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The Wnt/β-catenin signaling pathway is a classical Wnt pathway that regulates the stability and nuclear localization of β-catenin and plays an important role in adult heart development and cardiac tissue homeostasis. In recent years, an increasing number of researchers have implicated the dysregulation of this signaling pathway in a variety of cardiac diseases, such as myocardial infarction, arrhythmias, arrhythmogenic cardiomyopathy, diabetic cardiomyopathies, and myocardial hypertrophy. The morbidity and mortality of cardiac diseases are increasing, which brings great challenges to clinical treatment and seriously affects patient health. Thus, understanding the biological roles of the Wnt/β-catenin pathway in these diseases may be essential for cardiac disease treatment and diagnosis to improve patient quality of life. In this review, we summarize current research on the roles of β-catenin in human cardiac diseases and potential inhibitors of Wnt/β-catenin, which may provide new strategies for cardiac disease therapies.

Additional file 4: Supplementary material 4. The details of multi-omics analysis.

Additional file 1. Fig. S1. Cellular uptake of the DOX or ZnO/DOX in the DOX-sensitive cancer cells and DOX-resistant MDR cancer cells after 1 h incubation, determined by flow cytometry. Mean fluorescence intensity of the flow cytometry data. Fig. S2. Confocal microscopic images of cellular internalization of the DOX or ZnO/DOX in the MDA-MB-231 and NCI/ADR-RES cells after 1 h incubation. Cell nuclei were stained by Hoechst. The scale bar is 100 μm. Fig. S3. Uptake of the DOX, ZnO/DOX, or ZnO + DOX mixture after 1 h incubation with the MDR cancer cells, determined by flow cytometry. MFI, mean fluorescence intensity. Fig. S4. Cytotoxicity of the DOX, ZnO NPs, and ZnO/DOX in DOX-sensitive cancer cells and DOX-resistant MDR cancer cells. Cell incubation time: 24 h. Fig. S5. Mitochondrial membrane potential after 1 h or 24 h treatments, determined by the JC-1 assay. The decrease in the JC-1 aggregate/monomer ratio indicates the mitochondrial depolarization. Confocal microscopic images of the JC-1 staining after 4 h treatments. The scale bar is 50 μm. Fig. S6. The C/EBP Homologous Protein levels after 24 h treatments, determined by a CHOP ELISA kit. Cell line: NCI/ADR-RES cells. Fig. S7. Drug penetration through the MDA-MB-231 and NCI/ADR-RES cell spheroids after 4 h incubation, determined by confocal microscopy. The scale bar is 200 μm. The right panel is the curves of the normalized mean fluorescence intensity vs the distance from the spheroid bottom to the top. Fig. S8. Synthetic scheme of the PEG-pp-PE.TLC chromatograms of the PEG-pp and PEG-pp-PE.1H NMR spectrum of the PEG-pp-PE. Fig. S9. Mean particle sizes of the ZnO/DPPG/PEG-pp-PE/DOX upon the incubation with HBSS or HBSS containing 10% FBS for 72 h. Particle sizes were measured by dynamic light scattering. Fig. S10. Digital photographs of the ZnO/DPPG/PEG-PE/DOX and ZnO/DPPG/PEG-pp-PE/DOX with the MMP2 incubation for 12 h. Particle sizes of the ZnO/DPPG/PEG-pp-PE/DOX with/without the MMP2 pretreatment, determined by dynamic light scattering. Fig. S11. Cellular uptake of the DOX-loaded ZnO-based NPs in the MDR cancer cells after 1 h incubation, determined by flow cytometry. MFI, mean fluorescence intensity. Confocal microscopic images of the cellular internalization of ZnO/DPPG/PEG-PE/DOX and ZnO/DPPG/PEG-pp-PE/DOX with or without the MMP2 pretreatment after 1 h incubation with the MES-SA/Dx5 cells. Cell nuclei were stained by Hoechst. The scale bar is 100 μm. Data were expressed as the mean ± SD, **p < 0.01; ***p < 0.001. Fig. S12. Morphology of the NCI/ADR-RES cell spheroids after treatments. The scale bar is 200 μm. Fig. S13. Cytotoxicity of the DOX-loaded ZnO-based NPs with/without the MMP2 pretreatment after 24 h incubation with the MDR cancer cells. Data were expressed as the mean ± SD, **p < 0.01; ***p < 0.001.

We discovered that vitiligo was associated with sexual dysfunction in clinical diagnosis and treatment; however, no further analysis had been performed due to a lack of data. This study aimed to clarify the relationship between vitiligo and sexual dysfunction. We searched six databases (PubMed, Embase, Cochrane, China National Knowledge Infrastructure, China Science and Technology Journal, and Wanfang Data Knowledge Service Platform) for nearly 40 years. According to the search strategy, 91 relevant studies were retrieved, of which 4 were included in the analysis. The Arizona Sexual Experience Scale (ASEX) score (mean difference [MD] 4.96, 95% confidence interval [CI] 2.78–7.13, p < 0.00001) was higher in the vitiligo group than in the control group. The Arabic version of the Female Sexual Function Index (AVFSFI) score (mean difference [MD] − 3.40, 95% confidence interval [CI] − 5.49 to −1.31, p = 0.001) was lower in the vitiligo group than in the control group. Patients with vitiligo were found to be at greater risk of sexual dysfunction. Moreover, the association between vitiligo and sexual dysfunction was stronger in women than in men.Key MessagesPatients with vitiligo were found to be at greater risk of sexual dysfunction.The association between vitiligo and sexual dysfunction was stronger in women than in men. Patients with vitiligo were found to be at greater risk of sexual dysfunction. The association between vitiligo and sexual dysfunction was stronger in women than in men.

