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•Differences in perceptions of ES along the urban-rural gradient were investigated.•Local residents’ socio-economic characteristics were used to delineate the gradient.•Residents in urban-rural transitional areas showed unique perceptions.•Variation in residents’ perceptions of ES delivered by grassland was the greatest.•Age and occupation were major factors affecting residents’ perceptions.

Disentangled representation learning is typically achieved by a generative model, variational encoder (VAE). Existing VAE-based methods try to disentangle all the attributes simultaneously in a single hidden space, while the separation of the attribute from irrelevant information varies in complexity. Thus, it should be conducted in different hidden spaces. Therefore, we propose to disentangle the disentanglement itself by assigning the disentanglement of each attribute to different layers. To achieve this, we present a stair disentanglement net (STDNet), a stair-like structure network with each step corresponding to the disentanglement of an attribute. An information separation principle is employed to peel off the irrelevant information to form a compact representation of the targeted attribute within each step. Compact representations, thus, obtained together form the final disentangled representation. To ensure the final disentangled representation is compressed as well as complete with respect to the input data, we propose a variant of the information bottleneck (IB) principle, the stair IB (SIB) principle, to optimize a tradeoff between compression and expressiveness. In particular, for the assignment to the network steps, we define an attribute complexity metric to assign the attributes by the complexity ascending rule (CAR) that dictates a sequencing of the attribute disentanglement in ascending order of complexity. Experimentally, STDNet achieves state-of-the-art results in representation learning and image generation on multiple benchmarks, including Mixed National Institute of Standards and Technology database (MNIST), dSprites, and CelebA. Furthermore, we conduct thorough ablation experiments to show how the strategies employed here contribute to the performance, including neurons block, CAR, hierarchical structure, and variational form of SIB.

Flexible sensors for application in various industries, including biomedicine and wearable electronics, are frequently made using silver nanoparticle (AgNP) inks and inkjet printing (IJP) technology. Inkjet-printed flexible electronic devices are made up of many printed lines that run parallel to each other, and the surface morphology of the printed lines and the interline state directly impact the electrical conductivity of the electronic devices. This paper describes the experimental setup for IJP, the definition of print line characteristics, and common unavoidable defects. Conductivity and physical defects are considered in defining the print line quality assessment. In addition, two prediction models of flexible sensors before batch printing and a model for detecting defects after printing are provided. The predictive models can guide actions, leading to a print success rate of over 80%. We build the defect detection model using a neural architecture search because manually fine-tuning neural networks for reference is challenging. Finally, a target detection model with a mAP@0.5 of 81.2% is built in just 0.77 graphics processing unit (GPU) days. The model takes only 4.6 ms to detect an image, satisfying the real-time monitoring needs. At the same time, an accuracy of 95.5% can be achieved in the test data set. This work provides a new idea for the high-volume preparation of flexible sensors.

The communication-dependent inertia supporting of MMC-HVDC systems transmits the ac frequency information to the MMC station via phase measured units (PMUs), and provides frequency support for the connected ac grid. However, the random disturbances including the communication time delays and denial of service (DoS) attacks in the communication networks introduce new threats on the stable operation of the MMC-HVDC and the connected ac system. This article proposes a Markov-based stochastic stabilization control for MMC-HVDC systems with inertia supporting under random disturbances. Firstly, the Markov time-delay jump model of MMC-HVDC systems with inertia supporting is investigated under random disturbances, while the communication delay and DoS attacks are modeled as the stochastic Markov jumps with bounded time-varying delay and state discontinuities. Then the time delay term is regarded as a kind of equivalent disturbance acting on system input and compensated through the second-order communication disturbance observer (CDO). Besides, a Markov-based finite-time stabilization controller is designed for MMC-HVDC to mitigate the influence of random DoS attacks without need of information about the detailed DoS attack states. Simulations of several cases on PSCAD/EMTDC platform show that the inertia supporting control of MMC-HVDC can remain stable and unaffected in realizing fast frequency recovery for the ac grid under the random disturbances in the communication networks.

