We have established a method for obtaining an enriched preparation of functionally active osteoclast-like multinucleated cells (enriched OCLs) from co-cultures mouse primary osteoblasts and bone marrow cells. Using these OCLs, the effect osteoblastic on osteoclast function was examined in two assays: pit formation assay actin ring formation. The OCLs cultured 24 h dentine slices formed only few resorption pits. When various numbers were added to areas pits increased proportionally number...

We have established a method for obtaining an enriched preparation of functionally active osteoclast-like multinucleated cells (enriched OCLs) from co-cultures mouse primary osteoblasts and bone marrow cells. Using these OCLs, the effect osteoblastic on osteoclast function was examined in two assays: pit formation assay actin ring formation. The OCLs cultured 24 h dentine slices formed only few resorption pits. When various numbers were added to areas pits increased proportionally number...

Off-flavors in beer and brewing materials were identified. When the concentration of flavor component was high, abnormal peaks detected on gas chromatogram. an off-flavor by tasting, putative analyzed chromatography mass spectrometry (GC-MS). low could not be determined directly peak located GC olfactometry then identified GC-MS. Beer contains many volatile components, so it is difficult to locate minor components chromatograms olfactometry. The multidimensional Using these techniques,...

We introduce a new model for describing word frequency distributions in documents automatic text classification tasks. In the model, gamma-Poisson probability distribution is used to achieve better modeling. The framework of modeling and its application categorization are demonstrated with practical techniques parameter estimation vector normalization. To investigate efficiency our experiments were performed on 20 Newsgroups, Reuters-21578, Industry Sector, TechTC-100 datasets. results show...

Objective This is the first description of long-term follow-up a case Freeman-Sheldon syndrome. Microstomia was treated with mouth expander for 2 to 3 hours per day before active orthodontic treatment. Separate impressions were necessary in each quadrant both upper and lower jaws because limited opening. Conclusion Orthodontic treatment improved patient's Class II malocclusion, which accompanied by crowding deep bite.

Although the Poisson distribution and two well-known mixtures (the negative binomial K-mixture distributions) have been utilized as tools for modeling texts over last 15 years, application of these distributions to build generative probabilistic text classifiers has rarely reported therefore available information on applying such models classification remains fragmentary even contradictory. In this study, we construct with three perform experiments standard datasets in a uniform manner...

In this study, we regard written texts as time series data and try to investigate dynamic correlations of word occurrences by utilizing an autocorrelation function (ACF). After defining appropriate formula for the ACF that is suitable expressing words, use calculate ACFs frequent words in 12 books. The obtained can be classified into two groups: One group shows correlations, with these well described a modified Kohlrausch-Williams-Watts (KWW) function; other no fitted simple stepdown...

Abstract In previous studies, we have treated real written texts as time series data and tried to investigate dynamic correlations of word occurrences by utilizing autocorrelation functions (ACFs) also simulation pseudo-text synthesis. The results showed that words appear in can be classified into two groups: a group showing (Type-I words), no (Type-II words). this study, the characteristics these types terms their waiting distributions (WTDs) occurrences. for Type-II show stochastic...

In a previous study, we introduced dynamical aspects of written texts by regarding serial sentence number from the first to last given text as discretized time. Using this definition textual timeline, defined an autocorrelation function (ACF) for word occurrences and demonstrated its utility both representing dynamic correlations measuring importance within text. seek stochastic process governing having strong correlations. This is valuable because words exhibiting play central role in...

Medical data consist of many kinds from different resources, such as natural language data, sound physical examinations, numerical laboratory time-series monitoring systems, and medical images (e.g. X-ray, Computer Tomography, Magnetic Resonance Image). Therefore it has been pointed out that databases should be implemented multidatabases. However, there have few systems which integrate these into In this paper, we report a system called COBRA (Computer-Operated Birth-defect Recognition Aid),...

It has been clarified that words in written texts are classified into two groups called Type-I and Type-II words. The exhibit long-range dynamic correlations while the do not show any type of correlations. Although stochastic process yielding to be a superposition Poisson point processes with various intensities, there is no definitive model for In this study, we introduce Hawkes process, which known as kind self-exciting candidate governs words; i.e., purpose study establish useful...