16,671 results on '"Cai J"'
Search Results
352. Faecal carriage of optrA-positive enterococci in asymptomatic healthy humans in Hangzhou, China
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Cai, J., Schwarz, S., Chi, D., Wang, Z., Zhang, R., and Wang, Y.
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- 2019
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353. Investigation on Restraint Effect of Geogrids on Shallow Layer Failure of Expansive Soil Slope
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Wang, M. Y., Cai, J. T., Xu, H., Tang, Y. H., Li, Guangxin, editor, Chen, Yunmin, editor, and Tang, Xiaowu, editor
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- 2009
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354. CHILDHOOD-ONSET TAKAYASU ARTERITIS IN COMPARISON WITH ADULT-ONSET TAKAYASU ARTERITIS
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Fan, L., Zhang, H.M., and Cai, J.
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- 2018
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355. Status and progress of treatment methods for root caries in the last decade: a literature review
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Cai, J, Palamara, JEA, Manton, DJ, and Burrow, MF
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- 2018
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356. A Newly Defined Pyroptosis-Related Gene Signature for the Prognosis of Bladder Cancer
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Chen W, Zhang W, Zhou T, Cai J, Yu Z, and Wu Z
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Medicine (General) ,R5-920 ,pyroptosis ,bladder cancer ,prognosis ,tcga ,immune - Abstract
Weikang Chen,1,* Wenhao Zhang,2,3,* Tao Zhou,1,* Jian Cai,1 Zhixian Yu,1 Zhigang Wu1 1Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People’s Republic of China; 2The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 325000, People’s Republic of China; 3Department of Urology, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 325000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhixian Yu; Zhigang WuDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, No. 2, Fuxue Road Lucheng District, Wenzhou, Zhejiang, 325000, People’s Republic of ChinaEmail yuzx515@163.com; andrologywzg@wmu.edu.cnBackground: Bladder cancer (BC), as the most common urinary system tumor type and the main cause of tumor-related death, has an unsatisfactory prognosis. In recent years, related literature has proposed that cell pyroptosis is an inflammatory form of programmed cell death. However, in BC, the relationship between the expression of pyroptosis-related genes and the prognosis has not been elucidated.Methods: We got the RNA sequencing data from TCGA and GEO datasets. Fifty-two pyroptosis-related genes were extracted for further explore. Then, we compared the gene expression levels between the normal bladder and BC tissues. After that, we develop and validate a pyroptosis-related gene prognostic model and made following functional enrichment analysis and single-sample gene set enrichment analysis of the differentially expressed genes between the high- and low-risk groups.Results: Twenty-nine differentially expressed genes (DEGs) were found between normal and tumor tissues. Based on the median score calculated by the risk score formula from 8 pyroptosis-related genes, 414 patients were equally divided into low- and high-risk subgroups. The survival probability of BC patients in the high-risk group was significantly lower than that in the low-risk group (P < 0.001). Through multivariate analysis, our risk score is an independent factor predicting OS in BC patients. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis show that high-risk populations are rich in immune-related genes and have a decreased immune status. All the above results have been externally verified from GEO cohort.Conclusion: Pyroptosis-related genes are closely related to tumor immunity and are a potential prognostic tool for predicting BCs.Keywords: pyroptosis, bladder cancer, immune, prognosis, TCGA
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- 2021
357. Newly-Diagnosed Diabetes and Sustained Hyperglycemia are Associated with Poorer Outcomes in COVID-19 Inpatients Without Pre-Existing Diabetes
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Lin L, Chen Z, Ding T, Liu H, Zhou F, Huang X, Zhang X, Liu W, Zhang BH, Yuan Y, Zhang P, Zhang XJ, She ZG, Cai J, Chen W, and Li H
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covid-19 ,RC581-951 ,blood glucose ,Specialties of internal medicine ,newly diagnosed diabetes ,hyperglycemia ,prognosis - Abstract
Lijin Lin,1– 4,* Ze Chen,4,5,* Ting Ding,1,2,* Hui Liu,4,6,* Feng Zhou,4,7 Xuewei Huang,3,4 Xingyuan Zhang,4,8 Weifang Liu,4,8 Bing-Hong Zhang,9 Yufeng Yuan,10 Peng Zhang,4,8 Xiao-Jing Zhang,4,8 Zhi-Gang She,3,4 Jingjing Cai,4,11 Wenping Chen,1,2 Hongliang Li2– 4,7 1Department of Endocrinology, Huanggang Central Hospital, Huanggang, People’s Republic of China; 2Huanggang Institute of Translational Medicine, Huanggang, People’s Republic of China; 3Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, People’s Republic of China; 4Institute of Model Animal of Wuhan University, Wuhan, People’s Republic of China; 5Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China; 6Neonatology of Gastroenterology, Tongren Hospital of Wuhan University & Wuhan Third Hospital, Wuhan, People’s Republic of China; 7Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China; 8Basic Medical School of Wuhan University, Wuhan, People’s Republic of China; 9Neonatology Department, Renmin Hospital of Wuhan University, Wuhan, People’s Republic of China; 10Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China; 11Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hongliang Li; Wenping Chen Email lihl@whu.edu.cn; chenwenping@hgyy.org.cnPurpose: To analyze the impact of hyperglycemia on the clinical outcome of COVID-19 in patients with newly diagnosed diabetes (NDD).Patients and Methods: We performed a retrospective study of 3114 cases of COVID-19 without pre-existing diabetes, 351 of which had NDD, in Hubei Province, China. The Cox regression model was used to calculate the risk of adverse clinical outcomes comparing the NDD vs non-NDD group before and after propensity score-matched (PSM) analysis. Patients with NDD were further divided into a sustained hyperglycemia group, a fluctuating group, and a remitted group based on their blood glucose levels during hospitalization as well as into hypoglycemic agent users and nonusers.Results: Compared to the non-NDD individuals, individuals with NDD had a significantly increased risk of all-cause mortality (adjusted HR after PSM, 2.65; 95% CI, 1.49– 4.72; P = 0.001) and secondary outcomes involving organ damage during the 28-day follow-up period. Subgroup analyses indicated that among individuals with NDD, the individuals with remitted hyperglycemia had the lowest 28-day mortality, whereas those with sustained hyperglycemia had the highest (IRR 24.27; 95% CI, 3.21– 183.36; P < 0.001). Moreover, individuals treated with hypoglycemic agents had significantly lower all-cause mortality than those not treated with hypoglycemic agents (IRR 0.08; 95% CI, 0.01– 0.56; P < 0.001).Conclusion: Our study reinforces the clinical message that NDD is strongly associated with poor outcomes in COVID-19 patients. Furthermore, resolved hyperglycemia in the later phase of the disease and the use of hypoglycemic agents were associated with improved prognosis in patients with NDD.Keywords: COVID-19, newly diagnosed diabetes, hyperglycemia, prognosis, blood glucose
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- 2021
358. Bioactivation and Protein Modification Reactions of Unsaturated Aldehydes
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Cai, J., Hill, B.G., Bhatnagar, A., Pierce, W.M., Jr, Prough, R.A., and Elfarra, Adnan, editor
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- 2008
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359. The Uniform Tykhonov-Phillips Regularization (α-weighted S-homBLE) and its Application in GPS Rapid Static Positioning
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Cai, J., Grafarend, E.W., Hu, C., Wang, J., Sansò, Fernando, editor, Xu, Peiliang, editor, Liu, Jingnan, editor, and Dermanis, Athanasios, editor
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- 2008
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360. The Statistical Analysis of the Eigenspace Components of the Strain Rate Tensor Derived from FinnRef GPS Measurements (1997–2004) in Fennoscandia
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Cai, J., Grafarend, E.W., Koivula, H., Poutanen, M., Sansò, Fernando, editor, Xu, Peiliang, editor, Liu, Jingnan, editor, and Dermanis, Athanasios, editor
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- 2008
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361. Micro-benchmarks for Cluster OpenMP Implementations: Memory Consistency Costs
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Wong, H. J., Cai, J., Rendell, A. P., Strazdins, P., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Eigenmann, Rudolf, editor, and de Supinski, Bronis R., editor
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- 2008
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362. Inhibition of MALT1 Alleviates Spinal Ischemia/Reperfusion Injury-Induced Neuroinflammation by Modulating Glial Endoplasmic Reticulum Stress in Rats
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Zhang S, Yan Y, Wang Y, Sun Z, Han C, Qian X, Ren X, Feng Y, Cai J, and Xia C
