46 research outputs found

    DwarvesGraph: A High-Performance Graph Mining System with Pattern Decomposition

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    This paper presents DwarvesGraph, the first graph mining system that decomposes the target pattern into several subpatterns, and then computes the count of each. The results of the target pattern can be calculated using the subpattern counts with very low additional cost. Despite decomposition-based algorithms have been studied for years, we propose several novel techniques to address key system challenges: 1) a partial-embedding-centric programming model with efficient supports for pattern existence query and advanced graph mining applications such as FSM; 2) an accurate and efficient cost model based on approximate graph mining; 3) an efficient search method to jointly determine the decomposition of all concrete patterns of an application, considering the computation cost and cross-pattern computation reuse; and 4) the partial symmetry breaking technique to eliminate redundant enumeration for each subpattern while preserving equivalence of computation. Our experiments show that DwarvesGraph is significantly faster than all existing state-of-the-art systems and provides a novel and viable path to scale to large patterns

    GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism

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    Communication is a key bottleneck for distributed graph neural network (GNN) training. This paper proposes GNNPipe, a new approach that scales the distributed full-graph deep GNN training. Being the first to use layer-level model parallelism for GNN training, GNNPipe partitions GNN layers among GPUs, each device performs the computation for a disjoint subset of consecutive GNN layers on the whole graph. Compared to graph parallelism with each GPU handling a graph partition, GNNPipe reduces the communication volume by a factor of the number of GNN layers. GNNPipe overcomes the unique challenges for pipelined layer-level model parallelism on the whole graph by partitioning it into dependent chunks, allowing the use of historical vertex embeddings, and applying specific training techniques to ensure convergence. We also propose a hybrid approach by combining GNNPipe with graph parallelism to handle large graphs, achieve better computer resource utilization and ensure model convergence. We build a general GNN training system supporting all three parallelism setting. Extensive experiments show that our method reduces the per-epoch training time by up to 2.45x (on average 1.58x) and reduces the communication volume and overhead by up to 22.89x and 27.21x (on average 8.69x and 11.60x), respectively, while achieving a comparable level of model accuracy and convergence speed compared to graph parallelism

    Electro- and photon-induced cooling in BNT-BT-SBET relaxors with in situ optical temperature sensing

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    A novel lead-free luminescent ferroelectric (FE) ceramic, Bi0.5Na0.5TiO3-0.06BaTiO3-0.055Sr0.7Bi0.18Er0.02□0.1TiO3, is developed with an adiabatic temperature change (ΔT) of 0.7 K under an electric-field (E) of 60 kV/cm at room temperature (RT), an anti-stokes fluorescence (FL) cooling and a maximum optical T sensitivity of 0.0055 K-1 at 522 K. Interestingly, the electrocaloric (EC) response reaches a saturation at permittivity-shoulder T of 100 oC, meanwhile the maximized emission intensity of 2H11/2→4I15/2 occurs. T- and E-tunable enhancement of 2H11/2→4I15/2 emission intensity is due to the population inversion from the 4S3/2 to 2H11/2 states caused by an incoherent regime consisting of FE phase and polar nanoregions (PNRs) in a relaxor (R) matrix

    Experimental Study on the Characteristics of Fire Smoke Movement in Ultra Thin and Tall Atriums by Hot Smoke Test

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    The characteristics of smoke natural filling in ultra thin and tall atriums were investigated by hot smoke test method. For the fire located on the atrium ground, the smoke touched the side wall first and then extended both upwards and downwards. The smoke plume rising velocity variation can be divided into four stages, different from the normal law in large spaces. In the very early stage of natural filling, the smoke concentration near the height of wall touching point was highest and maintained at a high level in the whole process. The linear trend of temperature increasing in plume center above the height of touching point was broken, far less than the theoretical predictions, which verified the enhancement effect of boundary heat exchange caused by plume restriction. The variation tendencies of smoke density and temperature were similar during the hot smoke test,and there existed a good linear relation between these two parameters. The height-width ratio was calculated as 3.2 averagely by the test results when smoke plume would likely touch atrium walls, and it was very close to the theoretically derived value. This ratio can be used as the definition condition for ultra thin and tall atriums

    Experimental Study on the Characteristics of Fire Smoke Movement in Ultra Thin and Tall Atriums by Hot Smoke Test

    No full text
    The characteristics of smoke natural filling in ultra thin and tall atriums were investigated by hot smoke test method. For the fire located on the atrium ground, the smoke touched the side wall first and then extended both upwards and downwards. The smoke plume rising velocity variation can be divided into four stages, different from the normal law in large spaces. In the very early stage of natural filling, the smoke concentration near the height of wall touching point was highest and maintained at a high level in the whole process. The linear trend of temperature increasing in plume center above the height of touching point was broken, far less than the theoretical predictions, which verified the enhancement effect of boundary heat exchange caused by plume restriction. The variation tendencies of smoke density and temperature were similar during the hot smoke test,and there existed a good linear relation between these two parameters. The height-width ratio was calculated as 3.2 averagely by the test results when smoke plume would likely touch atrium walls, and it was very close to the theoretically derived value. This ratio can be used as the definition condition for ultra thin and tall atriums

