1,498 research outputs found
Active suspensions: a reduced-order H∞ control design study
This paper studies order reduction issues for a vehicle active suspension system throughout its modelling, H-infinity controller design and controller refinement. Computer simulations demonstrate that an H-infinity controller for a full active suspension can be significantly reduced to nearly one third of its full order, while the active suspension performance is only slightly degraded. As a by-product, this paper also provides an explicit algorithm for reduced H-infinity control for singular and non-singular continuous-time systems
La plaza de mercado como Noduarticulador : espacio intermodal, la Mesa - Cundinamarca
The paper studies the utilisation of model reduction
techniques, both physical-based and mathematicalbased,
in designing simplified LQG optimal tilt controllers
to improve the curving performance of railway coaches at
increased running speed. The schemes make exclusive use
of local practical signal measurements, i.e. sensors mounted
on the current passenger coach. The fundamental problem
related with straightforward classical nulling-feedback control
is presented, while the commercially-used command-driven with
precedence scheme is introduced. A combination of simulation
results and, a recently proposed, tilt control system assessment
method are employed for assessing the performance of the
designed LQG controller
Progress in electrolyte-free fuel cells
Solid oxide fuel cell (SOFC) represents a clean electrochemical energy conversion technology with characteristics of high conversion efficiency and low emissions. It is one of the most important new energy technologies in the future. However, the manufacture of SOFCs based on the structure of anode/electrolyte/cathode is complicated and time-consuming. Thus, the cost for the entire fabrication and technology is too high to be affordable, and challenges still hinder commercialization. Recently, a novel type of electrolyte-free fuel cell (EFFC) with single component was invented, which could be the potential candidate for the next generation of advanced fuel cells. This paper briefly introduces the EFFC, working principle, performance, and advantages with updated research progress. A number of key R&D issues about EFFCs have been addressed, and future opportunities and challenges are discussed
Case Studies of Environmental Visualization
The performance gap between simulation and reality has been identified as a major challenge to achieving sustainability in the Built Environment. While Post-Occupancy Evaluation (POE) surveys are an integral part of better understanding building performance, and thus addressing this issue, the importance of POE remains relatively unacknowledged within the wider Built Environment community. A possible reason that has been highlighted is that POE survey data is not easily understood and utilizable by non-expert stakeholders, including designers. A potential method by which to address this is the visualization method, which has well established benefits for communication of big datasets. This paper presents two case studies where EnViz (short for “Environmental Visualization”), a prototype software application developed for research purposes, was utilized and its effectiveness tested via a range of analysis tasks. The results are discussed and compared with those of previous work that utilized variations of the methods presented here. The paper concludes by presenting the lessons drawn from the five-year period of EnViz, emphasizing the potential of environmental visualization for decision support in environmental design and engineering for the built environment, and suggests directions for future development
第831回千葉医学会例会・第15回千葉大学放射線医学教室例会
Figure S2. All a-DMRs within (1) genomic location. Top: a-DMRs (purple), gene, DHS clusters, transcription factor ChIP-seq, ChromHMM segmentation, combined segmentation and conservation; and (2) scatterplot: x-axis = Age, y-axis = Normalised methylation. (PDF 34909 kb
10.ペースメーカー移植術の経験(第609回千葉医学会例会・第1外科教室談話会)
Five supporting tables. A table caption of each is given within the file. (XLSX 84 kb
Práticas de literacia familiar em benguela (angola): Um estudo exploratório.
As investigações mostram que a aprendizagem da linguagem escrita começa muito
antes do ensino formal e que as práticas e o ambiente de literacia familiar influenciam a literacia
emergente e o desenvolvimento da linguagem escrita. Mas, se estes estudos são desenvolvidos no
Ocidente, em África pouco se tem feito e em Angola não se conhece nenhum estudo. Com base nos
estudos existentes, em diversos contextos culturais, verifica-se que a literacia familiar existe,
podendo as práticas variar no tipo e frequência uma vez que o que se passa num contexto, pode não
ser igual ao que se passa noutra realidade cultural diferente. Neste sentido este trabalho, procura
caraterizar as práticas e o ambiente familiar de literacia em 11 famílias de Benguela com um filho a
frequentar o início da escolaridade. Os dados foram recolhidos através de uma entrevista informal
aos pais. Os resultados mostram que as práticas de literacia familiar são essencialmente práticas
formais, muito ligadas à escola e às tarefas escolares. No mesmo sentido verificámos que a
responsabilidade pela aprendizagem da linguagem escrita é atribuída à escola, e a explicadores.
Apesar de surgirem algumas referências do uso da literacia associado a práticas religiosas, poucas
referências foram feitas a práticas informais ou lúdicas. Foi clara a quase inexistência de materiais
de leitura (jornais, livros, revistas) para além dos escolares. A falta de tempo, a escassez de
bibliotecas públicas e livrarias, a falta dos recursos financeiras para aquisição do material de literacia
e a iliteracia foram apontados como obstáculos para o desenvolvimento de outro tipo de práticasinfo:eu-repo/semantics/publishedVersio
Chitooligosaccharides prevent osteopenia by promoting bone formation and suppressing bone resorption in ovariectomised rats: possible involvement of COX-2
<div><p>Chitooligosaccharides (CHOS) added in diet have been found as potent calcium fortifiers in conditions of Ca<sup>2+</sup> deficiency such as osteoporosis. In this study, we found that pharmaceutical intervention using CHOS prevented ovariectomy (OVX)-induced bone mineral density loss and the deterioration of trabecular microarchitecture in a dose-dependent manner (<i>p</i> < 0.05 or 0.01). CHOS (125, 250 mg/kg) suppressed the serum levels of bone resorption biomarkers CTx and TRACP5b induced by OVX (<i>p</i> < 0.05), but increased the levels of osteogenic markers ALP and OC by 11.3–11.6% and 10.7–15.2% of OVX group (<i>p</i> < 0.05), suggesting the exact pharmacological action of CHOS in the control of osteoporosis which may be the result of both promoting bone formation and suppressing bone resorption. Bone turnover-modulating effects of CHOS appear related to their anti-inflammatory capacity to down-regulate mRNA and protein expression of COX-2 (17.2–32.2% and 16.4–21.9% of OVX group, <i>p</i> < 0.05 or 0.01), a key mediator linking between inflammation and osteoporosis.</p></div
Assay of Genome-Wide Transcriptome and Secreted Proteins on the Same Single Immune Cells by Microfluidics and RNA Sequencing
Given
vast heterogeneity of immune cells, searching for gene expression
and transcriptional networks belonging to specific cellular functions
such as cytokine production has been challenging. To overcome this
limitation, we developed a splittable single-cell microchip that integrates
a high-density antibody array for cytokine protein detection, while
the same single cells with protein profiles can be subsequently sequenced
to obtain the genome-wide transcriptome. Combined with bioinformatics
algorithms, we discovered a subgroup of highly coexpressed genes correlating
with TNFα secretion in mouse macrophage cells. This technology
and the data analysis may lead to an unprecedented understanding of
regulation mechanisms of the immune system and have the potential
to impact disease treatment and drug discovery
Neurodynamic approaches to cardinality-constrained portfolio optimization
This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly.</p
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