Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
4,698
result(s) for
"Geng, Yu"
Sort by:
تحديث الاقتصاد الصيني
في كتابه \"تحديث الاقتصاد الصيني\" يتناول تشياو جنغ عملية الإصلاح الاقتصادي في الصين خلال ثلاثة عقود تم فيها وصف التطور السريع لاقتصاد الصين ب\"المعجزة الاقتصادية\"، ولكنه وصف غير دقيق -بتعبير المؤلف- وبمعنى أكثر دقة، يعتبر التطور السريع لاقتصاد الصين مجرد عملية انتعاش اقتصادي. إنها عملية مواكبة لاقتصادات الأسواق في المناطق المتقدمة.
Book
Constraints on the Projected Tropical SST Response to Greenhouse Warming by the Observed Antarctic Sea Ice Concentration
The future tropical sea surface temperature (SST) changes profoundly impact global and regional climate. Under greenhouse warming, the reduction of Antarctic sea ice concentration (SIC) acts as an extratropical energy perturbation, exerting a substantial influence on the spatial distribution of tropical SST change. This study reveals a strong correlation between the current Antarctic SIC and tropical SST change, especially the interhemispheric asymmetry and El Niño‐like pattern under greenhouse warming among CMIP6 models. Considering the commonly underestimated Antarctic SIC in CMIP6 models, this study applies an emergent constraint on the projected tropical SST response to greenhouse warming using the observed Antarctic SIC. The interhemispheric asymmetry in projected tropical SST warming can be markedly diminished in the multi‐model ensemble mean, with a 30% reduction in the intermodel uncertainty. The spatial constraints on the projected tropical Pacific SST change produce a more pronounced and westward‐extended El Niño‐like warming pattern. Plain Language Summary Tropical sea surface temperature (SST) change is an essential variable connecting atmosphere and ocean. However, future projections of tropical SST under greenhouse warming remain highly uncertain. This study shows a strong correlation between the climatological Antarctic sea ice concentration (SIC) and the spatial distribution of tropical SST change. It is also found that the Antarctic SIC in the current climate state is systematically underestimated in CMIP6 models compared to observations. By constraining the current SIC in climate models with observations, the interhemispheric asymmetry in projected tropical SST change is reduced to nearly zero, and the corrected tropical SST change displays a more pronounced El Niño‐like warming pattern with a reduction in intermodel uncertainty by about 30%. Improving the reliability of SST projections provides critical insights and implications for addressing climate changes and predictions. Key Points Most CMIP6 models underestimate Antarctic sea ice concentration (SIC) in the current climate state Constrained by the observed Antarctic SIC, the model uncertainty in projected tropical interhemispheric asymmetry change is reduced by 30% Spatial constraints on the projected tropical Pacific sea surface temperature change by the observed Antarctic SIC indicate a more El Niño‐like warming pattern
Journal Article
Impacts of Antarctic Sea Ice Change on Global Warming Pattern Inferred From CMIP6 Intermodel Spread
Global climate models generally project a robust decline in Antarctic sea ice (ASI) under increased atmospheric carbon dioxide (CO2) while an ASI expansion has been observed over the recent four decades. Motivated by the apparent model‐observation discrepancy, this study investigates the influences of ASI change on global warming pattern by exploiting the spread across models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6). The results indicate a close intermodel relationship between ASI change and global sea surface warming pattern. Models with less ASI loss tend to produce a weaker warming globally, especially in the Southern Ocean, subtropical southeastern Pacific Ocean, and tropical Pacific Ocean. This extratropical teleconnection to the tropics agrees with the theory of cross‐equator energy transport. By correcting the modeled ASI change with observations, we can bring the SST warming pattern closer to observations, especially in the Southern Hemisphere and tropics. Plain Language Summary Over the past 40 years, Antarctic sea ice (ASI) has expanded despite the steady rise of atmospheric carbon dioxide (CO2). However, global climate models generally fail to replicate the ASI trend. Such a model‐observation discrepancy casts doubts on model projections of ocean surface warming pattern under greenhouse forcing. Here, we find a close intermodel relationship between the ASI change and the SST warming pattern across CMIP6 models, with positive intermodel spread in ASI tending to have weaker sea surface warming globally, especially in the Southern Ocean, the subtropical southeastern and the tropical Pacific Ocean. When the modeled ASI changes are adjusted to the observed ASI trend in the recent four decades, the model‐simulated warming pattern appears to be closer to observations. Key Points There is a significant negative relationship between Antarctic sea ice loss and global warming across CMIP6 models The impacts of Antarctic sea ice change on global warming pattern agree with cross‐equatorial energy transport theory Modeled global warming pattern is closer to observations by constraining the Antarctic sea ice change in the recent four decades
Journal Article
Prognostic value of triglyceride glucose index in population at high cardiovascular disease risk
Background
Early identification of populations at high cardiovascular disease (CVD) risk and improvement of risk factors can significantly decrease the probability of CVD development and improve outcomes. Insulin resistance (IR) is a CVD risk factor. The triglyceride glucose (TyG) index is a simple and reliable index for evaluating IR. However, no clinical studies on the prognostic value of the TyG index in a high risk CVD population have been conducted. This study evaluated the relationship between the TyG index and prognosis in a high risk CVD population.
