Household Portfolio Choice, Reference Dependence, and the Marriage Market

This paper bridges the financial market and the marriage market using a reference-dependent mechanism. Male-biased sex ratios induce families with sons to hold more risky assets, since competitive marital payment in a tight market raises the reference level of marriage expenditure for such families. Using the 2013 China Household Finance Survey data, we find that a 0.1 increase in the sex ratio raises the probability of participating in the stock market by 25.7 percent, or the stock share of liquid wealth by 42.7 percent for families with a son; there appears no effect for families with a daughter

Protective effects of β-eudesmol against septic liver injury via inhibition of NF-κB signaling

Purpose: To investigate the role of β-eudesmol in septic liver injury in mice.Methods: Mice were intraperitoneally injected with 50 or 100 mg/kg β-eudesmol, and then subjected to cecal ligation and puncture for the establishment of a septic model 2 h later. Haematoxylin and eosin staining was used to evaluate histopathological changes in the liver tissues. Terminal deoxynucleotidyl transferase (TdT) dUTP Nick-End Labeling (TUNEL) staining and enzyme-linked immunosorbent assay (ELISA) were employed to determine liver damage, while inflammation and oxidative stress were evaluated by ELISA.Results: Liver tissues of septic mice showed infiltration of inflammatory cells, vacuolar degeneration and obscure nucleus. However, treatment with β-eudesmol ameliorated the histopathological changes (p < 0.01). Moreover, β-eudesmol also reduced hepatocyte apoptosis, and decreased the levels of biomarkers for liver damage. The up-regulation of TNF-α, IL-1β, IL-6 in septic mice were significantly down-regulated by β-eudesmol (p < 0.01), but increased the levels of superoxide dismutase (SOD) and glutathione (GSH) and decreased malondialdehyde (MDA) and myeloperoxidase (MPO) in order to protect the mice against sepsis. In addition, β-eudesmol attenuated the cecal ligation and punctureinduced up-regulation of p-p65 in mice (p < 0.01).Conclusion: β-Eudesmol exerts anti-inflammatory and anti-oxidant effects in septic mice by inactivating NF-κB signaling, and thus may be useful as a potential agent in the management of sepsis

Displacement mechanism of polymeric surfactant in chemical cold flooding for heavy oil based on microscopic visualization experiments

 In order to study the microscopic oil displacement mechanism of polymeric surfactant in chemical cold flooding for heavy oil, the indoor microscopic visualization displacement experiments were carried out. The flooding experiment of heavy oil was conducted by using water, osmotic modified oil displacing agent (a kind of polymeric surfactant) and water-in-oil emulsion (obtained by mixing polymeric surfactant and heavy oil) as displacing phases to study the mechanism of polymeric surfactant to enhance oil recovery in heavy oil reservoir. The experimental results show that the polymeric surfactant can increase the viscosity of the water phase, reduce the water-oil mobility ratio, expand the swept area, and there is no obvious fingering phenomenon which occurs during water flooding. The polymeric surfactant has the surfactant characteristics which can reduce the interfacial tension between oil and water to promote the formation of oil droplets with smaller droplet diameter. And the interfacial film composed of polymeric surfactant molecules will be formed on the surface of oil droplets to prevent the coalescence of oil droplets and improve the flow ability of oil phase. The water-in-oil emulsion can be miscible with the oil in heavy oil displacement process, and thus sweeps the areas such as the dead pores which cannot be swept by water and polymeric surfactant flooding, which increases the sweep efficiency to a certain extent.Cited as: Xu, F., Chen, Q., Ma, M., Wang, Y., Yu, F., Li, J. Displacement mechanism of polymeric surfactant in chemical cold flooding for heavy oil based on microscopic visualization experiments. Advances in Geo-Energy Research, 2020, 4(1): 77-85, doi: 10.26804/ager.2020.01.0

Urban sustainability indicators re-visited: Lessons from property-led urban development in China

This paper proposes a bespoke urban sustainability indicator framework in the context of China's prevalent property-led urban development. Emphasising local characteristics and incorporating underlying institutions, it advocates a more nuanced, holistic and dynamic approach when addressing sustainability issues. Selection of indicators were based on extensive literature reviews and tested through an international expert survey comprising both China-based and overseas-based experts. The two groups of experts have shown divergent views, with the former prioritizing economic and institutional aspects over environmental and social factors. It also provides transferable policy insights to developing countries more generally, given many similarities in broader development challenges. Discussion on recent literature and urban development reinforces the applicability of these tailor-made indicators to not only monitoring but also explaining and predicting urban changes. We argue it is necessary to recognize the centrality of property-led urban development in urban sustainable development, and the need for examining the complex relations between the property sector and urban sustainability via inclusion of institutional analysis and a multi-method approach combining quantitative and qualitative evaluations

