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Additional file 2: Figure S1. Emission spectra of myoepithelium, TN and tumor cells obtained with an excitation wavelength of 810 nm. Figure S2. Types of TN1. A Lesions surrounded by invasive breast cancer cells. B Lesions in duct. M: myoepithelium (white arrow). Figure S3. Types of TN2. A Lesions surrounded possibly DCIS with regressive changes. B Lesions in the stroma. Figure S4. Types of TN4. A Lesions surrounded by myoepithelium and tumor cells. B Lesions surrounded by collagen and tumor cells. C Lesions surrounded by tumor cells but with collagen fibers. M: myoepithelium (white arrow). Figure S5. 5-year DFS of patients with IBC stratified by tumor size ≤ 2 cm (A and B) and > 2 cm (C and D) in training and validation sets. Figure S6. Correlation analysis between individual TNs and 5-year DFS for three sets. Figure S7. Comparison of TN classification by MPM or H&E. In (A) and (C), TNs were classified as TN4 by MPM, because necrotic lesions were surrounded by collagen and tumor cells, while the corresponding TNs were classified as TN1 by H&E, because necrotic lesions on H&E images were only surrounded by tumor cells (B and D). White arrow: collagen, blue arrow: tumor cells.

Scaling bottlenecks the making of digital quantum computers, posing challenges from both the quantum and the classical components. We present a classical architecture to cope with a comprehensive list of the latter challenges {\em all at once}, and implement it fully in an end-to-end system by integrating a multi-core RISC-V CPU with our in-house control electronics. Our architecture enables scalable, high-precision control of large quantum processors and accommodates evolving requirements of quantum hardware. A central feature is a microarchitecture executing quantum operations in parallel on arbitrary predefined qubit groups. Another key feature is a reconfigurable quantum instruction set that supports easy qubit re-grouping and instructions extensions. As a demonstration, we implement the widely-studied surface code quantum computing workflow, which is instructive for being demanding on both the controllers and the integrated classical computation. Our design, for the first time, reduces instruction issuing and transmission costs to constants, which do not scale with the number of qubits, without adding any overheads in decoding or dispatching. Rather than relying on specialized hardware for syndrome decoding, our system uses a dedicated multi-core CPU for both qubit control and classical computation, including syndrome decoding. This simplifies the system design and facilitates load-balancing between the quantum and classical components. We implement recent proposals as decoding firmware on a RISC-V system-on-chip (SoC) that parallelizes general inner decoders. By using our in-house Union-Find and PyMatching 2 implementations, we can achieve unprecedented decoding capabilities of up to distances 47 and 67 with the currently available SoCs, under realistic and optimistic assumptions of physical error rate $p=0.001 and p=0.0001, respectively, all in just 1 \textmu s., Comment: 12 pages, 12 figures

Additional file 1: Table S1. Characteristics of patients in the training and validation sets. Table S2. Quantified patient-specific data based on the training set. Table S3. Clinicopathological variables of patients stratified by the presence/absence classification and TN classification in training and validation set. Table S4. Distribution of the four types of TN in training and validation sets. Table S5. Recurrence patterns of patients stratified by the presence/absence classification and TN classification. Table S6 (part 1). Univariate and multivariate Cox regression analysis of association of risk factors with 5-year DFS in patients with necrosis in the training set (only independent prognosticators were included in multivariate analysis). Table S6 (part 2). Univariate and multivariate Cox regression analysis of association of risk factors with 5-year DFS in patients with necrosis in the training set (all prognosticators, except endocrine therapy and targeted therapy strongly correlated with the molecular subtype, were included in multivariate analysis). Table S6 (part 3). Univariate and multivariate Cox regression analysis of association of risk factors with 5-year DFS in patients with necrosis in the training set (all prognosticators were included in multivariate analysis).

We develop an algorithmic framework for contracting tensor networks and demonstrate its power by classically simulating quantum computation of sizes previously deemed out of reach. Our main contribution, index slicing, is a method that efficiently parallelizes the contraction by breaking it down into much smaller and identically structured subtasks, which can then be executed in parallel without dependencies. We benchmark our algorithm on a class of random quantum circuits, achieving greater than 105 times acceleration over the original estimate of the simulation cost. We then demonstrate applications of the simulation framework for aiding the development of quantum algorithms and quantum error correction. As tensor networks are widely used in computational science, our simulation framework may find further applications. An efficient method for parallelizing the contraction of tensor networks pushes the boundaries for the classical simulation of quantum computation, and aids the development of quantum algorithms and hardware.