Electrochemical hydrogen compression (EHC) is an emerging energy conversion technology. Proton exchange membranes (PEMs) with high proton conductivity and high mechanical strength are highly required to meet the practical requirements of EHC. Herein, ionic covalent organic frameworks (iCOFs) with tunable side chains were synthesized and introduced into the sulfonated poly (ether ether ketone) (SPEEK) matrix to fabricate hybrid PEMs. In our membranes, the rigid iCOFs afford ordered proton conduction channels, whereas the flexible side chains on iCOFs afford abundant proton conduction sites, adaptive hydrogen bonding networks, and high local density short hydrogen bonds for highly efficient proton transport. Moreover, the hydrogen bond interactions between the side chains on iCOFs and the SPEEK matrix enhance the mechanical stability of membranes. As a result, the hybrid PEM acquires an enhanced proton conductivity of 540.4 mS cm−1(80 °C, 100%RH), a high mechanical strength of 120.41 MPa, and a superior performance (2.3 MPa at 30 °C, 100%RH) in EHC applications.

ABSTRACTPrevious studies reported that DDB1 and CUL4 associated factor 7 (DCAF7)is associated with craniofacial, muscle, fat and bone growth and development. Therefore, the objective of this study was to explore genetic variation in the DCAF7gene and its potential association with number of thoracolumbar vertebrae and carcass traits in Dezhou donkeys. Seven single-nucleotide polymorphisms (SNPs) were detected by targeted sequencing and Sanger sequencing in the intron region of the DCAF7gene in 406 Dezhou donkeys. The polymorphism at g.48991059 T > G was significantly associated with hide weight (P < 0.05). g.48978712 T > C, g.48985896 A > G, g.48987539 C > T, g.48988058 A > G and g.48992171 C > T sites were associated with number of thoracic vertebrae (P < 0.05). Furthermore, linkage disequilibrium analysis showed that four of the seven SNPs of DCAF7gene were strongly linked to each other and can be used as Tag SNP. Data analysis revealed that haplotype combination Hap2Hap4 (TCAGTTCC) had the highest length of thoracic vertebrae, it was significantly higher than that in haplotype combinations Hap1Hap2 (TTAAGTCC) and Hap1Hap3 (TCAGGTCT) (P < 0.05). Finally, the results of this study suggest that the polymorphisms of DCAF7gene can be used as a molecular marker for donkey breeding.

The Voltage Source Converter based High Voltage Direct Current (VSC-HVDC) technology has become the development direction of new energy grid-connected, DC power transmission and island power supply technology in the future due to its superior characteristics. The effective and reliable control method is important to realize the stable operation of VSC-HVDC system during disturbances. However, the common adopted control scheme for VSC-HVDC system lacks of superior dynamic response when system suffers external disturbances. Although some relatively new control methods have been continuously proposed and applied to the VSC-HVDC system, such as no-beat control, fuzzy control, sliding mode control and repetitive control, etc., they usually depend on detailed and exact system model. This paper focuses on the feedback linearization and disturbance compensation methods in VSC-HVDC system. Firstly, the mathematical model of VSC-HVDC system in dq coordinate system with modeling errors and external disturbances is derived. Secondly, in order to improve the dynamic response and robustness of the control, the feedback linearization and disturbance compensation method is used and designed to realize the decoupling control of the VSC-HVDC system. Finally, the VSC-HVDC system with conventional control and the proposed control is compared and analyzed on the PSCAD/EMTDC simulation platform. The results show that the proposed controller based on feedback linearization and disturbance compensation principle has better dynamic performance and higher robustness of regulation performance.

The Modular Multilevel Converter based High Voltage Direct Current Transmission (MMC-HVDC) systems can provide active inertia support for the connected ac grid for fast frequency recovery. However, the submodule (SM) capacitance voltages will be affected by the transient power flow and there exist dc voltage fluctuation issues during the active inertia support process. This paper proposes a multi-mode active inertia support strategy for MMC-HVDC systems considering the constraint of dc voltage fluctuations. The analytical relationship of dc voltage fluctuations and ac frequency variations when MMC adopts the virtual inertia control is firstly established, and then different inertia support operation modes are divided according to the allowable dc voltage fluctuation ranges. Next, the multi-mode active inertia support strategy for MMC-HVDC is proposed, which can provide flexible active inertia support on the premise of reasonable dc voltage fluctuations according to different frequency variations and recovery requirements. Besides, the inertia support process of MMC is equivalent to the zero-input response of first-order circuit to calculate the maximum sustainable supporting time, which ensures that the dc voltage fluctuation constraint can be well satisfied in different operation modes. Finally, several simulation results verify the effectiveness of the proposed control strategy.

