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Intrauterine adhesion (IUA) is the fibrosis within the uterine cavity. It is the second most common cause of female infertility, significantly affecting women's physical and mental health. Current treatment strategies fail to provide a satisfactory therapeutic outcome for IUA patients, leaving an enormous challenge for reproductive science. A self-healing adhesive hydrogel with antioxidant properties will be highly helpful in IUA prevention. In this work, we prepare a series of self-healing hydrogels (P10G15, P10G20, and P10G25) with antioxidant and adhesive properties. Those hydrogels exhibit good self-healing properties and can adapt themselves to different structures. They possess good injectability and fit the shape of the human uterus. Moreover, the hydrogels exhibit good tissue adhesiveness, which is desirable for stable retention and therapeutic efficacy. The in vitro experiments using P10G20 show that the adhesive effectively scavenges ABTS+, DPPH, and hydroxyl radicals, rescuing cells from oxidative stress. In addition, P10G20 offers good hemocompatibility and in vitro and in vivo biocompatibility. Furthermore, P10G20 lowers down the in vivo oxidative stress and prevents IUA with less fibrotic tissue and better endometrial regeneration in the animal model. It can effectively downregulate fibrosis-related transforming growth factor beta 1 (TGF-β1) and vascular endothelial growth factor (VEGF). Altogether, these adhesives may be a good alternative for the clinical treatment of intrauterine adhesion.

Shale gas release in canister can significantly enrich our understanding in gas-in-place characteristics. However, studies on shale gas release characteristics and its controlling factors are rare. In this study, gas release curves of 52 shale samples and 3 coal samples were measured using wellsite canister testing technique. According to curve shape, three curve patterns including L-shaped, S-shaped, and M-shaped are identified, and the difference among three curve patterns mainly lies in the fractional gas volume released in surface temperature stage. To evaluate the dependence of released gas content on shale properties, the variation in released gas content with organic matter, minerals, porosity, permeability, specific surface area, and pore volume is analyzed and found that the released gas content shows a strong dependence on the properties that control or could increase gas adsorption and diffusion capacity, such as TOC content, specific surface area, and permeability, while showing no dependence on the properties that control free gas storage capacity, such as minerals, porosity, and pore volume. Additionally, correlations of released gas content with adsorbed/free gas show that the released gas during canister testing is the gas that was in the adsorbed state in reservoir, and the free gas has been lost during coring, as well as a fraction of adsorbed gas. Above findings provide insightful information not only on gas-in-place evaluations but also on the dynamic behavior of adsorbed/free gas from producing well.

Kaempferol-3-O-rutinoside (KR) is a flavonoid glycoside derived from traditional Chinese medicine, plants, and tea, and has good myocardial protection. This study focuses on the mechanism of myocardial protection with KR and whether myocardial protection can be achieved by activating the adenosine monophosphate-activated protein kinase–silent mating-type information regulation 2 homolog 1 (sirtuin) (AMPK/SIRT1) signal pathway. Molecular docking technique was used to predict the binding affinity of KR to AMPK. The inflammatory injury model of H9c2 cells was established by lipopolysaccharide (LPS) induction. H9c2 cell proliferation was detected by cell counting kit -8 assay. The apoptosis rate was measured by flow cytometry. Levels of interlukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) were determined by enzyme-linked-immunosorbent serologic assay. AMPK and SIRT1 expression levels were quantified through reverse transcription-polymerase chain reaction and Western blotting assay. Results indicated that KR has a certain binding affinity with AMPK. KR could increase the growth of H9c2 inhibited by LPS, reduce apoptosis rate, and reverse the elevated levels of IL-1β, IL-6, and TNF-α. Furthermore, KR could suppress the expression levels of AMPK and SIRT1, and AMPK-specific inhibitor (Compound C) could significantly counteract the activation of KR, indicating that its anti-inflammatory effect is achieved by regulating the AMPK/SIRT1 signaling pathway.

