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BackgroundTo verify the efficacy and safety of an inexpensive standardized regimen for multidrug-resistant tuberculosis (MDR-TB) with low resistance to isoniazid (INH), a multicenter prospective study was conducted in eastern China.MethodsPatients diagnosed as MDR-TB with low concentration INH resistance and rifampicin resistance, second-line/injectable agents sensitive were prospectively enrolled, given the regimen of Amikacin (Ak)–Fluoroquinolones (FQs)–Cycloserine (Cs)–Protionamide (Pto)–PasiniaZid (Pa)–Pyrazinamide (Z) for 6 months followed by 12 months of FQs–Cs–Pto–Pa–Z, and then followed up for treatment outcomes and adverse events (AEs).ResultsA total of 114 patients were enrolled into the study. The overall favorable treatment rate was 79.8% (91/114). Among 91 cases with favorable treatment, 75.4% (86/114) were cured and 4.4% (5/114) were completed treatment. Regarding to unfavorable outcomes, among 23 cases, 8.8% (10/114) had failures, 8.8% (10/114) losing follow up, 0.9% (1/114) had treatment terminated due to intolerance to drugs and 1.8% (2/114) died. Treatment favorable rate was significantly higher in newly treated MDR-TB (91.7%, 33/36) than that in retreated MDR-TB (74.4%, 58/78,p0.03). The investigators recorded 42 AEs occurrences in 30 of 114 patients (26.3%). Clinicians rated most AEs as mild or moderate (95.24%, 40/42).ConclusionsThe regimen was proved to be effective, safe and inexpensive. It is suitable for specific drug resistant population, especially for newly-treated patients, which could be expected to be developed into a short-course regimen.Clinical trials registrationChina Clinical Trial Registry ChiCTR-OPC-16009380

Optical frequency comb technology has been the cornerstone for scientific breakthroughs in precision metrology. In particular, the unique phase-coherent link between microwave and optical frequencies solves the long-standing puzzle of precision optical frequency synthesis. While the current bulk mode-locked laser frequency comb has had great success in extending the scientific frontier, its use in real-world applications beyond the laboratory setting remains an unsolved challenge due to the relatively large size, weight and power consumption. Recently microresonator-based frequency combs have emerged as a candidate solution with chip-scale implementation and scalability. The wider-system precision control and stabilization approaches for frequency microcombs, however, requires external nonlinear processes and multiple peripherals which constrain their application space. Here we demonstrate an internal phase-stabilized frequency microcomb that does not require nonlinear second-third harmonic generation nor optical external frequency references. We demonstrate that the optical frequency can be stabilized by control of two internally accessible parameters: an intrinsic comb offset ξ and the comb spacing frep. Both parameters are phase-locked to microwave references, with phase noise residuals of 55 and 20 mrad respectively, and the resulting comb-to-comb optical frequency uncertainty is 80 mHz or less. Out-of-loop measurements confirm good coherence and stability across the comb, with measured optical frequency instability of 2 × 10−11 at 20-second gate time. Our measurements are supported by analytical theory including the cavity-induced modulation instability. We further describe an application of our technique in the generation of low noise microwaves and demonstrate noise suppression of the repetition rate below the microwave stabilization limit achieved. Optical frequency combs can provide phase-coherent links between optical frequencies and microwaves, allowing for precise optical frequency generation; however current technologies require external optical references or multiple power-intensive peripherals that make them less suitable for on-chip applications. Here, the authors present phase stabilization of a frequency microcomb without nonlinear processes nor external optical reference signals.

Background Patients diagnosed with acute myeloid leukemia (AML) in childhood have a poor prognosis. A better understanding of prognostic factors will assist patients and clinicians in making difficult treatment decisions. Objectives To understand further the cytogenetic characteristics of and reassess the prognostic value of cytogenetic abnormalities in childhood AML. Methods Conventional karyotypes of 107 children with AML were analyzed retrospectively. The cases were divided into 4 groups based on genetic rearrangements; namely patients with: t(15;17)/PML-RARA; t(8;21)/RUNX1-RUNX1T1 or inv(16)(p13;q22) and t(16;16)/CBFB-MYH11; −7 or complex karyotypes; normal karyotypes or other cytogenetic changes. Differences in age, sex, leukocyte count, event-free survival (EFS), and overall survival (OS) were analyzed. Results All French-American-British (FAB) subtypes of AML were detected in 107 patients. We successfully cultured 81 of 107 bone marrow specimens, of which 60 cases had abnormal karyotypes. The most common abnormal karyotypes were t(8;21) (17/81 cases), followed by t(15;17) (13/81 cases), –X/Y (10/81 cases). There were no significant differences (P > 0.05) in age, sex, or leukocyte counts between the 4 groups. The differences in 3-year EFS and OS between each pair were significant, except for groups of patients with t(8;21)/RUNX1-RUNX1T1 and patients with normal karyotypes or other cytogenetic changes (P = 0.054). Conclusions Chromosomal abnormalities may provide important prognostic factors for AML in children and be helpful for risk stratification and individual treatment.

Cerebral ischemia/reperfusion (I/R) injury is an obstacle in treating ischemic stroke effectively. miR-98-5p has been reported to have the ability of reducing myocardial I/R injury. To explore the function of miR-98-5p in cerebral I/R, we established mice model of middle cerebral artery occlusion and reperfusion (MCAO/R). The level of miR-98-5p was found to be downregulated in serum of stroke patients and brain tissues of MCAO/R mice. Examination of brain tissues indicated that upregulating miR-98-5p level alleviated the infarction in MCAO/R mice. Moreover, the upregulation of miR-98-5p reduced reactive oxygen species production and enhanced superoxide dismutase activity in brain tissues of MCAO/R mice. These results indicating that miR-98-5p could protect against oxidative stress. Further study showed that miR-98-5p inhibited apoptosis by reducing the levels of death-associated protein kinase 1, B cell lymphoma/leukaemia-2 associated x protein and cleaved caspase-3, as well as increasing the level of B cell lymphoma/leukaemia-2. In addition, miR-98-5p was found to protect against oxidative stress through downregulating the level of BTB domain and CNC homology 1 and upregulating the levels of NAD(P)H: quinone oxidoreductase 1 and heme oxygenase 1. Therefore, miR-98-5p might be a potential target to treat cerebral I/R injury.

