National High Technology Research Research Articles

Corrigendum: Impacts of Tibetan Plateau sensible heat and El Niño–Southern Oscillation on precipitation over South China under the background of the PDO

In the published article, there was an error in the Funding statement. "This study was supported by the National High Technology Research and Development Program of China (Grant No. 2018YFC1505705) and the National Key R&D Program of China (Grant No. 2016YFA0602003)", the first funding has been concluded and cannot be used, so replace it with new project fundings. The correct Funding statement appears below."This study was jointly supported by the Key Program of National Natural Science Foundation of China (Grant Nos. 42030602, 42030611) and the National Key R&D Program of China (Grant No. 2016YFA0602003)". The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Research on Star Sensor-based Space Debris Detection and Positioning Technology

As an important part of space situational awareness, space-based surveillance of space debris is of great significance for understanding and protecting space resources. With the increasing number of spacecraft operating in the Earth's orbit, both the environment and the space security situation have gradually deteriorated. The accurate detection of small, dim targets in space is the technical basis of space-based debris monitoring; however, several difficulties exist in this field. Since space targets reflect low light energy, the number of pixels occupied by the target is small, and they do not reveal shape or texture characteristics. Space debris is therefore easily confused with background stars, leading to many false alarm targets, and making source detection, recognition, and tracking challenging. Accurate source positions for small and dim space targets are therefore important motivators in our project. However, the positioning accuracy of existing space-based monitoring platforms is limited by the position of the observation platform and the observable time period, due to the high-speed movements of the satellite platform and the observation target. The observation efficiency of existing space-based monitoring platforms is also low, which has certain limitations in practical applications. The high-precision measurement of target positions is thus inhibited when using existing space-based monitoring platforms. The aim of this research is to use an autonomous recognition algorithm based on a compound calibration star grid pattern for star identification. This study utilized a national advanced research project from the National High Technology Research and Development Program and used a star sensor for space debris monitoring, allowing dim and small space debris to be distinguished from stars. This research proposes a target detection technology path based on local sky reference star image comparison to detect weak and small targets in the background of star images. This technology enables the rapid, effective recognition and high-precision positioning of small, dim space targets.

Polarization-independent silicon photonic grating coupler for large spatial light spots* *Project supported by the National High Technology Research and Development Program of China (Grant No. 18-H863-04-ZD-006-007-01).

We design and demonstrate a one-dimensional grating coupler with a low polarization-dependent loss (PDL) for large spatial light spots. Based on current fabrication conditions, we first utilize genetic algorithms to find the optimal grating structure including the distributions of duty and periods, making the effective refractive index of transverse electric mode the same as that of transverse magnetic mode. The designed grating coupler is fabricated on the common silicon-on-insulator platform and the PDL is measured to be within 0.41 dB covering the C-band.

The Fatty Acids Composition of Human Milk in Different Lactation Stages of Chinese Population

Abstract Objectives To investigate the fatty acids composition in different lactation stages of human milk in China. Methods A large cross-sectional study was conducted and lactating women (n = 6481) within 0–330 days postpartum were recruited in China between 2011 and 2013. Human milk sub-samples (n = 1135) were randomly selected for fatty acids analysis in the original study. The sample size of colostrum, transitional milk, and mature milk were 160, 177, 798 respectively. Fats were hydrolyzed and fatty acids methyl esters were analyzed using gas chromatography. Results The content of oleic acid, the highest level fatty acid in human milk, was 36.63%, 34.53% and 35.12% of total fatty acids in colostrum, transitional milk, and mature milk, respectively in China. The content of palmitic acid was about 23.69%, 21.90% and 20.82% in colostrum, transitional milk, and mature milk, respectively. Saturated fatty acids, monounsaturated fatty acids and polyunsaturated fatty acids accounted for 36.99%, 39.14% and 23.49% of total fatty acids of mature milk, respectively. The content of linoleic acid and arachidonic acid was 20.47% and 0.54% in mature milk, respectively. The content of eicosapentaenoic acid (EPA) and docosahexenic acid (DHA) was 0.06% and 0.28% in mature milk, respectively. In addition to lactation stage, the fatty acids content differed significantly among various regions, nationalities, or mode of delivery. (i.e., Regions (city vs rural): oleic acid: 33.8% vs 36.4%; linoleic acid: 22.88% vs 17.21%; arachidonic acid:0.64%vs 0.59%; DHA: 0.42% vs 0.26%; EPA: 0.09% vs 0.04%. Nationality (Han vs Minority): oleic acid: 34.40% vs 36.59%; linoleic acid: 21.69% vs 16.54%; arachidonic acid:0.64%vs 0.57%; DHA: 0.38% vs 0.24%; EPA: 0.08% vs 0.04%.). Conclusions Oleic acid is the most abundant fatty acids in human milk of China. In addition to lactation stage, the fatty acid concentrations vary among different regions and nationalities in China. Funding Sources This study was supported by Beijing Natural Science Foundation (S160002), the National Key R&D Program of China (2017YFD0400601) and the National High Technology Research and Development Program of China (863 Program) (2010AA023004).

