As a highly reliable hermetic sealing method, parallel seam welding sealing has an increasingly important application in the ceramic packaging industry. For thin-walled ceramic package, the ...structural strength itself is relatively weak, and the high energy instantaneously generated during the seam welding process will cause thermal shock to the ceramic package while completing the sealing. In the subsequent reliability test, the residual stress is accumulated and finally released, resulting in a reduction in the structural strength of the casing, and finally air leakage or even porcelain cracking. In this paper, the thermal effect of the thin-walled ceramic package during the parallel seam welding process is simulated and analyzed by using Abaqus finite element analysis software. The influence of the parameters in the parallel seam welding process on the thermal effect of the ceramic package is mainly studied. The thermal stress distribution state of the package under different parallel seam welding parameter conditions is analyzed, which provides a theoretical basis for the sealing reliability of thin-walled packages. The simulation results are verified experimentally. A thin-walled CSOP16 line ceramic package was used to conduct multiple batches of sealing tests, and the sealing parameters were optimized and adjusted from the perspective of pulse width and period. The energy tolerance threshold of the parallel seam welding sealing of thin-walled packages is summarized, and the thermal shock caused by the parallel seam welding process to the ceramic package is reduced through experimental research, so that the thin-walled packages can meet the requirements of sealing reliability test after parallel seam welding. . The problem of porcelain cracking in the sealing of this type of package is solved, and a process specification is formed to guide the sealing process of the thin-walled package.
Aim： The aim of the present study was to investigate whether low dose genistein affects the invasion and epithelial mesenchymal transition （EMT） of prostate cancer （PCa） cells. Methods： Human PCa ...cell lines, IA8-ARCaP and LNCaP/ HIF-1a, were used in this study. The cell lines were found to process EMT in our previous study. The PCa cells were treated with increasing concentrations, from 0.1 to 75 pmol/L. Proliferation was assessed with 3-（4,5-dimethylthiazo1- 2-yl）-2,5-diphenyltetrazolium bromide assay. EMT was proven by cell morphological transition and the expression changes of EMT-related markers, which were confirmed by RT-PCR, Western blotting, and indirect immunofluorescence labeling. Transwell invasion assay was used to analyze the invasive potency. Results： The addition of genistein to the medium reduced the IA8-ARCaP and LNCaP/HIF-1 a viable cell number in a dose-dependent manner （with increasing concentrations from 15 to 75 μmol/L）. Less than 15 μmol/L genistein was selected as the low dose concentration, which did not affect cell proliferation. The treatment of cells with low-dose genistein induced the reversal of EMT, which was confirmed by cell morphological transition and the expression changes of EMT-related markers. The reversal of EMT in the PCa cells by low-dose genistein was in a dose-dependent manner. Moreover, low-dose genistein effectively inhibited invasion of the PCa ceils in vitro. Conclusion： These results showed that treatment with low-dose genistein may be a potential strategy for the suppression of invasive growth through the reversal of EMT in cancer cells, which justifies the potential use of soybean foods as a practical chemopreventive approach for patients with PCa.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Homozygous familial hypercholesterolemia developed into severe cardiovascular consequences early. Untreated HoFH usually cannot survive over 30 years old. Acute coronary syndrome(ACS) caused by ...plaque rupture is one of the main causes of death in HoFH. As the highest resolution intravascular imaging technique, optical coherence tomography(OCT) can clearly show the thickness and structural characteristics of atherosclerotic plaque caps. In this study, a Chinese male HoFH received percutaneous coronary intervention for unstable angina. After analyzed his genetic and follow-up data, OCT was performed during interventional therapy. Multiple lipid rich plaques accompanied with inflammatory cell infiltration and a thin-cap fibroatheroma(TCFA) were noted, which reflected the vulnerability of plaques. The utility of OCT had certain guiding significance for strategy of interventional therapy and the long-term drug management. And this case suggested that it was important to undergo OCT examination for patients with HoFH who required percutaneous coronary intervention.
