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205 results on '"Feng Xiaoxing"'

1. Effect of laser type on hole machining of SiC/SiC composites

Author

YANG Jinhua, HUANG Wangquan, FENG Xiaoxing, LIU Hu, AI Yingjun, ZHOU Yiran, and JIAO Jian

Subjects
sic/sic composites, laser processing, ceramic matrix composites, nanosecond laser, millisecond laser, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Abstract

SiC/SiC composites have the characteristics of high hardness and brittleness, and they are typical difficult materials to process. Laser processing is mainly used to prepare cooling holes. Millisecond and nanosecond lasers mainly use photothermal action to rapidly heat the target material, melt and gasify it, and remove the material with the help of high-speed gas flow. Due to the short pulse duration and high peak power of nanosecond laser, it is easier to realize the gasification of materials, and the thermal effect caused is less. In this paper, millisecond and nanosecond lasers are used to make holes in SiC/SiC composites respectively. The results show that for cooling holes with a diameter of 0.6 mm and an inclination angle of 25 °, the processing time of nanosecond laser is 8.7 times longer than that of millisecond laser. The two kinds of laser processed holes have certain taper, in which the hole cone angle of nanosecond laser processing is 2.12 ° and that of millisecond laser processing is 1.49 °. There are residues in the inner, outlet end and inlet end of the hole processed by millisecond laser, and there are obvious remelting oxidation zone and heat affected zone around the hole. However, there is no obvious residue inside the hole processed by nanosecond laser, there is discoloration at the inlet end of the laser, there is no discoloration at the outlet end, and there is no obvious remelting oxidation zone and heat affected zone. The results of elemental analysis show that both kinds of laser processing can cause the oxidation of materials.

Published
2023
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2. Central recirculation zone in a V-shaped premixed swirling flame

Author

Wang, Qiuxiao, Ren, Yongzhi, Gu, Mingming, Yu, Bowen, Feng, Xiaoxing, Qi, Fei, and Xia, Xi

Subjects
Physics - Fluid Dynamics
Abstract

This paper presents an experimental study on the emergence of the central recirculation zone (CRZ) in a V-shaped premixed swirling flame, using simultaneous measurement of particle image velocimetry (PIV) and CH* chemiluminescence. The results show that either increasing the Reynolds number (Re) or decreasing the equivalence ratio ({\Phi}) would facilitate the emergence of CRZ. Further analysis demonstrates that the CRZ characteristics and its emergence are strongly influenced by the inner shear layer (ISL) surrounding the CRZ, while the swirl intensity remains unchanged. Dimensional analysis is performed to understand the underlying mechanism, suggesting the CRZ emergence is controlled by a non-dimensional parameter, Re_s=|{\gamma}|_max D/{\nu}_s, defined based on the maximum ISL intensity (|{\gamma}|_max), the exit diameter (D), and the kinematic viscosity ({\nu}_s) of the burnt gas. By estimating the temperature and viscosity with a simple heat-loss model, we show in the |{\gamma}|_max D-{\nu}_s regime diagram that the cases with and without CRZ are separated by a single boundary line, corresponding to a critical Re_s of about 424. This verifies the applicability of the proposed Re_s criterion to lean-premixed V-shaped swirling flames under various conditions. Unlike most previous works that attribute the CRZ of swirling flames to vortex breakdown, the present work reveals the non-negligible effect of the ISL, especially the CRZ suppression when the ISL is weakened by flame heating.

Published
2022

3. Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

Author

Wang, Jianqiang, Ding, Dandan, Li, Zhu, Feng, Xiaoxing, Cao, Chuntong, and Ma, Zhan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