Prognostic and predictive value of an immune infiltration signature in diffuse lower-grade gliomas.

BACKGROUNDLower-grade gliomas (LGGs) vary widely in terms of the patient's overall survival (OS). There is no current, valid method that could exactly predict the survival. The effects of intratumoral immune infiltration on clinical outcome have been widely reported. Thus, we aim to develop an immune infiltration signature to predict the survival of LGG patients.METHODSWe analyzed 1216 LGGs from 5 public data sets, including 2 RNA sequencing data sets and 3 microarray data sets. Least absolute shrinkage and selection operator (LASSO) Cox regression was used to select an immune infiltration signature and build a risk score. The performance of the risk score was assessed in the training set (329 patients), internal validation set (140 patients), and 4 external validation sets (405, 118, 88, and 136 patients).RESULTSAn immune infiltration signature consisting of 20 immune metagenes was used to generate a risk score. The performance of the risk score was thoroughly verified in the training and validation sets. Additionally, we found that the risk score was positively correlated with the expression levels of TGF-β and PD-L1, which were important targets of combination immunotherapy. Furthermore, a nomogram incorporating the risk score, patient's age, and tumor grade was developed to predict the OS, and it performed well in all the training and validation sets (C-index: 0.873, 0.881, 0.781, 0.765, 0.721, and 0.753).CONCLUSIONThe risk score based on the immune infiltration signature has reliable prognostic and predictive value for patients with LGGs and is a potential biomarker for the cotargeting immunotherapy.FUNDINGThis work was supported by The National Natural Science Foundation of China (grant nos. 81472370 and 81672506), the Natural Science Foundation of Beijing (grant no. J180005), the National High Technology Research and Development Program of China (863 Program, grant no. 2014AA020610), and the National Basic Research Program of China (973 Program, grant no. 2014CB542006).

A Framework Using Active Learning to Rapidly Perform Named Entity Extraction and Relation Recognition for Science and Technology Knowledge Graph

Construct a knowledge graph is time-consuming and the knowledge graph in the scientific domain requires extremely high labor costs due to it requires high prior knowledge to extract knowledge from resources. To build a scientific research knowledge graph, the most of input are papers, patent, the description of their project and some national program (such as National High Technology Research and Development Program of China, Major State Basic Research Development Program of China, General Program, Key Program and Major Program) which all of them are unstructured data, that make human participation are mostly necessary to measure the quality. In this paper, we design and proposed a framework using active learning; this framework can be used to extract entity and relation from unstructured science and technology research data. This framework combines the human and machine learning approach together, which is active learning, to help user extract entity from those unstructured data with less time cost. By using those data to construct a CKG as annotation label, it further implements active learning tools and helps the expert to rapidly annotate the data with high accuracy. Those knowledge graph constructed by this framework can be used to finding similar research area, finding similar researchers, finding popular research areas and so on.

