Top PDF ELECTRONIC DATA COLLECTION Manual

ELECTRONIC DATA COLLECTION Manual

ELECTRONIC DATA COLLECTION Manual

FTE: Enter numerically the full-time equivalent of that employee. If the employee has more than one job title within the district, enter the combined total FTE for this employee. The amount entered may not be greater than 1.0. An edit will ensure that the amount entered is not greater than 1.0. For shared services agreements, see the section “Shared Services Agreements” above. Shared? Select “Y” or “N” from the drop-down menu to indicate whether the employee’s time is shared with another district in a formal agreement. If yes, you must select the county code and district code of the other district from the drop-down menu, and enter the employee’s job description in that district. There are on-screen edits to ensure that the shared county, district and description are completed if “Y” is selected in the “Shared?” column. See the general information section above for a discussion of how to complete data for shared services agreements. The shared services arrangement should be described in the budget on the Supporting Documentation “Shared Services.” NOTE: Districts must enter an amount in each of the following cells. An on- screen edit will ensure that entry has been made. Amounts entered in the “days” columns cannot be greater than 365.
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Collecting verbal autopsies: improving and streamlining data collection processes using electronic tablets

Collecting verbal autopsies: improving and streamlining data collection processes using electronic tablets

In this study, we collected and analyzed data about ad- ministering VA studies on paper and electronic instru- ments at the same two sites. Paper-based collection was conducted using the PHMRC Full Questionnaire. This instrument is described in detail elsewhere [27]. In sum- mary, the instrument contains a five-page general sec- tion of closed-response questions and an age-specific section ranging from 12 to 15 pages of closed-response questions. The survey includes 127 to 183 question de- pending on the age of the decedent, but not all questions are answered due to skip logic. In addition, the survey includes a single page for transcribing an open-ended narrative. Tablet-based electronic collection was con- ducted using the PHMRC Shortened Questionnaire. This instrument and how it was constructed is also described in detail elsewhere [13]. In summary, the questions from the PHMRC Full Questionnaire that contained the least information value for predicting cause of death were dropped, resulting in a total of 67 to 109 closed-ended questions depending on the age of the decedent. Additionally, instead of transcribing the entire open narrative verbatim, interviewers recorded if a set of informative keywords were mentioned during the narra- tive. The electronic instrument was created using Open Data Kit (ODK) software, an open-source tool for devel- oping mobile data collection forms and streamlining the
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Quarterly Data Collection QDC Tool User Manual Version 2.0 February 2004

Quarterly Data Collection QDC Tool User Manual Version 2.0 February 2004

quarter to which the data relates. This is a one up number for each successive quarter dating from the beginning of QDC. For example, the QDC_ID for the first quarter of the year in which QDC began is 1. The QDC_ID for the last quarter of that year is 4. The QDC_ID for the first quarter of the following year is 5 and for the last quarter it is 8. Quarters are dated according to the financial year, not the calendar year. No matter how many times you have to generate the export file for the quarter, QDC Tool will always assign the file exactly the same name and overwrite any existing file in your directory. This ensures there is no duplication of data for the same reporting period.
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1 Benzyl 2 (1H indol 3 yl) 5 oxo­pyrrolidine 2 carbo­nitrile

1 Benzyl 2 (1H indol 3 yl) 5 oxo­pyrrolidine 2 carbo­nitrile

Data collection: CAD-4 Manual (Enraf–Nonius, 1988); cell refinement: CAD-4 Manual; data reduction: HELENA (Spek, 1997); program(s) used to solve structure: SHELXS97 (Sheldrick, 1997); program(s) used to refine structure: SHELXL97 (Sheldrick, 1997); molecular graphics: SHELXTL (Bruker 2000) and ORTEPII (Johnson, 1976); software used to prepare material for publication: SHELXTL.

