28 research outputs found

    Task mapping and mesh topology exploration for an FPGA-based network on chip

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    International audienceTask mapping strategies on NoC (Network-on-Chip) have a huge impact on the timing performance and power consumption. So does the to-pology. In this paper, we describe the exploration flow of task mapping algorithms using different NoC mesh shapes. The flow is used to evaluate timing and energy consumption based on a NoC emulation platform. It is open to any task mapping algorithms and to any shapes of NoC mesh. A heterogeneous (PC and FPGA) platform is used to fully perform each step of the flow. The experiments demonstrate that the most appropriate task mapping strategy and the most suitable NoC shape strongly depend on the algorithm used. Depending on the timing latency results obtained and the FPGA resources used, the designer can select the appropriate task mapping strategy on the suitable shape in a short exploration time and with precise timing evaluation

    Frequency steps and compositions determine properties of needling sensation during electroacupuncture

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    AbstractObjectiveTo investigate the relationship of electro-parameters and the electroacupuncture sensation (EAS), which is thought to be an important factor for optimal treatment.MethodsThe frequency steps and compositions of three frequently used electrical stimulations were set when the switch of the electroacupuncture apparatus was turned to the second or third grade of the dense-disperse frequency wave (DD2 and DD3, respectively) or the second grade of the continuous wave (C2). Three groups of patients according to the three electroacupuncture stimulations were divided again into three sub-groups according to the stimulated acupoints: the face acupoint Quanliao (SI 18), the upper-limb acupoint Quchi (LI 11) and the back acupoint Dachangshu (BL 25). The EAS values were measured every 5 min during 30 min electroacupuncture treatments using a visual analogue scale.ResultsThe frequency compositions of the three electroacupuncture stimulations were 3.3 and 33 Hz, 12.5 and 66.7 Hz, and 3.3 and 3.3 Hz; each frequency step was 30, 54 and 0 Hz, respectively. In each sub-group of the C2 group, the EAS values from 10 to 30 min were significantly weaker than at 0 min. The sensation fluctuations in the DD2 and DD3 groups were different during the 30 min.ConclusionThe greater the frequency step of the electroacupuncture stimulation, the longer the needling sensation lasted. The electroacupuncture stimulations of the DD3 group were unsuitable for the facial acupoint because of its painful and uncomfortable EAS, but more suitable for the back acupoint

    An Event-Based Neurobiological Recognition System with Orientation Detector for Objects in Multiple Orientations

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    A new multiple orientation event-based neurobiological recognition system is proposed by integrating recognition and tracking function in this paper, which is used for asynchronous address-event representation (AER) image sensors. The characteristic of this system has been enriched to recognize the objects in multiple orientations with only training samples moving in a single orientation. The system extracts multi-scale and multi-orientation line features inspired by models of the primate visual cortex. An orientation detector based on modified Gaussian blob tracking algorithm is introduced for object tracking and orientation detection. The orientation detector and feature extraction block work in simultaneous mode, without any increase in categorization time. An addresses lookup table (addresses LUT) is also presented to adjust the feature maps by addresses mapping and reordering, and they are categorized in the trained spiking neural network. This recognition system is evaluated with the MNIST dataset which have played important roles in the development of computer vision, and the accuracy is increase owing to the use of both ON and OFF events. AER data acquired by a DVS are also tested on the system, such as moving digits, pokers, and vehicles. The experimental results show that the proposed system can realize event-based multi-orientation recognition.The work presented in this paper makes a number of contributions to the event-based vision processing system for multi-orientation object recognition. It develops a new tracking-recognition architecture to feedforward categorization system and an address reorder approach to classify multi-orientation objects using event-based data. It provides a new way to recognize multiple orientation objects with only samples in single orientation

    Zanthoxylum bungeanum seed oil inhibits tumorigenesis of human melanoma A375 by regulating CDC25A/CyclinB1/CDK1 signaling pathways in vitro and in vivo