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spinal cord ischemia/reperfusion injury ,blood-spinal cord barrier ,malt1 ,astrocytes ,endoplasmic reticulum stress ,Pathology ,microglia ,RB1-214 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Shutian Zhang,1,2,* Yufeng Yan,3,* Yongze Wang,1,2 Zhaodong Sun,1,2 Chengzhi Han,1,2 Xinyi Qian,1,2 Xiaorong Ren,1,2 Yi Feng,4 Jian Cai,5 Chunmei Xia1 1Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, People’s Republic of China; 2Department of Clinical Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, People’s Republic of China; 3Experimental Teaching Center of Basic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, People’s Republic of China; 4Department of Integrative Medicine and Neurobiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, People’s Republic of China; 5Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200240, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chunmei XiaDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, People’s Republic of ChinaTel +86 21 54237612-805Email cmxia@fudan.edu.cnJian CaiDepartment of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200240, People’s Republic of ChinaEmail feele@sina.comPurpose: Glial activation and the disorders of cytokine secretion induced by endoplasmic reticulum stress (ERS) are crucial pathogenic processes in establishing ischemia/reperfusion (I/R) injury of the brain and spinal cord. This present study aimed to investigate the effects of mucous-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) on spinal cord ischemia/reperfusion (SCI/R) injury via regulating glial ERS.Methods: SCI/R was induced by thoracic aorta occlusion-reperfusion in rats. The MALT1-specific inhibitor MI-2 or human recombinant MALT1 protein (hrMALT1) was administrated for three consecutive days after the surgery. Immunofluorescent staining was used to detect the localization of MALT1 and ERS profiles in activated astrocyte and microglia of spinal cord. The ultrastructure of endoplasmic reticulum (ER) was examined by transmission electron microscopy. Blood-spinal cord barrier (BSCB) disruption and noninflammatory status were assessed. The neuron loss and demyelination in the spinal cord were monitored, and the hindlimb motor function was evaluated in SCI/R rats.Results: Intraperitoneally postoperative MI-2 treatment down-regulated phos-NF-κB (p65) and Bip (ERS marker protein) expression in the spinal cord after SCI/R in rats. Intraperitoneal injection MI-2 attenuated the swelling/dilation of ER of the glia in SCI/R rats. Furthermore, MI-2 attenuated I/R-induced Evans blue (EB) leakage and microglia M1 polarization in spinal cord, implying a role for MALT1 in the BSCB destruction and neuroinflammation after SCI/R in rats. Furthermore, intrathecal injection of hrMALT1 aggravated the fragmentation of neuron, loss of neurofibrils and demyelination caused by I/R, while 4-PBA, an ERS inhibitor, co-treatment with hrMALT1 reversed these effects in SCI/R rats. hrMALT1 administration aggravated the motor deficit index (MDI) scoring, while 4-PBA co-treatment improved SCI/R-induced motor deficits in rats.Conclusion: Inhibition of MALT1 alleviates SCI/R injury-induced neuroinflammation by modulating glial endoplasmic reticulum stress in rats.Keywords: MALT1, blood-spinal cord barrier, astrocytes, microglia, endoplasmic reticulum stress, spinal cord ischemia/reperfusion injury
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- 2021
363. Erector Spinae Plane Block for Perioperative Pain Control and Short-term Outcomes in Lumbar Laminoplasty: A Randomized Clinical Trial
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Jin Y, Zhao S, Cai J, Blessing M, Zhao X, Tan H, and Li J
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Medicine (General) ,erector spinae plane block ,R5-920 ,perioperative pain ,opioid ,laminoplasty ,short-term outcome ,spine - Abstract
Yanwu Jin,1 Shanshan Zhao,1 Jiahui Cai,2 Marcelle Blessing,3 Xin Zhao,1 Haizhu Tan,2 Jinlei Li3 1Department of Anesthesiology, Second Hospital of Shandong University, Shandong University, Jinan, Shandong, People’s Republic of China; 2Department of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, People’s Republic of China; 3Department of Anesthesiology, Yale University School of Medicine, New Haven, CT, USACorrespondence: Jinlei Li; Haizhu TanDepartment of Anesthesiology, Yale University School of Medicine, 333 Cedar Street, TMP 3, New Haven, CT, 06520-8051, USATel +1 203 785-2802Fax +1 203 785-6664Email jinlei.li@yale.edu; linnanqia@126.comBackground: Spine surgery causes severe pain and can be associated with significant opioid utilization; however, the evidence for opioid-sparing analgesic techniques such as erector spinae plane (ESP) block from controlled studies is limited. We aimed to investigate the analgesic effects of ESP block in lumbar laminoplasty.Methods: In this prospective, double-blind, controlled single-center trial, 62 consecutive elective lumbar laminoplasty patients were randomized into either a control group (Group G, N=32) or a treatment group (Group E, N=30). Group G received general anesthesia and multimodal analgesia, similar to group E, while Group E received additional bilateral ESP block after induction of general anesthesia. The primary outcome was postoperative pain scores for the first 48 h after surgery, and the secondary outcomes analyzed included intraoperative anesthetic usage, perioperative analgesic consumption, return of bowel function and satisfaction for acute pain management indicated by overall benefit of analgesia score (OBAS).Results: Significant differences in pain scores over time were found between the two groups (P=0.010), with Group E patients having significantly lower pain scores than Group G during the first six hours (P=0.000). The opioid consumption in Group G was significantly higher than in Group E both intraoperatively (P=0.000) and postoperatively (P=0.0005). Group E patients had lower intraoperative sevoflurane requirement, improved satisfaction with pain management, and earlier return of bowel function than Group G patients.Conclusion: ESP block is effective in reducing postoperative pain scores and lowering opioid utilization (both intraoperatively and postoperatively), resulting in improved patient satisfaction for pain management in lumbar laminoplasty.Keywords: erector spinae plane block, laminoplasty, spine, perioperative pain, opioid, short-term outcome
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- 2021
364. Cotransplantation of Bone Marrow Mononuclear Cells and Umbilical Cord Mesenchymal Stem Cells in Avascular Necrosis of the Femoral Head
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Cai, J., Wu, Z., Huang, L., Chen, J., Wu, C., Wang, S., Deng, Z., Wu, W., Luo, F., and Tan, J.
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- 2014
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365. Multi-ancestry genome-wide analysis identifies shared genetic effects and common genetic variants for self-reported sleep duration.
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Scammell, B H, Tchio, C, Song, Y, Nishiyama, T, Louie, T L, Dashti, H S, Nakatochi, M, Zee, P C, Daghlas, I, Momozawa, Y, Cai, J, Ollila, H M, Redline, S, Wakai, K, Sofer, T, Suzuki, S, Lane, J M, and Saxena, R
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- 2023
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366. Microplastic pollution and characteristics in the surface waters of the middle and lower reaches of the Han River along Hubei Province, China.
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Chen, C., Deng, J., Zhang, Q., and Cai, J.
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Microplastic pollution in freshwaters has received attention globally. The Han River is the largest tributary of the Yangtze River, and limited information is available on microplastic pollution in this river. The occurrence and characteristics of microplastics in the surface waters of the middle and lower reaches of the Han River along Hubei Province were investigated in this study. Microplastic abundance ranged from 2315 ± 603 to 8406 ± 2055 n/m
3 and generally showed an increasing trend along the flow direction. Small-sized (< 500 μm) fibers were the most dominant microplastics. Polyethylene terephthalate (PET), polypropylene (PP), polyethylene (PE) and polyamide (PA) were the main polymer microplastic types detected via Raman and FTIR spectroscopic identification. SEM analysis revealed degradation textures on some microplastics, which illustrated that they had experienced various levels of mechanical erosion and chemical weathering, but some fibers consisted of primary microplastics. EDS analysis revealed that the heavy metals Zn, Ni, and Cu were absorbed on the microplastics. According to analyses of microplastic morphological and microscopic characteristics, clothes laundering, plastic wastes from human activities, and agricultural production may be the microplastic sources in the Han River water. We suggest treating microplastics from domestic sewage and managing plastic wastes around the Han River basin to reduce microplastic pollution from these sources. [ABSTRACT FROM AUTHOR]- Published
- 2023
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367. Complement 3 and metabolic syndrome induced by clozapine: a cross-sectional study and retrospective cohort analysis
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Zhang, C, Zhang, Y, Cai, J, Chen, M, and Song, L
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- 2017
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368. Enabling technologies for ultra-high-capacity transmission over transoceanic distance
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Australian Conference on Optical Fibre Technology (39th : 2014 : Melbourne), Cai, J-X, Zhang, H, Batshon, HG, Mazurczyk, M, Sinkin, OV, Sun, Y, Foursa, DG, and Pilipetskii, AN
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- 2014
369. Effect of Al2O3on the Mechanical Properties of (B4C + Al2O3)/Al Neutron Absorbing Materials
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Cai, J. X., Shi, B. M., Li, N., Liu, Y., Zhang, Z. G., Zan, Y. N., Wang, Q. Z., Xiao, B. L., and Ma, Z. Y.
- Abstract
B4C/Al composites are widely utilized as neutron absorbing materials for the storage and transportation of spent nuclear fuel. In order to improve the high-temperature mechanical properties of B4C/Al composites, in-situ nano-Al2O3was introduced utilizing oxide on Al powder surface. In this study, the Al2O3content was adjusted by utilizing spheroid Al powder with varying diameters, thereby investigating the impact of Al2O3content on the tensile properties of (B4C + Al2O3)/Al composites. It was found that the pinning effect of Al2O3on the grain boundaries could hinder the recovery of dislocations and lead to dislocation accumulation at high temperature. As the result, with the increase in Al2O3content and the decrease in grain size, the high-temperature strength of the composites increased significantly. The finest Al powder used in this investigation had a diameter of 1.4 μm, whereas the resultant composite exhibited a maximum strength of 251 MPa at room temperature and 133 MPa at 350 °C, surpassing that of traditional B4C/Al composites.
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- 2024
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370. Threshold Prediction of Spurious Oscillations in Klystrons Due to Backstreaming Electrons From Collector
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Su, Z. X., Cai, J. C., Yin, P. C., Li, W., Zhang, X. K., Zhang, C., Zeng, L., Xu, J., Yue, L. N., Yin, H. R., Xu, Y., Zhao, G. Q., Xiang, W. W., and Wei, Y. Y.
- Abstract
In klystron amplifiers, spurious oscillations caused by the backstreaming electrons from collector may lead to unacceptable instabilities in experiments. To facilitate the fast and accurate analysis of such types of self-oscillations, rather than performing time-consuming particle-in-cell (PIC) simulations, the small signal theory to predict threshold conditions of spurious oscillations in klystrons has been further developed and implemented into the klystron computer code KlyC. If spurious oscillation occurs, the frequency and Q of the oscillation mode in a small signal regime can also be predicted. The effectiveness of the proposed threshold prediction method has been demonstrated through benchmarking against PIC codes, showing great agreement with result discrepancies at the several percentage level, while numerical computation time for small signal models is significantly (at least three orders of magnitude) faster than executed in the PIC simulations.