With the advent of quantum processors exceeding $100$ qubits and the high engineering complexities involved, there is a need for holistically benchmarking the processor to have quality assurance. Linear cross-entropy benchmarking (XEB) has been used extensively for systems with $50$ or more qubits but is fundamentally limited in scale due to the exponentially large computational resources required for classical simulation. In this work we propose conducting linear XEB with Clifford circuits, a scheme we call Clifford XEB. Since Clifford circuits can be simulated in polynomial time, Clifford XEB can be scaled to much larger systems. To validate this claim, we run numerical simulations for particular classes of Clifford circuits with noise and observe exponential decays. When noise levels are low, the decay rates are well-correlated with the noise of each cycle assuming a digital error model. We perform simulations of systems up to 1,225 qubits, where the classical processing task can be easily dealt with by a workstation. Furthermore, using the theoretical guarantees in Chen et al. (arXiv:2203.12703), we prove that Clifford XEB with our proposed Clifford circuits must yield exponential decays under a general error model for sufficiently low errors. Our theoretical results explain some of the phenomena observed in the simulations and shed light on the behavior of general linear XEB experiments.

Additional file 5. Primer and probe sequence information.

Fast classical processing is essential for most quantum fault-tolerance architectures. We introduce a sliding-window decoding scheme that provides fast classical processing for the surface code through parallelism. Our scheme divides the syndromes in spacetime into overlapping windows along the time direction, which can be decoded in parallel with any inner decoder. With this parallelism, our scheme can solve the decoding throughput problem as the code scales up, even if the inner decoder is slow. When using min-weight perfect matching and union-find as the inner decoders, we observe circuit-level thresholds of $0.68\%$ and $0.55\%$, respectively, which are almost identical to $0.70\%$ and $0.55\%$ for the batch decoding., Comment: Main text: 6 pages, 3 figures. Supplementary material: 18 pages, 14 figures. V2: added data and updated general formalism

Zijuan tea is a representative anthocyanin-rich tea cultivar in China. In this study, Zijuan tea was used to produce a novel kombucha beverage (ZTK). The physicochemical, sensory properties, and antioxidant activity of ZTK were compared with that of black tea kombucha (BTK) and green tea kombucha (GTK). Results indicated that after fermentation, the color of ZTK changed from yellowish-brown to salmon-pink, because its anthocyanins (4.5 mg/L) appeared red in acidic conditions. Meanwhile no significant changes of color were observed in BTK and GTK. The dynamic changes of pH, biomass, and concentrations of sugars, amino acids, and main organic acids were similar in three kombucha beverages, except catechins showing different trends. Moreover, ZTK showed the highest overall acceptability score, antioxidant activity, and concentration of volatiles among the three kombucha beverages. Therefore, Zijuan tea is suitable for the preparation of kombucha beverage with attractive color and health benefits.

Supplemental material, sj-pdf-1-ipe-10.1177_20416695211018714 for The Modulation of Exogenous Attention on Emotional Audiovisual Integration by Yueying Li, Zimo Li, Aihui Deng, Hewu Zheng, Jianxin Chen, Yanna Ren and Weiping Yang in i-Perception

Supplemental material, sj-pdf-1-ipe-10.1177_20416695211018714 for The Modulation of Exogenous Attention on Emotional Audiovisual Integration by Yueying Li, Zimo Li, Aihui Deng, Hewu Zheng, Jianxin Chen, Yanna Ren and Weiping Yang in i-Perception

Additional file 1: Supplementary Methods: 1.1 Multiphoton imaging system. 1.2 TACS-score calculation formula. 1.3 Morphological features. 1.4 Texture features. 1.5 TCMF-score calculation formula. Figures S1-S10: Fig. S1. Recruitment pathways for patients. Fig. S2. Distribution histogram of TCMF-score, TACS-score and TCMF+TACS-score. Fig. S3. Hazard ratio of 5-year recurrence for all patients according to the TCMF+TACS-score classifier in different subgroups stratified by clinical parameters. Fig. S4. Forest plot shows the concordance index (C-index) of different prediction models (TCMF, TACS, and TCMF+TACS) in the different risk combination patients. Fig. S5. Kaplan-Meier survival curves for comparing the risk stratification ability of the CLI-score under four different situations (TACS-low risk and TCMF-low risk, TACS-high risk and TCMF-low risk, TACS-low risk and TCMF-high risk, TACS-high risk and TCMF-high risk). Fig. S6. Nomogram and Calibration curves. Fig. S7. TCMF selection using LASSO cox regression analysis. Fig. S8. Schematic of extracting TACS corresponding microscopy features (TCMF). Fig. S9. Kaplan-Meier curves of DFS according to the CLI, TCMF, TACS, TCMF+TACS, and CLI+TCMF+TACS models for the low risk and high risk patients classified by the treatment guideline. Fig. S10. Representative MPM images of three patients to illustrate the extraction of TCMF. Tables S1-S11: Table S1. Univariate and multivariate Cox proportional hazards regression analyses of the association of variables with DFS in the training cohort. Table S2. Univariate and multivariate Cox proportional hazards regression analyses of the association of variables with DFS in the internal validation cohort. Table S3. Univariate and multivariate Cox proportional hazards regression analyses of the association of variables with DFS in the external validation cohort. Table S4. Risk stratification ability of TCMF+TACS-score in subgroups of the three cohorts. Table S5. Risk stratification ability of the five prediction models in three cohorts. Table S6. Prognosis performance of the five models at 5-year DFS in patients stratified by the combination of different risk factors. Table S7. The number of likely undertreated (orange-highlighted) and overtreated (purple-highlighted) patients according to the Chinese treatment guideline and four models. Table S8. Morphological features. Table S9. First order intensity histogram features. Table S10. Grey-level co-occurrence matrix-based features. Table S11. Gabor wavelet transform features.