Additional file 1: Table S1. Longitudinal of QoL scores using SF-36 and FACT-BMT at each time post-HSCT. Table S2. Stratified analysis of QoL between HID and MSD patients in GVHD and no-GVHD groups.Table S3.Stratified analysis of QoL between HID and MSD patients in CMV and no-CMV reactivation groups.

Vaginal adhesions and stenosis are infrequent long-term sequelae following pediatric pelvic fractures. Patients may not present with signs and symptoms before menarche, leading to delayed diagnosis and treatment. We report an adolescent girl who presented with a post-abdominal trauma pelvic fracture and urethrovaginal fistula and subsequent severe vaginal adhesion, which resulted in infection and obstructive symptoms after menarche. Hysteroscopy-guided vaginal adhesion release using an epidural catheter and ultrasonography was performed, followed by vaginal dilation, to resolve obstructive symptoms. For girls with pelvic fractures, education on possible long-term sequelae is required, as is regular follow-up. Timely diagnosis and treatment are important, and hysteroscopic release of vaginal adhesion and postoperative regular vaginal dilation may be an effective treatment.

Fritillaria, a traditional Chinese herbal medicine, is classified into many medicinal species and contains numerous complex components. It is thus difficult to simultaneously detect multiple pesticide residues in different Fritillaria species. An easy, reliable, and widely applicable analytical method based on a modified Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) method coupled with LC-MS/MS was developed to solve these problems encountered during pesticide residue analysis in complex Fritillaria matrices. Ordered mesoporous carbon CMK-3 and a primary secondary amine (PSA) were used as efficient purification sorbents by optimization of the QuEChERS process. Systematic method validation was performed for four species of Fritillaria. The matrix effect of pesticides varied among different Fritillaria species, and matrix-matched standard solutions were thus employed for quantitative analysis. The mean recoveries of all pesticides ranged from 88.6% to 95.5%, with mean relative standard deviations (RSD) lower than 6% at spiked concentrations of 30, 120, and 240 μg kg−1. The limits of quantification (LOQ) for the developed method were in the range of 30–120 μg kg−1. This method was further used to analyze 47 Fritillaria samples from Zhejiang province, China, and seven pesticides were detected in 22 Fritillaria samples. These results demonstrate that the developed method is suitable for an accurate analysis of multiple pesticide residues in various Fritillaria.

The Sichuan–Tibet Railway crosses through the largest maritime glacier region in China. A large number of moraines formed after the rapid glacial retreat caused by climate warming. Moraines could induce frequent geological hazards that seriously threatened the safe construction and operation of the railway. Accordingly, moraines in this maritime glacier region have become a new challenging research topic with respect to the formation of geological hazards. Using remote-sensing image interpretations, field investigations, and dating tests, moraines and their topographic information were systematically obtained. After analyzing the geometrical distribution characteristics of the moraine accumulations, the geometrical characteristics of three typical moraine accumulation forms were generalized into corresponding mathematical models. Consequently, a method to quickly and quantitatively estimate the moraine reserves is proposed. The moraine distribution is primarily affected by the elevation, slope, river–valley morphology, and climate conditions. Old moraines that formed in the Pleistocene epoch (the Guxiang and Baiyu glacial periods) are primarily distributed below 3,500 m above sea level, while most of the new moraines that formed in the Holocene epoch (Neoglaciation and Little Ice Age) are primarily distributed above 4,000 m above sea level. Both the new and old moraines are primarily distributed within a slope range of 10–30°. Furthermore, the main river–valley morphology has a significant impact on the distribution of the old moraines, which are primarily distributed in the Zhongba–Guxiang section of the river valley where the longitudinal slope is relatively gentle. The difference in glaciation is the main reason why the new moraines distributed on the south banks in the study area are different from those on the north banks and why those distributed upstream are different from those distributed downstream. In addition, moraines are the main source of glacial debris flows. According to the presented method, the loose moraine reserves can be accurately calculated by analyzing the position, consolidation, and supply capability of the new and old moraines in each debris flow gully. It is anticipated that the presented results can be used to better understand the formation mechanisms of glacier-related hazards and improve risk assessments.

