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Abstract This work explores the extraction of the spatial distribution and chemical composition information of pigments in colored relics through visible spectral images. An adaptive superpixel segmentation method is proposed to extract the spatial distribution information of pigments. Quadtree decomposition is applied to generate nonuniform initial seed points based on the image homogeneity. These seed points are used as the initial cluster centers in an extended simple linear iterative clustering (SLIC) algorithm for visible spectral images to create superpixels of varying sizes that reflect the homogeneity. Each superpixel is subsequently treated as an individual area in the colored relics, and a pigment identification method based on the visible spectral reflectance is proposed to identify the pigments in these areas. A standard reference database is constructed using samples that simulate the painting process of ancient wall paintings in the Mogao Grottoes. Geometric features, which are characterized by the linear combination of the normalized visible spectral reflectance, its slope and its curvature, are designed to represent the chemical composition of pigments. The geometric features of the superpixels are compared with those of the pigments in the database using the Euclidean distance to determine the pigments in each area of the colored relics. This work is expected to provide scientific guidance for pigment selection in the color restoration of colored relics.

Abstract Nonreciprocal quantum transport effect is mainly governed by the symmetry breaking of the material systems and is gaining extensive attention in condensed matter physics. Realizing electrical switching of the polarity of the nonreciprocal transport without external magnetic field is essential to the development of nonreciprocal quantum devices. However, electrical switching of superconducting nonreciprocity remains yet to be achieved. Here, we report the observation of field-free electrical switching of nonreciprocal Ising superconductivity in Fe3GeTe2/NbSe2 van der Waals (vdW) heterostructure. By taking advantage of this electrically switchable superconducting nonreciprocity, we demonstrate a proof-of-concept nonreciprocal quantum neuronal transistor, which allows for implementing the XOR logic gate and faithfully emulating biological functionality of a cortical neuron in the brain. Our work provides a promising pathway to realize field-free and electrically switchable nonreciprocity of quantum transport and demonstrate its potential in exploring neuromorphic quantum devices with both functionality and performance beyond the traditional devices.

The C6orf120 gene is a novel gene whose function has not been fully defined. Previous studies have associated it with various liver pathologies, but its specific role in hepatocellular carcinoma (LIHC) remains unclear. This study aimed to investigate the diagnostic and prognostic value of C6orf120 in LIHC, as well as its potential biological functions. In this preliminary research, we utilized data from various databases and bioinformatics tools, including TCGA, GEO, TIMER2, HPA, GEPIA, Linkeomics, Metascape, CIBERSORT, TargetScan, DIANA-microT, RNAinter, and ENCORI, to analyze the expression patterns and mechanisms of C6orf120 in LIHC. Our bioinformatics analysis revealed that C6orf120 is upregulated in LIHC and may serve as a diagnostic and prognostic biomarker. The aberrant expression of C6orf120 in LIHC was further supported by clinical samples and cell lines. In vitro experiments demonstrated that the knockdown of C6orf120 in HepG2 cells significantly reduced migration capacity without affecting proliferation. Additionally, the downregulation of C6orf120 in LIHC cells appeared to inhibit endothelial cell migration and angiogenesis, which are critical in tumorigenesis and development. In conclusion, our findings suggest that C6orf120 could serve as a novel diagnostic and prognostic biomarker for LIHC and is expected to be a prognostic marker and a potential therapeutic target in the clinical management of LIHC.

Material and structure made by additive manufacturing (AM) have received much attention lately due to their flexibility and ability to customize complex structures. This study first implements multiple objective topology optimization simulations based on a projectile perforation model, and a new topologic projectile is obtained. Then two types of 316L stainless steel projectiles (the solid and the topology) are printed in a selective laser melt (SLM) machine to evaluate the penetration performance of the projectiles by the ballistic test. The experiment results show that the dimensionless specific kinetic energy value of topologic projectiles is higher than that of solid projectiles, indicating the better penetration ability of the topologic projectiles. Finally, microscopic studies (scanning electron microscope and X-ray micro-CT) are performed on the remaining projectiles to investigate the failure mechanism of the internal structure of the topologic projectiles. An explicit dynamics simulation was also performed, and the failure locations of the residual topologic projectiles were in good agreement with the experimental results, which can better guide the design of new projectiles combining AM and topology optimization in the future.

Abstract This paper focuses on the long time behavior of the solutions to the Cauchy problem of the three-dimensional compressible magneto-micropolar fluids. More precisely, we aim to establish the optimal rates of temporal decay for the highest-order spatial derivatives of the global strong solutions by the method of decomposing frequency. Our result can be regarded as the further investigation of the one in (Wei, Guo and Li in J. Differ. Equ. 263:2457–2480, 2017), in which the authors only provided the optimal rates of temporal decay for the lower-order spatial derivatives of the perturbations of both the velocity and the micro-rotational velocity.

Summary: Embryos, originating from fertilized eggs, undergo continuous cell division and differentiation, accompanied by dramatic changes in transcription, translation, and metabolism. Chromatin regulators, including transcription factors (TFs), play indispensable roles in regulating these processes. Recently, the trophoblast regulator TFAP2C was identified as crucial in initiating early cell fate decisions. However, Tfap2c transcripts persist in both the inner cell mass and trophectoderm of blastocysts, prompting inquiry into Tfap2c’s function in post-lineage establishment. In this study, we delineate the dynamics of TFAP2C during the mouse peri-implantation stage and elucidate its collaboration with the key lineage regulators CDX2 and NANOG. Importantly, we propose that de novo formation of H3K9me3 in the extraembryonic ectoderm during implantation antagonizes TFAP2C binding to crucial developmental genes, thereby maintaining its lineage identity. Together, these results highlight the plasticity of the chromatin environment in designating the genomic binding of highly adaptable lineage-specific TFs and regulating embryonic cell fates.