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L 2 Nitrimino 1,3 diazepane 4 carboxylic acid

L 2 Nitrimino 1,3 diazepane 4 carboxylic acid

Data collection: CAD-4 Manual (Enraf–Nonius, 1988); cell refinement: CAD-4 Manual; data reduction: HELENA (Spek, (1997); program(s) used to solve structure: SHELXS97 (Sheldrick, 2008); program(s) used to refine structure: SHELXL97 (Sheldrick, 2008); molecular graphics: SHELXTL (Sheldrick, 2008); software used to prepare material for publication: SHELXTL.

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L Argininium ethyl sulfate

L Argininium ethyl sulfate

Data collection: DATCOL in CAD-4 Manual (Enraf–Nonius, 1988); cell refinement: LS in CAD-4 Manual; data reduction: HELENA (Spek, 1997); program(s) used to solve structure: SHELXS97 (Sheldrick, 2008); program(s) used to refine structure: SHELXL97 (Sheldrick, 2008); molecular graphics: SHELXTL (Sheldrick, 2008); software used to prepare material for publication: SHELXTL.

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Eco-POWER METER Data Collection Software KW Monitor Operation Manual

Eco-POWER METER Data Collection Software KW Monitor Operation Manual

Demand means the average electric power of 30 minutes. Demand value is always predicted the value at the end ( ** : 00 and :: * 30) by current log data. When demand predicted value is exceeds a set value, alarm is output. Each unit and each group can be monitored demand, but even if the demand icon of Graph Display Menu is clicked neither unit nor group without check the box in setting of demand monitor is not monitored.

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Research on Equipment Technical Data Interactive Electronics Publication Platform

Research on Equipment Technical Data Interactive Electronics Publication Platform

Fig. 4 shows the operating principles of interactive electronic technical manual reader. To achieve safe and reliable interactive electronic manuals reading, manual reader includes data loading, data protection, safety management and control, and interactive reading modules. Computers, which are used to read manuals, are the storage and reading carriers of manuals. Manual data loading is used to load the electronic manual data made by manual maker into manal reader to store structurally. During the loading process, encryption algorithm is called to encrypt the critical data. As a relatively independent function module, data protection module provides user authentication Key based encryption and decryption processing function. Safety management and control module is used to identify user authentication and access control, to realize authorization-reading control. Readers cannot interactively read the data modules directly, which are XML files. Readers need to use interactive reading control module to transform XML files into HTML pages through style tramsformation, and data modules can be presented to readers through IE browser, to achieve interactive reading.
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Prediction of The Pavement Condition For Urban Roadway A Tehran Case Study (RESEARCH NOTE)

Prediction of The Pavement Condition For Urban Roadway A Tehran Case Study (RESEARCH NOTE)

A consensus among the engineering team was sought as a substitute for mathematical curve fitting. This decision was based on the intuition that (1) Manual data collection was not able to rate all the pavement sections in a uniform manner since several data collection teams were used, (2) members of data collection teams tended to rate pavement differently later in the project compared to their early ratings, (3) data collection teams tended to impose their opinions on the numbers they assigned to certain type of conditions that would be different from team to team 4). Tehran’s street network has developed so rapidly in the past 12 years that has caused considerable traffic generation and considerable shift in traffic stream movements. Therefore, the utilization of streets by traffic streams has been changing and has not followed a steady pattern 5). The four above mentioned reasons cause variation in the data points that a mathematical curve-fitting scheme may not be able to account for without considerable use of theories and statistical techniques, many of which require considerable historical data that was missing here. Whenever a consensus among the project team, to agree on a curve that would resemble
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Nafimidone hemihydrate hemi­hydro­chloride

Nafimidone hemihydrate hemi­hydro­chloride

Data collection: Picker Operating Manual (Picker, 1967); cell refinement: Picker Operating Manual; data reduction: DATRDN (Stewart, 1976); program(s) used to solve structure: SHELXS97 (Sheldrick, 1997); program(s) used to refine structure: SHELXL97 (Sheldrick, 1997); molecular graphics: ORTEP-3 for Windows (Farrugia, 1997); software used to prepare material for publication: SHELXL97.

