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The present study attempts to explore the effective components, action targets, and potential mechanism of nightshade for colon cancer treatment. The relationship network diagram of ‘traditional Chinese medicine – component – target – disease’ was firstly constructed by employing network pharmacology. Experiments were conducted in vivo and in vitro to verify the influence of quercetin, the core effective component of nightshade, on colon cancer. Meanwhile, the regulatory effects of quercetin on core targets and main signaling pathways were determined. Based on the network diagram of ‘traditional Chinese medicine – component – target – disease’ and KEGG analysis, quercetin might exhibit certain effects on colon cancer treatment by regulating the biological behavior of core targets related to cell apoptosis in tumors including PIK3R1, PIK3CA, Akt1, and Akt2. Furthermore, quercetin has been demonstrated in vitro experiments to suppress the proliferation and migration of colon cancer cells whereas promote their apoptosis in a dose-dependent fashion. In vivo experiments indicate that quercetin had an antitumor effect on human colon cancer SW480 cells in nude mice bearing tumors. Furthermore, PIK3CA could bind to quercetin directly, which is validated by immunocoprecipitation. Therefore, the activation of PI3K/AKT phosphorylation was inhibited by quercetin and moreover the expressions of apoptotic proteins caspase-3 and Bcl2-Associated X protein (BAX) were up-regulated. In conclusion, the potential mechanism of nightshade lies in the activation of the PI3K/AKT signaling pathway inhibited by quercetin, thus promoting apoptosis of colon cancer cells for colon cancer treatment., Graphical Abstract

Additional file 1: Additional figures from the results of early-onset colorectal cancer genetic susceptibility analysis. Fig. S1. 3D Plots for genetic matching of three principal components. Fig. S2. Determination of the POLA2 transfection efficiency. Fig. S3. Quantile-quantile plot and genomic inflation factor lambda for associations with early-onset CRC risk. Fig. S4. Regional plots of association results and recombination rates within the four significant susceptibility loci. Fig. S5. Manhattan plots for associations between genetic variants and EOCRC risk under 40 years old. Fig. S6. Risk estimates for EOCRC (under 40 years old) associated with the PRS deriving from distinct SNP. Fig. S7. Risk estimates for EOCRC associated with the PRSs under the adjustment of sociodemographic factors in the UKB cohort. Fig. S8. Higher tumor mutational burden was associated with the higher expression of POLA2 in TCGA CRC tissues.

Additional file 3. The codes used for statistical analysis and generation of tables and figures.

Additional file 2: Additional tables from the results of early-onset colorectal cancer genetic susceptibility analysis. Table S1. Demographic characteristics of cases with early-onset CRC and controls in the GECCO cohort of this study. Table S2. Demographic characteristics of cases with early-onset CRC (under 40 years old) and matching controls in the GECCO cohort of this study. Table S3. Demographic characteristics of cases with early-onset CRC and controls in the UK Biobank cohort of this study. Table S4. Demographic characteristics of cases with early-onset CRC (under 40 years old) and controls in the UK Biobank cohort of this study. Table S5. The previous CRC GWAS loci were calculated in the PRS model. Table S6. Probes or primers sequence used in the study. Table S7. 211 Newly identified variants associated with early-onset CRC risk in the GECCO cohort. Table S8. 84 newly identified variants associated with EOCRC risk (under 40 years old) in the GECCO cohort. Table S9. Results for 16 identified variants associated with EOCRC risk (under 40 years old) in the GECCO cohort (LD r2 < 0.6). Table S10. The variants associated with early-onset CRC risk in both two age cut-off groups in the GECCO cohort. Table S11. 88 mapped genes of 211 EOCRC specific risk loci. Table S12. Risk estimates for early-onset CRC associated with different PRS scores in the GECCO cohort. Table S13. Risk estimates for early-onset CRC associated with different PRS scores in the UKB cohort. Table S14. Risk estimates for early-onset CRC associated with different PRS scores with adjustment of sociodemographic factors in the UKB cohort. Table S15. The potential functional annotations of the 49 candidate variants.

The total DNA of the plankton was extracted using the Water DNA Kit (Omega, USA) and following the manufacturer's the instructions. The total DNA of the plankton was extr MiSeq platform (Illumina) was used for computer sequencing after a qualified library check.