BackgroundLow-intensity pulsed ultrasound (LIPUS) can accelerate tooth movement and preserve tooth and bone integrity during orthodontic treatment. However, the mechanisms by which LIPUS affects tissue remodeling during orthodontic tooth movement (OTM) remain unclear. Periodontal ligament cells (PDLCs) are pivotal in maintaining periodontal tissue equilibrium when subjected to mechanical stimuli. One notable mechano-sensitive ion channel, Piezo1, can modulate cellular function in response to mechanical cues. This study aimed to elucidate the involvement of Piezo1 in the osteogenic response of force-treated PDLCs when stimulated by LIPUS.MethodAfter establishing rat OTM models, LIPUS was used to stimulate rats locally. OTM distance and alveolar bone density were assessed using micro-computed tomography, and histological analyses included hematoxylin and eosin staining, tartrate-resistant acid phosphatase staining and immunohistochemical staining. GsMTx4 and Yoda1 were respectively utilized for Piezo1 functional inhibition and activation experiments in rats. We isolated human PDLCs (hPDLCs) in vitro and evaluated the effects of LIPUS on the osteogenic differentiation of force-treated hPDLCs using real-time quantitative PCR, Western blot, alkaline phosphatase and alizarin red staining. Small interfering RNA and Yoda1 were employed to validate the role of Piezo1 in this process.ResultsLIPUS promoted osteoclast differentiation and accelerated OTM in rats. Furthermore, LIPUS alleviated alveolar bone resorption under pressure and enhanced osteogenesis of force-treated PDLCs both in vivo and in vitro by downregulating Piezo1 expression. Subsequent administration of GsMTx4 in rats and siPIEZO1 transfection in hPDLCs attenuated the inhibitory effect on osteogenic differentiation under pressure, whereas LIPUS efficacy was partially mitigated. Yoda1 treatment inhibited osteogenic differentiation of hPDLCs, resulting in reduced expression of Collagen Ⅰα1 and osteocalcin in the periodontal ligament. However, LIPUS administration was able to counteract these effects.ConclusionThis research unveils that LIPUS promotes the osteogenesis of force-treated PDLCs via downregulating Piezo1.

Abstract To improve the CO2 tolerance of a marine microalga Chlorella sp. of which the production capacity has been demonstrated industrially, a mutant library was created and a strain hct53 was screened. Compared to the parental strain, hct53 shows a high CO2 capture capacity, while starch biosynthesis is compromised, with increases in health beneficial metabolites and antioxidant capacity. Global gene expression and genome-wide mutation distribution revealed that transcript choreography was concomitant with more active CO2 sequestration, an increase in the lipid synthesis, and a decrease in the starch and protein synthesis. These results suggest that artificial trait improvement via mutagenesis, couple with multiomics analysis, helps discover genetic switches that induce the bespoke conversion of carbon flow from “redundant metabolites” to valuable ones for functional food.

With the rapid development and application of renewable energy, the advantages of DC distribution system are becoming more and more obvious. In the DC distribution system, the DC transformer is a component that connects different voltage DC bus and realizes the connection between DC bus and the renewable energy. Its efficiency and dynamic performance are of great significance. Among them, DAB has been widely studied. In DAB, the current stress is related to the conduction loss of switches. Therefore, this paper first studies the basic principle and basic electrical characteristics under DPS control, and uses the KKT condition to solve the optimization problem with the goal of optimizing the current stress. In order to improve the dynamic performance, this paper proposes power compensation control considering the difference between the theoretical calculation and the actual transmission power. Finally, the simulation is built in PLECS. By comparing SPS control and the optimized control in this paper, it is proved that the optimized control in this paper can reduce the current stress and reduce the loss under the same transmission power. Compared with the traditional PI control, the power compensation control can improve the start-up time and reduce the output voltage variation and recovery time when the load suddenly changes.

Tillering/branching pattern plays a significant role in determining the structure and diversity of grass, and trimming has been found to induce tillering in turfgrass. Recently, it has been reported that hydrogen peroxide (H2O2) regulates axillary bud development. However, the role of H2O2 in trimming-induced tillering in bermudagrass, a kind of turfgrass, remains unclear. Our study unveils the significant impact of trimming on promoting the sprouting and growth of tiller buds in stolon nodes, along with an increase in the number of tillers in the main stem. This effect is accompanied by spatial-temporal changes in cytokinin and sucrose content, as well as relevant gene expression in axillary buds. In addition, the partial trimming of new-born tillers results in an increase in sucrose and starch reserves in their leaves, which can be attributed to the enhanced photosynthesis capacity. Importantly, trimming promotes a rapid H2O2 burst in the leaves of new-born tillers and axillary stolon buds. Furthermore, exogenous application of H2O2 significantly increases the number of tillers after trimming by affecting the expression of cytokinin-related genes, bolstering photosynthesis potential, energy reserves and antioxidant enzyme activity. Taken together, these results indicate that both endogenous production and exogenous addition of H2O2 enhance the inductive effects of trimming on the tillering process in bermudagrass, thus helping boost energy supply and maintain the redox state in newly formed tillers.

