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Federated learning (FL), a privacy-preserving distributed machine learning, has been rapidly applied in wireless communication networks. FL enables Internet of Things (IoT) clients to obtain well-trained models while preventing privacy leakage. Person detection can be deployed on edge devices with limited computing power if combined with FL to process the video data directly at the edge. However, due to the different hardware and deployment scenarios of different cameras, the data collected by the camera present non-independent and identically distributed (non-IID), and the global model derived from FL aggregation is less effective. Meanwhile, existing research lacks public data set for real-world FL object detection, which is not conducive to studying the non-IID problem on IoT cameras. Therefore, we open source a non-IID IoT person detection (NIPD) data set, which is collected from five different cameras. To our knowledge, this is the first true device-based non-IID person detection data set. Based on this data set, we explain how to establish a FL experimental platform and provide a benchmark for non-IID person detection. NIPD is expected to promote the application of FL and the security of smart city., Comment: 8 pages, 5 figures, 3 tables, FL-IJCAI 23 conference

Dialogue-based Relation Extraction (DRE) aims to predict the relation type of argument pairs that are mentioned in dialogue. The latest trigger-enhanced methods propose trigger prediction tasks to promote DRE. However, these methods are not able to fully leverage the trigger information and even bring noise to relation extraction. To solve these problems, we propose TLAG, which fully leverages the trigger and label-aware knowledge to guide the relation extraction. First, we design an adaptive trigger fusion module to fully leverage the trigger information. Then, we introduce label-aware knowledge to further promote our model's performance. Experimental results on the DialogRE dataset show that our TLAG outperforms the baseline models, and detailed analyses demonstrate the effectiveness of our approach., Comment: Accepted by CSCWD 2023

BACKGROUND: Immunotherapy has brought substantial benefit for patients with advanced non-small cell lung cancer (NSCLC); however, resistance may occur, of which oligoprogression is most common. There are no standard strategies to overcome acquired resistance, thus exploring potential effective approaches is critical. Our study evaluated the clinical outcome of combing stereotactic body radiotherapy (SBRT) with checkpoint inhibitors (CPIs) in oligoprogressive NSCLC. METHODS: We retrospectively reviewed patients with advanced NSCLC who received SBRT for oligoprogressive lesions after acquired resistance to CPIs in our hospital between January 2015 and January 2021. Acquired resistance was defined as initial complete/partial response (CR/PR) followed by progression/death. Oligo patterns of acquired resistance were defined as progression in ≤2 sites of disease. We evaluated the local control rate (LR), progression-free survival (PFS-PO), overall survival (OS-PO), and safety of combing SBRT after oligoprogression. RESULTS: Among 177 patients reviewed, 24 patients were included. Fifteen (62.5%) were diagnosed with adenocarcinoma, and 20 (83.3%) were with stage IV. Before oligoprogression, immunotherapy was used as first-line treatment in 16 (66.7%) patients, and 4 (16.7%) received monotherapy. After combing SBRT with CPIs, the median PFS-PO and OS-PO were 11 months (95% CI: 8–NA) and 34 months (95% CI: 19-NA). The median LC of 34 oligoprogressed lesions was 43 months (95% CI: 7.7–78.3). The 1- and 2-year LC rates were 100% and 81.8%, respectively. Patients with adenocarcinoma, lung immune prognostic index (LIPI) (≥1), and positive PD-L1 tended to achieve favorable survival benefits. CONCLUSIONS: We observed considerable benefit of local control and survival by combing SBRT in patients with oligoprogression after required resistance to CPIs in NSCLC. The adverse events are well managed. Our results suggest that combing SBRT with CPIs could be a potential strategy to overcome acquired resistance.

