123 research outputs found

    PO-059 The External Characteristics, Theme Hotspots And Evolution Of International Physical Activity Research During Pregnancy ——Documentation and Visualization Analysis Based on VOS viewer: There is no full text article associated with this abstract

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    Objective To understand the status quo, characteristics, research hotspots and evolution of international physical activity during pregnancy. Methods Search all relevant literature between the data records and June 30, 2018 with the “Pregnancy Exercise” and “Physical Activity During Pregnancy” keywords in the Web of Science core database. According to the basic principles of bibliometrics, based on keyword co-occurrence, citation analysis, co-citation analysis and other measurement methods, the knowledge map is drawn by VOS viewer 1.68 software, and the external features and hotspots of international physical activity research during pregnancy are presented through visual maps. Results  (1) The study of physical activity during pregnancy started earlier, 30 years ago, and culminated 20 years ago; the subject areas are broad, including: obstetrics, gynaecology, etiology, epidemiology and nutrition, sports science Behind; the journal "American Journal of Obstetrics and Gynecology" ranked first, "Obstetrics and Gynecology" second, "Medicine and Science In Sports and Exercise" third; the core authors work closely; Harvard University, North Carolina The University of Adelaide and the University of Adelaide have made outstanding contributions, and universities have become the main force in this field of research. (2) The hotspots of international physical activity research during pregnancy are mainly distributed in six major areas: 1 the impact of physical activity during pregnancy on maternal health and the risk of complications; 2 the relationship between physical activity and pregnancy outcome during pregnancy; 3 the physical activity of pregnant women during pregnancy and fetal development and Long-term health effects of offspring; 4 factors influencing physical activity during pregnancy; 5 recommended criteria for physical activity during pregnancy, appropriate exercise and exercise during pregnancy, safety and precautions during exercise and exercise; 6 scientific measurement of physical activity during pregnancy Evaluation. (3) In the past 30 years, the research on physical activity and health promotion in the international pregnancy has been increasing year by year. The research hotspots have always evolved around the main line of “physical activity”, “pregnancy”, “fetus”, “health” and “safety”. In addition, its research hotspots also show periodic characteristics that change with the year. Before 1999, the focus of attention was on the “status quo”, “pros and cons” and “safety” of physical activity during pregnancy. In 1999-2006, the focus was on "pregnancy outcomes" and "complications." In 2007-2013, the focus was on “chronic illness” and “exercise prescription”. After 2014, “lifestyle”, “scientific measurement and evaluation” and “epigenetic” gradually became hot spots. Conclusions "Physical activity during pregnancy", "sports exercise during pregnancy", "chronic disease", "safety", "pregnancy outcome", "parental fetal health", "measurement and evaluation" will continue to be the main hotspots in the study of physical activity during international pregnancy in the future; The “built environment”, “mental health”, “epigenetic”, “children’s long-term health”, “preferred physical activity recommendation” and “wearable equipment”, “monitoring method” and “regulatory mechanism” embodying health and happiness, people-oriented development strategy "Glucose and lipid metabolism" and so on will also become the focus of research on physical activity during pregnancy in the next period

    CA1-projecting subiculum neurons facilitate object-place learning.

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    Recent anatomical evidence suggests a functionally significant back-projection pathway from the subiculum to the CA1. Here we show that the afferent circuitry of CA1-projecting subicular neurons is biased by inputs from CA1 inhibitory neurons and the visual cortex, but lacks input from the entorhinal cortex. Efferents of the CA1-projecting subiculum neurons also target the perirhinal cortex, an area strongly implicated in object-place learning. We identify a critical role for CA1-projecting subicular neurons in object-location learning and memory, and show that this projection modulates place-specific activity of CA1 neurons and their responses to displaced objects. Together, these experiments reveal a novel pathway by which cortical inputs, particularly those from the visual cortex, reach the hippocampal output region CA1. Our findings also implicate this circuitry in the formation of complex spatial representations and learning of object-place associations

    New Global Synchronization Analysis for Complex Networks with Coupling Delay

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    Global synchronization analysis for complex networks with coupling delay is investigated. Firstly the constant time delay is analyzed and then the case for time-varying delay is considered. Sufficient conditions for network synchronization are given based on Lyapunov functional, linear matrix inequality, and Kronecker product technique. The unknown variables in the sufficient conditions are fewer than those in the recent reference. Moreover, for the time-varying delay case, we find that the conditions are dependent on the bounds of both time delay and its derivative, and the derivative of the time-varying delay can be any value in the bounds. Finally, numerical examples are given to validate the effectiveness of the obtained results