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- 2024
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371. Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial
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Staplin, N, Haynes, R, Judge, PK, Wanner, C, Green, JB, Emberson, J, Preiss, D, Mayne, KJ, Ng, SYA, Sammons, E, Zhu, D, Hill, M, Stevens, W, Wallendszus, K, Brenner, S, Cheung, AK, Liu, ZH, Li, J, Hooi, LS, Liu, WJ, Kadowaki, T, Nangaku, M, Levin, A, Cherney, D, Maggioni, AP, Pontremoli, R, Deo, R, Goto, S, Rossello, X, Tuttle, KR, Steubl, D, Petrini, M, Seidi, S, Landray, MJ, Baigent, C, Herrington, WG, Abat, S, Abd Rahman, R, Abdul Cader, R, Abdul Hafidz, MI, Abdul Wahab, MZ, Abdullah, NK, Abdul-Samad, T, Abe, M, Abraham, N, Acheampong, S, Achiri, P, Acosta, JA, Adeleke, A, Adell, V, Adewuyi-Dalton, R, Adnan, N, Africano, A, Agharazii, M, Aguilar, F, Aguilera, A, Ahmad, M, Ahmad, MK, Ahmad, NA, Ahmad, NH, Ahmad, NI, Ahmad Miswan, N, Ahmad Rosdi, H, Ahmed, I, Ahmed, S, Ahmed, S, Aiello, J, Aitken, A, AitSadi, R, Aker, S, Akimoto, S, Akinfolarin, A, Akram, S, Alberici, F, Albert, C, Aldrich, L, Alegata, M, Alexander, L, Alfaress, S, Alhadj Ali, M, Ali, A, Ali, A, Alicic, R, Aliu, A, Almaraz, R, Almasarwah, R, Almeida, J, Aloisi, A, Al-Rabadi, L, Alscher, D, Alvarez, P, Al-Zeer, B, Amat, M, Ambrose, C, Ammar, H, An, Y, Andriaccio, L, Ansu, K, Apostolidi, A, Arai, N, Araki, H, Araki, S, Arbi, A, Arechiga, O, Armstrong, S, Arnold, T, Aronoff, S, Arriaga, W, Arroyo, J, Arteaga, D, Asahara, S, Asai, A, Asai, N, Asano, S, Asawa, M, Asmee, MF, Aucella, F, Augustin, M, Avery, A, Awad, A, Awang, IY, Awazawa, M, Axler, A, Ayub, W, Azhari, Z, Baccaro, R, Badin, C, Bagwell, B, Bahlmann-Kroll, E, Bahtar, AZ, Baigent, C, Bains, D, Bajaj, H, Baker, R, Baldini, E, Banas, B, Banerjee, D, Banno, S, Bansal, S, Barberi, S, Barnes, S, Barnini, C, Barot, C, Barrett, K, Barrios, R, Bartolomei Mecatti, B, Barton, I, Barton, J, Basily, W, Bavanandan, S, Baxter, A, Becker, L, Beddhu, S, Beige, J, Beigh, S, Bell, S, Benck, U, Beneat, A, Bennett, A, Bennett, D, Benyon, S, Berdeprado, J, Bergler, T, Bergner, A, Berry, M, Bevilacqua, M, Bhairoo, J, Bhandari, S, Bhandary, N, Bhatt, A, Bhattarai, M, Bhavsar, M, Bian, W, Bianchini, F, Bianco, S, Bilous, R, Bilton, J, Bilucaglia, D, Bird, C, Birudaraju, D, Biscoveanu, M, Blake, C, Bleakley, N, Bocchicchia, K, Bodine, S, Bodington, R, Boedecker, S, Bolduc, M, Bolton, S, Bond, C, Boreky, F, Boren, K, Bouchi, R, Bough, L, Bovan, D, Bowler, C, Bowman, L, Brar, N, Braun, C, Breach, A, Breitenfeldt, M, Brenner, S, Brettschneider, B, Brewer, A, Brewer, G, Brindle, V, Brioni, E, Brown, C, Brown, H, Brown, L, Brown, R, Brown, S, Browne, D, Bruce, K, Brueckmann, M, Brunskill, N, Bryant, M, Brzoska, M, Bu, Y, Buckman, C, Budoff, M, Bullen, M, Burke, A, Burnette, S, Burston, C, Busch, M, Bushnell, J, Butler, S, Büttner, C, Byrne, C, Caamano, A, Cadorna, J, Cafiero, C, Cagle, M, Cai, J, Calabrese, K, Calvi, C, Camilleri, B, Camp, S, Campbell, D, Campbell, R, Cao, H, Capelli, I, Caple, M, Caplin, B, Cardone, A, Carle, J, Carnall, V, Caroppo, M, Carr, S, Carraro, G, Carson, M, Casares, P, Castillo, C, Castro, C, Caudill, B, Cejka, V, Ceseri, M, Cham, L, Chamberlain, A, Chambers, J, Chan, CBT, Chan, JYM, Chan, YC, Chang, E, Chang, E, Chant, T, Chavagnon, T, Chellamuthu, P, Chen, F, Chen, J, Chen, P, Chen, TM, Chen, Y, Chen, Y, Cheng, C, Cheng, H, Cheng, MC, Cherney, D, Cheung, AK, Ching, CH, Chitalia, N, Choksi, R, Chukwu, C, Chung, K, Cianciolo, G, Cipressa, L, Clark, S, Clarke, H, Clarke, R, Clarke, S, Cleveland, B, Cole, E, Coles, H, Condurache, L, Connor, A, Convery, K, Cooper, A, Cooper, N, Cooper, Z, Cooperman, L, Cosgrove, L, Coutts, P, Cowley, A, Craik, R, Cui, G, Cummins, T, Dahl, N, Dai, H, Dajani, L, D'Amelio, A, Damian, E, Damianik, K, Danel, L, Daniels, C, Daniels, T, Darbeau, S, Darius, H, Dasgupta, T, Davies, J, Davies, L, Davis, A, Davis, J, Davis, L, Dayanandan, R, Dayi, S, Dayrell, R, De Nicola, L, Debnath, S, Deeb, W, Degenhardt, S, DeGoursey, K, Delaney, M, Deo, R, DeRaad, R, Derebail, V, Dev, D, Devaux, M, Dhall, P, Dhillon, G, Dienes, J, Dobre, M, Doctolero, E, Dodds, V, Domingo, D, Donaldson, D, Donaldson, P, Donhauser, C, Donley, V, Dorestin, S, Dorey, S, Doulton, T, Draganova, D, Draxlbauer, K, Driver, F, Du, H, Dube, F, Duck, T, Dugal, T, Dugas, J, Dukka, H, Dumann, H, Durham, W, Dursch, M, Dykas, R, Easow, R, Eckrich, E, Eden, G, Edmerson, E, Edwards, H, Ee, LW, Eguchi, J, Ehrl, Y, Eichstadt, K, Eid, W, Eilerman, B, Ejima, Y, Eldon, H, Ellam, T, Elliott, L, Ellison, R, Emberson, J, Epp, R, Er, A, Espino-Obrero, M, Estcourt, S, Estienne, L, Evans, G, Evans, J, Evans, S, Fabbri, G, Fajardo-Moser, M, Falcone, C, Fani, F, Faria-Shayler, P, Farnia, F, Farrugia, D, Fechter, M, Fellowes, D, Feng, F, Fernandez, J, Ferraro, P, Field, A, Fikry, S, Finch, J, Finn, H, Fioretto, P, Fish, R, Fleischer, A, Fleming-Brown, D, Fletcher, L, Flora, R, Foellinger, C, Foligno, N, Forest, S, Forghani, Z, Forsyth, K, Fottrell-Gould, D, Fox, P, Frankel, A, Fraser, D, Frazier, R, Frederick, K, Freking, N, French, H, Froment, A, Fuchs, B, Fuessl, L, Fujii, H, Fujimoto, A, Fujita, A, Fujita, K, 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- Abstract
Sodium–glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial.
- Published
- 2024
- Full Text
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372. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial
- Author
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Judge, PK, Staplin, N, Mayne, KJ, Wanner, C, Green, JB, Hauske, SJ, Emberson, JR, Preiss, D, Ng, SYA, Roddick, AJ, Sammons, E, Zhu, D, Hill, M, Stevens, W, Wallendszus, K, Brenner, S, Cheung, AK, Liu, ZH, Li, J, Hooi, LS, Liu, WJ, Kadowaki, T, Nangaku, M, Levin, A, Cherney, D, Maggioni, AP, Pontremoli, R, Deo, R, Goto, S, Rossello, X, Tuttle, KR, Steubl, D, Massey, D, Landray, MJ, Baigent, C, Haynes, R, Herrington, WG, Abat, S, Abd Rahman, R, Abdul Cader, R, Abdul Hafidz, MI, Abdul Wahab, MZ, Abdullah, NK, Abdul-Samad, T, Abe, M, Abraham, N, Acheampong, S, Achiri, P, Acosta, JA, Adeleke, A, Adell, V, Adewuyi-Dalton, R, Adnan, N, Africano, A, Agharazii, M, Aguilar, F, Aguilera, A, Ahmad, M, Ahmad, MK, Ahmad, NA, Ahmad, NH, Ahmad, NI, Ahmad Miswan, N, Ahmad Rosdi, H, Ahmed, I, Ahmed, S, Ahmed, S, Aiello, J, Aitken, A, AitSadi, R, Aker, S, Akimoto, S, Akinfolarin, A, Akram, S, Alberici, F, Albert, C, Aldrich, L, Alegata, M, Alexander, L, Alfaress, S, Alhadj Ali, M, Ali, A, Ali, A, Alicic, R, Aliu, A, Almaraz, R, Almasarwah, R, Almeida, J, Aloisi, A, Al-Rabadi, L, Alscher, D, Alvarez, P, Al-Zeer, B, Amat, M, Ambrose, C, Ammar, H, An, Y, Andriaccio, L, Ansu, K, Apostolidi, A, Arai, N, Araki, H, Araki, S, Arbi, A, Arechiga, O, Armstrong, S, Arnold, T, Aronoff, S, Arriaga, W, Arroyo, J, Arteaga, D, Asahara, S, Asai, A, Asai, N, Asano, S, Asawa, M, Asmee, MF, Aucella, F, Augustin, M, Avery, A, Awad, A, Awang, IY, Awazawa, M, Axler, A, Ayub, W, Azhari, Z, Baccaro, R, Badin, C, Bagwell, B, Bahlmann-Kroll, E, Bahtar, AZ, Baigent, C, Bains, D, Bajaj, H, Baker, R, Baldini, E, Banas, B, Banerjee, D, Banno, S, Bansal, S, Barberi, S, Barnes, S, Barnini, C, Barot, C, Barrett, K, Barrios, R, Bartolomei