BackgroundPancreatic ductal adenocarcinoma (PDAC) is a fatal malignancy with a low resection rate. Chemotherapy and radiotherapy (RT) are the main treatment approaches for patients with advanced pancreatic cancer, and neoadjuvant chemoradiotherapy is considered a promising strategy to increase the resection rate. Recently, immune checkpoint inhibitor (ICI) therapy has shown remarkable efficacy in several cancers. Therefore, the combination of ICI, chemotherapy, and concurrent radiotherapy is promising for patients with potentially resectable pancreatic cancer, mainly referring to locally advanced (LAPC) and borderline resectable pancreatic cancer (BRPC), to increase the chances of conversion to surgical resectability and prolong survival. This study aims to introduce the design of a clinical trial.MethodsThis is an open-label, single-arm, and single-center phase II trial. Patients with pathologically and radiographically confirmed LAPC or BRPC without prior anti-cancer treatment or severe morbidities will be enrolled. All patients will receive induction therapy and will be further evaluated by the Multiple Disciplinary Team (MDT) for the possibility of surgery. The induction therapy consists of up to four cycles of gemcitabine 1,000 mg/m2 and nab-paclitaxel 125 mg/m2via intravenous (IV) infusion on days 1 and 8, along with tislelizumab (a PD-1 monoclonal antibody) 200 mg administered through IV infusion on day 1 every 3 weeks, concurrently with stereotactic body radiation therapy (SBRT) during the third cycle of treatment. After surgery, patients without progression will receive another two to four cycles of adjuvant therapy with gemcitabine, nab-paclitaxel, and tislelizumab. The primary objectives are objective response rate (ORR) and the R0 resection rate. The secondary objectives are median overall survival (mOS), median progression free survival (mPFS), disease control rate (DCR), pathological grade of tumor tissue after therapy, and adverse reactions. Besides, we expect to explore the value of circulating tumor DNA (ctDNA) in predicting tumor response to induction therapy and survival outcome of patients.DiscussionThis is a protocol for a clinical trial that attempts to evaluate the safety and efficacy of the combination of anti-PD-1 antibody plus chemotherapy and radiotherapy as the induction therapy for LAPC and BRPC. The results of this phase II study will provide evidence for the clinical practice of this modality.Clinical Trial Registrationhttp://www.chictr.org.cn/edit.aspx?pid=53720&htm=4, identifier ChiCTR2000032955.

In this paper, we investigate the secure rate-splitting for the two-user multiple-input multiple-output (MIMO) broadcast channel with imperfect channel state information at the transmitter (CSIT) and a multiple-antenna jammer, where each receiver has an equal number of antennas and the jammer has perfect channel state information (CSI). Specifically, we design a secure rate-splitting multiple-access strategy, where the security of split private and common messages is ensured by precoder design with joint nulling and aligning the leakage information, regarding different antenna configurations. Moreover, we show that the sum-secure degrees-of-freedom (SDoF) achieved by secure rate-splitting is optimal and outperforms that by conventional zero-forcing. Therefore, we reveal the sum-SDoF of the two-user MIMO broadcast channel with imperfect CSIT and a jammer, and validate the superiority of rate-splitting for the security purpose in this scenario with emphasis of MIMO., Comment: 6 pages, 3 figures

Intent detection (ID) and Slot filling (SF) are two major tasks in spoken language understanding (SLU). Recently, attention mechanism has been shown to be effective in jointly optimizing these two tasks in an interactive manner. However, latest attention-based works concentrated only on the first-order attention design, while ignoring the exploration of higher-order attention mechanisms. In this paper, we propose a BiLinear attention block, which leverages bilinear pooling to simultaneously exploit both the contextual and channel-wise bilinear attention distributions to capture the second-order interactions between the input intent or slot features. Higher and even infinity order interactions are built by stacking numerous blocks and assigning Exponential Linear Unit (ELU) to blocks. Before the decoding stage, we introduce the Dynamic Feature Fusion Layer to implicitly fuse intent and slot information in a more effective way. Technically, instead of simply concatenating intent and slot features, we first compute two correlation matrices to weight on two features. Furthermore, we present Higher-order Attention Network for the SLU tasks. Experiments on two benchmark datasets show that our approach yields improvements compared with the state-of-the-art approach. We also provide discussion to demonstrate the effectiveness of the proposed approach., The authors withdraw the manuscript and will update it in the original arXiv address (arXiv:2108.11916)

Immune monotherapy does not appear to work in patients with pancreatic cancer so far. We are conducting a clinical trial that combines programmed cell death protein-1 (PD-1) inhibitor with chemotherapy and concurrent radiotherapy as induction therapy for patients with locally advanced pancreatic cancer (LAPC) and borderline resectable pancreatic cancer (BRPC). Here, we report a case with a pathologic complete response (pCR) and no postoperative complications after the induction therapy. The patient received four cycles of induction therapy and achieved a partial response (PR) with a significant decline of tumor marker carbohydrate antigen 19-9 (CA19-9). Also, peripheral blood samples were collected during the treatment to investigate serial circulating tumor DNA (ctDNA) dynamic changes in predicting the tumor response and outcomes in patients. Our result suggested that PD-1 blockade plus chemotherapy and concurrent radiotherapy is a promising mode as induction therapy for patients with potentially resectable pancreatic cancer. In this case, serial ctDNA alterations accurately provide a comprehensive outlook of the tumor status and monitor the response to the therapy, as validated by standard imaging.