ObjectiveHuman identical sequences of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) promoted the coronavirus disease 2019 (COVID-19) progression by upregulating hyaluronic acid (HA) via NamiRNA-enhancer network, based on previous experimental research. This study aimed to investigate the predictive value of HA for the severity of SARS-CoV-2 infection in the post-COVID-19 era.MethodsA total of 217 consecutive patients with COVID-19 were enrolled at Beijing Ditan Hospital between July 2023 and October 2023. HA levels were analyzed using biochemical detector. Logistic regression analysis was used to screen independent factors for severe COVID-19. The predictive performance of HA for severe infection was assessed by ROC curve. Furthermore, the relationship between HA levels and COVID-19 severity was investigated using multivariate logistic regression models after adjustment for potential confounders.ResultsAccording to the cut-off value of HA, COVID-19 patients were divided into HA < 90 ng/mL group (80 cases) and HA ≥ 90 ng/mL group (137 cases). High HA levels were positively associated with the severe SARS-CoV-2 infection, including elevated inflammatory indicators, severe lung involvement, prolonged clinical course, and higher incidence of respiratory failure and death (P < 0.05). Logistic regression analysis suggested that HA was an independent predictor of severe COVID-19 (OR = 4.540, 95% CI = 2.105-9.790, P < 0.001). ROC curve analysis showed that the AUC of HA for severe infection was 0.724. HA levels were significantly higher in COVID-19 cases compared to the healthy population (123.9 (82.6, 174.1) vs. 50.5 (37.8, 66.8), P < 0.001), but similar to those with non-SARS-CoV-2 lung infection (121.6 (78.5, 175.6) vs. 106.0 (66.5, 149.7), P = 0.244). We also found that the first COVID-19 infections had higher HA levels (118.8 (79.5, 174.3) vs. 85.0 (61.1, 128.8), P < 0.001) and a higher proportion of severe infection (37.1% vs. 21.3%, P = 0.043) than re-infections. However, HA expression failed to fully return to normal levels with infection recovery (204.7 (152.9, 242.2) vs. 97.0 (69.3, 137.3), P < 0.001).ConclusionHA was associated with severe SARS-CoV-2 infection and could be used as a novel serum biomarker to predict the risk of COVID-19 progression in the post-COVID-19 era.

Terpenoids of substantial industrial interest are mainly obtained through direct extraction from plant sources. Recently, microbial cell factories or in vitro enzymatic biosystems have emerged as promising alternatives for terpenoid production. Here, we report a route for the synthesis of α-farnesene based on an in vitro enzyme cascade reaction using methanol as an inexpensive and renewable C1 substrate. Thirteen biocatalytic reactions divided into 2 modules were optimized and coupled to achieve methanol-to-α-farnesene conversion via integration with natural thylakoid membranes as a green energy engine. This in vitro enzymatic biosystem driven by light enabled the production of 1.43 and 2.40 mg liter−1 α-farnesene using methanol and the intermediate glycolaldehyde as substrates, respectively. This work could provide a promising strategy for developing light-powered in vitro biosynthetic platforms to produce more natural compounds synthesized from C1 substrates.

ABSTRACTCold spray is a rapidly developing solid-state deposition technology in recent years. It has the characteristics of low spraying temperature and high velocity of spraying particles, hence showing a good prospect for preparing metal matrix composite (MMC) coatings and bulk materials. In particular, aluminum matrix composites have received great attention in electronics, aerospace and automobile industries due to their excellent physical and mechanical properties. In this paper, the research progress of cold-sprayed aluminum matrix composite coatings and materials was systematically introduced. Firstly, state of the art on cold sprayed coatings and materials with different reinforcing phases was presented. Then, research progress on different post-spray treatments, to improve the properties of as-sprayed deposit, was briefly discussed. Finally, the application fields and problems of cold-sprayed aluminum matrix composite coatings and materials were summarized.

Automatic navigation based on dual-antenna real-time kinematic (RTK) positioning has been widely employed for unmanned agricultural machinery, whereas GNSS inevitably suffers from signal blocking and electromagnetic interference. In order to improve the reliability of an RTK-based navigation system in a GNSS-challenged environment, an integrated navigation system is preferred for autonomous navigation, which increases the complexity and cost of the navigation system. The information fusion of integrated navigation has been dominated by Kalman filter (KF) for several decades, but the KF cannot assimilate the known knowledge of the navigation context efficiently. In this paper, the geometric characteristics of the straight path and path-tracking error were employed to formulate the constraint measurement model, which suppresses the position error in the case of RTK-degraded scenarios. The pseudo-measurements were then imported into the KF framework, and the smoothed navigation state was generated as a byproduct, which improves the reliability of the RTK positioning without external sensors. The experiment result of the mobile vehicle automatic navigation indicates that the tracking error-constrained KF (EC-KF) outperforms the trajectory-constrained KF (TC-KF) and KF when the RTK system outputs a float or single-point position (SPP) solution. In the case where the duration of the SPP solution was 20 s, the positioning errors of the EC-KF and TC-KF were reduced by 38.50% and 24.04%, respectively, compared with those of the KF.

Telematics will be one of the critical technologies in the future intelligent transportation system and establish communication between vehicles and vehicles, vehicles and networks, and vehicles and people. Thus, vehicles can sense mobile environments and make rational driving decisions. Therefore, the safety and efficiency of traffic flow would be enhanced. However, due to the unknown nature and higher complexity of the connected network environments of vehicles, the utilization of conventional optimization theory fails to generate satisfying results. To address the problem, this article proposes a methodology for collaborative transmission for communication regarding the Internet of Vehicles (IoV) with the help of advanced computational algorithms. The article employs a multi-intelligence advanced computational algorithm to construct a collaborative communication transmission mechanism in the telematics communication system model. The proposed algorithm fully considers the vehicle mobility and quality-of-service (QoS) of telematics services within the network slice. It adjusts the slice’s radio resource allocation and parameter settings on an expanded time scale to improve the QoS of telematics services and increase the system’s long-term revenue. The simulation results show that the proposed algorithm has a more significant performance improvement than conventional algorithms using telematics information transmission. For example, when the same load conditions are under consideration, the total capacity of the vehicle-to-infrastructure (V2I) link optimized by the proposed algorithm is still higher than that of the other three baseline strategies.

