Chemicals showing no evidence of carcinogenicity in long-term, two-species rodent studies: The need for short-term test data

1984 ◽  
Vol 6 (6) ◽  
pp. 871-878 ◽  
Author(s):  
Michael D. Shelby ◽  
Stanley Stasiewicz
Keyword(s):  
2019 ◽  
Vol 56 (4) ◽  
pp. 461-472 ◽  
Author(s):  
Ivana Anusic ◽  
Barry M. Lehane ◽  
Gudmund R. Eiksund ◽  
Morten A. Liingaard

The paper presents results from a new series of tests on displacement piles in sand, involving different installation modes, and combines these with results from previous tests at the same site as well as with test data at two other well-investigated sand sites to provide fresh insights into factors affecting “short-term” capacity and set-up of shaft friction. It is shown that the shaft capacity measured shortly after installation reduces systematically with the logarithm of the number of impact blows or jacking increments per unit shaft area imparted during installation. However, the degree of set-up of shaft friction for piles increases with an increase in the number of blows, and piles installed using a large number of blows can attain highest “long-term” shaft capacities, despite having the lowest short-term capacity. The tests indicated that the driving impact frequency had a relatively small influence on shaft friction, while piles installed by vibration attain short-term capacities comparable to driven impact piles, but showed negative set-up.


2014 ◽  
Vol 67 (1) ◽  
Author(s):  
Nik Mohd Rahimi ◽  
Zahriah Hussin ◽  
Wan Normeza

Many Arabic language books use semantic clustering in presenting their vocabularies. However, some language experts suggest the use of semantically unrelated clustering due to a higher contribution in memorizing vocabularies among students. This study aims to investigate on which clustering has a higher contribution in memorizing vocabularies among students. The specific objectives of this study are; (a) to identify the level of students’ achievement in memorizing vocabularies using both techniques in a long-term test and a short-term test; and (b) to identify students’ achievement differences using both techniques in both tests. This study is a quasi-experimental study which using a short term and a long term post-test. This group of students was exposed to vocabularies using semantic clustering and semantically unrelated clustering. The short term post test was administered after the students were exposed with both techniques, while the long term post-test was used after seven days of the exposure. This study found that students’ achievement using semantic clustering was moderate for both tests. Meanwhile, students’ achievement using semantically unrelated clustering was very good in the short term test and good in the long term test. On the other hand, the t-test analysis showed that there are significant differences between both techniques, which students’ achievement using semantically unrelated clustering is statistically and significantly higher than students’ achievement using semantic clustering for both short and long term post-tests. Therefore, this study suggests that the semantically unrelated clustering technique needs to be used in learning Arabic vocabularies among students. 


1993 ◽  
Vol 2 (5) ◽  
pp. 096369359300200
Author(s):  
A Yoosefinejad ◽  
P J Hogg

A new test method is presented that is considered suitable for measuring the long term mechanical properties of composites loaded in shear. The test method is assessed for its reproducibility and accuracy and compared to conventional Iosipescu tests for short term test results. Some initial test data for long term shear creep are also presented


2020 ◽  
Vol 15 (7) ◽  
pp. 799-809
Author(s):  
Yuanfei Xue

Sensor tracking technology has broad prospects of application in the fields of smart home and environmental protection. The passive motion tracking method of sensor networks can realize the perception of location, temperature and other information without carrying sensor nodes. A sparse network tracking system based on infrared sensor nodes is proposed in this study, which can control the running automobiles with unmanned navigation. On the basis of the theory of diffraction, the way of spreading for wireless received signal strength (RSS) can be divided into "scattered waves" and "diffracted waves," which can be regarded as two components of infrared sensing wireless signals so as to further propose the RSS indicators of "long-term testing value" and "short-term test value." Based on these indicators, a measurement model based on diffraction effects and scattering effects is proposed, and an improved particle filter algorithm is used to update the motion tracking. The hardware design of each module in an unmanned vehicle includes the main controller, tracking circuit, serial port circuit, motor control circuit and infrared sensor control circuit of the car. In the experiment, the measurement accuracy of the tracking system based on the sparse infrared photoelectric sensor was first tested. In the simulation experiment, the long-term test value, the short-term test value and the actual measurement value were compared respectively. The test results show that the theoretical RSS value and the actual test result can be matched. Moreover, the infrared photoelectric tracking system is used to design the navigation control system of unmanned cars, helping the car to drive automatically through obstacle avoidance test and tracking obstacle avoidance test.


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