Objective To evaluate the performance of whole-genome sequencing (WGS) for predicting Mycobacterium tuberculosis (MTB) drug resistance. Methods 276 rifampin-resistance tuberculosis (RR-TB) and 30 rifampicin-sensitive clinical isolates were randomly selected from patients with tuberculosis in Shanghai Pulmonary Hospital (SPH). Phenotypic drug susceptibility testing (DST) against six anti-TB drugs was performed, and WGS was used to predict the drug resistance using an online ‘TB-Profiler’ tool. Results Using phenotypic susceptibility as the gold standard, the overall sensitivities and specificities for WGS were 94.53% and 92.00% for isoniazid, 97.10% and 100.00% for rifampicin, 97.46% and 64.36% for ethambutol, 97.14% and 95.83% or streptomycin, 93.02% and 98.87% for ofloxacin, and 75.00% and 100.00% for amikacin, respectively. The concordances of WGS-based DST and phenotypic DST were: isoniazid (94.12%), rifampicin (97.39%), ethambutol (77.12%), streptomycin (96.73%), ofloxacin (96.41%) and amikacin (97.06%). Conclusions WGS could be a promising approach to predict resistance to isoniazid, rifampicin, ethambutol, streptomycin, ofloxacin, and amikacin.

Objectives To report the cost-effectiveness of Xpert in detecting Mycobacterium tuberculosis (MTB) through a comprehensive systematic review. Methods Specialized bibliographic databases were searched. Study quality was evaluated by commonly-used industry standards. Due to heterogeneity, evidences were synthesized narratively. Results Four studies from intermediate-to-low tuberculosis (TB)-burdern areas and 17 studies from high-TB-burden areas were included. Smear microscopy, clinical diagnosis and chest radiography were mostly used for comparison. Cost elements varied considerably depending on the perspectives. Cost-effectiveness and cost-utility analyses were used by seven and fourteen studies, respectively. All studies were of high quality (CHEERS score of 78.4 and QHES score of 86.9). Average cost per test was 29.8 US$ for Xpert compared with 3.83 US$ for smear microscopy. Cost-effectiveness analyses mostly supported application of Xpert into areas under varying TB burdens. Conclusions Xpert seems cost-effective under respective willingness-to-pay thresholds in nations with differences in socioeconomy, HIV stress and geographical distribution. Nevertheless, policymakers will benefit from localized studies since regional economic/financial statuses and health-care system should also be considered apart from the reports of cost-effectiveness.

A novel hyperspectral image (HSI) classification method based on joint collaborative representation with shape adaptive region and locally adaptive dictionary (SALJCR) is proposed in this letter. First, the shape adaptive (SA) region is selected for each pixel to exploit the neighboring spatial information adaptively. The average filtering (according to SA regions) is performed for the whole image. Then, based on the filtered image, a locally adaptive dictionary is constructed for each test pixel to reduce the negative impact of irrelevant pixels on representation. Finally, a joint collaborative representation method is applied to decompose the pixels and assign the class label. Experimental results demonstrate that the proposed SALJCR method outperforms some state-of-the-art classifiers.

Femtosecond mode-locked laser frequency combs have served as the cornerstone in precision spectroscopy, all-optical atomic clocks, and measurements of ultrafast dynamics. Recently frequency microcombs based on nonlinear microresonators have been examined, exhibiting remarkable precision approaching that of laser frequency combs, on a solid-state chip-scale platform and from a fundamentally different physical origin. Despite recent successes, to date, the real-time dynamical origins and high-power stabilities of such frequency microcombs have not been fully addressed. Here, we unravel the transitional dynamics of frequency microcombs from chaotic background routes to femtosecond mode-locking in real time, enabled by our ultrafast temporal magnifier metrology and improved stability of dispersion-managed dissipative solitons. Through our dispersion-managed oscillator, we further report a stability zone that is more than an order-of-magnitude larger than its prior static homogeneous counterparts, providing a novel platform for understanding ultrafast dissipative dynamics and offering a new path towards high-power frequency microcombs.

Pancreatic cancer remains one of the leading causes of cancer-related deaths worldwide. Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic tumor. Many circular RNAs (circRNAs) have proven to play vital roles in the physiological and pathological processes of tumorigenesis; however, their biogenesis in PDAC remains unclear. In this study, the expression profiles of circRNAs from 10 PDAC tissues and their paired adjacent nontumor tissues were analyzed through RNA sequencing analysis. An enrichment analysis was employed to predict the functions of the differentially expressed circRNAs. Sequence alignment information and mRNA microarray projects were used to predict the RNA regulatory network. The knockdown of circRNAs by small interfering RNAs followed by wound healing and western blot assays was used to confirm their functions in a PDAC cell line. A total of 278 circRNAs were identified as differentially expressed in PDAC tissue. Of these, we found that hsa_circRNA_0007334 was significantly upregulated and may serve as a competing endogenous RNA to regulate matrix metallopeptidase 7 (MMP7) and collagen type I alpha 1 chain (COL1A1) by the competitive adsorption of hsa-miR-144-3p and hsa-miR-577 to enhance the expression and functions of MMP7 and COL1A1 in PDAC. In vitro experiments confirmed these results. The present study is the first to propose two regulatory pathways in PDAC: hsa_circRNA_0007334–hsa-miR-144-3p–MMP7 and hsa_circRNA_0007334–hsa-miR-577–COL1A1.

Predicting the downside risk of a hedge fund is the foundation of risk measurement. These predictions also provide conditions that can be used for designing and implementing risk prevention measures. Hence, this paper proposes a big data hedge fund downside risk evaluation model based on a multi-objective neural network. First, two evaluation indexes are defined. Then, local search is applied to merge parent and descendant populations. Only those individuals from the Pareto front are optimized. Experimental results suggest that this model and method is feasible and valid. Specifically, the VaR model is unable to estimate the possible extreme risk of a hedge fund. In contrast, the CVaR model can accurately measure the risks under extreme market conditions. However, a combination of VaR and CVaR can help a fund manager avoid extreme risks to a hedge fund.