The application of Internet of Vehicles technology has led to an increase in the demand for vehicle scheduling, but the available computational resources and spectrum in current wireless networks are limited and scarce. Therefore, in order to improve the efficiency of vehicle scheduling, a cognitive spectrum scheduling method based on Deep Neural Network and Monte Carlo Tree Search for vehicle networking has been proposed. It evaluates the priority of MCTS and provides spectrum resource scheduling solutions, and uses DNN for offline training to obtain an environment model. In the simulation experiment for this method, the CUR of the proposed method increased by a maximum of 19.3% compared to other methods used for comparison. Its ALC is 20.4% higher than other methods. Its convergence time is lower than all methods used for comparison, with a maximum difference of 59.3%. The mean MAE of the proposed method is 0.793, and the mean RMSE is 0.628. The results of MAE and RMSE demonstrate that the proposed method in the experiment exhibits the lowest errors, both in training and testing processes. The proposed method provides a certain technical foundation for the cognitive spectrum scheduling of the Internet of Vehicles.

Because of its excellent stress resistance and forage quality, the forage bermudagrass hybrid population had attracted the attention of scientific researchers in recent years. Studying its diversity could promote the breeding of desirable varieties. The variability in agronomic traits including fresh weight, dry weight, ash content, crude protein content, crude fat, phosphorus content, and relative feed value for 56 bermudagrass was investigated using Wrangler as an experimental reference. Grey correlation analysis and cluster analysis were employed to screen bermudagrass with high yield and superior quality. WCF-34 had the highest 2-year fresh weight (109,773.3 kg/ha), WCF-37 had the highest 2-year dry weight (31,951.6 kg/ha), WCF-24 had the lowest Ash content (7.46%), WCF-26 had the highest crude protein content (16.27%), WCF-27 had the highest curde fat content (3.58%), WCF-13 had the highest P content (0.45%), and WCF-42 had the highest relative feed value (95.32). Combining the results of grey relational analysis and cluster analysis, WCF-42, WCF-34, WCF-38, WCF-37, and WCF-40 were selected as high-quality bermudagrass. Through comprehensive analysis of the agronomic characters of bermudagrass, five bermudagrass were selected, the outcomes of this study would provide a theoretical basis for the breeding and genetic enhancement of bermudagrass.

High-frequency traveling-wave magnetic fields refer to alternating magnetic fields that propagate through space in a wave-like manner at high frequencies. These magnetic fields are characterized by their ability to generate driving forces and induce currents in conductive materials, such as liquids or metals. This article investigates the application and approaches of a unique form of high-frequency traveling-wave magnetic fields to low-conductivity liquids with conductivity ranging from 1 to 102 S/m. Experiments were conducted using four representative electrolytic solutions commonly employed in the chemical industry: sulfuric acid (H2SO4), sodium hydroxide (NaOH), sodium chloride (NaCl), and ionic liquid ([Bmim]BF4). The investigation focuses on the impact of high-frequency magnetic fields on these solutions at the optimal operating point of the system, considering the effects of Joule heating. The findings reveal that the high-frequency traveling magnetic field exerts a significant volumetric force on all four low-conductivity liquids. This technology, characterized by its non-contact and pollution-free nature, high efficiency, large driving volume, and rapid driving speeds (up to several centimeters per second), also provides uniform velocity distribution and notable thermal effects. It holds considerable promise for applications in the chemical industry, metallurgy, and other sectors where enhanced three-phase transfer processes are essential.

ObjectiveUrsodeoxycholic acid (UDCA) may reduce susceptibility to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection by downregulating angiotensin-converting enzyme 2 (ACE2), based on recent experimental investigation. This study aimed to determine the potential protective effect of UDCA against SARS-CoV-2 infection in patients with chronic liver disease.MethodsPatients with chronic liver disease receiving UDCA (taking UDCA ≥1 month) at Beijing Ditan Hospital between January 2022 and December 2022 were consecutively enrolled. These patients were matched in a 1:1 ratio to those with liver disease not receiving UDCA during the same period by using a propensity score matching analysis with nearest neighbor matching algorithm. We conducted a phone survey of coronavirus disease 2019 (COVID-19) infection during the early phase of the pandemic liberation (from 15 December 2022 to 15 January 2023). The risk of COVID-19 was compared in two matched cohorts of 225 UDCA users and 225 non-UDCA users based on patient self-report.ResultsIn the adjusted analysis, the control group was superior to the UDCA group in COVID-19 vaccination rates and liver function indicators, including γ-glutamyl transpeptidase and alkaline phosphatase (p < 0.05). UDCA was associated with a lower incidence of SARS-CoV-2 infection (UDCA 85.3% vs. control 94.2%, p = 0.002), more mild cases (80.0% vs. 72.0%, p = 0.047), and shorter median time from infection to recovery (5 vs. 7 days, p < 0.001). Logistic regression analysis showed that UDCA was a significant protective factor against COVID-19 infection (OR: 0.32, 95%CI: 0.16–0.64, p = 0.001). Furthermore, diabetes mellitus (OR: 2.48, 95%CI: 1.11–5.54, p = 0.027) and moderate/severe infection (OR: 8.94, 95%CI: 1.07–74.61, p = 0.043) were more likely to prolong the time from infection to recovery.ConclusionUDCA therapy may be beneficial in reducing COVID-19 infection risk, alleviating symptoms, and shortening the recovery time in patients with chronic liver disease. However, it should be emphasized that the conclusions were based on patient self-report rather than classical COVID-19 detection by experimental investigations. Further large clinical and experimental studies are needed to validate these findings.