This study develops a unified Point Cloud Geometry (PCG) compression method through the processing of multiscale sparse tensor-based voxelized PCG. We call this compression method SparsePCGC. The proposed SparsePCGC is a low complexity solution because it only performs the convolutions on sparsely-distributed Most-Probable Positively-Occupied Voxels (MP-POV). The multiscale representation also allows us to compress scale-wise MP-POVs by exploiting cross-scale and same-scale correlations extensively and flexibly. The overall compression efficiency highly depends on the accuracy of estimated occupancy probability for each MP-POV. Thus, we first design the Sparse Convolution-based Neural Network (SparseCNN) which stacks sparse convolutions and voxel sampling to best characterize and embed spatial correlations. We then develop the SparseCNN-based Occupancy Probability Approximation (SOPA) model to estimate the occupancy probability either in a single-stage manner only using the cross-scale correlation, or in a multi-stage manner by exploiting stage-wise correlation among same-scale neighbors. Besides, we also suggest the SparseCNN based Local Neighborhood Embedding (SLNE) to aggregate local variations as spatial priors in feature attribute to improve the SOPA. Our unified approach not only shows state-of-the-art performance in both lossless and lossy compression modes across a variety of datasets including the dense object PCGs (8iVFB, Owlii, MUVB) and sparse LiDAR PCGs (KITTI, Ford) when compared with standardized MPEG G-PCC and other prevalent learning-based schemes, but also has low complexity which is attractive to practical applications., Comment: 17 pages, 15 figures

Published
2021

5. Silencing of Apoptosis-Inducing factor and poly(ADP-ribose) glycohydrolase reveals novel roles in breast cancer cell death after chemotherapy

Author

Feng Xiaoxing, Zhou Yiran, Proctor Alicia M, Hopkins Mandi M, Liu Mengwei, and Koh David W

Subjects
Poly(ADP-ribose), Apoptosis-inducing factor, Caspase-independent cell death, PARG, Breast cancer, RNA interference, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Cell death induced by poly(ADP-ribose) (PAR) and mediated by apoptosis-inducing factor (AIF) is well-characterized in models of ischemic tissue injury, but their roles in cancer cell death after chemotherapy are less understood. Methods Here we investigated the roles of PAR and AIF by RNA interference (RNAi) in MDA-MB-231 and MCF-7 breast adenocarcinoma cells after chemotherapy. Differences in effects were statistically tested by analysis-of-variance and unpaired student’s t-test. Results Silencing of AIF by RNAi led to decreased MDA-MB-231 and MCF-7 breast cancer cell death after chemotherapy, which demonstrates a critical role for AIF. RNAi silencing of PAR glycohydrolase (PARG), the primary enzyme that catalyzes the hydrolysis of PAR, led to increased PAR levels but decreased cell death. Further investigation into the possible role of PAR in apoptosis revealed decreased caspase-3/7/8/9 activity in PARG-null cells. Interestingly, the pharmacologic inhibition of caspase activity in PARG-silenced breast cancer cells led to increased cell death after chemotherapy, which indicates that an alternative cell death pathway is activated due to elevated PAR levels and caspase inhibition. AIF silencing in these cells led to profound protection from chemotherapy, which demonstrates that the increased cell death after PARG silencing and caspase inhibition was mediated by AIF. Conclusions The results show a role for AIF in breast cancer cell death after chemotherapy, the ability of PAR to regulate caspase activity, and the ability of AIF to substitute as a primary mediator of breast cancer cell death in the absence of caspases. Thus, the induction of cell death by PAR/AIF may represent a novel strategy to optimize the eradication of breast tumors by activating an alternative cell death pathway.

Published
2012
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19. Figure S3 from A Phase I Study of Pegylated Arginine Deiminase (Pegargiminase), Cisplatin, and Pemetrexed in Argininosuccinate Synthetase 1-Deficient Recurrent High-grade Glioma

Author

Hall, Peter E., primary, Lewis, Rachel, primary, Syed, Nelofer, primary, Shaffer, Richard, primary, Evanson, Jane, primary, Ellis, Stephen, primary, Williams, Matthew, primary, Feng, Xiaoxing, primary, Johnston, Amanda, primary, Thomson, Jim A., primary, Harris, Fiona P., primary, Jena, Raj, primary, Matys, Tomasz, primary, Jefferies, Sarah, primary, Smith, Kate, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Crook, Timothy, primary, O'Neill, Kevin, primary, Paraskevopoulos, Dimitris, primary, Khadeir, Ramsay S., primary, Sheaff, Michael, primary, Pacey, Simon, primary, Plowman, Piers N., primary, and Szlosarek, Peter W., primary

Published
2023
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26. A Phase 1 study ofADI‐PEG20(pegargiminase) combined with cisplatin and pemetrexed inASS1‐negativemetastatic uveal melanoma

