Task Description. This task includes activities associated with permit-required monitoring conducted in accordance with the conditions specified by state or federal regulatory agencies. All monitoring tasks must be located within or adjacent to the Project area and follow the Department’s Regional Coastal Monitoring Program and FWC's marine turtle and shorebird monitoring programs. Guidance for monitoring of nearshore resources is available in the Department's Standard Operation Procedures For Nearshore Hardbottom Monitoring Of Beach Nourishment Projects. The Local Sponsor must submit work products directly to the appropriate state or federal regulatory agencies in accordance with permit conditions to be eligible for reimbursement under this task, unless otherwise directed.
Task Description. The Local Sponsor will acquire professional services for the engineering and design of the Project such as coastal engineering analyses, preparation of plans and specifications, physical and environmental surveys, cultural resource surveys, design-level geotechnical services, sediment studies, inlet studies, environmental analyses, orthophotography, plan formulations and for obtaining environmental permits and other Project-related authorizations. The Local Sponsor will submit work products to the appropriate State or Federal regulatory agencies as requested by the DEP Project Manager in order to be eligible for reimbursement under this task. Deliverable: Certification of Completion including documentation of submittal affirming that the final design document was completed and submitted to the Department. For interim payment requests, a Task Summary Report signed by the Local Sponsor must be submitted detailing work progress during the payment request period. The Task Summary Report must include the dates and descriptions of all activities, surveys and reports completed or in progress during the time period of the interim payment request.
Task Description. Provide data conversion services to update the newly installed J-CORR with the active information contained within County’s existing Grievance system. The objective of this task is to convert the extracted data from the existing Inmate Grievance Database as presented by County into the data formats required by the new J-CORR applications per the data conversion plan derived between County and Contractor. Contractor will load the data provided by County, programmatically modify the data to conform to the conversion standards defined by County, and upload the converted data to the operational database on County’s live J-CORR database server. Responsibilities: Contractor will:
Task Description. Describe the fieldwork projects or tasks (in as much detail as possible) that relate to each learning objective. ● Evidence/Criteria for Evaluation: For each learning objective, describe how student performance will be evaluated in terms of evidence (e.g. observation, product, report) and criteria (e.g. quality, number of hours). ● iSchool Values: Indicate as appropriate (i.e. either in outcomes, tasks, or evidence/criteria) how the work reflects the iSchool’s commitment to promoting diversity, social justice, and equity.
Task Description. Provide a qualitative description of each investigation task. Example tasks may include, but are not limited to the following: Task 1: Surface Soil Sampling Task 2: Surface Geophysics, Subsurface Soil Boring, and Borehole Geophysics Task 3: Data Gathering to Support Interim Corrective Measures Task 4: Monitoring Well Installation Task 5: Aquifer Testing Task 6: Ground Water Sampling Task 7: Potential Receptor Identification Task 8: Treatability Studies
Task Description. The Recipient, in consideration of the Bureau’s promise to pay remuneration, agrees and promises to assume full responsibility for the completion of the tasks hereunder, in accordance with the terms and conditions of this Agreement. The Recipient agrees to perform applied research and development as follows: Recipient shall conduct applied research and develop or enhance PPE/PPT as described in the Recipient’s Project Proposal and all supplements, addenda, letters, representations, and documentation, Exhibit A, which is summarized as follows: [Project Summary]
