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Background. Enriched environment (EE) can protect the brain against damages caused by an ischemic stroke; however, the underlying mechanism remains elusive. Autophagy and mitochondria quality control are instrumental in the pathogenesis of ischemic stroke. In this study, we investigated whether and how autophagy and mitochondria quality control contribute to the protective effect of EE in the acute phase of cerebral ischemia–reperfusion injury. Methods. We exposed transient middle cerebral artery occlusion (tMCAO) mice to EE or standard condition (SC) for 7 days and then studied them for neurological deficits, autophagy and inflammation-related proteins, and mitochondrial morphology and function. Results. Compared to tMCAO mice in the SC group, those in the EE group showed fewer neurological deficits, relatively downregulated inflammation, higher LC3 expression, higher mitochondrial Parkin levels, higher mitochondrial fission factor dynamin-related protein-1 (Drp1) levels, lower p62 expression, and lower autophagy inhibitor mTOR expression. Furthermore, we found that the EE group showed a higher number of mitophagosomes and normal mitochondria, fewer mitolysosomes, and relatively increased mitochondrial membrane potential. Conclusion. These results suggested that EE enhances autophagy flux by inhibiting mTOR and enhances mitophagy flux via recruiting Drp1 and Parkin to eliminate dysfunctional mitochondria, which in turn inhibits inflammation and alleviates neurological deficits. Limitations. The specific mechanisms through which EE promotes autophagy and mitophagy and the signaling pathways that link them with inflammation need further study.

The potential role of brassinosteroid (BR) and abscisic acid (ABA) against cold stress in plants separately has been made with much effort. However, the connection between BR and ABA in response to cold stress is less clear. Herein, the potential involvement of ABA in BR-induced cold resistance in grapevines was investigated by contrasting the different responses among ABA, BR, and the combination of BR and NDGA (an inhibitor of endogenous ABA biosynthesis) treatments under cold stress. Results showed BR and ABA foliar application alone increased the chlorophyll fluorescence parameters, regulated the antioxidant system, and alleviated oxidative damage induced by low temperature stress. Interestingly, NDGA blocked the BR-induced cold resistance by increasing reactive oxygen species content and reducing antioxidant enzyme activity. Transcriptomic analysis suggested that exposure to cold stress resulted in very different patterns of gene expression and enriched pathway responses. Among them, genes from the ERF transcription factors were observed to be up-regulated both BR and ABA treatment, calcium-binding protein genes were up-regulated only under BR treatment alone, xyloglucosyl transferase genes were up-regulated only under ABA treatment. Overall, we concluded that ABA was involved in BR-induced cold resistance in grapevines, but there was also a different candidate pathway between ABA and BR treatments under cold stress.

Herein, we analyzed total polyphenol content, total flavonoid content, and the antioxidant activity of the ethanol and distilled water extracted Houttuynia cordata perennial herb. Later, we investigated the possibility of producing Houttuynia cordata extract (HCE) loaded Polyurethane (PU) nanofibers via the electrospinning technique. The analysis confirmed that the total polyphenol, total flavonoid content, and antioxidant activity of the ethanol extracted HCE were higher than the distilled water extracted HCE. Therefore, the ethanol extracted HCE was used to prepare HCE/PU nanofibers by varying concentrations of HCE and PU. The HCE/PU nanofibers showed a mixed pattern of beads and fibers at a PU concentration of 10 wt%. However, at 12 wt% PU concentration, relatively uniform nanofibers with an average diameter of about 200 nm were formed at 1.0% and 1.5 wt% of HCE. The successful incorporation of HCE in PU nanofibrous matrix was confirmed by the presence of its characteristic bands in Fourier transform infrared (FTIR) and X-ray diffraction (XRD) spectra. The addition of HCE increased the crystallinity, the amount of heat required for pyrolysis, and the thermal stability of HCE/PU nanofibers, which must be credited to the HCE-derived quercitrin and quercetin crystallite solids.

Wearable flexible sensors are widely used in several applications such as physiological monitoring, electronic skin, and telemedicine. Typically, flexible sensors that are made of elastomeric thin-films lack sufficient permeability, which leads to skin inflammation, and more importantly, affects signal detection and consequently, reduces the sensitivity of the sensor. In this study, we designed a flexible nanofibrous membrane with a high air permeability (6.10 mm/s), which could be effectively used to monitor human motion signals and physiological signals. More specifically, a flexible membrane with a point (liquid metal nanoparticles)-line (carbon nanotubes)-plane (liquid metal thin-film) multiscale conductive structure was fabricated by combining liquid metal (LM) and carbon nanotubes (CNTs) with a polyurethane (PU) nanofibrous membrane. Interestingly, the excellent conductivity and fluidity of the liquid metal enhanced the sensitivity and stability of the membrane. More precisely, the gauge factor (GF) values of the membrane is 3.0 at 50% strain and 14.0 at 400% strain, which corresponds to a high strain sensitivity within the whole range of deformation. Additionally, the proposed membrane has good mechanical properties with an elongation at a break of 490% and a tensile strength of 12 MPa. Furthermore, the flexible membrane exhibits good biocompatibility and can efficiently monitor human health signals, thereby indicating potential for application in the field of wearable electronic devices.