A cooperative estimation algorithm is proposed for mutli-sensor networks with imprecise measurements caused by electromagnetic interferences, abnormal currents and other faults in the multi-sensor measurement process. Adaptive schemes based on a reference model are introduced to overcome the adverse effects of multiplicative interference on the estimated information. Then, rigorous theoretical proofs are developed to analyze the adaptive estimation algorithm. Finally, numerical simulation results are carried out to verify the effectiveness of the theoretical analysis.

With the vigorous development of distributed energy, the national energy industry has undergone major changes, but the imperfection of distributed energy trading systems has limited the development of distributed energy in China. Blockchain technology, as a disruptive information and communication technology, has brought about major changes in the financial and energy industries due to its decentralization, security, openness and independence. Distributed energy trading combined with blockchain can create a decentralized electricity market and promote the development of distributed energy. In this paper the market situation of distributed energy trading is analyzed and a distributed energy trading scheme is designed based on distributed energy trading and blockchain technology. The pain points of opaque information and cumbersome transaction are solved by combining the advantages of the blockchain, which gives users more initiative.

With the increasing demand of distributed energy in the energy system, the existing centralized energy trading model can no longer meet the effective interaction of a large number of distributed energy entities in the case of non-trust. Considering the advantages of low energy consumption and high efficiency of graphene blockchain, a distributed energy trading architecture and process based on graphene blockchain is designed. The trading system consists of five levels: user layer, application layer, contract layer, network layer and data layer, with clear overall architecture, self-discipline node and strong scalability and optimization. The entire transaction process is automatically completed on time through smart contracts, effectively improving the automation and intelligence of the transaction under the premise of ensuring the rights of both parties to the transaction. Through the comparative analysis of different distributed energy trading modes, the distributed energy trading model based on graphene blockchain has high feasibility, advancement and sustainability.

High speed mid-wave infrared (MWIR) photodetectors have important applications in the emerging areas such high-precision frequency comb spectroscopy and light detection and ranging (LIDAR). In this work, we report a high-speed room-temperature mid-wave infrared interband cascade photodetector (ICIP) based on a type-II InAs/GaSb superlattice. The devices show an optical cut-off wavelength around 5um and a 3-dB bandwidth up to 7.04 GHz. The relatively low dark current density around 9.39 x 10-2 A/cm2 under -0.1 V is also demonstrated at 300 K. These results validate the advantages of ICIPs to achieve both high-frequency operation and low noise at room temperature. Limitations on the high-speed performance of the detector are also discussed based on the S-parameter analysis and other RF performance measurement.

We report, in a sequence of notes, our work on the Alibaba Cloud Quantum Development Platform (AC-QDP). AC-QDP provides a set of tools for aiding the development of both quantum computing algorithms and quantum processors, and is powered by a large-scale classical simulator deployed on Alibaba Cloud. In this note, we simulate a distance-3 logical qubit encoded in the 17-qubit surface code using experimental noise parameters for transmon qubits in a planar circuit QED architecture. Our simulation features crosstalk induced by ZZ-interactions. We show that at the current-stage noise levels, crosstalk contributes significantly to the dephasing of the logical qubit. This results in a total phase-flip probability of $\sim 0.6\%$, about $60\%$ higher than expected without considering crosstalk. This indicates that for the code considered, the current noise parameters approach, but do not yet meet, the break-even fault-tolerance regime., Comment: 23 pages, 6 figures

Semantic segmentation with deep learning has achieved great progress in classifying the pixels in the image. However, the local location information is usually ignored in the high-level feature extraction by the deep learning, which is important for image semantic segmentation. To avoid this problem, we propose a graph model initialized by a fully convolutional network (FCN) named Graph-FCN for image semantic segmentation. Firstly, the image grid data is extended to graph structure data by a convolutional network, which transforms the semantic segmentation problem into a graph node classification problem. Then we apply graph convolutional network to solve this graph node classification problem. As far as we know, it is the first time that we apply the graph convolutional network in image semantic segmentation. Our method achieves competitive performance in mean intersection over union (mIOU) on the VOC dataset(about 1.34% improvement), compared to the original FCN model.