Task Description. The requirements in Task 1 of this SOW are designed to improve quality of care with respect to preventing clinical disorders and directing the treatment of clinical disorders. Any facts, opinions, or other types of information obtained initially or in follow-up requests from individuals or other entities within the care delivery system are in connection with these improvements in quality of care. In accordance with 5 CFR 1320.3(h)(5), these information collection activities are not subject to the Paperwork Reduction Act and, therefore, do not have to be submitted to the Office of Management and Budget (OMB) for clearance. Note that this does not exempt QIO information collection activities from the Quality Improvement Program’s internal policies and procedures related to information collection, which are described in Sections 12600-12670 of the QIO Manual. This also means that, as described in the QIO Manual, a XXX's proposed information collection activities continue to require timely submission to the QIO's Project Officer/Division of Quality Improvement for review and approval. The QIO shall update on a quarterly basis the documentation of PARTner activity codes as defined by CMS for its work in meeting the requirements of Task 1c1 in this SOW. In addition to the general requirements for Task 1, the QIO shall conduct the following activities:
Task Description. TP is a concatenation of 4 subtasks: identification and clas- sification of linguistic mentions that denote events (ES); de- tection and normalization of timexes (TE); identification of e-e and e-t pairs (TD); and classification of valid temporal relations according to a predefined set of values (TC). TempEval-3 is a follow-up of two previous evaluation cam- paigns (TempEval and TempEval-2), with the difference that the task of TP is evaluated from an end-to-end per- spective, i.e. systems should produce full temporally an- notated documents starting from raw text. The TempEval-3 datasets are compliant with the TimeML Annotation Guide- lines (Saurı et al., 2006). In particular, an event is defined as any linguistic mention, including verbs, nouns, adjec- tives and prepositional phrases, which denotes something that happens, occurs, or describes states/circumstances in which something obtains or holds true. Each event mention is further characterized by a set of 5 attributes: class, tense, aspect, polarity, and modality. Timexes are defined as lexical items which denote a time, a date, a duration, or a set (e.g. noon, yes- terday, two days ago, yearly), extending previous an- notation initiatives such as TIDES (Xxxxx et al., 2002) and STAG (Xxxxxx, 2001). Finally, the set of pos- sible TRs is based on Xxxxx’x temporal intervals con- sisting of a total of 14 possible values: BEFORE, AFTER, INCLUDES, IS INCLUDED, BEGINS, ENDS, BEGUN BY, ENDED BY, SIMULTANEOUS, IAFTER, XXXXXXX, DURING, DURING INV, IDENTITY. The value IDENTITY is actually non-temporal, but it is used to identify coreference relations between event mentions. For the TempEval-3 campaign extra training data were pro- vided, by automatically annotating almost 600,000 tokens for event, timexes, and TRs. Additionally, a new test data was released with manual gold annotations (20 articles, 8,000 ca. tokens). Evaluation was conducted by means of a new evaluation measure, aimed at assessing the tem- poral awareness of end-to-end systems (XxXxxxx et al., 2013). Temporal awareness measures the ability of a sys- tem to identify and classify TRs. This includes the correct identification and classification of the temporal entities par- ticipating in the TR, i.e. event mentions and timexes. 3xxxxx://xxxxxx.xxx/cltl/TimeMLEventTrigger Table 1 contains the number of events in the TempEval- 3 data splitted by part-of-speech (POS), and Table 2, the distribution per value of TRs for the manually annotated (Train...
Task Description. A variant of a sentence-completion task was used in which the subject of the model sentence or preamble was substituted by a replacement phrase (stimu- lus or filler) when the entire sentence is reproduced aloud. A model sentence with a subject NP in bold was presented on the screen. Participants were asked to read the sentence out loud, to remember it, and then to advance by press- ing a button. A replacement phrase in bold would then appear on the next screen. In Experiment 1, the replacement phrase with sentence capitalization was followed by a line (underscores) and a period to motivate the completion of the response sentence (based on the model sentence). In Experiment 2, the line preceded and the period followed the replacement phrase in lowercase letters to induce the same effect. The task was to complete the sentence based on the model sentence, i.e., to produce a response in which the subject of the model sentence was substituted by the replacement phrase presented on the screen and made to agree accordingly with the participle. After producing the response sentence, the participant advanced to the next item by pressing the same button. The presentation of the model sentence and stimulus for Exper- iment 1 is exemplified in (7). The examples in (7) are indicative of the degree of dialectal variation.
Task Description. The following pages provide a brief description of what is entailed in each task