    Complex genetic architecture underlying the plasticity of maize agronomic traits

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    Phenotypic plasticity is the ability of a given genotype to produce multiple phenotypes in response to changing environmental conditions. Understanding the genetic basis of phenotypic plasticity and establishing a predictive model is highly relevant to future agriculture under a changing climate. Here we report findings on the genetic basis of phenotypic plasticity for 23 complex traits using a diverse maize population planted at five sites with distinct environmental conditions. We found that latitude -related environmental factors were the main drivers of across-site variation in flowering time traits but not in plant architecture or yield traits. For the 23 traits, we detected 109 quantitative trait loci (QTLs), 29 for mean values, 66 for plasticity, and 14 for both parameters, and 80% of the QTLs interacted with latitude. The effects of several QTLs changed in magnitude or sign, driving variation in phenotypic plasticity. We experimentally validated one plastic gene, ZmTPS14.1, whose effect was likely mediated by the compen-sation effect of ZmSPL6 from a downstream pathway. By integrating genetic diversity, environmental vari-ation, and their interaction into a joint model, we could provide site-specific predictions with increased accuracy by as much as 9.9%, 2.2%, and 2.6% for days to tassel, plant height, and ear weight, respectively. This study revealed a complex genetic architecture involving multiple alleles, pleiotropy, and genotype-by -environment interaction that underlies variation in the mean and plasticity of maize complex traits. It provides novel insights into the dynamic genetic architecture of agronomic traits in response to changing environments, paving a practical way toward precision agriculture

    Differential arousal regulation by prokineticin 2 signaling in the nocturnal mouse and the diurnal monkey

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    The temporal organization of activity/rest or sleep/wake rhythms for mammals is regulated by the interaction of light/dark cycle and circadian clocks. The neural and molecular mechanisms that confine the active phase to either day or night period for the diurnal and the nocturnal mammals are unclear. Here we report that prokineticin 2, previously shown as a circadian clock output molecule, is expressed in the intrinsically photosensitive retinal ganglion cells, and the expression of prokineticin 2 in the intrinsically photosensitive retinal ganglion cells is oscillatory in a clock-dependent manner. We further show that the prokineticin 2 signaling is required for the activity and arousal suppression by light in the mouse. Between the nocturnal mouse and the diurnal monkey, a signaling receptor for prokineticin 2 is differentially expressed in the retinorecipient suprachiasmatic nucleus and the superior colliculus, brain projection targets of the intrinsically photosensitive retinal ganglion cells. Blockade with a selective antagonist reveals the respectively inhibitory and stimulatory effect of prokineticin 2 signaling on the arousal levels for the nocturnal mouse and the diurnal monkey. Thus, the mammalian diurnality or nocturnality is likely determined by the differential signaling of prokineticin 2 from the intrinsically photosensitive retinal ganglion cells onto their retinorecipient brain targets

    Jitter solution in parameter identification based on cross-time scale fusion algorithm of lithium-ion batteries

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    Accurate state-of-charge (SOC) estimation is the core index of battery management system (BMS). When the battery equivalent circuit model (ECM) identifies the parameters under complex operating conditions, there is more jitter or even divergence, which will affect the estimation accuracy of battery SOC. To solve this problem, this paper proposes a new algorithm, namely the cross time scale fusion (CTSF) algorithm. Firstly, the cross-time scales Δt1 and Δt2 are determined, the number of cross-time cycles is calculated according to the total amount of complex operating condition data N. Then the ECM parameters are identified in Δt1 by using forgetting factor recursive least square (FFRLS), and the battery SOC is estimated in Δt2 based on the identified parameters, finally the battery parameters are identified and the SOC is estimated by cycling in the cross-time. The experimental results show that, no matter at the same temperature in different conditions or at different temperatures in the same condition, The proposed algorithm not only effectively solves the ECM parameter identification jitter problem, but also improves the accuracy of SOC estimation, the Mean Absolute Error (MAE) minimum of SOC result is 1.42% for different operating conditions at the same temperature and 0.25% for different temperatures at the same operating conditions, respectively

    A GIS- and Fuzzy Set-Based Online Land Price Evaluation Approach Supported by Intelligence-Aided Decision-Making

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    In recent years, with the reforms to the land use system and the development of urbanization in China, land price evaluation has tended towards marketization. Prices are determined by the government, the land transaction market and the public. It is necessary to propose higher standards to be used in the evaluation process. This paper presents an online land price evaluation approach for convenience in evaluation. In a network environment, taking advantage of the data services provided by various departments, we propose two models to assist in decision-making: (1) a geographic information system (GIS)- and fuzzy set-based location factor quantification model, which adopts dynamic data, rules and quantification measures (based on the road network) to dynamically quantify location factors, thus transforming fuzzy sets into appropriate values; and (2) a neartude-based transaction sample push model, which quantifies the similarity between a given land and other samples, thus providing a basis for decision-making by an appraiser. This approach is applied in Shenzhen to evaluate its ability to simplify the work of appraisers and make their decisions more intuitive and objective in a real case
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