A new battery-charging method suggested by molecular dynamics simulations

Based on large-scale molecular dynamics simulations, we propose a new charging method that should be capable of charging a Lithium-ion battery in a fraction of the time needed when using traditional methods. This charging method uses an additional applied oscillatory electric field. Our simulation results show that this charging method offers a great reduction in the average intercalation time for Li+ ions, which dominates the charging time. The oscillating field not only increases the diffusion rate of Li+ ions in the electrolyte but, more importantly, also enhances intercalation by lowering the corresponding overall energy barrier.Comment: 11 pages, 5 figure

S=1/2 chains and spin-Peierls transition in TiOCl

We study TiOCl as an example of an S=1/2 layered Mott insulator. From our analysis of new susceptibility data, combined with LDA and LDA+U band structure calculations, we conclude that orbital ordering produces quasi-one-dimensional spin chains and that TiOCl is a new example of Heisenberg-chains which undergo a spin-Peierls transition. The energy scale is an order of magnitude larger than that of previously known examples. The effects of non-magnetic Sc impurities are explained using a model of broken finite chains.Comment: 5 pages, 5 figures (color); details on crystal growth added; to be published in Phys. Rev.

Anomalously large oxygen-ordering contribution to the thermal expansion of untwinned YBa2Cu3O6.95 single crystals: a glass-like transition near room temperature

We present high-resolution capacitance dilatometry studies from 5 - 500 K of untwinned YBa2Cu3Ox (Y123) single crystals for x ~ 6.95 and x = 7.0. Large contributions to the thermal expansivities due to O-ordering are found for x ~ 6.95, which disappear below a kinetic glass-like transition near room temperature. The kinetics at this glass transition is governed by an energy barrier of 0.98 +- 0.07 eV, in very good agreement with other O-ordering studies. Using thermodynamic arguments, we show that O-ordering in the Y123 system is particularly sensitive to uniaxial pressure (stress) along the chain axis and that the lack of well-ordered chains in Nd123 and La123 is most likely a consequence of a chemical-pressure effect.Comment: 4 pages, 3 figures, submitted to PR

Examining smoking-induced differential gene expression changes in buccal mucosa

<p>Abstract</p> <p>Background</p> <p>Gene expression changes resulting from conditions such as disease, environmental stimuli, and drug use, can be monitored in the blood. However, a less invasive method of sample collection is of interest because of the discomfort and specialized personnel necessary for blood sampling especially if multiple samples are being collected. Buccal mucosa cells are easily collected and may be an alternative sample material for biomarker testing. A limited number of studies, primarily in the smoker/oral cancer literature, address this tissue's efficacy as an RNA source for expression analysis. The current study was undertaken to determine if total RNA isolated from buccal mucosa could be used as an alternative tissue source to assay relative gene expression.</p> <p>Methods</p> <p>Total RNA was isolated from swabs, reverse transcribed and amplified. The amplified cDNA was used in RT-qPCR and microarray analyses to evaluate gene expression in buccal cells. Initially, RT-qPCR was used to assess relative transcript levels of four genes from whole blood and buccal cells collected from the same seven individuals, concurrently. Second, buccal cell RNA was used for microarray-based differential gene expression studies by comparing gene expression between a group of female smokers and nonsmokers.</p> <p>Results</p> <p>An amplification protocol allowed use of less buccal cell total RNA (50 ng) than had been reported previously with human microarrays. Total RNA isolated from buccal cells was degraded but was of sufficient quality to be used with RT-qPCR to detect expression of specific genes. We report here the finding of a small number of statistically significant differentially expressed genes between smokers and nonsmokers, using buccal cells as starting material. Gene Set Enrichment Analysis confirmed that these genes had a similar expression pattern to results from another study.</p> <p>Conclusions</p> <p>Our results suggest that despite a high degree of degradation, RNA from buccal cells from cheek mucosa could be used to detect differential gene expression between smokers and nonsmokers. However the RNA degradation, increase in sample variability and microarray failure rate show that buccal samples should be used with caution as source material in expression studies.</p

High morbid-mortability and reduced level of osteoporosis diagnosis among elderly people who had hip fractures in São Paulo City