•Multiple lipid rich plaques and a TCFA were noted by OCT in a HoFH patient.•HoFH had high risk of acute coronary syndromeplaque caused by plaque rupture.•OCT had guiding significance for interventional therapy and long-term drug management.•OCT was important for HoFH who required percutaneous coronary intervention.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
For intelligent autonomous vehicles, they play an important role in user-friendly usage in crowded environments, so the recent focus has been on providing object recognition and collision avoidance ...functions. In this study, a Xilinx Deep Learning Processor Unit (DPU)-based Light Convolutional Neural Network (CNN) model was implemented for object detection and classification, and FPGA-based hardware acceleration was used to efficiently detect pedestrians and other objects. With the DPU-based implementation, the accuracy of the proposed object classification and face orientation detection model reaches up to 90% on image datasets collected in supermarkets. Compared to previous GPU-based software implementations, the proposed approach provides better frames-per-second (FPS) performance for real-time applications.
Linear Regression (LR) is a classical machine learning algorithm which has many applications in the cyber physical social systems (CPSS) to shape and simplify the way we live, work and communicate. ...This paper focuses on the data analysis for CPSS when the Linear Regression is applied. The training process of LR is time-consuming since it involves complex matrix operations, especially when it gets a large scale training dataset In the CPSS. Thus, how to enable devices to efficiently perform the training process of the Linear Regression is of significant importance. To address this issue, in this paper, we present a secure, verifiable and fair approach to outsource LR to an untrustworthy cloud-server. In the proposed scheme, computation inputs/outputs are obscured so that the privacy of sensitive information is protected against cloud-server. Meanwhile, computation result from cloud-server is verifiable. Also, fairness is guaranteed by the blockchain, which ensures that the cloud gets paid only if he correctly performed the outsourced workload. Based on the presented approach, we exploited the fair, secure outsourcing system on the Ethereum blockchain. We analysed our presented scheme on theoretical and experimental, all of which indicate that the presented scheme is valid, secure and efficient.
The present study was conducted to elucidate the influence of impurities in waste ferrous sulfate on its recovery of magnetite. Ferrous sulfate solution was purified by the addition of Na OH solution ...to precipitate impurities, and magnetite was recovered from ferrous sulfate solution without and with purification pretreatment. Calcium hydroxide was added to the solution of ferrous sulfate as a precipitator. A mixed product of magnetite and gypsum was subsequently obtained by air oxidation and heating. Wet-milling was performed prior to magnetic separation to recover magnetite from the mixed products. The results show that with the purification pretreatment, the grade of iron in magnetite concentrate increased from 62.05% to 65.58% and the recovery rate of iron decreased from 85.35% to 80.35%. The purification pretreatment reduced the conglutination between magnetite and gypsum, which favors their subsequent magnetic separation. In summary, a higher-grade magnetite with a better crystallinity and a larger particle size of 2.35 μm was obtained with the purification pretreatment.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
The huge energy consumption of data centers has brought great pressure to operating enterprises, power plants, and the environment. How to effectively reduce energy consumption has aroused wide ...attention. Prediction of data center PUE (Power Usage Effectiveness) or energy consumption is a promising way to reduce data center energy consumption. It will provide many ideas for data center to reduce energy consumption if the PUE prediction can be accurately predicted. However, in the previous researches on predicting PUE or energy consumption, there are some shortcomings such as the factors to PUE are not fully considered and lack of consideration of the time series information of energy related data. In this paper, we investigate how to predict the PUE value of data center by fully exploiting the knowledge energy consumption related historical data over time. To this end, we first collect more than 50,000 data samples with 144 energy related variables. Then, these data samples are preprocessed for normalization and feature selection. After that, considering the temporal property of the energy consumption related data, a GRU based neural network model is designed as the algorithm to train the data for generating the model for PUE prediction. Finally, extensive experiments are conducted based on the real data trace to evaluate the performance of the GRU model. The results demonstrate that our proposed model is efficient in accurately predicting the PUE value, and outperforms the baseline schemes with respect to MAE, MSE, and R-Squared.