The modeling of parallel-pipeline is a difficult work in engineer field duo to long distance complex pipelines. Vibration analysis of pipeline can become prohibitive due to high computational time associated with large number of degrees of freedom. Thus, the efficient model reduction technique to analyze the vibration characteristics of pipeline system is challenging for designers. The objective of this paper is to propose a reduced order modeling method of parallel-pipeline with multi-supports. Considering the constraint interface stiffness at the elastic support and the coupled fluid-structure pipeline system, a novel reduced order model is obtained by assembling the reduced substructure element. Modal analysis is performed for parallel-pipeline system, and the calculation results for reduced order model are compared with the full finite element model. The obtained results indicate that the natural frequencies and mode shapes of the reduced order model are consistent with full finite element model. Moreover, an interesting phenomenon is obtained that the fluid velocity in one of parallel-pipeline can decrease the natural frequencies of another pipeline. The proposed model can obtain sufficient calculation accuracy and higher calculation efficiency, which can provide insight and guidance for engineers in aircraft.

Additional file 1: Table S1. Summary information for studies about the associations of social isolation with all-cause mortality (from Jan 2015 to May 2021). Table S2. The missing percent of the variables in the cohort. Table S3. Associations of social isolation with cause-specific mortality using competing risk model (Fine-Gray’s model). Table S4. Associations of social isolation with all-cause and cause-specific mortality with additional adjustment for psychological factors† in the subgroup (n=19,947). Table S5. Associations of social isolation with all-cause and cause-specific mortality by sex (men, women) †. Table S6. Associations of social isolation with all-cause and cause-specific mortality by age group (< 60 years, ≥60 years) †. Table S7. Associations of social isolation with all-cause and cause-specific mortality by education group (≤ primary, ≥ middle school) †. Table S8. Associations of social isolation with all-cause and cause-specific mortality by health status (poor/very poor, good/very good) †. Table S9. Associations of face-to-face and non-face-to-face contact with all-cause mortality after mutual adjustment of 3 types of contact. Table S10. Associations of social isolation with all-cause mortality in original dataset (without excluding 244 death within first 2 years). Figure S1. Kaplan–Meier survival curve by four types of social isolation assessed at baseline examination (2003-2008) for all-cause mortality in 30,430 participants. Figure S2. Kaplan–Meier survival curve by four types of social isolation assessed at follow-up examination (2008-2012) for all-cause mortality in 18,104 participants.

Additional file 1: Supplementary Table 1. The four types of social isolation question and thescoring criteria for the composite social isolation score. Supplementary Table2. The Chinese version of four types of social isolation question and thescoring criteria for the composite social isolation score. Supplementary Table3. Associationof hearing loss with depressive symptoms (GDS-15 score ≥8). Supplementary Table4. Association of hearingloss with depressive symptoms after excluding participants with hearing aids (n=20).

High-precision relative position and attitude measurement is crucial for consensus control and collision avoidance in multi-CubeSat formation flying. However, the traditional relative navigation systems comprise many sensors and are not suitable for CubeSats due to large volume, complexity, and cost. In this paper, we propose a new approach, called Multi-CubeSat relative State determination by Array Signal detection (MUSAS). The approach utilizes the existing communication systems and antenna arrays on CubeSats without the need of extra components. In MUSAS, deputy vehicle (DV) CubeSats in a formation broadcast orthogonal spread spectrum signals simultaneously. Two chief vehicle (CV) CubeSats receive and separate the signals and extract the multiple-input multiple-output channel response of each DV CubeSat. Then, by utilizing the bi-directional spatial spectrum estimation, the angles-of-arrival and angles-of-departure of the propagation paths from each DV CubeSat to the CV CubeSats are estimated. Finally, the attitudes and positions of all DV CubeSats relative to the CV CubeSats are determined using the derived rotation matrices. We have theoretically proved the proposed MUSAS algorithm and performed extensive simulations to compare its performance with existing methods. Furthermore, we also developed the testbed of MUSAS and conducted field experiments. The simulation and experiment results have verified that, by exploiting the spread spectrum gain and antenna array gain, MUSAS can achieve high accuracy in relative state determination, even using small antenna arrays and low transmission power.

Purpose: Currently, formalin-fixed paraffin-embedded (FFPE) tissue specimens are the conventional material for gene testing for non-small cell lung cancer (NSCLC) patients. In our study, we aimed to develop a quick gene testing procedure using fresh core needle biopsy samples from NSCLC patients.Methods: In total, 77 fresh NSCLC samples obtained from core needle biopsy were evaluated by frozen section examination. If the NSCLC diagnosis and adequate tumor cell counts were confirmed by histopathology, the fresh tissues were used to extract DNA and subsequent gene testing by ARMS-PCR. Meanwhile, the paired FFPE core needle biopsy samples from 30 NSCLC patients also underwent gene testing.Results: In total, 77 fresh samples showed an EGFR mutation rate of 61.0%, higher than the levels in the Asian. Following a comparison of gene testing results with fresh tissues and paired FFPE tissues from the 30 patients, no significant difference in the DNA concentration extracted from fresh tissues and FFPE tissues was found. However, DNA purity was significantly higher in fresh tissues than that in FFPE tissues. Gene testing detected the same gene mutations in 93.3% of cases in fresh tissues and paired FFPE tissues. The gene testing procedure using fresh biopsy samples greatly shortens the waiting time of patients.Conclusion: The multi-gene mutation testing using fresh core needle biopsy samples from NSCLC patients is a reasonable, achievable, and quick approach. Fresh tissues may serve as a potential alternative to FFPE tissues for gene testing in NSCLC patients.