Conformal prediction is a learning framework controlling prediction coverage of prediction sets, which can be built on any learning algorithm for point prediction. This work proposes a learning framework named conformal loss-controlling prediction, which extends conformal prediction to the situation where the value of a loss function needs to be controlled. Different from existing works about risk-controlling prediction sets and conformal risk control with the purpose of controlling the expected values of loss functions, the proposed approach in this paper focuses on the loss for any test object, which is an extension of conformal prediction from miscoverage loss to some general loss. The controlling guarantee is proved under the assumption of exchangeability of data in finite-sample cases and the framework is tested empirically for classification with a class-varying loss and statistical postprocessing of numerical weather forecasting applications, which are introduced as point-wise classification and point-wise regression problems. All theoretical analysis and experimental results confirm the effectiveness of our loss-controlling approach., Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

Large-scale text-to-image models have demonstrated amazing ability to synthesize diverse and high-fidelity images. However, these models are often violated by several limitations. Firstly, they require the user to provide precise and contextually relevant descriptions for the desired image modifications. Secondly, current models can impose significant changes to the original image content during the editing process. In this paper, we explore ReGeneration learning in an image-to-image Diffusion model (ReDiffuser), that preserves the content of the original image without human prompting and the requisite editing direction is automatically discovered within the text embedding space. To ensure consistent preservation of the shape during image editing, we propose cross-attention guidance based on regeneration learning. This novel approach allows for enhanced expression of the target domain features while preserving the original shape of the image. In addition, we introduce a cooperative update strategy, which allows for efficient preservation of the original shape of an image, thereby improving the quality and consistency of shape preservation throughout the editing process. Our proposed method leverages an existing pre-trained text-image diffusion model without any additional training. Extensive experiments show that the proposed method outperforms existing work in both real and synthetic image editing., Comment: https://yupeilin2388.github.io/publication/ReDiffuser

Additional file 1: Table S1. Sequences of primers used for the quantitative real-time PCR analysis1.

For humans, gastric cancer (GC) is a common malignancy. Multiple circular RNAs (circRNAs) have been confirmed to be important cancer-promoting or tumor-suppressive factors. The present study discusses the roles and mechanisms of circ_0000423 in GC development. In this study, circ_0000423 expression in GC patient tissue samples and cell lines was detected via quantitative real-time polymerase chain reaction. Disheveled-Axin domain containing 1 (DIXDC1) expression in GC cells was examined via Western blot. Besides, cell counting kit-8 was utilized for detecting GC cell viability. GC cell migration and invasion were examined through Transwell assays. Bioinformatics and dual-luciferase reporter gene assays were employed to verify the regulatory relationships between microRNA-582-3p (miR-582-3p) and circ_0000423 or DIXDC1. In the present study, we demonstrated that circ_0000423 was highly expressed in GC. Circ_0000423 knockdown suppressed GC cell viability, migration and invasion. Moreover, miR-582-3p was confirmed as a direct target of circ_0000423, and an upstream regulator of DIXDC1. MiR-582-3p inhibition or DIXDC1 overexpression could reverse the above-mentioned effects of knocking down circ_0000423 on GC cells. In conclusion, circ_0000423 facilitates GC progression by modulating the miR-582-3p/DIXDC1 axis.

BackgroundChoriocarcinoma is a malignant tumour of trophoblastic origin. Most are gestational choriocarcinomas, which usually occur in women with an epithelial origin of the placental chorionic villi and are associated with pregnancy. It mainly originates in the gonads such as the ovaries and testes. However, it rarely occurs in the stomach and is known as primary choriocarcinoma (PGC).Case presentationA 69-year-old man complained of abdominal distention for 3 years, which worsened 1 week later. Gastroscopy showed chronic atrophic gastritis C1 (C1: indicates atrophic gastritis involving the sinus region); the pathology report of the gastroscopic specimen showed high-grade epithelial tumours in the mucosal glands. We diagnosed an occupying lesion in the stomach and performed a laparoscopically assisted distal gastrectomy and Billroth type 1 anastomosis. Postoperative pathology showed “gastric choriocarcinoma with cancerous tissue invading the entire gastric wall”. The patient was discharged on the 11th postoperative day as there were no postoperative complications. The patient was followed up until June 2022 with a good recovery and no recurrence.ConclusionWe encountered a case of Primary Gastric Choriocarcinoma, where the cancerous tissue invades the full thickness of the gastric wall.