It is believed that random quantum circuits are difficult to simulate classically. These have been used to demonstrate quantum supremacy: the execution of a computational task on a quantum computer that is infeasible for any classical computer. The task underlying the assertion of quantum supremacy by Arute et al. (Nature, 574, 505--510 (2019)) was initially estimated to require Summit, the world's most powerful supercomputer today, approximately 10,000 years. The same task was performed on the Sycamore quantum processor in only 200 seconds. In this work, we present a tensor network-based classical simulation algorithm. Using a Summit-comparable cluster, we estimate that our simulator can perform this task in less than 20 days. On moderately-sized instances, we reduce the runtime from years to minutes, running several times faster than Sycamore itself. These estimates are based on explicit simulations of parallel subtasks, and leave no room for hidden costs. The simulator's key ingredient is identifying and optimizing the "stem" of the computation: a sequence of pairwise tensor contractions that dominates the computational cost. This orders-of-magnitude reduction in classical simulation time, together with proposals for further significant improvements, indicates that achieving quantum supremacy may require a period of continuing quantum hardware developments without an unequivocal first demonstration., Comment: This manuscript subsumes arXiv:1805.01450 and arXiv:1907.11217, significantly improving on both

The objective of this meta-analysis was to identify the correlation between arterial blood gas (ABG) and venous blood gas (VBG) analysis in patients with acute exacerbation chronic obstructive pulmonary disease (AECOPD). Seven relevant literature entries from PubMed, the Cochrane Library, Google Scholar, and China National Knowledge Infrastructure (CNKI) on 1234 patients were included in the analysis. Variables derived from the investigations, which were presented as mean ± standard deviation (SD) in both ABG and VBG, were converted into mean differences (MDs) (mean ± SD) by subtracting venous values from arterial values. For the purposes of pooling the MDs, 95% confidence intervals (CIs) were required. Stata version 13.0 software was used to perform the statistical analysis. As a result, the pooled MD for the potential of hydrogen (pH) was 0.02 pH units (ABG minus VBG) (95% CI, 0.02–0.03), for partial pressure of carbon dioxide (PCO2) −2.91 mm Hg (95% CI, −4.23 to −1.59), for partial pressure of oxygen (PO2) 13.13 mm Hg (95% CI, 9.13–17.12), and for bicarbonate (HCO3−) −0.22 mmol/l (95% CI, −0.62 to 0.18). In conclusion, VBG analysis compares well with ABG for pH, PCO2, and HCO3 estimations, but not for PO2 in patients with AECOPD.

The effects of brewing water on the sensory attributes and physicochemical properties of tea infusions made from Chinese teas were investigated. The tea infusions brewed in water with higher pH and total dissolved solids (TDS), generally had a darker color and lower overall sensory acceptability. Moreover, those infusions had less catechins, particularly galloylated-catechins, and lower antioxidant capacity. The teas with less fermentation contained more galloylated-catechins and had higher antioxidant capacity, but were much more susceptible to high mineral brewing water. Green tea was proved to be the most susceptible one, whereas dark tea the most stable one. Green tea infusions prepared with higher pH/TDS water were more rapidly oxidized, resulting in a darker color due to polymerization of catechins, when exposed to the air. These findings suggested that low mineral brewing water was better for Chinese tea, both from the sensory and health benefit perspectives.

The physicochemical characteristics, sensory quality, and antioxidant activity of tea infusions prepared with purified water (PW), mineral water (MW), mountain spring water (MSW), and tap water (TW) from Hangzhou were investigated. The results showed that the taste quality, catechin concentration, and antioxidant capacity of green, oolong, and black tea infusions prepared using MW and TW were significantly lower than those prepared using PW. Extraction of catechins and caffeine was reduced with high-conductivity water, while high pH influenced the stability of catechins. PW and MSW were more suitable for brewing green and oolong teas, while MSW, with low pH and moderate ion concentration, was the most suitable water for brewing black tea. Lowering the pH of mineral water partially improved the taste quality and increased the concentration of catechins in the infusions. These results aid selection of the most appropriate water for brewing Chinese teas.