The plant U-box (PUB) gene family, one of the major ubiquitin ligase families in plants, plays important roles in multiple cellular processes including environmental stress responses and resistance. The function of U-box genes has been well characterized in Arabidopsis and other plants. However, little is known about the tea plant (Camellia sinensis) PUB genes. Here, 89 U-box proteins were identified from the chromosome-scale referenced genome of tea plant. According to the domain organization and phylogenetic analysis, the tea plant PUB family were classified into ten classes, named Class I to X, respectively. Using previously released stress-related RNA-seq data in tea plant, we identified 34 stress-inducible CsPUB genes. Specifically, eight CsPUB genes were expressed differentially under both anthracnose pathogen and drought stresses. Moreover, six of the eight CsPUBs were upregulated in response to these two stresses. Expression profiling performed by qRT-PCR was consistent with the RNA-seq analysis, and stress-related cis-acting elements were identified in the promoter regions of the six upregulated CsPUB genes. These results strongly implied the putative functions of U-box ligase genes in response to biotic and abiotic stresses in tea plant.

Ecosystem engineers are organisms that alter the distribution of resources in the environment by creating, modifying, maintaining and/or destroying the habitat. They can affect the structure and function of the whole ecosystem furthermore. Burrowing engineers are an important group in ecosystem engineers as they play a critical role in soil translocation and habitat creation in various types of environment.However, few researchers have systematically summarized and analyzed the studies of burrowing engineers. We reviewing the existing ecological studies of burrowing engineer about their interaction with habitat through five directions: (1) soil turnover; (2)changing soil physicochemical properties; (3) changing plant community structure; (4) providing limited resources for commensal animals;and/or (5) affecting animal communities. The Chinese pangolin (Manis pentadactyla) is a typical example of burrowing mammals, in part (5), we focus on the interspecific relationships among burrow commensal species of Chinese pangolin. The engineering effects vary with environmental gradient, literature indicates that burrowing engineer play a stronger role in habitat transformation in the tropical and subtropical areas.The most common experiment method is comparative measurements (include different spatial and temporal scale),manipulative experiment is relatively few. We found that most of the engineering effects had positive feedback to the local ecosystem, increased plant abundance and resilience, increased biodiversity and consequently improved ecosystem functioning. With the global background of dramatic climate change and biodiversity loss in recent decades, we recommend future studies should improving knowledge of long-term engineering effects on population scale and landscape scale, exploring ecological cascades through trophic and engineering pathways, to better understand the attribute of the burrowing behavior of engineers to restore ecosystems and habitat creation. The review is presented as an aid to systematically expound the engineering effect of burrowing animals in the ecosystem, and provided new ideas and advice for planning and implementing conservation management.

An integrated QuEChERS strategy was developed by combining the extraction and purification processes into a single step. All of the pretreatment procedures could be performed in one tube within 5 min with the aid of magnetic nanoparticles and careful optimization of the key parameters, including the dosages of the sorbents (magnetic nanoparticles, C18, and graphitized carbon black), dehydrating and salting out reagents. The optimal method was validated and compared with the conventional QuEChERS method, demonstrating its clear superiority in terms of operating procedure, sample pretreatment time, and reagent dosages while affording equivalent pesticide recoveries and matrix effects. Further application of this method was performed to analyze 127 pesticide residues in solanaceous vegetables (tomato, pepper, and eggplant), leafy vegetables (brassica campestris and cabbage), legumes (green beans and cowpea), melon-type vegetables (cucumber and towel gourd), and a root vegetable (water bamboo), with the mean recoveries of the pesticides in the individual vegetable samples ranging from 70.6 to 92.8%. The method LOQs for these pesticides ranged from 10 to 50 μg/kg depending on the matrix. These results fully confirmed its wide applicability and versatility for achieving robust, rapid, and high-throughput multi-pesticide residues analysis in vegetable samples. More importantly, the developed strategy provides a greener and more “QuEChERS” design concept, which could be applied to the analysis of numerous types of pesticide residues in various matrices.

The service performance and life of the aero-engine are directly affected by the blade machining accuracy. In the end milling of the flexible blade, the profile tolerance would usually be violated by the deflection errors induced by excessive static deformations under the action of milling force. In order to predict the blade deflection errors, this paper presents an iterative algorithm considering the coupling relationship between milling force and elastic deformation based on the milling finite element simulation model. Then a novel multipoint rod-shaped auxiliary support technology is proposed to suppress the blade deflection errors. Taking the influence of layout parameters on blade deflection errors into account, the layout of auxiliary support is optimized by a genetic algorithm. To verify the effectiveness of the proposed method, an auxiliary support mechanism is designed and manufactured, and the deflection errors suppression experiment is implemented. The measured results show that the prediction error of blade maximum deflection is 17.6%. Furthermore, the blade average deflection error on two measured curves reduces from 45.88 μm to 24.39 μm with the support of the designed mechanism. Thus, this auxiliary support mechanism and layout optimization method can achieve higher accuracy in blade milling.