Cronobacter sakazakii (C. sakazakii) is an important pathogen contaminating dairy products (e.g., milk pow-der) and causes high mortality in infants. Bacteriophage as a potential biocontrol agent is a good alternative method for the control of this pathogen in dairy production and its environment. Thus, it is important to complete the C. sakazakii phage library by isolating and characterizing the broad host range of bacteriophage against C. sakazakii for control use. In this study, C. sakazakii strains from different sources were used as hosts to isolate and purify phages from human stool and sewage samples by double-layer plates. The biological characteristics, antibacterial properties, and genomes of these phages were then studied. Finally, ten virulent phages (EspYZU01–EspYZU10) infecting C. sakazakii were isolated and identified as belonging to the Myoviridae, Podoviridae, Tectivirus, and Stylovinidae families. Phage EspYZU08 presented the broadest host range and could infect all the five host strains of C. sakazakii. All 10 phages retained their infectivity at 50°C and pH 5–9. Both genomes of EspYZU05 and EspYZU08 were double-stranded DNAs with sizes of 41723 bp and 145582 bp, G+C contents of 55.69% and 46.75%, and open reading frames of 47 and 103, respectively. No toxins and antibiotic resistance genes were detected in both EspYZU05 and EspYZU08. Phage EspYZU08 and phage cocktail-3 (EspYZU01 + EspYZU03 + EspYZU08 + EspYZU09 + EspYZU10) presented excellent antibacterial efficacy for C. sakazakii in liquid broth and milk at 4°C, 25°C, and 37°C, suggesting that the phages in this study have great potential for the development of biocontrol agents against C. sakazakii in dairy and its processing environment.

In order to solve the problem of poor thermal insulation in the current wood-plastic building, two kinds of structural wood wall integrated with wood plastic composite (WPC) are designed, and the thermal insulation performances of the walls are studied. The results show that the WPC integrated wall with frame-shear structure has a good stability, and the excellent performance of the WPC can be fully realized. Wall studs and wall panels are important factors affecting the thermal performance of the walls. Wood plastic materials can meet the thermal performance requirements of the walls. The single-layer frame walls and double-layer frame walls integrated with the WPC both have a good thermal performance. According to ‘Design Standard for Energy Efficiency of Public Buildings (GB 50189-2015)’, the heat transfer coefficient of the single-layer frame wall integrated with 20 mm thick WPC wall boards and WPC wall studs is 0.414 W/(m2•K), which can meet the standard of wall thermal level Ⅱt and is suitable for cold areas. The heat transfer coefficient of the double-layer frame wall integrated with 50 mm thick WPC wall panel and WPC wall studs is 0.207 W/(m2•K), which can meet the standard of wall thermal level Ⅰt and is suitable for severe cold areas.

Additional file 11: Table S4. Correlation between HK2 expression and clinicopathologic characteristics of glioma patients.

Additional file 10: Table S3. The information of clinicopathological characteristics of patient with gliomas.

Immune checkpoint inhibitors (ICIs) are widely used to treat local or metastatic lung cancer. However, the efficacy of ICI in patients with brain metastases (BM) from lung cancer is unknown. This study aimed to evaluate the efficacy of PD-1/PD-L1 ICIs compared with chemotherapy for patients with lung cancer with BM. Electronic databases (PubMed, Embase, The Cochrane Library, and Web of Science) were searched. The meta-analysis assessed overall survival (OS) and progression-free survival (PFS) of the PD-1/PD-L1 inhibitors axis and its relationship with pathological type, drug modality, and the treatment line number in patients with BM from lung cancer. We included 694 patients with BM from lung cancer from 11 randomized controlled trials. Statistical analysis showed that compared with chemotherapy, PD-1/PD-L1 inhibitors could significantly prolong OS (hazard ratio HR=0.75, 95%confidence interval 95%CI=0.51–0.99) and PFS (HR=0.65, 95%CI=0.51–0.80). In the subgroup analysis, ICIs plus chemotherapy improved PFS (HR=0.60, 95%CI=0.40–0.80), but not OS (HR=0.75, 95%CI=0.30–1.19). The efficacy of ICI monotherapy in patients with BM was significantly different between OS and PFS: OS pooled HR=0.81 (95%CI=0.57–1.05) and PFS=0.78 (95%CI=0.62–0.94). Among different pathological types, the OS pooled HR was 0.67 (95%CI=0.39–0.95) for non-small cell lung cancer (NSCLC) and 0.94 (95%CI=0.56–1.33) for small cell lung cancer (SCLC); the PFS pooled HR was 0.58 (95%CI=0.39–0.76) for NSCLC and 0.79 (95%CI=0.65–0.93) for SCLC. Subgroups analysis of treatment line showed that no advantage for OS with ICIs as first-line or subsequent-line therapy, whereas ICIs as first-line (HR=0.63, 95%CI=0.53–0.74) and second-line (HR=0.62, 95%CI=0.62–0.96) benefitted PFS. This meta-analysis implied that compared with chemotherapy, PD-1/PD-L1 inhibitors significantly improved efficacy treatment of patients with BM from lung cancer. Further studies are needed to confirm the role of ICIs in different pathological types and drug treatment modalities.