Bacterial Species of Gut Microbiota are Identified to Be Associated with FOLFOX Treatment in Low-Set Rectal Cancer Patients

Background: FOLFOX treatment is a widely used method to reduce the tumor size of low-set rectal cancer with varied clinical results. The FOLFOX agents are a mixture of oxaliplatin and 5-fluorouracil, whose efficacy might be modulated by the gut microbiome in humans. This study is aimed to determine whether the bowel microbiota is a factor that influence the FOLFOX treatment. Methods: To investigate the role of gut microbiota during the FOLFOX treatment, we collected 62 fecal samples from low-set rectal cancer patients, and metagenomic sequencing was done for these fecal samples. Diverse bacterial taxa were identified by MetaGeneMark, Soapaligner and DIAMOND, and the microbiota data analyses were completed under R environment. Findings: Differences in microbial taxa and MLGs were observed in multiple comparative analyses, and a group of 8 specific bacterial species are to be associated with the outcome of FOLFOX treatment. After the treatment, changes in bacteria diversity of microbiota were more apparent in the responder group than in the non-responder group. Experienced the treatment, the MLGs network construction was more complex in responder than in non-responder. Moreover, the enterotype shift in responders was consistency but the tendency in non-responders was difficult to find. Interpretation: The difference between responder and non-responder low-rectal cancer patients had appeared before therapy. There is a group of 8 specific bacterial species that can be used to stratify the gut microbiota of the patients, and possibly can be used for the prediction of FOLFOX treatment outcome. This finding suggests a forecast before FOLFOX to better prevent the harmful and poorly tolerated effects. Funding: This study was partially supported by Beijing Municipal Natural Science Foundation (5174037), Major State Basic Research Development Program (2015CB554200), National High Technology Research and Development Program (2014AA020801) and China-Japan Friendship Hospital Research Funding (2016-1-MS-5). Declaration of Interest: None declared. Ethical Approval: This study was approved by local ethics committees (Institute of Microbiology, Chinese Academy of Sciences), and informed consent was obtained from all participants.

Study of highly excited vibrational dynamics of HCP integrable system with dynamic potential methods**Project supported by the National Natural Science Foundation of China (Grant Nos. 11505027 and 11104156), the Open Foundation of Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation (Grant No. JXMS201605), the Science and Technology Project of Education Department of Jiangxi Province in 2016, and the National High

Highly excited vibrational dynamics of phosphaethyne (HCP) integrable system are investigated based on its dynamic potentials. Taking into consideration the 2:1 Fermi resonance between H–C–P bending vibrational mode and C–P stretching vibrational mode, it is found that the effects of H–C stretching vibrational mode on vibrational dynamic features of the HCP integrable system are significant and regularly vary with Polyad numbers (P number). The geometrical profiles of the dynamic potentials and the corresponding fixed points are sensitive to the variation of H–C stretching vibrational strength when P numbers are small, but are not sensitive when P numbers become larger and the corresponding threshold values become lower. The phase space trajectories of different energy levels in a designated dynamic potential (P = 28) were studied and the results indicated that the dynamic potentials govern the various dynamic environments in which the vibrational states lie. Furthermore, action integrals of the energy levels contained in dynamic potential (P = 28) were quantitatively analyzed and elucidated. It was determined that the dynamic environments could be identified by the numerical values of the action integrals of trajectories of phase space, which is equivalent with dynamic potentials.

III–V/Si Hybrid Laser Array with DBR on Si Waveguide**Supported by the National Basic Research Program of China under Grant No 2013CB632105, the National High Technology Research and Development Program of China under Grant No 2012AA012203, and the National Natural Science Foundation of China under Grant Nos 61404003 and 11174018.