    Clinical Characteristics and Surgical Procedures for Children with Congenital Membranous Cataract

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    Objective. In a group case series, the clinical characteristics of congenital membranous cataract in children were studied to establish a system of classification and determine the surgical method suited for each type. Methods. Children (18 eyes) with congenital membranous cataract were examined by slit lamp, ultrasound biomicroscopy, and operating microscopy to classify cataracts. The clinical characteristics of congenital membranous cataract and its feature related to the surgical method were analyzed. Results. Five major types of congenital membranous cataracts were classified. All of the surgeries were successful. Anterior and posterior capsulorhexis was performed using Klöti RF capsulotomy tips. The capsular flap was removed, and anterior vitrectomy was performed using a vitrectomy cutter. Postoperative complications included posterior capsule opacification in 16.7% of the patients. Conclusion. Ultrasound biomicroscopy was used successfully to classify congenital membranous cataracts prior to surgery. Anterior and posterior capsulorhexis was performed using Klöti RF capsulotomy tips, and capsulectomy was performed using a vitrectomy cutter. These were effective techniques and should be considered for congenital membranous cataract removal surgery. This trial is registered with registration number chiCTR-OOC-17010913

    A novel function of novobiocin: disrupting the interaction of HIF 1α and p300/CBP through direct binding to the HIF1α C-terminal activation domain.

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    Hypoxia-inducible factor 1α (HIF1α) is an important cellular survival protein under hypoxic conditions, regulating the cellular response to low oxygen tension via recruitment of a transcriptional co-activator, p300/CBP. p300/CBP induces expression of multiple genes involved in cell survival, proliferation, angiogenesis, and tumor development. Thus, a strategy to inhibit hypoxic responses in tumors may be to target the protein-protein interaction between HIF1α and p300/CBP. Here, we document, for the first time, that the aminocoumarin antibiotic, novobiocin, directly blocks the protein-protein interaction between the HIF1α C-terminal activation domain (CTAD) and the cysteine-histidine rich (CH1) region of p300/CBP. Also, novobiocin down-regulated HIF1α-controlled gene expression, specifically CA9, which is related to tumorigenesis. In a monolayer cell culture, novobiocin inhibited cell proliferation and colony formation in the MCF-7 human breast adenocarcinoma cell line and the A549 human lung cancer cell line. Rescue experiments revealed that the recombinant CTAD fragment of HIF1α partially reversed novobiocin's inhibitory effects on cell proliferation and colony formation in MCF-7 cells. These findings suggest a novel mechanism of action for novobiocin which has the potential for innovative therapeutic use in tumor treatment

    Controllable-permittivity and low-loss of Ba0.5Sr0.5TiO3/MgO composites prepared by citrate gel derived core-shell powders

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    Core-shell Ba0.5Sr0.5TiO3(BST)/MgO nano-composites have been synthesized by using an oleic acid modified citrate gel in situ process. The nano-composites exhibit a spherical microstructure consisting of large amounts of small particles with average sizes of 50-100 nm, which results in high F center levels in the composite ceramics. Interestingly, microwave permittivity of the composite can be reduced significantly with increasing volume fraction of MgO, while microwave loss and tunability remain almost unchanged, which is in good agreement with the results of the columnar model

    HIF1αCTAD interacts with p300.

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    <p><b>A.</b> Deletion structure of HIF1α. The schematic diagram indicates their length and location compared with full-length HIF1α. <b>B.</b> Fragments of HIF1α were cloned and expressed as His-GST fusion proteins and were analyzed by SDS-PAGE (4–20% gradient gel, BioRad). Proteins were visualized by Coomassie Blue staining. <b>C.</b> Deletion HIF1α 425 and HIF1α 776 bind to endogenous p300: ∼10 µg of bacterially expressed and GST purified HIF1α 425 and HIF1α 776 (CTAD) were mixed with 100 µl of HeLa nuclear extract and 15 µl of glutathione-sepharose 4 Fast Flow beads (Amersham Biosciences) in binding buffer containing 40 mM Tris-HCl (pH 7.4), 150 mM NaCl, and 0.2% (v/v) Triton X-100. Protein mixtures were incubated for 4 hours at 4°C and bound proteins were eluted with elution buffer containing 25 µl of 30 mM glutathione, 40 mM Tris-HCl (pH 7.5), 10% (v/v) glycerol, and 150 mM NaCl. Pulled-down p300 was confirmed by Western blotting with anti-p300 antibody. <b>D.</b> Overexpressed full length (FL) HIF1α interacts with endogenous p300 in the presence or absence of CoCl<sub>2</sub>. HeLa cells were transiently transfected with 1 µg of HPC4-HIF1α. Hypoxia conditions were induced by adding CoCl<sub>2</sub> (Sigma, 150 µM). Proteasome inhibitor MG132 (50 µM) was added to block protein degradation and assess the total amount of HIF1α 3 hours before harvest. Then, 72 hours after HPC4-HIF1α transfection, cells were harvested and lysed for immunoblot.</p
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