Recent large-scale video-language pre-trained models have shown appealing performance on various downstream tasks. However, the pre-training process is computationally expensive due to the requirement of millions of video-text pairs and the redundant data structure of each video. To mitigate these problems, we propose LiteVL, which adapts a pre-trained image-language model BLIP into a video-text model directly on downstream tasks, without heavy pre-training. To enhance the temporal modeling lacking in the image-language model, we propose to add temporal attention modules in the image encoder of BLIP with dynamic temporal scaling. Besides the model-wise adaptation, we also propose a non-parametric pooling mechanism to adaptively reweight the fine-grained video embedding conditioned on the text. Experimental results on text-video retrieval and video question answering show that the proposed LiteVL even outperforms previous video-language pre-trained models by a clear margin, though without any video-language pre-training., Comment: 13 pages, 6 figures, accepted by EMNLP 2022 main conference

The outbreak of coronavirus disease 2019 (COVID-19) is a global health emergency. Various omics results have been reported for COVID-19, but the molecular hallmarks of COVID-19, especially in those patients without comorbidities, have not been fully investigated. Here we collect blood samples from 231 COVID-19 patients, prefiltered to exclude those with selected comorbidities, yet with symptoms ranging from asymptomatic to critically ill. Using integrative analysis of genomic, transcriptomic, proteomic, metabolomic and lipidomic profiles, we report a trans-omics landscape for COVID-19. Our analyses find neutrophils heterogeneity between asymptomatic and critically ill patients. Meanwhile, neutrophils over-activation, arginine depletion and tryptophan metabolites accumulation correlate with T cell dysfunction in critical patients. Our multi-omics data and characterization of peripheral blood from COVID-19 patients may thus help provide clues regarding pathophysiology of and potential therapeutic strategies for COVID-19.

Recent advances in the synthesis and characterization of one-dimensional infrared sensitive materials have engendered broad interest due to their possible outstanding performance for infrared spectrum detection. In this work, two kinds of nanorod arrays (NRAs), Hg50Cd7.91Te42.02 and Hg10.32Cd26.37Te63.31, were successfully prepared on quartz and silicon substrate via tailoring the growth conditions for the first time. The growth mechanism of both NRAs followed the Stranski-Krastanov model. The unique XRD patterns of two NRAs could not be completely corresponded to any JCPDS card owing to their nonstandard components. TEM results showed that the single nanorod from both NRAs was consisted of the unique symmetrical crystalline grain. It was interesting to observe that the IR absorption of both NRAs could cover the near-IR and middle-IR simultaneously. Moreover, the Hg10.32Cd26.37Te63.31 NRAs showed the novel periodicity absorption peaks due to their particular ordered symmetrical structure. Finally, we found the Hg50Cd7.91Te42.02 NRAs exhibited novel heat effect and the Hg10.32Cd26.37Te63.31 NRAs showed excellent photoresponse property under the IR light illumination with wavelength of 1.1 μm.

The present work reports a mechanical improvement in nickel-based nanocomposites reinforced by in-situ grown graphene nanosheets (GNSs). First, vertically standing GNSs (VSGNSs) were grown on Inconel 718 alloy (718) powders by plasma-enhanced chemical vapour deposition. Then these powders were used to fabricate GNSs-718 nanocomposites by using spark plasma sintering method. The microstructure and mechanical properties of the nanocomposites were investigated by Raman spectroscopy, scanning electron microscopy, transmission electron microscopy and tensile tests. Testing results showed that three-dimensional net structured VSGNSs were in-situ grown on surfaces of 718 powders. GNSs-718 nanocomposites exhibited homogeneously dispersed GNSs, which distributed mainly along grain boundaries. Transmission electron microscopy indicated that there were clean and strong interfaces between GNSs and nickel-based matrix. Compared to the unreinforced 718 alloy, GNSs-718 nanocomposites showed increased strength and elongation. The relevant strengthening mechanisms involved in GNSs-718 nanocomposites were discussed.

TiC/graphene composite layer was successfully in-situ grown on the surface of Ti foil by a one-step plasma enhanced chemical vapor deposition (PECVD) method. The as-prepared sample was systematically characterized by X-ray diffraction (XRD), Raman spectrum, scanning electron microscopy (SEM) and Transmission electron microscopy (TEM). The results showed the composite layer was uniformly distributed on the surface of Ti foil with strong binding force. The surface hardness values of bare Ti foil and Ti/TiC/graphene composite were 204.84 HV and 641.18 HV, respectively, and the yield strength average values of annealed Ti and Ti/TiC/graphene were 137.3 MPa and 141 Mpa, respectively. The surface hardness of the TiC/graphene layer could be significantly increased twice as that of the bare Ti foil surface while maintained the strength stability. Nanoindentor results showed the significantly improved surface hardness could be attributed to the TiC layers. This study provides a facile strategy for surface reinforcement of Ti and its alloys, showing great potential for future application.