We report an eight-channel silicon evanescent laser array operating at continuous wave under room temperature conditions using the selective-area metal bonding technique. The laser array is realized by evanescently coupling the optical gain of InGaAsP multi-quantum wells to the silicon waveguides of varying widths and patterned with distributed Bragg reflector gratings. The lasers have emission peak wavelengths in a range of 1537–1543 nm with a wavelength spacing of about 1.0 nm. The thermal impedances ZT of these hybrid lasers are evidently lower than those DFB counterparts

Short Term Exposure to Bilirubin Induces Encephalopathy Similar to Alzheimer's Disease in Late Life

Background: Hyperbilirubinemia may increase the risk of Alzheimer's disease (AD) but its mechanistic role in AD pathogenesis remains obscure. Methods: Three animal models and primary hippocampal cells were used to explore in this study: (1) acute bilirubin treatment; (2) lateral ventricle injection; (3) long term observation. Results: Three days exposure to bilirubin in newborn rats could induce AD-like pathological changes in late life, including tau protein hyperphosphorylation at multiple sites, increased Aβ production in brain tissues, and spatial learning and memory injury. Bilirubin activated the activities of several protein kinases (GSK-3β, CDK5 and JNK), which were positively correlated with hyperphosphorylated tau; simultaneously increased the expression of APP γ-secretase PS2 and decreased the expression of α-secretase ADAM17, which were positively correlated with Aβ production. The above results were well replicated in primary hippocampal cells. Conclusions: Bilirubin may be an upstream activator to induce AD, and bilirubin encephalopathy is an AD-like disease. Funding Statement: The study was supported in part by the National High Technology Research and Development Program of China (2006AA02Z4B5); the National Natural Science Foundation of China(81170608, 81570278, 81602427, 81600089, 81670156); the Science and Technology Program of Guangzhou (201707010046, 201604020001); The National Funds for Developing Local Colleges and Universities (B16056001); Natural Science Foundation research team of Guangdong Province (2018B030312001); Guangzhou Education System (1201610014, 1201620494); Natural Science Foundation of Guangdong Province (2017A030313662). Declaration of Interests: All authors declare that there are no conflicts of interest. Ethics Approval Statement: The protocol for the care and use of all animals in this study was in accordance with the Guangdong Animal Center for the ethical treatment of animals and approved by the Institutional Animal Care and Use Committee of Guangzhou Medical University (SYXK2016-0168, Guangzhou, China).

Concentration of Cholesterol in Human Milk and Associated Factors in Different Chinese Populations (P11-044-19)

ObjectivesThe objectives of the present study were to analyze the cholesterol concentration and explore factors associated with milk cholesterol concentrations in various Chinese populations. MethodsThis was a part of a large cross-sectional study conducted in 11 provinces/autonomous regions/municipalities (Beijing, Gansu, Guangdong, Guangxi, Heilongjiang, Inner Mongolia, Shandong, Shanghai, Xinjiang, Yunnan and Zhejiang) across China between 2011 and 2013. Lactating women (n = 6481) within 0–330 days postpartum were recruited in the original study. A sub-sample of 1138 women was randomly selected, and milk cholesterol concentrations were determined by HPLC. ResultsMean cholesterol concentration was 200 mg/L, 171 mg/L, and 126 mg/L for colostrum, transitional milk, and mature milk, respectively. Cholesterol concentrations differed significantly between stages of lactation (colostrum vs transitional milk, colostrum vs mature milk, transitional milk vs mature milk, all P < 0.001). Maternal dietary egg and flesh food intake, geographic area and serum cholesterol concentration were not associated with milk cholesterol concentration. However, milk cholesterol concentrations vary among different ethnicities (Tibetan vs Hui: 164 mg/L vs 131 mg/L, P = 0.027) in China. ConclusionsThe concentration of cholesterol in milk changes dynamically throughout lactation. Maternal dietary egg and flesh food intake or serum cholesterol are not associated with milk cholesterol concentration, but milk cholesterol concentrations vary across ethnicities in China. Funding SourcesThis study was funded by the National Key R&D Program of China and the National High Technology Research and Development Program of China (863 Program).

Exosomal transfer of miR-1238 contributes to temozolomide-resistance in glioblastoma.

