5,548 research outputs found
Gemcitabine: Progress in the treatment of pancreatic cancer
Full text linkUnresectable pancreatic cancer has a dismal prognosis with a median survival of 3-5 months in untreated disease. Since the introduction of gemcitabine, pancreatic cancer may no longer be regarded a chemotherapy-resistant tumor. Treatment with single-agent gemcitabine achieved clinical benefit and symptoms improvement in 20-30% of patients. While 1-year survival was observed in 2% of 5-fluorouracil (5-FU)-treated patients, it was raised to 18% by single-agent gemcitabine. Good treatment tolerability and low incidence of side effects are clear advantages of single-agent gemcitabine. Improvement of efficacy is, however, expected from combination treatment. Gemcitabine and cisplatin given as first-line treatment in three studies achieved a median survival of 7.4-8.3 months. One-year survival was raised to 28% as reported in one study. Comparable activity was obtained by a combination of gemcitabine with 5-FU. Nine studies using gemcitabine in combination with standard-dose or high-dose 5-FU reported a median survival ranging from 5.5 to 13 months. Notwithstanding these promising results, recommendations regarding palliative chemotherapy of pancreatic cancer remain tentative and still need confirmation by presently ongoing phase III trials. Inclusion of pancreatic cancer patients into clinical trials should be a major goal. Outside clinical trials, patients should present with an adequate PS (Karnofsky-performance index greater than or equal to 70) to qualify for chemotherapy. Copyright (C) 2001 S. Karger AG, Basel
Business Model Innovation of JF Logistics Company
Full text link摘要 随着全球化经济的发展，市场竞争变得越来越复杂。信息时代使得物流供应链管理已上升到企业的战略管理高度。在这样的背景下，本文应用翁君奕老师的介观商务模式创新观点，对JF物流公司所处行业现状进行剖析，重新审视了外部客户市场以及内部自身情况，找出了JF物流公司自身的优势，并结合外部市场客户的需求，提出了“为客户提供个性化的集物流、资金流、信息流于一体的供应链物流服务”这一价值主张，并在此基础上，重新定位客户市场，创新服务产品，理顺内部管理架构和业务流程以支撑和保持这一价值主张。文中同时以例证来说明依据新价值主张所创新的服务产品给JF物流公司所带来的变化，以此说明通过商务模式创新来实行自身的战略...Abstract With the development of the global economy, the competition in market becomes more complicated. In the era of information, logistics and supply chain management is regarded as important as part of the company strategy. Under such background , the author of this essay uses the concept of “JieGuan Business Model Innovation” proposed by Professor Weng Junyi of Xiamen University, and analy...学位：管理学硕士院系专业：管理学院高级经理教育中心（EMBA项目）_管理经济学学号：X200615614
Temporal and spatial variability in speakers with Parkinson's Disease and Friedreich's Ataxia
No full textSpeech variability in groups of speakers with Parkinson's disease (PD) and with Friedreich's ataxia was compared with healthy controls. Speakers repeated the same phrase 20 times at one of two rates (fast or habitual). A non-linear analysis of variability was performed which used some of the principles behind the spatio-temporal index (STI). The STI usually employs variation in lip displacement over repetitions of the same utterance and a linear analysis of such signals is conducted to represent the combined variation in spatial and temporal control. When working with patients, audio measures (here we used speech energy) are preferred over kinematics ones as they are minimally disruptive to speech. Non-linear methods allow spatial variability to be estimated separately from temporal variability. The results are tentatively interpreted as showing that PD speakers were distinguished from healthy control speakers in spatial variability and ataxic speakers were distinguished from controls in temporal variability. These findings are consistent with the speech symptoms reported for these disorders. We conclude that the non-linear analysis using the speech energy measure is worth investigating further as it is potentially revealing of the differences underlying these two pathologies
Interlayer interaction in a layered error-control scheme for mobile wireless data networks
No full text[[abstract]]Interlayer interaction of a layered error-recovery mechanism to act against channel errors for wireless-data communications is examined in this paper. Error-control designs are implemented at two different layers in the protocol stack. A finite number of retransmissions is performed at the lower layer by a mix-mode automatic-repeat request as the primary error removal. At the upper layer, a time-out mechanism is employed, together with a packet-level coding technique, as the secondary error elimination. Performance of the proposed scheme is analyzed and verified by simulations. Through numerical experiments, we have demonstrated how the system performance is influenced by layer parameters. It is discovered that error-correcting capability needs to function at the upper layer to ensure a good system performance.[[note]]SC
Chip-Level Channel Estimation for the Downlink of a WCDMA System in Very High Mobility Environment
No full text[[abstract]]This article proposes a channel estimation method for the downlink channels of a WCDMA system in a high-speed railroad setting. High mobility may cause conventional symbol-level channel estimation to yield severe errors because in conventional methods channel state has to maintain constant within one to several symbol durations. However. in high mobility environment, this assumption may not hold. Errors are particularly more dangerous when using very high spreading factors. In order to counteract the adverse effect of high mobility on channel estimation, we shorten the observation window to that of an N-chip block so that channel conditions or characteristics remain approximately unchanged. We consider channel estimation prior to dispreading the received signal. In other words, channel estimation is done Lit the chip level rather than the conventional symbol level. The least squares (LS) criterion is employed to acquire channel characteristics for each block of N pilot chips, and the linear interpolation method is used to determine the channel characteristics for each data chip. The LS-based estimator is selected due to its simplicity since it does not need to know channel or noise statistics. An LS-based estimator at the chip level has the further advantage that it is robust against interpath interference (IPI). The uncoded bit error rate (BER) performance of a RAKE receiver using different channel estimation schemes is evaluated and compared through simulations. The proposed scheme is found to be suitable for a high-speed railroad setting.[[note]]SC
Determination of linear alkylbenzenesulfonates in modern sediments from core Zhu-9 and its significance