Mecatti, B, Barton, I, Barton, J, Basily, W, Bavanandan, S, Baxter, A, Becker, L, Beddhu, S, Beige, J, Beigh, S, Bell, S, Benck, U, Beneat, A, Bennett, A, Bennett, D, Benyon, S, Berdeprado, J, Bergler, T, Bergner, A, Berry, M, Bevilacqua, M, Bhairoo, J, Bhandari, S, Bhandary, N, Bhatt, A, Bhattarai, M, Bhavsar, M, Bian, W, Bianchini, F, Bianco, S, Bilous, R, Bilton, J, Bilucaglia, D, Bird, C, Birudaraju, D, Biscoveanu, M, Blake, C, Bleakley, N, Bocchicchia, K, Bodine, S, Bodington, R, Boedecker, S, Bolduc, M, Bolton, S, Bond, C, Boreky, F, Boren, K, Bouchi, R, Bough, L, Bovan, D, Bowler, C, Bowman, L, Brar, N, Braun, C, Breach, A, Breitenfeldt, M, Brenner, S, Brettschneider, B, Brewer, A, Brewer, G, Brindle, V, Brioni, E, Brown, C, Brown, H, Brown, L, Brown, R, Brown, S, Browne, D, Bruce, K, Brueckmann, M, Brunskill, N, Bryant, M, Brzoska, M, Bu, Y, Buckman, C, Budoff, M, Bullen, M, Burke, A, Burnette, S, Burston, C, Busch, M, Bushnell, J, Butler, S, Büttner, C, Byrne, C, Caamano, A, Cadorna, J, Cafiero, C, Cagle, M, Cai, J, Calabrese, K, Calvi, C, Camilleri, B, Camp, S, Campbell, D, Campbell, R, Cao, H, Capelli, I, Caple, M, Caplin, B, Cardone, A, Carle, J, Carnall, V, Caroppo, M, Carr, S, Carraro, G, Carson, M, Casares, P, Castillo, C, Castro, C, Caudill, B, Cejka, V, Ceseri, M, Cham, L, Chamberlain, A, Chambers, J, Chan, CBT, Chan, JYM, Chan, YC, Chang, E, Chang, E, Chant, T, Chavagnon, T, Chellamuthu, P, Chen, F, Chen, J, Chen, P, Chen, TM, Chen, Y, Chen, Y, Cheng, C, Cheng, H, Cheng, MC, Cherney, D, Cheung, AK, Ching, CH, Chitalia, N, Choksi, R, Chukwu, C, Chung, K, Cianciolo, G, Cipressa, L, Clark, S, Clarke, H, Clarke, R, Clarke, S, Cleveland, B, Cole, E, Coles, H, Condurache, L, Connor, A, Convery, K, Cooper, A, Cooper, N, Cooper, Z, Cooperman, L, Cosgrove, L, Coutts, P, Cowley, A, Craik, R, Cui, G, Cummins, T, Dahl, N, Dai, H, Dajani, L, D'Amelio, A, Damian, E, Damianik, K, Danel, L, Daniels, C, Daniels, T, Darbeau, S, Darius, H, Dasgupta, T, Davies, J, Davies, L, Davis, A, Davis, J, Davis, L, Dayanandan, R, Dayi, S, Dayrell, R, De Nicola, L, Debnath, S, Deeb, W, Degenhardt, S, DeGoursey, K, Delaney, M, Deo, R, DeRaad, R, Derebail, V, Dev, D, Devaux, M, Dhall, P, Dhillon, G, Dienes, J, Dobre, M, Doctolero, E, Dodds, V, Domingo, D, Donaldson, D, Donaldson, P, Donhauser, C, Donley, V, Dorestin, S, Dorey, S, Doulton, T, Draganova, D, Draxlbauer, K, Driver, F, Du, H, Dube, F, Duck, T, Dugal, T, Dugas, J, Dukka, H, Dumann, H, Durham, W, Dursch, M, Dykas, R, Easow, R, Eckrich, E, Eden, G, Edmerson, E, Edwards, H, Ee, LW, Eguchi, J, Ehrl, Y, Eichstadt, K, Eid, W, Eilerman, B, Ejima, Y, Eldon, H, Ellam, T, Elliott, L, Ellison, R, Emberson, J, Epp, R, Er, A, Espino-Obrero, M, Estcourt, S, Estienne, L, Evans, G, Evans, J, Evans, S, Fabbri, G, Fajardo-Moser, M, Falcone, C, Fani, F, Faria-Shayler, P, Farnia, F, Farrugia, D, Fechter, M, Fellowes, D, Feng, F, Fernandez, J, Ferraro, P, Field, A, Fikry, S, Finch, J, Finn, H, Fioretto, P, Fish, R, Fleischer, A, Fleming-Brown, D, Fletcher, L, Flora, R, Foellinger, C, Foligno, N, Forest, S, Forghani, Z, Forsyth, K, Fottrell-Gould, D, Fox, P, Frankel, A, Fraser, D, Frazier, R, Frederick, K, Freking, N, French, H, Froment, A, Fuchs, B, Fuessl, L, Fujii, H, Fujimoto, A, Fujita, A, Fujita, K, Fujita, Y, Fukagawa, M, Fukao, Y, Fukasawa, A, Fuller, T, Funayama, T, Fung, E, Furukawa, M, Furukawa, Y, Furusho, M, Gabel, S, Gaidu, J, Gaiser, S, Gallo, K, Galloway, C, Gambaro, G, Gan, CC, Gangemi, C, Gao, M, Garcia, K, Garcia, M, Garofalo, C, Garrity, M, Garza, A, Gasko, S, Gavrila, M, Gebeyehu, B, Geddes, A, Gentile, G, George, A, George, J, Gesualdo, L, Ghalli, F, Ghanem, A, Ghate, T, Ghavampour, S, Ghazi, A, Gherman, A, Giebeln-Hudnell, U, Gill, B, Gillham, S, Girakossyan, I, Girndt, M, Giuffrida, A, Glenwright, M, Glider, T, Gloria, R, Glowski, D, Goh, BL, Goh, CB, Gohda, T, Goldenberg, R, Goldfaden, R, Goldsmith, C, Golson, B, Gonce, V, Gong, Q, Goodenough, B, Goodwin, N, Goonasekera, M, Gordon, A, Gordon, J, Gore, A, Goto, H, Goto, S, Goto, S, Gowen, D, Grace, A, Graham, J, Grandaliano, G, Gray, M, Green, JB, Greene, T, Greenwood, G, Grewal, B, Grifa, R, Griffin, D, Griffin, S, Grimmer, P, Grobovaite, E, Grotjahn, S, Guerini, A, Guest, C, Gunda, S, Guo, B, Guo, Q, Haack, S, Haase, M, Haaser, K, Habuki, K, Hadley, A, Hagan, S, Hagge, S, Haller, H, Ham, S, Hamal, S, Hamamoto, Y, Hamano, N, Hamm, M, Hanburry, A, Haneda, M, Hanf, C, Hanif, W, Hansen, J, Hanson, L, Hantel, S, Haraguchi, T, Harding, E, Harding, T, Hardy, C, Hartner, C, Harun, Z, Harvill, L, Hasan, A, Hase, H, Hasegawa, F, Hasegawa, T, Hashimoto, A, Hashimoto, C, Hashimoto, M, Hashimoto, S, Haskett, S, Hauske, SJ, Hawfield, A, Hayami, T, Hayashi, M, Hayashi, S, Haynes, R, Hazara, A, Healy, C, Hecktman, J, Heine, G, Henderson, H, Henschel, R, Hepditch, A, Herfurth, K, Hernandez, G, Hernandez Pena, A, Hernandez-Cassis, C, Herrington, WG, Herzog, C, Hewins, S, Hewitt, D, Hichkad, L, Higashi, S, Higuchi, C, Hill, C, Hill, L, Hill, M, Himeno, T, Hing, A, Hirakawa, Y, Hirata, K, Hirota, Y, Hisatake, T, Hitchcock, S, Hodakowski, A, Hodge, W, Hogan, R, Hohenstatt, U, Hohenstein, B, Hooi, L, Hope, S, Hopley, M, Horikawa, S, Hosein, D, Hosooka, T, Hou, L, Hou, W, Howie, L, Howson, A, Hozak, M, Htet, Z, Hu, X, Hu, Y, Huang, J, Huda, N, Hudig, L, Hudson, A, Hugo, C, Hull, R, Hume, L, Hundei, W, Hunt, N, Hunter, A, Hurley, S, Hurst, A, Hutchinson, C, Hyo, T, Ibrahim, FH, Ibrahim, S, Ihana, N, Ikeda, T, Imai, A, Imamine, R, Inamori, A, Inazawa, H, Ingell, J, Inomata, K, Inukai, Y, Ioka, M, Irtiza-Ali, A, Isakova, T, Isari, W, Iselt, M, Ishiguro, A, Ishihara, K, Ishikawa, T, Ishimoto, T, Ishizuka, K, Ismail, R, Itano, S, Ito, H, Ito, K, Ito, M, Ito, Y, Iwagaitsu, S, Iwaita, Y, Iwakura, T, Iwamoto, M, Iwasa, M, Iwasaki, H, Iwasaki, S, Izumi, K, Izumi, K, Izumi, T, Jaafar, SM, Jackson, C, Jackson, Y, Jafari, G, Jahangiriesmaili, M, Jain, N, Jansson, K, Jasim, H, Jeffers, L, Jenkins, A, Jesky, M, Jesus-Silva, J, Jeyarajah, D, Jiang, Y, Jiao, X, Jimenez, G, Jin, B, Jin, Q, Jochims, J, Johns, B, Johnson, C, Johnson, T, Jolly, S, Jones, L, Jones, L, Jones, S, Jones, T, Jones, V, Joseph, M, Joshi, S, Judge, P, Junejo, N, Junus, S, Kachele, M, Kadowaki, T, Kadoya, H, Kaga, H, Kai, H, Kajio, H, Kaluza-Schilling, W, Kamaruzaman, L, Kamarzarian, A, Kamimura, Y, Kamiya, H, Kamundi, C, Kan, T, Kanaguchi, Y, Kanazawa, A, Kanda, E, Kanegae, S, Kaneko, K, Kaneko, K, Kang, HY, Kano, T, Karim, M, Karounos, D, Karsan, W, Kasagi, R, Kashihara, N, Katagiri, H, Katanosaka, A, Katayama, A, Katayama, M, Katiman, E, Kato, K, Kato, M, Kato, N, Kato, S, Kato, T, Kato, Y, Katsuda, Y, Katsuno, T, Kaufeld, J, Kavak, Y, Kawai, I, Kawai, M, Kawai, M, Kawase, A, Kawashima, S, Kazory, A, Kearney, J, Keith, B, Kellett, J, Kelley, S, Kershaw, M, Ketteler, M, Khai, Q, Khairullah, Q, Khandwala, H, Khoo, KKL, Khwaja, A, Kidokoro, K, Kielstein, J, Kihara, M, Kimber, C, Kimura, S, Kinashi, H, Kingston, H, Kinomura, M, Kinsella-Perks, E, Kitagawa, M, Kitajima, M, Kitamura, S, Kiyosue, A, Kiyota, M, Klauser, F, Klausmann, G, Kmietschak, W, Knapp, K, Knight, C, Knoppe, A, Knott, C, Kobayashi, M, Kobayashi, R, Kobayashi, T, Koch, M, Kodama, S, Kodani, N, Kogure, E, Koizumi, M, Kojima, H, Kojo, T, Kolhe, N, Komaba, H, Komiya, T, Komori, H, Kon, SP, Kondo, M, Kondo, M, Kong, W, Konishi, M, Kono, K, Koshino, M, Kosugi, T, Kothapalli, B, Kozlowski, T, Kraemer, B, Kraemer-Guth, A, Krappe, J, Kraus, D, Kriatselis, C, Krieger, C, Krish, P, Kruger, B, Ku Md Razi, KR, Kuan, Y, Kubota, S, Kuhn, S, Kumar, P, Kume, S, Kummer, I, Kumuji, R, Küpper, A, Kuramae, T, Kurian, L, Kuribayashi, C, Kurien, R, Kuroda, E, Kurose, T, Kutschat, A, Kuwabara, N, Kuwata, H, La