A Hierarchical Model and Analysis of Factors Affecting The Adoption of Timber as A Bridge Material

The Analytical Hierarchy Process was used to characterize the bridge material selection decisions of highway engineers and local highway officials across the United States. State Department of Transportation engineers, private consulting engineers, and local highway officials were personally interviewed in Mississippi, Virginia, Washington, and Wisconsin to identify how various factors determine their choice of a bridge material. The Analytical Hierarchy Process was used to quantify this subjective data and to model the selection decision for different groups of decision-makers. Prestressed concrete was the material of choice in the majority of cases. This was followed by reinforced concrete, steel, and timber. Local highway officials chose timber more often than did either group of engineers. These results indicate that timber will remain a niche market for bridge applications

Nondestructive Evaluation of Hardwood Logs Using Automated Interpretation of CT Images

Knowledge of internal defects within hardwood logs can be useful even prior to a log’s entry into the sawmill. It is in the log yard where the first important decisions are made about processing. First, based upon perceived quality, logs may be sorted as veneer logs or as high-quality sawlogs and sold to domestic veneer mills or for export. Second, roundwood may be bucked into smaller logs to isolate defect areas and to obtain sawlogs with longer sections of clear wood. And third, logs containing metal objects can be identified, thereby preventing headrig saw damage and costly mill down-time

Time Domain Ultrasonic Signal Characterization for Defects in Thin Unsurfaced Hardwood Lumber

One of the major users of thin, unsurfaced hardwood lumber is the pallet manufacturing industry. Almost all manufactured products spend part of their life cycle on a pallet during transportation. This makes pallets a critical component of both the transportation and manufacturing sectors of the economy. Many newly constructed wooden pallets, however, are not currently manufactured to deliver the best performance (strength, durability, and safety)—despite interest by pallet users and pallet manufacturers—because manual grading and sorting of parts is impractical due to processing speeds and volume, labor costs, and laborer skill. This paper describes initial work aiming to create an automated grading/sorting system for hardwood pallet parts using ultrasonic. Experiments were conducted on yellow-poplar (Liriodendron tulipifera, L.) and red oak (Quercus rubra, L.) deckboards using pressure-contact, rolling transducers in a pitch-catch arrangement. Sound and unsound knots, cross grain, bark pockets, holes, splits, and decay were characterized using six ultrasound variables calculated from the received waveforms. Our scanning system shows good data-collection repeatability, and scanning rate has little effect on the calculated variables. For each defect type, at least one ultrasonic variable demonstrated significant capability to discriminate between that defect and clear wood. Energy loss variables exhibited the greatest sensitivity to many defect types. Based on the empirical relationships identified in this study, we are now developing models to classify defects using ultrasonic signal characteristics. Scanning properties of the prototype apparatus suggest that it can readily be translated into a commercial product

Ultrasonic Inspection of Wooden Pallet Parts Using Time of Flight

Wooden pallets exceed furniture and other solid wood products as the largest single use of sawn hardwood logs in the USA. Most wooden pallets are constructed from two types of pallet parts (Figure 1): (1) stringers—the structural center members that support the pallet load and (2) deckboards—the top and bottom facing members that provide dimensional stability and product placement. There are many variants of this basic design, but most pallets contain solid wood components that are produced from lumber or from the center cant material of logs. Cant material has a high percentage of defect area and is generally not highly valuable for other solid wood products. Therefore, the pallet manufacturing industry must make use of low-quality raw materials and yet produce a product that remains in service for many trips

122Outcome of unrelated umbilical cord-blood transplants (UCBT) in pediatric patients: Experience of one center

This item contains two issues of the Take One newsletter: September 8, and 22, 1977.Take One was published every two weeks and focused on short news items and announcements "for the people of University Hospital.

Classifying Defects in Pallet Stringers by Ultrasonic Scanning

Detecting and classifying defects are required to grade and sort pallet parts. Use of quality parts can extend the life cycle of pallets and can reduce long-term cost. An investigation has been carried out to detect and classify defects in yellow-poplar (Liriodendron tulipifera, L.) and red oak (Quercus rubra, L.) stringers using ultrasonic scanning. Data were collected for sound and unsound knots, bark pockets, decay, holes, and wane using rolling transducers in a pitch-catch arrangement. Data from eight ultrasonic variables—energy, pulse length, time of flight (TOF)-amplitude, TOF-energy, TOF-centroid, energy value, energy pulse value, and peak frequency—were used to classify defects. Three different types of classifiers were used to categorize defects—a multi-layer perceptron network (MLP), a probabilistic neural network (PNN), and a k-nearest neighbor (KNN) classifier. Mean values for the energy variables demonstrated statistically significant differences between clear wood and defects and among defect types. Mean values for the TOF variables did not differ significantly between clear wood and knots. All three types of classifiers were able to distinguish defected from clear wood in oak with accuracies above 95%; accuracies for yellow-poplar were somewhat lower for the MLP and PNN classifiers. Among the defect classes, decay exhibited the highest recognition rate for both yellow-poplar and oak. Wane and holes in oak were readily confused owing to their common loss of transducer contact. Overall accuracy at the data-point level varied from 69-78%. Simple post-processing operations are expected to improve that substantially. Based on accuracy performance alone, the MLP and KNN appear equally preferable for this task

Tick-borne lymphadenopathy (TIBOLA) acquired in Southwestern Germany

<p>Abstract</p> <p>Background</p> <p>Tick-borne lymphadenopathy (TIBOLA) was first described in 1997 in a patient in France. The causative agent, <it>Rickettsia slovaca</it>, is transmitted by <it>Dermacentor </it>ticks.</p> <p>Case presentation</p> <p>In southwestern Germany we encountered a patient with a tick bite at the dorsal scalp that resulted in an eschar and nuchal lymphadenopathy. Additionally, fever, malaise as well as elevated inflammatory markers and transaminases occurred. The characteristic clinical picture along with positive antibody testing for rickettsiae of the tick-borne spotted fever group strongly suggest the diagnosis TIBOLA.</p> <p>Conclusion</p> <p>Human rickettsioses are emerging infections. Clinicians should be aware of TIBOLA as a newly described rickettsial disease. As in our case, TIBOLA may be encountered in regions/countries where <it>R. slovaca </it>and <it>Dermacentor </it>ticks are prevalent but autochthonous acquisition was not described before.</p

Galaxy and Cluster Biasing from Local Group Dynamics

Comparing the gravitational acceleration induced on the Local Group of galaxies by different tracers of the underline density field we estimate, within the linear gravitational instability theory and the linear biasing ansatz, their relative bias factors. Using optical SSRS2 galaxies, IRAS (PSCz) galaxies and Abell/ACO clusters, we find b_{O,I} ~ 1.21 +- 0.06 and b_{C,I} ~ 4.3 +- 0.8, in agreement with other recent studies. Finally, there is an excellent one-to-one correspondence of the PSCz and Abell/ACO cluster dipole profiles, once the latter is rescaled by b_{C,I}, out to at least ~150 h^{-1} Mpc.Comment: 7 pages, 5 figures, accepted for publication in MNRA