Aroma deterioration is one of the biggest problems in processing tea beverages. The aroma of tea infusion deteriorates fast during heat sterilization and the presence of ferrous ion (Fe2+) aggravates it. The underlying mechanism remains unveiled. In this study, Fe2+ was verified to deteriorate the aroma quality of green tea infusion with heat treatment. Catechins were necessary for Fe2+-mediated aroma deterioration. By enhancing the degradation of catechins, Fe2+ dramatically increased the production of hydrogen peroxide (H2O2). Fe2+ and H2O2 together exacerbated the aroma of green tea infusion with heat treatment. GC-MS analysis revealed that the presence of Fe2+ enhanced the loss of green/grassy volatiles and promoted the formation of new volatiles with diversified aroma characteristics, resulting in a dull scent of green tea infusion. Our results revealed how Fe2+ induced aroma deterioration of green tea infusion with heat treatment and could help guide tea producers in attenuating the aroma deterioration of tea infusion during processing.

Fresh tea leaves were crushed into juice and then fermented (oxidation) to obtain fermented black tea juice, which can be used to prepare black tea beverage. The effects of addition of oolong tea infusion or tossing of tea leaves on the sensory quality and theaflavins (TFs) concentration of fermented black tea juice were investigated. The results showed that both addition of tea infusion and tossing of fresh tea leaves increased the TFs/thearubigins (TRs) ratio and improved the sensory quality of fermented black tea juice. The TFs/TRs ratio was found to be significantly correlated with the scores for flavor (r = 0.98), mouth feel (r = 0.94), and overall acceptability (r = 0.91) of the fermented black tea juices from different processes. This result suggested that a relatively high concentration of catechins and stepwise enzymatic oxidation were the crucial factors that increased the TFs/TRs ratio and improved the sensory quality. The combination of adding tea infusion and tossing fresh tea leaves greatly improved the quality of the fermented black tea juice by markedly increasing the TFs/TRs ratio (87%). Results of the present study provided useful information for improving the quality of fermented black tea juice.

This paper proposes two different electric-continuously variable transmission (EVT) configurations for a typical hybrid electric bus (HEB). The two proposed configurations are the Output-split Configuration with Dual Planetary gearsets (OCDP) and the Input-split Configuration with Single Planetary gearset equipped with a Clutch (C-ICSP), respectively. Then the power performance and efficiency of the two configurations are analyzed and compared based on the lever analogy. The analysis indicates the OCDP cannot apply for the HEB because the motor speed exceeds the reasonable range, because the efficiency in high-speed area is low. Only the C-ICSP has good applicability to the HEB.

In this work, we introduce a new circuit optimization technique to reduce the number of T gates in Clifford+T circuits by treating T gates conjugated by Clifford gates as $\frac��{4}$-rotations around Pauli operators. The tested benchmarks shows up to $71.43\%$ and an average $42.67\%$ reduction in T-count, both surpass the best performance reported. The worst case complexity of our algorithm is $O(nk^2)$ where $n$ is the number of qubits and $k$ is the number of T gates in the original Clifford+T circuit., 10 pages, 2 figures, comments are welcome

We report, in a sequence of notes, our work on the Alibaba Cloud Quantum Development Platform(AC-QDP). AC-QDP provides a set of tools for aiding the development of both quantum computing algorithms and quantum processors, and is powered by a large-scale classical simulator deployed on Alibaba Cloud. In this note, we report the computational experiments demonstrating the classical simulation capability of AC-QDP. We use as a benchmark the random quantum circuits designed for Google's Bristlecone QPU {\cite{GRCS}}. We simulate Bristlecone-70 circuits with depth $1 + 32 + 1$ in $0.43$ second per amplitude, using $1449$ Alibaba Cloud Elastic Computing Service (ECS) instances, each with $88$ Intel Xeon(Skylake) Platinum 8163 vCPU cores @ 2.5 GHz and $160$ gigabytes of memory. By comparison, the previously best reported results for the same tasks are $104$ and $135$ seconds, using NASA's HPC Pleiades and Electra systems, respectively ({arXiv:1811.09599}). Furthermore, we report simulations of Bristlecone-70 with depth $1+36+1$ and depth $1+40+1$ in $5.6$ and $580.7$ seconds per amplitude, respectively. To the best of our knowledge, these are the first successful simulations of instances at these depths., Comment: 5 pages, 1 figure. Comments are welcome. We renamed our platform to avoid confusion with other products with similar name

Docker is rapidly changing the rules of operation in the field of cloud computing, and completely subverts the development of cloud technology. Swarm is a Docker container-based cluster management tool. By analyzing and researching the overall architecture and scheduling strategy of Swarm, in this paper, we propose a Particle Swarm Optimization-based container scheduling algorithm of Docker platform, which to have solved the problem of insufficient resource utilization and load balance. We distribute application containers on Docker hosts, balance resource usage, and ultimately improve application performance. Experimental results show that the performance of the PSO is improved 20% and 19% higher than the spread and improved random respectively under the same host configuration.