Manna, G, Lacey, M, Lafferty, K, LaFleur, P, Lai, V, Laity, E, Lambert, A, Landray, MJ, Langlois, M, Latif, F, Latore, E, Laundy, E, Laurienti, D, Lawson, A, Lay, M, Leal, I, Leal, I, Lee, AK, Lee, J, Lee, KQ, Lee, R, Lee, SA, Lee, YY, Lee-Barkey, Y, Leonard, N, Leoncini, G, Leong, CM, Lerario, S, Leslie, A, Levin, A, Lewington, A, Li, J, Li, N, Li, X, Li, Y, Liberti, L, Liberti, ME, Liew, A, Liew, YF, Lilavivat, U, Lim, SK, Lim, YS, Limon, E, Lin, H, Lioudaki, E, Liu, H, Liu, J, Liu, L, Liu, Q, Liu, WJ, Liu, X, Liu, Z, Loader, D, Lochhead, H, Loh, CL, Lorimer, A, Loudermilk, L, Loutan, J, Low, CK, Low, CL, Low, YM, Lozon, Z, Lu, Y, Lucci, D, Ludwig, U, Luker, N, Lund, D, Lustig, R, Lyle, S, Macdonald, C, MacDougall, I, Machicado, R, MacLean, D, Macleod, P, Madera, A, Madore, F, Maeda, K, Maegawa, H, Maeno, S, Mafham, M, Magee, J, Maggioni, AP, Mah, DY, Mahabadi, V, Maiguma, M, Makita, Y, Makos, G, Manco, L, Mangiacapra, R, Manley, J, Mann, P, Mano, S, Marcotte, G, Maris, J, Mark, P, Markau, S, Markovic, M, Marshall, C, Martin, M, Martinez, C, Martinez, S, Martins, G, Maruyama, K, Maruyama, S, Marx, K, Maselli, A, Masengu, A, Maskill, A, Masumoto, S, Masutani, K, Matsumoto, M, Matsunaga, T, Matsuoka, N, Matsushita, M, Matthews, M, Matthias, S, Matvienko, E, Maurer, M, Maxwell, P, Mayne, KJ, Mazlan, N, Mazlan, SA, Mbuyisa, A, McCafferty, K, McCarroll, F, McCarthy, T, McClary-Wright, C, McCray, K, McDermott, P, McDonald, C, McDougall, R, McHaffie, E, McIntosh, K, McKinley, T, McLaughlin, S, McLean, N, McNeil, L, Measor, A, Meek, J, Mehta, A, Mehta, R, Melandri, M, Mené, P, Meng, T, Menne, J, Merritt, K, Merscher, S, Meshykhi, C, Messa, P, Messinger, L, Miftari, N, Miller, R, Miller, Y, Miller-Hodges, E, Minatoguchi, M, Miners, M, Minutolo, R, Mita, T, Miura, Y, Miyaji, M, Miyamoto, S, Miyatsuka, T, Miyazaki, M, Miyazawa, I, Mizumachi, R, Mizuno, M, Moffat, S, Mohamad Nor, FS, Mohamad Zaini, SN, Mohamed Affandi, FA, Mohandas, C, Mohd, R, Mohd Fauzi, NA, Mohd Sharif, NH, Mohd Yusoff, Y, Moist, L, Moncada, A, Montasser, M, Moon, A, Moran, C, Morgan, N, Moriarty, J, Morig, G, Morinaga, H, Morino, K, Morisaki, T, Morishita, Y, Morlok, S, Morris, A, Morris, F, Mostafa, S, Mostefai, Y, Motegi, M, Motherwell, N, Motta, D, Mottl, A, Moys, R, Mozaffari, S, Muir, J, Mulhern, J, Mulligan, S, Munakata, Y, Murakami, C, Murakoshi, M, Murawska, A, Murphy, K, Murphy, L, Murray, S, Murtagh, H, Musa, MA, Mushahar, L, Mustafa, R, Mustafar, R, Muto, M, Nadar, E, Nagano, R, Nagasawa, T, Nagashima, E, Nagasu, H, Nagelberg, S, Nair, H, Nakagawa, Y, Nakahara, M, Nakamura, J, Nakamura, R, Nakamura, T, Nakaoka, M, Nakashima, E, Nakata, J, Nakata, M, Nakatani, S, Nakatsuka, A, Nakayama, Y, Nakhoul, G, Nangaku, M, Naverrete, G, Navivala, A, Nazeer, I, Negrea, L, Nethaji, C, Newman, E, Ng, SYA, Ng, TJ, Ngu, LLS, Nimbkar, T, Nishi, H, Nishi, M, Nishi, S, Nishida, Y, Nishiyama, A, Niu, J, Niu, P, Nobili, G, Nohara, N, Nojima, I, Nolan, J, Nosseir, H, Nozawa, M, Nunn, M, Nunokawa, S, Oda, M, Oe, M, Oe, Y, Ogane, K, Ogawa, W, Ogihara, T, Oguchi, G, Ohsugi, M, Oishi, K, Okada, Y, Okajyo, J, Okamoto, S, Okamura, K, Olufuwa, O, Oluyombo, R, Omata, A, Omori, Y, Ong, LM, Ong, YC, Onyema, J, Oomatia, A, Oommen, A, Oremus, R, Orimo, Y, Ortalda, V, Osaki, Y, Osawa, Y, Osmond Foster, J, O'Sullivan, A, Otani, T, Othman, N, Otomo, S, O'Toole, J, Owen, L, Ozawa, T, Padiyar, A, Page, N, Pajak, S, Paliege, A, Pandey, A, Pandey, R, Pariani, H, Park, J, Parrigon, M, Passauer, J, Patecki, M, Patel, M, Patel, R, Patel, T, Patel, Z, Paul, R, Paul, R, Paulsen, L, Pavone, L, Peixoto, A, Peji, J, Peng, BC, Peng, K, Pennino, L, Pereira, E, Perez, E, Pergola, P, Pesce, F, Pessolano, G, Petchey, W, Petr, EJ, Pfab, T, Phelan, P, Phillips, R, Phillips, T, Phipps, M, Piccinni, G, Pickett, T, Pickworth, S, Piemontese, M, Pinto, D, Piper, J, Plummer-Morgan, J, Poehler, D, Polese, L, Poma, V, Pontremoli, R, Postal, A, Pötz, C, Power, A, Pradhan, N, Pradhan, R, Preiss, D, Preiss, E, Preston, K, Prib, N, Price, L, Provenzano, C, Pugay, C, Pulido, R, Putz, F, Qiao, Y, Quartagno, R, Quashie-Akponeware, M, Rabara, R, Rabasa-Lhoret, R, Radhakrishnan, D, Radley, M, Raff, R, Raguwaran, S, Rahbari-Oskoui, F, Rahman, M, Rahmat, K, Ramadoss, S, Ramanaidu, S, Ramasamy, S, Ramli, R, Ramli, S, Ramsey, T, Rankin, A, Rashidi, A, Raymond, L, Razali, WAFA, Read, K, Reiner, H, Reisler, A, Reith, C, Renner, J, Rettenmaier, B, Richmond, L, Rijos, D, Rivera, R, Rivers, V, Robinson, H, Rocco, M, Rodriguez-Bachiller, I, Rodriquez, R, Roesch, C, Roesch, J, Rogers, J, Rohnstock, M, Rolfsmeier, S, Roman, M, Romo, A, Rosati, A, Rosenberg, S, Ross, T, Rossello, X, Roura, M, Roussel, M, Rovner, S, Roy, S, Rucker, S, Rump, L, Ruocco, M, Ruse, S, Russo, F, Russo, M, Ryder, M, Sabarai, A, Saccà, C, Sachson, R, Sadler, E, Safiee, NS, Sahani, M, Saillant, A, Saini, J, Saito, C, Saito, S, Sakaguchi, K, Sakai, M, Salim, H, Salviani, C, Sammons, E, Sampson, A, Samson, F, Sandercock, P, Sanguila, S, Santorelli, G, Santoro, D, Sarabu, N, Saram, T, Sardell, R, Sasajima, H, Sasaki, T, Satko, S, Sato, A, Sato, D, Sato, H, Sato, H, Sato, J, Sato, T, Sato, Y, Satoh, M, Sawada, K, Schanz, M, Scheidemantel, F, Schemmelmann, M, Schettler, E, Schettler, V, Schlieper, GR, Schmidt, C, Schmidt, G, Schmidt, U, Schmidt-Gurtler, H, Schmude, M, Schneider, A, Schneider, I, Schneider-Danwitz, C, Schomig, M, Schramm, T, Schreiber, A, Schricker, S, Schroppel, B, Schulte-Kemna, L, Schulz, E, Schumacher, B, Schuster, A, Schwab, A, Scolari, F, Scott, A, Seeger, W, Seeger, W, Segal, M, Seifert, L, Seifert, M, Sekiya, M, Sellars, R, Seman, MR, Shah, S, Shah, S, Shainberg, L, Shanmuganathan, M, Shao, F, Sharma, K, Sharpe, C, Sheikh-Ali, M, Sheldon, J, Shenton, C, Shepherd, A, Shepperd, M, Sheridan, R, Sheriff, Z, Shibata, Y, Shigehara, T, Shikata, K, Shimamura, K, Shimano, H, Shimizu, Y, Shimoda, H, Shin, K, Shivashankar, G, Shojima, N, Silva, R, Sim, CSB, Simmons, K, Sinha, S, Sitter, T, Sivanandam, S, Skipper, M, Sloan, K, Sloan, L, Smith, R, Smyth, J, Sobande, T, Sobata, M, Somalanka, S, Song, X, Sonntag, F, Sood, B, Sor, SY, Soufer, J, Sparks, H, Spatoliatore, G, Spinola, T, Squyres, S, Srivastava, A, Stanfield, J, Staplin, N, Staylor, K, Steele, A, Steen, O, Steffl, D, Stegbauer, J, Stellbrink, C, Stellbrink, E, Stevens, W, Stevenson, A, Stewart-Ray, V, Stickley, J, Stoffler, D, Stratmann, B, Streitenberger, S, Strutz, F, Stubbs, J, Stumpf, J, Suazo, N, Suchinda, P, Suckling, R, Sudin, A, Sugamori, K, Sugawara, H, Sugawara, K, Sugimoto, D, Sugiyama, H, Sugiyama, H, Sugiyama, T, Sullivan, M, Sumi, M, Suresh, N, Sutton, D, Suzuki, H, Suzuki, R, Suzuki, Y, Suzuki, Y, Suzuki, Y, Swanson, E, Swift, P, Syed, S, Szerlip, H, Taal, M, Taddeo, M, Tailor, C, Tajima, K, Takagi, M, Takahashi, K, Takahashi, K, Takahashi, M, Takahashi, T, Takahira, E, Takai, T, Takaoka, M, Takeoka, J, Takesada, A, Takezawa, M, Talbot, M, Taliercio, J, Talsania, T, Tamori, Y, Tamura, R, Tamura, Y, Tan, CHH, Tan, EZZ, Tanabe, A, Tanabe, K, Tanaka, A, Tanaka, A, Tanaka, N, Tang, S, Tang, Z, Tanigaki, K, Tarlac, M, Tatsuzawa, A, Tay, JF, Tay, LL, Taylor, J, Taylor, K, Taylor, K, Te, A, Tenbusch, L, Teng, KS, Terakawa, A, Terry, J, Tham, ZD, Tholl, S, Thomas, G, Thong, KM, Tietjen, D, Timadjer, A, Tindall, H, Tipper, S, Tobin, K, Toda, N, Tokuyama, A, Tolibas, M, Tomita, A, Tomita, T, Tomlinson, J, Tonks, L, Topf, J, Topping, S, Torp, A, Torres, A, Totaro, F, Toth, P, Toyonaga, Y, Tripodi, F, Trivedi, K, Tropman, E, Tschope, D, Tse, J, Tsuji, K, Tsunekawa, S, Tsunoda, R, Tucky, B, Tufail, S, Tuffaha, A, Turan, E, Turner, H, Turner, J, Turner, M, Tuttle, KR, Tye, YL, Tyler, A, Tyler, J, Uchi, H, Uchida, H, Uchida, T, Uchida, T, Udagawa, T, Ueda, S, Ueda, Y, Ueki, K, Ugni, S, Ugwu, E, Umeno, R, Unekawa, C, Uozumi, K, Urquia, K, Valleteau, A, Valletta, C, van Erp, R, Vanhoy, C, Varad, V, Varma, R, Varughese, A, Vasquez, P, Vasseur, A, Veelken, R, Velagapudi, C, Verdel, K, Vettoretti, S, Vezzoli, G, Vielhauer, V, Viera, R, Vilar, E, Villaruel, S, Vinall, L, Vinathan, J, Visnjic, M, Voigt, E, von-Eynatten, M, Vourvou, M, Wada, J, Wada, J, Wada, T, Wada, Y, Wakayama, K, Wakita, Y, Wallendszus, K, Walters, T, Wan Mohamad, WH, Wang, L, Wang, W, Wang, X, Wang, X, Wang, Y, Wanner, C, Wanninayake, S, Watada, H, Watanabe, K, Watanabe, K, Watanabe, M, Waterfall, H, Watkins, D, Watson, S, Weaving, L, Weber, B, Webley, Y, Webster, A, Webster, M, Weetman, M, Wei, W, Weihprecht, H, Weiland, L, Weinmann-Menke, J, Weinreich, T, Wendt, R, Weng, Y, Whalen, M, Whalley, G, Wheatley, R, Wheeler, A, Wheeler, J, Whelton, P, White, K, Whitmore, B, Whittaker, S, Wiebel, J, Wiley, J, Wilkinson, L, Willett, M, Williams, A, Williams, E, Williams, K, Williams, T, Wilson, A, Wilson, P, Wincott, L, Wines, E, Winkelmann, B, Winkler, M, Winter-Goodwin, B, Witczak, J, Wittes, J, Wittmann, M, Wolf, G, Wolf, L, Wolfling, R, Wong, C, Wong, E, Wong, HS, Wong, LW, Wong, YH, Wonnacott, A, Wood, A, Wood, L, Woodhouse, H, Wooding, N, Woodman, A, Wren, K, Wu, J, Wu, P, Xia, S, Xiao, H, Xiao, X, Xie, Y, Xu, C, Xu, Y, Xue, H, Yahaya, H, Yalamanchili, H, Yamada, A, Yamada, N, Yamagata, K, Yamaguchi, M, Yamaji, Y, Yamamoto, A, Yamamoto, S, Yamamoto, S, Yamamoto, T, Yamanaka, A, Yamano, T, Yamanouchi, Y, Yamasaki, N, Yamasaki, Y, Yamasaki, Y, Yamashita, C, Yamauchi, T, Yan, Q, Yanagisawa, E, Yang, F, Yang, L, Yano, S, Yao, S, Yao, Y, Yarlagadda, S, Yasuda, Y, Yiu, V, Yokoyama, T, Yoshida, S, Yoshidome, E, Yoshikawa, H, Young, A, Young, T, Yousif, V, Yu, H, Yu, Y, Yuasa, K, Yusof, N, Zalunardo, N, Zander, B, Zani, R, Zappulo, F, Zayed, M, Zemann, B, Zettergren, P, Zhang, H, Zhang, L, Zhang, L, Zhang, N, Zhang, X, Zhao, J, Zhao, L, Zhao, S, Zhao, Z, Zhong, H, Zhou, N, Zhou, S, Zhu, D, Zhu, L, Zhu, S, Zietz, M, Zippo, M, Zirino, F, and Zulkipli, FH
