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"Chen, Shuang"
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The Positive Effect of Women’s Education on Fertility in Low-Fertility China
Despite pervasive evidence of more educated women having lower fertility, it remains unclear whether education reduces women’s fertility. This study presents new evidence of the causal effect of women’s education on fertility from China, where fertility has remained below the replacement level since the early 1990s. To account for endogeneity, the study exploits the timing and varying intensity of China’s higher education expansion as exogenous sources of increase in women’s education. Using data from China General Social Survey (2010–2012), findings show that each year of women’s education induced by the higher education expansion increases the number of children ever born by 10%. According to the average marginal effects, each additional year of women’s education increases the number of children ever born by 0.14, decreases the probability of having no children by 3 percentage points, and increases the probability of having two or more children by 4 percentage points. Two mechanisms drive the positive effect of education: first, education does not cause an increase in the mean age at first marriage; second, among ever-married women, education increases their demand for children. Findings from this study have important implications for China and other low-fertility developing countries.
Journal Article
Converting waste PET plastics into automobile fuels and antifreeze components
With the aim to solve the serious problem of white plastic pollution, we report herein a low-cost process to quantitatively convert polyethylene terephthalate (PET) into
p
-xylene (PX) and ethylene glycol (EG) over modified Cu/SiO
2
catalyst using methanol as both solvent and hydrogen donor. Kinetic and in-situ Fourier-transform infrared spectroscopy (FTIR) studies demonstrate that the degradation of PET into PX involves tandem PET methanolysis and dimethyl terephthalate (DMT) selective hydro-deoxygenation (HDO) steps with the in-situ produced H
2
from methanol decomposition at 210 °C. The overall high activities are attributed to the high Cu
+
/Cu
0
ratio derived from the dense and granular copper silicate precursor, as formed by the induction of proper NaCl addition during the hydrothermal synthesis. This hydrogen-free one-pot approach allows to directly produce gasoline fuels and antifreeze components from waste poly-ester plastic, providing a feasible solution to the plastic problem in islands.
To solve the serious problem of white plastic pollution many degradation routes are being investigated. Here the authors show a H
2
-free low-cost Cu/SiO
2
catalyzed process to quantitatively convert polyethylene terephthalate into p-xylene and ethylene glycol in one pot with methanol as both the solvent and hydrogen source at 210 °C.
Journal Article
Full reconstruction of simplicial complexes from binary contagion and Ising data
Previous efforts on data-based reconstruction focused on complex networks with pairwise or two-body interactions. There is a growing interest in networks with higher-order or many-body interactions, raising the need to reconstruct such networks based on observational data. We develop a general framework combining statistical inference and expectation maximization to fully reconstruct 2-simplicial complexes with two- and three-body interactions based on binary time-series data from two types of discrete-state dynamics. We further articulate a two-step scheme to improve the reconstruction accuracy while significantly reducing the computational load. Through synthetic and real-world 2-simplicial complexes, we validate the framework by showing that all the connections can be faithfully identified and the full topology of the 2-simplicial complexes can be inferred. The effects of noisy data or stochastic disturbance are studied, demonstrating the robustness of the proposed framework.
Data-driven recovery of topology is challenging for networks beyond pairwise interactions. The authors propose a framework to reconstruct complex networks with higher-order interactions from time series, focusing on networks with 2-simplexes where social contagion and Ising dynamics generate binary data.
Journal Article
Therapeutic Effects of Quercetin on Inflammation, Obesity, and Type 2 Diabetes
In previous studies, abdominal obesity has been related to total low-grade inflammation and in some cases has resulted in insulin resistance and other metabolism related disorders such as diabetes. Quercetin is a polyphenol, which is a derivative of plants, and has been shown in vitro as well as in a few animal models to have several potential anti-inflammatory as well as anticarcinogenic applications. The substance has also been shown to aid in the attenuation of lipid peroxidation, platelet aggregation, and capillary permeability. However, further research is called for to gain a better understanding of how quercetin is able to provide these beneficial effects. This manuscript reviewed quercetin’s anti-inflammatory properties in relation to obesity and type 2 diabetes.
Journal Article
The Dark Triad and aggression among drug abstainers: a moderated mediation model of self-control and physical exercise
Background
Drug addiction is a significant public health concern, and aggression is common among people with drug addiction. Despite mounting evidence showing that the Dark Triad is a risk factor for aggression, the mediating and moderating mechanisms underlying this relationship are less known. This study tested the mediation effect of self-control in the association between the Dark Triad and aggression and whether this mediation was moderated by physical exercise.
Methods
A cross-sectional study was conducted in two compulsory drug rehabilitation centers in Nanning, China. A convenience sample of 564 drug abstainers completed a questionnaire to assess their Dark Triad, self-control, aggression, and physical exercise levels. Mediation and moderation analyses were carried out in SPSS macro-PROCESS.
Results
Self-control partially mediated the positive association between the Dark Triad and aggression. Physical exercise moderated the indirect effect of the Dark Triad on aggression via self-control, with the effect decreasing with the increase in physical exercise levels.