Cloud computing provides a variety of services. However, the data center for cloud computing consumes a lot of power. Reducing the power consumption of data center is very important. In this paper, we propose a Power-aware ACO algorithm for the cloud computing platform, which optimizes the ACO algorithm with the goal of minimizing power consumption. In order to solve the problem of too many hosts for migration that the classic ACO cannot solve, we treat the idle hosts and active hosts differently. Together with the initialization based on the modified Power-aware Best Fit Decreasing algorithm, our Power-aware ACO can handle VM migration problems no matter there are too many hosts or not. The simulation results show that our Power-aware ACO is able to reduce 20% and 91% power consumption compared with VMP-ACO in two different circumstances. In addition, our algorithm is also proved to be stable and reliable after different tests with various initial conditions.

Flavor stability is important for the quality of tea beverages. Baking is a typical processing technology to improve the flavor of tea leaves. In present study, seven raw tea materials, including steamed spring and autumn tea leaves, pan-fired spring tea leaves, and their corresponding baked tea leaves, were used to investigate the effect of baking on flavor stability of green tea beverages. The results showed that tea beverages prepared with baked tea had better flavor stability. The baking process obviously changed the concentrations of some important flavor substances, especially the aromatic pyrrole substances from 0 (unbaked) to 338.13 μg/L (baked) in tea beverages. Heat treatment had little influence on the flavor of tea beverages prepared from baked tea, but caused great changes in non-volatile and volatile components in those prepared from unbaked leaves. These results could help guide the processing of tea beverages which would improve their flavor quality stability.

Power supply enterprises are facing power customer promises to bring the risk of arrears, in order to avoid the risk of customer arrears, a large power customer arrear predicting model is of great significance, through analysis of large customers to quarter data to predict the coming development trend of arrears to guide the power supply enterprise to make decisions. In response to this demand put forward a nonparametric method to predict the trend of arrears. The method by comparing a fundraising events of recent trends in activity and collected plenty of historical data on electricity consumption and dynamic data trend of delinquent trend was predicted. As the power supply enterprise to develop recovery plans based on electricity, it establishes risk control principles and strategies. The experimental results show that the algorithm maintains a low error rate, which verifies the effectiveness of the algorithm.

Hepatocellular carcinoma (HCC) is one of the most prevalent malignancies worldwide. Although surgery is known as the most promising radical treatment, a high recurrent or metastatic rate after surgery has limited its clinical efficacy. Sorafenib, a target agent, has seemed to be the only option for metastatic HCC patients to date, but none of clinical trials showed it could prolong the overall survival (OS) of advanced HCC to 1 year. How to prolong the OS and improve cure rate of HCC patients is still beset with difficulties. This report presents a rare case of recurrent HCC patient with complete regression of target lesion with 2 years of Chinese herbal treatment. A 64-year-old Chinese man with hepatitis B virus–associated chronic hepatitis presented HCC has been clinically diagnosed tumor relapse and omentum metastasis with computed tomography and α-fetoprotein blood test 4 months after surgery. It was decided the patient would receive traditional Chinese medicine treatment because of poor prognosis. After approximately 2 years of treatment, recurrent hepatic tumor and omentum metastasis have been found in complete regression. The patient remains alive over 31 months after relapse.

D-(+)-glucose (Glc) was added to the original Fricke polyvinyl alcohol–glutaraldehyde–xylenol orange (FPGX) hydrogel dosimeter system to make a more stable FPGX hydrogel three-dimensional dosimeter in this paper. Polyvinyl alcohol was used as a substrate, which was combined with Fricke solution. Various concentrations of Glc were tested with linear relevant fitting for optimal hydrogel production conditions. The effects of various formulations on the stability and sensitivity of dosimeters were evaluated. The results indicated that D-(+)-Glc, as a free radical scavenger, had a great effect on stabilizing the dose response related to absorbency and reducing the auto-oxidization of ferrous ions. A careful doping with Glc could slow down the color change of the dosimeter before and after radiation without any effect on the sensitivity of the dosimeter.