Objectives To explore the causes of sudden unexpected death (SUD) and to search for high-risk people, whole exome sequencing (WES) was performed in families with SUDs. Methods Whole exome sequencing of 25 people from 14 SUD families were screened based on cardiac disease-associated gene variants, and their echocardiograms and electrocardiograms (ECG) were also examined. The protein function of mutated genes was predicted by SIFT, PolyPhen2 and Mutation Assessor. Results In the group of 25 people from 14 SUD families, 49 single nucleotide variants (SNVs) of cardiac disease-associated genes were found and verified by Sanger sequencing. 29 SNVs of 14 cardiac disorder-related genes were predicted as pathogens by software. Among them, 7 SNVs carried by two or more members were found in 5 families, including SCN5A (c.3577C > T), IRX4 (c.230A > G), LDB3 (c.2104 T > G), MYH6 (c.3G > A), MYH6 (c.3928 T > C), TTN (c.80987C > T) and TTN (c.8069C > T). 25 ECGs were collected. In summary, 4 people had J-point elevation, 2 people had long QT syndrome (LQTS), 4 people had prolonged QT interval, 3 people had T-wave changes, 3 people had sinus tachycardia, 4 people had sinus bradycardia, 4 people had left side of QRS electrical axis, and 3 people had P wave broadening. Echocardiographic results showed that 1 person had atrial septal defect, 1 person had tricuspid regurgitation, and 2 people had left ventricular diastolic dysfunction. Conclusions Of the 14 heart disease-associated genes in 14 SUDs families, there are 7 possible pathological SNVS may be associated with SUDs. Our results indicate that people with ECG abnormalities, such as prolonged QT interval, ST segment changes, T-wave change and carrying the above 7 SNVs, should be the focus of prevention of sudden death.

Purpose: The purpose of this paper is to develop a method to automatic classify capsule gastroscope image into three categories to prevent high-risk factors for carcinogenesis, such as atrophic gastritis (AG). The purpose of this research work is to develop a deep learning framework based on transfer learning to classify capsule gastroscope image into three categories: normal gastroscopic image, chronic erosive gastritis images, and ulcer gastric image.Method: In this research work, we proposed deep learning framework based on transfer learning to classify capsule gastroscope image into three categories: normal gastroscopic image, chronic erosive gastritis images, and ulcer gastric image. We used VGG- 16, ResNet-50, and Inception V3 pre-trained models, fine-tuned them and adjust hyperparameters according to our classification problem.Results: A dataset containing 380 images was collected for each capsule gastroscope image category, and divided into training set and test set in a ratio of 70%, and 30% respectively, and then based on the dataset, three methods, including as VGG- 16, ResNet-50, and Inception v3 are used. We achieved highest accuracy of 94.80% by using VGG- 16 to diagnose and classify capsule gastroscopic images into three categories: normal gastroscopic image, chronic erosive gastritis images, and ulcer gastric image. Our proposed approach classified capsule gastroscope image with respectable specificity and accuracy.Conclusion: The primary technique and industry standard for diagnosing and treating numerous stomach problems is gastroscopy. Capsule gastroscope is a new screening tool for gastric diseases. However, a number of elements, including image quality of capsule endoscopy, the doctors’ experience and fatigue, limit its effectiveness. Early identification is necessary for high-risk factors for carcinogenesis, such as atrophic gastritis (AG). Our suggested framework will help prevent incorrect diagnoses brought on by low image quality, individual experience, and inadequate gastroscopy inspection coverage, among other factors. As a result, the suggested approach will raise the standard of gastroscopy. Deep learning has great potential in gastritis image classification for assisting with achieving accurate diagnoses after endoscopic procedures.

A novel missense variant (NM_005327.7: c.99CG, p.Ile33Met) was discovered in 3-hydroxyacyl-CoA dehydrogenase (HADH), which is involved in congenital hyperinsulinism (CHI). This variant may be damaging or deleterious, as assessed using protein prediction software. This study aimed at the impact of this variant on islets and if it caused the leu-sensitive insulin secretion. The adenoassociated virus containing the HADH missense variant (p.Ile33Met), wild-type (WT) HADH or empty vector (EV) was constructed, and the rats were infected with it. Three weeks after the transfection, 15 rats were dissected to observe the effect of the variant on the islet tissue. Then we treated the remaining rats with leucine or sodium carboxymethyl cellulose (CMC-Na) by gavage and drew blood from the rat tail vein to detect the variations in blood glucose, serum insulin and serum glucagon. Further, we dissected the rats to observe the fluctuation of insulin and glucagon contents in pancreatic islets under the combined action of leucine and p.Ile33Met. Insulin and glucagon were observed in the islet tissue under an inverted fluorescence microscope, serum insulin and glucagon were detected by ELISA, and the blood glucose value was determined using a Roche glucometer. The positive area and average gray value of islet fluorescence pictures were analysed using the software Image J (USA). Rats expressing p.Ile33Met showed significantly higher insulin and glucagon content, as well as the islet area, compared to WT and EV rats. Moreover, after intragastric administration of leucine, the serum insulin content of the variant rats increased but the blood sugar level decreased significantly. Meanwhile, there was an appreciable decrease in the insulin content in rat pancreatic islet tissues. Our results suggest that the variant NM_005327.7: c.99CG promotes the proliferation of pancreatic islets, enhances the secretion of insulin, and induces leu-sensitive hyperinsulinaemia.

Inbreeding is thought to be a key adverse factor impacting the genetic quality of seeds in seed production populations and the inbreeding degree (i.e., selfing or outcrossing rate) of seed production populations have been extensively assessed through mating system analysis. The depression effect of inbreeding on seed quality traits in seed production populations under open-pollination conditions has not yet been clearly described. In this study, the open-pollinated seeds were collected from 26 mother trees in a 58-year-old seed tree stand. Three seed quality traits, including thousand-seed weight (TSW), germination rate (GR) and germination potential (GP), were measured, and the seeds from eight of 26 families with significant differences in seed quality traits were genotyped through twelve microsatellite markers. In addition, the seeds and sprouts (germinated seeds) from six families were genotyped to reveal the effect of inbreeding on seed germination. The three seed quality traits significantly differed among families (ptm = 0.889) and single-locus outcrossing rate (ts = 0.648) of overall seeds indicated apparent selfing (11.1%) and biparental inbreeding (24.0%). The outcrossing rate in the sprout group (tm = 0.919, ts = 0.788) was higher than that in the seed group (tm = 0.833, ts = 0.646), and the difference in ts between groups was different from zero under the 95% confidence interval (0.024-0.260), suggesting that inbreeding negatively affected seed germination. Linear regression demonstrated that TSW was positively correlated with tm and ts, while GR was negatively related to tm-ts and positively related to ts, implying that seed mass (development) was probably more affected by self-fertilization, but germination capacity was more influenced by biparental inbreeding. Roughly, the inbreeding depression (ID) of TSW was 26.3% with a 0.1 decrease in tm, while GR was 8.4% with a 0.1 decrease in ts. In summary, these results suggest that the IDs during seed development and the germination stage of Masson pine were nonignorable and that more attention should be given to the establishment and management of Masson pine seed production.