Background The overall genetic distribution and divergence of cloned genes among bread wheat varieties that have occurred during the breeding process over the past few decades in Ningxia Province, China, are poorly understood. Here, we report the genetic diversities of 44 important genes related to grain yield, quality, adaptation and resistance in 121 Ningxia and 86 introduced wheat cultivars and advanced lines. Results The population structure indicated characteristics of genetic components of Ningxia wheat, including landraces of particular genetic resources, introduced varieties with rich genetic diversities and modern cultivars in different periods. Analysis of allele frequencies showed that the dwarfing alleles Rht-B1b at Rht-B1 and Rht-D1b at Rht-D1, 1BL/1RS translocation, Hap-1 at GW2-6B and Hap-H at Sus2-2B are very frequently present in modern Ningxia cultivars and in introduced varieties from other regions but absent in landraces. This indicates that the introduced wheat germplasm with numerous beneficial genes is vital for broadening the genetic diversity of Ningxia wheat varieties. Large population differentiation between modern cultivars and landraces has occurred in adaptation genes. Founder parents carry excellent allele combinations of important genes, with a higher number of favorable alleles than modern cultivars. Gene flow analysis showed that six founder parents have greatly contributed to breeding improvement in Ningxia Province, particularly Zhou 8425B, for yield-related genes. Conclusions Varieties introduced from other regions with rich genetic diversity and landraces with well-adapted genetic resources have been applied to improve modern cultivars. Founder parents, particularly Zhou 8425B, for yield-related genes have contributed greatly to wheat breeding improvement in Ningxia Province. These findings will greatly benefit bread wheat breeding in Ningxia Province as well as other areas with similar ecological environments.

Spoken Language Understanding (SLU), including intent detection and slot filling, is a core component in human-computer interaction. The natural attributes of the relationship among the two subtasks make higher requirements on fine-grained feature interaction, i.e., the token-level intent features and slot features. Previous works mainly focus on jointly modeling the relationship between the two subtasks with attention-based models, while ignoring the exploration of attention order. In this paper, we propose to replace the conventional attention with our proposed Bilinear attention block and show that the introduced Higher-order Attention Network (HAN) brings improvement for the SLU task. Importantly, we conduct wide analysis to explore the effectiveness brought from the higher-order attention.

Recently, massive efforts have been done on controlling thermal transport via coherent phonons in the various periodic nanostructures. However, the intrinsic lattice difference between the constituent materials inevitably generates the disorder at the interfaces, thus limiting the opportunity of directly observing the coherent phonon transport. Here, we investigate the controllability and visualization of the coherent phonon transport in a periodic MoS2/MoSe2 arrayed heterostructure with minimum lattice mismatching using non-equilibrium molecular dynamics simulation. It is found that the coherent phonon transport can be destroyed and rebuilt through adjusting the density of MoSe2 nanodot arrays. The phonon localization induced by the destruction of correlation is visualized based on the spatial energy distribution and anharmonic analysis. Furthermore, the eigen vector diagrams provide a distinct visualization of the localized phonon modes. Besides, the correlation of phonon can be rebuilt by reducing the period length, which is verified by the enhanced group velocities extracted from phonon dispersion curves. Interestingly, the crossover from incoherent to coherent phonon transport is directly observed by the spatial energy distributions and the spectral phonon transmission coefficients. Finally, the size and temperature dependence of thermal conductivity are also discussed. This study of the phonon coherence and its visualizing manipulation on thermal conductivity will be beneficial to fine heat control and management in the real applications., Comment: 21 Pages, 4 Figures

Background: The overall genetic distribution and divergences for cloned genes among wheat varieties that occurred during the breeding process of the past few decades in Ningxia province of China are poorly understood. Here we report the genetic diversities of 44 important genes underpinning grain yield, quality, adaptation and resistance in 121 Ningxia and 86 introduced wheat cultivars and advanced lines.Results: Population structure indicated characteristics of genetic components of Ningxia wheats including landraces of particular genetic resources, introduced varieties with rich genetic diversities and modern cultivars in different times. Analysis of allele frequencies showed that dwarfing alleles Rht-B1b at Rht-B1 and Rht-D1b at Rht-D1 , 1BL/1RS translocation, Hap-1 at GW2-6B and Hap-H at Sus2-2B are present very frequently in Ningxia modern cultivars and introduced varieties from other regions, but absent in landraces, indicating that the introduced wheat germplasm with numerous beneficial genes are vital for broadening genetic diversities of Ningxia wheat varieties. Large population differentiation occurred at adaptation genes between modern cultivars and well-adapted landraces. Founder parents have excellent allele combinations of important genes with a higher number of favorable alleles compared with modern cultivars. The gene flows manifested that six founder parents greatly contributed to breeding improvement in Ningxia province, in particular Zhou 8425B for yield related genes.Conclusions: These results will greatly benefit for wheat breeding in Ningxia province and other areas with similar ecological environments.