The modular multilevel converter (MMC) topology is recognized as the most viable technology option applied in high-voltage and high-power transmission systems. In this paper, the virtual capacitance based control for MMC-HVDC (MMC-High Voltage Direct Current) systems is proposed to increase the frequency support ability and enhance the system stability when the receiving-end ac grid is weak. The auxiliary control derived from the dynamic energy balance equation with the introduced virtual capacitance for the arm current control of MMC is used as the additional control degree of freedom to enhance the response of ac system frequency. With the proposed control, the MMC can simulate a virtual capacitor with adjustable and larger capacitance capacity value to help increase the dynamic response of ac frequency. Finally, a benchmark two-terminal MMC-HVDC simulation model is established on PSCAD/EMTDC to verify the validity of the proposed control.

Purpose: Hemithyroidectomy is a valid operation to retain functional contralateral thyroid lobe that is indicated for a variety of thyroid diseases. This study aimed at determination of the risk factors for thyroid hormone replacement following hemithyroidectomy and to develop a predictive nomogram. Methods: Data of patients treated by hemithyroidectomy for benign thyroid disease between January 2015 and January 2020 were retrospectively analyzed. Baseline characteristics, surgery-related variables, and preoperative and postoperative thyroid function of patients were collected from the case records and compared between patients with postoperative euthyroidism and patients with postoperative hypothyroidism. Postoperative euthyroidism patients without thyroid hormone replacement were compared to those who developed postoperative hypothyroidism with thyroid hormone replacement. The factors associated with thyroid hormone replacement were used to construct a binomial logistic-regression model and visualized as a predictive nomogram to evaluate the risk of thyroid hormone replacement following hemithyroidectomy. Results: Of the 378 patients (74% female) included in the study, 110 (29.1%) developed postoperative hypothyroidism. Preoperative serum thyroid-stimulating hormone (TSH)?>?2.172?µIU/mL was identified as an independent risk factor for postoperative hypothyroidism (odds ratio [OR]?=?8.02; 95% confidence interval [CI]: 4.87–13.20; P?&lt;?0.001). Of 110 patients with postoperative hypothyroidism, 56 (50.9%) received thyroid hormone replacement. Unilateral thyroid nodule and preoperative serum TSH?>?2.172?µIU/mL were independent predictors of postoperative thyroid hormone replacement (P?=?0.01, and P?&lt;?0.001, respectively). Temporary subclinical hypothyroidism occurred in 12 patients; all 12 reverted to euthyroid state without thyroid hormone replacement. The discriminative effect of the binomial regression model was proved reliable by the Hosmer–Lemeshow goodness-of-fit test (P?=?0.503), and predictive ability of the nomogram was satisfactory with a C-index of 0.833. Conclusions: Hypothyroidism is common after hemithyroidectomy, and almost half of the patients will need thyroid hormone replacement. Elevated preoperative serum TSH level and unilateral thyroid nodule were independent predictors of thyroid hormone replacement following hemithyroidectomy. The predictive nomogram could be a useful tool for clinical practice.

Primary thyroid lymphoma (PTL) is a rare malignant tumor. It can manifest as a rapidly growing mass and produce various compression symptoms. However, PTL is easily missed or misdiagnosed for the lack of standardized diagnostic methods. Therefore, it is very necessary to analyze the diagnosis methods and treatment strategy of PTL to clarify the guide of diagnosis and treatment. In this study, we retrospectively analyzed PTL patients to determine their clinical, ultrasound and histological features. Forty-one PTL cases were analyzed. The pathological results of all cases were B-cell-derived non-Hodgkin’s lymphoma. In these patients, 12 were mucosa-associated lymphoid tissue lymphomas, and 24 were diffuse large B-cell lymphomas. Through the analysis of the clinical, ultrasonographic and histological features of 41 patients with PTL, and the discussion of treatment strategies, we support that middle-aged women with a history of Hashimoto’s thyroiditis should pay more attention to the possibility of PTL if they have a swelling neck. Thyroid function tests and neck ultrasound are routine examinations. Core biopsy is an important diagnostic method. PTL treatment is mainly based on radiotherapy and chemotherapy, and surgery is not the first choice.