Background: Phenotypes have been identified within heterogeneous disease, such as acute respiratory distress syndrome and sepsis, which are associated with important prognostic and therapeutic implications. The present study sought to assess whether phenotypes can be derived from intensive care patients with coronavirus disease 2019 (COVID-19), to assess the correlation with prognosis, and to develop a parsimonious model for phenotype identification.Methods: Adult patients with COVID-19 from Tongji hospital between January 2020 and March 2020 were included. The consensus k means clustering and latent class analysis (LCA) were applied to identify phenotypes using 26 clinical variables. We then employed machine learning algorithms to select a maximum of five important classifier variables, which were further used to establish a nested logistic regression model for phenotype identification.Results: Both consensus k means clustering and LCA showed that a two-phenotype model was the best fit for the present cohort (N = 504). A total of 182 patients (36.1%) were classified as hyperactive phenotype, who exhibited a higher 28-day mortality and higher rates of organ dysfunction than did those in hypoactive phenotype. The top five variables used to assign phenotypes were neutrophil-to-lymphocyte ratio (NLR), ratio of pulse oxygen saturation to the fractional concentration of oxygen in inspired air (Spo2/Fio2) ratio, lactate dehydrogenase (LDH), tumor necrosis factor α (TNF-α), and urea nitrogen. From the nested logistic models, three-variable (NLR, Spo2/Fio2 ratio, and LDH) and four-variable (three-variable plus TNF-α) models were adjudicated to be the best performing, with the area under the curve of 0.95 [95% confidence interval (CI) = 0.94–0.97] and 0.97 (95% CI = 0.96–0.98), respectively.Conclusion: We identified two phenotypes within COVID-19, with different host responses and outcomes. The phenotypes can be accurately identified with parsimonious classifier models using three or four variables.

Introduction. Mycobacterium avium complex (MAC) has been reported as the most common aetiology of lung disease involving nontuberculous mycobacteria. Hypothesis. Antimicrobial susceptibility and clinical characteristics may differ between Mycobacterium avium and Mycobacterium intracellulare . Aim. We aimed to evaluate the differences in antimicrobial susceptibility profiles between two major MAC species ( Mycobacterium avium and Mycobacterium intracellulare ) from patients with pulmonary infections and to provide epidemiologic data with minimum inhibitory concentration (MIC) distributions. Methodology. Between January 2019 and May 2020, 45 M. avium and 242 M . intracellulare isolates were obtained from Shanghai Pulmonary Hospital. The demographic and clinical characteristics of patients were obtained from their medical records. The MICs of 13 antimicrobials were determined for the MAC isolates using commercial Sensititre SLOWMYCO MIC plates and the broth microdilution method, as recommended by the Clinical and Laboratory Standards Institute (CLSI; Standards M24-A2). MIC50 and MIC90 values were derived from the MIC distributions. Results. M. intracellulare had higher resistance rates than M. avium for most tested antimicrobials except clarithromycin, ethambutol, and ciprofloxacin. Clarithromycin was the most effective antimicrobial against both the M. avium (88.89 %) and M. intracellulare (91.32 %) isolates, with no significant difference between the species (P=0.601). The MIC90 of clarithromycin was higher for M. avium (32 µg ml−1) than M. intracellulare (8 µg ml−1). The MIC50 of rifabutin was more than four times higher for M. intracellulare (1 µg ml−1) than M. avium (≤0.25 µg ml−1). The percentages of patients aged >60 years and patients with sputum, cough, and cavitary lesions were significantly higher than among patients with M. intracellulare infection than M. avium infections. Conclusions. The pulmonary disease caused by distinct MAC species had different antimicrobial susceptibility, symptoms, and radiographic findings.

We present a hybrid device based on graphene-coupled silicon (Si) photonic crystal (PhC) cavities, featuring triple light detection, modulation, and switching. Through depositing single-layer graphene onto the PhC cavity, the light-graphene interaction can be enhanced greatly, which enables significant detection and modulation of the resonant wavelength. The device is designed to generate a photocurrent directly by the photovoltaic effect and has an external responsivity of ∼14 mA/W at 1530.8 nm (on resonance), which is about 10 times higher than that off-resonance. Based on the thermo-optical effect of silicon and graphene, the device is also demonstrated in electro-optical and all-optical modulation. Also, due to the high-quality (Q) factor of the resonate cavity, the device can implement low threshold optical bistable switching, and it promises a fast response speed, with a rise (fall) time of ∼0.4 μs (∼0.5 μs) in the all-optical switch and a rise (fall) time of ∼0.5 μs (∼0.5 μs) in the electro-optical hybrid switch. The multifunctional photodetector, modulator, and optical bistable switch are achieved in a single device, which greatly reduces the photonic overhead and provides potential applications for future integrated optoelectronics.

Femtosecond mode-locked laser frequency combs have served as the cornerstone in precision spectroscopy, all-optical atomic clocks, and measurements of ultrafast dynamics. Recently frequency microcombs based on nonlinear microresonators have been examined – affording remarkable precision approaching that of laser frequency combs, and now on a solid-state chip-scale platform and from a fundamentally different physical origin. Here we unravel the transitional dynamics of frequency microcombs from chaotic background routes to femtosecond mode-locking in real-time, enabled by our ultrafast temporal magnifier metrology and enlarged stability of dispersion-managed dissipative solitons. Through our dispersion-managed oscillator, we report a stability zone more than an order-of-magnitude larger than prior static homogeneous counterparts, providing a novel platform for understanding ultrafast dissipative dynamics and offering a new path towards high-power frequency microcombs.

Ultrafast laser frequency microcombs provide equidistant coherent frequency markers over a broad spectrum, enabling new frontiers in chip-scale frequency metrology, laser spectroscopy, dense communications, precision metrology. Measuring and understanding the fundamental noise parameters in these high-clock-rate frequency microcombs are essential to advance the underlying physics and the precision microwave-optical clockwork. In this talk we describe the noise characteristics and timing jitter in adiabatic laser frequency microcombs. We compare and contrast the fundamental noise and fluctuation parameters for a series of laser frequency microcomb states, from multiple soliton to soliton crystals and single-soliton regimes. Each of the noise families and their noise coupling mechanisms are examined with our theoretical models. This aids the understanding of frequency, intensity and phase noise characteristics of frequency microcombs towards the precision limits.

Ultrafast optical switch based on plasmonic nanostructures has large application potentials in optical logic circuits and optical communication systems. Integration of plasmonic optical switching devices with optical fibers is a breakthrough for realizing practical applications in long‐range optical data transmission or communication techniques. Here, the incorporation of plasmonic optical switch devices onto the end facets of optical fibers is reported, so that the switched optical signals are generated by interaction between femtosecond laser pulses and plasmonic nanostructures on one end of the fiber, and are delivered via the fiber waveguide to the other end for detection or decoding. “Quenching” of localized surface plasmon in the gold nanowires by its interaction with band‐edge modulation in gold through strong optical excitation is the responsible photophysics. This work accomplishes for the first time the implementation of ultrafast plasmonic optical switch device on optical fiber tips for logic data transmission., Plasmonic optical switch consisting of gold nanowire (AuNW) grating is integrated onto the end facet of an optical fiber. The switched optical signals are generated by interaction between femtosecond laser pulses and AuNWs, which are delivered by the fiber waveguide to the unstructured end for detection/decoding. Band‐edge modulation in gold through strong intraband optical excitation is the responsible physics.