IntroductionPotassium and phosphorus are essential macronutrients for plant growth and development. However, most P and K exist in insoluble forms, which are difficult for plants to directly absorb and utilize, thereby resulting in growth retardation of plants under P or K deficiency stress. The Aspergillus aculeatus fungus has growth-promoting characteristics and the ability to dissolve P and K.MethodsHere, to investigate the physiological effects of A. aculeatus on bermudagrass under P or K deficiency, A. aculeatus and bermudagrass were used as experimental materials.Results and discussionThe results showed that A. aculeatus could promote tolerance to P or K deficiency stress in bermudagrass, decrease the rate of leaf death, and increase the contents of crude fat as well as crude protein. In addition, A. aculeatus significantly enhanced the chlorophyll a+b and carotenoid contents. Moreover, under P or K deficiency stress, bermudagrass inoculated with A. aculeatus showed higher N, P, and K contents than non-inoculated plants. Furthermore, exogenous A. aculeatus markedly decreased the H2O2 level and CAT and POD activities. Based on our results, A. aculeatus could effectively improve the forage quality of bermudagrass and alleviate the negative effects of P or K deficiency stress, thereby playing a positive economic role in the forage industry.

Takin (Budorcas tibetanus) is an endangered ungulate listed as a first-class national protected animal in China. Investigating the spatio-temporal variations in Takin habitats is necessary for its scientific and efficient conservation and management. Using Takin occurrence points obtained during the third (1999–2001) and fourth national survey (2011–2014) for the giant panda (Ailuropoda melanoleuca), the spatio-temporal variations in Takin habitats and the driving factors in the five mountains of Sichuan province (Minshan, Qionglai, Daxiangling, Xiaoxiangling and Liangshan) were analysed. During the past decade, the enhancement of human activity resulted in a reduction of the Takin's habitat from 29925 km2 to 24400 km2 in the study area, with indices reflecting the continuity and aggregation of Takin habitats increased. During the fourth survey, the Takin habitats were primarily distributed in the Qionglai and Minshan Mountains, accounting for 47% and 35% of the total Takin habitat. In contrast, Liangshan Mountains have the least habitat area, with a percentage of only 0.1% (25 km2), which was too small to ensure a sustainable Takin population. Human activities, combined with the percentage of Broadleaf forests, play an essential role in determining the distribution of Takins. The differentiation of Takin habitats within the five Sichuan mountains highlights the importance of analyzing spatio-temporal dynamics of distribution patterns of target species for guiding conservation and management strategies.

Non-small-cell lung cancer (NSCLC) is the main cause of cancer-related deaths worldwide, with a low five-year survival rate, posing a serious threat to human health. In recent years, the delivery of antitumor drugs using a nanostructured lipid carrier (NLC) has become a subject of research. This study aimed to develop an apigenin (AP)-loaded nanostructured lipid carrier (AP-NLC) by melt sonication using glyceryl monostearate (GMS), glyceryl triacetate, and poloxamer 188. The optimal prescription of AP-NLC was screened by central composite design response surface methodology (CCD-RSM) based on a single-factor experiment using encapsulation efficiency (EE%) and drug loading (DL%) as response values and then evaluated for its antitumor effects on NCI-H1299 cells. A series of characterization analyses of AP-NLC prepared according to the optimal prescription were carried out using transmission electron microscopy (TEM), differential scanning calorimetry (DSC), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FT-IR). Subsequent screening of the lyophilization protectants revealed that mannitol could better maintain the lyophilization effect. The in vitro hemolysis assay of this formulation indicated that it may be safe for intravenous injection. Moreover, AP-NLC presented a greater ability to inhibit the proliferation, migration, and invasion of NCI-H1299 cells compared to AP. Our results suggest that AP-NLC is a safe and effective nano-delivery vehicle that may have beneficial potential in the treatment of NSCLC.

Current knowledge regarding the long-term humoral response of people infected with human immunodeficiency virus to the third dose of inactivated coronavirus disease (COVID-19) vaccine is incomplete. As a result, concerns remain about the safety and efficacy of the vaccination. To improve our understanding of the safety and immunogenicity of the COVID-19 inactivated vaccine booster in people living with HIV (PLWH), a prospective study was conducted on participants who had not yet received a third dose of the COVID-19 inactivated vaccine, had no history of SARS-CoV-2 infection, and had received a second dose of the vaccine more than six months prior. The primary safety outcomes included the incidence of adverse reactions, changes in CD4+ T-cell count, viral load, blood routine examination, liver and kidney function examination, blood sugar, and blood lipid examination. The pseudovirus-neutralizing antibody responses to the D614G variant, Delta variant, and Omicron variants BA.5 and BF.7 were evaluated before vaccination, 14 days, 28 days, 3 months, and 6 months after vaccination to evaluate the immune response of PLWH to the injection of inactivated vaccine booster and the safety of the vaccine. In conclusion, COVID-19 vaccine booster shots were effective in PLWH, resulting in an increase in the number of CD4+ T-cells, neutralizing antibodies that lasted up to six months, and higher levels of neutralizing antibodies lasting approximately 3 months. However, the vaccine protection against the two variants of BA.5 and BF.7 was significantly lower than that of D614G and Delta.