•Urbanization levels on the TP in 2018 were quantified with high-resolution NLT data.•Luojia1-01 nighttime light data could quantify urbanization levels more effectively.•TP had a low overall urbanization level with a large internal difference.•TP formed three hotspots with high urbanization levels.•The topography and transportation were the main factors affecting urbanization levels.

Glass Fiber Reinforced Plastic is widely used in manufacturing and other fields because of its high specific strength and high specific modulus. Since the workpiece requires secondary hole processing during assembly, machining defects are prone to occur during hole making, which seriously affects the service life of the workpiece. A novel type of thin-walled diamond trepanning bit was fabricated and combined with ultrasonic processing technology to conduct a pilot study on hole processing. Compared with conventional twist drill hole processing, the novel diamond trepanning bit grinding hole-making method can significantly reduce the axial force when drilling, and effectively reduce the delamination and tearing damage at the exit of the hole, so that the delamination ratio at the exit is reduced by 9.6%. Combined with ultrasonic machining technology, hole machining experiments were carried out, and the results showed that: spindle speed increase or feed rate reduction can make axial force, hole wall surface roughness, and exit delamination damage all show a decreasing trend. Compared with conventional machining, the rotary ultrasonic hole machining technology can effectively reduce the axial force by 20.1% and effectively reduce the exit delamination problem by 7.3% in the delamination ratio. At the same time, considering the hole-making quality and efficiency, rotary ultrasonic processing can better reflect the advantages of the process and obtain better hole-making quality at the speed of 3000–4000 r/min and the feed rate of 14–20 mm/min. The above research can provide theoretical and technical support for the hole processing problems of Fiber Reinforced Plastic, which has important engineering application value.

This study aimed to systematically determined the effect of 28 h ahemeral light cycle on production performance, egg quality, blood parameters, uterine morphological characteristics, and gene expression of hens during the late laying period. At 74 wk, 260 Hy-Line Brown layers were randomly divided into 2 groups of 130 birds each and in duplicates. Both a regular (16L:8D) and an ahemeral light cycle (16L:12D) were provided to the hens. The oviposition pattern in an ahemeral cycle shifted into darkness, with oviposition mostly occurring 3 to 5 h after light out. Production performance was unaffected by light cycle (P> 0.05). Nonetheless, compared to the normal group, the ahemeral group exhibited increased egg weight, eggshell weight, eggshell percentage, yolk percentage, eggshell thickness, and eggshell strength (P< 0.05). There were rhythmic changes in the uterine morphological structure in both cycles, however, the ahemeral group maintained a longer duration and had more uterine folds than the normal group. In the ahemeral cycle, the phases of the CLOCKand PER2genes were phase-advanced for 3.96 h and 4.54 h compared to the normal cycle. The PHLPP1gene, which controls clock resetting, exhibited a substantial oscillated rhythm in the ahemeral group (P< 0.05), while the expression of genes presenting biological rhythm, such as CRY2and FBXL3, was rhythmically oscillated in normal cycle (P< 0.05). The ITPR2gene, which regulates intracellular Ca2+transport, displayed a significant oscillated rhythm in ahemeral alone (P< 0.05), while the CA2gene, which presents biomineralization, rhythmically oscillated in both cycles (P< 0.05). The ahemeral cycle caused 2.5 h phase delays in the CA2gene compared to the normal cycle. In conclusion, the 28 h ahemeral light cycle preserved the high condition of the uterine folds and changed the uterine rhythms of CLOCK, PER2, ITPR2, and CA2gene expression to improve ion transport and uterine biomineralization.

