DCMI: Dublin Core Metadata Element Set, Version Reference Description

Valid time Valid time is the time for which a fact is true in the real world. A valid time period may be in the past, span the current time, or occur in the future. For the example above, to record valid time the Person table has two fields added, Valid-From and Valid-To. These specify the period when a person’s address is valid in the real world. On April 4, John’s father registered his son’s birth. An official then inserts a new entry into the database stating that John lives in Smallville from April 3. Note that although the data was inserted on the 4th, the database states that the information is valid since the 3rd. The entry in the database is:


Virtual Beijing via ParallelEye: The researchers carry out some basic testing of ParallelEye by creating synthetic cameras meant to be like those mounted on self-driving cars or in large-scale surveillance systems, then testing usability around this. They leave the application of actual AI techniques to the dataset for future research.

Exergen, creator of the temporal artery thermometer. Taking billions of temperatures, thermometers measure child’s temperatures and flu symptoms in adults Select Language.

In this chapter CTL formulas will be written in a simplified syntax. The state of a system consists of the values stored in all latches. Each formula of the logic is either true or false in a given state; its truth is evaluated from the truth of its subformulas in a recursive fashion, until one reaches atomic propositions that are either true or false in a given state.

A formula is satisfied by a system if it is true for all the initial states of the system. If the property does not hold, the model checker will produce a counterexample, that is an execution path that witnesses the failure. An efficient algorithm for automatic model checking used also in VIS has been described by Clarke et al. The following table shows examples of evaluations of formulas on the computation tree of Fig.

Specification of Properties in CTL Temporal logic formulas can be difficult to interpret, so that a designer may fail to understand what property has been actually verified.

SafetyLit: Injury Research and Prevention Literature Update

First draft prepared by Dr D. The overall objectives of the IPCS are to establish the scientific basis for assessment of the risk to human health and the environment from exposure to chemicals, through international peer review processes, as a prerequisite for the promotion of chemical safety, and to provide technical assistance in strengthening national capacities for the sound management of chemicals. The purpose of the IOMC is to promote coordination of the policies and activities pursued by the Participating Organizations, jointly or separately, to achieve the sound management of chemicals in relation to human health and the environment.

Environmental health criteria ; 1. Environmental monitoring – methods 2.

Be the first to know! News, product information, and events delivered straight to your inbox. Sign Me Up.

Dumplin on west, Central Maine and Conant Brook on east of opposing shear sense enclosing the Monson orthogneiss. Research was designed to establish the timing of deformation to test the hypothesis that strain in transpressional systems occurs contemporaneously. An understanding of the timing of deformation in this zone could elucidate the mechanisms that formed the zone and contribute to a greater overall understanding of fabric evolution in transpressional systems.

Plutons that contain all fabrics associated with progressive transpression — lineations ranging from subhorizontal initial to steeply-plunging parallel to dip final — mark the maximum age of deformation. Ages range from Ma in the Hardwick tonalite, Wachusett tonalite, West Warren diorite, Walker Mountain orthogneiss, and Nichewaug diorite, and indicate transpression in the PZoT initiated after ca. Monazite from Rangeley paragneisses and schists selected in the context of petrofabrics and syn-deformational mineral assemblages yield U-Th-Pb EPMA chemical ages that indicate dextral transpression occurred continuously from to Ma.

Monazite chemical ages also indicate that sinistral lateral displacement in the west-bounding Mt. Dumplin high strain zone initiated ca. The data for the Central Maine zone, Conant Brook shear zone, and Greenwich syncline support the idea of contemporaneous deformation across the compartmentalized zones of a transpressive system Ma , while the ages for the Mt.

Dumplin high strain zone indicate sinistral lateral displacement overlapped dextral transpression by about 10 m. Theses and Dissertations–Earth and Environmental Sciences.

Using Temporal Language Models for Document Dating

We write essays, research papers, term papers, course works, reviews, theses and more, so our primary mission is to help you succeed academically. Most of all, we are proud of our dedicated team, who has both the creativity and understanding of our clients’ needs. Our writers always follow your instructions and bring fresh ideas to the table, which remains a huge part of success in writing an essay.

