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Biomedical subjects

Xiaojiang Xu

Publications and source records attributed to Xiaojiang Xu.

5 recordsLinked to original sources

Efficiency of liquid cooling garments: prediction and manikin measurement.

INTRODUCTION: We studied the efficiency of liquid cooling garments (LCG) and their relationship to the insulation of outer clothing, perfusate inlet temperatures, and environmental conditions by both theoretical analysis and thermal manikin (TM) testing. METHODS: An equation to estimate LCG cooling efficiency was developed on the basis of energy balance. Cooling efficiency is a function of the thermal resistance between the TM skin and perfusate in the LCG, the thermal resistance between the environment and the perfusate, and TM skin, ambient, and perfusate temperatures. Three ensembles, a cooling vest (CV) only, CV plus a battle dress uniform (CVB), and CVB plus a battle dress overgarment (CVO), were tested on a sweating TM in dry and wet conditions. The TM surface temperature was maintained at 33 degrees C and the environment was 30 degrees C and 50% RH. The LCG heat removal from the TM was calculated using the power inputs to the TM with and without perfusate flow. RESULTS: The cooling efficiency was increased from approximately 0.45 for CV to approximately 0.70 for CVO in dry experiments and from approximately 0.53 for CV to 0.78 for CVO in wet experiments. CONCLUSION: With additional outer clothing layers, higher thermal resistances increased the rate of heat removal from the TM surface, and decreased heat gain from the ambient environment, thus increasing efficiency. The perfusate inlet temperature had minimal influence on the efficiency. The equations developed can predict cooling efficiency and heat removal rates under a wider range of environmental conditions.

Body Temperature Regulation↗

[Effects of habitat patch on Lophura nycthemera population].

To understand the relationships between the distribution of Lophura nycthemera population and the attributes of habitat patch,this paper investigated the population of L. nycthemera in the National Gutian Mountain Natural Reserve and its periphery area in Zhejiang Province from September 1998 to August 1999. The relative population density of L. nycthemera in each patch was determined by transect census with collecting molted feathers, and the effects of vegetation and landscape characteristics on the relative population density and patch occupancy were analyzed by statistic methods. The results showed that the occurrence of L. nycthemera was significantly affected by patch area,total cover,arbor cover,and shrub height. High frequency occurrence of L. nycthemera was observed in the patches with large area, dense total cover, dense arbor cover and high shrub height, and high relative population density was found in large size patches. There was a significant positive linear correlation between relative population density and patch area.

Animals↗

Thermoregulatory model for prediction of long-term cold exposure.

A multi-segmental mathematical model has been developed for predicting shivering and thermoregulatory responses during long-term cold exposure. The present model incorporates new knowledge on shivering thermogenesis, including the control and maximal limits of its intensity, inhibition due to a low core temperature, and prediction of endurance time. The model also takes into account individual characteristics of age, height, weight, % body fat, and maximum aerobic capacity. The model was validated against three different cold conditions i.e. water immersion up to 38 h and air exposure. The predictions were found to be in good agreement with the observations.

Adult↗

Learning module networks from genome-wide location and expression data.

We develop a systematic algorithm for discovering network of regulatory modules, which identifies regulatory modules and their regulation program by integrating genome-wide location and expression data. Unlike previous approaches [Eisen, M.B., Spellman, P.T., Brown, P.O. and Botstein, D. (1998) Proc. Natl. Acad. Sci. USA 95, 14863-14868; Tavazoie, S., Hughes, J.D., Campbell, M.J., Cho, R.J. and Church, G.M. (1999) Nat. Genet. 22, 281-285; Ihmels, J., Friedlander, G., Bergmann, S., Sarig, O., Ziv, Y. and Barkai, N. (2002) Nat. Genet. 31, 370-377; Segal, E., Shapira, M., Regev, A., Pe'er, D., Botstein, D., Koller, D. and Friedman, N. (2003) Nat. Genet. 34, 166-176] that relied primarily on gene expression data, our algorithm regards the regulator binding data as prior knowledge that provide direct evidence of physical regulatory interactions. We applied the method to a Saccharomyces cerevisiae genome-wide location data [Lee, T.I., Rinaldi, N.J., Robert, F., Odom, D.T., Bar-Joseph, Z., Gerber, G.K., Hannett, N.M., Harbison, C.T., Thompson, C.M., Simon, I., Zeitlinger, J., Jennings, E.G., Murray, H.L. Gordon, D.B., Ren, B., Wyrick, J.J., Tagne, J.B., Volkert, T.L., Fraenkel, E., Gifford, D.K. and Young, R.A. (2002) Science 298, 799-804] for 106 DNA-binding transcription factors and 250 gene expression experiments under the conditions from the cell cycle to responses to various stress conditions. The results show that our method is able to identify functionally coherent modules and their proper regulators. Supplementary materials are available at http://compbio.sibnet.org/projects/module-network/.

Algorithms↗

Model of human thermoregulation for intermittent regional cooling.

INTRODUCTION: A prospective approach to save energy expenditure for a liquid cooling garment (LCG) system is to provide intermittent regional cooling (IRC) to the human body instead of continuous cooling. In order to gain insight into IRC mechanisms, a mathematical model was developed to simulate thermal interaction between the human and IRC. METHODS: Human thermoregulatory responses were simulated by a previously validated six-cylinder mathematical model. Two equations were derived from the energy balance principle to estimate LCG heat removal during ON (coolant circulation) and OFF (no coolant circulation) periods. The heat removal equations were incorporated into the boundary equations of the human model. The augmented model was used to predict human thermal responses under different IRC conditions. RESULTS AND CONCLUSIONS: The model was evaluated against experimental results with IRC in warm environments. The comparison demonstrated that the model predictions of the core temperature and mean skin temperature were reliable within root mean square deviations of +/- 0.10 degrees C and 0.44 degrees C, respectively. Simulation analysis showed that IRC has the potential to reduce power requirements. Modeling is an effective alternative to predict efficacy when actual responses cannot be attempted. A systematic approach, consisting of manikin measurements, physiological experiments, and mathematical modeling can expedite the research and development of LCG systems.

Body Temperature Regulation↗