Adding fumed silica (SiO2) has been considered as an effective method for tailoring the phase morphology and performance of elastomer-toughened plastic binary blends. It has been demonstrated that the selective distribution of SiO2 plays a decisive role in the mechanical properties of plastic/elastomer/SiO2 nanocomposites, especially for the impact toughness. In this work, we aim to illuminate the role of specific surface area in controlling their selective distribution of fumed SiO2 and consequent mechanical properties of plastic/elastomer binary blends. Three types of SiO2 with different specific surface areas were incorporated into polylactide/ethylene-co-vinyl-acetate (PLA/EVA) model blends by melt blending directly. It was found that the selective distribution of SiO2 is largely determined by their specific surface areas, i.e. SiO2 nanoparticles with low specific surface area has a stronger tendency to be located at the interface between PLA matrix and EVA dispersed phase as compared to those with high specific surface area. The specific surface area-dependent interfacial selective distribution of SiO2 is mainly attributed to the extent of increased viscosity of EVA dispersed phase in which SiO2 nanoparticles are initially dispersed and resultant migration rate of SiO2 nanoparticles. The interfacial localized SiO2 nanoparticles induce an obvious enhancement in the impact toughness with strength and modulus well maintained. More importantly, in the case of the same interfacial distribution, toughening efficiency is increased with the specific surface area of SiO2. Therefore, this is an optimum specific surface area of SiO2 for the toughening. This work not only provides a novel way to manipulate the selective distribution of SiO2 in elastomer-toughened plastic blends toward high-performance, but also gives a deep insight into the role of interfacial localized nanoparticles in the toughening mechanism.

Transforming growth factor beta (TGF‐β) plays an important role in the viral liver disease progression via controlling viral propagation and mediating inflammation‐associated responses. However, the antiviral activities and mechanisms of TGF‐β isoforms, including TGF‐β1, TGF‐β2 and TGF‐β3, remain unclear. Here, we demonstrated that all of the three TGF‐β isoforms were increased in Huh7.5 cells infected by hepatitis C virus (HCV), but in turn, the elevated TGF‐β isoforms could inhibit HCV propagation with different potency in infectious HCV cell culture system. TGF‐β isoforms suppressed HCV propagation through interrupting several different stages in the whole HCV life cycle, including virus entry and intracellular replication, in TGF‐β/SMAD signalling pathway–dependent and TGF‐β/SMAD signalling pathway–independent manners. TGF‐β isoforms showed additional anti‐HCV activities when combined with each other. However, the elevated TGF‐β1 and TGF‐β2, not TGF‐β3, could also induce liver fibrosis with a high expression of type I collagen alpha‐1 and α‐smooth muscle actin in LX‐2 cells. Our results showed a new insight into TGF‐β isoforms in the HCV‐related liver disease progression.

Graphdiyne (GDY) is emerging as a promising material for various applications owing to its unique structure and fascinating properties. However, the application of GDY in electronics and optoelectronics are still in its infancy, primarily owing to the huge challenge in the synthesis of large-area and uniform GDY film for scalable applications. Here a modified van der Waals epitaxy strategy is proposed to synthesize wafer-scale GDY film with high uniformity and controllable thickness directly on graphene (Gr) surface, providing an ideal platform to construct large-scale GDY/Gr-based optoelectronic synapse array. Essential synaptic behaviors have been realized, and the linear and symmetric conductance-update characteristics facilitate the implementation of neuromorphic computing for image recognition with high accuracy and strong fault tolerance. Logic functions including “NAND” and “NOR” are integrated into the synapse which can be executed in an optical pathway. Moreover, a visible information sensing-memory-processing system is constructed to execute real-time image acquisition, in situ image memorization and distinction tasks, avoiding the time latency and energy consumption caused by data conversion and transmission in conventional visual systems. These results highlight the potential of GDY in applications of neuromorphic computing and artificial visual systems.

The genetic diversity and mating status of seed production stands are crucial factors impacting the genetic quality and ecological stability of progeny plantations. The genetic homogeneity of seeds collected from a seed production population in different years has not yet been clearly described. In this study, the genetic diversity and differentiation of a seed-tree stand of 58-year-old Pinus massoniana (P1959) and four-open pollinated plantations of its progeny (OS1996, OS2000, OS2006 and OS2015) were determined by using microsatellite markers. The results showed that similar high genetic diversity was preserved in the seed-tree stand and its four progenies. This implied that current artificial seed harvesting from the seed-tree stand for reforestation does not lead to a significant reduction in genetic diversity; the F index across most loci was significantly greater than zero, indicating population homozygote excess. The pairwise genetic differentiation of the five populations ranged from 0.035 to 0.075, among which OS2015 was the most differentiated from the parent. The differentiation between the parental population and its progeny seemed to increase with increasing age of the seed-trees. This implied that a limited pollination coupled with variable within-stand pollen availability has created opportunities for both self- and foreign pollination to be successful in various periods, resulting in a seemingly paradoxical scenario of both high selfing and gene flow, ultimately resulting in gradually increasing differences in the gene frequency composition between the parental population and its progeny. Management considerations in addressing these problems in similar seed production stands were discussed.