By rationally introducing multi-interactions sites, supramolecular polymer networks (SPN-TDPG) has been successfully designed and constructed. SPN-TDPG gel shows aggregation-induced emission, meanw...

A novel mushroom-like electrochemical immunoassay for the ultrasensitive detection of histone acetyltransferase activity (HAT p300) has been established on account of the new composite graphene oxide (GO) nanolayer. The immunoassay involves immobilization of substrate peptide onto Au electrode, acetylation in lysine of substrate peptide, and the interaction between acetyl group of lysine and acetyl-antibody (AbAc) of the GO nanolayer. The GO nanolayer comprises large amounts of methylene blue molecules (MB), giving rise to large signal amplification. Only in the presence of HAT p300, an obvious electrochemical signal appears and the peak linear current is proportion to the HAT p300 concentrations ranging from 0.01 to 150 nM with a detection limit of 0.0036 nM. The great enhancement on sensitivity of the proposed mushroom-like immunosensor derives from both the constructed Faraday cage and the extended outer Helmholtz plane (OHP). Further, the immunosensor with excellent sensitivity and selectivity can be applied for the HAT p300 activity detection in Hela cell lysates, serum and urine, hinting an improved and splendid analytical performance. Briefly, this stable, simple and ultrasensitive electrochemical immunoassay has considerable promise for further applications in the HATs-interrelated epigenetic studies and drug development.

It is noteworthy that highly selective molecular recognition endows host-guest gels, especially hydrogel, with valuable properties. Therefore, in pure water, a supramolecular hydrogel (SH-α-CD) was constructed by using benzimidazolium-based positive charged guest molecule (J2) assembled with cyclodextrin (α-CD) through host-guest interaction, and accompanied an aggregation-induced emission (AIE). The self-assemble process of the hydrogel-based AIEgen was investigated using 1H NMR titration, 2D NOESY, XRD and SEM. In particular, the hydrogel-based AIEgen was investigated as a good candidate for fluorescent quenching and gel state destruction dual-channel recognizing negative charged dye molecule methyl orange (MO). The competitive inclusion interaction triggered the dissolution of aggregate, which induced the gel to transform into sol, with disappearance of the AIE of SH-α-CD. However, the addition of the competitive dye molecules methylene blue (MB) and xylenol orange (XO) only made the fluorescence quenching of hydrogel-based AIEgen. Meanwhile, the hydrogel-based AIEgen also exhibited an excellent thermal responsiveness under temperature transition. Such a performance is highly beneficial for potential applications in probe material for organic dye molecules.

s High crystalline Na2Ni[Fe(CN)6] particles are synthesized by a new electrostatic spray assisted coprecipitation method. Their structures and electrochemical properties are analyzed by X-ray powder diffraction, scanning electron microscopy and galvanostatic cell cycling and so on. Given its highly stable structure, the optimized Na2Ni[Fe(CN)6] cathode shows impressive cycling performance with high retention capacity of 89% after 440 cycles at 1 C and excellent rate capability of 56 mAh g−1 at 25 C. In addition, the optimized Na2Ni[Fe(CN)6] cathode achieves superior low temperature performances with retains 87% capacity after 440 cycles at 0 °C and a stable capacity of 54 mAh g−1 can be delivered even at −25 °C after 440 cycles. Such a Na2Ni[Fe(CN)6] sample provides a promising cathode for sodium-ion batteries in large-scale storage systems.

Shape memory hydrogels with capacity of shape deformation after being triggered by physiological stimuli have potential to be used in biomedical fields. In this study, a body temperature and water-responsive shape memory hydrogel with excellent mechanical properties was prepared by crosslinking dopamine-terminated tetra-poly(ethylene glycol) (4-arm PEG) with an oxidation reaction. By adjusting the water content of hydrogels, the temperature/water responsivity and the mechanical properties could be well controlled. Under the synergistic effect of body temperature and water stimulation, the hydrogels can achieve fast shape recovery with a recovery time of 1 min 14 s, and a recovery ratio of 98.9%. Tensile tests reveal that the gel has good mechanical properties. The tensile fracture strength can reach the megapascal level ranging from 2.68 to 13.02 MPa, and the elongation at break can reach 2501%. The integration of body temperature and water-induced shape memory properties and mechanical properties will broaden the application of the 4-arm PEG hydrogel in the biomedical field.

Herein, a novel way to design and construct multi-functional spongy supramolecular polymer gels through an easy to make tripodal guest (TA) and a naphthalimide functionalized-pillar[5]arene host (AP5) has been developed. According to this approach, a novel pillar[5]arene-based supramolecular polymer gel (SHG) was constructed via multi-non-covalent interactions such as host-guest inclusion, C-Hπ, ππ and hydrogen bonds and so on. Interestingly, the SHG exhibits a spongy structure and strong aggregation induced emission (AIE). Furthermore, the SHG also exhibited multi-responsiveness toward outer stimuli such as heating-cooling, pH, competitive agents and mechanical. More importantly, the SHG xerogel shows separation properties for Fe3+, methyl orange, methylene blue and sudan I dyes. The separation rates of SHG xerogel for Fe3+ ions and organic dyes can reach up to 99.8%. Simultaneously, the SHG could ultrasensitively detect Fe3+ (LOD is 0.9 nM). In addition, a thin film based on SHG was also prepared, which was confirmed to be a convenient test kit for detecting Fe3+.