Shells of pearl oysters are natural biominerals with remarkable properties that can be repaired after damage. The repair process can be regulated by biomacromolecules, especially shell matrix proteins (SMPs). Identifying SMPs is critical for further understanding the process. Although proteomic methods have been used to reveal the complex protein mixture in mature shells, the proteomics of repaired shells after shell damage have not been reported before. In the work described here, we studied the SMPs of the repaired shells (prismatic layers) 5–20 days after shell damage in the pearl oyster Pinctada fucataby integrating transcriptomics and proteomics and then compared the microstructure difference between repaired and mature shells. Although the repaired shells are calcite, similar to mature shells, the microstructures of repaired shells during the regeneration process were different, which could simulate the embryonic shell formation process. In total, we found 49 SMPs from the repaired shells, including some proteins that exist only in mature nacreous layers. Peroxidase-like protein and β-N-acetylhexosaminidase may be important players in shell repair. In addition, SMPs have the capability to affect the CaCO3crystallization process in vitro, altering the packing and reducing the crystallinity of the crystals. This study could improve our understanding of the shell repair process and lay the foundation for studying SMPs-controlled biomineralization.

Exosomes are membrane-enclosed phospholipid extracellular vesicles, which can act as mediators of intercellular communication. Although the original features endow tumor-derived exosomes great potential as biomarkers, efficient isolation and detection methods remain challenging. Here, we presented a two-stage microfluidic platform (ExoPCD-chip), which integrates on-chip isolation and in situ electrochemical analysis of exosomes from serum. To promote exosomes capture efficiency, an improved staggered Y-shaped micropillars mixing pattern was designed to create anisotropic flow without any surface modification. By combining magnetic enrichment based on specific phosphatidylserine-Tim4 protein recognition with a new signal transduction strategy in a chip for the first time, the proposed platform enables highly sensitive detection for CD63 positive exosomes as low as 4.39 × 103particles/mL with a linear range spanning 5 orders of magnitude, which is substantially better than the existing methods. The reduced volume of sample (30 μL) and simple affinity method also make it ideal for rapid downstream analysis of complex biofluids within 3.5 h. As a proof-of-concept, we performed exosomes analysis in human serum and liver cancer patients can be well discriminated from the healthy controls by the ExoPCD-chip. These results demonstrate that this proposed ExoPCD-chip may serve as a comprehensive exosome analysis tool and potential noninvasive diagnostic platform.

Currently, accumulating documents have paid great attention to the critical role of long non-coding RNAs. The long non-coding RNAs DLEU1 has been demonstrated to be dysregulated in many solid tumors and hematological malignancies. However, the detailed descriptions about its potential roles and molecular mechanism in gastric cancer (GC) are still blurry. As for our research, it was found out that DLEU1 was observably intensified in GC tissues and cell lines. And highly expressed DLEU1 was relevant to tumor size, advanced stage of pathology and lymph node metastasis in GC patients. Silenced DLEU1 obviously suppressed proliferation via leading to the cell cycle arrest and inducing cell apoptosis of GC. Furthermore, mechanistic experiments uncovered that DLEU1 could recruit LSD1 (lysine specific demethylase 1) to the promoter regions of KLF2 and then suppressed its transcription. In addition, rescue assays revealed that the oncogenic function mediated by DLEU1 in GC was partly by regulating KLF2. Collectively, our findings manifested that DLEU1 might serve as an oncogene in GC.

With the development of online social networks (OSNs) and modern smartphones, sharing photos with friends has become one of the most popular social activities. Since people usually prefer to give others a positive impression, impression management during photo sharing is becoming increasingly important. However, most of the existing privacy-aware solutions have two main drawbacks: ① Users must decide manually whether to share each photo with others or not, in order to build the desired impression; and ② users run a high risk of leaking sensitive relational information in group photos during photo sharing, such as their position as part of a couple, or their sexual identity. In this paper, we propose a social relation impression-management (SRIM) scheme to protect relational privacy and to automatically recommend an appropriate photo-sharing policy to users. To be more specific, we have designed a lightweight face-distance measurement that calculates the distances between users’ faces within group photos by relying on photo metadata and face-detection results. These distances are then transformed into relations using proxemics. Furthermore, we propose a relation impression evaluation algorithm to evaluate and manage relational impressions. We developed a prototype and employed 21 volunteers to verify the functionalities of the SRIM scheme. The evaluation results show the effectiveness and efficiency of our proposed scheme.