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On the thermal evolution of the crystal structure of SrTeO3: the β form at 473 K1

On the thermal evolution of the crystal structure of SrTeO3: the β form at 473 K1

173 had intensities greater than 2. It was difficult to refine the O atoms anisotropically because the ratio of statistically reliable reflections to the number of refined parameters was very far from optimal. Several atoms (Te4, Sr6, O12, O42 and O53) are located inside significant voids which are larger than the voids for the rest of the atoms. The same peculiarity was also established for the -STO structure. The highest residual electron-density peak is located 0.86 A ˚ from atom Te6 and the deepest hole is located 0.99 A ˚ from atom Sr1. Data collection: CAD-4-PC Manual (Enraf–Nonius ,1993); cell refinement: CAD-4-PC Manual; data reduction: CAD-4-PC Manual; program(s) used to solve structure: SHELXS97 (Sheldrick, 1997); program(s) used to refine structure: SHELXL97 (Sheldrick, 1997); molecular graphics: DIAMOND (Brandenburg, 2005); software used to prepare material for publication: CIFTAB (Sheldrick, 1997) and SHELXL97.
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Traffic Congestion at Toll Plaza: A Case Study of Khed Shivapur, Pune

Traffic Congestion at Toll Plaza: A Case Study of Khed Shivapur, Pune

“Operational benefits of electronic toll collection by H. M. Al-Deek, A. A. Mohamed and A. E. Radwan (2010)”, Traffic congestion is experienced every day by many travellers on urban and suburban highways in the United States. The technological revolution called intelligent transportation systems (ITS) is a method that can overcome this problem. Within ITS, the electronic toll collection (ETC) system which utilizes automatic vehicle identification (AVI) technology to improve efficiency of toll collection. The AVI technology has the ability to identify vehicles as they move through toll lanes. AVI works with the help of wireless communications between a tag (transponder) on a vehicle and an (sensor) located at the lane side. The sensor transmits short pulsed signals repeatedly to the transponder and receives back a modified signal carrying the vehicle's identification. The toll plaza lanes were classified as one of the following lane types: manual toll lane, mixed AVI lane, where AVI is installed on a manual lane, an automatic lane, or both, dedicated AVI lane that permits AVI patrons only. Express AVI lane permits free-flow speed up to 88 km/h. The increase in throughput in the E-PASS lane could not be attributed to normal growth in traffic demand at the plaza, but was caused by introducing the dedicated AVI lanes and traffic shifting to these E-PASS lanes from the mixed lanes.
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Iso­propyl 6,7 di­de­oxy 1,2:3,4 di O iso­propyl­­idene 7 {[(S) 1 phenyl­ethyl]­amino} L glycero α D galacto octo­pyran­uronate

Iso­propyl 6,7 di­de­oxy 1,2:3,4 di O iso­propyl­­idene 7 {[(S) 1 phenyl­ethyl]­amino} L glycero α D galacto octo­pyran­uronate

Data collection: CAD-4 Operations Manual (Enraf±Nonius, 1977); cell re®nement: CAD-4 Operations Manual; data reduction: PROCESS in MolEN (Fair, 1990); program(s) used to solve structure: SIR97 (Altomare et al., 1998); program(s) used to re®ne structure: SHELXL97 (Sheldrick, 1997); molecular graphics: PLATON (Spek, 1998); software used to prepare material for publication: SHELXL97.