The huge global burden of atherosclerotic cardiovascular diseases (CVDs) represents an urgent unmet need for the development of novel therapeutics. Dracocephalum moldavica L. has been used as a traditional Uygur medicine to treat various CVDs for centuries. Tilianin is a major flavonoid component of D. moldavica L. and has potential for preventing atherosclerosis. However, the molecular mechanisms that tilianin attenuate atherosclerosis are far from fully understood.The purpose of this study is to investigate the efficiency and underlying mechanisms of tilianin in controlling lipid profile and preventing atherogenesis.The lipid-lowering effect of tilianin was evaluated in C57BL/6 and ApoETilianin treatment improved lipid profiles in C57BL/6 and dyslipidemic ApoEThis study demonstrated the lipid-lowering effect of tilianin through SREBP2-mediated transcriptional activation of LDLR. Our findings reveal a novel anti-atherosclerotic mechanism of tilianin and underlie its potential clinical use in modulating CVDs with good availability and affordability.

Yellow and dark mealworms (Tenebrio molitor and Tenebrio obscurus) biodegrade commercial polyethylene (PE) materials at a high rate. We examined the impact of physical and chemical properties on biodegradation using high purity microplastics (MPs). These included high-density polyethylene (HDPE), low-density polyethylene (LDPE), and linear low-density polyethylene (LLDPE), all with different weight average molecular weights (M

In blood vessels, endothelial cells (ECs) grow along the direction of blood flow, while smooth muscle cells (SMCs) grow circumferentially along the vessel wall. To mimic this structure, a polycaprolactone (PCL) tubular scaffold with orthogonally oriented bilayer nanofibers was prepared via electrospinning and winding. ECs were cultured on the inner layer of the scaffold with axial nanofibers and SMCs were cultured on the outer layer of the scaffold with circumferential nanofibers. Fluorescence images of the F-actin distribution of ECs and SMCs indicated that cells adhered, stretched, and proliferated in an oriented manner on the scaffold. Moreover, layers of ECs and SMCs formed on the scaffold after one month of incubation. The expression levels of platelet-endothelial cell adhesion molecule 1 (PECAM-1) and a contractile SMC phenotype marker in the EC/SMC co-culture system were much higher than those in individual culture systems, thus demonstrating that the proposed biomimetic scaffold promoted the intercellular junction of ECs and preserved the contractile phenotype of SMCs.

We studied patients with chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids (CLIPPERS) associated with or without lymphoma and measured risk factors suggestive of an underlying lymphoma and follow-up outcomes.CLIPPERS patients associated with or without lymphoma were included into this study. Clinical presentations were documented, risk factors suggestive of an underlying lymphoma were tested, and prognostic differences in terms of death were compared.Ten patients had a diagnosis of CLIPPERS associated with lymphoma, with 6 B-cell non-Hodgkin lymphoma, 2 T-cell non-Hodgkin lymphoma and 2 Hodgkin lymphoma. Using multivariate logistic analysis, the following 3 independent risk factors were found to be related to a final diagnosis of lymphoma: hyperreflexia (HR 16.56; 95% CI 1.03-265.29; p = 0.032), elevated protein in CSF (HR 11.59; 95% CI 1.24-108.39; p = 0.047), and recurrences between 2 months and 1 year after treatment (HR 29.27; 95% CI 2.09-409.58; p = 0.012). The model calibration was satisfactory (p = 0.392 with the Hosmer-Lemeshow test), and the discrimination power was good (area under the receiver operating characteristic curve 0.921; p 0.001, 95% CI 0.826-1.000). Patients with CLIPPERS associated with lymphoma had higher mortality rate and lymphoma was a significant predictor of total mortality (HR 0.040; 95% CI 0.006-0.262; p = 0.001).Hyperreflexia, elevated protein in CSF and recurrences between 2 months and 1 year after treatment are risk factors suggesting an underlying lymphoma. Relapses during high-dose steroids maintenance therapy can be indicative of lymphoma, too. Patients having CLIPPERS associated with lymphoma have a worse prognosis than those without lymphoma.

We examined the cross-sectional association between mushroom intake and mild cognitive impairment (MCI) using data from 663 participants aged 60 and above from the Diet and Healthy Aging (DaHA) study in Singapore. Compared with participants who consumed mushrooms less than once per week, participants who consumed mushrooms >2 portions per week had reduced odds of having MCI (odds ratio = 0.43, 95% CI 0.23-0.78, p = 0.006) and this association was independent of age, gender, education, cigarette smoking, alcohol consumption, hypertension, diabetes, heart disease, stroke, physical activities, and social activities. Our cross-sectional data support the potential role of mushrooms and their bioactive compounds in delaying neurodegeneration.

Bicyclol, a synthetic hepatoprotective and anti-inflammatory agent approved in China, was widely used to treat various hepatitis accompanied by elevated serum aminotransferases. However, the pharmacological effects and mechanisms of bicyclol on advanced liver diseases, such as fibrosis/cirrhosis and hepatocellular carcinoma (HCC), remain to be explored. Here, we revealed that bicyclol prevents from formatting severe fibrosis, slows the progression of moderate liver fibrosis, accelerates the regression of moderate liver fibrosis, decreases the malignancy of HCC in rat models induced by diethylnitrosamine (DEN), and also blocks steatohepatitis to HCC in mice induced by western diet plus carbon tetrachloride and DEN. The detailed pharmacological mechanism showed that bicyclol alleviates chronic progressive liver diseases by inhibiting the levels of IL-6 and subsequent phosphorylated STAT3. Conclusion: Bicyclol plays significant protective roles in multiply stages of fibrosis/cirrhosis-HCC and nonalcoholic fatty liver disease-related HCC via inhibiting IL-6/STAT3 signaling pathway. Therefore, bicyclol might be a promising therapeutic strategy for treating advanced liver diseases.