BackgroundAlthough temozolomide (TMZ) resistance is a significant clinical problem in glioblastoma (GBM), its underlying molecular mechanisms are poorly understood. In this study, we identified the role of exosomal microRNAs (miRNAs) from TMZ-resistant cells as important mediators of chemoresistance in GBM cells.MethodsExosomes were isolated from TMZ-resistant GBM cells and characterized via scanning electron microscopy (SEM). Expression levels of miR-1238 in GBM cell lines and their exosomes, clinical tissues, and sera were evaluated by RT-qPCR. In vitro and in vivo experiments were performed to elucidate the function of exosomal miR-1238 in TMZ resistance in GBM cells. Co-immunoprecipitation assays and western blot analysis were used to investigate the potential mechanisms of miR-1238/CAV1 that contribute to TMZ resistance.FindingsMiR-1238 levels were higher in TMZ-resistant GBM cells and their exosomes than in sensitive cells. Higher levels of miR-1238 were found in the sera of GBM patients than in healthy people. The loss of miR-1238 may sensitize resistant GBM cells by directly targeting the CAV1/EGFR pathway. Furthermore, bioactive miR-1238 may be incorporated into the exosomes shed by TMZ-resistant cells and taken up by TMZ-sensitive cells, thus disseminating TMZ resistance.InterpretationOur findings establish that miR-1238 plays an important role in mediating the acquired chemoresistance of GBM and that exosomal miR-1238 may confer chemoresistance in the tumour microenvironment. These results suggest that circulating miR-1238 serves as a clinical biomarker and a promising therapeutic target for TMZ resistance in GBM.FundThis study was supported by the National Natural Science Foundation of China (No·81402056, 81472362, and 81772951) and the National High Technology Research and Development Program of China (863) (No·2012AA02A508).

The Next Era: Flourish of National Health Care & Medicine with the World Leading Artificial Intelligence.

Prof. Jian Wu graduated from Zhejiang University (ZJU) and obtained his Ph.D. degree at the College of Computer Science and Technology, ZJU. He is currently the vice president of National Academy of Health and Medical Big Data at ZJU, the director of the Real-doctor Artificial Intelligence (AI) Research Center of ZJU, and is also serving as members of China Computer Federation (CCF)'s Committee for Elite Young Professionals, and the Ministry of science and technology's key field innovation team. Prof. Wu's research focus on AI in Medicine. In recent years, he has presided one National Science and Technology Support project, five China's National Natural Science Foundation projects, and three National High Technology Research and Development Program (863 program) projects. He has received 32 licensed patents and published over 100 SCI/EI referenced papers in this field. His received honors and awards include the 100 Most Influential Domestic Academic Paper Award in 2008 and 2009, the CCF Excellent Paper Award in 2017, the First Prize of Science Technology Progress Award of Ministry of Education in 2007, the Second Prize of National Science Technology Progress Award in 2010, the First Prizes of Science Technology Progress Award of Zhejiang province in 2008 and 2014, and the Supreme prize of China General Chamber of Commerce's Science and Technology Award.

Ultrafast charge transfer in dual graphene-WS2 van der Waals quadrilayer heterostructures☆☆Supported by the National Key Research and Development Program under Grant No 2016YFA0401100, the National Natural Science Foundation of China under Grant No 61575129, the National High Technology Research and Development Program of China under Grant No 2015AA021102, and the Major Science and Technology Project of Guangdong Province under Grant

Using dual graphene–WS2 quadrilayer heterostructures as an example, we find that the ultrafast transfer of electrons from WS2 to graphene takes place within 114 fs, and the Coulomb field of the charge can effectively affect the interlayer electron transfer. This effect illustrates that the charge transfer in such van der Waals heterostructures may be controlled by an externally applied electric field for promising applications in photoelectric devices.

CD4 T Cell Subset Profiling in Biliary Atresia Reveals ICOS- Regulatory T Cells as a Favourable Prognostic Factor