Magnetic Fe3O4@PANI@Au nanocomposites are fabricated through electrostatic self-assembly and seed growth methods. The rate constant K app is calculated to be 8.63×10−3 s−1 at room temperature for the reduction of 4-nitrophenol to 4-aminophenol with an excessive amount of NaBH4 as a model system showing outstanding catalytic efficiency and stability. For recyclable performance, the catalyst exhibits slight loss in catalytic performance on the conversion of 4-nitrophenol after running for more than 10 cycles. Besides, the smaller and simpler the structure, the easier the molecular structure can be degraded, and the faster the cationic dyes can be degraded than the anionic dyes, which can reveal the selectivity. For practical application, Congo red as a pollutant of the lake water is degraded rapidly after Fe3O4@PANI@Au is added to the solution in a few minutes. It has been demonstrated that magnetic Fe3O4@PANI@Au nanoparticle composite is a promising catalyst for environment sewage.

Graphene nanowalls (GNWs) were deposited on the surface of the copper foil, nickel foam and glass using the plasma-enhanced chemical vapour deposition (13.56 MHz) method. The etching effect of hydrogen on the morphology of the GNWs was investigated by varying the CH 4 /H 2 ratio during the graphene growth. Supercapacitor electrodes made of GNWs on nickel foam were tested with cyclic voltammetry and galvanostatic charge/discharge methods, showing premium electrical double-layer performance and cyclic stability.

Scenario analysis is an accepted method in civil aircraft requirements capture and validation.This paper introduces the operation scenario analysis method for requirement capture, including stakeholder identification, interaction activity analysis, design requirement capture, etc.Based on SysML language, the modeling and analysis of operation scenarios were carried out.Taking the push/tow scenario of civil aircraft as an example, the structure diagram, use case diagram, activity diagram and requirement diagram are formed by modeling. The design requirements in this scenario are captured through the interaction analysis between the different stakeholders and the aircraft.

Aircraft power system is a complex system consisting of the power generation system, the power management and distribution system, and the power consumption system, which accounts for the aircraft's major fuel consumption and emissions. This paper proposes a scenario-based comprehensive power requirement analysis and system architecture methodology in order to alleviate the risk of systems over-design and discoordination caused by traditional bottom-up load collection and individual system design. Starting from the operation scenario, system functions are identified and corresponding physical architecture and power loads are analysed. Given the complexity of operation scenarios and aircraft power system, model-based system engineering methodology is applied to the top-down aircraft power system architecture design. SysML tool is used to carry out to analyse the aircraft power system architecture during taxi scenario, which provides great advantages on model tracing and reuse.

A three-dimensional deformable finite element model of wheel-rail system is established. The vertical vibration natural frequencies are calculated by modal analysis. The improved central difference method by ABAQUS explicit nonlinear dynamics module is chosen to calculate the vertical vibration of wheel axle. Through the vibration measurement experiment ofLMAwheel by China Academy of Railway Sciences, the contact parameter is optimized and the model is modified. According to the nonlinear simulation results, the important influence of vertical track irregularity on the wheel set high-frequency vibration is discovered. The advantage frequencies through spectrum are close to the vertical vibration natural frequencies of seventh, eighth, ninth, and tenth mode. When the velocity is 350 km/h, system’s nonlinear dynamic characteristic is higher than the results at 200 km/h. The critical wavelength of vertical track irregularity on the wheel vertical vibration is about 0.8 m. In addition, a particular attention should be paid to one situation that the main dominant frequency amplitude is more than 50% of the acceleration amplitude even if the peak acceleration is low.

This study attempts to evaluate the achievement effect of ability grouping on student performance on the National College Entrance Exam in China. The context of this study is the ongoing school reform movement occurring in many Chinese municipalities. The current reform movement is striving to achieve educational equity and quality by integrating initial low achievers into high-performing schools. The propensity score matching method is employed as the identification strategy. After controlling for self-selection bias in high school assignment, this study finds that while there is no effect of high ability grouping at the school level on academic achievement, initial low achievers’ academic performances can be significantly improved when integrated with high performing students at the school level. In addition, between-class grouping significantly improves student performance in a heterogeneous school-level grouping. Upon analyzing the results, rich information on school level input is reported.