Manufacturing Service is an important part of PSS. However, production process in manufacturing service changes frequently, and this has greatly reduced the productivity and agility. Therefore, this paper proposes a message-driven workflow to fit the production process. The framework of message-driven manufacturing execution workflow includes: Manufacturing Execution Workflow module(MEW), Instant Messaging Server (IMS) and Instant Messaging Client (IMC). The function of MEW is mainly used to generate a request message for an operation event, which is generated in executing workflow transaction operations by a related role. The main function of IMS is to complete the message push mechanism. The IMC is used to receive the message transmitted by the instant message server, and users corresponding to the relevant role can process the message in workgroups. This paper proposes a mechanism for message-driven manufacturing execution workflow. This mechanism packages the tasks generated in the MEW through the custom Manufacturing Transaction Protocol (MTP) and Instant Messaging Protocol (IMP), and sends them to the process participants in the IMC to drive the execution of the entire process. On the one hand, the mechanism can integrate with ERP to improve the efficiency of business processing. On the other hand, as a workflow product, it can solve the business diversity or reconstruction problems that occur in enterprises.

Efficient detection of explosives (e.g. picric acid) and toxic compounds (e.g. cyanide) is an important task. Herein, we report a simple and efficient method for the selective and sensitive detection of picric acid (PA) and CN−via a novel guest competitive controlled aggregation-induced emission (AIE) method. First, a tripodal host compound (TG) based on a tris-naphthalimide derivative was designed and synthesized. The TG can self-assemble to a supramolecular system and show blue AIE. Then, we employed the TG-based supramolecular system as a novel supramolecular sensor (S-TG). Interestingly, S-TG could selectively detect PA through a competitive binding interaction, and the detection limit (LOD) of S-TG for PA is 1.19 × 10−8 M. In this process, the self-assembly of S-TG was destroyed and a TG and PA complex (TG–PA) was produced, meanwhile, the AIE of S-TG was quenched. More interestingly, TG–PA could act as a novel supramolecular sensor for the AIE fluorescent ‘turn-on’ detection of CN−, and the LOD of TG–PA for CN− is 7.45 × 10−7 M. Moreover, PA and CN− test kits were prepared by loading S-TG or TG–PA on silica gel plates. These test kits could conveniently and efficiently detect PA or CN− with high selectivity and sensitivity.

The manufacturing process plays an important role in the Product-Service Systems(PSS). As a significant part of manufacturing process, Manufacturing Execution System (MES) controls the whole manufacturing process. MES supporting access to service-oriented devices provides data basis for the information of manufacturing enterprises. Agent-based MES proposed in this paper supports the bidirectional transmission of device data, which solves the problem of complex integration of traditional devices and difficulty in manufacturing data interaction between various systems. The service of devices integration based agent technology provides functions such as device registration, device search, device control, and real-time data acquisition for MES, and uses message queues and industrial gateways to decouple device control and MES. As a bridge for data interaction between MES and devices, the service of devices integration is a possible basis for ensuring data interaction between devices and upper management systems. The framework was demonstrated through a real-time metrology workshop case in the coatings industry.

A novel supramolecular aggregation induced emission (AIE) π-gel (ONT) was constructed by using a functionalized trimesic amide (TCP) molecule assembled with a bis-pyridine functionalized naphthalene diimide (ND) molecule using a non-covalent interaction. The ONT showed strong AIE at 468 nm. Furthermore, the ONT could detect and adsorb ferric (Fe3+) or cupric (Cu2+) ions from water. Meanwhile, a thin film based on supramolecular AIE π-gel ONT was prepared, which could be used as a fluorescent security display material for detecting Fe3+ or Cu2+. Thus, the AIE π-gel ONT shows potential for practical applications in efficient multi-analyte detection and separation and as a fluorescent display material.

Prussian blue analogues are considered as the promising cathodes for sodium-ion batteries. Since the electrochemical properties are closely related to the morphology, the monodisperse copper hexacyanoferrate nanoflakes with highly crystalline are synthesized by a glycol-assisted coprecipitation method and a tentative synthetic mechanism is proposed to explain the formation of nanostructures. The structure and electrochemical properties are characterized by X-ray photoelectron spectroscopy, FTIR spectra and galvanostatic cycle tests, respectively. Due to the novel architecture of copper hexacyanoferrate, a high electrochemical activity is obtained, resulting a high initial coulombic efficiency of 93%, a capacity retention of 73% at 1 C after 300 cycles and 51 mAh g −1 is maintained at high rate of 15 C at 25 °C.