OBJECTIVE: To know the morbid-mortality following an osteoporotic hip fracture in elderly patients living in São Paulo. PATIENTS AND METHODS: This study evaluated prospectively all patient over 60 years admitted in 2 school-hospitals in the city of São Paulo in a following 6-month period due to a osteoporotic proximal femur fracture. All of them filled up the Health Assessment Questionnaire (HAQ) and had their chart reviewed. After 6 months they were re-interviewed. Linear regression analysis was utilized to determine the factors related to functional ability. RESULTS: 56 patients were included (mean age 80.7 ± 7.9 years old, 80.4% females). After the 6-month follow up the mortality rate was 23.2%. Only 30% of the patients returned to their previous activities, and 11.6% became totally dependent. Factors related to worse functional ability after fracture were HAQ before fracture, institutionalization after fracture and age (r² 0.482). The diagnosis of osteoporosis was informed only by 13.9% of them, and just 11.6% received any treatment for that. CONCLUSION: Our results showed the great impact of these fractures on mortality and in the functional ability of these patients. Nevertheless, many of our physicians do not inform the patients about the diagnosis of osteoporosis and, consequently, the treatment of this condition is jeopardized.As fraturas osteoporóticas de fêmur proximal trazem graves conseqüências quanto à morbimortalidade e à qualidade de vida, mas desconhece-se este impacto no Brasil. OBJETIVO: Conhecer a morbimortalidade decorrente deste tipo de fraturas em idosos na cidade de São Paulo. MÉTODOS: Foram incluídos todos os pacientes com mais de 60 anos internados por fraturas de fêmur proximal durante seis meses, em dois hospitais de São Paulo. Os pacientes preencheram o questionário de capacidade funcional (HAQ), tiveram seu prontuário examinado e foram reavaliados após seis meses. Utilizou-se a análise de regressão linear para determinar os fatores relacionados à capacidade funcional. RESULTADOS: Cinqüenta e seis pacientes foram incluídos no estudo (80,7 ± 7,9 anos; 80,4% mulheres). A mortalidade em seis meses foi de 23,2%. Apenas 30% retornaram plenamente às suas atividades prévias e 11,6% tornaram-se completamente dependentes. Os fatores que mais bem conseguiram prever pior capacidade funcional após a fratura foram HAQ pré-fratura, institucionalização pós-fratura e idade (r² 0,482). Somente 13,9% receberam o diagnóstico de osteoporose e 11,6% iniciaram algum tratamento. CONCLUSÕES: Os resultados do presente estudo demonstram o impacto deste tipo de fraturas sobre a mortalidade e a capacidade funcional. Entretanto, a falha médica no diagnóstico e na orientação de tratamento da osteoporose permanece elevada.Universidade Federal de São Paulo (UNIFESP) Escola Paulista de MedicinaSanta Casa de Misericórdia de São Paulo Departamento de OrtopediaUNIFESP-EPM EPMUNIFESP, EPM, EPMSciEL

Database-driven High-Throughput Calculations and Machine Learning Models for Materials Design

This paper reviews past and ongoing efforts in using high-throughput ab-inito calculations in combination with machine learning models for materials design. The primary focus is on bulk materials, i.e., materials with fixed, ordered, crystal structures, although the methods naturally extend into more complicated configurations. Efficient and robust computational methods, computational power, and reliable methods for automated database-driven high-throughput computation are combined to produce high-quality data sets. This data can be used to train machine learning models for predicting the stability of bulk materials and their properties. The underlying computational methods and the tools for automated calculations are discussed in some detail. Various machine learning models and, in particular, descriptors for general use in materials design are also covered.Comment: 19 pages, 2 figure

Traffic and Related Self-Driven Many-Particle Systems

Since the subject of traffic dynamics has captured the interest of physicists, many astonishing effects have been revealed and explained. Some of the questions now understood are the following: Why are vehicles sometimes stopped by so-called ``phantom traffic jams'', although they all like to drive fast? What are the mechanisms behind stop-and-go traffic? Why are there several different kinds of congestion, and how are they related? Why do most traffic jams occur considerably before the road capacity is reached? Can a temporary reduction of the traffic volume cause a lasting traffic jam? Under which conditions can speed limits speed up traffic? Why do pedestrians moving in opposite directions normally organize in lanes, while similar systems are ``freezing by heating''? Why do self-organizing systems tend to reach an optimal state? Why do panicking pedestrians produce dangerous deadlocks? All these questions have been answered by applying and extending methods from statistical physics and non-linear dynamics to self-driven many-particle systems. This review article on traffic introduces (i) empirically data, facts, and observations, (ii) the main approaches to pedestrian, highway, and city traffic, (iii) microscopic (particle-based), mesoscopic (gas-kinetic), and macroscopic (fluid-dynamic) models. Attention is also paid to the formulation of a micro-macro link, to aspects of universality, and to other unifying concepts like a general modelling framework for self-driven many-particle systems, including spin systems. Subjects such as the optimization of traffic flows and relations to biological or socio-economic systems such as bacterial colonies, flocks of birds, panics, and stock market dynamics are discussed as well.Comment: A shortened version of this article will appear in Reviews of Modern Physics, an extended one as a book. The 63 figures were omitted because of storage capacity. For related work see http://www.helbing.org