Uniform mixing of ceramic powder and graphene is of great importance for producing ceramic matrix composite. In this study, graphene nanowalls (GNWs) are directly deposited on the surface of Al2O3 and Si3N4 powders using chemical vapor deposition system to realize the uniform mixing. The morphology and the initial stage of the growth process are investigated. It is found that the graphitic base layer is initially formed parallel to the powder surface and is followed by the growth of graphene nanowalls perpendicular to the surface. Moreover, the lateral length of the graphene sheet could be well controlled by tuning the growth temperature. GNWs/Al2O3 powder is consolidated by using sparking plasma sintering method and several physical properties are measured. Owing to the addition of GNWs, the electrical conductivity of the bulk alumina is significantly increased.

The synthesis of a series of andrographolide-19-oic acid derivatives was described and their in vitro anti-tumor activity against two human cell lines was evaluated. Most compounds were found to exhibit significant cytotoxicity, better than andrographolide, and compounds 9d and 9b were identified as the most potent with IC50 values of 1.18 and 6.28 μm against HCT-116 and MCF-7 cell lines, respectively. The preliminary results indicated that the oxidation of C-19-hydroxyl group of andrographolide to corresponding carboxyl group and the subsequent esterification of the formed carboxylic acid led to considerable improvement in cytotoxicity against the cancer cells.

The research target of this study was visual emotions evoked by sportswear of female college students. The main purpose of this study was explored the interaction of human psychological emotion and physiological Event-Related Potentials (ERPs) response through SAM model and ERPs instrument in clothing field. The results indicated that: 1. Pleasure of emotion dimension could be as the index of assessing consumption desire. 2. For pleasure and arousal, the most obviously changes of brainwaves were observed from 200 ms to the end of stimulate in forehead area. 3. High pleasure and arousal caused great ERPs amplitudes in the middle of forehead area. 4. Psychology and physiology had consistency in the dimension of clothing styles.

Recently, unmanned aerial vehicles (UAVs) have become one of the latest application technologies in the aeromagnetic field. Furthermore, high-precision aeromagnetic gradient surveys need higher precision magnetometers, and higher dynamic measurement precision of UAVs. The problem of magnetic interference of UAVs must be solved to implement high-precision aeromagnetic surveys, as the switch mode power supply (SMPS) is one of the most important interference sources of UAVs. Through the analysis of electromagnetic interference (EMI) sources of UAVs and the working characteristics of optical pumping magnetometers, this paper intends to design and optimize the switching power supply circuit, reduce the generation of EMI, and improve the measurement precision of optical pumping magnetometers.

Wall robots must have adsorption and movement functions, and the safety of the adsorption system is a key index which determines the robot's performance. The redundant control theory was applied in the vacuum absorption system of wall cleaning robot, and its feasibility was analyzed, then a model was established. A redundant system of double vacuum bumps was put forward to enhance the robot's safety. It's proved theoretically that in the redundant system, the mean time between failures of the wall robot is extended. The experimental data shows that the redundant system is practicable and adjustable, and the two pumps can switch rapidly and stably.

In order to realize the automatic inspection of the lining defect of the construction surface, and make the surface of construction repair work effectively, researching a kind of robot can crawl in the construction surface and do nondestructive testing. According to the characteristics of the surface of the construction, putting forward the overall design scheme of climbing robot, determining its key components, and designing control system structure in the combination of electric and pneumatic, and carrying on the detailed analysis from the safety, the robot structure parameters is determined. A comparative analysis is made on the method of two kinds of robot movement strategies.

In an effort to provide a technology platform for the mechanical analysis of the clothing pressure on the bust and to investigate the relationship of clothing pressure on the bust and garment bust strain, and Young’s modulus of fabric, accurately, a finite element model of the standard female body bust cross-section was created. The model was composed of skin, soft tissue and bone. The clothing pressure exerted on the busts by 10 elastic sports vests of two types of extensibility in fabric with different bust girth and identical style was measured, then the pressure was taken as load and applied to the model. The bust strain of 10 sports vests after wearing was calculated based on the finite element model. The data from eight out of the 10 vests was chosen to find the linear equation of the relationship between the clothing pressure exerted on the bust, the vest bust strain and Young’s modulus of fabric. The data from the other two vests were used to verify the equation, and results indicated that the calculated clothing pressure was very similar to that measured, proving that the equation can provide a database for the design, from bust size, of functional pressure comfort tight-fit garments.

