101 research outputs found
Courses of the Human Sublingual Artery
The purpose of the present study was to classify the courses of the human sublingual artery. For this purpose, the arteries supplying the floor of the mouth and the tongue were gross anatomically investigated, using 101 sides of 53 cadavers. The courses were divided into three categories: those passing medial or lateral to the hyoglossus (Categories M and L) and that piercing the mylohyoid (Category P), which were subdivided into five types. Category M had one type regarded as the usual type in which the lingual artery took the usual pattern of distribution. Categories L and P, in which the sublingual artery arose from the facial or submental artery, had the respective two types and were collectively regarded as the unusual type. Sixty-one and 36 of the 101 sides were of the usual and unusual types, respectively, the latter of which included 17 of Category L and 19 of Category P. The remaining four were variations of the lingual artery itself. On examining the types by gender, the usual type was more often found in females (75.6%), whereas the unusual type was more often found in males (48.1%). Bilateral occurrence of the same type was often found in both the usual type (77.4%) and the unusual type (65.0%). Existence of the sublingual artery branch significantly increased the thicknesses of the submental arteries.
The classification proposed here will conceivably contribute to safer dental implant surgery and more accurate interpretation of angiographic images of arteries in the floor of the mouth
FIR Ceramics Promote the Formation of Bone
Far infrared ray (FIR) energy radiated by the natural ceramics (Rhyolite) cooled FIR ceramics activates water molecules and blood circulation to stimulate skin and other tissues. The aim of our study is to make clear whether the FIR ceramics radiating FIR energy affect or not on the new bone formation in vivo and in vitro. Methods: MC3T3-E1 cells were cultured in FIR CO2 incubator. The cell proliferation and the gene expression were analyzed by using WST-8 assay kit, RT-PCR and micro array analysis. The enzyme activities were analyzed by using the apiRZYM kit. Furthermore, titanium and natural FIR ceramics compounds were implanted under the periosteium of rat skull bone by injection method. Four weeks later, the samples were examined by the light microscope and micro CT analyses. Results: Proliferation of MC3T3-E1 cell was and DNA concentrations were inhibited by FIR energy radiation. The ALP activities were accelerated and the area of calcification nodules increased on 4 weeks. The RT-PCR data showed that the gene Runx2, Osterix, BSP, OCN, Col1a1 and OPN expression of MC3T3-E1 osteoblast like cells was activated. Bone mineral density (BMD mg/cm²) of implanted sites of T50-F50, T25-F75 and F100 groups was significantly enhanced after 4 weeks compared with control groups. This data shows FIR energy radiation by the natural FIR ceramics promoted bone-forming activity of osteoblasts. Significance: This study suggested that new bioactive ceramics such us natural FIR ceramics was useful for some clinically applications to repair bone defects for example of dental implant surgery
Higher-order modulations in the skyrmion-lattice phase of CuOSeO
Using small angle neutron scattering, we have investigated higher-order peaks
in the skyrmion-lattice phase of CuOSeO, in which two different
skyrmion lattices, SkX1 and SkX2, are known to form. For each skyrmion-lattice
phase, we observed two sets of symmetrically inequivalent peaks at the
higher-order-reflection positions with the indices and . Under
the condition where the SkX1 and SkX2 coexist, we confirmed the absence of the
scattering at positions combining reflections from the two phases,
indicating a significantly weak double-scattering component. Detailed analysis
of the peak profile, as well as the temperature and magnetic-field dependence
of the peak intensity, also supports the intrinsic higher-order modulation
rather than the parasitic double scattering. The two higher-order modulations
show contrasting magnetic-field dependence; the former increases as the
field is increased, whereas the latter decreases. This indicates that,
in CuOSeO, skyrmions are weakly distorted, and the distortion is
field-dependent in a way that the dominant higher-order modulation switches
from to under field. Monte Carlo simulations under sweeping
external magnetic field qualitatively reproduce the observed magnetic-field
dependence, and suggests that the higher-order modulations correspond to the
superlattices of weak swirlings appearing in the middle of the original
triangular-latticed skyrmions.Comment: 13 pages, 14 figure
Glucose Metabolism in Cataractous Lens
Since the sorbitol pathway in the lens of a diabetic rat was discovered, the relation between cataract formation and aldose reductase has been studied. We measured glucose, sorbitol and fructose in the human cataractous lens by the gaschromatography. Additionally, we measured sugar and polyols in bovine, pig and rabbit lens. The ratio of sorbitol/glucose is high in rabbit, pig and bovine lens in order. In the human cataractous lens, glucose is increased in accordance with development of cataract. On the other hand, sorbitol content is high in the diabetic lens and low in the senile cataractous lens. The aldose reductase inhibitor may have beneficial effects in the prevention of diabetic cataract formation, but have not the therapeutic effect in the senile cataract
Task-adaptive physical reservoir computing
Reservoir computing is a neuromorphic architecture that may offer viable solutions to the growing energy costs of machine learning. In software-based machine learning, computing performance can be readily reconfigured to suit different computational tasks by tuning hyperparameters. This critical functionality is missing in 'physical' reservoir computing schemes that exploit nonlinear and history-dependent responses of physical systems for data processing. Here we overcome this issue with a 'task-adaptive' approach to physical reservoir computing. By leveraging a thermodynamical phase space to reconfigure key reservoir properties, we optimize computational performance across a diverse task set. We use the spin-wave spectra of the chiral magnet Cu2OSeO3 that hosts skyrmion, conical and helical magnetic phases, providing on-demand access to different computational reservoir responses. The task-adaptive approach is applicable to a wide variety of physical systems, which we show in other chiral magnets via above (and near) room-temperature demonstrations in Co8.5Zn8.5Mn3 (and FeGe)
Task-adaptive physical reservoir computing
Reservoir computing is a neuromorphic architecture that potentially offers
viable solutions to the growing energy costs of machine learning. In
software-based machine learning, neural network properties and performance can
be readily reconfigured to suit different computational tasks by changing
hyperparameters. This critical functionality is missing in ``physical"
reservoir computing schemes that exploit nonlinear and history-dependent memory
responses of physical systems for data processing. Here, we experimentally
present a `task-adaptive' approach to physical reservoir computing, capable of
reconfiguring key reservoir properties (nonlinearity, memory-capacity and
complexity) to optimise computational performance across a broad range of
tasks. As a model case of this, we use the temperature and magnetic-field
controlled spin-wave response of CuOSeO that hosts skyrmion, conical
and helical magnetic phases, providing on-demand access to a host of different
physical reservoir responses. We quantify phase-tunable reservoir performance,
characterise their properties and discuss the correlation between these in
physical reservoirs. This task-adaptive approach overcomes key prior
limitations of physical reservoirs, opening opportunities to apply
thermodynamically stable and metastable phase control across a wide variety of
physical reservoir systems, as we show its transferable nature using
above(near)-room-temperature demonstration with CoZnMn
(FeGe).Comment: Main manuscript: 14 pages, 5 figures. Supplementary materials: 13
pages, 10 figure
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