BackgroundTo verify the efficacy and safety of an inexpensive regimen for specific multidrug-resistant tuberculosis (MDR-TB) based on Minimum Inhibitory Concentration (MIC) Drug sensitivity test(DST), a prospective cohort study was conducted in China.MethodsMDR-TB cases were prospectively enrolled through a clinical access programmes with strict inclusion and exclusion criteria, given the regimen and followed up, observed the treatment outcome and adverse effects (AEs) .ResultsA total of 114 patients were enrolled into the study. The overall treatment favorable rate was 79.8% (91/114), among 91 cases with favorable treatment, 86(75.4%)cured and 5 (4.4%) completed treatment. 23 cases got unfavorable outcome including 10 8.8% (10/114) failures, 8.8%(10/114) losing follow up ,0.9%(1/114) withdrawing treatment due to intolerance to drugs and 1.8%(2/114 ) died,respectively. Treatment favorable rate was significantly higher in newly treated MDR-TB (91.7%, 33/36) than that in retreated MDR-TB (74.4%, 58/78, p = 0.03). The investigators recorded 42 AEs occurrences in 30 of 114 patients༈26.3%). Clinicians rated most AEs as mild or moderate (95.24%, 40/42) and no one was caused by Pa༈0%,0/114).ConclusionsThe regimen was proved to be effective, safe and inexpensive. It is suitable for specific drug resistant population in China, especially for newly-treated patients, which could be expected to be developed into a short-course therapy.Clinical Trials Registration: China Clinical Trial Registry ChiCTR- OPC-16009380

We present ultra-precision distance measurement based on spectral interferometer via single soliton microcomb generated in Si3N4 microresonator. We demonstrate 3-nm repeatability over a 23-mm non-ambiguity range via homodyne interferometry, over 1000s long-term stability.

We characterized the phase jitter of frequency microcomb with μrad phase resolution through fiber interferometry. The measured phase fluctuation PSD and integrated phase jitter are 2.588 mrad2/Hz at10 kHz and 0.126 rad at 100 μs.

Background Accumulated evidence has established that long non-coding RNA (lncRNA) is involved in the progress of Parkinson's disease (PD). SNHG7, a novel lncRNA, has been found to play a key role in tumorigenesis. However, the SNHG7 expression and its functional effects on PD remain uncharted. Methods RT-PCR was used to detect the expression of SNHG7, miR-425-5p and inflammatory cytokines in the plasma of PD patients and the healthy controls. Rotenone (Rot) was adopted to construct PD models in SD rats and SH-SY5Y cells, respectively. Gain- and loss- of functions of SNHG7 or miR-425-5p were conducted. The expression levels of Caspase3, tyrosine hydroxylase (TH), Iba1 in SD rat striatum was measured via immunohistochemistry and Western blot. Additionally, the expressions of inflammatory cytokines (IL-1β, IL-6, TNF-α) and oxidative stress factors (MDA, SOD, GSH-PX) in the brain tissues were examined using RT-PCR and ELISA. Moreover, the protein levels of TRAF5, I-κB, NF-κB, HO-1, Nrf2 were detected via Western blot. Bioinformatics was applied to predict the targeting relationship between SNHG7, miR-425-5p and TRAF5. Dual luciferase activity assay and RNA immunoprecipitation (RIP) assays were carried out to verify their interactions. Results SNHG7 was found up-regulated in PD patients while miR-425-5p expression was down-regulated (compared to healthy donors). Meanwhile, SNHG7 level was positively correlated with the level of inflammatory cytokines in PD patients. Functional experiments confirmed that SNHG7 downregulation or miR-425-5p overexpression attenuated neuronal apoptosis in the Rot-mediated PD model, TH-positive cell loss and microglia activation by mitigating inflammation and oxidative stress. Mechanistically, SNHG7 served as a competitive endogenous RNA (ceRNA) by sponging miR-425-5p and promoted TRAF5 mediated inflammation and oxidative stress. Conclusion Inhibition of SNHG7 ameliorated neuronal apoptosis in PD through relieving miR-425-5p/TRAF5/NF-κB signaling pathway modulated inflammation and oxidative stress.

Autophagy is an important mechanism for cellular homeostasis and survival during pathologic stress conditions in the kidney, such as ischemia-reperfusion (IR) injury. In this study, renal IR was induced in female C57BL/6 mice after melatonin administration. Renal function, histological damage, inflammatory infiltration, cytokine production, oxidative stress, antioxidant capacity, autophagy changing, apoptosis levels, and autophagy-associated intracellular signaling pathway were assessed to evaluate the impact of antecedent melatonin treatment on IR-induced renal injury. The administration of melatonin resulted in significantly preserved renal function, and the protective effect was associated with ameliorated oxidative stress, limited pro-inflammatory cytokine production, and neutrophil and macrophage infiltration. Moreover, autophagic flux was increased after melatonin administration while the apoptosis levels were decreased in the melatonin-pretreated mice. Using TAK-242 and CRX-527, we confirmed that MyD88-dependent TLR4 and MEK/ERK/mTORC1 signaling participated in melatonin-induced autophagy in IR mice. Collectively, our results provide novel evidence that antecedent melatonin treatment provides protection for the kidney against IR injury by enhancing autophagy, as regulated by the TLR4/MyD88/MEK/ERK/mTORC1 signaling pathway. Therefore, melatonin preconditioning offers a potential therapeutic approach to prevent renal IR injury related to various clinical conditions.

In this talk, first, we describe chip-scale coherent mode-locking in microresonator frequency combs, verified by interferometric femtosecond timing jitter measurements and phase-resolved ultrafast spectroscopy. Normal dispersion sub-100-fs mode-locking is also observed, supporting by nonlinear modeling and analytics. Second we describe the noise limits in full microcomb stabilization, locking down both repetition rate and one comb line against a reference. Active stabilization improves the long-term stability to an instrument-limited residual instability of 3.6 mHz per root tau and a tooth-to-tooth relative frequency uncertainty down to 50 mHz and 2.7×10−16. Third we describe graphene-silicon nitride hybrid microresonators for tunable frequency modes, variants of soliton mode-locked states and crystals, and controllable Cerenkov radiation. Our studies provide a platform towards precision spectroscopy, frequency metrology, timing clocks, and coherent communications.