The type V-K CRISPR-associated transposons (CASTs) allow RNA-guided DNA integration and have great potential as a programmable site-specific gene insertion tool. Although all core components have been independently characterized structurally, the mechanism of how the transposase TnsB associates with AAA+ ATPase TnsC and catalyzes donor DNA cleavage and integration remains ambiguous. In this study, we demonstrate that TniQ-dCas9 fusion can direct site-specific transposition by TnsB/TnsC in ShCAST. TnsB is a 3′-5′ exonuclease that specifically cleaves donor DNA at the end of the terminal repeats and integrates the left end prior to the right end. The nucleotide preference and the cleavage site of TnsB are markedly different from those of the well-documented MuA. We also find that TnsB/TnsC association is enhanced in a half-integration state. Overall, our results provide valuable insights into the mechanism and application expansion of CRISPR-mediated site-specific transposition by TnsB/TnsC.

Although COVID-19 is far away, the impact of the pandemic on the management of higher education remains. Within the field of entrepreneurship education research, the influence of institutional management on teacher entrepreneurship competency (TEC) has attracted more attention as they are considered one of the key engines of economic recovery. Using quantitative research as well as SEM, a total of 1241 entrepreneurship education faculty members at China's double first-class universities were surveyed using a questionnaire. The results suggest that entrepreneurship group management (EGM) and mechanism protection (EMP) in institutions have a positive predictive effect on TEC, while a partial mediating effect exists after considering teacher entrepreneurial behaviours (TEB) (including Teacher's behaviour of innovation and autonomy (BIA) and resource seeking and management (BSM)). Overall, the management of entrepreneurship education in Chinese universities has a good effect on the development of TEC. Thus, the application of tripartite interaction theory in entrepreneurship education institutions provides a good reference for the personal sustainable development of entrepreneurship teachers. The significance of institutional management for teachers should shift from the traditional provision of work to professional development and growth.

DNA modifications such as 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) are epigenetic marks known to affect global gene expression in mammals. Given their prevalence in the human genome, close correlation with gene expression and high chemical stability, these DNA epigenetic marks could serve as ideal biomarkers for cancer diagnosis. Taking advantage of a highly sensitive and selective chemical labeling technology, we report here the genome-wide profiling of 5hmC in circulating cell-free DNA (cfDNA) and in genomic DNA (gDNA) of paired tumor and adjacent tissues collected from a cohort of 260 patients recently diagnosed with colorectal, gastric, pancreatic, liver or thyroid cancer and normal tissues from 90 healthy individuals. 5hmC was mainly distributed in transcriptionally active regions coincident with open chromatin and permissive histone modifications. Robust cancer-associated 5hmC signatures were identified in cfDNA that were characteristic for specific cancer types. 5hmC-based biomarkers of circulating cfDNA were highly predictive of colorectal and gastric cancers and were superior to conventional biomarkers and comparable to 5hmC biomarkers from tissue biopsies. Thus, this new strategy could lead to the development of effective, minimally invasive methods for diagnosis and prognosis of cancer from the analyses of blood samples.

Crowdsourced images hold information could potentially be used to remotely monitor heritage sites, and reduce human and capital resources devoted to on-site inspections. This article proposes a combination of semantic image segmentation and photogrammetry to monitor changes in built heritage sites. In particular, this article focuses on segmenting potentially damaging plants from the surrounding stone masonry and other image elements. The method compares different backend models and two model architectures: (i) a one-stage model that segments seven classes within the image, and (ii) a two-stage model that uses the results from the first stage to refine a binary segmentation for the plant class. The final selected model can achieve an overall IoU of 66.9% for seven classes (54.6% for one-stage plant, 56.2% for two-stage plant). Further, the segmentation output is combined with photogrammetry to build a 3D segmented model to measure the area of biological growth. Lastly, the main findings from this paper are: (i) With the help of transfer learning and proper choice of model architecture, image segmentation can be easily applied to analyze crowdsourcing data. (ii) Photogrammetry can be combined with image segmentation to alleviate image distortions for monitoring purpose. (iii) Beyond the measurement of plant area, this method has the potential to be easily transferred into other tasks, such as monitoring cracks and erosion, or as a masking tool in the photogrammetry workflow.