Our previous studies indicate that resistance induction using first-generation tyrosine kinase inhibitors (TKIs) in lung cancer is accompanied with p120-catenin (p120ctn) cytoplasmic translocation from the membrane. However, the molecular mechanism underlying p120ctn intracytoplasmic translocation has not yet been reported. We performed immunohistochemistry to detect the correlation of p120ctn distribution with protein tyrosine phosphatase non-receptor type 12 (PTP-PEST) and p120ctn Y335 phosphorylation levels in non-small cell lung cancer (NSCLC) patients. After resistance induction using first-generation TKIs in lung cancer cells, Western blotting and substrate trapping were used to assess PTP-PEST expression and its influence on p120ctn Y335 phosphorylation, as well as the role of p120ctn Y335 phosphorylation on the association of p120ctn with E-cadherin and p120ctn membrane/cytoplasm translocation. In 197 samples collected from NSCLC patients, cytoplasmic p120ctn and enhanced p120ctn Y335 phosphorylation were associated with decreased PTP-PEST. After resistance induction using gefitinib, decreased PTP-PEST expression was accompanied by enhanced phosphorylation of p120ctn Y335 and p120ctn translocated to the cytoplasm. In gefitinib-resistant cells, PTP-PEST overexpression restrained p120ctn Y335 phosphorylation and restored membrane p120ctn expression. PTP-PEST enhanced the interaction of p120ctn with E-cadherin and elevated p120ctn membrane expression. However, increased p120ctn-Y335F mutant had no effect on p120ctn interaction with E-cadherin and membrane/cytoplasm translocation compared with the control group. In conclusion, resistance to first-generation TKIs inhibited PTP-PEST expression, which promoted p120ctn-Y335 phosphorylation and reduced the interaction of p120ctn with E-cadherin, resulting in p120ctn cytoplasmic translocation.

A wireless sensor network (WSN) eliminates physical cables and reduces the difficulty of structural information collection in a structural health monitoring (SHM) system. This paper present...

This paper reports a low-cost and versatile micro-basin array fabrication approach for single mammalian cell and single bacterial analysis. This approach is based on optical lithography, material sputtering, and lift off. The pitch, size, height, thickness, inclination angle and material type of the micro-basins can be adjusted controllably. The whole fabrication process does not require any strong chemical etching process and is environmentally friendly and cost-effective. Finite element analysis was applied to obtain optimal dimensions of micro-basins. Preliminary results show successful isolation of single bacterium within micro-basins. Ongoing work focuses on improving the isolation efficiency through hydrophobic and hydrophilic patterning.

Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large advantages in neuromorphic computing for visual information processing and complex learning, recognition, and memory in an energy-efficient way. However, electric stimulation is still essential for existing optoelectronic synapses to realize bidirectional weight-updating, restricting the processing speed, bandwidth, and integration density of the devices. Herein, a two-terminal optical synapse based on a wafer-scale pyrenyl graphdiyne/graphene/PbS quantum dot heterostructure is proposed that can emulate both the excitatory and inhibitory synaptic behaviors in an optical pathway. The simple device architecture and low-dimensional features of the heterostructure endow the optical synapse with robust flexibility for wearable electronics. This optical synapse features a linear and symmetric conductance-update trajectory with numerous conductance states and low noise, which facilitates the demonstration of accurate and effective pattern recognition with a strong fault-tolerant capability even at bending states. A series of logic functions and associative learning capabilities have been demonstrated by the optical synapses in optical pathways, significantly enhancing the information processing capability for neuromorphic computing. Moreover, an integrated visible information sensing memory processing system based on the optical synapse array is constructed to perform real-time detection, in situ image memorization, and distinction tasks. This work is an important step toward the development of optogenetics-inspired neuromorphic computing and adaptive parallel processing networks for wearable electronics.

As a primary nonpharmacological tool, exercise training is neuroprotective after experimental ischemic stroke by relieving neuroinflammation. However, the specific mechanism of which and anti-inflammatory effect of exercise at different intensities require in-depth investigations. To explore the issue, middle cerebral artery occlusion-reperfusion (MCAO-r) in mice were utilized, with subsequent exercise training at different intensities (high-intensity interval training versus moderate-intensity continuous training, i.e. HIIT vs. MICT) during an early phase post-modeling. The neurobehavioral assessment showed that MICT improved the performance of neurological deficit scores and rotarod test earlier, while HIIT appeared to be more efficacious to meliorate locomotor impairments and aerobic fitness at the end of intervention. Both exercise regimens inhibited the expressions of NLRP3 inflammasome components (NLRP3, ASC, and Cl.caspase-1) and pyroptosis-associated proteins (GSDMD, Cl.IL-1β, and Cl.IL-18) as indicated by western blot and immunofluorescence co-staining. Multiplex assay panel revealed that both exercise regimens reduced the levels of pro-inflammatory cytokines and upregulated anti-inflammatory cytokine. Furthermore, an increased proportion of M2-like microglia and a diminished proportion of M1-like microglia in the peri-infarct zone were observed by colocalization analysis, which was jointly validated by western blot. Here, for the first time, our study demonstrated that HIIT elicited better improvements at functional and cardiovascular levels than MICT after ischemic stroke, and anti-inflammatory effect of exercise might result from suppression in inflammasome-mediated pyroptosis by shifting microglial polarization toward neuroprotective M2 phenotype.

