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"Wang, Ya-Wen"
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جوهر التقاليد الصينية
يندرج هذا الكتاب في إطار دعوة متنامية إلى قيام حوار بين الحضارات تعم العالم بأسره في سياق العولمة الراهنة فهو يبحث بصورة جديدة ومعمقة في جوهر التقاليد الصينية أي في \"روحها\" العميقة و\"مشاعرها\" الكامنة والتي تتشكل من معتقدات المجتمع الصيني وطقوسه والممارسات المؤثرة فيه وفي الكتاب رصد للحركة الثقافية الجديدة التي شهدتها الصين في عشرينيات القرن المنصرم ولا سيما عمل الكونفوشيوسيين الجدد وفيه شرح لفلسفة التناغم الكوني، كمسعى ثقافي وفلسفي عابر للثقافات من غير أن يعني بالضرورة الذوبان في ثقافة الآخر وفقدان الهوية الثقافية الأصيلة.
Book
Comparison of ARIMA and GM(1,1) models for prediction of hepatitis B in China
Hepatitis B virus (HBV) infection is a major public health threat in China for China has a hepatitis B prevalence of more than one million people in 2017 year. Disease incidence prediction may help hepatitis B prevention and control. This study intends to build and compare 2 forecasting models for hepatitis B incidence in China.
Autoregressive integrated moving average (ARIMA) model and grey model GM(1,1) were adopted to fit the monthly incidence of hepatitis B in China from March 2010 to October 2017. The fitting and forecasting performances of the 2 models were evaluated. The better one was adopted to predict the incidence from November 2017 to March 2018. Database was built by Excel 2016 and statistical analysis was completed using R 3.4.3 software.
Descriptive analysis showed that the incidence of hepatitis B in China has seasonal variation and has shown a downward trend from 2010 to 2017. We selected the ARIMA (3,1,1) (0,1,2)12 model among all the ARIMA models for it has the lowest AIC value. Model expression of GM (1,1) was X(1) (k + 1) = 3386876.7478e0.0249k - 3289206.7428. The root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) of ARIMA(3,1,1)(0,1,2)12 model were lower than GM(1,1) model on fitting part and forecasting part. According to the forecast results, the incidence may have a slight fluctuation during the following months.
The ARIMA model showed better hepatitis B fitting and forecasting performance than GM(1,1) model. It is a potential decision supportive tool for controlling hepatitis B in China before a predictive hepatitis B outbreak.
Journal Article
التحف التاريخية الصينية /
يتناول كتاب (التحف التاريخية الصينية) والذي قام بتأليفه (لي لي) في حوالي (141) صفحة من القطع المتوسط موضوع (التحف الصينية) مستعرضا المحتويات التالية : الفخار الملون (ظهور الفخار، تطور الفخار الملون)-اليشم-الحجر الجميل واليشم، الأدوات اليشمية لثقافة ليانغتشو-الأدوات البرونزية (تقنية البرونز)-الخزف-النحت-الرسم-الأثث-الأشغال الفنية (الأشغال الذهبية والفضية، الأوات المصنوعة بالبامبو والخشب والعاج والقرن الحيواني)-جمع وحفظ التحف التاريخية.
Book
SPIN1, negatively regulated by miR-148/152, enhances Adriamycin resistance via upregulating drug metabolizing enzymes and transporter in breast cancer
Background
Spindlin1 (SPIN1), a protein highly expressed in several human cancers, has been correlated with tumorigenesis and development. Alterations of drug metabolizing enzymes and drug transporters are major determinants of chemoresistance in tumor cells. However, whether the metabolizing enzymes and transporters are under the control of SPIN1 in breast cancer chemoresistance has not yet been defined.
Methods
SPIN1 expression in breast cancer cells and tissues was detected by quantitative real-time PCR (qRT-PCR) and immunohistochemistry. Chemosensitivity assays in vitro and in vivo were performed to determine the effect of SPIN1 on Adriamycin resistance. Downstream effectors of SPIN1 were screened by microarray and confirmed by qRT-PCR and Western blot. Luciferase assay and Western blot were used to identify miRNAs regulating
SPIN1
.
Results
We showed that SPIN1 was significantly elevated in drug-resistant breast cancer cell lines and tissues, compared with the chemosensitive ones. SPIN1 enhanced Adriamycin resistance of breast cancer cells in vitro
,
and downregulation of SPIN1 by miRNA could decrease Adriamycin resistance in vivo. Mechanistically, drug metabolizing enzymes and transporter CYP2C8, UGT2B4, UGT2B17 and ABCB4 were proven to be downstream effectors of SPIN1. Notably,
SPIN1
was identified as a direct target of the miR-148/152 family (miR-148a-3p, miR-148b-3p and miR-152-3p). As expected, miR-148a-3p, miR-148b-3p or miR-152-3p could increase Adriamycin sensitivity in breast cancer cells in vitro. Moreover, high expression of
SPIN1
or low expression of the miR-148/152 family predicted poorer survival in breast cancer patients.