BACKGROUND: Biliary atresia (BA) is a destructive pediatric liver disease and CD4 T cell activation is thought to play an important role in disease progression. However, a comprehensive scenario regarding the involvement of CD4 T cell subsets to the development of BA remains unclear. Here, we aim to explore the infiltration of CD4 T cell subsets and their clinical significance in BA. METHODS: Thirty BA liver samples were harvested during surgery and were divided into good (BA1, n=16) and poor prognosis (BA2, n=14), and choledochal cyst patients (n=8) were included as control. The infiltrations of CD4 T cell subsets in the portal areas were evaluated by multiplex immunohistochemistry. RT-qPCR and flow cytometry were further applied to explore detailed features of Treg subsets. FINDINGS: Hepatic infiltrating Th1, Th2, Th17 and ICOS Treg cells were significantly increased in BA patients compared to controls (p<0.05) and were negatively associated with prognosis (p<0.05), while high infiltrating ICOS-Tregs showed a favourable outcome (p<0.05). Phenotypic analysis indicated that, in contrast to ICOS Tregs, ICOS-Tregs were mainly CD45RAhiCD45ROlow and preferentially expressed more CD73. Besides, RT-qPCR revealed the elevated expression of CD25, CD73, TGF-β and BCL-2 genes in ICOS-Tregs. Finally, functional assay confirmed that ICOS-Tregs had a higher suppressive capacity to inhibit cytokine secretion and were more resistant to apoptosis in vitro (p<0.05). INTERPRETATION: A mixed immune response is involved in BA pathogenesis and the globally enhanced effector CD4± T cell response is associated with unfavourable prognosis. By contrast, highly suppressive ICOS-Tregs is a protective factor and may serve an important reference to predict prognosis. Funding Statement: This study received financial support from Shanghai Key Disciplines (no. 2017ZZ02022), the National Natural Science Foundation of China (no. 81572324 and no. 81873545), the Science Foundation of Shanghai Excellent Youth Scholars (no. 2017YQ042), the Science Foundation of Shanghai (no. 15ZR1404200, no. 18411969100 and no. 17411960600) and the National High Technology Research and Development Program of China (2015AA020104). Declaration of Interests: The authors declare no conflict of interests. Ethics Approval Statement: The Ethics Committee of the Children's Hospital of Fudan University approved this study, which was performed according to the principles of the Declaration of Helsinki.

Regulation of Estrogen Signaling and Breast Cancer Proliferation by an Ubiquitin Ligase TRIM56

Breast cancer ranks No.1 in women cancer worldwide, while 60-70% are estrogen receptor alpha positive. The estrogen selective modulators, such as tamoxifen, become the effective drugs for controlling ER alpha breast cancer progression. However, tamoxifen resistance will develop during long-time treatment and cancer progression. Thus, further understanding of ER alpha signaling becomes necessary for the improvement of breast cancer therapy. Here, we identify TRIM56 as a novel regulatory factor in ER alpha signaling. TRIM56 expression is positive correlated with ER alpha and PR in breast cancer samples and is related to poor prognosis in endocrine therapy patients. TRIM56 depletion significantly decreases ER alpha signaling activity and ER alpha positive breast cancer proliferation in vitro and in vivo. TRIM56 associates with AF1 domain of ER alpha via its WD40 domain in the cytoplasm. TRIM56 prolongs ER alpha protein stability, possibly through targeting ER alpha K63 linked ubiquitination. In conclusion, our study reveals an interesting post-translational mechanism between TRIM56 and ER alpha in breast cancer progression. Targeting TRIM56 could be a promising approach for ER alpha positive breast cancer. Funding Statement: The project was supported by the National Science Foundation for Young Scientists of China (No. 8170110153, Ting Zhuang), the Joint Fund of the National Natural Science Foundation of China (No.U1604190, Jian Zhu; U1704169, Xiumin Li), the Program for Innovative Research Team (in Science and Technology) in University of Henan Province (No.15IRTSTHN025, Hui Wang), the National High Technology Research and Development Program of China (2012AA02A201-1), the Foundation of Henan Educational Committee (No.16A310014 and No.17A310025, Jian Zhu and Ting Zhuang), and the Program for Ph.D. starting research funding from Xinxiang Medical University (Ting Zhuang and Jian Zhu). This study is funded by graduate innovative practice base for clinical medicine of Xinxiang Medical University, Yashijie medical laboratory institute，School of laboratory medicine, Xinxiang Medical University Declaration of Interests: The authors claim no conflict of interest. Ethics Approval Statement: This study was reviewed and approved by the Ethical Board at Xinxiang Medical University. This usage of clinical samples was reviewed and approved by the Ethical Board at the Qilu Hospital of Shandong University with written informed consents from all the patients.