- Abstract
The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population.
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- 2024
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373. Quantum state tomography via non-convex Riemannian gradient descent
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Hsu, M-C, Kuo, E-J, Yu, W-H, Cai, J-F, and Hsieh, M-H
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- 2022
374. Deep underground laboratory measurement of $^{13}$C($\alpha$,$n$)$^{16}$O in the Gamow windows of the $s$- and $i$-processes
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Gao, B., Jiao, T. Y., Li, Y. T., Chen, H., Lin, W. P., An, Z., Ru, L. H., Zhang, Z. C., Tang, X. D., Wang, X. Y., Zhang, N. T., Fang, X., Xie, D. H., Fan, Y. H., Ma, L., Zhang, X., Bai, F., Wang, P., Fan, Y. X., Liu, G., Huang, H. X., Wu, Q., Zhu, Y. B., Chai, J. L., Li, J. Q., Sun, L. T., Wang, S., Cai, J. W., Li, Y. Z., Su, J., Zhang, H., Li, Z. H., Li, Y. J., Li, E. T., Chen, C., Shen, Y. P., Lian, G., Guo, B., Li, X. Y., Zhang, L. Y., He, J. J., Sheng, Y. D., Chen, Y. J., Wang, L. H., Zhang, L., Cao, F. Q., Nan, W., Nan, W. K., Li, G. X., Song, N., Cui, B. Q., Chen, L. H., Ma, R. G., Yan, S. Q., Liao, J. H., Wang, Y. B., Zeng, S., Nan, D., Fan, Q. W., Qi, N. C., Sun, W. L., Guo, X. Y., Zhang, P., Chen, Y. H., Zhou, Y., Zhou, J. F., He, J. R., Shang, C. S., Li, M. C., Kubono, S., Liu, W. P., deBoer, R. J., Wiescher, M., and Pignatari, M.
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Nuclear Experiment - Abstract
The $^{13}$C($\alpha$,$n$)$^{16}$O reaction is the main neutron source for the slow-neutron-capture (s-) process in Asymptotic Giant Branch stars and for the intermediate (i-) process. Direct measurements at astrophysical energies in above-ground laboratories are hindered by the extremely small cross sections and vast cosmic-ray induced background. We performed the first consistent direct measurement in the range of $E_{\rm c.m.}=$0.24 MeV to 1.9 MeV using the accelerators at the China Jinping Underground Laboratory (CJPL) and Sichuan University. Our measurement covers almost the entire i-process Gamow window in which the large uncertainty of the previous experiments has been reduced from 60\% down to 15\%, eliminates the large systematic uncertainty in the extrapolation arising from the inconsistency of existing data sets, and provides a more reliable reaction rate for the studies of the s- and i-processes along with the first direct determination of the alpha strength for the near-threshold state.
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- 2022
375. $^{197}$Au($\gamma,\,xn;\,x\,=\,1\thicksim7$) Reaction Measurements using Laser-Driven Ultra-Bright Ultra-Fast Bremsstrahlung $\gamma$-Ray
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Wu, D., Zhang, J. Y., Lan, H. Y., Liu, J. X., Lv, J. F., Lu, H. G., Wu, X. Z., Zhang, H., Geng, Y. X., Zhao, Y. Y., Xu, J. Y., Cai, J., Yu, J. Q., Lin, C., Ma, W. J., Wang, H. R., Liu, F. L., He, C. Y., Guo, B., Zhang, G. Q., Wang, N. Y., Ma, Y. G., and Yan, X. Q.
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Nuclear Experiment - Abstract
We present a new method for the measurements of photonuclear reaction flux-weighted average cross sections and isomeric yield ratios using laser-driven ultra-bright ultra-fast bremsstrahlung $\gamma$-ray, especially for photonuclear reactions with short half-life times. A 200 TW laser was used to generate stable near-monoenergetic electron beams via laser wakefield acceleration. The flux-weighted average cross sections and isomeric ratios of $^{197}$Au($\gamma,\,xn;\,x\,=\,1\thicksim7$) reactions were analyzed through activation measurements. The results showed good agreements with previous works and were compared with TALYS 1.9 calculations. The $^{197}$Au($\gamma$,\,7n)$^{190}$Au reaction cross sections were first achieved. This method offered a unique way of gaining insight into photonuclear reaction researches with short half-life times, which extremely lack experimental data.
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- 2022
376. Unified theoretical framework for mixing state of black carbon
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Wang, J., Cai, R., Liu, C., Jiang, J., Nie, W., Moteki, N., Zaveri, R., Huang, X., Ma, N., Chen, G., Wang, Z., Jin, Y., Cai, J., Zhang, Y., Chi, X., Holanda, B., Xing, J., Liu, T., Qi, X., Wang, Q., Pöhlker, C., Su, H., Cheng, Y., Wang, S., Hao, J., Andreae, M., and Ding, A.
- Abstract
Black carbon (BC) plays an important role in the climate system due to its strongwarming effect, yet the magnitude of this effect is highly uncertain due to the complex mixingstate of aerosols. Here we build a unified theoretical framework to describe BC’s mixing states,linking dynamic processes to BC coating thickness distribution, and show its self-similarity for sites in diverse environments. The size distribution of BC-containing particles is found to followan exponential pattern and is independent of BC core size. A mixing state module is establishedbased on this finding and successfully applied in global and regional models, which increases theaccuracy of aerosol climate effect estimations. Our theoretical framework can bridge the gap be-tween observation and model simulation in both mixing state description and light absorption quantification
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- 2022
377. Waist circumference and incidence of hypertension in Chinese adults: Observations from the Kailuan Study
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Sun, H., Zheng, M., Wu, S., Chen, M., Cai, J., and Yang, X.
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- 2016
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378. Establishment of TBS reference plots and correlation between TBS and BMD in healthy mainland Chinese women
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Cheng, P., Qi, H. M., Di, W. J., Liu, J., Yu, J., Lv, S., Shen, Y.L., Zha, J. M., Cai, J. M., Lai, B., and Ding, G. X.
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- 2016
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379. Bearing Fault Diagnosis Method Based on Local Mean Decomposition and Wigner Higher Moment Spectrum
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Cai, J-h. and Chen, Q-y.
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- 2016
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380. A crucial role of SUMOylation in modulating Sirt6 deacetylation of H3 at lysine 56 and its tumor suppressive activity
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Cai, J, Zuo, Y, Wang, T, Cao, Y, Cai, R, Chen, F-L, Cheng, J, and Mu, J
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- 2016
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381. DieCasting Simulation and Process Optimization of An A356 Aluminum Alloy Polishing Plate
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Hu, M. Y., Cai, J. J., Sun, W. L., Jiang, H. Y., Sang, Y. Y., and Liu, J. T.