AIM To investigate the underlying mechanisms of the protective role of remote ischemic perconditioning(RIPerC) in rat liver transplantation. METHODS Sprague-Dawley rats were subjected to sham, ...orthotopic liver transplantation(OLT), ischemic postconditioning(IPostC) or RIPerC. After 3 h reperfusion, blood samples were taken for measurement of alanine aminotransferase, aspartate aminotransferase, creatinine(Cr) and creatinine kinase-myocardial band(CK-MB). The liver lobes were harvested for the following measurements: reactive oxygen species(ROS), H2O2, mitochondrial membrane potential(ΔΨm) and total nitric oxide(NO). These measurements were determined using an ROS/H2O2, JC1 and Total NOx Assay Kit, respectively. Endothelial NO synthase(e NOS) was analyzed by reverse transcription-polymerase chain reaction(RTPCR) and western blotting, and peroxynitrite was semiquantified by western blotting of 3-nitrotyrosine. RESULTS Compared with the OLT group, the grafts subjected to RIPerC showed significantly improved liver and remote organ functions(P < 0.05). ROS(P < 0.001) including H2O2(P < 0.05) were largely elevated in the OLT group as compared with the sham group, and RIPerC(P < 0.05) reversed this trend. The collapse of ΔΨm induced by OLT ischemia/reperfusion(I/R) injury was significantly attenuated in the RIPerC group(P < 0.001). A marked increase of NO content and phosphoserine eN OS, both in protein and mR NA levels, was observed in liver graft of the RIPer C group as compared with the OLT group(P < 0.05). I/R-induced 3-nitrotyrosine content was significantly reduced in the RIPerC group as compared with the OLT group(P < 0.05). There were no significant differences between the RIPerC and IPostC groups for all the results except Cr. The Cr level was lower in the RIPerC group than in the IPostC group(P < 0.01).CONCLUSION Liver graft protection by RIPerC is similar to or better than that of IPostC, and involves inhibition of oxidative stress and up-regulation of the PI3K/Akt/e NOS/NO pathway.
Traffic condition estimation services a critical role on assisting vehicles to estimate current traffic states and determine an optimal route for their journey, thereby improving the traffic ...efficiency in smart transportation. To accurately estimate traffic conditions of roads, a number of efforts focusing on fixed-camera based traffic estimation has been developed. However, fixed-cameras in smart transportation usually are deployed on road-side units, leading to limited visual areas. Additionally, these existing schemes also are lack of flexibility and cannot achieve great traffic estimation efficiency to roads with less cameras deployed. To address these issues, in this paper an In-vehicle Camera based Traffic Estimation scheme (ICTE) is proposed for smart transportation system to assist vehicles to estimate traffic conditions with traffic videos collected by in-vehicle cameras. Integrating with edge computing and V2X (vehicle-to-vehicle (or infrastructure)) networks, our scheme can obtain extra computation and communication resource to accurately estimate traffic conditions anywhere vehicles reach. Particularly, YOLO-based vehicle detection and Hough-based lane detection are introduced in our ICTE to detect the vehicles and lanes in traffic videos captured by in-vehicle cameras. Then, a lane-based vehicle counting model is developed to count the number of vehicles that travels on different lanes. Finally, a density-based traffic estimation model is conducted to estimate traffic conditions based on the vehicle density. Via simulation experiments, our data shows that ICTE can achieve great accuracy and efficiency in terms of vehicle counting and traffic condition estimation.
Giant planets like Jupiter and Saturn, play important roles in the formation
and habitability of Earth-like planets. The detection of solar system analogs
that have multiple cold giant planets is ...essential for our understanding of
planet habitability and planet formation. Although transit surveys such as
Kepler and TESS have discovered thousands of exoplanets, these missions are not
sensitive to long period planets due to their limited observation baseline. The
Tianyu project, comprising two 1-meter telescopes (Tianyu-I and II), is
designed to detect transiting cold giant planets in order to find solar system
analogs. Featuring a large field of view and equipped with a high-speed CMOS
camera, Tianyu-I will perform a high-precision photometric survey of about 100
million stars, measuring light curves at hour-long cadence. The candidates
found by Tianyu-I will be confirmed by Tianyu-II and other surveys and
follow-up facilities through multi-band photometry, spectroscopy, and high
resolution imaging. Tianyu telescopes will be situated at an elevation about
4000 meters in Lenghu, China. With a photometric precision of 1% for stars with
V < 18 mag, Tianyu is expected to find more than 300 transiting exoplanets,
including about 12 cold giant planets, over five years. A five-year survey of
Tianyu would discover 1-2 solar system analogs. Moreover, Tianyu is also
designed for non-exoplanetary exploration, incorporating multiple survey modes
covering timescales from sub-seconds to months, with a particular emphasis on
events occurring within the sub-second to hour range. It excels in observing
areas such as infant supernovae, rare variable stars and binaries, tidal
disruption events, Be stars, cometary activities, and interstellar objects.
These discoveries not only enhance our comprehension of the universe but also
offer compelling opportunities for public engagement in scientific exploration.
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