The corrosion performance of P91, 304SS and IN625 alloys was evaluated in simulated Solar Salt at 565 °C for up to 15 days. Results revealed that IN625 exhibited the best corrosion resistance with the evolution of thin and compact dual-structured oxide scales. 304SS experienced a great corrosion rate at the initial stage, but showed protective behavior in the later period. A linear mass gain rate was observed for P91, which may result in breakaway corrosion during prolonged immersion time. Finally, the underlying corrosion mechanisms were revealed, providing important guidelines for selecting applicable materials for corrosion mitigation in thermal energy storage (TES) system.

Innovation training in engineering is an important facet of technical education in universities across China. Robotics training is a new course that has been developed using an informatization-based engineering training system at the Engineering Innovation Practice Center of the Harbin Institute of Technology. In this study, we propose a pedagogical method that combines virtual and on-site modes of teaching. Feedback obtained from students enrolled in the course showed a positive response to it. They claimed that they gained valuable knowledge from it that enabled them to carry out the relevant tasks in a better manner and more quickly. The feasibility of the proposed scheme was verified by a virtual simulation.

Background: We investigate the effects of NFκB inhibitor pyrrolidinedithiocarbamic acid ammonium salt (PDTC) on the viability, apoptosis and cell phenotype of HK-2 cells in the co-culture system of myeloma cells in renal tubular epithelial cells. Methods: This study was performed in Qiqihar Medical University, Qiqihar, China from Jun 2018 to Jan 2019. RPMI-8226 cells and HK-2 cells were inoculated in the co-culture chamber and cultured to establish the co-culture system. An immunoturbidimetric assay was performed to detect κ light chain and λ light chain in RPMI-8226 cells. The effect of PDTC on the secretion of κ light chain and λ light chain of RPMI-8226 cells was detected by immunoturbidimetry and the ratio was calculated. Results: PDTC significantly increased the viability of HK-2 cells. PDTC reduced the apoptosis of renal tubular epithelial cells. After PDTC treatment, the expression of cell surface marker E-cadherin decreased, and the expression of α-SMA increased, which induced the renal interstitial fibrosis. The secretion of κ light chain and λ light chain of RPMI-8226 cells was significantly decreased after the addition of PDTC, but the ratio was not changed. Conclusion: PDTC can inhibit the cell activity, promote apoptosis, and reduce the secretion of secretion of κ light chain and λ light chain through inhibiting the NF-κB pathway activation of myeloma cell RPMI-8226.

Abstract Background Increasing evidence demonstrate that the gut microbiota is involved in the pathogenesis of liver diseases, and faecal microbiota transplantation is considered to be a promising new treatment option. However, there are no reports on the intestinal flora of asymptomatic HBV carriers using next-generation sequencing. This study intends to investigate the potential role of the intestinal microflora in predicting the progression of Hepatitis B patients in different non-cancerous stages. Results A total of 266 patients with different stages of Hepatitis B and 31 healthy controls were included in this study. Some of the subjects (217 cases) underwent 16S rRNA gene sequencing. Compared with the control group (CK), the α diversity of patients in Group A (HBV carrier) slightly increased, while that of patients in the other three groups decreased. Each group of patients, especially those in Group C (cirrhosis) and Group D (acute-on-chronic liver failure), could be separated from the CK using weighted UniFrac PCoA and ANOSIM. LEfSe revealed that 40 taxa belonging to three phyla had an LDA larger than 4. In addition to the comparison between Group B (chronic Hepatitis B) and Group C, the specific flora and potential taxonomic function were also identified. Different microbial communities were found to be highly correlated with clinical indicators and the Child-Pugh scores. Changes in the microbial community were highly related to the alternations of host metabolism, which in turn, was related to the development of Hepatitis B. Our analysis identified a total of 47 strains with potential biomarker functions at all levels except for the phylum level. Conclusions Faecal microbiota transplantation of some potential beneficial bacteria can change with the occurrence of disease, and HBV carriers might be the most suitable donors.

With the proliferation of the Internet of Things (IoT), various services are emerging with totally different features and requirements, which cannot be supported by the current fifth generation of mobile cellular networks (5G). The future sixth generation of mobile cellular networks (6G) is expected to have the capability to support new and unknown services with changing requirements. Hence, in addition to enhancing its capability by 10–100 times compared with 5G, 6G should also be intelligent and open to adapt to the ever-changing services in the IoT, which requires a convergence of Communication, Computing and Caching (3C). Based on the analysis of the requirements of new services for 6G, this paper identifies key enabling technologies for an intelligent and open 6G network, all featured with 3C convergence. These technologies cover fundamental and emerging topics, including 3C-based spectrum management, radio channel construction, delay-aware transmission, wireless distributed computing, and network self-evolution. From the detailed analysis of these 3C-based technologies presented in this paper, we can see that although they are promising to enable an intelligent and open 6G, more efforts are needed to realize the expected 6G network.

Ionic liquids (ILs) have received considerable attention as a promising green solvent for extracting metal ions from aqueous solutions. However, the recycling of ILs remains difficult and challenging because of the leaching of ILs, which is caused by the ion exchange extraction mechanism and hydrolysis of ILs in acidic aqueous conditions. In this study, a series of imidazolium-based ILs were confined in a metal–organic framework (MOF) material (UiO-66) to overcome the limitations when used in solvent extraction. The effect of the various anions and cations of the ILs on the adsorption ability of AuCl4− was studied, and 1-hexyl-3-methylimidazole tetrafluoroborate ([HMIm]+[BF4]−@UiO-66) was used for the construction of a stable composite. The adsorption properties and mechanism of [HMIm]+[BF4]−@UiO-66 for Au(III) adsorption were also studied. The concentrations of tetrafluoroborate ([BF4]−) in the aqueous phase after Au(III) adsorption by [HMIm]+[BF4]−@UiO-66 and liquid–liquid extraction by [HMIm]+[BF4]− IL were 0.122 mg/L and 18040 mg/L, respectively. The results reveal that Au(III) coordinated with the N-containing functional groups, while [BF4]− was effectively confined in UiO-66, instead of undergoing anion exchange in liquid–liquid extraction. Electrostatic interactions and the reduction of Au(III) to Au(0) were also important factors determining the adsorption ability of Au(III). [HMIm]+[BF4]−@UiO-66 could be easily regenerated and reused for three cycles without any significant drop in the adsorption capacity.