Multispectral frequency combs provide new architectures for laser spectroscopy, clockwork, and high-capacity communications. Frequency microcombs have demonstrated remarkable impact in frequency metrology and synthesis, albeit with spectral bandwidth bounded by intrinsic second-order dispersion and consequently low-intensities at the spectral edges. Here we report coherent satellite clusters in multispectral regenerative frequency microcombs with enhanced intensities at the octave points and engineered frequency span. Beyond the conventional bandwidth of parametric oscillation, the regenerative satellites are facilitated by higher-order dispersion control, allowing for multiphase-matched parametric processes. The satellite span is deterministically controlled from 34 to 72 THz by pumped at C/L-bands, with coherence preserved with the central comb through the nonlinear parametric process. We further show the mirrored appearance of the satellite transition dynamics simultaneously with the central comb at each comb state. These multispectral satellites extend the scope of parametric-based frequency combs and provide a unique platform for clockwork, spectroscopy and communications. Microresonator Kerr frequency combs are promising systems for high-capacity optical communication schemes, but their bandwidth is limited by intrinsic chromatic dispersion. Here, coherent satellite clusters are observed beyond the conventional bandwidth of parametric oscillation, whose frequency can be tuned deterministically.

Dihydrotanshinone (DIH) is an extract of Salvia miltiorrhiza Bunge. It has been reported that DIH could regulate NF-κB signaling pathway. The aim of this study was to investigate whether DIH could protect mice from lipopolysaccharide (LPS)-induced acute lung injury (ALI) in mice. In this study, sixty mice were randomly divided into five groups, one group as blank control group, the second group as LPS control group, and the last three groups were pre-injected with different doses of DIH and then inhaled LPS for experimental comparison. After 12 h of LPS treatment, the wet-dry ratio, histopathlogical changes, and myeloperoxidase (MPO) activity of lungs were measured. In addition, ELISA kits were used to measure the levels of TNF-α and IL-1β inflammatory cytokines in bronchoalveolar lavage fluids (BALF), and western blot analysis was used to measure the activity of NF-κB signaling pathway. The results demonstrated that DIH could effectively reduce pulmonary edema, MPO activity, and improve the lung histopathlogical changes. Furthermore, DIH suppressed the levels of inflammatory cytokines in BALF, such as TNF-α and IL-1β. In addition, DIH could also downregulate the activity of NF-κB signaling pathway. We also found that DIH dose-dependently increased the expression of LXRα. In addition, DIH could inhibit LPS-induced IL-8 production and NF-κB activation in A549 cells. And the inhibitory effects were reversed by LXRα inhibitor geranylgeranyl pyrophosphate (GGPP). Therefore, we speculate that DIH regulates LPS-induced ALI in mice by increasing LXRα expression, which subsequently inhibiting NF-κB signaling pathway.

We demonstrate physically-secured image transfer using dynamical chaos synchronization between silicon optomechanical nanocavities. Chaos masking and pass filtering effect and color image with error correction are all realized in the silicon chip-based synchronous chaos system.

We demonstrate a novel all-dielectric, ultraviolet metasurface platform based on Tantalum Pentoxide, enabling high-performance meta-devices operating across the mid- and nearultraviolet frequency regimes.

We demonstrated a real-time parametric time magnifier (PTM) and recorded the ultrafast transitions between different soliton states in Kerr frequency comb.

In this paper, a novel weighted multiple-feature classifier based on sparse representation and locally dictionary collaborative representation (WMSLC) is put forward to improve the limited training samples’ hyperspectral image classification performance. The WMSLC method mainly includes the following steps. Firstly, Spectral feature, Extended Multi-attribute Profile (EMAP) feature and Gabor feature are applied as the multiple feature to describe the hyperspectral image from spectral and different spatial aspects. And weights are utilized to adjust the multiple-feature’s proportions to improve the efficiency of the classification. Secondly, a trade-off is given between different regularization residuals, sparse representation residuals and locally dictionary collaborative representation residuals. Here, the locally adaptive dictionary is implemented to reduce the irrelevant atoms to improve the classification performance. Finally, the test sample is assigned to the class, which has the minimal residuals. Experimental results on two real hyperspectral data sets (Indian Pines and Pavia University) demonstrate that the proposed WMSLC method outperforms several corresponding well-known classifiers when very limited numbers of training samples are available.

A compact wideband optical switch assisted by graphene nanosheet heater is demonstrated by shifting the bandedge of the photonic crystal waveguides (PhCWG) through current-induced heating. The high heating efficiency of graphene and the high light-matter interactions in slow-light PhCWG are combined to enhance the heating efficiency and extinction ratio. The extinction ratio is increased from 15 dB to 22 dB and the tuning bandwidth is up to 20 nm with only 28 K temperature change. Our measurements match well with simulation results, suggesting an effective way for CMOS compatible chip-scale integrated graphene microheater switch.

Although mass customization, which utilizes modularization to simultaneously increase product variety and maintain mass production (MP) efficiency, has become a trend in recent times, there are some limitations to mass customization. Firstly, customers do not participate wholeheartedly in the design phase. Secondly, potential combinations are predetermined by designers. Thirdly, the concept of mass customization is not necessary to satisfy individual requirements and is not capable of providing personalized services and goods. Industry 4.0 is a collective term for technologies and concepts of value chain organization. Based on the technological concepts of radio frequency identification, cyber-physical system, the Internet of things, Internet of service, and data mining, Industry 4.0 will enable novel forms of personalization. Direct customer input to design will enable companies to increasingly produce customized products with shorter cycle-times and lower costs than those associated with standardization and MP. The producer and the customer will share in the new value created. To overcome the gaps between mass customization and mass personalization, this paper presents a framework for mass personalization production based on the concepts of Industry 4.0. Several industrial practices and a lab demonstration show how we can realize mass personalization.

