739 research outputs found

    Dynamic characteristics of centrifugal pump induced by fluid and motor excitation forces

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    The combined dynamic characteristics of the centrifugal pump induced by the fluid and motor excitation forces are investigated in this paper. The coupling vibrations of a centrifugal pump during the operation are mainly caused by the fluid excitation and the motor excitation forces. The finite element model was constructed in this paper under the consideration of the fluid excitation which was obtained from the numerical simulation and the motor excitation force which came from the experiments; compared with the experimental results and well agreement, the components of the whole model were validated to be accurate enough for simulation. Applying the approach of the modal dynamics, the dynamic analysis was conducted to study the influence of the flow rate, the blade number, the exit installation angle and the outside diameter of impeller on the responses. The suggested optimal parameters were provided from the perspective of the vibration reduction. The results of the calculation are helpful to the designation and the safe operation of the centrifugal pumps

    The Role of Vitamin D Metabolism in the Timing of Birth

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    The 56th Annual Medical Student Research Forum at UT Southwestern Medical Center (Tuesday, January 23, 2018, 2-5 p.m., D1.600)Preterm birth (PTB, <37 weeks of gestation) is the leading cause of neonatal mortality and morbidity. Both term and preterm labor are associated with increased levels of proinflammatory cytokines within fetal and maternal reproductive tissues. Uterine quiescence is maintained throughout most of pregnancy by increased circulating progesterone (P4) and enhanced progesterone receptor (PR) activity, which silence expression of proinflamᆲmatory mediators and contraction-associated genes. To identify novel genes that maintain uterine quiescence during pregnancy and promote the initiation of term and preterm labor, our lab conducted RNA sequencing of myometrium from timed-pregnant mice at 15.5-18.5 days post-coitum (dpc) and during labor (19.0 dpc). Novel genes of interest were identified through transcriptome profiling and validated by quantitative real-time PCR. Cyp27b1 was one of the most highly downregulated transcripts in pregnant mouse myometrium at 18.5 dpc and in-labor, compared to 15.5 dpc. Cyp27b1 1α-hydroxylase, the key enzyme in synthesis of the bioactive form of vitamin D, calcitriol, which binds to the vitamin D receptor (VDR), a member of the steroid/nuclear receptor family, which was also downregulated at term. Calcitriol/VDR mediate anti-inflammatory actions in various tissues; calcitriol synthesized by human placenta, decidual macrophages and uterine natural killer cells was reported to regulate maternal immunologic tolerance to the hemi-allogeneic fetus during pregnancy. The effect of P4 and of the PR antagonist, RU486, on Cyp27b1/VDR mRNA expression was analyzed. We observed that P4 treatment of timed-pregnant mice caused a significant increase in myometrial CYP27B1 mRNA levels compared to time-matched controls in labor at term. In RU486-treated mice, CYP27B1 mRNA decreased signifi-cantly 8 hours post-injection and remained significantly reduced during preterm labor, compared to vehicle-injected mice. Based on these collective findings, we postulate that CYP27B1 and VDR are key P4/PR target genes in the pregnant myometrium that act cooperatively with P4/PR to maintain myometrial quiescence via their anti-inflammatory actions. Thus, the decline in PR function near term, accompanied by a parallel decline in CYP27B1/VDR, permit increased inflammatory gene expression leading to myometrial contractility and labor. We hypothesize that calcitriol may provide a safe and effective treatment for prevention of PTB.Southwestern Medical Foundatio

    Synchronous and subsynchronous vibration under the combined effect of bearings and seals: numerical simulation and its experimental validation

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    A three-dimensional computational fluid dynamics (CFD) model of a labyrinth seal was established in order to investigate the influence mechanism of combined effects between bearings and labyrinth seals on the dynamic characteristics of the rotor-bearing-seal system. The dynamic coefficients of the labyrinth seal for various rotating speeds were calculated. Results show that the absolute values of cross-coupled coefficients increase with the increasing rotating speed, while the absolute values of direct coefficients decrease slightly. The positive preswirl at the inlet tends to intensify the increase of cross-coupled coefficients and the decrease of direct coefficients. The negative preswirl shows the opposite effect. A finite element model was further setup. Results show that the labyrinth seal has a large influence on the synchronous response of rotor in the resonant region due to its damping effect. For other speeds, it has a minor effect. The labyrinth seal may promote the instability of the rotor-bearing-seal system. The subsynchronous vibration increases significantly when the seal force is taken into account. The system stability can be generally enhanced by introducing the negative preswirl at the inlet. Results also show that the detrimental influence of the labyrinth seal can be compensated by using suitable bearings. A proper bearing configuration can be designed to reduce the risks of rotordynamic instabilities due to seals. An experimental test was finally performed, and it shows good agreements with the numerical simulation

    Decelerated non-relativistic expansion in a tidal disruption event with a potential neutrino association

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    A tidal disruption event (TDE) involves the tidal shredding of a star in the vicinity of a dormant supermassive black hole. The nearby (\approx230 mega-parsec) radio-quiet (radio luminosity of 4×10384 \times 10^{38} erg s1^{-1}) AT2019dsg is the first TDE potentially associated with a neutrino event. The origin of the non-thermal emission in AT2019dsg remains inconclusive; possibilities include a relativistic jet or a sub-relativistic outflow. Distinguishing between them can address neutrino production mechanisms. High resolution very long baseline interferometry monitoring provides uniquely constraining flux densities and proper motion of the ejecta. A non-relativistic (outflow velocity of \approx0.1 cc) decelerated expansion in a relatively dense environment is found to produce the radio emission. Neutrino production may be related to the acceleration of protons by the outflow. The present study thus helps exclude jet-related origins for the non-thermal emission and neutrino production, and constrains non-jetted scenarios.Comment: 40 pages, 3 figures, 2 tables. Submitted after revisio