The aim of this study was to investigate the molecular mechanism of autophagy and apoptosis induced by cyclic mechanical stretch and the potential role of autophagy in stretch-induced apoptosis of myoblasts.Loading model of L6 myoblasts was established in vitro. The cells were then subjected to cyclic mechanical stretch involving 3 s of 15% stretch alternating with 3 s of relaxation. The cells were collected after mechanical stretch for 6 h, 12 h and 24 h, respectively. Control cells were cultured on the same plates without mechanical strain. Apoptosis of myoblasts was assessed by Hoechst 33258 staining and Annexin V binding and propidium iodide staining. Autophagy was determined by MDC staining and transmission electron microscopy(TEM). The level of proteins associated with apoptosis and autophagy was detected by Western blot. The data were analyzed with SPSS 17.0 software package.The results of Hoechst 33258 staining and Annexin V binding and propidium iodide staining indicated that mechanical stretch notably induced apoptosis of myoblasts. Caspase inhibitor z-VAD-fmk effectively abrogated apoptosis of myoblasts, indicating mechanical stretch induced caspase-dependent apoptosis. In addition, the results of TEM, MDC staining and Western blot proved that mechanical stretch elicited autophagy of myoblasts. Inhibition of autophagy using 3-MA enhanced caspase-dependent apoptosis induced by mechanical stretch.Cyclic mechanical stretch induced apoptosis and autophagy of myoblasts time-dependently. Protective autophagy, acting as the compensatory mechanism, inhibited caspase-dependent apoptosis induced by mechanical stretch.

Background: Hepatocellular carcinoma (HCC) is the cause of an overwhelming number of cancer-related deaths across the world. Developing precise and noninvasive biomarkers is critical for diagnosing HCC. Our research was designed to explore potentially useful biomarkers of host peripheral blood mononuclear cell (PBMC) in HCC by integrating comprehensive bioinformatic analysis. Methods: Gene expression data of PBMC in both healthy individuals and patients with HCC were extracted from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs). The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were applied to annotate the function of DEGs. Protein-protein interaction analysis was performed to screen the hub genes from DEGs. cBioportal database analysis was performed to assess the prognostic significance of hub genes. The Cancer Cell Line Encyclopedia (CCLE) and The Human Protein Atlas (HPA) database analyses were performed to confirm the expression levels of the hub genes in HCC cells and tissue. Results: A total of 95 DEGs were screened. Results of the GO analysis revealed that DEGs were primarily involved in platelet degranulation, cytoplasm, and protein binding. Results of the KEGG analysis indicated that DEGs were primarily enriched in focal adhesion. Five genes, namely, myosin light chain kinase (MYLK), interleukin 1 beta (IL1B), phospholipase D1 (PLD1), cortactin (CTTN), and moesin (MSN), were identified as hub genes. A search in the CCLE and HPA database showed that the expression levels of these hub genes were remarkably increased in the HCC samples. Survival analysis revealed that the overexpression of MYLK, IL1B, and PLD1 may have a significant effect on HCC survival. The aberrant high expression levels of MYLK, IL1B, and PLD1 strongly indicated worse prognosis in patients with HCC. Conclusions: The identified hub genes may be closely linked with HCC tumorigenicity and may act as potentially useful biomarkers for the prognostic prediction of HCC in PBMC samples.

Graphdiyne is a new two-dimensional carbon allotrope with many attractive properties and has been widely used in various applications. However, the synthesis of large-area, high-quality, and ultrathin (especially monolayer) graphdiyne and its analogues remains a challenge, hindering its application in optoelectronic devices. Here, a wafer-scale monolayer pyrenyl graphdiyne (Pyr-GDY) film is obtained on hexagonal boron nitride (hBN) via a van der Waals epitaxial strategy, and top-floating-gated multibit nonvolatile optoelectronic memory based on Pyr-GDY/hBN/graphene is constructed, using Pyr-GDY as a photoresponsive top-floating gate. Benefiting from the excellent charge trapping capability and strong absorption of the graphdiyne film, as well as the top-floating-gated structure and the ultrathin hBN film used in the device, the optoelectronic memory exhibits high storage performance and robust reliability. A huge difference in the current between the programmed and erased states (>26 μA μm-1 at Vds = 0.1 V) and a prolonged retention time (>105 s) enable the device to achieve multibit storage, for which eight and nine distinct storage levels (3-bit) are obtained by applying periodic gate voltages and optical pulses in the programming and erasing processes, respectively. This work provides an important step toward realizing versatile graphdiyne-based optoelectronic devices in the future.

Wireless sensor networks are becoming attractive data communication patterns in structural health monitoring systems. Designing and applying effective wireless sensor network–based structural health monitoring systems for large-scale civil infrastructure require a great number of wireless sensors and the optimal wireless sensor networks configuration becomes critical for such spatially separated large structures. In this article, optimal wireless sensor network configuration for structural health monitoring is treated as a discrete optimization problem, where parameter identification and network performance are simultaneously addressed. To solve this rather complicated optimization problem, a novel swarm intelligence algorithm called the automatic-learning firefly algorithm is proposed by integrating the original firefly algorithm with the Lévy flight and the automatic-learning mechanism. In the proposed algorithm, the Lévy flight is adopted to maximize the searching capability in unknown solution space and avoid premature convergence and the automatic-learning mechanism is designed to drive fireflies to move toward better locations at high speed. Numerical experiments are performed on a long-span bridge to demonstrate the effectiveness of the proposed automatic-learning firefly algorithm. Results indicate that automatic-learning firefly algorithm can find satisfactory wireless sensor network configurations, which facilitate easy discrimination of identified mode vectors and long wireless sensor network lifetime, and the innovations in automatic-learning firefly algorithm make it superior to the simple discrete firefly algorithm as to solution quality and convergence speed.

Plants play a very important role in our daily life providing us with food and oxygen. It is necessary to build an aut omatic system for recognizing plant Convolutional neural netw orks (CNNs) have become effective identification method especial ly in computer vision in recent years because they achieved outst anding performance on different tasks, such as image classificatio ns. In this paper, we have shown performance comparison of usin g the seven pretrained deep convolutional neural network(Alexne t, Googlenet, Resnet50, Resnet101, Inceptionv3, Inceptionresnetv 2, Squeezenet) that employed fine-tuning technique to retain the l ast three full connection layers and get the classication model. We applied our method to Cinnamomum Camphora leaf dataset clas sification,.the experimental results showed that the proposed met hod is quite effective and feasible.