For SMEs, intelligent manufacturing execution is an important part of perfecting PSS. the business requirements of small and medium-sized manufacturing enterprises vary greatly, and system development and maintenance are facing enormous challenges. However, the existing manufacturing execution system can not quickly respond to the requirements of business reconfiguration. Aiming at the current requirements of manufacturing execution system of SME, and with the development of enterprise in cloud manufacturing, this paper proposes a manufacturing cloud platform application research for small and medium-sized manufacturing enterprises based on micro-service architecture. In this research we have introduced the design of platform’s micro-service architecture and the implementation of platform-based business system. It can solve the problems of business expansion and user requirement cannot be quickly respond caused by the huge application of traditional monolithic architecture. It provides an effective support for the development of business systems.

Herein, we report two novel approaches for highly sensitive detection and efficient adsorption of formaldehyde and 3-fluorobenzaldehyde by forming a water-soluble supramolecular polymer and an aggregation-induced emission enhancement (AIEE) hydrogel, respectively. The host compound DTA could highly selectively and sensitively detect formaldehyde by forming a water-soluble supramolecular polymer in pure water. The LOD of DTA for formaldehyde was 1.79 × 10−8 M. More importantly, DTA could also efficiently adsorb formaldehyde from its water solution, and the adsorption percentage was 98.41%. In addition, DTA could also selectively detect 3-fluorobenzaldehyde from its isomers by forming a supramolecular AIEE hydrogel. The LOD of DTA for 3-fluorobenzaldehyde was 8.87 × 10−9 M; this result reached an ultrasensitive level. These methods are novel and useful approaches for highly sensitive detection and adsorption of aldehydes, as well as new ways for the construction of water-soluble supramolecular polymer materials and hydrogels.

An efficient, highly sensitive and selective electrochemical sensor was developed for determination of fenitrothion in tap water, cropland water and canal water samples. The synthesized reduced graphene oxide (RGO) and molybdenum sulfide (MoS2)-Au were introduced using their synergetic enhancement effect to improve the sensor sensitivity. Zirconia (ZrO2) nanoparticles were electro-deposited onto modified gold electrode to selectively adsorb fenitrothion, which can be further captured by cyclic voltammetry or square wave voltammetry on the basis of its redox behavior of nitrobenzene group. The immobilization process was characterized by electrochemical impedance spectroscopy, illustrating the enhancement of RGO/MoS2-Au composite and the successful electro-deposition of ZrO2. Systematical method validation was performed including linearity, sensitivity, selectivity, reproducibility, regeneration and stability. The current is linearly correlated with the fenitrothion concentration from 5.0 to 600 ng mL−1 with the limit of detection of 2.2 ng mL−1. The developed electrochemical sensor displayed satisfactory performance in real water samples analysis.

Background: The worldwide surge in coronavirus cases has led to the COVID-19 testing demand surge. Rapid, accurate, and cost-effective COVID-19 screening tests working at a population level are in imperative demand globally. Methods: Based on the eye symptoms of COVID-19, we developed and tested a COVID-19 rapid prescreening model using the eye-region images captured in China and Spain with cellphone cameras. The convolutional neural networks (CNNs)-based model was trained on these eye images to complete binary classification task of identifying the COVID-19 cases. The performance was measured using area under receiver-operating-characteristic curve (AUC), sensitivity, specificity, accuracy, and F1. The application programming interface was open access. Findings: The multicenter study included 2436 pictures corresponding to 657 subjects (155 COVID-19 infection, 23.6%) in development dataset (train and validation) and 2138 pictures corresponding to 478 subjects (64 COVID-19 infections, 13.4%) in test dataset. The image-level performance of COVID-19 prescreening model in the China-Spain multicenter study achieved an AUC of 0.913 (95% CI, 0.898-0.927), with a sensitivity of 0.695 (95% CI, 0.643-0.748), a specificity of 0.904 (95% CI, 0.891 -0.919), an accuracy of 0.875(0.861-0.889), and a F1 of 0.611(0.568-0.655). Interpretation: The CNN-based model for COVID-19 rapid prescreening has reliable specificity and sensitivity. This system provides a low-cost, fully self-performed, non-invasive, real-time feedback solution for continuous surveillance and large-scale rapid prescreening for COVID-19. Funding: This project is supported by Aimomics (Shanghai) Intelligent

Objectives: Based on the electronic medical record data, this paper analyzes the law of TCM treatment of low back pain, and provides reference for TCM treatment of low back pain. Technology or Method: The whole process records of 360 patients with low back pain from January 1, 2015 to August 27, 2019 were obtained from the highly structured electronic medical record system of Mianyang Hospital of Traditional Chinese Medicine, and 337 prescription records were selected from them. Data mining technology was used to explore and analyze the law of prescription medication using the Apriori algorithm. RESULTS: Among the 337 prescriptions, a total of 257 herbs were involved, and the top 5 herbs were licorice root, Ligusticum Chuanxiong, twotoothed achyranthes root, eucommia bark, and Poria Cocos. In the four nature of drugs, the main warm, calm; In the five flavors, to sweet, pungent, bitter; In terms of channel tropism, liver, spleen, lung, kidney, stomach and heart are the main factors. Clinical or Biological Impact: In the treatment of lumbago, TCM focuses on dispelling wind and dampness, invigorating spleen and replenishing qi, promoting blood circulation for removing blood stasis, and always aims to “strengthen the kidney and strengthen the spleen”. The combination of drugs with strong correlation provides a reliable basis for the use of drugs for clinical syndrome differentiation. The conclusions obtained still need clinical testing, but it can provide some reference value for clinical practitioners to further explore.