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Comparison of two data collection processes in clinical studies: electronic and paper case report forms

Comparison of two data collection processes in clinical studies: electronic and paper case report forms

This study examined eCRFs and pCRFs from the view- point of investigators and other important stakeholders. It found that eCRFs and pCRFs are used in studies with different patient numbers, center numbers and risk. The first ones are more advantageous in large, low – risk stud- ies and gain support from a majority of stakeholders. Our findings also suggest that eCRF and pCRF may not be substitutes but complement each other with their own specific indications. The choice between paper and electronic CRF is a significant step in the design and execution of clinical studies; it should be discussed with the involved stakeholders and based on efficiency.
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5bα,6,7,13bα,14,15 Hexa­hydro­acridino[4,3 c]acridine

5bα,6,7,13bα,14,15 Hexa­hydro­acridino[4,3 c]acridine

Data collection: CAD-4 Manual (Schagen et al., 1989); cell refinement: CAD-4 Manual; data reduction: local program; program(s) used to solve structure: SIR92 (Altomare et al., 1994); program(s) used to refine structure: RAELS (Rae, 2000); molecular graphics: ORTEPII (Johnson, 1976) and CrystalMaker (Crystal- Maker, 2005); software used to prepare material for publication: local programs.

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L 2 Nitrimino 1,3 diazepane 4 carboxylic acid monohydrate

L 2 Nitrimino 1,3 diazepane 4 carboxylic acid monohydrate

Data collection: DATCOL in CAD-4 Manual (Enraf–Nonius, 1988); cell refinement: LS in CAD-4 Manual (Enraf–Nonius, 1988); data reduction: HELENA (Spek, 1997); program(s) used to solve structure: SHELXS97 (Sheldrick, 2008); program(s) used to refine structure: SHELXL97 (Sheldrick, 2008); molecular graphics: SHELXTL (Sheldrick, 2008); software used to prepare material for publication: SHELXTL.

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Tetra­kis­­[μ N,N′ bis­(4 bromo­phenyl)­formamidinato N:N′]­dimolybdenum(II)

Tetra­kis­­[μ N,N′ bis­(4 bromo­phenyl)­formamidinato N:N′]­dimolybdenum(II)

Data collection: CAD-4 Operations Manual (Enraf±Nonius, 1977); cell re®nement: CAD-4 Operations Manual; data reduction: MolEN (Fair, 1990); program(s) used to solve structure: SHELXS97 (Shel- drick, 1997); program(s) used to re®ne structure: SHELXL97 (Sheldrick, 1997); molecular graphics: SHELXTL (Bruker, 1997); software used to prepare material for publication: SHELXTL.

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Tetra­kis­­[μ N,N′ bis­(4 chloro­phenyl)­formamidinato N:N′]­dimolybdenum(II)

Tetra­kis­­[μ N,N′ bis­(4 chloro­phenyl)­formamidinato N:N′]­dimolybdenum(II)

Data collection: CAD-4 Operations Manual (Enraf±Nonius, 1977); cell re®nement: CAD-4 Operations Manual; data reduction: MolEN (Fair, 1990); program(s) used to solve structure: SHELXS97 (Shel- drick, 1997); program(s) used to re®ne structure: SHELXL97 (Sheldrick, 1997); molecular graphics: SHELXTL (Bruker, 1997); software used to prepare material for publication: SHELXTL.

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2,5 Di p tolyl 1,3,4 oxa­diazo­le

2,5 Di p tolyl 1,3,4 oxa­diazo­le

Data collection: CAD-4 Operations Manual Enraf±Nonius, 1977; cell re®nement: CAD-4 Operations Manual; data reduction: PROCESS in MolEN Fair, 1990; programs used to solve structure: SHELX[r]

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The enol form of naf­aza­trom

The enol form of naf­aza­trom

Data collection: Picker Operating Manual (Picker, 1967); cell refinement: Picker Operating Manual; data reduction: DATRDN (Stewart, 1976); program(s) used to solve structure: SHELXS97 (Sheldrick, 1997); program(s) used to refine structure: SHELXL97 (Sheldrick, 1997); molecular graphics: ORTEP-3 for Windows (Farrugia, 1997); software used to prepare material for publication: SHELXL97.

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