Methods
This study enrolled 35,455 participants aged 35–75 years who were at high CVD risk and visited selected health centers and community service centers between 2017 and 2021. Their general clinical characteristics and baseline blood biochemical indicators were recorded. The TyG index was calculated as ln[fasting triglyceride (mg/dl)× fasting blood glucose (mg/dl)/2]. The endpoints were all-cause death and cardiovascular death during follow-up. Cox proportional hazard models and restricted cubic spline (RCS) analysis were used to evaluate the correlation between the TyG index and endpoints.
Results
In the overall study population, the mean age of all participants was 57.9 ± 9.6 years, 40.7% were male, and the mean TyG index was 8.9 ± 0.6. All participants were divided into two groups based on the results of the RCS analysis, with a cut-off value of 9.83. There were 551 all-cause deaths and 180 cardiovascular deaths during a median follow-up time of 3.4 years. In the multivariate Cox proportional hazard model, participants with a TyG index ≥ 9.83 had a higher risk of all-cause death (Hazard ratio [HR] 1.86, 95% Confdence intervals [CI] 1.37–2.51,
P
<0.001) and cardiovascular death (HR 2.41, 95%CI 1.47–3.96,
P
= 0.001) than those with a TyG index < 9.83. Subgroup analysis revealed that there was no interaction between the TyG index and variables in all subgroup analyses.
Conclusions
The high TyG index was associated with an increased risk of all-cause death and cardiovascular death in people at high risk of CVD. This finding demonstrates the value of the TyG index in the primary prevention of CVD.
Trial registration
retrospectively registered, the registration number is K2022-01-005 and the date is 2022.01.30.
Journal Article
G9a regulates breast cancer growth by modulating iron homeostasis through the repression of ferroxidase hephaestin
G9a, a H3K9 methyltransferase, shows elevated expression in many types of human cancers, particularly breast cancer. However, the tumorigenic mechanism of G9a is still far from clear. Here we report that G9a exerts its oncogenic function in breast cancer by repressing hephaestin and destruction cellular iron homeostasis. In the case of pharmacological inhibition or short hairpin RNA interference-mediated suppression of G9a, the expression and activity of hephaestin increases, leading to the observed decrease of intracellular labile iron content and the disturbance of breast cancer cell growth in vitro and in vivo. We also provide evidence that G9a interacts with HDAC1 and YY1 to form a multi-molecular complex that contributes to hephaestin silencing. Furthermore, high G9a expression and low hephaestin expression correlate with poor survival of breast cancer are investigated. All these suggest a G9a-dependent epigenetic program in the control of iron homeostasis and tumor growth in breast cancer.
G9a is a histone methyltransferase highly expressed in several cancers including breast cancer. Here the authors propose a mechanism through which G9a promotes breast cancer by regulating iron metabolism through the repression of ferroxidase hephaestin.