We guarantee the authenticity of your paper, whether it’s an essay or a dissertation. Furthermore, we ensure confidentiality of your personal information, so the chance that someone will find out about our cooperation is slim to none.

We report daily time series models containing both temporal and spatiotemporal lags, which are applied to forecasting intentional wildfires in Galicia, Spain. Models are estimated independently for each of the 19 forest districts in Galicia using a training .

Text classification was performed on datasets having Danish, Italian, German, English and Turkish languages. The goal of text classification is to automatically classify the text documents into one or more predefined categories. Some examples of text classification are: In this post, I will try to present a few different approaches and compare their performances, where implementation is based on Keras.

An end-to-end text classification pipeline is composed of following components: It is the input text through which our supervised learning model is able to learn and predict the required class. A feature vector is a vector that contains information describing the characteristics of the input data.

Temporal database

Policy Auditory Brainstem Implant Aetna considers an auditory brainstem implant ABI medically necessary in members 12 years of age or older who have lost both auditory nerves due to disease e. Member has bilateral severe to profound sensorineural hearing loss determined by a pure tone average of 70 dB or greater at Hz, Hz, and Hz; and Member has limited benefit from appropriately fitted binaural hearing aids.

Aetna considers uniaural monaural or binaural bilateral cochlear implantation a medically necessary prosthetic for infants and children with bilateral sensorineural hearing impairment who meet all of the following criteria: The following additional medical necessity criteria must also be met for uniaural monaural or binaural bilateral cochlear implantation in adults and children:

Hive is a SQL-like language that is supported in most Hadoop distributions, including HDInsight. Data analysts can use Excel to build document data models from analytical data stores, or to retrieve data from OLAP data models into interactive PivotTables and charts. scheduled for recurring temporal windows. These activities can initiate.

General Create all expected Attribute Views first. These will be used later in creating analytic views and calculation views. An attribute view can be used in multiple analytic views or calculation views To the extent possible, design your attribute views as common components that can be used in multiple models to reduce maintenance effort. What it means is create your views step by step. Verify each step before moving on to the next step.

For example in creating an Analytic View: Create the data foundation first and activate it and see the data. If your data set is big use a filter where you could get rows or less to validate the model. Next add an attribute view join and activate and check data. It might be slow process but once you are done modeling it will be done. The advantage by doing this is you can find any data or join issues at every level. You must define at least one Key Attribute Ex:

The Stanford Natural Language Processing Group

Furthermore, the dynamics inherent to classification problems, mainly on the Web, make this task even more challenging. Despite this fact, the actual impact of such temporal evolution on ADC is still poorly understood in the literature. In this context, this work concerns to evaluate, characterize and exploit the temporal evolution to improve ADC techniques. As first contribution we highlight the proposal of a pragmatical methodology for evaluating the temporal evolution in ADC domains.

Through this methodology, we can identify measurable factors associated to ADC models degradation over time.

disparity estimation in stereo videos using spatio-temporal disparity hyperplane models: lda-based context dependent recurrent neural network language model using document-based topic distribution of words: quantifying regulation mechanisms in dating couples through a dynamical systems model of acoustic and physiological arousal.

Best Practices Conventions While netCDF is intended for “self-documenting data”, it is often necessary for data writers and readers to agree upon attribute conventions and representations for discipline-specific data structures. These agreements are written up as human readable documents called netCDF conventions. Use an existing Convention if possible.

See the list of registered conventions. The CF Conventions are recommended where applicable, especially for gridded model datasets. Document the convention you are using by adding the global attribute “Conventions” to each netCDF file, for example: This document refers to conventions for the netCDF classic data model. Coordinate Systems A coordinate variable is a one-dimensional variable with the same name as a dimension, which names the coordinate values of the dimension.

Survey of Spatio

How do ice cores work? Current period is at right. From bottom to top: Milankovitch cycles connected to 18O. From top to bottom: Ice sheets have one particularly special property.

between the language model of di with each partition pj. The timestamp of the docu-ment is the partition which maximizes the similarity score. The rest of the paper is organized as follows. In Sect. 2 we outline the temporal language models used in our approach. In Sect. 3 .