Conclusions
Our results establish that SPIN1, negatively regulated by the miR-148/152 family, enhances Adriamycin resistance in breast cancer via upregulating the expression of drug metabolizing enzymes and drug transporter.
Journal Article
Risk factors for cancer among patients with type 2 diabetes: a retrospective cohort study
Background
Type 2 diabetes mellitus (T2DM) and cancer pose significant public health challenges worldwide. This study investigated the distribution of cancer cases and associated risk factors among patients with T2DM, aiming to inform clinical practices and reduce the burden of co-morbidities.
Methods
A retrospective cohort study analyzed electronic medical records of 70,073 T2DM patients admitted between 2013 and 2019. After exclusions, 3,284 individuals were included, with a median follow-up of 27 months. Associations between 38 baseline characteristics and cancer risk were first assessed using univariate Cox proportional hazards models (reported as hazard ratios [HRs] with 95% confidence intervals [CIs]). Significant predictors (
p
< 0.05) were further analyzed in adjusted multivariable Cox models by backward elimination (retaining 2 significant covariates).
Results
Among the participants, 467 (14.2%) developed cancer, with digestive system cancers being the most prevalent (5.8%). The median age of participants was 58 years, with 59% being male. Risk factors for cancer among T2DM patients identified in multivariate analysis included lower serum uric acid levels (HR: 0.9970, 95% CI: 0.9942–0.9998), and higher AST/ALT ratio (HR: 1.84, 95% CI: 1.16–2.92). Specific risk factors for different types of cancer were also identified, such as lower apolipoprotein A for digestive system cancers and older age and lower serum uric acid levels for lung cancer.
Conclusions
These findings highlight the potential value of integrating cancer screening into T2DM management for high-risk patients, such as individuals with altered uric acid or liver enzyme profiles. However, the study’s retrospective design and reliance on single-center data necessitate further prospective studies to validate these associations and refine biomarker-guided monitoring strategies.
Journal Article
miR‐4732‐5p promotes breast cancer progression by targeting TSPAN13
MiR‐4732‐5p was previously found to be dysregulated in nipple discharge of breast cancer. However, the expression and function of miR‐4732‐5p in breast cancer remain largely unknown. Here, the expression of miR‐4732‐5p was detected using quantitative real‐time PCR in breast cancer tissues and cell lines. Cell proliferation, apoptosis, migration and invasion assays were performed to examine the effects of miR‐4732‐5p in breast cancer. In addition, mRNA sequencing, bioinformatics analysis, Western blot and luciferase assays were performed to identify the target of miR‐4732‐5p. Overall, miR‐4732‐5p was significantly down‐regulated in breast cancer tissues, especially in lymph node metastasis (LNM)‐negative tissues, compared with adjacent normal tissues. However, it was more highly expressed in LNM‐positive breast cancer tissues, compared with LNM‐negative ones. Expression of miR‐4732‐5p was positively correlated with lymph node metastasis, larger tumour size, advanced clinical stage, high Ki‐67 levels and poor prognosis. MiR‐4732‐5p promoted cell proliferation, migration and invasion in breast cancer. MiR‐4732‐5p directly targeted the 3′‐UTR of tetraspanin 13 (TSPAN13) and suppressed TSPAN13 expression at the mRNA and protein levels. These results suggested that miR‐4732‐5p may serve as a tumour suppressor in the initiation of breast cancer, but as a tumour promoter in breast cancer progression by targeting TSPAN13.
Journal Article
Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study
ObjectivesHaemorrhagic fever with renal syndrome (HFRS) is a serious threat to public health in China, accounting for almost 90% cases reported globally. Infectious disease prediction may help in disease prevention despite some uncontrollable influence factors. This study conducted a comparison between a hybrid model and two single models in forecasting the monthly incidence of HFRS in China.DesignTime-series study.SettingThe People’s Republic of China.MethodsAutoregressive integrated moving average (ARIMA) model, generalised regression neural network (GRNN) model and hybrid ARIMA-GRNN model were constructed by R V.3.4.3 software. The monthly reported incidence of HFRS from January 2011 to May 2018 were adopted to evaluate models’ performance. Root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) were adopted to evaluate these models’ effectiveness. Spatial stratified heterogeneity of the time series was tested by month and another GRNN model was built with a new series.ResultsThe monthly incidence of HFRS in the past several years showed a slight downtrend and obvious seasonal variation. A total of four plausible ARIMA models were built and ARIMA(2,1,1) (2,1,1)12 model was selected as the optimal model in HFRS fitting. The smooth factors of the basic GRNN model and the hybrid model were 0.027 and 0.043, respectively. The single ARIMA model was the best in fitting part (MAPE=9.1154, MAE=89.0302, RMSE=138.8356) while the hybrid model was the best in prediction (MAPE=17.8335, MAE=152.3013, RMSE=196.4682). GRNN model was revised by building model with new series and the forecasting performance of revised model (MAPE=17.6095, MAE=163.8000, RMSE=169.4751) was better than original GRNN model (MAPE=19.2029, MAE=177.0356, RMSE=202.1684).ConclusionsThe hybrid ARIMA-GRNN model was better than single ARIMA and basic GRNN model in forecasting monthly incidence of HFRS in China. It could be considered as a decision-making tool in HFRS prevention and control.
