Quantitative sensory testing has become a common approach to evaluate thermal and vibratory thresholds in various types of neuropathies. To understand the effect of aging on sensory perception, we measured warm, cold, and vibratory thresholds by performing quantitative sensory testing on a population of 484 normal subjects (175 males and 309 females), aged 48.61 +/- 14.10 (range 20-86) years. Sensory thresholds of the hand and foot were measured with two algorithms: the method of limits (Limits) and the method of level (Level). Thresholds measured by Limits are reaction-time-dependent, while those measured by Level are independent of reaction time. In addition, we explored (1) the correlations of thresholds between these two algorithms, (2) the effect of age on differences in thresholds between algorithms, and (3) differences in sensory thresholds between the two test sites. Age was consistently and significantly correlated with sensory thresholds of all tested modalities measured by both algorithms on multivariate regression analysis compared with other factors, including gender, body height, body weight, and body mass index. When thresholds were plotted against age, slopes differed between sensory thresholds of the hand and those of the foot: for the foot, slopes were steeper compared with those for the hand for each sensory modality. Sensory thresholds of both test sites measured by Level were highly correlated with those measured by Limits, and thresholds measured by Limits were higher than those measured by Level. Differences in sensory thresholds between the two algorithms were also correlated with age: thresholds of the foot were higher than those of the hand for each sensory modality. This difference in thresholds (measured with both Level and Limits) between the hand and foot was also correlated with age. These findings suggest that age is the most significant factor in determining sensory thresholds compared with the other factors of gender and anthropometric parameters, and this provides a foundation for investigating the neurobiologic significance of aging on the processing of sensory stimuli.
Indium tin oxide ͑ITO͒ thin films have been proposed as diffusion barriers for ultralarge scale integrated microelectronic devices. High-resolution transmission electron microscopy and electron diffraction showed that in the Cu/ITO/Si film, the 10 nm thick nanocrystalline ITO film layer works effectively as a barrier. Transmission electron microscopy, scanning electron microscopy, sheet resistance measurement, X-ray diffraction, and energy dispersive spectroscopy analyses revealed that ITO was found to be a good diffusion barrier against Cu at least up to 650°C. The failure temperature of ITO films diffusion barrier ͑10 nm͒ was 700°C. Our results show that ITO film can be considered as diffusion barriers for Cu metallization.
Neurotrophins are target-derived trophic factors essential for the survival and maintenance of neurons. Among these, nerve growth factor (NGF) and neurotrophin-3 (NT-3) are particularly important for sensory neurons. The actions of neurotrophins are through the p75 low-affinity receptor and the high-affinity receptor tyrosine kinase (trk). Each neurotrophin has its preferred receptor, i.e. trkA for NGF, and trkC for NT-3. The primary sensory neurons in the dorsal root ganglion are classified into two categories, namely, the large and small sensory neurons based on their size. The large sensory neurons with the expression of trkC depend on NT-3 for development and subserve the function of position sensations. Some of the small sensory neurons express trkA and are NGF-dependent. They are responsible for nociceptive sensation, the detection of painful and thermal stimuli. A more intriguing observation is the bidirectional interactions between nociceptive nerves and their target, the skin. The peripheral processes of small sensory neurons innervate the epidermis of the skin as 'free nerve endings'. In denervated skin, there is a drastic reduction in the epidermal thickness, a finding corroborated by the phenomenon of trophic change, the shining and thinning of the skin, in the disorders of peripheral nerves. The performance of animals with peripheral nerve disorders improved after administration of neurotrophic factors. Based on these results, the therapeutic potentials of neurotrophic factors in human are under investigation.
In this paper, we classify the breast cancer of medical diagnostic data. Information gain has been adapted for feature selections. Neural fuzzy (NF), k-nearest neighbor (KNN), quadratic classifier (QC), each single model scheme as well as their associated, ensemble ones have been developed for classifications. In addition, a combined ensemble model with these three schemes has been constructed for further validations. The experimental results indicate that the ensemble learning performs better than individual single ones. Moreover, the combined ensemble model illustrates the highest accuracy of classifications for the breast cancer among all models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.