A form of hemoglobin used to test blood sugars over a period of time. ABCs of Behavior An easy method for remembering the order of behavioral components: An injury that may include a scrape, a scratch, a scuff, a graze or a cut to the individual’s skin. Abscess A collection of pus around an infection. Absorb, absorption When liquids soak into a tissue they are absorbed.

Some medications are delivered into the body by allowing them to soak into the skin or other body tissues. Abstain To refrain from doing something or to not participate. Abuse The intentional infliction of injury, unreasonable confinement, intimidation,or punishment aimed at another, with resulting physical harm, pain, or mental anguish.

Java Platform SE 8

Tran Time plays a major and multifaceted role when studying digital collections and their relationship with the user. This is especially true when digital contents are digested long after their time point of generation, creating rooms where numerous events can be observed: The contents are revised or overwritten, users are exposed to other contents in the collection with related information and thereby update their interpretation and interest.

Furthermore, the evolution of context and new events beyond the collection can also influence user perception of relevance or values of the contents. Therefore, good information processing and retrieval systems should take into account these effects of time, not only within a single object but also from intra- as well as inter-collections. At this collective level, it is important to address the user cognitive behaviour in processing information, as humans have the ability of connecting different pieces of information from various sources, and they often exercise this power, consciously or unconsciously, when generating and consuming digital contents.

Hello World!! I recently joined as NLP Researcher (Intern 😇) and I was asked to work on the text classification use cases using Deep learning models. In this article I will share my.

This time data has the effect of restricting the visibility of the data set to a given time period or point in time. Although the complete data set is fetched when the KML file is loaded, the time slider in the Google Earth user interface controls which parts of the data are visible. KML has two time elements, which are derived from TimePrimitive: TimeSpan This allows for their inclusion as children of AbstractView elements. Learn more in the Time with AbstractViews section, below.

Google Earth automatically selects the beginning and ending units for the time slider based on the earliest and latest times found in the KML Features in a particular file. Using the slider and play button, the user can “play” the entire sequence or can select individual time periods for display. The default is Automatically. These samples presume that the “Restrict time to currently selected folder” option is OFF the default. Displaying the Placemark icon briefly at each position along a path has the effect of animating the Placemark.

Handwriting OCR: handwriting recognition and language modeling with MXNet Gluon

All the examples used in this document rely on a toll booth scenario as described below. The toll booth scenario A tolling station is a common phenomenon — we encounter them in many expressways, bridges, and tunnels across the world. Each toll station has multiple toll booths, which may be manual — meaning that you stop to pay the toll to an attendant, or automated — where a sensor placed on top of the booth scans an RFID card affixed to the windshield of your vehicle as you pass the toll booth.

It is easy to visualize the passage of vehicles through these toll stations as an event stream over which interesting operations can be performed. Every event that flows through the system comes with a timestamp that can be accessed via System. In other words every event in our system depicts a point in time.

Language Models for US Presidential Candidates FNU Budianto, Jeff Nainaparampil, Shruti Murali Language Recognition and using Speech Recordings [ poster ] [ report ].

In the case of multi-input or multi-output models, you can use lists as well: String name of optimizer or optimizer instance. String name of objective function or objective function. If the model has multiple outputs, you can use a different loss on each output by passing a dictionary or a list of losses. The loss value that will be minimized by the model will then be the sum of all individual losses. List of metrics to be evaluated by the model during training and testing.

Optional list or dictionary specifying scalar coefficients Python floats to weight the loss contributions of different model outputs. If a list, it is expected to have a 1: If a tensor, it is expected to map output names strings to scalar coefficients. If you need to do timestep-wise sample weighting 2D weights , set this to “temporal”. None defaults to sample-wise weights 1D.

By default, Keras will create placeholders for the model’s target, which will be fed with the target data during training. It can be a single tensor for a single-output model , a list of tensors, or a dict mapping output names to target tensors.

Oracle Database 12c: SQL Pattern Matching