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Acoustic backscatter measurements from littoral seabeds at shallow grazing angles at 4 and 8 kHz.

Direct measurement of acoustic scattering from the seabed at shallow grazing angles and low kilohertz frequencies presents a considerable challenge in littoral waters. Specifically, returns from the air-water interface typically contaminate the signals of interest. To address this issue, DRDC Atlantic has developed a sea-going research system for measuring acoustic scatter from the seabed in shallow-water environs. The system, known as the wideband sonar (WBS), consists of a parametric array transmitter and a superdirective receiver. In this paper, backscatter measurements obtained with the WBS at two sandy, shallow-water sites off North America's Atlantic coast are presented. Data were collected at 4 and 8 kHz at grazing angles from 3 degrees-15 degrees. The backscattering strength is similar at both sites and, below about 8 degrees, it appears to be independent of frequency within the statistical accuracy of the data. The measurements show reasonable agreement with model estimates of backscatter from sandy sediments. A small data set was collected at one of the sites to examine the feasibility of using the WBS to measure the azimuthal variability of acoustic scatter. The data set--although limited--indicates that the parametric array's narrow beamwidth makes the system well-suited to this task.

Journal Article↗

[Future development of the Japanese chemicals regulation data search system and the effective use of the IRPTC legal file].

After ten years of international cooperation in developing the IRPTC Legal File, its usefulness in searching for chemicals regulation data from abroad and in Japan was studied. The superiority of the database in offering summaries of the legal texts from 50 countries and 7 international organizations was obvious, but the need for improvements in the coverage and the accuracy of the data was found. The development of a Japanese database of legal information on chemicals based on international information exchange is desirable.

Data Collection↗

Risk assessment for biochemical recurrence prior to radical prostatectomy: significant enhancement contributed by human glandular kallikrein 2 (hK2) and free prostate specific antigen (PSA) in men with moderate PSA-elevation in serum.

Most models to predict biochemical recurrence (BCR) of prostate cancer use pretreatment serum prostate-specific antigen (PSA), clinical stage and prostate biopsy Gleason grade. We investigated whether human glandular kallikrein 2 (hK2) and free prostate-specific antigen (fPSA) measured in pretreatment serum enhance prediction. We retrospectively measured total PSA (tPSA), fPSA and hK2 in preoperative serum samples from 461 men with localized prostate cancer treated with radical prostatectomy between 1999 and 2001. We developed a regression model to predict BCR using preoperative tPSA, clinical stage and biopsy Gleason grade. We then compared the predictive accuracy of this "base" model with a model with fPSA and hK2 as additional predictors. BCR was observed in 90 patients (20%), including 48 patients with a pretreatment tPSA < or = 14 ng/ml (13%), and 28 patients (10%) with a pretreatment tPSA < or = 10 ng/ml. Overall, the predictive accuracy of the base model (bootstrap-corrected concordance index of 0.813) was not improved after the addition of fPSA or hK2 (0.818). However, for men with moderate tPSA-elevation (tPSA < or = 10 ng/ml), addition of fPSA and hK2 data increased predictive accuracy (from a base model concordance index of 0.756-0.815, p = 0.005). The improvement in accuracy was not sensitive to the threshold for "moderately elevated" PSA. For patients with a moderate tPSA-elevation (tPSA < or = 10 ng/ml), which closely corresponds to concurrent disease demographics, BCR-prediction was enhanced when fPSA and hK2 were added to the conventional model. Measurements of fPSA and hK2 improve on our ability to counsel patients prior to treatment as to their risk of BCR.

Aged↗

Protein side-chain dynamics observed by solution- and solid-state NMR: comparative analysis of methyl 2H relaxation data.

Rapid advances in solid-state MAS NMR made it possible to probe protein dynamics on a per-residue basis, similar to solution experiments. In this work we compare methyl 2H relaxation rates measured in the solid and liquid samples of alpha-spectrin SH3 domain. The solution data are treated using a model-free approach to separate the contributions from the overall molecular tumbling and fast internal motion. The latter part forms the basis for comparison with the solid-state data. Although the accuracy of solid-state measurements is limited by deuterium spin diffusion, the results suggest a significant similarity between methyl dynamics in the two samples. This is a potentially important observation, preparing the ground for combined analysis of the dynamics data by solid- and solution-state NMR.