Journal Article
PIN1P1 is activated by CREB1 and promotes gastric cancer progression via interacting with YBX1 and upregulating PIN1
Long noncoding RNAs (lncRNAs) play critical roles in the carcinogenesis and progression of cancers. However, the role and mechanism of the pseudogene lncRNA PIN1P1 in gastric carcinoma remain unclear. The expression and effects of lncRNA PIN1P1 in gastric cancer were investigated. The transcriptional regulation of CREB1 on PIN1P1 was determined by ChIP and luciferase assays. The mechanistic model of PIN1P1 in gastric cancer was further explored by RNA pull‐down, RIP and western blot analysis. PIN1P1 was overexpressed in gastric cancer tissues, and upregulated PIN1P1 predicted poor prognosis in patients. CREB1 was directly combined with the promoter region of PIN1P1 to promote the transcription of PIN1P1. CREB1‐mediated enhanced proliferation, migration and invasion could be partially reversed by downregulation of PIN1P1. Overexpressed PIN1P1 promoted the proliferation, migration and invasion of gastric cancer cells, whereas decreased PIN1P1 showed the opposite effects. PIN1P1 directly interacted with YBX1 and promoted YBX1 protein expression, leading to upregulation of PIN1, in which E2F1 may be involved. Silencing of YBX1 during PIN1P1 overexpression could partially rescue PIN1 upregulation. PIN1, the parental gene of PIN1P1, was elevated in gastric cancer tissues, and its upregulation was correlated with poor patient outcomes. PIN1 facilitated gastric cancer cell proliferation, migration and invasion. To sum up, CREB1‐activated PIN1P1 could promote gastric cancer progression through YBX1 and upregulating PIN1, suggesting that it is a potential target for gastric cancer.
Journal Article
A Near-Infrared Fluorescent Probe for Recognition of Hypochlorite Anions Based on Dicyanoisophorone Skeleton
A novel near-infrared (NIR) fluorescent probe (SWJT-9) was designed and synthesized for the detection of hypochlorite anion (ClO−) using a diaminomaleonitrile group as the recognition site. SWJT-9 had large Stokes shift (237 nm) and showed an excellent NIR fluorescence response to ClO− with the color change under the visible light. It showed a low detection limit (24.7 nM), high selectivity, and rapid detection (within 2 min) for ClO−. The new detection mechanism of SWJT-9 on ClO− was confirmed by 1H NMR, MS spectrum, and the density functional theory (DFT) calculations. In addition, the probe was successfully used to detect ClO− in HeLa cells.
Journal Article
E2F1‐activated SPIN1 promotes tumor growth via a MDM2‐p21‐E2F1 feedback loop in gastric cancer
Gastric cancer (GC) is one of the most common cancers around the world. We demonstrate that SPIN1 is upregulated and associated with poor prognosis in GC. SPIN1 sustains GC cell proliferation via activation of MDM2‐p21‐E2F1 signaling pathway by binding to H3K4me3 of the MDM2 promoter. E2F1 could directly bind to the SPIN1 promoter and activate its transcription, forming a positive feedback loop. Gastric cancer (GC) is one of the most common cancers around the world. Searching for specific gene expression changes during the development of GC could help identify potential therapy targets. We previously showed that the histone code reader SPIN1 may act as an oncogene in breast cancer. At present, the biological function and regulation of SPIN1 in GC remain unclear. Here, we demonstrate that SPIN1 is upregulated in GC tissues, compared with nontumorous gastric tissues. Increased expression of SPIN1 is closely associated with poor prognosis for patients with GC. Increased SPIN1 expression enhances GC cell proliferation, migration, and invasion and promotes cell cycle progression. Mechanically, SPIN1 sustains GC cell proliferation via activation of the MDM2‐p21‐E2F1 signaling pathway by binding to H3K4me3 of the MDM2 promoter region. Interestingly, E2F1 could directly bind to the SPIN1 promoter and activate its transcription, thus forming a positive feedback loop. Our data suggest that SPIN1 plays an important role in the development of GC and could be used as a promising prognostic biomarker and therapeutic target for GC.
Journal Article