In order to pursue men's suit wear comfort, the basic data on an accurate men's suit comfort analysis with clothing pressure is required. Therefore, in such investigation, it is difficult to find out ideal persons as test subjects. In the measuring experiments, we used dummies designed for resuscitation practice to obtain the clothing pressure with both normal standing posture and movement patterns and compared these data with subjects' to give the relationship of clothing pressure between the dummy and subject. The correlation between the measurements with dummies and the subjects' are shown. It turns out that the dummy D1 and D6 are mainly as intended in pressure measurement with normal standing posture. But the dummy D2 and D3 are not. It turns out that the dummy D1 can imitate the human shoulder's movement patterns well, and the dummy D4 and D6 are mainly as intended. But the dummy D2 is not. It turns out that all the dummies have a certain limitation to be placed in clothing pressure measurements. It also shows that instead of subject to use dummy to investigate clothing pressure with both normal standing posture and movement pattern, not only dummy's features such as compression hardness, form and size, but measuring postures are also needed to take into consideration.

In the paper, The problem about stability in low speed of the air bearing stage driven by a linear motor was investigated to satisfy the ultra-precision fly-cutting of KDP crystals. First of all, the modal of the servo system with the permanent magnet synchronous linear motor was analyzed. In the system of the low speed linear motor driver, the main interferences came from cutting force f Load , the friction of chain and cable f n , the ripple thrust f ripp , and motor friction f fric . Secondly, the factors about low speed stability were analyzed: the key to improve the system’s stability is to control the interference forces; Another important issue is to develop an advanced control strategy. Thirdly, some optimization experiments about low speed stability were developed as follows: the influence of feedback element, the influence of Power converter, speed optimization of damping feed-forward control, speed optimization of Spindle vibration, speed optimization based on disturbance observer. Finally the experimental results: the lowest speed of the stage can reach 0.2 mm/min; the error of the speed is less than 0.06mm/min when running between 1mm/min and 10 mm/min. The cutting experiment of KDP with the size of 330mm × 330mm × 10mm, was proceeded on the Fly-cutting machine by the feeding velocity of 1mm/min. The results about the surface roughness show that the value of Rq is 3.3nm and the value of Ra is 2.6nm.

Oxide dispersion strengthened (ODS) ferritic steels with Cr content exceed 13wt% often suffer aging embrittlement while exhibiting high temperature strength and high resistance to corrosion and radiation. The effects of carbon and minor elements, such as Si, Mn and Ni, on the age-hardening behavior of 15Cr ferritic alloys were investigated. The tensile properties, Vickers-hardness and microstructures of Fe-15Cr, Fe-C-15Cr, Fe-15Cr-(Si, Mn, Ni) and Fe-C-15Cr-(Si, Mn, Ni) ferritic alloys were compared before and after thermal aging at 475°C up to 2000 h. After thermal aging, a significant increase in hardness, yield and ultimate tensile strength was observed, which was attributed primarily to the formation of α′-phase that includes the alloying elements such as Si, Mn and Ni. The addition of carbon accelerated the age-hardening of Fe-15Cr alloys by the formation of carbides, which enhanced the nucleation and growth of α′-phase. The addition of Mn, Si and Ni appears to accelerate the phase separation of Fe-15Cr alloys, which is interpreted in terms of site competition mechanism that the grain boundary segregation of alloying elements suppress the Cr-segregation and keep the Cr concentration in the matrix. Quite a few G-phase precipitates were observed in the matrix and on grain boundaries after 2000 h aging.

Background Previous studies have indicated that intake of dietary flavonoids or flavonoid subclasses is associated with the ovarian cancer risk, but presented controversial results. Therefore, we conducted a meta-analysis to derive a more precise estimation of these associations. Methods We performed a search in PubMed, Google Scholar and ISI Web of Science from their inception to April 25, 2015 to select studies on the association among dietary flavonoids, flavonoid subclasses and ovarian cancer risk. The information was extracted by two independent authors. We assessed the heterogeneity, sensitivity, publication bias and quality of the articles. A random-effects model was used to calculate the pooled risk estimates. Results Five cohort studies and seven case-control studies were included in the final meta-analysis. We observed that intake of dietary flavonoids can decrease ovarian cancer risk, which was demonstrated by pooled RR (RR = 0.82, 95% CI = 0.68–0.98). In a subgroup analysis by flavonoid subtypes, the ovarian cancer risk was also decreased for isoflavones (RR = 0.67, 95% CI = 0.50–0.92) and flavonols (RR = 0.68, 95% CI = 0.58–0.80). While there was no compelling evidence that consumption of flavones (RR = 0.86, 95% CI = 0.71–1.03) could decrease ovarian cancer risk, which revealed part sources of heterogeneity. The sensitivity analysis indicated stable results, and no publication bias was observed based on the results of Funnel plot analysis and Egger’s test (p = 0.26). Conclusions This meta-analysis suggested that consumption of dietary flavonoids and subtypes (isoflavones, flavonols) has a protective effect against ovarian cancer with a reduced risk of ovarian cancer except for flavones consumption. Nevertheless, further investigations on a larger population covering more flavonoid subclasses are warranted.