Animals↗

Sampling frequencies and measurement error for linear and temporal gait parameters in primate locomotion.

Quantitative analyses of animal motion are increasingly easy to conduct using simple video equipment and relatively inexpensive software packages. With careful use, such analytical tools have the potential to quantify differences in movement between individuals or species and to allow insights into the behavioral consequences of morphological differences between taxa. However, as with any other type of measurement, there are errors associated with kinematic measurements. Because normative kinematic data on human and nonhuman primate locomotion are used to model aspects of gait of fossil hominins, errors in the extant data influence the accuracy of fossil gait reconstructions. The principal goal of this paper is to illustrate the effect of camera speeds (frame rates) on kinematic measurement errors, and to demonstrate how these errors vary with subject size, movement velocity, and sample size. Kinematic data for human walking and running (240 Hz), as well as data for primate quadrupedal walking and running (180 Hz) were used as inputs for a simulation of the measurement errors associated with various linear and temporal kinematic variables. Measurement errors were shown to increase as camera speed, subject body size, and interval duration all decrease, and as movement velocity increases. These results have implications for the methods used to calculate subject velocity and suggest that using a moving marker to measure the linear displacements of the body is preferable to the use of a stationary marker. Finally, while slower camera speeds will always result in higher measurement errors than do faster camera speeds, this effect can be moderated to some extent by collecting sufficiently large samples of data.

Animals↗

Validation of the Provincial Transfer Authorization Centre database: a comprehensive database containing records of all inter-facility patient transfers in the province of Ontario.

BACKGROUND: The Provincial Transfer Authorization Centre (PTAC) was established as a part of the emergency response in Ontario, Canada to the Severe Acute Respiratory Syndrome (SARS) outbreak in 2003. Prior to 2003, data relating to inter-facility patient transfers were not collected in a systematic manner. Then, in an emergency setting, a comprehensive database with a complex data collection process was established. For the first time in Ontario, population-based data for patient movement between healthcare facilities for a population of twelve million are available. The PTAC database stores all patient transfer data in a large database. There are few population-based patient transfer databases and the PTAC database is believed to be the largest example to house this novel dataset. A patient transfer database has also never been validated. This paper presents the validation of the PTAC database. METHODS: A random sample of 100 patient inter-facility transfer records was compared to the corresponding institutional patient records from the sending healthcare facilities. Measures of agreement, including sensitivity, were calculated for the 12 common data variables. RESULTS: Of the 100 randomly selected patient transfer records, 95 (95%) of the corresponding institutional patient records were located. Data variables in the categories patient demographics, facility identification and timing of transfer and reason and urgency of transfer had strong agreement levels. The 10 most commonly used data variables had accuracy rates that ranged from 85.3% to 100% and error rates ranging from 0 to 12.6%. These same variables had sensitivity values ranging from 0.87 to 1.0. CONCLUSION: The very high level of agreement between institutional patient records and the PTAC data for fields compared in this study supports the validity of the PTAC database. For the first time, a population-based patient transfer database has been established. Although it was created during an emergency situation and data collection is dependent on front-line medical workers, the PTAC data has achieved a high level of validity, perhaps even higher than many purpose built databases created during non-emergency settings.

Database Management Systems↗

Near-infrared spectroscopy for dairy management: measurement of unhomogenized milk composition.

The potential of near-infrared spectroscopy to measure fat, total protein, and lactose contents of unhomogenized milk was studied for use in dairy management, as a new tool for on-line milk analysis in the process of milking. Influence of the spectral region, sample thickness, and spectral data treatment on the accuracy of determination was investigated. Transmittance spectra of 258 milk samples, collected at different stages of the milking process, were obtained with a spectrophotometer (NIRSystems 6500; FOSS-NIRSystems, Silver Spring, MD) in the wavelength range from 400 to 2500 nm with sample thicknesses of 1 mm, 4 mm, and 10 mm. The spectral region and sample thickness were found to be significant factors for milk fat and total protein determination but not the lactose determination. The best accuracy was obtained with the 1100 to 2400 nm region, 1-mm sample thickness, and the first derivative data transformation. For the spectral region from 700 to 1100 nm, close accuracy was obtained for fat with a 10-mm sample and for total protein with a 1-mm sample thickness. The sample thickness did not change significantly the accuracy of lactose determination. Different treatments of spectral data did not improve the calibrations for fat and protein. For the region from 700 to 1100 nm, where inexpensive on-line sensors could be used, the highest positive coefficients for fat were at 930, 968, 990, 1026, 1076, and 1092 nm; for lactose were at 734, 750, 786, 812, 908, 974, 982, and 1064 nm; and for total protein were at 776, 880, 902, 952, and 1034 nm.