Author

Chan, Pui Ying, primary, Phillips, Melissa M., additional, Ellis, Stephen, additional, Johnston, Amanda, additional, Feng, Xiaoxing, additional, Arora, Amit, additional, Hay, Gordon, additional, Cohen, Victoria M. L., additional, Sagoo, Mandeep S., additional, Bomalaski, John S., additional, Sheaff, Michael T., additional, and Szlosarek, Peter W., additional

Published
2022
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36. Phase 1, pharmacogenomic, dose‐expansion study of pegargiminase plus pemetrexed and cisplatin in patients with ASS1‐deficient non‐squamous non‐small cell lung cancer

Author

Szlosarek, Peter W., primary, Wimalasingham, Akhila G., additional, Phillips, Melissa M., additional, Hall, Peter E., additional, Chan, Pui Ying, additional, Conibear, John, additional, Lim, Louise, additional, Rashid, Sukaina, additional, Steele, Jeremy, additional, Wells, Paula, additional, Shiu, Chiung‐Fang, additional, Kuo, Chih‐Ling, additional, Feng, Xiaoxing, additional, Johnston, Amanda, additional, Bomalaski, John, additional, Ellis, Stephen, additional, Grantham, Marianne, additional, and Sheaff, Michael, additional

Published
2021
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37. Sparse Tensor-Based Multiscale Representation for Point Cloud Geometry Compression

Author

Wang, Jianqiang, Ding, Dandan, Li, Zhu, Feng, Xiaoxing, Cao, Chuntong, and Ma, Zhan

Abstract

This study develops a unified Point Cloud Geometry (PCG) compression method through the processing of multiscale sparse tensor-based voxelized PCG. We call this compression method SparsePCGC. The proposed SparsePCGC is a low complexity solution because it only performs the convolutions on sparsely-distributed Most-Probable Positively-Occupied Voxels (MP-POV). The multiscale representation also allows us to compress scale-wise MP-POVs by exploiting cross-scale and same-scale correlations extensively and flexibly. The overall compression efficiency highly depends on the accuracy of estimated occupancy probability for each MP-POV. Thus, we first design the Sparse Convolution-based Neural Network (SparseCNN) which stacks sparse convolutions and voxel sampling to best characterize and embed spatial correlations. We then develop the SparseCNN-based Occupancy Probability Approximation (SOPA) model to estimate the occupancy probability either in a single-stage manner only using the cross-scale correlation, or in a multi-stage manner by exploiting stage-wise correlation among same-scale neighbors. Besides, we also suggest the SparseCNN based Local Neighborhood Embedding (SLNE) to aggregate local variations as spatial priors in feature attribute to improve the SOPA. Our unified approach not only shows state-of-the-art performance in both lossless and lossy compression modes across a variety of datasets including the dense object PCGs (8iVFB, Owlii, MUVB) and sparse LiDAR PCGs (KITTI, Ford) when compared with standardized MPEG G-PCC and other prevalent learning-based schemes, but also has low complexity which is attractive to practical applications.

Published
2023
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38. A Phase 1 study of ADI‐PEG20 (pegargiminase) combined with cisplatin and pemetrexed in ASS1‐negative metastatic uveal melanoma.

Author

Chan, Pui Ying, Phillips, Melissa M., Ellis, Stephen, Johnston, Amanda, Feng, Xiaoxing, Arora, Amit, Hay, Gordon, Cohen, Victoria M. L., Sagoo, Mandeep S., Bomalaski, John S., Sheaff, Michael T., and Szlosarek, Peter W.

Subjects
PEMETREXED, CISPLATIN, ARGININE deiminase, THERAPEUTICS, IMMUNE checkpoint proteins, MELANOMA
Abstract