The assembly process of aerospace products such as satellites and rockets has the characteristics of single- or small-batch production, a long development period, high reliability, and frequent disturbances. How to predict and avoid quality abnormalities, quickly locate their causes, and improve product assembly quality and efficiency are urgent engineering issues. As the core technology to realize the integration of virtual and physical space, digital twin (DT) technology can make full use of the low cost, high efficiency, and predictable advantages of digital space to provide a feasible solution to such problems. Hence, a quality management method for the assembly process of aerospace products based on DT is proposed. Given that traditional quality control methods for the assembly process of aerospace products are mostly post-inspection, the Grey-Markov model and T-K control chart are used with a small sample of assembly quality data to predict the value of quality data and the status of an assembly system. The Apriori algorithm is applied to mine the strong association rules related to quality data anomalies and uncontrolled assembly systems so as to solve the issue that the causes of abnormal quality are complicated and difficult to trace. The implementation of the proposed approach is described, taking the collected centroid data of an aerospace product’s cabin, one of the key quality data in the assembly process of aerospace products, as an example. A DT-based quality management system for the assembly process of aerospace products is developed, which can effectively improve the efficiency of quality management for the assembly process of aerospace products and reduce quality abnormalities.

To investigate the clinical feature and treatment strategy of primary pancreatic lymphoma.

A droop control method with virtual-impedance for capacitor-series inverter (CSI) is studied in this paper. Compared with the traditional inverters, CSI has more merits in low-cost reactive power compensation. Therefore, it may a promising solution in a microgrid (MG) to reduce the loss and improve the reactive power compensation, harmonics damping abilities. A control strategy based on the droop-curve is wide-spread in the MG system to achieve inverter’s regulation. However, the inherent flaw of droop control narrowed the accurate power output range to a very small scope, which will influence the application of CSI. The control loop which can emulate the impedance, called virtual impedance, is developed to realize wider precise power transfer. Additionally, the principles of the virtual-impedance are presented in the paper as well, by evaluating the margins of power control, transient performance, and stability of the inverter. Some tests on the experiment prototype are conducted, results indicated the proposed method is effective to extend accurate power control range, and power tracking error can be reduced to 0.5% from 17%.

Icaritin is an active ingredient in Epimedium, which has a variety of pharmacological activities. However, the low activity of Icaritin and the unclear target greatly limit its application. Therefore, based on the structure of Icaritin, we adopted the strategy of replacing toxic groups and introducing active groups to design and synthesize a series of new analogues. The top compound C3exhibited better antimultiple myeloma activity with an IC50of 1.09 μM for RPMI 8226 cells, induced RPMI 8226 apoptosis, and blocked the cell cycle in the S phase. Importantly, transcriptome analysis, cellular thermal shift assay, and microscale thermophoresis assay confirmed that DEPTOR was the target of C3. Moreover, we explored its binding mode with C3. Especially, C3displayed satisfactory inhibition of tumor growth in RPMI 8226 xenografts without obvious side effects. In summary, C3was discovered as a novel putative inhibitor of DEPTOR for the treatment of multiple myeloma.

Perovskite solar cells (PSCs) have been emerged as a promising candidate for solution processable semitransparent (ST) and flexible photovoltaics. However, solution processing compatible transparent electrodes (TEs) still exist as one of the major obstacles for high efficiency and stable ST-PSCs. In this work, we constructed a sandwiched top transparent electrode by using solution processable one- and two-dimensional materials. The assembled 2D graphene with controlled reduction and 1D silver nanowires (AgNWs) electrode present significant contribution to carrier's collection and stability of devices. A self-augmented iodine ion blocking is observed, which mitigated the corrosion of TE from water, oxygen, iodine and etc.. The stability of unencapsulated ST-PSC devices has been significantly enhanced with >80% original power conversion efficiency maintained after 320 h discontinuous tests in the ambient atmosphere, comparing to <10% for AgNWs-along devices. A high-performance single junction ST-PSC was obtained with the efficiency reached up to 14.69% with the transmittance over 20% for visible light and 59% for near infrared ray. Thus, with the development of the printing compatible top 2D/1D/2D TE, the performance of all-solution processed ST-PSCs could be further enhanced and possibly applied for low-cost building integrated photovoltaics, tandem and portable electronic devices.

In the initial published version of this article, there was a mistake in the Pvalue for the correlation between gene-expression changes and 5 hmC changes in tumors. The correct Pvalue should be same as the Pvalue shown in Fig. S6A: 9.8?×?10-6(mistakenly shown as “9.8?×?106” in the main text). This correction does not affect the description of results or the conclusions of this study, since the range of Pvalue is between 0 and 1.