Polygonatum polysaccharide (PP) has good myocardial protection. This study aims to find whether PP can relieve inflammation and play a protective role in diabetic cardiomyopathy (DCM). Intraperitoneal injection of streptozotocin was used to induce DCM in rats, which were then separated into four groups: model group, PP-200 group (200 mg/kg PP), PP-400 group (400 mg/kg PP), and Met group (120 mg/kg metformin). Both control (NC) and model groups of rats were administered normal saline. According to the kit instructions mentioned on the kit, the levels of blood glucose, glycosylated hemoglobin, insulin (INS), and myocardial enzymes (creatinine kinase, B-type natriuretic peptide, and cardiac troponin I) were measured after 8 weeks. Cardiac function was detected by echocardiography. Hematoxylin and eosin (HE) and Masson staining were used to observe pathological changes. Myocardial RNA and protein levels of NLR family pyrin domain containing 3 (NLRP3), caspase-1, and Gasdermin D (GSDMD) were quantified through reverse transcription-polymerase chain reaction and Western blotting analysis. The in vivo findings showed that PP could reduce blood glucose, glycosylated hemoglobin, and INS levels, enhance heart functioning, restore histological alterations and myocardial enzymes, and relieve myocardial fibrosis. Furthermore, PP suppressed the expressions of NLRP3, caspase-1, and GSDMD. PP could reduce inflammation in DCM rats by suppressing NLRP3 inflammasome.

The first sodium borate-squarate, Na2(C4O4)(H3BO3)(H2O)4·H3BO3, with strong SHG response obtained by the synergy effect between two planar NLO-active motifs.

In the present study, zein–bovine serum albumin (BSA) composite nanoparticles (NPs) are produced with the use of a pH-driven method.

Reconstruction on the surface of an SCFO perovskite oxide by acid treatment leads to improved OER performance.

In this study, seven gradient plasticizing time at 200°C were set to explore the effects on Bally Flex fatigue of soft poly(vinyl chloride) (PVC). The results showed that the rotational rheometer was well used to characterize the plasticizing process of PVC paste. The optimum plasticizing temperature of soft PVC was about 180°C. Within a certain range of plasticizing time, the glass transition temperature of soft PVC decreased with the extension of plasticizing time, and the Bally Flex fatigue life was prolonged as the plasticizing time extended. When the plasticizing time was 105 s, the plasticization was nearly completed, which can be used as an optimum plasticizing time in terms of manufacturing efficiency and quality. When the plasticization time was 135 s, the degree of plasticization was the highest. The fatigue cycles of Bally Flex and breaking energy (W) at −20°C were 136,000 and 4850 J·m−3, respectively. It was concluded that Bally Flex fatigue life and W had a good positive correlation. Thus, the tensile test can be used as a simple approach to predict the Bally Flex fatigue life trend of soft PVC specimens.

Increasing preclinical and clinical results have demonstrated that mRNA vaccines efficiently prevent infectious diseases and are safe in animal models and humans. In this study, we fabricated a multivalent influenza mRNA lipid nanoparticle (LNP) vaccine with mRNAs of hemagglutinins from influenza H1N1 and H3N2 viruses, matrix protein 1, and nucleoprotein. We found that cutaneous immunization with mRNA LNPs induced strong Th1 and Th2 cellular immunity with robust antigen-specific antibody titers and increased cytokine-secreting splenocytes and antibody-secreting cells. The supplement of cGAMP improved the immunogenicity of mRNA LNPs. Compared with αGC or cGAMP/αGC adjuvanted mRNA LNP formulations in our study, cGAMP mRNA LNPs induced more robust antibody responses. Enhanced cellular immunity with more IL-4 and IFN-γ secreting cells and effector memory T cell populations in spleens, as well as increased CD4+ resident memory (T

In this study, a random multiple human tumor cell line screening of an in-stock small-molecule chemical library was performed, and a hit compound, 1,4-benzodiazepine-2,5-dione (BZD

With the rapid development of artificial intelligence, big data, blockchain, and other technologies, the impact of intelligent environment on the development of education has become more and more profound. Other developed countries have realized that education reform is urgent in the intelligent environment. So as to seize the major strategic opportunity of artificial intelligence development, my country has optimized the teaching content, teaching methods, and teaching methods of traditional piano teaching on the basis of respecting the traditional piano teaching concept. Upgrade to achieve the innovation of the relationship between teaching and learning in piano education in normal schools, and create a new situation for piano teaching in normal schools. Based on the current situation of piano education for musicology majors in normal schools, this paper takes the intelligent piano as the research object, compares the advantages and disadvantages of the application of smart pianos and traditional pianos in the environment of normal schools, combines the intelligent technology provided by smart pianos, and explores the application of technology to pianos in normal normal schools. The path of teaching reflects the value and use value of intelligent piano in piano teaching in normal schools and explores the value of intelligent piano teaching.