Metastatic uveal melanoma (UM) is a devastating disease with few treatment options. We evaluated the safety, tolerability and preliminary activity of arginine depletion using pegylated arginine deiminase (ADI‐PEG20; pegargiminase) combined with pemetrexed (Pem) and cisplatin (Cis) chemotherapy in a phase 1 dose‐expansion study of patients with argininosuccinate synthetase (ASS1)‐deficient metastatic UM. Eligible patients received up to six cycles of Pem (500 mg/m2) and Cis (75 mg/m2) every 3 weeks plus weekly intramuscular ADI (36 mg/m2), followed by maintenance ADI until progression (NCT02029690). Ten of fourteen ASS1‐deficient patients with UM liver metastases and a median of one line of prior immunotherapy received ADIPemCis. Only one ≥ grade 3 adverse event of febrile neutropenia was reported. Seven patients had stable disease with a median progression‐free survival of 3.0 months (range, 1.3–8.1) and a median overall survival of 11.5 months (range, 3.2–36.9). Despite anti‐ADI‐PEG20 antibody emergence, plasma arginine concentrations remained suppressed by 18 weeks with a reciprocal increase in plasma citrulline. Tumour rebiopsies at progression revealed ASS1 re‐expression as an escape mechanism. ADIPemCis was well tolerated with modest disease stabilisation in metastatic UM. Further investigation of arginine deprivation is indicated in UM including combinations with immune checkpoint blockade and additional anti‐metabolite strategies. [ABSTRACT FROM AUTHOR]

Published
2022
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39. Tai Chi Improves Coronary Heart Disease Risk by Inactivating MAPK/ERK Pathway through Serum miR-126

Author

Feng Xiaoxing, Gu Yan, Zhang Guangwei, Shui Yu, Song Ling, and Wang Shuli

Subjects
MAPK/ERK pathway, medicine.medical_specialty, Heart disease, Article Subject, business.industry, Adipose tissue, 030204 cardiovascular system & hematology, medicine.disease, Pathogenesis, 03 medical and health sciences, Other systems of medicine, 0302 clinical medicine, Endocrinology, Complementary and alternative medicine, Quality of life, Internal medicine, Heart rate, Conventional PCI, medicine, business, Protein kinase A, 030217 neurology & neurosurgery, RZ201-999, Research Article
Abstract

Background. Tai Chi is effective in preventing heart disease (CHD) risk, but the molecular mechanism remains unclear. Mitogen-activated protein kinase (MAPK) signaling plays a critical role in the pathogenesis of CHD and can be activated by miR-126. Tai Chi may exert its protective function through the miR-126-modulated MAPK pathway. Methods. The CHD patients after PCI were randomized into the CG group (CG) (n = 19, normal care) and Tai Chi group (TG) (Tai Chi intervention, n = 17). Epicardial adipose tissue volume (EATV) (one main adverse cardiovascular event of CHD), HR (heart rate), QoL (quality of life) scores, and balance performance were measured in the two groups. The body fat content, abdominal subcutaneous fat, and visceral fat were measured to reflect the improvement of adipose tissue dysfunction. The levels of miR-126 and MAPK-associated molecules were measured in peripheral blood leukocytes. Meanwhile, the effects of miR-126 silence and mimic on MAPK-associated molecules were also explored in cardiac cell H9C2. Results. After the 3-month intervention, Tai Chi reduced EATV and HR and increased QoL scores and balance performance, respectively (P<0.05). The fat percentage, body fat mass, and BMI were also significantly reduced after Tai Chi intervention (P<0.05). The levels of miR-126, MAPK, JNK, and ERK in the TG group were lower than those in the CG group (P<0.05). The miR-126 levels had a strong relationship with the values of EATV, HR, and QoL scores (P<0.05). miR-126 silence or mimic inactivated or activated MAPK-associated molecules in the cardiac cell lines. Conclusions. Tai Chi improved CHD risk by inactivating the MAPK/ERK pathway via serum miR-126.

Published
2020
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41. Phase I study of ADI‐PEG20 plus low‐dose cytarabine for the treatment of acute myeloid leukemia

Author

Tsai, Hui‐Jen, primary, Hsiao, Hui‐Hua, additional, Hsu, Ya‐Ting, additional, Liu, Yi‐Chang, additional, Kao, Hsiao‐Wen, additional, Liu, Ta‐Chih, additional, Cho, Shih‐Feng, additional, Feng, Xiaoxing, additional, Johnston, Amanda, additional, Bomalaski, John S., additional, Kuo, Ming‐Chung, additional, and Chen, Tsai‐Yun, additional

Published
2021
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43. Phase 1b study of pegylated arginine deiminase (ADI-PEG 20) plus Pembrolizumab in advanced solid cancers

