90 research outputs found

    Gestational exposure to the great Chinese famine: early life undernutrition impact on prostatic hyperplasia in adulthood

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    IntroductionBenign prostatic hyperplasia (BPH) is a frequent illness in aged men that impacts their quality of life; early childhood exposure to famines may have long-term effects on the chance of developing BPH. The aim of this study is to investigate the relationship between early-life famine exposure and benign prostatic hyperplasia (BPH) risk in Chinese men born during 1959–1961.MethodsWe used medical records from a large, comprehensive hospital to screen people born in China during the years of famine (1959–1961). Birthplaces were identified as indicators of famine exposure status. In the time window between 2017 and 2022, people born during the famine years who had prostatic ultrasonic examinations were selected, and their medical records were retrieved from the database. Univariate and multivariate logistic regression analyses investigated the relationship between famine exposure and BPH risk.ResultsA total of 3,009 subjects were included in this study. Patients with heavy famine exposure had older age, shorter height, lighter weight, lower cholesterol, lower uric acid (UA), lower aspartate aminotransferase (ALT), and a higher incidence of BPH than those with light famine exposure (all p < 0.05). Univariate logistic regression showed that BPH was positively related to famine exposure, age, height, weight, and body mass index (BMI) but negatively related to UA (all p < 0.05). Multivariate logistic regression showed that age and famine exposure were still independent risk factors (p < 0.05), while UA was an independent protective factor for BPH (p < 0.05). Heavy famine exposure increased the risk of BPH (adjusted OR = 1.214, 95% CI = 1.05–1.467, p = 0.045).Conclusions and recommendationFamine and malnutrition exposure during early life may be independent risk factors for BPH in Chinese adults. This relationship provides additional evidence to support the fetal origins of adult diseases and offers clues for the pathological mechanisms of BPH

    Identifying vital nodes in recovering dynamical process of networked system

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    Vital nodes identification is the problem of identifying the most significant nodes in complex networks, which is crucial in understanding the property of the networks and has applications in various fields such as pandemic controlling and energy saving. Traditional methods mainly focus on some types of centrality indices, which have restricted application cases. To improve the flexibility of the process and enable simultaneous multiple nodes mining, a deep learning-based vital nodes identification algorithm is proposed in this study, where we train the influence score of each node by using a set of nodes to approximate the rest of the network via the graph convolutional network. Experiments are conducted with generated data to justify the effectiveness of the proposed algorithm. The experimental results show that the proposed method outperforms the traditional ways in adaptability and accuracy to recover the dynamical process of networked system under different classes of network structure

    Low-dimensional Bose liquids: beyond the Gross-Pitaevskii approximation

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    The Gross-Pitaevskii approximation is a long-wavelength theory widely used to describe a variety of properties of dilute Bose condensates, in particular trapped alkali gases. We point out that for short-ranged repulsive interactions this theory fails in dimensions d less than or equal to 2, and we propose the appropriate low-dimensional modifications. For d=1 we analyze density profiles in confining potentials, superfluid properties, solitons, and self-similar solutions.Comment: 4 pages, 3 figure

    A systematic review of the mechanism of action and potential medicinal value of codonopsis pilosula in diseases

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    As a traditional Chinese medicinal herb with a long history, Codonopsis pilosula (CP) has attracted much attention from the medical community in recent years. This review summarizes the research progress of CP in the medical field in the past 5 years. By searching and analyzing the literature, and combining with Cytoscape software, we comprehensively examined the role and mechanism of action of CP in individual application, combination drug application, and the role and mechanism of action of codonopsis pilosula’s active ingredients in a variety of diseases. It also analyzes the medicinal use of CP and its application value in medicine. This review found that CP mainly manifests important roles in several diseases, such as cardiovascular system, nervous system, digestive system, immune system, etc., and regulates the development of many diseases mainly through the mechanisms of inflammation regulation, oxidative stress, immunomodulation and apoptosis. Its rich pharmacological activities and diverse medicinal effects endow CP with broad prospects and application values. This review provides valuable reference and guidance for the further development of CP in traditional Chinese medicine

    Optimization Algorithm for AoI-Based UAV-Assisted Data Collection

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    Regarding the issue of information freshness in systems that aid in data collection using unmanned aerial vehicles (UAVs), a data collection algorithm that is based on freshness and UAV assistance is proposed. Under the limitations of wireless sensor node communication distance and UAV parameters, the optimization problem of minimizing the average spatial correlation age of information (SCAoI) of all nodes in the area is set up. This problem is solved by optimizing the number of clusters, UAV flight trajectories, and the order of data collection from cluster member nodes. The maximum communication distance of the nodes is used as the cluster formation radius, and the maximum-minimum distance clustering algorithm is used to cluster the nodes in the region to obtain the minimum number of clusters. After it has been proven that the trajectory optimization problem in this study is NP-hard, the ant colony algorithm is applied to obtain the minimum flight time and the corresponding trajectory. By using the greedy algorithm to determine the member nodes in the sequence of data collection for a cluster, the instantaneous SCAoI of the UAV arriving at the cluster head is solved. Simulation results show that the proposed algorithm in this paper can effectively improve the freshness of data and reduce the average SCAoI of the system compared with the algorithm in the comparative literature, reducing the average SCAoI by about 61%

    Gender differences in adoption of information systems: New findings from China

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    The paper explores regional gender differences in information systems adoption based on a sample of 496 Chinese individuals from four universities and one firm, by a lens of theory of planned behavior. It enriches the literature by explaining and examining the moderating effects of gender on the relationships between antecedents and behavioral intention of using information systems for Chinese users. Contrary to prior findings in the US-based research, Chinese women were found to be more strongly influenced by their computer attitudes whereas Chinese men were found to be more strongly affected by their subject norms. Perceived behavior control was important for both sexes without significant difference. The results were robust across prior experience, ages, educational levels, as well as academic disciplines and job occupations. Meanwhile, the paper uncovers under what conditions perceived behavior control and subject norms will be salient determinants of Chinese user acceptance of information systems. Practical implications about gender sensitivity in information systems adoption are discussed. (C) 2010 Elsevier Ltd. All rights reserved

    A comparison of ancient parasites as seen from archeological contexts and early medical texts in China

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    This paper integrates our knowledge from traditional Chinese medical texts and archeological findings to discuss parasitic loads in early China. Many studies have documented that several different species of eukaryotic endoparasites were present in early human populations throughout China. Nevertheless, comprehensive paleoparasitological records from China are patchy, largely due to taphonomic and environmental factors. An examination of early Chinese medical texts allows us to fill in some of the gaps and counteract apparent biases in the current archeoparasitological records. By integrating the findings of paleoparasitology with historic textual sources, we show that parasites have been affecting the lives of humans in China since ancient times. We discuss the presence and prevalence of three groups of parasites in ancient China: roundworm (Ascaris lumbricoides), Asian schistosoma (Schistosoma japonicum), and tapeworm (Taenia sp.). We also examine possible factors that favored the spread of these endoparasites among early humans. Therefore, this paper not only aims to reveal how humans have been affected by endoparasites, but also addresses how early medical knowledge developed to cope with the parasitic diseases.Nanyang Technological UniversityPublished versionThis research was fully supported by NAP Start-Up Grant from Nanyang Technological University. We thank our assistant, Zhu Chuan, from the School of Art, Design and Media who provided expertise on illustrating images that greatly assisted the research. We also truly thank the editors from International Journal of Paleopathology for their great works and assistance
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