The present study aims to improve the sweet aftertaste and overall acceptability of green tea infusion by hydrolyzing (-)-epigallocatechin gallate (EGCG) and (-)-epicatechin gallate (ECG) with tannase. The results showed that the intensity of the sweet aftertaste and the score of overall acceptability of the green tea infusion significantly increased with the extension of the hydrolyzing treatment. (-)-Epigallocatechin (EGC) and (-)-epicatechin (EC) were found to be the main contributors for the sweet aftertaste, based on a trial compatibility with EGCG, ECG, EGC, and EC monomers, and a synergistic action between EGC and EC to sweet aftertaste was observed. A 2.5:1 (EGC/EC) ratio with a total concentration of 3.5 mmol/L gave the most satisfying sweet aftertaste, and the astringency significantly inhibited the development of the sweet aftertaste. These results can help us to produce a tea beverage with excellent sweet aftertaste by hydrolyzing the green tea infusion with tannase.

In order to meet the intelligent function of the switchgear, the fault transmission method of the switchgear based on the Internet of Things is researched and designed. Firstly, use the data collection terminal and monitor to monitor the parameters in the switchgear and transmit the detected faults; Secondly, use the Internet of Things method to design a monitoring switch platform to provide an operating environment for fault monitoring; Finally, verify the accuracy of the IOT(internet of things) technology in the fault transmission of switchgear.

3D modeling is a hot topic in the field of computer vision. With the appearance of the RGB-D camera, the 3D modeling becomes more convenient. However, during the modeling procedure, it will suffer from the error of pair-wise views registration, especially with the off-shelf sensor. In this paper we attempt to model the object in 3D space by using the Kinect sensor to scan the object on a rotating platform. To ensure the feasibility and modeling accuracy, we remove the non-overlapping points between adjacent frame cloud points during the pair-wise views registration, and propose a triangular UV mapping method to map the texture on the surface of object to the 3D model. Experimental results show that our solution could reconstruct the 3D model with high accuracy.

A colorless transparent hydrogel SSA-Ferrous-PVA was prepared as a 3D dosimeter using 5-sulfosalicylic acid. Under serial doses of irradiation by a 60Co source, dosimeter turned into pink with serial color densities. The resulting color densities were characterized by a UV–vis spectrophotometer at the fixed wavelength of 505 nm. Various concentrations of 5-sulfosalicylic acid and ferrous ammonium sulfate were tested by linear relevant fitting for optimal hydrogel production conditions. The effects of various formulations were evaluated on the stability and sensitivity of dosimeters. The slopes of diffusion curves were measured and used to evaluate the diffusion rates of irradiated dosimeters. Results indicated that a careful doping with 5-sulfosalicylic acid produced a hydrogel with a colorless transparent background and an optimal dosimeter with a low diffusion rate, good stability, and great linearity of dose response.

Bitterness and astringency are two important quality attributes of green tea infusion, and catechins are the main contributor to the bitterness and astringency. The aim of this work was to quantitatively analyse the bitterness and astringency of green tea infusion according to the concentrations of catechins. The concentration–taste curves of catechins showed a pattern that fit the cubic functions, and their R2 values were higher than 0.956. The bitterness of green tea was highly correlated with the concentrations of (−)-epigallocatechin gallate and (−)-epicatechin gallate (ECG) (R2 = 0.7769, p

The physicochemical properties of tea extracts are significantly affected by the extraction method. The aim of this study was to compare the effects of static and dynamic extractions on the concentrations of chemical components and taste quality of green tea extracts. Our results show that extraction of chemical components using static extraction follows a pseudo-second-order reaction, while that of dynamic extraction follows a first-order reaction. The concentrations of the solids, polyphenols, and free amino acids in green tea extract prepared by dynamic extraction were much higher, although the overall yields were not significantly different between the two extraction methods. Green tea extracts obtained via dynamic extraction were of lower bitterness and astringency, as well and higher intensities of umami and overall acceptability. These results suggest that dynamic extraction is more suitable for the processing of green tea concentrate because of the higher concentration of green tea extract.

The effects of Ca2 + on the taste of green tea infusions and solutions of the main taste compounds were studied. Increasing the Ca2 + concentration influenced the appearance and the taste of the tea infusions prepared from instant green tea by weakening the bitter, umami and sweet tastes and by strengthening the astringent taste. Ca2 + enhanced the astringent taste of EGCG, caffeine and theanine solutions and weakened the bitter taste of EGCG and caffeine solutions, the umami taste of the theanine solution and the sweet taste of theanine and sucrose solutions. Synergistic or countervailing actions were found among the taste substances: EGCG and caffeine could strengthen each other's astringent and bitter tastes; theanine could weaken the astringent taste of the EGCG solution, and caffeine could strengthen the umami taste of the theanine solution. The results suggest that green tea infusion prepared from instant green tea should use water with low Ca2 + concentration.