Journal Article
Seasonal Delay of Tropical Rainfall Enhanced by the Interhemispheric Contrast of SST Warming
The seasonal delay of tropical rainfall is a robust feature under global warming. This study finds that the seasonal delay of tropical rainfall is much more pronounced under spatially patterned sea surface temperature (SST) warming compared to uniform SST warming. Through the lens of the atmospheric energetic framework, we show that the enhanced seasonal delay is primarily driven by the interhemispheric contrast in SST warming between the Northern and Southern Hemispheres, which intensifies the inter‐seasonal difference in cross‐equatorial atmospheric energy transport between transition seasons. The SST warming features are found to be crucial, characterized by both its seasonal cycle and annual mean. The former is closely related to the seasonal delay of SST, especially in the northern high latitude, while the latter is further demonstrated by an atmospheric model forced with the annual‐mean spatially patterned SST warming. Plain Language Summary Tropical rainfall annual cycle under global warming exhibits a phase delay among most climate models. The present study finds that the phase delay of tropical rainfall annual cycle is significantly more robust under non‐uniform sea surface temperature (SST) warming compared to uniform SST warming due to the interhemispheric difference of SST warming. We further identify two main reasons for the enhanced seasonal delay of tropical rainfall. First, SST exhibits a seasonal delay in a warmer world. Second, under non‐uniform SST warming, the Northern Hemisphere requires more latent heat to warm up in spring and releases more latent heat to cool down in autumn compared to the Southern Hemisphere. This interhemispheric energy difference impedes the meridional shift of the intertropical convergence zone during the transition seasons, enhancing the seasonal delay of tropical rainfall. Key Points The seasonal delay of tropical rainfall under spatially patterned sea surface temperature (SST) warming is much more robust than that under uniform SST warming The enhanced seasonal delay of tropical rainfall can be partly attributed to the seasonality of interhemispheric contrast of SST warming The annual‐mean interhemispheric contrast of SST warming would also exacerbate the seasonal delay of tropical rainfall
Journal Article
Influence of coal gangue mulching with various thicknesses and particle sizes on soil water characteristics
Water availability seriously affects vegetation restoration in arid mining areas, and mulching is an effective way to improve soil water conditions. Coal gangue occupies large swathes of land resources, resulting in ecological fragility and various environmental problems. Despite coal gangue having mineral elements similar to those in soil, its potential function as a mulch for soil water conservation has been unclear. Herein, mulching on the surfaces of soil columns with 30 cm height and 15 cm inner diameter was conducted using coal gangue with four particle size ranges (0–0.5, 0.5–1, 1–2, and 2–4 cm) and four thicknesses (4, 8, 12, and 16 cm) under laboratory conditions to investigate water infiltration and evaporation under different conditions. The cumulative infiltration of the treatments with mulching thicknesses of 4 cm (T1), 8 cm (T2), 12 cm (T3), and 16 cm (T4) was 16.1%, 22.9%, 28.6%, and 41.6% greater than that of the control, respectively. The cumulative evaporation of the treatments with particle size ranges of 0–0.5 cm (P1), 0.5–1 cm (P2), 1–2 cm (P3), and 2–4 cm (P4) was 6.5%, 28.6%, 22.9%, and 18.6% lower than the control, respectively. Overall, to enhance the soil water storage capacity in mining areas, the results suggest that coal gangue mulching with a thickness of 8–16 cm and particle size range of 0.5–2 cm is suitable.
Journal Article
Acute recurrent rhabdomyolysis in a Chinese boy associated with a novel compound heterozygous LPIN1 variant: a case report
Background
LPIN1
-related acute recurrent rhabdomyolysis (RM), first reported in 2008, is an autosomal recessive inherited metabolic disease. In recent years,
LPIN1
gene variants have been identified as one of the main causes of severe RM in children in Western countries. The disease is extremely rare in China, and we report a case of acute recurrent RM caused by a novel compound heterozygous
LPIN1
variant.
Case presentation
A 15-year-old Chinese boy presented with myalgia after strenuous exercise, accompanied by transient increases in serum creatine kinase and myoglobin and persistent hyperuricaemia and hyperbilirubinaemia. Genetic analysis using high-throughput genomic sequencing and Sanger sequencing revealed that there was a compound heterozygous variant in the
LPIN1
gene of the proband: the paternal c.2047A > G(p.I683V) was an unreported missense variant, and the maternal c.2107_2108 insAGG(p.Q703delin sQE) was an unreported in-frame variant.
Conclusions
In children with RM,
LPIN1
variants should always be considered in the differential diagnosis. The clinical features of our case are atypical, which highlights the importance of an accurate diagnosis by genetic testing. If detected early, the condition may be controlled, and the prognosis may be improved.