Animals↗

Syndromic surveillance: the effects of syndrome grouping on model accuracy and outbreak detection.

STUDY OBJECTIVE: Data used by syndromic surveillance systems must be grouped into syndromes or prodromes. Previous studies have examined the accuracy of different methods of syndromic grouping. We seek to study the effects of different syndrome grouping methods on model accuracy, a key factor in the outbreak-detection performance of syndromic surveillance systems. METHODS: Daily emergency department visit rates were analyzed from 2 urban academic tertiary care hospitals for 1,680 consecutive days. During this period, each hospital census totaled approximately 230,000 patient visits. Three methods were used to group the visits into a respiratory-related syndrome category: 1 relying on chief complaint, 1 on diagnostic codes, and 1 on a combination of the two. The different groupings of the syndromic data resulting from these methods were used to build different historical models that were then tested for forecasting accuracy and for sensitivity to detecting simulated outbreaks. RESULTS: For both hospitals, the data grouped according to chief complaints alone yielded the lowest model accuracy and the lowest detection sensitivity. Using diagnostic codes to group the data yielded better results in accuracy and sensitivity. Combining the 2 grouping methods yielded the best results in accuracy and sensitivity. Temporal smoothing of the data was shown to improve sensitivity in all cases, although to various degrees in the different models. CONCLUSION: The methods used to group input data into syndromic categories can have substantial effects on the overall performance of syndromic surveillance systems. The results suggest that incorporating diagnostic data into these systems can improve the modeling accuracy and its detection sensitivity. Furthermore, the best results may be achieved by using a combination of methods to group visits into syndromic categories.

Bioterrorism↗

Accuracy and validity of using medical claims data to identify episodes of hospitalizations in patients with COPD.

PURPOSE: In Quebec, MED-ECHO database can be used to estimate inhospital length of stay (LOS) and number of hospitalizations (NOH) both accurately and reliably. However, access to MED-ECHO database is time-consuming. Quebec medical claims database (RAMQ) can be used as an alternative source to estimate these measures. Considering MED-ECHO as the 'gold standard,' this study examined the validity of using RAMQ medical claims to estimate LOS and NOH. METHODS: We used a cohort of 3768 elderly patients with chronic obstructive pulmonary disease (COPD) between 1990 and 1996 and identified those with inhospital claims. Inhospital LOS was defined as the total number of days with inhospital claims. Various grace periods (1-15 days) between consecutive claims were considered for the estimation of LOS and NOH. RAMQ and MED-ECHO databases were linked using unique patient identifiers. Estimates obtained from RAMQ data were compared to those from MED-ECHO using various measures of central tendency and predictive error estimates. RESULTS: Overall, 32.7% of patients were hospitalized at least once during the study period based on RAMQ claims, as compared to 32.0% in MED-ECHO ( p-value = 0.51). The best estimates [mean (p-value)] were found to be those obtained when using a 7-day grace period. RAMQ versus MED-ECHO estimates were: 12.2 versus 13.5 days (< 0.001) for LOS and 3.6 versus 3.7 times (0.36) for NOH. CONCLUSIONS: RAMQ medical claims can be used as a reliable source to estimate LOS and NOH, particularly when time and resources are restricted. RAMQ, however, should be used with caution since slight underestimations may occur.

Age Factors↗

Accuracy of the National Polio Surveillance Project data in Rajasthan.

According to the National Polio Surveillance Project (NPSP) there were 15 polio cases in Rajasthan during 2000. Close scrutiny of the Line List of AFP cases shows that there were at least 58 polio cases, many cases had been wrongly classified. Cases of vaccine associated paralytic poliomyelitis (VAPP) and vaccine failure had been missed.