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- 2016
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382. Nestin regulates proliferation and invasion of gastrointestinal stromal tumor cells by altering mitochondrial dynamics
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Wang, J, Cai, J, Huang, Y, Ke, Q, Wu, B, Wang, S, Han, X, Wang, T, Wang, Y, Li, W, Lao, C, Song, W, and Xiang, A P
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- 2016
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383. Prediction of percent body fat measurements in Americans 8 years and older
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Stevens, J, Ou, F-S, Cai, J, Heymsfield, S B, and Truesdale, K P
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- 2016
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384. Performance Investigation of Stirling-Type Nonmagnetic and Nonmetallic Pulse Tube Cryocoolers for High-Tc SQUID Operation
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Dang, H. Z., Ju, Y. L., Liang, J. T., Cai, J. H., Dai, W., Zhou, Y., and Ross, Ronald G., Jr., editor
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- 2005
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385. Experimental Flow Characteristics Study of a High Frequency Pulse Tube Regenerator
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Wang, X. L., Zhao, M. G., Cai, J. H., Liang, J. T., Dai, W., and Ross, Ronald G., Jr., editor
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- 2005
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386. Clinical Features, Strain Distribution, Antifungal Resistance and Prognosis of Patients with Non-albicans Candidemia: A Retrospective Observational Study
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Liu F, Zhong L, Zhou F, Zheng C, Zhang K, Cai J, Zhou H, Tang K, Dong Z, Cui W, and Zhang G
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clinical features ,risk factor ,non-albicans candidemia ,Infectious and parasitic diseases ,RC109-216 ,cross-resistance - Abstract
Fengqi Liu,1,2,* Li Zhong,1,2,* Feifei Zhou,3,* Cheng Zheng,1,4 Kai Zhang,1 Jiachang Cai,5 Hongwei Zhou,5 Kankai Tang,2 Zhaohui Dong,2 Wei Cui,1 Gensheng Zhang1 1Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, People’s Republic of China; 2Department of Critical Care Medicine, First Affiliated Hospital, Huzhou Teachers College, The First People’s Hospital of Huzhou, Huzhou, 313000, Zhejiang, People’s Republic of China; 3Department of Critical Care Medicine, Ningbo Medical Center, Li Huili Hospital, Ningbo, Zhejiang, 315040, People’s Republic of China; 4Department of Critical Care Medicine, Taizhou Municipal Hospital, Taizhou, Zhejiang, 318000, People’s Republic of China; 5Department of Clinical Microbiology Laboratory, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, People’s Republic of China*These authors contributed equally to this workCorrespondence: Gensheng Zhang; Wei CuiDepartment of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, cc88 Jiefang Road, Hangzhou, 310009, People’s Republic of ChinaTel +86-571-8778-3636; +86-571-8778-3551Fax +86-571- 87022776Email genshengzhang@zju.edu.cn; zricu@zju.edu.cnPurpose: Candida albicans (C. albicans) candidemia has been well reported in previous studies, while research on non-albicans Candida (NAC) bloodstream infections remains poorly explored. Therefore, the present study aimed to investigate the clinical characteristics and outcomes of patients with NAC candidemia.Patients and Methods: We recruited inpatients with candidemia from January 2013 to June 2020 in a tertiary hospital for this retrospective observational study.Results: A total of 301 patients with candidemia were recruited in the current study, including 161 (53.5%) patients with NAC candidemia. The main pathogens in NAC candidemia were Candida tropicalis (C. tropicalis) (23.9%), Candida parapsilosis (15.6%) and Candida glabrata (10.3%). Patients with NAC candidemia had more medical admissions (P=0.034), a higher percentage of hematological malignancies (P=0.007), a higher frequency of antifungal exposure (P=0.012), and more indwelling peripherally inserted central catheters (P=0.002) than those with C. albicans candidemia. In a multivariable analysis, prior antifungal exposure was independently related to NAC candidemia (adjusted odds ratio [aOR], 0.312; 95% confidence interval [CI], 0.113– 0.859). Additionally, NAC was obviously resistant to azoles, especially C. tropicalis had a high cross-resistance to azoles. However, no significant differences were noted in the mortality rates at 14 days, 28 days and 60 days between these two groups.Conclusion: NAC is dominant in candidemia, and prior antifungal exposure is an independent risk factor. Of note, although the outcomes of NAC and C. albicans candidemia are similar, drug resistance to specific azoles as well as cross-resistance frequently occurs in patients with NAC candidemia, and this drug resistance deserves attention in clinical practice and further in-depth investigation.Keywords: non-albicans candidemia, clinical features, risk factor, cross-resistance
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- 2021
387. Effects of Oil Tea on Obesity and Dyslipidemia: A Cross-Sectional Study in China
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Cai J, Liu S, Li Y, Liu Q, Xu M, Mo C, Mai T, Xu X, Tang X, Chen Q, Nong C, Lu H, He H, Tang J, Zhang J, Wei C, Tan D, Qin J, and Zhang Z
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RC581-951 ,blood lipid ,Specialties of internal medicine ,hdl-c ,abdominal obesity - Abstract
Jiansheng Cai,1,2,* Shuzhen Liu,1,* You Li,3,* Qiumei Liu,1 Min Xu,1 Chunbao Mo,3 Tingyu Mai,3 Xia Xu,1 Xu Tang,1 Quanhui Chen,1 Chuntao Nong,1 Huaxiang Lu,1,3 Haoyu He,1,4 Jiexia Tang,5 Junling Zhang,1 Chunmei Wei,1 Dechan Tan,3 Jian Qin,1 Zhiyong Zhang1,3 1Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi Province, People’s Republic of China; 2Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, People’s Republic of China; 3Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin, People’s Republic of China; 4Quality Management Department, the Affiliated Hospital of Stomatology, Guangxi Medical University, Nanning, People’s Republic of China; 5Guangxi Center for Disease Prevention and Control, Nanning, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jian Qin; Zhiyong ZhangDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road No. 22, Nanning, 530021, Guangxi Province, People’s Republic of ChinaTel +86-771-5358124Fax +86-771-5358124Email qinjian@gxmu.edu.cn; rpazz@163.comBackground: Animal experiments have found that oil tea reduces body weight and improves blood lipid levels. However, the effect of oil tea on human health has not been confirmed yet. This study aims to explore the relationship between oil tea consumption and obesity and dyslipidemia.Methods: In a cross-sectional population study in Guangxi, China, a semi-quantitative questionnaire was used to investigate the oil tea consumed and food consumption frequency in adults aged 30 years and over. Anthropometric variables and serum biochemical indicators were measured. A total of 2001 adults were divided into five groups based on their non-consumption status and quartile of consumption (groups non-drink oil tea, Q1–Q4).Results: The risk of abdominal obesity tended to decrease significantly with increasing consumption of oil tea (P for trend< 0.05) in the overall participants (Q3 group, OR = 0.545, 95% CI = 0.336– 0.884; Q4 group, OR = 0.520, 95% CI = 0.311– 0.871) and in women (Q2 group, OR = 0.502, 95% CI = 0.274– 0.920; Q3 group, OR = 0.397, 95% CI = 0.213– 0.740; Q4 group, OR = 0.421, 95% CI = 0.228– 0.780). Oil tea consumption Q1, Q2, Q3 and Q4 group significantly reduced the risk of abnormal HDL-cholesterol (P < 0.05). Oil tea consumption Q2 group significantly increased the risk of abnormal LDL-cholesterol (OR = 2.600, 95% CI = 1.033– 6.546) in women. Oil tea consumption Q1 (OR = 0.081, 95% CI =0.008– 0.864) and Q3 (OR = 0.057, 95% CI = 0.004– 0.913) groups significantly reduced the risk of abnormal HDL-cholesterol in women.Conclusion: Oil tea consumption may be associated with a low risk of abdominal obesity. High-dose oil tea consumption may be associated with a low risk of abnormal HDL-cholesterol. Prospective studies with large sample sizes would be required to further investigate this association.Keywords: abdominal obesity, blood lipid, HDL-C
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- 2021
388. Neurite Extension and Orientation of Spiral Ganglion Neurons Can Be Directed by Superparamagnetic Iron Oxide Nanoparticles in a Magnetic Field
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Hu Y, Li D, Wei H, Zhou S, Chen W, Yan X, Cai J, Chen X, Chen B, Liao M, Chai R, and Tang M
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Medicine (General) ,physical cues ,neurites orientation ,R5-920 ,cochlear implants ,migration ,hearing loss - Abstract
Yangnan Hu,1,* Dan Li,2,* Hao Wei,3,* Shan Zhou,1 Wei Chen,1 Xiaoqian Yan,1 Jaiying Cai,1 Xiaoyan Chen,1 Bo Chen,4 Menghui Liao,1 Renjie Chai,1,5 Mingliang Tang1,5,6 1State Key Laboratory of Bioelectronics, School of Life Sciences and Technology, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, Nanjing, 210096, People’s Republic of China; 2School of Biology, Food and Environment, Hefei University, Hefei, 230601, People’s Republic of China; 3Department of Otorhinolaryngology Head and Neck Surgery, Drum Tower Clinical Medical College, Nanjing Medical University, Nanjing, 210000, People’s Republic of China; 4Materials Science and Devices Institute, Suzhou University of Science and Technology, Suzhou, 215009, People’s Republic of China; 5Co-innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, People’s Republic of China; 6Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Medical College, Soochow University, Suzhou, 215000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Renjie Chai; Mingliang Tang Email renjiec@seu.edu.cn; mltang@suda.edu.cnIntroduction: Neuroregeneration is a major challenge in neuroscience for treating degenerative diseases and for repairing injured nerves. Numerous studies have shown the importance of physical stimulation for neuronal growth and development, and here we report an approach for the physical guidance of neuron orientation and neurite growth using superparamagnetic iron oxide (SPIO) nanoparticles and magnetic fields (MFs).Methods: SPIO nanoparticles were synthesized by classic chemical co-precipitation methods and then characterized by transmission electron microscope, dynamic light scattering, and vibrating sample magnetometer. The cytotoxicity of the prepared SPIO nanoparticles and MF was determined using CCK-8 assay and LIVE/DEAD assay. The immunofluorescence images were captured by a laser scanning confocal microscopy. Cell migration was evaluated using the wound healing assay.Results: The prepared SPIO nanoparticles showed a narrow size distribution, low cytotoxicity, and superparamagnetism. SPIO nanoparticles coated with poly-L-lysine could be internalized by spiral ganglion neurons (SGNs) and showed no cytotoxicity at concentrations less than 300 μg/mL. The neurite extension of SGNs was promoted after internalizing SPIO nanoparticles with or without an external MF, and this might be due to the promotion of growth cone development. It was also confirmed that SPIO can regulate cell migration and can direct neurite outgrowth in SGNs preferentially along the direction imposed by an external MF.Conclusion: Our results provide a fundamental understanding of the regulation of cell behaviors under physical cues and suggest alternative treatments for sensorineural hearing loss caused by the degeneration of SGNs.Keywords: physical cues, neurites orientation, hearing loss, cochlear implants, migration
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- 2021
389. Signature Panel of 11 Methylated mRNAs and 3 Methylated lncRNAs for Prediction of Recurrence-Free Survival in Prostate Cancer Patients
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Cai J, Yang F, Chen X, Huang H, and Miao B
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recurrence-free survival ,methylation ,prognostic signature ,Therapeutics. Pharmacology ,RM1-950 ,prostate cancer - Abstract