Edge data based trailer inception probabilistic matrix factorization for context-aware movie recommendation

The rapid growth of edge data generated by mobile devices and applications deployed at the edge of the network has exacerbated the problem of information overload. As an effective way to alleviate information overload, recommender system can improve the quality of various services by adding application data generated by users on edge devices, such as visual and textual information, on the basis of sparse rating data. The visual information in the movie trailer is a significant part of the movie recommender system. However, due to the complexity of visual information extraction, data sparsity cannot be remarkably alleviated by merely using the rough visual features to improve the rating prediction accuracy. Fortunately, the convolutional neural network can be used to extract the visual features precisely. Therefore, the end-to-end neural image caption (NIC) model can be utilized to obtain the textual information describing the visual features of movie trailers. This paper proposes a trailer inception probabilistic matrix factorization model called Ti-PMF, which combines NIC, recurrent convolutional neural network, and probabilistic matrix factorization models as the rating prediction model. We implement the proposed Ti-PMF model with extensive experiments on three real-world datasets to validate its effectiveness. The experimental results illustrate that the proposed Ti-PMF outperforms the existing ones. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature

Information theory-based algorithm for in silico prediction of PCR products with whole genomic sequences as templates

BACKGROUND: A new algorithm for assessing similarity between primer and template has been developed based on the hypothesis that annealing of primer to template is an information transfer process. RESULTS: Primer sequence is converted to a vector of the full potential hydrogen numbers (3 for G or C, 2 for A or T), while template sequence is converted to a vector of the actual hydrogen bond numbers formed after primer annealing. The former is considered as source information and the latter destination information. An information coefficient is calculated as a measure for fidelity of this information transfer process and thus a measure of similarity between primer and potential annealing site on template. CONCLUSION: Successful prediction of PCR products from whole genomic sequences with a computer program based on the algorithm demonstrated the potential of this new algorithm in areas like in silico PCR and gene finding

ROR-γ drives androgen receptor expression and represents a therapeutic target in castration-resistant prostate cancer.

The androgen receptor (AR) is overexpressed and hyperactivated in human castration-resistant prostate cancer (CRPC). However, the determinants of AR overexpression in CRPC are poorly defined. Here we show that retinoic acid receptor-related orphan receptor γ (ROR-γ) is overexpressed and amplified in metastatic CRPC tumors, and that ROR-γ drives AR expression in the tumors. ROR-γ recruits nuclear receptor coactivator 1 and 3 (NCOA1 and NCOA3, also known as SRC-1 and SRC-3) to an AR-ROR response element (RORE) to stimulate AR gene transcription. ROR-γ antagonists suppress the expression of both AR and its variant AR-V7 in prostate cancer (PCa) cell lines and tumors. ROR-γ antagonists also markedly diminish genome-wide AR binding, H3K27ac abundance and expression of the AR target gene network. Finally, ROR-γ antagonists suppressed tumor growth in multiple AR-expressing, but not AR-negative, xenograft PCa models, and they effectively sensitized CRPC tumors to enzalutamide, without overt toxicity, in mice. Taken together, these results establish ROR-γ as a key player in CRPC by acting upstream of AR and as a potential therapeutic target for advanced PCa

RORγ is a targetable master regulator of cholesterol biosynthesis in a cancer subtype.

Tumor subtype-specific metabolic reprogrammers could serve as targets of therapeutic intervention. Here we show that triple-negative breast cancer (TNBC) exhibits a hyper-activated cholesterol-biosynthesis program that is strongly linked to nuclear receptor RORγ, compared to estrogen receptor-positive breast cancer. Genetic and pharmacological inhibition of RORγ reduces tumor cholesterol content and synthesis rate while preserving host cholesterol homeostasis. We demonstrate that RORγ functions as an essential activator of the entire cholesterol-biosynthesis program, dominating SREBP2 via its binding to cholesterol-biosynthesis genes and its facilitation of the recruitment of SREBP2. RORγ inhibition disrupts its association with SREBP2 and reduces chromatin acetylation at cholesterol-biosynthesis gene loci. RORγ antagonists cause tumor regression in patient-derived xenografts and immune-intact models. Their combination with cholesterol-lowering statins elicits superior anti-tumor synergy selectively in TNBC. Together, our study uncovers a master regulator of the cholesterol-biosynthesis program and an attractive target for TNBC