Current Features:
Cardiovascular disease (CVD) is the leading cause of death in China. To develop effective and timely strategies to cope with the challenges of CVD epidemics, we need to understand the current epidemiological features of the major types of CVD and the implications of these features for the prevention and treatment of CVD. In this Review, we summarize eight important features of the epidemiology of CVD in China. Some features indicate a transition in CVD epidemiology owing to interrelated changes in demography, environment, lifestyle, and health care, including the rising burden from atherosclerotic CVD (ischaemic heart disease and ischaemic stroke), declining mortality from haemorrhage stroke, varied regional epidemiological trends in the subtypes of CVD, increasing numbers of patients with moderate types of ischaemic heart disease and ischaemic stroke, and increasing ageing of patients with CVD. Other features highlight the problems that need particular attention, including the high proportion of out-of-hospital death of patients with ischaemic heart disease with insufficient prehospital care; the wide gaps between guideline-recommended goals and levels of lifestyle indicators; and the huge number of patients with undiagnosed, untreated, or uncontrolled hypertension, hypercholesterolaemia, or diabetes mellitus.
Current Features:
Incremental refreshes provide an economical way to keep extracts current. Now, you have more flexibility with support for incremental refreshes using non-unique key columns such as a column for date/time. This update improves usability by expanding the number of tables eligible to use incremental refreshes.
This section attempts to outline to what extent PostgreSQL conforms to the current SQL standard. The following information is not a full statement of conformance, but it presents the main topics in as much detail as is both reasonable and useful for users.
The PostgreSQL core covers parts 1, 2, 9, 11, and 14. Part 3 is covered by the ODBC driver, and part 13 is covered by the PL/Java plug-in, but exact conformance is currently not being verified for these components. There are currently no implementations of parts 4, 10, and 15 for PostgreSQL.
PostgreSQL supports most of the major features of SQL:2016. Out of 177 mandatory features required for full Core conformance, PostgreSQL conforms to at least 170. In addition, there is a long list of supported optional features. It might be worth noting that at the time of writing, no current version of any database management system claims full conformance to Core SQL:2016.
I am trying to select all the features which are present in the current extent of map i.e which are visible on screen. I find this link helpful but it iterates through all the graphics and check if that graphic is present in the current extent and adds to result set as shown in code below
Application components can retrieve the current availability state at any time, by injecting the ApplicationAvailability interface and calling methods on it.More often, applications will want to listen to state updates or update the state of the application.
This will trigger the import of a dev.properties file in current directory (if such a file exists).Values from the imported dev.properties will take precedence over the file that triggered the import.In the above example, the dev.properties could redefine spring.application.name to a different value.
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Population genetic approaches may be used to investigate dispersal patterns of species living in highly urbanized environment in order to improve management strategies for biodiversity conservation or pest control. However, in such environment, population genetic structure may reflect both current features of the cityscape and urbanization history. This can be especially relevant when focusing on exotic commensal rodents that have been introduced in numerous primary colonial European settlements. Accounting for spatial and temporal cityscape heterogeneity to determine how past and recent demographic events may interplay to shape current population genetic structure of synanthropic rodents may provide useful insights to manage their populations. In this study, we addressed these issues by focusing on the house mouse, Mus musculus domesticus, in Dakar, Senegal, where the species may have been introduced as soon as Europeans settled in the middle of the nineteenth century. We examined genetic variation at one mitochondrial locus and 15 nuclear microsatellite markers from individuals sampled in 14 sampling sites representing different stages of urbanization history and different socio-economic environments in Dakar. We used various approaches, including model-based genetic clustering and model-free smoothing of pairwise genetic estimates. We further linked observed spatial genetic patterns to historical and current features of Dakar cityscape using random forest and Bayesian conditional autoregressive models. Results are consistent with an introduction of the house mouse at colonial time and the current genetic structure exhibits a gradient-like pattern reflecting the historical process of spatially continuous expansion of the city from the first European settlement. The genetic patterns further suggest that population dynamics of the house mouse is also driven by the spatial heterogeneity of the current cityscape, including socio-economics features, that translate in habitat quality. Our results highlight the potential importance of accounting for past demographic events to understand spatial genetic patterns of nonnative invasive commensal rodents in highly urbanized environment.
As shown in Fig 2A, the pitch (blue) and reported category (green) of the current trial could be decoded shortly after the pure tone (cluster-based permutation test, p
Overall, multiple features of the current trial could be successfully decoded from the neural response, i.e., the pitch and category information about the pure tone emerges right after the tone onset, and the neural code of motor response arises following the response cue frame.
Interestingly, as shown in Fig 2B, past-trial features, i.e., pitch (blue), category choice (green), and motor response (orange) could also be decoded form the neural response of the current trial. Crucially, to exclude potential current-trial confounding when decoding past-trial features, we performed the past-trial decoding analysis for each of the same current features and then combined the results (see Methods for details).
Most importantly, we found that past-trial features were reactivated by the corresponding event in the current trial (Fig 2B). Specifically, previous-pitch decoding (blue line, Fig 2B) was at chance level prior to the pure tone and rose right after tone onset (cluster-based permutation test, one-sided, corrected; significant clusters: 184 to 524 ms, 584 to 774 ms, and 954 to 1,024 ms, p
Overall, features of the preceding trial occurring seconds before and retained in memory are reactivated by specific events in the current trial, i.e., pitch and category choice by the tone stimulus and motor response by the response cue. It is noteworthy that past-trial features, given their maintenance in memory, could potentially be reactivated by any triggering event in the current trial, yet the findings support a feature-specific reactivation temporal profile. 041b061a72