Additional file 7:. The uncropped immunoblotting images of full-length blots.

Additional file 8: Table S1. List of primer sequences for qRT-PCR.

Additional file 13: Table S6. The identification of the top 50 positively and negatively related genes with HK2.

Additional file 14: Table S7. KEGG pathway enrichment analysis of HK2 related genes.

Additional file 16: Table S9. The functional roles of HK2 negatively related hub genes.

Additional file 9: Table S2. Different datasets to analyze HK2 expression in pathological classification of gliomas (ONCOMINE).

Summary Globally, about one billion urban dwellers live in deprived areas (commonly referred as slums). However, this figure may be highly uncertain due to large data gaps. For example, in many cities, systematic underreporting occurs, which hampers the monitoring of Sustainable Development Goal (SDG) indicators. Earth observation (EO) data can be used to extract consistent spatial information on important aspects of the physical domain of deprivation and can offer essential proxies to not well-covered (e.g. social and economic) domains. However, for the development of a global data repository on deprived areas, several conceptual and methodological issues need to be solved. First, the relationship between concepts of a slum household and a deprived area needs to be defined in the context of information available in EO images. Second, the costs and benefits of different types of EO-data need to be established. Third, at different scales (ranging from communities, city to global scales), meaningful spatial aggregation units need to be established that are suitable to deal with uncertainties, privacy, ethics, and user needs. Fourth, computationally feasible, scalable, and transferable methods are required to produce a global data repository on deprived areas. This chapter provides an overview of methodological advances to address the above four major challenges .

Additional file 12: Table S5. Univariate and multivariate analyses of various prognostics parameters in patients with glioma Cox-regression analysis.

In this paper, we report that the conversion efficiency and spectrum of femtosecond optical parametric amplification (fs-OPA) can be significantly enhanced by employing a compact cascaded femtosecond OPA (CF-OPA) scheme with the self-compensation of the temporal walk-off between two nonlinear gain media. Correspondingly, the gain related temporal contrast can also be improved. The feasibility of the CF-OPA method using three cascaded BBO crystals is numerically and experimentally analyzed. Moreover, by replacing the conventional fs-OPA with the CF-OPA and optimizing the design, the performance of a nonlinear temporal filter combining cross-polarized wave generation and fs-OPA is comprehensively improved. The experimental results demonstrate the superiority of the CF-OPA scheme, which can generate high-performance cleaned pulses at 1 kHz repetition rate with energy of 340μJ, energy fluctuation below 0.9% (RMS), spectral width of 97 nm (FWHM), Fourier-transform-limited pulse width of 12 fs and temporal contrast better than 10−12. To the best of our knowledge, this is the first reported temporal walk-off self-compensated quasi-collinear CF-OPA geometry adopting three cascaded BBO crystals, which can be easily generalized to other wavelengths or nonlinear crystals. The above nonlinear temporal filter with a CF-OPA scheme has the rarest comprehensive parameters, which can provide excellent seed pulses for PW and 10 PW class femtosecond laser systems.