    Open-World Human-Object Interaction Detection via Multi-modal Prompts

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    In this paper, we develop \textbf{MP-HOI}, a powerful Multi-modal Prompt-based HOI detector designed to leverage both textual descriptions for open-set generalization and visual exemplars for handling high ambiguity in descriptions, realizing HOI detection in the open world. Specifically, it integrates visual prompts into existing language-guided-only HOI detectors to handle situations where textual descriptions face difficulties in generalization and to address complex scenarios with high interaction ambiguity. To facilitate MP-HOI training, we build a large-scale HOI dataset named Magic-HOI, which gathers six existing datasets into a unified label space, forming over 186K images with 2.4K objects, 1.2K actions, and 20K HOI interactions. Furthermore, to tackle the long-tail issue within the Magic-HOI dataset, we introduce an automated pipeline for generating realistically annotated HOI images and present SynHOI, a high-quality synthetic HOI dataset containing 100K images. Leveraging these two datasets, MP-HOI optimizes the HOI task as a similarity learning process between multi-modal prompts and objects/interactions via a unified contrastive loss, to learn generalizable and transferable objects/interactions representations from large-scale data. MP-HOI could serve as a generalist HOI detector, surpassing the HOI vocabulary of existing expert models by more than 30 times. Concurrently, our results demonstrate that MP-HOI exhibits remarkable zero-shot capability in real-world scenarios and consistently achieves a new state-of-the-art performance across various benchmarks.Comment: CVPR24. arXiv admin note: text overlap with arXiv:2305.1225

    In vitro evaluation of a novel pH neutral calcium phosphosilicate bioactive glass that does not require preconditioning prior to use

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    It is well known that bioactive glasses can cause a significant increase in pH due to the rapid release of calcium and/or sodium ions. Consequently, preconditioning of the glass is usually required prior to surgery to negate the effect of this sudden release of ions. However, preconditioning for several days is far from ideal and also preconditioning is not practical for novel organic/inorganic sol-gel hybrids currently being developed since the organic phase will start to hydrolyze and dissolve. This study describes a bioactive glass that dissolves without causing a significant change in pH from physiologically optimal values and requires no preconditioning prior to use. The bioactivity of the pH neutral glass, hydroxyapatite formation, and cellular responses, are measured and compared directly with results from archetypal 45S5 and S70C30 bioactive glasses. A hydroxyapatite layer was found to rapidly form (within 1 day) on the surface of the pH neutral glass upon reacting with simulated body fluid. In addition, improved cell compatibility was observed compared with 45S5 and S70C30 glasses. Therefore, this pH neutral glass has significant potential for bone repair applications

    Prevalence of Depression and Anxiety Symptoms of High School Students in Shandong Province During the COVID-19 Epidemic

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    © Copyright © 2020 Zhang, Zhai, Yang, Zhang, Zhou, Yang, Duan and Zhou. Background: The coronavirus disease 2019 (covid-19) has brought physical risks as well as psychological challenges to the whole world. High school students are a special group suffering from both the academic pressure and the threat of the epidemic. The present study aims to conduct an online survey to investigate the psychological status of high school students in Shandong Province. Methods: Using a web-based cross-sectional survey, data was collected from 1,018 voluntary high school students assessed with demographic information, the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7) and a self-designed online-study effect survey. Correlation analysis was performed to explore the relationships between depression symptoms, anxiety symptoms, and study effect. Result: The prevalence of depressive symptoms, anxiety symptoms, and a combination of depressive and anxiety symptoms was 52.4, 31.4, and 26.8%, respectively, among high school students in Shandong Province during the COVID-19 epidemic. And from moderate to severe severity level, the rates of depressive symptoms and anxious symptoms were 17.6 and 4.6%. Female students exhibited a higher rate and severity of mental symptoms than male, and grade one senior high school students got a higher rate and severity of mental symptoms than the other two grades. Nearly half of the students were not satisfied with their online-study effect. The PHQ-9 score had a strong positive correlation with the GAD-7 score. Both the PHQ-9 score the GAD-7 score had a negative correlation with the study-effect survey score. Conclusion: Quite a number of high school students suffered from depression and anxiety symptoms during the COVID-19 epidemic. Sufficient attentions should be paid, and necessary supports should be provided, to protect the mental health of this special group

    Neural Interactive Keypoint Detection

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    This work proposes an end-to-end neural interactive keypoint detection framework named Click-Pose, which can significantly reduce more than 10 times labeling costs of 2D keypoint annotation compared with manual-only annotation. Click-Pose explores how user feedback can cooperate with a neural keypoint detector to correct the predicted keypoints in an interactive way for a faster and more effective annotation process. Specifically, we design the pose error modeling strategy that inputs the ground truth pose combined with four typical pose errors into the decoder and trains the model to reconstruct the correct poses, which enhances the self-correction ability of the model. Then, we attach an interactive human-feedback loop that allows receiving users' clicks to correct one or several predicted keypoints and iteratively utilizes the decoder to update all other keypoints with a minimum number of clicks (NoC) for efficient annotation. We validate Click-Pose in in-domain, out-of-domain scenes, and a new task of keypoint adaptation. For annotation, Click-Pose only needs 1.97 and 6.45 NoC@95 (at precision 95%) on COCO and Human-Art, reducing 31.4% and 36.3% efforts than the SOTA model (ViTPose) with manual correction, respectively. Besides, without user clicks, Click-Pose surpasses the previous end-to-end model by 1.4 AP on COCO and 3.0 AP on Human-Art. The code is available at https://github.com/IDEA-Research/Click-Pose.Comment: Accepted to ICCV 202
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