When an electricity meter is calibrated under the condition of non-reference temperature, it is generally necessary to correct the verification result according to the actual temperature of the verification environment, and then judge whether the electricity meter is qualified. Under the mode of large-scale automatic verification, the space of workplace can reach thousands of square meters, and the temperature distribution is uneven. In order to reduce the cost of controlling verification environment temperature, the effort of trying to broaden the range of verification environment temperature has been always made by researchers. The problem is that it is difficult to make an effective judgment on the batch verification results based on the verification data. Under this circumstance, a data analysis method which helps to ensure weather the verification results are effective is needed. In this paper, the batch electricity meters verification experiment is designed and carried out firstly, then the distribution characteristics of verification data are studied, and the conclusion is obtained that the distribution type of verification data is normal distribution. On this basis, the method based on parameter test is used to analyze the data consistency, which shows that this data analysis method can make auxiliary evaluation on the validity of verification data produced in non-reference temperature environment. The data analysis method described in this paper can be applied to the operation state evaluation of large-scale automatic verification system and can also provide data analysis means for broadening the range of environment temperature for large-scale automatic verification.

Implanting a stent in the body through a minimally invasive operation and tracking its location in real-time is still a challenge. Herein, a near-infrared (NIR) light-triggered shape-memory polymer possessing a long-time fluorescence imaging function has been developed by cross-linking 6-arm poly(ethylene glycol)–poly(e-caprolactone) using a croconate dye YHD798 as the chemical crosslinker and NIR-absorption perssad. Due to the extraordinary photothermal conversion property of YHD798, the temperature of the material raised from 20 °C to 120 °C under 808 nm near-infrared irradiation at 0.4 W cm−2, leading to shape recovery in 50 s in a programmed shape-transition process. YHD798 also exerted an aggregation-induced emission effect, endowing the polymer with a clear NIR fluorescence imaging function even when covered by a 2 mm pork slab and could be used for the real-time visualization of the implanted device fabricated from this polymer in deep tissues of the body. When a tubular stent that was fabricated from this polymer, was implanted into the carotid artery of a Sprague-Dawley rat, it could recover to its permanent shape under 808 nm laser irradiation in 60 s owing to the shape-memory function and facilitated NIR-I fluorescence imaging after implantation for a week owing to the croconate dye. This work provides a new strategy for designing and developing smart polymers with NIR-light-triggered shape-memory effect and long-term fluorescence imaging function for biomedical applications.

With the rise of artificial intelligence, automatic driving, 5G, Internet of things and other emerging industries, the demand of 3D integrated packaging technology is increasing strongly to meet the ever-increasing market demands of high performance, small size, high reliability and ultra-low power consumption. This paper presents a new 3D system integrated packaging technology named embedded system in chip (eSinC®) technology. This technology is a combination of TSV technology and eSiFO technology which has been reported in 2016 [1]-[4]. After finishing the standard eSiFO process, backside RDLs and via last TSV process were fabricated by using laser temporary bonding technology. A totally three stacking package including five chips with two layer frontside and backside RDLs was fabricated successfully. Individual package was connected by micro bumps and TSVs. The packaging size is 5×5mm with an overall 0.78mm packaging thickness, while the individual eSinC packaging thickness is 0.28mm. Several key technologies were developed to achieve eSinC package, including high aspect ratio TSVs, wafer thin and handling, low temperature PECVD process, as well as temporary bonding. Good electrical yield was achieved after process optimization.

We consider the quality factor Q, which quantifies the trade-off between power, efficiency, and fluctuations in steady-state heat engines modeled by dynamical systems. We show that the nonlinear scattering theory, both in classical and quantum mechanics, sets the bound Q=3/8 when approaching the Carnot efficiency. On the other hand, interacting, nonintegrable and momentum-conserving systems can achieve the value Q=1/2, which is the universal upper bound in linear response. This result shows that interactions are necessary to achieve the optimal performance of a steady-state heat engine., Comment: 6 pages, 3 figures

Additional file 5: Supplemental Table 1. The clinicopathological characteristics of the glioma patients enrolled in this study.

Additional file 1: Supplemental Figure 1. Heatmap of nuclear transport genes in lower-grade gliomas and glioblastomas.

Additional file 2: Table S1. The real time polymerase chain reaction primers.

Additional file 1. Supplementary methods and materials. More detailed information about CTCs isolation, drugs, animal studies, shear stress experiments, glycolysis assays, live/dead cell vitality assay, anoikis assay, ChIP, dual-luciferase reporter assay, ELISA, qPCR, WB, immunofluorescence, IHC, cell invasion assay, wound healing assay, cell-cycle analysis and bioinformatics analysis was addressed.

Additional file 3: Supplemental Figure 3. Distribution of NTRS in patients stratified by WHO grade (A), age (B), IDH status (C), 1p/19q status (D), histology (E) and molecular subtype (F) in the training set. *P