Returns data

Data interchange - accepting and returning data via various file transfer mechanisms. 

A spatial join of the analytical data with BGS DiGMapGB-50 Superficial Geology returned data for 4,700 soil samples, which had been collected over glacigenic till deposits (Fig.1) of Mid-Pleistocene, Anglian age. 

Simeon et al. (1995) mailed questionnaires to 135 child psychiatrists in 43 countries to obtain more precise information on the views and approaches to the diagnosis and treatment of childhood psychiatric disorders. Of 43 questionnaires returned, data from 38 respondents representing 24 different countries were included. The study indicated that child psychiatrists in Europe and elsewhere outside the United States would use methylphenidate to treat 58% of ADHD patients, with their second choice being imipramine (18%), and 11% would not use medication. The investigators reported that one of the controversies that remained was the diagnosis and treatment of ADHD, as the prescription rates varied extremely from one country to another. In Italy, for example, the diagnosis of ADHD was rarely made and psychostimulants were rarely used. The authors concluded that the choice of medication was frequently restricted by lack of availability as well as by political or social attitudes (Simeon et al., 1995). 

Seventy-one facilities returned data to the Amino Acid Analysis Committee. One facility returned two sets of data for a total of seventy-two data sets. This year, 40 of the 72 analyses (56%) were performed using pre-colunm, as opposed to... 

The returned data was received as an activity concentration with a standard uncertainty and was subsequently converted into a deviation (in %) from the assigned NPL values. This deviation from the assigned values is given by ... 

The basic operation of the gaseous flow calorimeters is essentially identical to that of the flow-through solution-phase calorimeters with an external gas/vapour source that is passed, through a single calorimetric cell, across the solid of interest and the resulting heat change measured. For these instruments, the detectors are thermistors in direct contact with the solid under study. The form of the returned data is volts as a function of time. The signal can be converted to J s via a calibration constant. 

Table 7.24 gives the return data for the companies presented in this chapter. Merck in the pharmaceutical sector, Procter Gamble in the soap and cosmetics sector, and Du Pont in the chemicals sector are the leaders with respect to returns on assets and equity. 

Although the riskiness of a company depends on how investors view its future performance, company betas are estimated from the historic relationship of the company s stock to the overall stock market. The assumption is that the systematic riskiness of a company today is probably similar to its riskiness in the recent past. Betas for individual firms and for industries are computed, from stock market price and returns data available in several databases for publicly traded firms. 

According to the JCT, most of these companies did relatively little work in pharmaceuticals. These companies included manufacturers of medical devices, cosmetics, other chemical products, and nonpharmaceutical applications of biotechnology (297). OTA was unable to investigate the nature of these firms itself because confidentiality of tax return data precludes OTA from knowing the identity of firms included in the SOI database or the other information from the SOI database at the level of an individual firm. 

Table V. Investment/Return Data for All-Chemical Refineries ...

Each of these eUtils applications can return data in XML format for automatic parsing by a script or application. Most eUtil tools have the option to use an Entrez history key, which include a web-environment (WebEnv) and Entrez history item (query key) as arguments, as input or output. This enables Entrez history to store sets of identifiers temporarily, relieving the user s application of the burden of continually sending and receiving potentially large ID lists. The XML specification, in DTD form, for each eUtil tool can be found at the URL ... 

H3. Inability of the mission scientific investigators to use the returned data [A5]... 

Prior use assessment is the responsibility of an end user. However some manufacturers are working to help their customers in prior use evaluations by providing hiformation. Some manufacturers have had a third party assessment of the field failure records that exist for a device. Failures attributable to both hardware and software are considered. As part of this process an assessment must also be made of the field return data gathering procedures and the product modification process. 

Most commercial devices intended for use wim an IEEE-488 IB are combined talker-listeners, capable of receiving instructions, settmg me data collection mode and experimental conditions, and returning data to me controller. 