In this work, microstructural and mechanical anisotropy in cold spray additively manufactured (CSAMed) 7075 Al deposits were studied in detail. For clarity, spray gun traverse direction, pass interval direction and deposition direction were defined as the X, Y and Z, respectively. Tensile tests for two different groups of samples were carried out in different orientations to study the in-plane and three-dimensional anisotropy of CSAMed 7075 Al deposits. Fracture morphology of the specimens was studied by optical microscopy (OM) and scanning electron microscopy (SEM). Transmission electron microscopy (TEM) was employed to examine particle–particle interface bonding. The results revealed that there exists a strong microstructural and mechanical anisotropy in the CSAMed deposits. The ultimate tensile strength (UTS) gradually decreased as the tensile direction changed from X/Y to Z direction. Further, crack propagation behavior was uniform in XY plane but a strong anisotropy was resulted in the planes that were perpendicular to XY plane. The underlying reason and possible mechanism related to this anisotropy was discussed in detail.

COVID-19 mortality is primarily driven by abnormal alveolar fluid metabolism of the lung, leading to fluid accumulation in the alveolar airspace. This condition is generally referred to as pulmonary edema and is a direct consequence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. There are multiple potential mechanisms leading to pulmonary edema in severe Coronavirus Disease (COVID-19) patients and understanding of those mechanisms may enable proper management of this condition. Here, we provide a perspective on abnormal lung humoral metabolism of pulmonary edema in COVID-19 patients, review the mechanisms by which pulmonary edema may be induced in COVID-19 patients, and propose putative drug targets that may be of use in treating COVID-19. Among the currently pursued therapeutic strategies against COVID-19, little attention has been paid to abnormal lung humoral metabolism. Perplexingly, successful balance of lung humoral metabolism may lead to the reduction of the number of COVID-19 death limiting the possibility of healthcare services with insufficient capacity to provide ventilator-assisted respiration.

The next generation of wireless networks faces the challenges of the explosion of mobile data traffic, the associated power consumption, and operation cost. The centralized radio access networks (Centralized RANs) architectures have been proposed to reduce the power consumption and the network operating cost. By integrating many distributed base stations' processing resources in a processing pool and sharing processing resources on demand, the overall required processing resources for the Centralized RAN can be reduced compared to the conventional RAN. This can be measured by the statistical multiplexing gain (SMG). However, most of the SMG analysis only considered the temporal traffic distribution which is not suitable for the current mobile networks. In this paper, we analyze the SMG of processing resources based on a temporal-spatial joint traffic distribution model, which considers the mobile data traffic distribution both in the time and space domains. Based on this model, we derive a formula for the SMG and also a closed-form approximation for that when the spatial traffic distribution is lognormal distribution. The theoretical analysis and simulation results show that the SMG increases with the service threshold ratio Pth, but the growth trend of SMG for different area types is not always the same. We also find that the traffic distribution parameters, such as the standard deviation of the lognormal distribution variable's natural logarithm, have a significant influence on the SMG.

Lung cancer seriously threatens the health of human beings, with non-small cell lung cancer (NSCLC) accounting for 80%. Nowadays, the potential position of nano-delivery in treating cancer has been the subject of continuous research. The present research aimed to prepare two molecular weight hyaluronic acid (HA)-modified kaempferol (KA)-loaded nanostructured lipid carriers (HA-KA-NLCs) by the method of melting ultrasonic and electrostatic adsorption, and to assess the antitumor effect of the preparations on A549 cells. The characterization and safety evaluation of the preparations illustrated that they are acceptable for drug delivery for cancer. Subsequently, differential scanning calorimetry (DSC) curve and transmission electron microscopy (TEM) images indicated that the drug was adequately incorporated in the carrier, and the particle appeared as a sphere. Moreover, HA-KA-NLC showed predominant in vitro antitumor effects, inhibiting proliferation, migration, and invasion, promoting apoptosis and increasing cellular uptake of A549 cells. Otherwise, the Western blot assay revealed that preparations could activate epithelial-mesenchymal transition (EMT)-related signaling pathways and modulate the expression of E-cadherin, N-cadherin, and Vimentin in A549 cells. Our present findings demonstrated that HA-KA-NLC could be considered as a secure and effective carrier for targeted tumor delivery and may have potential application prospects in future clinic therapy of NSCLC.

