20,122 research outputs found
Subject-specific finite element modelling of the human hand complex : muscle-driven simulations and experimental validation
This paper aims to develop and validate a subject-specific framework for modelling the human hand. This was achieved by combining medical image-based finite element modelling, individualized muscle force and kinematic measurements. Firstly, a subject-specific human hand finite element (FE) model was developed. The geometries of the phalanges, carpal bones, wrist bones, ligaments, tendons, subcutaneous tissue and skin were all included. The material properties were derived from in-vivo and in-vitro experiment results available in the literature. The boundary and loading conditions were defined based on the kinematic data and muscle forces of a specific subject captured from the in-vivo grasping tests. The predicted contact pressure and contact area were in good agreement with the in-vivo test results of the same subject, with the relative errors for the contact pressures all being below 20%. Finally, sensitivity analysis was performed to investigate the effects of important modelling parameters on the predictions. The results showed that contact pressure and area were sensitive to the material properties and muscle forces. This FE human hand model can be used to make a detailed and quantitative evaluation into biomechanical and neurophysiological aspects of human hand contact during daily perception and manipulation. The findings can be applied to the design of the bionic hands or neuro-prosthetics in the future
Possibility of Unconventional Pairing Due to Coulomb Interaction in Fe-Based Pnictide Superconductors: Perturbative Analysis of Multi-Band Hubbard Models
Possibility of unconventional pairing due to Coulomb interaction in
iron-pnictide superconductors is studied by applying a perturbative approach to
realistic 2- and 5-band Hubbard models. The linearized Eliashberg equation is
solved by expanding the effective pairing interaction perturbatively up to
third order in the on-site Coulomb integrals. The numerical results for the
5-band model suggest that the eigenvalues of the Eliashberg equation are
sufficiently large to explain the actual high Tc for realistic values of
Coulomb interaction and the most probable pairing state is spin-singlet s-wave
without any nodes just on the Fermi surfaces, although the superconducting
order parameter changes its sign between the small Fermi pockets. On the other
hand the 2-band model is quite insufficient to explain the actual high Tc.Comment: 2 pages, 3 figures. Proceedings of the Intl. Symposium on
Fe-Oxypnictide Superconductors (Tokyo, 28-29th June 2008
A survey on composition and microbiota of fresh and fermented yak milk at different Tibetan altitudes
Yak milk is a type of milk that people are less familiar with due to its remote geographical location, the particular geographical environment and climatic conditions in Tibet, which may have significant effects on composition, microbiota and fermentation outcome. To investigate the chemical composition and microbiota of fresh and fermented yak milk, and to isolate and characterize the predominant microorganisms in the fermented milk, yak milk (24 fresh and 30 fermented milk samples) was collected from four areas of different altitudes in Tibet, and their microbiological profile and chemical composition were investigated. Yak milk had a higher fat, crude protein, lactose and dry matter content than cow milk. The fermented yak milk showed a great diversity in fat and dry matter levels due to the different ways of processing in different localities, and lower pH and higher lactic acid content compared with commercial cow milk yogurt. Fermented yak milk had a better sanitary quality than fresh yak milk. Three species of lactobacilli (Lactobacillus fermentum, Lactobacillus helveticus and Lactobacillus curvatus) and five species of yeast (Saccharomyces cerevisiae, Candida kefyr, Candida lambica, Candida famat and Candida holmii) were identified phenotypically and encountered as predominant fermentation microbiota. The predominant lactic species in fermented milk was L. fermentu
Competition between the BCS superconductivity and ferromagnetic spin fluctuations in MgCNi
The low temperature specific heat of the superconductor MgCNi and a
non-superconductor MgCNi is investigated in detail. An additional
contribution is observed from the data of MgCNi but absent in
MgCNi, which is demonstrated to be insensitive to the applied
magnetic field even up to 12 Tesla. A detailed discussion on its origin is then
presented. By subtracting this additional contribution, the zero field specific
heat of MgCNi can be well described by the BCS theory with the gap ratio
() determined by the previous tunneling measurements. The
conventional s-wave pairing state is further proved by the magnetic field
dependence of the specific heat at low temperatures and the behavior of the
upper critical field.Comment: To appear in Physical Review B, 6 pages, 7 figure
Evidence for Two Gaps and Breakdown of the Uemura Plot in BaKFeAs Single Crystals
We report a detailed investigation on the lower critical field of
the superconducting BaKFeAs (FeAs-122) single crystals.
A pronounced kink is observed on the curve, which is attributed to
the existence of two superconducting gaps. By fitting the data to
the two-gap BCS model in full temperature region, a small gap of
meV and a large gap of meV
are obtained. The in-plane penetration depth is estimated to
be 105 nm corresponding to a rather large superfluid density, which points to
the breakdown of the Uemura plot in FeAs-122 superconductors.Comment: 5 pages, 4 figure
Mixed Information Flow for Cross-domain Sequential Recommendations
Cross-domain sequential recommendation is the task of predict the next item
that the user is most likely to interact with based on past sequential behavior
from multiple domains. One of the key challenges in cross-domain sequential
recommendation is to grasp and transfer the flow of information from multiple
domains so as to promote recommendations in all domains. Previous studies have
investigated the flow of behavioral information by exploring the connection
between items from different domains. The flow of knowledge (i.e., the
connection between knowledge from different domains) has so far been neglected.
In this paper, we propose a mixed information flow network for cross-domain
sequential recommendation to consider both the flow of behavioral information
and the flow of knowledge by incorporating a behavior transfer unit and a
knowledge transfer unit. The proposed mixed information flow network is able to
decide when cross-domain information should be used and, if so, which
cross-domain information should be used to enrich the sequence representation
according to users' current preferences. Extensive experiments conducted on
four e-commerce datasets demonstrate that mixed information flow network is
able to further improve recommendation performance in different domains by
modeling mixed information flow.Comment: 26 pages, 6 figures, TKDD journal, 7 co-author
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