The direct driven feed system incorporates the merits of simple structure, high velocity and high acceleration, which has a bright future in the high-speed machine tools. However, because of the absence of the intermediate transmission components, there are different kinds of the disturbances which directly act on the mechanical system, leading to multiform motion errors. The complex motion errors in different motion processes will affect the final dynamic performance of the feed system with different forms and degrees, and finally affect the machining precision of the workpiece. It is of great significance to find a comprehensive and systematic precision evaluation method for the analysis and improvement of the dynamic precision of the feed system. In this paper, based on the motion characteristics and error sources, a novel precision evaluation and analysis method and indexes are proposed for the direct driven feed system. The electromechanical integrated model is established and then the dynamic precision in different motion processes with multi-source inputs are analytical presented. What is more, the experimental verification is carried out with different velocities. The results demonstrate that the proposed method can systematically evaluate the dynamic performance of direct drive high-speed feed system. Finally, the sensitive parameters of the precision evaluation indexes are discussed using the sensitivity analysis method (SAM), and the corresponding improvement measures are put forward.

The application of distributed optical fiber sensing technology in nuclear island safety monitoring is mainly studied in this paper. The anti-radiation ability of the system is an important index. The distributed optical fiber system in this paper is designed with a special anti-radiation optical fiber. The temperature of power supply cables and other facilities in the nuclear island containment can be distributed monitored in full period in real time. Radiation tests are carried out to validate the anti-radiation performance of the system. 60Co is used as a gamma ray radiation source to generate continuous pulses with an average energy of 1.25 MeV. The rate of radiation dose is 1800 Gy/h and the total radiation dose is 1950 Gy. The anti-radiation ability of anti-radiation optical fiber and common optical fiber is compared. It is proved by tests that common optical fiber sensor has great fiber loss in radiation environment, about 0.5dBm, and the loss is decreasing continuously. Anti-radiation optical fiber has little fiber loss in radiation environment, about 0.12 dBm, and the loss tends to be saturated. During the radiation test, the temperature measurement performance of the distributed optical fiber sensing system using anti-radiation optical fiber and the one using common optical fiber is tested in real time. The results show that the anti-radiation distributed optical fiber sensing system performs well in the whole process, which meets the requirements of temperature monitoring for 1339.2 Gy total radiation dose in the refueling cycle of nuclear island.

Strains of the genus Mucilaginibacter, belonging to the phylum Bacteroidetes, have been noted for exhibiting high genome plasticity and for the vigorous production of extracellular polymeric substances (EPS). Here we analyzed the composition and properties of EPS generated by M. rubeus P2, isolated from a gold-copper mine and exhibiting extremely high resistance to multiple heavy metals. Production of EPS increased significantly upon exposure to elevated concentrations of Cu(II) and Zn(II), but not Au(III). In addition, the EPS produced by M. rubeus P2 displayed extremely high bio-adsorption of As(III), Cu(II) and Au(III), but not of Zn(II). Moreover, EPS production in Mucilaginibacter rubeus P2 exposed to 1 mM of Cu(II) was 8.5 times higher than EPS production in the same strain without metal (loid)-exposure. These findings constitute the basis for a future use of these EPS-overproducing bacteria in bioremediation of heavy metal contaminated environments. The functional groups, especially –SH, C O, and N–H/C–N in the fingerprint zone of glutathione (GSH) and polysaccharides-like components of EPS, were the main components of EPS involved in both Zn(II) and Cu(II) binding and removal. Around 31.22% and 5.74% of Cu(II)-treated EPS was shown to exist as (C O) structures and these structures were converted into C–OH and O–C–O upon exposure to Cu(II), respectively. In contrast, (C–OH/C–O–C/P–O–C) groups in EPS were observed to be positively correlated to increasing concentrations of Zn(II) in strain P2. Furthermore, the complete genome of M. rubeus P2 helped us to identify 350 genes involved in carbohydrate metabolism, some of which are predicted to be involved in EPS production and modification. This work describes the first detailed biochemical and biophysical analysis of EPS from any strain of Mucilaginibacter with unique heavy metal binding properties. The results will be useful for a better understanding of how microorganisms such as M. rubeus P2 adapt to heavy metal polluted environments and how this knowledge can potentially be harnessed in biotechnological applications such as industrial waste water purification, bioremediation of heavy metal contaminated soil and beneficial plant microbe interactions. The toolbox provided in this paper will provide a valuable basis for future studies.

