation District. Specifically, the study focuses on comparing the water and salt dynamics between autumn irrigated farmland and non-autumn irrigated farmland (spring irrigated the following year). 【Method】 Field sampling observations and laboratory experiments were conducted to analyze the variations in soil temperature, soil moisture, and soil salinity during the freeze-thaw period under autumn watering and non-autumn watering conditions. 【Result】 After partial autumn irrigation, the temperature gradually decreased from the surface to the deeper layers in autumn irrigated farmland, while it decreased gradually in spring irrigated farmland. During the freezing process, the soil temperature in the 0~60 cm layer of autumn irrigated farmland dropped below 0 ℃ 30 days earlier than in spring irrigated farmland. In the melting process, the temperature in the 0~60 cm layer of autumn irrigated farmland rose above 0 ℃ 10 days later than in spring irrigated farmland. The desalination of the 0~100 cm soil layer in autumn irrigated farmland occurred mainly after autumn watering and during the freezing period, resulting in a desalting percentage of 47.38%. However, spring irrigated fields experienced salt accumulation of 35.68% and 16.87% during the freezing and melting stages, respectively. Throughout the freeze-thaw period, the net salt flux in each layer of both autumn irrigated and spring irrigated fields was negative, but it increased with soil depth. However, in spring irrigated farmland, the net salt flux initially increased and then decreased with increasing soil depth. 【Conclusion】 The water and salt migration patterns during the freeze-thaw period were influenced by the water level differences between autumn irrigated and spring irrigated fields. The time difference between the freezing and melting processes led to salt accumulation in spring irrigated fields before the next year’s spring irrigation. These findings provide valuable insights into the water and salt migration dynamics in irrigated and non-irrigated farmland, as well as the optimal development of autumn irrigation and spring irrigation practices under local autumn watering conditions.

Inadequate information sharing and difficult information diffusion are the main factors that cause upstream and downstream enterprises to default on supply chain finance. Blockchain technology, which exploits distributed storage and a consensus mechanism, can provide effective solutions to overcome these problems such as information sharing. When blockchain technology is adopted by the enterprises that comprise the supply chain finance business, this technology shows a diffusion trend. As a result, the decision pertaining to the application of novel technologies is affected. Therefore, to investigate the diffusion mechanism pertaining to the blockchain technology that is applied in supply chain finance, the study exploited the idea of a class of SEIR infectious disease models, and built a blockchain model that considers the supply chain financial system. Besides, the study verifies the stability of the model by constructing a Lyapunov function. The results indicate that the basic reproduction number determines the proliferation of the blockchain technology. When the basic reproduction number is less than 1, the proliferation of the blockchain technology that is applied in supply chain finance system would terminate. By contrast, when the basic reproduction number is greater than 1, during the average infection period, the number of non-adopting enterprises that accept the blockchain technology becomes greater than 1, which can maintain a continuous impact on supply chain finance system. Over time, the number of enterprises that accept blockchain technology tends to be stable. Through numerical simulations that consider the influencing parameters pertaining to the basic regeneration number, which has important effect on blockchain technology diffusion, we enlarge the diffusion efficiency and increase the transfer rate of potential on-chain enterprises or decrease the default exit rate. As a result, we facilitate the diffusion of blockchain technology in the system.

The mineralization of octacalcium phosphate (OCP) crystals in gel media was studied in the presence of a magnetic field. OCP crystal growth was found to be dependent on mineralization temperature, mineralization time, and the magnetic field. Higher temperatures significantly reduced the mineralization time, which is crucial for directional growth of OCP crystals. The growth of OCP crystals was accelerated by the applied magnetic field, while OCP crystals generated in the presence of a magnetic field exhibited increased length and width of oriented growth. This study provides valuable insights into the influence of mineralization factors in bioprocessing-inspired manufacturing processes.

Optical temperature sensors, which can accurately detect temperature in biological systems, are crucial to the development of healthcare monitoring. To challenge the state-of-art technology, it is necessary to design single luminescence center doped materials with multi-wavelength emission for optical temperature sensors with more modes and higher resolution. Here, an Er3+ single-doped KYF4 nanocrystals glass ceramic with an obvious thermochromic phenomenon is reported for the first time, which shows a different temperature-dependent green, red, and near-infrared luminescence behavior based on thermal disturbance model. In addition, Er3+ single-doped GC fiber was drawn and fabricated into multi-mode optical fiber temperature sensor, which has superior measured temperature resolution (＜0.5 ​°C), excellent detection limit (0.077 ​°C), and high correlation coefficient (R2) of 0.99997. More importantly, this sensor can monitor temperature in different scenarios with great environmental interference resistance and repeatability. These results indicate that our sensor shows great promise as a technology for environmental and healthcare monitoring, and it provides a route for the design of optical fiber temperature sensors with multi-mode and high resolution.

Cyanotis arachnoidea C. B. Clarke is a traditional Chinese medicinal herb that has a limited clinical use in the treatment of diabetes mellitus (DM) in minority areas of Guizhou in China. However, few prior reports are available on the quality control of Cyanotis arachnoidea, and its quality markers and hypoglycemic mechanism are still unclear. The purpose of this study is to explore the quality markers (Q-markers) of Cyanotis arachnoidea and predict its hypoglycemic mechanism. In this study, ultra-high-performance liquid chromatography (UHPLC) fingerprint combined with chemical pattern recognition were performed, and four differential components were screened out as quality markers, including 20-Hydroxyecdysone, 3-O-acetyl-20-hydroxyecdysone, Ajugasterone C, and 2-O-acetyl-20-hydroxyecdysone. Network pharmacology analysis revealed 107 therapeutic target genes of Cyanotis arachnoidea in DM treatment, and the key targets were Akt1, TNF, IL-6, MAPK3, and JUN. The hypoglycemic mode of action of Cyanotis arachnoidea may be mediated by tumor necrosis factor (TNF) signaling, cancer, insulin resistance, and JAK-STAT pathways. Molecular docking analysis disclosed that the foregoing quality markers effectively bound their key target genes. An in vitro experiment conducted on pancreatic islet β-cells indicated that the forenamed active components of Cyanotis arachnoidea had hypoglycemic efficacy by promoting PI3K/Akt and inhibiting MAPK signaling. UHPLC also accurately quantified the quality markers. The identification and analysis of quality markers for Cyanotis arachnoidea is expected to provide references for the establishment of a quality control evaluation system and clarify the material basis and hypoglycemic mechanisms of this traditional Chinese medicine (TCM).