In addition to the various industries and uses identified for sonar and sound waves, the application of sonar helps to support and encourage research in a significant number of other industries and scientific fields. Power for sonar systems is vital, but space on ships or submarines is limited, so sonar development drives the pursuit of compact power sources. The effectiveness of the sonar depends on the power and focus of the beam produced by the transducer, which in turn promotes the exploration of more efficient and effective transmitting materials, as well as means of recognizing and collecting the return beam. The need for small computers to process the return data has created the demand for compact computer processors and data storage. 

By compiling all the returned data using all protocols into one preliminary analysis, it was found that MALDI-ms returned an of 6600 100 and an Mw of 6700 90. The imcertainty values following the represent only type A standard uncertainties (statistical uncertainty). These M and M obtained firom MALDI were below the M and M of the classical methods but still within the overlapping uncertainty ranges. The statistical uncertainty in the ms measurements was very small, indicating that from laboratory to laboratory, reproducibility was extremely good. 

For example, some manufacturers use field return data. While field return data may seem to provide a field failure rate, the techniques used by the manufacturer in collecting the data may be poor (e.g., the manufacturer may not track all shipments to the process industry sector or may not require that all devices be returned when failed.) Any process used to collect field return data should be documented, so that an evaluation of its effectiveness can be conducted. 

Some values to be assigned to the elements of some data structures are computed, usually by reference to other values already present. Every specification must therefore define a computational function to be optionally associated with each activity. Tliese functions must have a mathematically precise definition. The notion of data is prerequisite to tlie notion of , since functions accept data as input and/or return data as output. 

As the pressure transmitter XXX is supposed to be a proven in use device an assessment of hardware with additional prior use demonstration for the device and its software was carried out. The prior use investigation was based on field return data collected and analyzed by. .. manufacturer. This data cannot cover process connection. Prior-use justification for the process connection still needs to be done by end user (to make a note by reader)... 

Figure 13.14 An experimentally determined example of how the MDA improves as the volume of a Marinelli beaker increases, but with decreasing returns. Data refer to in aqueous solution and a 18.5 % detector...

Table 3. Statistical comparison between the simulated data from the estimated model and real log-return data set for three equities (SPX Index, CAC Index and DAX Index) for the Calm, Normal and Agitated ES periods.

Reliability prediction of electronic boards by analyzing field return data... 

The rapid developments in electronics, especially in the last decade, have initiated the inception of electronics reliability (O Connor Kleyner, 2011). Conventionally used accelerated reliability tests have lost their significance time consuming and expensive feature of these tests is against the demands of today s very rapid electronic product cycles (Pecht, 2010). This underlines the importance of using the product s field return data for reliability analysis that is relatively cheap and time saving (Kleyner Sandbom, 2004 Wu, 2012). In this study, we propose a complete reliability methodology exploiting field return data of electronic boards. 

Field return data can be used for variety of purposes that include the prediction of future claims, the estimation of field reliability, and the identification of opportunities for quality and reliability improvement. (O Connor Kleyner, 2011). If one assumes that the return data is error free then it is not difficult to claim that it is the most trustworthy data in analyzing reliability of a product compared to accelerated test or simulation based data. However, in reality field return data contains errors corresponding to improper, correlated, incomplete, and poorly collected data that result in misleading reliability predictions. In this study, we first deal with this problem. We propose a systematic approach to eliminate errors from field... 

The structure of this paper is as follows. In Section 2-Filtering, we describe the filtering procedure of field return data. In Section 3-Modeling, we work with the filtered data to develop our statistical model. Finally, Section 4 reports the conclusion of the work. 

In order to guarantee accuracy of the analysis and eliminate errors, field return data must be filtered. For this purpose, we use a step by step procedure. In the first step, we filter obvious errors from the whole data. We filter data having unknown assembly date, data with quality failure records that result in zero time to failure (TTF), and data with negative TTF or unreasonable TTF. 

In conclusion, we should filter the first 18 months of the field return data corresponding to hidden errors. In other words, the products assembled in the first 18 months have insufficient field return data with hidden errors. Note that if we just performed backward analysis, we would not find any hidden errors. This could also happen for only performing forward or 6-month analysis for a different case. However, with performing backward, forward, and 6-month analysis together, as suggested in this study, we consider all aspects of hidden errors. We have now 36 month field data to be safely used in statistical reliability modeling. 

---