Non-parallel text style transfer has attracted increasing research interests in recent years. Despite successes in transferring the style based on the encoder-decoder framework, current approaches still lack the ability to preserve the content and even logic of original sentences, mainly due to the large unconstrained model space or too simplified assumptions on latent embedding space. Since language itself is an intelligent product of humans with certain grammars and has a limited rule-based model space by its nature, relieving this problem requires reconciling the model capacity of deep neural networks with the intrinsic model constraints from human linguistic rules. To this end, we propose a method called Graph Transformer based Auto Encoder (GTAE), which models a sentence as a linguistic graph and performs feature extraction and style transfer at the graph level, to maximally retain the content and the linguistic structure of original sentences. Quantitative experiment results on three non-parallel text style transfer tasks show that our model outperforms state-of-the-art methods in content preservation, while achieving comparable performance on transfer accuracy and sentence naturalness., The first two authors share equal-authorship; Code:https://github.com/SenZHANG-GitHub/graph-text-style-transfer ; benchmark: https://github.com/ykshi/text-style-transfer-benchmark

Patients with endometriosis and adenomyosis naturally improve after menopause. Therefore, some patients only need to relieve symptoms, especially those near menopause, and they prefer to be treated by conservative methods. We summarized several minimally invasive interventional methods: uterine artery intervention (Uterine artery embolization, UAE), nerve intervention (upper and lower abdominal plexus block, SHPB), ultrasound intervention (puncture sclerotherapy; high intensity focused ultrasound treatment).

info:eu-repo/semantics/published

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for $\times$2, $\times$3 and $\times$4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.

We examine how attitudes and willingness to pay (WTP) for climate policies have changed over the past decade in the United States, China, and Sweden. All three countries exhibit an increased willingness to pay for climate mitigation. Ten years ago, Sweden had a larger fraction of believers in anthropogenic climate change and a higher WTP for mitigation, but today the national averages are more similar. Although we find convergence in public support for climate policy across countries, there is considerable divergence in climate attitudes and preferences within countries, particularly the United States. Political polarization explains part of this divergence. JEL Classification: Q51, Q54.

We conduct a power scaling study for the femtosecond dissipative soliton generation with a 10-μm core diameter, fiber-based, compact-sized, and low-cost all-normal-dispersion laser configuration. Laser performance, in terms of spectra distribution, temporal characteristic, average power, and stability in 8 h, for different filtering bandwidths has been, respectively, investigated. In the experiment, the obtainable highest output power and shortest pulse duration are 4.5 W and 85 fs, respectively. To our best knowledge, this is the shortest pulse duration among the reported all-fiber pumped Watt-level mode-locked fiber lasers.

In this paper, we innovatively conduct a Porro prism-based beam pointing stability promotion technique research and realize a high-performance rod-type photonic crystal fiber-based chirped pulse amplification (CPA) system, mainly including a frequency-reduced all-fiber pre-amplification stage, photonic crystal rod-based main amplification stage, and 1600 lines/mm transmission grating-pair compressor. Laser output with average power of 50 W, repetition rates of 500 kHz, pulse energy of 100 μJ, pulse duration of 830 fs, beam quality of M2

In the linear motor feed system, all the intermediate transmission components are cancelled. Lots of thrust harmonics caused by the nonlinearity of drive circuit and motor itself directly act on the mechanical system, leading to the vibrations. Meanwhile, the mechanical vibrations also affect the characteristics of motor thrust through the full closed-loop control. There is a close coupling between the servo drive and mechanical system, affecting the dynamic precision of the feed system. Therefore in this paper, an analytical method, which is used to present the mechanism of the electromechanical coupling caused by the thrust harmonics and its effects on the dynamic precision, is explored for the linear motor feed system. The thrust harmonics and mechanical characteristics are calculated firstly. The interactions between the servo system and mechanical system are analyzed afterwards. Then the coupled equation is established and the coupled process is analyzed. Moreover, the influence of the coupling on the displacement fluctuation is discussed. The results show that the thrust harmonics will produce significant displacement fluctuations, which is actually an electromechanical coupling process. In addition, its effects will aggravate with the increase of the velocity. At last several measures are put forward to improve the dynamic precision of the feed system. The displacement fluctuation caused by thrust harmonics is decreased more than 90% by implementing an integrated compensation strategy. This work will provide the theoretical support for the analysis and optimization of the complex electromechanical couplings, especially for the linear motor feed system.