In order to fulfill the requirement of the rigorous constraints on weight, volume and power, the integrated electronics system (IES) has been firstly developed for the ChangE-3 Lunar Rover. The electronics system of the Lunar Rover has been optimized by the integrated design method for both the hardware and the software. In this paper, we present how the IES was designed and realized from the function composition, design principle and solution, system architecture, detailed realization of hardware/software to the experimental verification and validation. The flight experiment results of the ChangE-3 Lunar Rover showed that the IES has completed the task of the project successfully, in which the integrated electronics system functioned as one of the most crucial subsystem for the Rovers departure from the lander and the surface exploration task. Moreover, it can provide technical reference for the future spacecraft in which the integrated electronics system will be used.

The jade rabbit lunar rover of ChangE-3 probe was the first explorer of China roaming on the surface of extratellurian celestials, which had the totally different guidance, navigation and control (GNC) technologies from the earth orbital spacecrafts. Several key technologies had been broken in GNC system of ChangE-3 lunar rover, such as autonomous position and attitude determination, multi-wheel motion control on lunar surface, binocular stereo visio based autonomous environment perception, traversibility quantitative analysis based path planning, structure-light vision based obstacle avoidance for emergence case, and experimentation on earth. Since December 14, 2013 the ChangE-3 probe landed successfully on the moon, the GNC system of jade rabbit lunar rover had been working well all the time, and accomplished the set mission. The GNC technologies employed in ChangE-3 Lunar Rover laid foundation for future space exploration. The mission requirement, system component, key technologies, work modes and so forth of GNC system were discussed systematically in this paper.

ChangE-3 probe is the first Chinese spacecraft landed on the lunar surface and survived for lunar day/night cycles. The ChangE-3 thermal control system developed new elements such as closed two-phase thermosyphons, variable conductance heat pipes (VCHP), high-temperature adiabatic shield and radioisotope heater units (RHU) to deal with the harsh environment. Ground test methods for simulating the effect of lunar gravity and descent engine were established as well. Thermal control system worked well in orbit and on the lunar surface, and maintained the probe components and structure within the required range of temperatures throughout the mission. First-hand data of the lunar surface probe, which is useful for the future mission, was obtained during the flight test. This paper introduces the primary requirements, chief factors and the characteristics of the thermal control system design. The final scheme, key elements and flight performance of thermal control system are also described.

In the last few years, smart parking has been focused due to the development of indoor position technology. There are several smart parking systems for garage. But there are two major problems in these systems. The first one is the detection of parking space occupation, and the second one is space navigation. To solve these two problems, we propose a smart parking system combining WiFi and wireless sensor network. In this system, geomagnetic sensors are used to detect the occupation of parking spaces, and WiFi is used for navigation. A prototype system has been developed.

The objective of this work is to inquire whether the myocardial ischemia (MI) could lead to plasma lipid metabolism disorders and Danqi Pill (DQP)’s pharmacological effects on coronary heart disease (CHD). Ameroid ring was placed on left anterior descending coronary artery (LAD) to prepare CHD model of chronic MI on Chinese mini-swine. Echocardiography was employed to measure cardiac function. Enzyme-linked immunosorbent assay (ELISA) and Western blot was used to detect key molecules such as nitric oxide (NO), angiotensin II (Ang II), aldosterone (Ald), oxidized-low density lipoprotein (ox-LDL), low density lipoprotein (LDL) and very low density lipoprotein (VLDL)and NADPH oxidase (NOX4). Radioimmunoassay (RIA) was applied to evaluate the level of reactive oxygen species (ROS). Lipid metabolism disorder was mediated by MI, represented by the up-regulation of ox-LDL, LDL and VLDL, caused by RAAS activation. Plasma Ang II and Ald in model group were increased while NO decreased by 25.20%. NOX4 and ROS were also up-regulated significantly. Compared with model group, plasma Ang II and Ald in DQP group were decreased, while ox-LDL and LDL decreased, respectively and NO decreased by 47.60%. NOX4 and malondialdehyde (MDA) almost returned to normal level. Echocardiograph showed that ejection fraction (EF) improved significantly, with the improvement of left ventricular end-diastolic diameter (LVEDd). MI can lead to plasma lipid metabolism disorders and RAAS activation. DQP can down-regulate plasma Ang II and Ald, thus to reduce the ox-LDL and LDL level mediated by NOX4-ROS pathway; it also can increase NO levels, eventually promote heart function. Key words: Danqi pill, myocardial ischemia, lipid disorder, renin-angiotensin-aldosterone system (RAAS).