Biodiesel is a renewable and environmentally friendly energy source. The use of biological wastewater treatment systems for excess sludge in the biodiesel production can achieve both sludge reduction and resource recovery. In this study, an in situ one-step method for producing biodiesel from excess secondary sludge was investigated; then the differences in both biodiesel yield and composition produced from the five industrial wastewater sludges and two municipal wastewater sludges were studied. The results showed that ultrasonic pretreatment of sludge was not necessary for biodiesel production by in situ acid-catalyzed transesterification. The addition of n-hexane during transesterification was significant to determine the performance of biodiesel production. Significant differences were found in yield and composition of the sludge lipid from seven different types of wastewater. The sludge oil of starch wastewater and restaurant wastewater was significantly higher than those of tannery wastewater, landfill leachate, and livestock wastewater, which was mainly due to the significant differences on wastewater quality and sludge microbial structure. The higher organic content (especially sugar), COD/TN and COD/TP ratios and better biodegradability in wastewater led to the dominance of Saprospiraceae and Anaerolineaceae, finally benefited the lipid accumulation in excess secondary sludge for biodiesel production.

Lignocellulosic crop wastes (LCW) are refractory solid wastes that are not biodegradable at appreciable rates in most environments, causing management of LCW been environmental concerns for years. This study investigated the feasibility of low waste emission complete LCW (rice straw (RS), rice husk (RH), and corn straw (CS)) recycling through feeding to Tenebrio molitor Linnaeus larvae (mealworms) using egested frass to produce organic fertilizers. For larvae fed RS, CS, and RH plus nutrients co-diets groups, the 48-day average specific rates of LCW consumption increased by 118.09%, 155.30%, and 87.14%, respectively when compared with that of sole diet groups. The order of the feed consumption rate and conversion rate in a mealworm farm fed on the three LCWs agreed with the trend obtained with lab-scale experiments, with RS＞CS＞RH. The forty-eight days cellulose, hemicellulose, and lignin biodegradation increased by 1.48–17.61%, 4.26–11.50%, and 4.20–15.75%, respectively, for co-fed larvae. Enterococcus sp. and Erwinia sp., which previous reports have indicated are strongly associated with lignocellulose degradation, were identified in the gut microbiome of mealworms fed with RS and CS co-diets. Furthermore, the RS-fed frass quickly formed a high-quality compost within 32 days of composting, which had a germination rate ratio of 8% and 17% higher than that of WB and CS-fed frass. LCA (life cycle assessment) proved a relatively promising environmental-friendly alternative to dispose of RS, using their excreted frass for composting with low waste emissions. This study provides new insight into insect-involved crop waste utilization, and economical strategies for sustainable in situ recycling of LCWs into high-value-added products.

A facile one-step pyrolysis method was employed to prepare an iron containing carbonaceous catalyst using coagulation waste (CW) from paper mill. The catalyst (noted as PMCW) was used to activate peroxymonosulfate (PMS) for decomposition of Reactive Red 2 (RR2). The degradation mechanism was analyzed by reactive oxygen species (ROS) scavenging experiments, electron spin resonance spectroscopy, electrochemical measurements, selective deactivation of the functional groups on the catalyst surface, X-ray photoelectron spectroscopy, and Fourier transform infrared spectroscopy. Results showed that, besides ROS (•OH, SO4•- and 1O2), electron transfer pathways induced by -OH functional groups and the π-π* system are involved in the degradation mechanism of RR2. Concerning different decomposition pathways, seven intermediates were identified, and three important steps, including attack on the azo group, cleaving the N9-C10 bond, and opening the naphthalene ring, were deduced via application and analysis of quadrupole time-of-flight liquid chromatography/mass spectrometry (QTOF LC/MS) and density functional theory (DFT) calculations based on Fukui indices and electrostatic potential (ESP) distributions. This work not only provides a novel facile recycling strategy of industrial waste from paper manufacturing to good carbonaceous catalysts but also deepens the understanding of the mechanisms of PMS activation with carbonaceous materials.

Granulation of nitrifying bacteria could achieve high biomass concentration in treatment system and result in the higher rate of ammonia oxidation and removal even under short hydraulic retention time. However, it is a major challenge to achieve granular sludge in nitrification stage. The addition of chemically synthetic N -acyl-homoserine lactones (AHLs) into bioreactors could enhance the attached-growth of nitrifying microorganisms from sludge and followed by sludge granulation, but it is not suitable for full-scale operations due to the high cost. In this study, cellular extract of AHLs from nitrifying granular sludge (NGS) was added into the nitrifying activated sludge to investigate the effect of the NGS cellular extract on the adhesion and granulation of autotrophic nitrifying sludge. The results indicated that NGS contained AHL molecules and the exogenous addition of the NGS cellular extract could improve the cell adhesion and aggregation. Moreover, addition of the NGS cellular extract increased the microbial activity, the concentration of extracellular proteins (PN) and the biomass of autotrophic nitrifying bacteria, which eventually contributed to the nitrifying sludge granulation. Addition of exogenous cellular-based AHL from NGS in the early start-up stage is a potentially promising approach for full-scale application of nitrifying sludge granulation with reduced cost.