No full textRevealing operando reconstruction effect of Ni-Co dual-cation in black phosphorus for promoting oxygen evolution reaction
No full textThis research was supported by the National Natural Science Foundation of China (21571119), Fundamental Research Program of Shanxi Province (No. 202203021221130, No. 202203021221136, No. 20210302124473), the Natural Science Foundation of Shanxi Province (No. 202203021221130, No. 202203021221136, No. 20210302124473), “Chunhui Plan” Cooperative Scientific Research Project of Education Ministry (No. HZKY20220510), Scientific and Technological Innovation Programs of Higher Education Institution in Shanxi (2019L0466), the Graduate Education Innovation Project of Shanxi Province (2021Y480, 2022Y483), the China postdoctoral Science Foundation (2021M691366), the Graduate Education Innovation Project of Shanxi Normal University (2021XSY038) and 1331 Engineering of Shanxi Province
A novel AML1-ETO/FTO positive feedback loop promotes leukemogenesis and Ara-C resistance via stabilizing IGFBP2 in t(8;21) acute myeloid leukemia
Full text linkBackground t(8;21)(q22;q22) is one of the most frequent chromosomal abnormalities in acute myeloid leukemia (AML), leading to the generation of the fusion protein AML1-ETO. Despite t(8;21) AML being considered as a subtype with a favorable prognosis, approximately 30-50% of patients experience drug resistance and subsequent relapse. N-6-methyladenosine (m(6)A) is demonstrated to be involved in the development of AML. However, the regulatory mechanisms between AML1-ETO and m(6)A-related enzymes and the roles of dysregulated m(6)A modifications in the t(8;21)-leukemogenesis and chemoresistance remain elusive. Methods Chromatin immunoprecipitation, dual-luciferase reporter assay, m(6)A-qPCR, RNA immunoprecipitation, and RNA stability assay were used to investigate a regulatory loop between AML1-ETO and FTO, an m(6)A demethylase. Gain- and loss-of-function experiments both in vitro and in vivo were further performed. Transcriptome-wide RNA sequencing and m(6)A sequencing were conducted to identify the potential targets of FTO. Results Here we show that FTO is highly expressed in t(8;21) AML, especially in patients with primary refractory disease. The expression of FTO is positively correlated with AML1-ETO, which is attributed to a positive regulatory loop between the AML1-ETO and FTO. Mechanistically, AML1-ETO upregulates FTO expression through inhibiting the transcriptional repression of FTO mediated by PU.1. Meanwhile, FTO promotes the expression of AML1-ETO by inhibiting YTHDF2-mediated AML1-ETO mRNA decay. Inactivation of FTO significantly suppresses cell proliferation, promotes cell differentiation and renders resistant t(8;21) AML cells sensitive to Ara-C. FTO exerts functions by regulating its mRNA targets, especially IGFBP2, in an m(6)A-dependent manner. Regain of Ara-C tolerance is observed when IGFBP2 is overexpressed in FTO-knockdown t(8;21) AML cells. Conclusion Our work reveals a therapeutic potential of targeting AML1-ETO/FTO/IGFBP2 minicircuitry in the treatment for t(8;21) patients with resistance to Ara-C
Additional file 6 of Prevalence of chronic cough in China: a systematic review and meta-analysis
No full textAdditional file 6. Fig. S1. Distribution of children with chronic cough across Mainland China. NOTE: Red star in the map represents Beijing City. The map was developed in XL Toolbox NG by ourselves, without the conflict of copyright. Fig. S2. Pooled chronic cough prevalence of adults stratified by region. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S3. Pooled chronic cough prevalence of adults stratified by diagnostic criteria. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S4. Pooled chronic cough prevalence of adults stratified by year of publication. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S5. Pooled chronic cough prevalence of adults stratified by age. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S6. Pooled chronic cough prevalence of adults stratified by sampling methods. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S7. Pooled chronic cough prevalence of adults stratified by sample size. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S8. Pooled chronic cough prevalence of adults stratified by prevalence definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S9. Pooled chronic cough prevalence of adults stratified by chronic cough definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S10. Pooled chronic cough prevalence of adults stratified by quality of articles assessed by AHRQ. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S11. Pooled chronic cough prevalence of children stratified by region. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S12. Pooled chronic cough prevalence of children stratified by diagnostic criteria. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S13. Pooled chronic cough prevalence of children stratified by year of publication. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S14. Pooled chronic cough prevalence of children stratified by sample size. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S15. Pooled chronic cough prevalence of children stratified by chronic cough definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S16. Pooled chronic cough prevalence of children stratified by quality of articles assessed by AHRQ. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S17. Pooled chronic cough prevalence of children stratified by prevalence definitions. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S18. Funnel plot for prevalence in studies of adults for chronic cough. Fig. S19. Sensitivity analysis for prevalence in studies of adults for chronic cough. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S20. The prevalence of chronic cough in adults after exclusion of the nationwide study (Li JC 2018). Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S21. The prevalence of chronic cough in adults after exclusion of the low prevalence study (ZHANG JF 1999). Abbreviations: CI, confidence intervals. NOTE: The two author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S22. Funnel plot for prevalence in studies of children for chronic cough. Fig. S23. Sensitivity analysis for prevalence in studies of children for chronic cough. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S24. Pooled prevalence of chronic cough in China (including adults and children). Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, the two author labels of Venners 2001 are from the same literature, and the four author labels of ZHANG JF 2002 are from the same literature
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