Child↗

Machine learning approaches for phenotype-genotype mapping: predicting heterozygous mutations in the CYP21B gene from steroid profiles.

OBJECTIVE: Non-linear relations between multiple biochemical parameters are the basis for the diagnosis of many diseases. Traditional linear analytical methods are not reliable predictors. Novel nonlinear techniques are increasingly used to improve the diagnostic accuracy of automated data interpretation. This has been exemplified in particular for the classification and diagnostic prediction of cancers based on expression profiling data. Our objective was to predict the genotype from complex biochemical data by comparing the performance of experienced clinicians to traditional linear analysis, and to novel non-linear analytical methods. DESIGN AND METHODS: As a model, we used a well-defined set of interconnected data consisting of unstimulated serum levels of steroid intermediates assessed in 54 subjects heterozygous for a mutation of the 21-hydroxylase gene (CYP21B) and in 43 healthy controls. RESULTS: The genetic alteration was predicted from the pattern of steroid levels with an accuracy of 39% by clinicians and of 64% by linear analysis. In contrast, non-linear analysis, such as self-organizing artificial neural networks, support vector machines, and nearest neighbour classifiers, allowed for higher accuracy up to 83%. CONCLUSIONS: The successful application of these non-linear adaptive methods to capture specific biochemical problems may have generalized implications for biochemical testing in many areas. Nonlinear analytical techniques such as neural networks, support vector machines, and nearest neighbour classifiers may serve as an important adjunct to the decision process of a human investigator not 'trained' in a specific complex clinical or laboratory setting and may aid them to classify the problem more directly.

Adult↗

The expanded racial and ethnic codes in the Medicare data files: their completeness of coverage and accuracy.

OBJECTIVES: This paper evaluates the new race/ethnicity codes for Asian Americans, Hispanics, and Native Americans that have recently been added to the Medicare enrollment database. METHODS: The race/ethnicity code revisions made by the Health Care Financing Administration are described and evaluated by (1) comparing the numbers of persons identified as Asian Americans, Hispanics, and Native Americans with corresponding population census projections and (2) determining whether Medicare enrollees born in Asian and Hispanic countries are assigned Asian and Hispanic codes. RESULTS: Among persons 65 years of age and older, approximately 24% of Hispanics, 17% of Native Americans, and 56% of Asian Americans are identifiable by the new codes. From 18% to 29% of enrollees 65 years old or older born in Mexico, Puerto Rico, and Cuba are coded as Hispanic, and from 14% to 73% of enrollees born in nine Asian countries are classified as Asian American. Classification is not random but is related to timing of migration and to country of origin. CONCLUSIONS: Researchers should resist the temptation to base analyses on the revised Health Care Financing Administration race/ethnicity codes, since coverage is incomplete and biased.

Adolescent↗

Viable spore counts in biological controls pre-sterilization.

The aim of the present study was to evaluate the total count of viable spores in standardized inoculated carriers pre-sterilization. Samples of "Bacterial Spore Sterilization Strip" (R Biological Laboratories) (well before their expiry date) were divided into Group A (B. subtilis) and Group B (B. stearothermophylus). Twenty-four strips were tested per group. The strips were minced in groups of three, placed in chilled sterile water and vortexed for 5 minutes to obtain a homogenous suspension. Ten ml of the homogenous suspension were transferred to two sterile jars, i.e. one jar per group. The samples were then heated in a water bath at 95 degrees C (Group A) or 80 degrees C (Group B) for 15 minutes and cooled rapidly in an ice bath at 0- 4 degrees C during 15 minutes. Successive dilutions were performed until a final aliquot of 30 to 300 colony-forming units (CFU) was obtained. The inoculums were placed in Petri dishes with culture medium (soy extract, casein agar adapted for spores, melted and cooled to 45-50 degrees C) and incubated at 55 degrees C or 37 degrees C. Statistical analysis of the data was performed. A larger number of spores were found at 48 hours than at 24 hours. However, this finding did not hold true for all the groups. The present results show that monitoring viable spores pre-sterilization would guarantee the accuracy of the data. Total spore counts must be within 50 and 300% of the number of spores indicated in the biological control. The procedure is essential to guarantee the efficacy of the biological control.

Bacillus subtilis↗