The purpose of this work was to study the influences of Realgar-Indigo naturalis(RIF) and its principal element realgar on 4 main cytochrome P450 enzymes activities in rats. A simple and efficient cocktail method was developed to detect the four probe drugs simultaneously. In this study, Wistar rats were administered intragastric RIF and realgar for 14 days; mixed probe drugs were injected into rats by caudal vein. Through analyzing the pharmacokinetic parameter of mixed probe drugs in rats, we can calculate the CYPs activities. The results showed that RIF could inhibit CYP1A2 enzyme activity and induce CYP2C11 enzyme activity significantly. Interestingly, in realgar high dosage group, CYP3A1/2 enzyme activity was inhibited significantly, and different dosage of realgar manifested a good dose-dependent manner. The RIF results indicated that drug coadministrated with RIF may need to be paid attention in relation to drug-drug interactions (DDIs). Realgar, a toxic traditional Chinese medicine (TCM), does have curative effect on acute promyelocytic leukemia (APL). Its toxicity studies should be focused on. We found that, in realgar high dosage group, CYP3A1/2 enzymes activity was inhibited. This phenomenon may explain its potential toxicity mechanism.

The seawater system is a typical salt water system. A catalyst should overcome the disturbance from the salt ions for an efficient photodegradation of organic pollutants in the seawater system. Commercial photocatalysts (P25) and La3+-doped SiO2–TiO2 prepared using adsorbed-layer nanoreactor synthesis (ALNS) were first used for photodegrading different initial concentrations of phenol in seawater under weak UV light irradiation. The weak adsorption capacities for phenol and the hydrophilic surfaces of the two photocatalysts could not overcome the disturbance of salt ions and thus showed low photocatalytic activities. Based on this, graphene oxide (GO) was used as a support to prepare TiO2 and La3+-doped TiO2 using ALNS. The solvothermal treatment with alcohol was used as a solvent for both TiO2 crystallization and GO reduction. Results showed that TiO2 nanoparticles with sizes

Background Researchers have discovered a large number of DNA methylation patterns in human cancer. These cancer-specific methylation patterns can provide information for the diagnosis, treatment, and prognosis of cancer. Methylation studies can find new biomarkers based on epigenetic analysis and apply these biomarkers to clinical oncology. Many studies on the association between RAASF1A methylation status and susceptibility to hepatitis B virus (HBV)/hepatitis C virus (HCV)-induced hepatocellular carcinoma (HCC) have reached controversial conclusions. Hence, the current review comprehensively assessed the correlation between Ras association domain family 1A (RASSF1A) methylation and the risk of the HCV/HBV-induced HCC. Methods The appropriated publications were extracted in EMBASE, PubMed, Web of Science, Cochrane Library, and China National Knowledge Infrastructure databases using STATA 5.0 software. The odds ratios (ORs) with 95 % confidence interval (95 % CI) of RASSF1A methylation were computed. Results A total of 1015 HBV/HCV-related HCC samples, 124 non-HBV/HCV-related HCC (NBNC-HCC) samples, and 1225 nontumorous controls were extracted and examined in this research. The frequency of the methylated RASSF1A in the HBV/HCV-related tumor cases displayed a significantly increased OR compared with the overall nontumor samples (OR = 19.372, 95 % CI = 11.060–33.931, P = 0.000). The frequency of the methylated RASSF1A in HBV/HCV-related neoplasm cases displayed a significantly increased OR compared with the non-HBV/HCV-related neoplasm (NBNC-neoplasm) samples (OR = 2.150, 95 % CI = 1.398–3.308, P = 0.000). Compared with normal, chronic hepatitis B or C, cirrhosis, and paracancerous samples, the pooled OR of the RASSF1A promoter methylation in the HBV/HCV-induced HCC samples was 62.785(95 % CI = 35.224–111.909), 25.07 (95 % CI = 13.85–45.36), 6.89 (95 % CI = 3.33–14.264) and 9.02 (95 % CI = 0.91–89.80), respectively. The rate of RASSF1A hypermethylation was robustly correlated with tumor size and vascular invasion, and the pooled OR was 0.346 (95 % CI = 0.210 – 0.569) and 0.081 (95 % CI = 0.022 – 0.303), respectively. Conclusion Results showed robust associations between RASSF1A gene methylation in promoter region and enhanced HBV/HCV-related HCC susceptibility, thereby revealing that RASSF1A methylation status may serve as an important indicator for HCC oncogenesis.

This study was aimed to figure out the way that cyclic-stretch influenced the apoptosis of myoblasts and evaluate the importance of PERK and its possible mechanism involved.L6 rat myoblasts were cultured in vitro and mechanical stimulation model was constructed successfully. The myoblasts were imposed tension for 0, 2, 6, 12 and 24 hours respectively by multi-channel cell stress loading system. The force value was 15% cell deformation and the frequency was 10 cycles/min. Each cycle was consisted of stretch for 3 seconds and relaxation for 3 seconds, and the group without tension was used as the control group. The apoptotic myoblasts were dyed by DAPI and observed through fluorescence microscopy to detect the apoptosis rate; the mRNA levels of PERK and CHOP in different groups were detected by real-time PCR and protein levels of PERK and p-PERK in different groups were detected by Western blot. PERK inhibitor was used to clear the role of PERK in apoptosis induced by cyclic-stretch and clarify the relationship between the endoplasmic reticulum stress and apoptosis induced by cyclic-stretch. SPSS 17.0 software package was used to analyze the data statistically.DAPI nuclear stain showed that cyclical tensile stress can induce apoptosis in vitro cultured myoblast. Apoptosis rate showed a trend of rising gradually over time, peaked at 24 h. After dealt with the inhibitor of PERK, the apoptosis rate of the 24 h group under the cyclic stretch showed no difference compared with the control. The results of real- time PCR showed that the mRNA of CHOP was increased with the extension loading time, while the mRNA of PERK showed no difference compared with the control. Western blot results showed that the protein level of p-PERK was increased with the extension of loading time, while the expression of PERK showed no difference compared with the control group. When PERK inhibitor added, the mRNA level of CHOP along with the protein expression level of p-PERK showed no significant difference compared to the control.PERK signaling pathway is involved in the apoptosis of myoblasts induced by cyclic stretch, and the possible mechanism may be closely related to the phosphorylation of PERK.