KRAS is the most frequently mutated oncogene in human malignancies, observed in approximately two in five colorectal cancers (CRC). KRAS mutations were historically considered “undruggable” ten years ago and associated with resistance to EGFR targeted therapy. The success of finding allele-specific covalent KRASG12C inhibitors recently has made markedly breakthrough in KRAS targeted therapy, and has accelerated the discovery of agents targeting other KRAS mutants, such as G12D and G12V. Evidence in preclinical and clinical settings has proved excellent efficacy of several inhibitors in KRAS mutant CRC. Sotorasib and Adagrasib are currently changing the treatment paradigm for patients with metastatic CRC harboring KRASG12C mutation. The phenomenon that KRASG12C inhibition shows inferior efficacy in patients with CRC compared with non-small cell lung cancer has been observed in clinic due to drug resistance, and combination strategies to overcome the resistance are now being investigated in clinical trials. Here, we review the development of KRAS targeted treatment in CRC, mechanisms of resistance and potential combination strategies to improve efficacy.

The study aims to search for green, non-toxic bio-based plasticizers to replace traditional o-benzene petroleum-based plasticizers used in polyvinyl chloride films for automotive interior decoration. Three bio-based plasticizers – epoxy, polyester, and citrate were chosen and characterized based on refractive index, viscosity, and plasticizing efficiency. The three types of bio-based plasticizers were then applied to PVC films for automotive interiors. The odor rating, emission properties test, tensile test, dynamic thermomechanical test, low-temperature fatigue resistance test, and heat performance test were used to characterize the polyvinyl chloride film’s application properties. The results showed that the properties of epoxy plasticizer and polyester plasticizer are very close to those of traditional o-benzene petroleum-based plasticizers. In particular, polyvinyl chloride films prepared from polyester plasticizers have advantages in mechanical properties. The strength, elongation, and elasticity characteristics of PVC films plasticized with polyester bio-based plasticizer are 8.77 MPa, 533.92%, and 129.74 Nm, respectively. While the PVC films plasticized with epoxy bio-based plasticizer has an excellent heat resistance and aging resistance, with an initial gel temperature of 185.668 °C. However, the polyvinyl chloride film prepared with citrate plasticizer does not meet the requirements for application in automotive interiors due to its poor emission performance.

Laser cladding is a technology that uses high-energy-density lasers to quickly melt and solidify alloy powder on the surface of the metal substrate to form a cladding layer with good performance. Especially, martensitic stainless steel is widely used as a cladding material due to its high hardness and wear resistance. In this work, the martensitic stainless steel layers were fabricated on the C45 steel substrate by the laser cladding with different process parameters. The results show that holes in the cladding layer is unavoidable. The laser cladding process parameters have the important influence on the residual stress in the cladding layer. Under the action of residual stresses, the holes in the cladding layer will be the source of cracks, which will cause cracks in the cladding layer.

Coriaria nepalensis Wall. (Coriariaceae) is a nitrogen-fixing shrub which forms root nodules with the actinomycete Frankia. Oils and extracts of C. nepalensis have been reported to be bacteriostatic and insecticidal, and C. nepalensis bark provides a valuable tannin resource. Here, by combining PacBio HiFi sequencing and Hi-C scaffolding techniques, we generated a haplotype-resolved chromosome-scale genome assembly for C. nepalensis. This genome assembly is approximately 620 Mb in size with a contig N50 of 11 Mb, with 99.9% of the total assembled sequences anchored to 40 pseudochromosomes. We predicted 60,862 protein-coding genes of which 99.5% were annotated from databases. We further identified 939 tRNAs, 7,297 rRNAs, and 982 ncRNAs. The chromosome-scale genome of C. nepalensis is expected to be a significant resource for understanding the genetic basis of root nodulation with Frankia, toxicity, and tannin biosynthesis.