Byproduct gases are an important secondary energy source in the iron and steel industry. A novel mathematical programming model was established in this paper to study the optimal allocation of surplus gas in buffer users in the byproduct gas system, on the basis of which a new method for calculating the suitable capacities of gasholders and boilers was also proposed. The validity and practicability of the model and the design method were tested in an iron and steel enterprise. The results show that gas emissions were controlled, boiler efficiency was improved, and surplus gas-related power generation was increased by approximately 5 × 10 4 kW h in each hour compared with the actual data from the iron and steel enterprise. Finally, fitting curves of the relationship between the designed fuel load of the boiler and the capacity of the gasholder were obtained. Scientific guidance is thus provided for the improvement of buffer users in steel plants in the future.

Laser interferometry serves a fundamental role in science and technology, assisting precision metrology and dimensional length measurement. During the past decade, laser frequency combs---a coherent optical-microwave frequency ruler over a broad spectral range with traceability to time-frequency standards---have contributed pivotal roles in laser dimensional metrology with ever-growing demands in measurement precision. Here we report spectrally resolved laser dimensional metrology via a free-running soliton frequency microcomb, with nanometric-scale precision. Spectral interferometry provides information on the optical time-of-flight signature, and the large free-spectral range and high coherence of the microcomb enable tooth-resolved and high-visibility interferograms that can be directly read out with optical spectrum instrumentation. We employ a hybrid timing signal from comb-line homodyne, microcomb, and background amplified spontaneous emission spectrally resolved interferometry---all from the same spectral interferogram. Our combined soliton and homodyne architecture demonstrates a 3-nm repeatability over a 23-mm nonambiguity range achieved via homodyne interferometry and over 1000-s stability in the long-term precision metrology at the white noise limits.

[This submission is based on the contacts with Prof. Pavesi by code JMDC(100%.2019.FPHY.832).] Plasmonic structures possess rich physics related to the sensitivity of plasmon resonance to the change in the environmental dielectric constant, the enhanced light scattering and optical extinction, and the local field enhancement enabled strong light-matter interactions, which have been applied in refractive-index sensors, optical feedback in various micro- or nano-cavity lasers, surface enhanced Raman scattering spectroscopy, and high-sensitivity molecular detection. However, ultrafast optical response is another important aspect of plasmons, which can be utilized to achieve switching of optical signals in different spectral bands. These optical switching designs are very important for applications in optical logic circuits and optical communication system. In this review, we summarize a series of reports on ultrafast plasmonic optical switches, where we focus our discussions on the structural and device designs, instead of on their physics. By categorizing the designs of optical switches into different groups by their featured performances, we intend to propose the development trend and the commonly interested mechanisms of such ultrafast optical switches. We hope this review will supply helpful concepts and technical information for further development and new applications of ultrafast optical switching devices.

Objective: To investigate the drug resistance characteristics of Mycobacterium tuberculosis (MTB) isolates from patients with tuberculosis to 12 antituberculous drugs in China. Methods: All clinical isolates of MTB were isolated from patients with tuberculosis in Shanghai Pulmonary Hospital (SPH) during the period from January 1st to December 31th, 2018. Drug susceptibility testing (DST) was performed in micro plates with 12 antituberculous drugs in accordance with relevant guideline. Demographic information, including sex, age, and treatment history was recorded. Results: A total of 1,950 MTB isolates were included in this retrospective study which were isolated from 1,950 patients from 29 regions in China. One thousand six hundred and forty-four were initial treated and 306 were re-treated in the hospital. Two hundred and eight (10.67%, 208/1,950) cases were diagnosed as multidrug-resistant tuberculosis (MDR-TB), from which 74 (4.50%, 74/1,644) cases were initial treated, and the remaining (43.79%, 134/306) were re-treated cases. Besides, the percentage of extensively drug-resistant tuberculosis (XDR-TB) varied in such 3 different groups: 1.64% (32/1,950) in total cases, 0.30% (5/1,644) in initial treated cases and 8.82% (27/306) in re-treated cases. The total resistance rates were as follows: isoniazid (361, 18.51%), streptomycin (302, 15.49%), rifampin (241, 12.36%), ofloxacin (239, 12.26%), moxifloxacin (232, 11.90%), rifabutin (195, 10.00%), ethambutol (100, 5.13%), cycloserine (55, 2.82%), kanamycin (48, 2.46%), ethionamide (40, 2.05%), amikacin (39, 2.00%), and aminosalicylic acid (21, 1.08%). Rates of resistance to any drug in re-treated cases were significantly higher than in initial treated cases. The drug resistance rates of the 12 drugs were higher in males than in females. Patients older than 60 years had significantly lower percentages of MDR/XDR-TB (7.11 and 0.65%) than in younger age groups. The proportion of re-treated cases in Shanghai (11.38%, 88/773) was lower than that in other regions. Meanwhile, the percentages of MDR/XDR-TB in Shanghai (4.79 and 0.65%) were significantly lower than in other regions. Conclusions: In this study, we found higher proportion of MDR/XDR-TB among re-treated cases than initial treated cases in China and the drug resistance rate of tuberculosis varied with age, sex, and region, indicating that standardized anti-tuberculosis treatment can reduce the incidence of drug-resistant tuberculosis and the recurrence of tuberculosis.

Aggregation technology can integrate distributed energy resources (DERs) into resource aggregation (RA) to achieve efficient utilization of resources. This paper studies a DERs aggregation model to construct a RA. Firstly, considering the uncertainty of the output of distributed generation (DG), the characteristics of DG are analyzed and the daily eigenvalues are extracted. The contour coefficient is introduced and the improved K-means algorithm is used to cluster the daily eigenvectors to get the multiple probability scenarios in a single season. Then, in order to obtain a RA with lower daily average cost, better power generation characteristics and higher regional aggregation degree, the DERs aggregation model based on multi-scenario and multi-objective is established considering multiple constraints. To obtain a compromise optimal solution, the cellular bat algorithm based on fuzzy membership degree (FMD-CBA) is used to solve the model. Finally, the validity of the multi-scenario and multi-objective model in a single season is verified by an example.

Background Hepatic ischaemia-reperfusion (IR) injury is a common clinical challenge lacking effective therapy. The aim of this study was to investigate whether spermidine has protective effects against hepatic IR injury through autophagy. Methods Liver ischaemia reperfusion was induced in male C57BL/6 mice. Then, liver function, histopathology, cytokine production and immunofluorescence were evaluated to assess the impact of spermidine pre-treatment on IR-induced liver injury. Autophagosome formation was observed by transmission electron microscopy. Western blotting was used to explore the underlying mechanism and its relationship with autophagy, and TUNEL staining was conducted to determine the relationship between apoptosis and autophagy in the ischaemic liver. Results The results of the transaminase assay, histopathological examination, and pro-inflammatory cytokine production and immunofluorescence evaluations demonstrated that mice pre-treated with spermidine showed significantly preserved liver function. Further experiments demonstrated that mice administered spermidine before the induction of IR exhibited increased autophagy via the AMPK-mTOR-ULK1 pathway, and TUNEL staining revealed that spermidine attenuated IR-induced apoptosis in the liver. Conclusions Our results provide the first line of evidence that spermidine provides protection against IR-induced injury in the liver by regulating autophagy through the AMPK-mTOR-ULK1 signalling pathway. These results suggest that spermidine may be beneficial for hepatic IR injury.