Author

Chang, Kwang-Yu, primary, Chiang, Nai-Jung, additional, Wu, Shang-Yin, additional, Yen, Chia-Jui, additional, Chen, Shang-Hung, additional, Yeh, Yu-Min, additional, Li, Chien-Feng, additional, Feng, Xiaoxing, additional, Wu, Katherine, additional, Johnston, Amanda, additional, Bomalaski, John S., additional, Wu, Bor-Wen, additional, Gao, Jianjun, additional, Subudhi, Sumit K., additional, Kaseb, Ahmed O., additional, Blando, Jorge M., additional, Yadav, Shalini S., additional, Szlosarek, Peter W., additional, and Chen, Li-Tzong, additional

Published
2021
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45. Expansion Phase 1 Study of Pegargiminase Plus Pemetrexed and Cisplatin in Patients With Argininosuccinate Synthetase 1–Deficient Mesothelioma: Safety, Efficacy, and Resistance Mechanisms

Author

Szlosarek, Peter W., primary, Phillips, Melissa M., additional, Pavlyk, Iuliia, additional, Steele, Jeremy, additional, Shamash, Jonathan, additional, Spicer, James, additional, Kumar, Sanjeev, additional, Pacey, Simon, additional, Feng, Xiaoxing, additional, Johnston, Amanda, additional, Bomalaski, John, additional, Moir, Graeme, additional, Lau, Kelvin, additional, Ellis, Stephen, additional, and Sheaff, Michael, additional

Published
2020
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48. Phase 1 dose-expansion study of pegylated arginine deiminase, cisplatin, and pemetrexed in patients with argininosuccinate synthetase 1 (ASS1)–deficient non-squamous non-small cell lung cancer.

Author

Wimalasingham, Akhila Ganeshi, primary, Phillips, Melissa Mary, additional, Lim, Louise, additional, Rashid, Sukaina, additional, Hall, Peter Edward, additional, Khadeir, Ramsay, additional, Steele, Jeremy P. C., additional, Conibear, John, additional, Feng, Xiaoxing, additional, Ellis, Stephen, additional, Chan, Pui Ying, additional, Thomson, Jim, additional, Johnston, Amanda L., additional, Bomalaski, John S., additional, Pacey, Simon, additional, Sheaff, Michael, additional, and Szlosarek, Peter Wojciech, additional

Published
2019
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49. A Phase I Study of Pegylated Arginine Deiminase (Pegargiminase), Cisplatin, and Pemetrexed in Argininosuccinate Synthetase 1-Deficient Recurrent High-grade Glioma

Author

Hall, Peter E., primary, Lewis, Rachel, additional, Syed, Nelofer, additional, Shaffer, Richard, additional, Evanson, Jane, additional, Ellis, Stephen, additional, Williams, Matthew, additional, Feng, Xiaoxing, additional, Johnston, Amanda, additional, Thomson, Jim A., additional, Harris, Fiona P., additional, Jena, Raj, additional, Matys, Tomasz, additional, Jefferies, Sarah, additional, Smith, Kate, additional, Wu, Bor-Wen, additional, Bomalaski, John S., additional, Crook, Timothy, additional, O'Neill, Kevin, additional, Paraskevopoulos, Dimitris, additional, Khadeir, Ramsay S., additional, Sheaff, Michael, additional, Pacey, Simon, additional, Plowman, Piers N., additional, and Szlosarek, Peter W., additional

Published
2019
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50. A phase II study of ADI-PEG 20 and FOLFOX6 in patients (pts) with advanced hepatocellular carcinoma (HCC).

Author

Harding, James J., primary, Qin, Shukui, additional, Yang, Tsai-Sheng, additional, Yen, Chia-Jui, additional, Chao, Yee, additional, Wang, Tsang-En, additional, Do, Richard K. G., additional, El Dika, Imane H., additional, Uhlitskykh, Khrystyna, additional, Millang, Brittanie M, additional, Feng, Xiaoxing, additional, Swe, Wint, additional, Johnston, Amanda, additional, Bomalaski, John S., additional, Li, Chien-Feng, additional, O'Reilly, Eileen Mary, additional, Ho, Ching-Liang, additional, Chen, Yen-Yang, additional, and Abou-Alfa, Ghassan K., additional

Published
2019
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