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    Background:Zanthoxylum bungeanum seed oil (ZBSO) is extracted from the seeds of the traditional Chinese medicine Z. bungeanum Maxim, which has been shown to have anti-melanoma effects. However, the specific mechanisms are not illustrated adequately.Aims: To further investigate the mechanism by which ZBSO inhibits melanoma and to provide scientific evidence to support ZBSO as a potential melanoma therapeutic candidate.Methods: CCK-8 assays were used to detect the function of ZBSO on A375 cells. Based on transcriptomics analyses, Western blot analysis was applied to determine whether an association existed in ZBSO with the CDC25A/CyclinB1/CDK1 signaling pathway. In addition, RT-qPCR and immunohistochemistry analysis validated that ZBSO has the anti-melanoma effect in a nude mouse xenograft model of human melanoma. Then, 16S rRNA sequencing was used to detect the regulation of gut microbes.Results: Cellular assays revealed that ZBSO could inhibit A375 cell viability by regulating the cell cycle pathway. Further studies presented that ZBSO could constrain CDC25A/CyclinB1/CDK1 signaling pathway in vitro and in vivo models of melanoma. ZBSO did not produce toxicity in mice, and significantly reduced tumor volume in xenotransplants of A375 cells. Genome analysis indicated that ZBSO successfully altered specific gut microbes.Conclusion: ZBSO inhibited the growth of A375 cells by regulating CDC25A/cyclinB1/CDK1 signaling pathway both in vitro and in vivo, suggesting that ZBSO may be a novel potential therapeutic agent

    Erosion Behavior of Sand-silt Mixtures: the Role of Silt Content

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    An adaptive ramp generator for ADC built-in self-test

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    Association between nutrient intake and female infertility: a study based on NHANES database

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    This study was designed to investigate the association between nutrients and female infertility. A cross-sectional study on 18–45 years of age reproductive-age women was conducted using the data from the National Health and Nutrition Examination Surveys (NHANES) for the periods 2013–2014 and 2015–2016. Multivariate logistic regression analysis was performed to evaluate the association between nutrients and female infertility. Subgroup analysis was applied to the body mass index (BMI). Results were summarised using an odds ratio (OR) with a 95% confidence interval (CI). Of the total 1713 women, 204 women (11.91%) were infertile. The result demonstrated that higher intake of carbohydrate (OR: 0.46, 95% CI: 0.24–0.86, p = 0.018), vitamin A (OR: 0.44, 95% CI: 0.24–0.80, p = 0.009), vitamin C (OR: 0.48, 95% CI: 0.26–0.88, p = 0.020), magnesium (OR: 0.36, 95% CI: 0.17–0.76, p = 0.009), iron (OR: 0.43, 95% CI: 0.23–0.82, p = 0.012), lycopene (OR: 0.55, 95% CI: 0.33–0.91, p = 0.022), and total folate (OR: 0.38, 95% CI: 0.20–0.70, p = 0.003) were associated with a lower risk of female infertility. The subgroup analysis also reported that intakes of vitamin A, vitamin C, and lycopene were related to a lower risk of female infertility among women with a BMI being 18.5–24.9 kg/m2. Among women with BMI > 24.9 kg/m2, high intakes of magnesium, iron and total folate were associated with a decreased risk of female infertility. The intake of several nutrients is associated with a decreased risk of female infertility. These findings provide insight into potentially modifiable lifestyle factors associated with female infertility. Infertility is becoming a global challenge in both medical and social aspects. There is growing evidence of the importance of nutrition in reproduction in animal and human studies, suggesting a correlation between nutrition and female fertility. We observed that higher intakes of carbohydrates, vitamin A, vitamin C, magnesium, iron, lycopene and total folate were associated with a lower risk of female infertility. This study helped increase awareness among health professionals and patients about the important link between nutrients and infertility, and educate women about the significance of a healthy lifestyle and diet.</p
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