Performance improvement in carbon fiber reinforced polymer-based composites

As the key strategic materials for national security, carbon fibers (CF) and CF reinforced composites must be independently guaranteed. Among them, the amount of carbon fiber reinforced polymer (CFRP) composite material accounts for more than 70% of carbon fiber composites. Resin matrix (content over 35 wt%) is one of the two basic materials of CF reinforced polymer composites, which directly determine the service performance and processing of the composites. The Advanced Composites Center (ACC) in Beijing University of Chemical Technology (BUCT) has carried out a series of fundamental and engineering research solve problems about how to prepare domestic high-performance resin matrix for carbon fiber with the aim of meeting the national strategic needs. ACC research team has made great progress in promoting domestic carbon fiber application and the innovation of high-performance domestic CF reinforced polymer composites. Since 2005, ACC research team have developed the resin matrix system and composites which are compatible with Toray T700/T800/T1000 carbon fibers and M40J, M55J high-modulus carbon fibers, and suitable for forming process with wide viscosity range. A series works have been conquered to promote the development of domestic carbon fibers from usable to easy-to-use. Research results have significantly improved the performance of domestic carbon fiber reinforced composites, optimized the preparation technology, and guaranteed the design and supporting capability of advanced weapons. In this paper, the research achievements and technical breakthroughs on CF reinforced polymer-based composites done by ACC research team in recent 10 years are summarized. The details include: (1) The cross-linking structure simulation of resin molecules used for CF. (2) Prediction of the relationship between molecular structure and properties of resins through molecule simulation method. (3) The new mechanism of double interface/double interphase and modulus transition layer for carbon fiber reinforced polymer composites. (4) The multiscale toughening and reinforcing methodologies of interfacial phases of carbon fiber reinforced polymer matrix composites. (5) In situ characterization of interface between carbon fiber and resin matrix composites through fluorescence matter. (6) Innovation of methodology for multi-stage/multi-scale toughening and strengthening of carbon fiber reinforced polymer composites. (7) Innovation in preparation technology of high performance resin materials used for carbon fiber. (8) Processing technology innovation and the related product engineering of CF reinforced polymer composites. The above-mentioned research works of BUCT have been supported by more than 30 projects, such as the National Military and Civilian Population Matching Project, the National Natural Fund Key Project and the National High Technology Research and Development Program (863) of China. And research results have been used in many key defense models of national defense industries, such as aerospace, weapons, nuclear industry, and aviation and so on. It has achieved considerable economic and social benefits and promoted the nationalization process of carbon fiber resin in the field of national defense. In the end, the development trend on high-performance CF reinforced polymer composites is generally prospected. And ACC research team will also tireless promote the whole life cycle usage of CFRP materials and contribute to the healthy and sustainable development of CFRP industry.

Effect of graphene/ZnO hybrid transparent electrode on characteristics of GaN light-emitting diodes**Project supported by the National High Technology Research and Development Program of China (Grant No. 2015AA034801), the Foundation of the State Key Laboratory of Mechanical Transmission of Chongqing University, China (Grant Nos. SKLMT-ZZKT-2017M15 and SKLM-ZZKT-2015Z16), the National Natural Science Foundation of China (Grant Nos. 11544010, 11374359, 11304405, and 1155305),