Journal Article
Predictive value of macrophage inflammatory protein 3β in the risk of death in sepsis patients
Purpose
This study aims to explore the predictive value of macrophage inflammatory protein 3β (MIP-3β) for mortality risk in sepsis patients.
Methods
177 sepsis patients visited the emergency medicine department of Beijing Chaoyang Hospital between October 2020 and April 2021. Within 1 h of admission, serum levels of WBC (white blood cell), PLT (platelet), TBIL (total bilirubin), PCT (procalcitonin), CRP (C-reactive protein), and MIP-3β were measured, and patients were assessed with organ failure scores—SOFA (Sequential Organ Failure Assessment) and APACHE II (Acute physiology and chronic health evaluation) scores. Logistic regression was used to predict independent risk factors for 28-day mortality, and Receiver Operating Characteristic (ROC)curves were used to assess predictive value. The categorical net reclassification improvement (NRI) was calculated to assess the incremental predictive value of adding MIP-3β to the SOFA score.
Results
MIP-3β (pg/mL), SOFA, and APACHE II scores were significantly higher in non-survivors compared to survivors (
P
< 0.05). The logistic regression analysis revealed that the MIP-3β, SOFA, and APACHE II scores were independent risk factors for 28-day mortality (
P
< 0.05) in sepsis patients. The area under the ROC curve (AUC) for the MIP-3β was 0.635 (sensitivity 0.573, specificity 0.679, critical value 93.43), indicating modest predictive value, lower than SOFA score 0.839 (sensitivity 0.573, specificity 0.962, critical value 7.5,
Z
= 3.446,
P
= 0.0006) and APACHE II score 0.773 (sensitivity 0.556, specificity 0.925, critical value 21.5,
Z
= 2.304,
P
= 0.0212); however, the combined prediction using MIP-3β and SOFA scores (AUC area 0.86, sensitivity 0.637, specificity 0.981,
Z
= 4.552,
P
< 0.0001) had higher AUC area, sensitivity, and specificity than MIP-3β alone (Table
3
). Furthermore, adding MIP-3β to the SOFA score yielded a significant categorical NRI of 0.062 (95% CI: 0.023–0.107,
P
< 0.01), calculated using pre-specified risk categories of < 10%, 10–50%, and > 50% for 28-day mortality risk, indicating improved risk stratification.
Conclusions
MIP-3β is an independent risk factor for 28-day mortality in sepsis, with higher levels associated with increased risk of death. While MIP-3β alone has modest predictive value, its combination with the SOFA score significantly improves mortality prediction, highlighting its potential role as a complementary biomarker for early risk stratification in sepsis.
Clinical trial number
Not applicable.
Journal Article
East Asian summer monsoon response to anthropogenic aerosols redistribution: contrasting 1950–1980 and 1980–2010 to understand the role of non-Asian forcing
Anthropogenic aerosols (AA) induce pronounced East Asian summer monsoon (EASM) changes since the industrial revolution. However, the regional contribution from different AA emission sources is hard to quantify due to AA’s heterogeneous spatial distribution and the nonmonotonic trend at decadal time scale. Using coupled climate models from Coupled Model Intercomparison Project Phase 6 (CMIP6) and Community Earth System Model 1 (CESM1) large ensemble simulations, we investigate EASM responses between 1950–1980 and 1980–2010, to understand how the remote influence of changes in the AA emissions from Europe modulates the EASM at decadal time scale. AA emissions from Europe increased early in the latter half of the twentieth century and then decreased rapidly after the 1980s. During 1950–1980, the increase of AA emissions from Europe, together with the localized increase of AA emissions from East Asia, weakens the EASM by generating the tropospheric cooling and shifting the East Asian subtropical jet equatorward. However, during 1980–2010, the declined AA emissions from Europe generate the tropospheric warming and induce an atmospheric teleconnection pattern that initiate at the heating anomaly and propagate downstream to northeast Asia following the westerly jet, leading to an enhanced EASM. This enhancement due to the remote influence of declined AA emissions from Europe explains why after the 1980s, despite the localized increase of AA emissions from East Asia, coupled climate models results show that the EASM is intensified by the anomalous southerlies and the precipitation increase in Northeast Asia. Our results imply that at the long-term change view, the local AA emissions dominate the EASM response, while the non-local European AA emissions play a more important role in shaping the decadal EASM changes.
Journal Article