Background Increasing evidence indicates that nonalcoholic fatty liver disease (NAFLD) is linked to an increased risk of extra-hepatic conditions. However, it is currently uncertain whether NAFLD is associated with the risk of gastroesophageal reflux disease (GERD). We performed a systematic review and meta-analysis of relevant studies to examine the association between NAFLD and the risk of GERD. Methods We searched PubMed, Scopus, Embase and Web of Science from 1 January 1975 to 15 December 2018, using predefined terms to identify cross-sectional, case-control and cohort studies investigating the association between NAFLD and GERD. Results Nine observational studies involving 185 118 subjects were eligible for inclusion in the meta-analysis. Overall, NAFLD was significantly associated with an increased risk of GERD (random effect OR 1.28; 95% CI: 1.12-1.44, I2 = 82%). Moreover, the significant association between NAFLD and GERD was consistent both for studies with adjusted OR/HR (n = 6, random effect OR = 1.16, 95% CI: 1.03-1.30) and those with unadjusted OR/HR (n = 3, random effect OR = 2.09, 95% CI: 1.62-2.56) as measures of effect. Both funnel plot and Egger's test suggested the existence of publication bias. However, a sensitivity analysis by sequentially omitting each study did not alter the pooled outcome,suggesting the robustness of the association. Conclusion NAFLD is associated with an increased risk of GERD. However, future large and cohort studies are still needed to determine the causal relationship between NAFLD and the risk of GERD.

We report the generation of coherent THz frequency combs in high-Q nonlinear microcavities. Driven by a continuous-wave laser and with Lugiato-Lefever formalism, the efficient THz Turing pattern has exceptional robustness and is observed in two-accompanying differential resonators. Square-spectrum combs are also observed, towards THz radiation.

Optical frequency combs are cornerstones in modern day frequency metrology, precision spectroscopy, astronomical observations, ultrafast optics, and quantum information. Based on the Kerr and Raman nonlinearities in monolithic ultrahigh- Q microresonators, chip-scale frequency combs have recently been examined, advancing studies in optical clockwork and observations of temporal cavity solitons. The intracavity dispersion, which determines the comb formation, is however hardly amenable to electric-field tunability – whether in microcavities or fiber cavities. Arising from its exceptional Fermi-Dirac tunability and ultrafast carrier mobility, graphene has a complex dispersion determined by its gate-tunable optical conductivity. It has brought about a variety of optoelectronic advances, ranging from modulators, photodetectors to controllable plasmonics. Here, combining the cross-disciplinary field of Dirac fermions in two-dimensional graphene, we show for the first time the gated intracavity-tunability of graphene-based optical frequency combs, by coupling the gate-tunable optical conductivity onto a photonic microresonator, thus modulating its second- and higher-order dispersions through the Fermi level. Preserving cavity quality factors up to 106 in the graphene-based comb, we implement a dual-layer ion-gel-gated transistor to tune the Fermi level of graphene up to 0.65 eV, under single-volt-level control. We uncover the formation of charge-tunable primary comb lines from 2.3 THz to 7.2 THz, coherent Kerr frequency combs, controllable Cherenkov radiation, and controllable soliton states – all in a single microcavity. We further demonstrate the voltage-tunable transitions from periodic soliton crystals to crystals with defects, mapped by our ultrafast second-harmonic optical autocorrelation. This heterogeneous graphene-microcavity provides a new fundamental platform for the understanding of dynamical frequency combs and ultrafast optics at the interface of single atomic layer nanoscience and ultrafast optoelectronics.

We report χ(2) and χ(3) frequency up-conversion in silicon nitride microcavities. Pumped by C-/L- band, a broadband frequency conversion from 437 nm to 816 nm is obtained based on regenerative satellite comb structures, with χ(2) process supported by nitride-oxide surface symmetry breaking.

The CO2 water-alternating-gas flooding (CO2-WAG) is a key technology to improve the oil recovery of low permeability reservoirs. The effect of CO2 flooding to enhance the oil recovery is affected by geological conditions and production systems. The effect of CO2 flooding parameters on the enhanced recovery factor should be clarified to optimize the production system. In this paper, the machine learning algorithms are used to carry out the study and establish a set of procedures for optimizing CO2 flooding parameters based on the artificial neural network (ANN) and the particle swarm optimization (PSO) algorithm. Firstly, large amounts of basic data are generated by the Monte Carlo sampling method. Then, the recovery factor by the water flooding and the CO2-WAG and the enhanced recovery factor by CO2-WAG in different models are calculated in the reservoir numerical simulator. Moreover, the machine learning method is used to establish a neural network model, and analysis of the sensitivity of parameters of the enhanced oil recovery (EOR) is carried out by combining with the Sobol method. Finally, the neural network model and the particle swarm algorithm are combined to optimize the parameters of CO2-WAG flooding. The results show that the established model has a good prediction accuracy (97.6%), thus it could be used to predict the enhanced recovery factor by CO2-WAG, and it is applicable in potential evaluation of enhancing the oil recovery and optimization for parameters in the CO2-WAG well group.

A highly efficient modular synthetic method for BN-fused polycyclic aromatic hydrocarbons (PAHs) composed of a borazaronaphthalene core along with multiple functionalized sites is reported. The halogenated 2,1-borazaronaphthalene cores are constructed through a ring-closing reaction between o-ethynylaniline derivatives and boron halides. The controllable halogen substituents make further derivatization of 2,1-borazaronaphthalene cores feasible by using metal-catalyzed cross-coupling reactions. On the basis of the carefully designed precursors, various functional aromatic rings can be fused to the azaborine core via a one-pot nucleophilic tandem reaction, affording previously inaccessible PAHs in moderate yields.