ObjectiveThis study presents a relatively rare case of disseminated Talaromyces marneffei (T. marneffei) infection in an HIV-negative patient.MethodsAn 8-month-old girl was hospitalized because of uncontrollable fever and cough for 6 days. Routine laboratory tests, biochemical detection, immunological tests, pathogenic examination, and imaging inspection were performed. Genetic tests of trio whole genome sequencing (Trio-WES), trio copy number sequencing (Trio-CNVseq), and Sanger sequencing were conducted to identify pathogenic variants. In silico analysis of the sequence alignment and structural modeling results was carried out to study the possible pathogenicity of the identified variant. Western blotting was performed to investigate the expression of the identified gene at the protein level.ResultsEnhanced CT and MRI scanning demonstrated thymic dysplasia, diffuse pulmonary and liver nodules, and many balloon-like air sacs in both lungs. The white blood cell count, neutrophil count, and neutrophil ratio were normal or elevated. The patient was HIV-negative and bone marrow and blood culture showed T. marneffei infection. Total lymphocyte count, CD3+ T lymphocyte count, CD3+CD4+ T lymphocyte count, CD3+CD8+ T lymphocyte count, and NK cell count decreased, while the number of CD19 positive B cells increased. However, the ratio of CD3+CD4+:CD3+CD8+ T cells increased. Trio-WES identified a homozygous private variant of NM_006509: c.400_c.401insAGC/p.Lys134 delinsLysGln in RELB and Sanger sequencing validated the result. Structural modeling indicated that the variant may be pathogenic. Reverse transcription-polymerase chain reaction and Western blot analysis showed that the expression of RelB in the patient was lower than that in the healthy controls at mRNA and protein levels.ConclusionThis is the first report on disseminated T. marneffei infection in a patient with a homozygous private variant of RELB.

Cell-derived drug carriers have increasingly gained the interest of the scientific community due to their ability to imitate various natural properties of their source cells. We developed theranostics nanoplatforms composed of mesoporous silica nanoparticles (MSNs), indocyanine green (ICG) molecules, microRNAs-137 (miR-137), red-blood-cell membranes (RM), and tumor-targeting cyclo Arg-Gly-Asp-d-Phe-Cys peptides (cRGD(fC)), which were abbreviated as MSNs/ICG/miR/RM/RGD particles. These particles possessed photothermal and gene therapy properties due to ICG and miR-137, respectively. The photothermal conversion efficiency was ~18.7%. Upon 808 nm light irradiation, the tumor inhibition rate reached 94.9% with dosage of 10 mg/kg. The developed nanoplatform possessed unique properties, such as exceptional biocompatibility, immune escaping, and specific recognition, which was also used for near-infrared fluorescence, photoacoustic (PA) bimodal imaging-guided tumor recognition.

An innovative approach is designed to fabricate Ti/steel clad plates. Instead of using Ti sheets, pure Ti powder was initially deposited on steel plates using cold spray additive manufacturing (CSAM). Then well bonded Ti/steel clad plates were obtained through hot-rolling and annealing operations. The mechanical properties of the clad plates at different processing stages were evaluated by performing a series of tensile tests and shear tests. It was revealed that the Ti/steel clad plates had excellent shear strength (280 Mpa), ultimate tensile strength (UTS, 564 Mpa) and decent elongation (EL, 18%). Microstructural investigation of the specimens was performed by scanning electron microscopy (SEM), electron backscattered diffraction (EBSD) and transmission electron microscopy (TEM). It was revealed that cold spraying offers good pre-bonding of Ti with the steel plate thereby suppressing cracking and oxidation at the interface. Hot-rolling treatment repaired the pores/defects in the as-sprayed Ti coating and resulted in metallurgical bonding between Ti particles as well as Ti/steel interface, which remarkably improved the strength of the material. High dislocation density in the clad plates were further eliminated by the annealing treatment through recovery, recrystallization and grain growth mechanisms, which greatly improved the toughness of the samples. Keywords: Ti/steel clad plate, Cold spray additive manufacturing (CSAM), Heat treatment, Mechanical properties, Microstructure

Ligands plays an important role in the extraction procedures for the determination of cadmium in rice samples by using flame atomic absorption spectrometry (FAAS). In the present study, comparative evaluation of 10 commercially available ligands for formation of Cd(II)-ligand complex and determination of cadmium in rice samples by ultrasound-assisted dispersive liquid–liquid microextraction (UADLLME) combined with FAAS was developed. Sodium diethyldithiocarbamate (DDTC) provided a high distribution coefficient as well as a good absorbance signal, therefore DDTC was used as a ligand in UADLLME. A low density and less toxic solvent, 1-heptanol, was used as the extraction solvent and ethanol was used as the disperser solvent. In addition, the experimental conditions of UADLLME were optimized in standard solution first and then applied in rice, such as the type and volume of extractant and dispersant, pH, extraction time, and temperature. Under the optimal experimental conditions, the detection limit (3σ) was 0.69 μg/L for Cd(II). The proposed method was applied for the determination of Cd(II) in three different rice samples (polished rice, brown rice, and glutinous rice), the recovery test was carried out, and the results ranged between 96.7 to 113.6%. The proposed method has the advantages of simplicity, low cost, and accurate and was successfully applied to analyze Cd(II) in rice.

In this study, molybdenum disulfide (MoS2) film samples were prepared at different temperatures and annealed through magnetron sputtering technology. The surface morphology, crystal structure, bonding structure, and optical properties of the samples were characterized and analyzed. The surface of the MoS2 films prepared by radio frequency magnetron sputtering is tightly coupled and well crystallized, the density of the films decreases, and their voids and grain size increase with the increase in deposition temperature. The higher the deposition temperature is, the more stable the MoS2 films deposited will be, and the 200 °C deposition temperature is an inflection point of the film stability. Annealing temperature affects the structure of the films, which is mainly related to sulfur and the growth mechanism of the films. Further research shows that the optical band gaps of the films deposited at different temperatures range from 0.92 eV to 1.15 eV, showing semiconductor bandgap characteristics. The optical band gap of the films deposited at 200 °C is slightly reduced after annealing in the range of 0.71–0.91 eV. After annealing, the optical band gap of the films decreases because of the two exciton peaks generated by the K point in the Brillouin zone of MoS2. The blue shift of the K point in the Brillouin zone causes a certain change in the optical band gap of the films.