Various shellfish samples were collected from seven coastal areas of Fujian, China, and their arsenic species characteristics were investigated. The results showed that there are six different arsenic species, i.e. arsenite, arsenate, dimethylarsinic acid, arsenobetaine, 5-deoxy-5-dimethylarsinoyl-β-ribofuranose and one unknown arsenic compound As1, existing in shellfish. Among 40 samples, arsenite was detected in 18 shellfish samples at the concentration range of 5–41 ng/g wet weight, and the later five arsenic species were detected in all shellfish samples at the concentration range of 0.01–0.07, 0.01–0.12, 0.13–1.52, 0.03–0.48 and 0.01–0.23 μg/g wet weight, respectively. The experimental results also revealed that the arsenic species characteristics in shellfish were dependent on both the shellfish species and sampling sites. For all 40 shellfish samples, arsenobetaine was the predominant species, its concentration accounted for 25–86% of total concentration of arsenic species; 5-deoxy-5-dimethylarsinoyl-β-ribofuranose was the subdominant arsenic species, its concentration accounted for 4–46% of total concentration of arsenic species. Our results provided basis for scientifically evaluating the arsenic uptake risk of shellfish samples.

The setup of nonlinear pulse compression with hollow-core photonic crystal fiber (HC-PCF) is demonstrated. In our experiment, the HC-PCF is just put in the air with no extra gas fill. The spectrum is effectively broadened to more than 60 nm by delivering the ultrashort laser in the HC-PCF and compressing the pulse with Gires–Tournois interferometer-type dispersion mirrors. The initial pulse duration of 279 fs has been shortened to 36 fs with $20\mu \text{J}$ of pulse energy, which corresponds to a peak power of about 556 MW. To our best knowledge, it is the highest peak power obtained from the solid-state laser at the wavelength around $1~\mu \text{m}$ by using Kagome-type HC-PCF without extra gas fill. With precise dispersion compensation and higher input pulse energy, even shorter pulse width and higher peak power can be obtained.

The permanent magnet linear synchronous motor (PMLSM) feed system realizes the direct drive. All the intermediate mechanical transmission parts are canceled and then the motor mover is directly connected with the driven components. The interaction between servo system and mechanical system becomes more close and complex, affecting the dynamic performance of the direct-driven feed system. In this paper, the dynamic characteristics of the drive circuit, PMLSM, control loops, and mechanical system are analyzed, and then an electromechanical integrated modeling method for the direct-driven feed system is proposed. Firstly, the dynamic precision of the feed system and electromechanical analytical model is studied. Then the nonlinearities of the drive circuit and PMLSM are researched. The analytical expression of the motor thrust is derived. What is more, the mechanical dynamic model is set up using the Lagrange equation and the main forms of the vibrations are discussed. Finally, the electromechanical integrated model is established and the experiments are carried out to verify the theoretical results. The results show that the proposed integrated modeling method can accurately represent the dynamic precision of the direct-driven feed system, which can provide the theoretical foundation for analyzing the electromechanical couplings and compensation methods.

The complicated electromechanical coupling phenomena due to different kinds of causes have significant influences on the dynamic precision of the direct driven feed system in machine tools. In this paper, a novel integrated modeling and analysis method of the multiple electromechanical couplings for the direct driven feed system in machine tools is presented. At first, four different kinds of electromechanical coupling phenomena in the direct driven feed system are analyzed systematically. Then a novel integrated modeling and analysis method of the electromechanical coupling which is influenced by multiple factors is put forward. In addition, the effects of multiple electromechanical couplings on the dynamic precision of the feed system and their main influencing factors are compared and discussed, respectively. Finally, the results of modeling and analysis are verified by the experiments. It finds out that multiple electromechanical coupling loops, which are overlapped and influenced by each other, are the main reasons of the displacement fluctuations in the direct driven feed system.

In this paper, based on the requirement of military integrated information systems and the characteristic of cloud computing, we design a model of platform. This model combines the cloud platform OpenStack, the large data processing framework Spark, in-memory-database and other latest tools, and then the ablity of high scalability and computing of the model is proved, by the testing of data service permornace and scalability. Expermimental results show that the model can meet the requriments of large scale data storage, processing and service in the future battlefield.