In this paper, we propose a novel residual fusion classification method for hyperspectral image using spatial–spectral information, abbreviated as RFC-SS. The RFC-SS method first uses the Gabor texture features and the non-parametric weighted spectral features to describe the hyperspectral image from both aspects of spatial and spectral information. Then it applies the residual fusion method to save the useful information from different classification methods, which can greatly improve the classification performance. Finally, the test sample is assigned to the class that has the minimal fused residuals. The RFC-SS classification method is tested on two classical hyperspectral images i.e. Indian Pines, Pavia University. The theoretical analysis and experimental results demonstrate that the RFC-SS classification method can achieve a better performance in terms of overall accuracy, average accuracy, and the Kappa coefficient when compared to the other classification methods.

In order to understand the application status of undergrowth ground cover plants in Tianjin parks, the planting area and distribution of understory ground cover plants in aquatic parks, nancui Ping parks and Changhong parks in Tianjin were investigated by the methods of whole garden investigation and sample plot investigation. The results showed that there were 9 species of understory plants in the three parks: Hosta plantaginea (Lam.), Duchesnea indica (Andr.), Sabina rocumbens (endl.), Agave sisalana perr. Ex Engelm., iris lactea, Hemerocallis fulva (L.) L., Buxus megistophylla, Sedum aizoon L. and Rubia cordifolia L., belonging to 9 families 9 Genus. Among them, Hosta plantag nea (Lam.), Duchesnea indica (Andr.) and Sabina rocumbens (endl.) grew well, while iris lactea, Sedum aizoon L. and Rubia cordifolia L. grew poorly. The planting area of Duchesnea indica (Andr.) is the largest, Hemerocallis fulva (L.) L. is the smallest; the ratio of planting area to total park area is the highest, followed by Sabina rocumbens (endl.). The results showed that there were horsta plantaginea (Lam.), Duchesnea indica (Andr.), Sabina rocumbens (endl.), iris lactea, Hemerocallis fulva (L.) L., Buxus megistophylla, and Rubia cordifolia L., Agave sisalana perR. Ex Engelm. And Sedum aizoon L. Duchesnea indica (Andr.) had the highest distribution density, and Hosta plantaginea (Lam.) had the highest frequency. In a word, Horta plantaginea (Lam.) was the most planted species, followed by Duchesnea indica (Andr.) and Sabina rocumbens (endl.), and the planting area of other species was the smallest.

Convolutional Neural Network (CNN) is an excellent deep learning algorithm. It can not only extract image features accurately, but also can reduce the complexity of the model. This paper combines the advanced technology of cognitive neurology, where we uses EEG equipment to read the real brain activity data when people make evaluation and at the same time we uses the eye-tracking equipment to collect the subject’s gaze point and gaze path, and then generates gaze hotspot map with gaze time. The CNN model is trained by the samples obtained by expert system scoring. Thanks to the advantages of CNN in image processing. AlexNet model with 8-layer network structure is used to extract the features of Brain Electrical Activity Mapping (BEAM) and gaze hot spot image, and then the Support Vector Machine (SVM) is used to classify and predict different degrees. Ultimately the product design features evaluation is achieved.

The demand from customer is becoming more and more personalized and with more requirements like shorter production time and lower price. To be able to solve these demands, the production would need to become extremely complex with difficulties in planning and operation. This could be solves by using smart manufacturing for mass customization. Mass customization involves using smart production to produce customized personal products or services at a high rate to a low cost. Internet of Things, Big Data and Cyber-Physical Systems are three important concepts of Industry 4.0. In SSPU, Industry 4.0 and smart manufacturing is currently being demonstrated in a laboratory where the user can customize their own toy house. The house consist of different panels (modules) that can be chosen from a variety of different designs and colors. The windows on the panels may also be customized by design and color. The production line consists of three assembly robots and one smaller robot for transporting the product to storage.

Recent advances in sub-wavelength nanoscale platforms have afforded the control of light from first principles, with impact to ultrafast sciences, optoelectronics and precision measurements. In this talk we will describe recent advances in chip-scale Kerr frequency comb oscillators, where we have achieved sub-100-fs mode-locking, stabilization down to a tooth-to-tooth relative frequency uncertainty of 50 mHz and 2.7×10^{−16}, and single-mode broadband frequency comb generation. Each of these are supported by linear and nonlinear numerical modeling. In this first chip-scale realization, coherent mode-locking is observed in the normal dispersion regime, verified by phase-resolved ultrafast spectroscopy at sub-100-attojoule sensitivities. The normal dispersion architecture uncovers the mode-locking mechanisms in Kerr frequency combs, matched with first-principles coupled-mode theory. In the second realization, we examine the noise limits in the full stabilization of chip-scale optical frequency combs. The microcomb’s two degrees of freedom, one of the comb lines and the native 18-GHz comb spacing, are simultaneously phase-locked to known optical and microwave references. Active comb spacing stabilization improves long-term stability by six orders of magnitude, reaching a record instrument-limited residual instability of 3.6 mHz per root tau. Comparing 46 nitride frequency comb lines with a benchmark fiber laser frequency comb, we demonstrate the unprecedented microcomb tooth-to-tooth relative frequency uncertainty down to 50 mHz and 2.7×10^{−16}. In the third realization, we report a novel design of Si3N4 microresonator in which single-mode operation, high quality factor, and anomalous dispersion are attained simultaneously. The novel microresonator consists of uniform single-mode waveguides in the semi-circle region, to eliminate bending induced mode coupling, and adiabatically tapered waveguides in the straight region, to avoid excitation of higher order modes. With this microresonator, we demonstrate broadband phase-locked frequency combs. This supports the focus towards chip-scale precision spectroscopy, timing, coherent communications, and astronomical spectrography.

We present theoretical modeling and characteristics of an apodized step-chirped ppLN waveguide for efficient and uniform broadband upconversion from 1580-nm comb to ∼984-nm comb with a 3dB bandwidth of 48.6-nm to interface with rare-earth solid-state quantum memories.

Intelligent manufacturing has become a development trend for manufacture industry. But there only have few labs that can demonstrate more comprehensive concepts of intelligent manufacturing. To fill the blank of this area and promote the development of intelligent manufacturing, we start this project and build up a platform that demonstrate how intelligent manufacturing system is working and upon which we can explore the feasible scheme for companies and teach students about intelligent manufacturing visually. We combine hardware like industrial robots, enterprise management software like MES, ERP and cloud platform to build a sustainable system of intelligent manufacturing. This platform is designed for scientific research, experimental teaching, enterprises training and work out solution for enterprises.