Background Epidemiological studies have shown that sarcopenia was associated with depression among older adults. However, most of these investigations used a cross-sectional design, limiting the ability to establish a causal relation, the present study examined whether sarcopenia was associated with incident depressive symptoms.Methods This is a prospective cohort study with participants from the Western China Health and Aging Trends (WCHAT) study. Participants could complete anthropometric measurements and questionnaires were included. The exposure was sarcopenia, defined according to the Asian Working Group for Sarcopenia in 2019, the outcome was depressive symptoms, evaluated by GDS-15. We excluded depression and depressive symptoms at baseline and calculated the risk of incident depressive symptoms during the follow-up year.Results A total of 2612 participants (mean age of 62.14 ± 8.08 years) were included, of which 493 with sarcopenia. 78 (15.82%) participants with sarcopenia had onset depressive symptoms within the next year. After multivariable adjustment, sarcopenia increased the risk of depressive symptoms (RR = 1.651, 95%CI = 1.087–2.507, P = 0.0187) in overall participants. Such relationship still exists in gender and sarcopenia severity subgroups. Low muscle mass increased the risk of depressive symptoms (RR = 1.600, 95%CI = 1.150–2.228, P = 0.0053), but low muscle strength had no effect (RR = 1.250, 95%CI = 0.946–1.653, P = 0.117).Conclusions Sarcopenia is an independent risk factor for depressive symptoms, Precautions to early detect and targeted intervene for sarcopenia should continue to be employed in adult with sarcopenia to achieve early prevention for depression and reduce the incidence of adverse clinical outcomes.

Drivers have distinctively diverse behaviors when operating vehicles in natural traffic flow, such as preferred pedal position, car-following distance, preview time headway, etc. These highly personalized behavioral variations are known to impact vehicle fuel economy qualitatively. Nevertheless, the quantitative relationship between driving behaviors and vehicle fuel consumption remains obscure. Addressing this critical missing link will contribute to the improvement of transportation sustainability, as well as understanding drivers' behavioral diversity. This study proposed an integrated microscopic driver behavior and fuel consumption model to assess and predict vehicle fuel economy with naturalistic highway and local commuting traffic data. Through extensive Monte Carlo simulations, significant correlation results are revealed between specific individual driving preferences and fuel economy over drivers' frequent commuting routes. Correlation results indicate that the differences in fuel consumption incurred by various driving behaviors, even in the same traffic conditions, can be as much as 29% for a light-duty truck and 15% for a passenger car. A Gaussian Process Regression model is further trained, validated, and tested under different traffic and vehicle conditions to predict fuel consumption based on drivers' personalized behaviors. Such a quantitative and personalized model can be used to identify and recommend fuel-friendly driving behaviors and routes, demonstrating a strong incentive for relevant stakeholders., To appear in the IEEE Transactions on Vehicular Technology

Nowadays, most data about social networks, users shopping behaviors, and inter-item relationships etc., can be represented as graph structure. Graph Neural Networks (GNNs) have shown great success in learning meaningful representations for graph data by naturally integrating node information and topological structures. Data used in making social recommendations can also be represented as graph data in the form of user-user social graphs and user-item graphs. In addition, the relationships between items can be represented as graph data, denoted as item-item graph. GNNs provide an unprecedented opportunity to advance social recommendations, yet there are considerable challenges in building GNNs-based social recommendations based on this modelling framework in that (1) users (items) are simultaneously involved in the user-item graph and user-user social graph (item-item graph); (2) user-item graphs not only contain user-item interactions but also include users' opinions on items; and (3) the nature of social relations are heterogeneous among users. In this paper, we propose a novel graph neural network framework (GraphRec+) for social recommendations, which is able to coherently model graph data in order to learn better user and item representations. Comprehensive experiments on three real-world datasets show the effectiveness of the proposed framework.