Jiarong Cai,1,* Fei Yang,1,* Xuelian Chen,1 He Huang,2 Bin Miao3 1Department of Urology, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People’s Republic of China; 2General Surgery Department, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510630, People’s Republic of China; 3Department of Organ Transplantation, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510630, People’s Republic of China*These authors contributed equally to this workCorrespondence: He HuangGeneral Surgery Department, the Third Affiliated Hospital of Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, Guangdong, 510630, People’s Republic of ChinaEmail huangh85@mail.sysu.edu.cnBin MiaoDepartment of Organ Transplantation, the Third Affiliated Hospital of Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, Guangdong, 510630, People’s Republic of ChinaTel +86-20-82179517Fax +86-20-82179517Email miaobin@mail.sysu.edu.cnBackground: Radical prostatectomy is the main treatment for prostate cancer (PCa), a common cancer type among men. Recurrence frequently occurs in a proportion of patients. Therefore, there is a great need to early screen those patients to specifically schedule adjuvant therapy to improve the recurrence-free survival (RFS) rate. This study aims to develop a biomarker to predict RFS for patients with PCa based on the data of methylation, an important heritable contributor to carcinogenesis.Methods: Methylation expression data of PCa patients were downloaded from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus database (GSE26126), and the European Bioinformatics Institute (E-MTAB-6131). The stable co-methylation modules were identified by weighted gene co-expression network analysis. The genes in modules were overlapped with differentially methylated RNAs (DMRs) screened by MetaDE package in three datasets, which were used to screen the prognostic genes using least absolute shrinkage and selection operator analyses. The prognostic performance of the prognostic signature was assessed by survival curve analysis.Results: Five co-methylation modules were considered preserved in three datasets. A total of 192 genes in these 5 modules were overlapped with 985 DMRs, from which a signature panel of 11 methylated messenger RNAs and 3 methylated long non-coding RNAs was identified. This signature panel could independently predict the 5-year RFS of PCa patients, with an area under the receiver operating characteristic curve (AUC) of 0.969 for the training TCGA dataset and 0.811 for the testing E-MTAB-6131 dataset, both of which were higher than the predictive accuracy of Gleason score (AUC = 0.689). Also, the patients with the same Gleason score (6– 7 or 8– 10) could be further divided into the high-risk group and the low-risk group.Conclusion: These results suggest that our prognostic model may be a promising biomarker for clinical prediction of RFS in PCa patients.Keywords: prostate cancer, recurrence-free survival, methylation, prognostic signature
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- 2021
390. Perioperative Transfusion is Related to the Length of Hospital Stays in Primary Liver Cancer Patients
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Qi Q, Qian X, Zhu X, Cai J, Xia R, and Zhang Q
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primary liver cancer ,length of hospital stays ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,coagulation factor ,bilirubin ,inflammatory factor ,RC254-282 ,transfusion - Abstract
Qi Qi,* Xuemeng Qian,* Xinfang Zhu, Jiajing Cai, Rong Xia, Qi Zhang Department of Transfusion Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, People’s Republic of China*These authors contributed equally to this workCorrespondence: Rong Xia; Qi ZhangDepartment of Transfusion Medicine, Huashan Hospital, Fudan University, 12 Urumqi Middle Road, Shanghai, 200040, People’s Republic of ChinaEmail xiarongcn@126.com; friday0451@163.comPurpose: Blood loss may be corrected with red blood cell transfusion, but may ultimately contribute to negative impacts. This study was a retrospective analysis to assess the impact of perioperative blood transfusion on hospital stay days in liver cancer patients.Methods: We retrospectively examined data from patients with primary liver cancer who underwent curative resection. Patients were divided into perioperative blood transfusion (PBT) and non-PBT groups. Data were given as means and SDs for continuous variables and as counts and percentage for categorical variables. The correlation between blood transfusion and hospital stay days was analyzed by Fisher’s exact test. Multivariable logistic regression analyses were used to identify independent predictors of length of hospital stays.Results: Totally 206/1031 patients (20.3%) were given perioperative transfusion. The mean length of hospital stay was 17.8 days in PBT and 13.9 days in non-PBT groups. Our multivariable logistic regression showed transfusion, total bilirubin, indirect bilirubin, and the ratio of albumin to bilirubin were all indicators of the length of hospital stay days. Perioperative transfusion was also associated with prolonged length of hospital stays (95% CI: 0.395– 0.811, p = 0.002). Transfusion also affected intrinsic coagulation factors (activated partial thromboplastin time, fibrinogen, platelet), inflammatory index (neutrocyte to lymphocyte ratio, monocyte), albumin and bilirubin levels.Conclusion: Perioperative transfusion of blood was associated with a significantly increased length of hospital stays probably via changing intrinsic coagulation and inflammatory factors and bilirubin levels in plasma.Keywords: primary liver cancer, transfusion, length of hospital stays, bilirubin, coagulation factor, inflammatory factor
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- 2021
391. A Novel KIF5B-EGFR Fusion Variant in Non-Small-Cell Lung Cancer and Response to Afatinib: A Case Report
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Wang X, Huang L, Cai J, and Liu A
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afatinib ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,kif5b-egfr ,next-generation sequencing ,egfr fusion ,non-small cell lung cancer ,RC254-282 - Abstract
Xia Wang,1,* Long Huang,1,* Jing Cai,1 Anwen Liu1,2 1Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi Province, People’s Republic of China; 2Jiangxi Key Laboratory of Clinical Translational Cancer Research, Nanchang, 330000, Jiangxi Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Anwen LiuDepartment of Oncology, The Second Affiliated Hospital of Nanchang University, No. 1, Minde Street, Nanchang, Jiangxi Province, 330000, People’s Republic of ChinaEmail awliu666@163.comAbstract: Epidermal growth factor receptor (EGFR) fusions are rare genomic events in non-small-cell lung cancer (NSCLC). With advances in detection technology, some uncommon genomic mutation events, including EGFR fusions, have been detected. There are no standard treatment options for NSCLC patients harboring EGFR fusion. Herein, we report a case of KIF5B-EGFR fusion in NSCLC responding to tyrosine kinase inhibitors (TKIs). A 50-year-old male underwent left upper lobectomy followed by adjuvant chemotherapy for pathological stage IA3 lung adenocarcinoma. The tumor tissue was subjected to next-generation sequencing (NGS) and showed a KIF5B-EGFR fusion. When cancer recurrence occurred thirteen months later, the patient received afatinib (40 mg qd) as second-line treatment, and a partial response was observed, which resulted in an 11-month progression-free survival (PFS). This case provides valuable information on the response to afatinib in an NSCLC patient with a novel KIF5B-EGFR fusion. The NGS assay provides a powerful tool for identifying rare or atypical EGFR gene mutations in patients with NSCLC, which should be encouraged in clinical practice.Keywords: KIF5B-EGFR, EGFR fusion, next-generation sequencing, afatinib, non-small cell lung cancer
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- 2021
392. Extreme high-speed-rate laser directed energy deposition of high strength low carbon stainless steel coating with layered heterogeneous structure
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Bu, X.Y., primary, Xu, X., additional, Lu, H.F., additional, Cai, J., additional, Deng, W.W., additional, Xing, F., additional, Luo, K.Y., additional, and Lu, J.Z., additional
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- 2022
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393. Constructing melamine coating convertible into solid electrolytes to enhance the electrochemical performance of Li2ZnTi3O8 anode
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Cai, J.-X., primary, Zhu, H.-L., additional, Liu, W., additional, Qi, Y.-X., additional, Yang, H., additional, Li, T., additional, and Bai, Y.-J., additional
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- 2022
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394. Half-Field Segmented VMAT Spares Organs at Risk from Postoperative Left Breast Cancer Radiotherapy
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Ge, H., primary, Cai, J., additional, Li, D., additional, Ding, D., additional, Jia, L., additional, Wei, S., additional, and Liu, Y., additional
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- 2022
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395. Advanced Theoretical Models for Broadband Klystron Development
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Cai, J. C., primary, Xu, J., additional, Chen, S., additional, Su, Z. X., additional, Yue, L. N., additional, Yin, H. R., additional, Zhao, G. Q., additional, Guo, R., additional, Shen, D. G., additional, Wang, W. X., additional, and Wei, Y. Y., additional
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- 2022
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396. Influence of chemoradiation on the immune microenvironment of cervical cancer patients
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Herter, J. M., primary, Kiljan, M., additional, Kunze, S., additional, Reinscheid, M., additional, Ibruli, O., additional, Cai, J., additional, Niu, L., additional, Heßelmann, I., additional, Trommer, M., additional, Herter-Sprie, G. S., additional, Köhler, C., additional, and Marnitz, S., additional
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- 2022
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397. Crystal Structure of human phosphodiesterase 10 in complex with 4-N-ethyl-5-[3-(trifluoromethyl)phenyl]-7H-pyrrolo[2,3-d]pyrimidine-2,4-diamine
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Joseph, C., primary, Benz, J., additional, Flohr, A., additional, Cai, J., additional, and Rudolph, M.G., additional
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- 2022
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398. The Value of Preoperative Phase-Contrast MRI in Predicting the Clinical Outcome of Moyamoya Disease after Encephalo-Duro-Arterial Synangiosis Surgery
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Liu, S., primary, Lu, M., additional, Han, C., additional, Hao, F., additional, Sheng, F., additional, Liu, Y., additional, Zhang, L., additional, Liu, D., additional, Xie, R., additional, Zhang, H., additional, and Cai, J., additional
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- 2022
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399. Wien effect in interfacial water dissociation through proton-permeable graphene electrodes
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Cai, J., primary, Griffin, E., additional, Guarochico-Moreira, V. H., additional, Barry, D., additional, Xin, B., additional, Yagmurcukardes, M., additional, Zhang, S., additional, Geim, A. K., additional, Peeters, F. M., additional, and Lozada-Hidalgo, M., additional
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- 2022
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400. A 64-channel high-time resolution digital waveform sampling electronic system based on DRS4 for positron burst annihilation lifetime measurement
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Wang, M., primary, Bian, Z., additional, Wang, Y., additional, Li, D., additional, Li, X., additional, Cai, J., additional, Wang, P., additional, Wang, B., additional, Cao, X., additional, Zhang, Z., additional, Kuang, P., additional, Liu, F., additional, Zhang, H., additional, Yu, X., additional, Chen, T., additional, Yun, X., additional, and Wei, L., additional
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- 2022
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