In order to reduce the Schottky barrier height and sheet resistance between graphene (Gr) and the p-GaN layers in GaN-based light-emitting diodes (LEDs), conductive transparent thin films with large work function are required to be inserted between Gr and p-GaN layers. In the present work, three kinds of transparent conductive oxide (TCO) zinc oxide (ZnO) films, Al-, Ga-, and In-doped ZnO (AZO, GZO, and IZO), are introduced as a bridge layer between Gr and p-GaN, respectively. The influence of different combinations of Gr/ZnO hybrid transparent conducting layers (TCLs) on the optical and thermal characteristics of the GaN-LED was investigated by the finite element method through COMSOL software. It is found that both the TCL transmittance and the surface temperature of the LED chip reduce with the increase in Gr and ZnO thickness. In order to get the transmittance of the Gr/ZnO hybrid TCL higher than 80%, the appropriate combination of Gr/ZnO compound electrode should be a single layer of Gr with ZnO no thicker than 400 nm (1L Gr/400-nm ZnO), 2L Gr/300-nm ZnO, 3L Gr/200-nm ZnO, or 4L Gr/100-nm ZnO. The LEDs with hybrid TCLs consisting of 1L Gr/300-nm AZO, 2L Gr/300-nm GZO, and 2L Gr/300-nm IZO have good performance, among which the one with 1L Gr/300-nm GZO has the best thermal property. Typically, the temperature of LEDs with 1L Gr/300-nm GZO hybrid TCLs will drop by about 7 K compared with that of the LEDs with a TCL without ZnO film.

Effects of Metal Absorber Thermal Conductivity on Clear Plastic Laser Transmission Welding**Supported by the National Key R&D Program of China under Grant No 2016YFA0401100, the National Natural Science Foundation of China under Grant No 61575129, and the National High-Technology Research and Development Program of China under Grant No 2015AA021102.

In our previous study, metals have been used as absorbers in the clear plastic laser transmission welding. The effects of metal thermal conductivity on the welding quality are investigated in the present work. Four metals with distinctly different thermal conductivities, i.e., titanium, nickel, molybdenum, and copper, are selected as light absorbers. The lap welding is conducted with an 808nm diode laser and simulation experiments are also conducted. Nickel electroplating test is carried out to minimize the side-effects from different light absorptivities of different metals. The results show that the welding with an absorber of higher thermal conductivity can accommodate higher laser input power before smoking, which produces a wider and stronger welding seam. The positive role of the higher thermal conductivity can be attributed to the fact that a desirable thermal field distribution for the molecular diffusion and entanglement is produced from the case with a high thermal conductivity.

Transcriptome Profiling of Hepatocellular Carcinoma Uncovers Multi-Types of Dysregulated ncRNAs

Transcriptome profiling of hepatocellular carcinoma (HCC) by next generation sequencing technology (NGS) has been broadly performed by previous researches, which facilitate our understanding of the molecular mechanisms of HCC formation, progression and metastasis. However, few studies jointly analyze multi-types of ncRNAs, including lncRNAs, circRNAs and miRNAs, and further uncover their implications in HCC. In this study, multi-types of ncRNAs were predicted and quantified based on RNA-seq data, and a large proportion of the novel circRNAs and miRNAs were validated in the independent dataset. Differential expression analysis characterized tumorigenesis- and subclass-associated ncRNAs and their potential biological function. Notably, the circRNA cZRANB1 and lncRNA DUXAP10 were also observed expressed higher in blood exosomes of HCC than healthy donors. Integrative analysis uncovers circRNA-miRNA, lncRNA-miRNA and competing endogenous RNA networks. Specifically, cZRANB1, LINC00501, CTD-2008L17.2, and SLC7A11-AS1 may function as ceRNAs that regulate mRNAs by competing the shared miRNAs. Further prognostic analysis demonstrated that the dysregulated ncRNAs had the potential to predict HCC patient's overall survival. Our systematic analysis provides not only rich data resources for related researchers, but also new insights into the molecular basis of how different ncRNAs coordinately or antagonistically participate into the pathogenesis process of diseases. Funding: This work was supported by the National High Technology Research and Development Program of China (2012AA020204, 2015AA020108), the China Human Proteomics Project (2014DFB30010, 2014DFB30030), National Science Foundation of China (31671377), Natural Science foundation of Shanghai (No.16ZR1429100).and Shanghai 111 Project (B14019). Declaration of Interest: The authors declare that they have no of interest. Ethical Approval: All procedures in the experiment were in agreement with the ethical principles. Patients involved in this study have been informed and signed consent before collection of samples, and the data (do not involve personal information) related to patients was completely anonymous.