Conclusions
This study offers fresh insights into the underlying mediating and moderating mechanisms between the Dark Triad and aggression. The findings provide important practical implications for future intervention and prevention programs to address aggression among drug abstainers, which may be realized through strengthening self-control and physical exercise.
Journal Article
Estrogen and estrogen receptors in kidney diseases
Acute kidney injury (AKI) and chronic kidney disease (CKD) are posing great threats to global health within this century. Studies have suggested that estrogen and estrogen receptors (ERs) play important roles in many physiological processes in the kidney. For instance, they are crucial in maintaining mitochondrial homeostasis and modulating endothelin-1 (ET-1) system in the kidney. Estrogen takes part in the kidney repair and regeneration via its receptors. Estrogen also participates in the regulation of phosphorus homeostasis via its receptors in the proximal tubule. The ERα polymorphisms have been associated with the susceptibilities and outcomes of several renal diseases. As a consequence, the altered or dysregulated estrogen/ERs signaling pathways may contribute to a variety of kidney diseases, including various causes-induced AKI, diabetic kidney disease (DKD), lupus nephritis (LN), IgA nephropathy (IgAN), CKD complications, etc. Experimental and clinical studies have shown that targeting estrogen/ERs signaling pathways might have protective effects against certain renal disorders. However, many unsolved problems still exist in knowledge regarding the roles of estrogen and ERs in distinct kidney diseases. Further research is needed to shed light on this area and to enable the discovery of pathway-specific therapies for kidney diseases.
Journal Article
Energy efficient task scheduling for heterogeneous multicore processors in edge computing
Edge computing faces challenges in energy-efficient task scheduling for heterogeneous multicore processors (HMPs). Existing solutions focus on reactive workload adaptation and energy prediction but fail to effectively integrate dynamic voltage and frequency scaling (DVFS). This paper proposes a novel algorithm integrating task prioritization, core-aware mapping, and predictive DVFS. Our approach outperforms state-of-the-art methods, reducing energy consumption by 20.9% while maintaining a low 2.4% deadline miss rate. Experiments on real HMP platforms demonstrate the algorithm’s scalability and adaptability to varying workloads. This work advances energy-efficient edge computing, balancing performance and power constraints.
Journal Article
Regulating ion affinity and dehydration of metal-organic framework sub-nanochannels for high-precision ion separation
Membrane consisting of ordered sub-nanochannels has been pursued in ion separation technology to achieve applications including desalination, environment management, and energy conversion. However, high-precision ion separation has not yet been achieved owing to the lack of deep understanding of ion transport mechanism in confined environments. Biological ion channels can conduct ions with ultrahigh permeability and selectivity, which is inseparable from the important role of channel size and “ion-channel” interaction. Here, inspired by the biological systems, we report the high-precision separation of monovalent and divalent cations in functionalized metal-organic framework (MOF) membranes (UiO-66-(X)
2
, X = NH
2
, SH, OH and OCH
3
). We find that the functional group (X) and size of the MOF sub-nanochannel synergistically regulate the ion binding affinity and dehydration process, which is the key in enlarging the transport activation energy difference between target and interference ions to improve the separation performance. The K
+
/Mg
2+
selectivity of the UiO-66-(OCH
3
)
2
membrane reaches as high as 1567.8. This work provides a gateway to the understanding of ion transport mechanism and development of high-precision ion separation membranes.
Understanding ion transport mechanisms in confined environments is key to achieving efficient membrane-based ion separation. Here, the authors regulate the ion affinity and dehydration in metal-organic framework sub-nanochannels and achieve a high-precise mono-/di-valent cation separation.
Journal Article
A circular RNA activated by TGFβ promotes tumor metastasis through enhancing IGF2BP3-mediated PDPN mRNA stability
Metastasis is the leading cause of cancer-related death, where TGFβ-induced epithelial-mesenchymal transition (EMT) process confers on cancer cells increased metastatic potential. However, the involvement of circRNAs in this process is still obscure. Here, we identify a TGFβ-induced circRNA called circITGB6 as an indispensable factor during the TGFβ-mediated EMT process. circITGB6 is significantly upregulated in metastatic cancer samples and its higher abundance is closely correlated to worse prognosis of colorectal cancer (CRC) patients. Through gain- and loss-of-function assays, circITGB6 is found to potently promote EMT process and tumor metastasis in various models in vitro and in vivo. Mechanistically, circITGB6 enhances the mRNA stability of PDPN, an EMT-promoting gene, by directly interacting with IGF2BP3. Notably, interfering circITGB6 with PEI-coated specific siRNA effectively represses liver metastasis. Therefore, our study reveals the function of a TGFβ-regulated circRNA in tumor metastasis and suggests that targeting circITGB6 is a promising strategy for cancer therapy.
TGFbeta is known to promote cancer metastasis through the promotion of epithelial-mesenchymal transition (EMT). Here, the authors demonstrate that a TGFbeta induced circular RNA (circITGB6) promotes colorectal cancer metastasis via activation of the m6A reader protein, IGF2BP3, resulting in stabilization of an EMT-promoting gene, PDPN.
Journal Article