To study the antitumor effects and associated mechanisms of extract of the Smilax china L. rhizome (SCR) on ovarian cancer cells.Ovarian cancer cells A2780 were treated with different concentrations of SCR extract (SCRE), and compared with controls. Effects on cell growth were evaluated by cell counting kit-8 (CCK-8) assay; proliferation effects by EdU incorporation assay; cell cycle by propidium iodide staining; apoptosis by annexin V-fluorescein isothiocyanate/propidium iodide; cellular distribution of nuclear factor-κB (NF-κB) by immunofluorescence; protein levels of NF-κB, caspase-3, poly-adenosine diphosphate (ADP)-ribose polymerase (PARP), Bcl-2-associated X protein (Bax), cellular inhibitor of apoptosis (cIAP)-1, anti-X-linked inhibitor of apoptosis protein (XIAP), B-cell lymphoma-extra large (Bcl-XL), B-cell lymphoma-2 (Bcl-2) and AKT by Western blotting; and effects of SCRE combined with cisplatin or adriamycin on A2780 cells by CCK-8 assay.SCRE suppressed A2780 cell proliferation in a dose-dependent manner (P0.05,P0.01), arrested cells in G2/M phase and induced apoptosis by activating caspase-3, PARP and Bax. SCRE treatment also correlated with inhibition of NF-κB and downregulation of Bcl-2, Bcl-XL, cIAP-1, XIAP and AKT. SCRE can promote chemosensitivity to cisplatin and adriamycin in A2780 cells (P0.01).SCR effectively inhibits NF-κB, induces apoptosis and reduces chemoresistance to cisplatin and adriamycin in ovarian cancer cells, which might be its molecular basis for treating ovarian cancer.

Based on the health standard of air quality in public places and its grade bounds prescribed by the state, the evaluation grades are classified. A mathematical model is established by using fuzzy mathematics methods, and the quantify indexes in the model are described by using the maximum membership rule. Compared with the traditional evaluation model, ours makes the evaluation results more objective and reasonable. Our model makes the evaluation more accurate and perfect. The computer software corresponding to our model is designed, which can be used to the air quality detection in practice. Practice proves the efficiency and reliability of our software.

Halbach array is new permanent structure. It was proposed by physicist Dr. K. Halbach of the U.S. Lawrence Berkeley National Laboratory. This paper proposes an improved magnet structure of Halbach array. By simulation of finite element software-Ansoft's Maxwell, the results show that improved magnet structure can effectively improve the uniformity of the magnetic field within the array comparing with one-on-pole Halbach magnet array Composed by fan-based units.

LetVn(Fq) be the orthogonal geometry of dimensionn overFq, whereq is a power of 2 andq>2. LetA be the arrangement inVn(Fq) consisting of all (n−1)-dimensional non-singular subspaces ofVn(Fq) and letL(A) be the geometric lattice consisting of all intersections of elements ofA. In this paper we give a characterization of the elements ofL(A) and compute the characteristic polynomial ofL(A).

A control system for a high temperature and high pressure fluid-solid action furnace based on the self-revise PID was introduced. The hardware system was composed by an industrial computer, a servo and PLC system. Based on this hardware system the algorithm of the PID tuning was improved. Finally, this system functions were fulfilled of the control, self-revise PID and automatic temperature and pressure distribution. This system is already applied and can achieve the technical requirement.

The main research subject in this paper is swimmer detection for visual surveillance of pool. A drowning detection method based on background subtraction is presented in this paper. The consecutive sequence of visual surveillance was obtained by the fixed camera installed in the pool wall. Each pixel is described by Gaussian Mixed Model, set up self-adapted background model and updating timely. When the foreground objects was separated, for getting good results, the shadows and noises must be removed. The experiments results show that this method is effective to detect the drowners and eliminate the shadows.

The classic adaptive channel estimation algorithms exhibit high dependence on the prior knowledge of channel order. In this paper, a joint order and channel estimation algorithm is proposed. By exploiting the excellent global optimization performance of the evolutionary algorithm, the channel order and channel impulse response are evolved at the same time with the MSE as fitness function. The experimental results on simulated channel show that the proposed algorithm outperforms the traditional LMS estimation approach in initial convergence rate as well as the tolerance upon order underestimation.