Relevant bibliographies by topics / Fat storage

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fat storage'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Fat storage"

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Williams, Ruth. "Defective fat storage." Journal of Experimental Medicine 203, no. 10 (September 18, 2006): 2218b. http://dx.doi.org/10.1084/jem.20310iti4.

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Cohen, Paul, and Bruce M. Spiegelman. "Cell biology of fat storage." Molecular Biology of the Cell 27, no. 16 (August 15, 2016): 2523–27. http://dx.doi.org/10.1091/mbc.e15-10-0749.

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The worldwide epidemic of obesity and type 2 diabetes has greatly increased interest in the biology and physiology of adipose tissues. Adipose (fat) cells are specialized for the storage of energy in the form of triglycerides, but research in the last few decades has shown that fat cells also play a critical role in sensing and responding to changes in systemic energy balance. White fat cells secrete important hormone-like molecules such as leptin, adiponectin, and adipsin to influence processes such as food intake, insulin sensitivity, and insulin secretion. Brown fat, on the other hand, dissipates chemical energy in the form of heat, thereby defending against hypothermia, obesity, and diabetes. It is now appreciated that there are two distinct types of thermogenic fat cells, termed brown and beige adipocytes. In addition to these distinct properties of fat cells, adipocytes exist within adipose tissue, where they are in dynamic communication with immune cells and closely influenced by innervation and blood supply. This review is intended to serve as an introduction to adipose cell biology and to familiarize the reader with how these cell types play a role in metabolic disease and, perhaps, as targets for therapeutic development.
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Miranda, Diego A., Ji-Hyun Kim, Long N. Nguyen, Wang Cheng, Bryan C. Tan, Vera J. Goh, Jolene S. Y. Tan, et al. "Fat Storage-inducing Transmembrane Protein 2 Is Required for Normal Fat Storage in Adipose Tissue." Journal of Biological Chemistry 289, no. 14 (February 11, 2014): 9560–72. http://dx.doi.org/10.1074/jbc.m114.547687.

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Scanlon, Seth Thomas. "Macrophages: key mediators of fat storage." Science 373, no. 6550 (July 1, 2021): 70.10–72. http://dx.doi.org/10.1126/science.373.6550.70-j.

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Netting, Jessa. "Gene Variations Police the Storage of Fat." Science News 159, no. 22 (June 2, 2001): 342. http://dx.doi.org/10.2307/3981713.

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Jordão, Rita, Elba Garreta, Bruno Campos, Marco F. L. Lemos, Amadeu M. V. M. Soares, Romà Tauler, and Carlos Barata. "Compounds altering fat storage in Daphnia magna." Science of The Total Environment 545-546 (March 2016): 127–36. http://dx.doi.org/10.1016/j.scitotenv.2015.12.097.

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Flatt, J. P. "Use and storage of carbohydrate and fat." American Journal of Clinical Nutrition 61, no. 4 (April 1, 1995): 952S—959S. http://dx.doi.org/10.1093/ajcn/61.4.952s.

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Flatt, J. P. "Body Weight, Fat Storage, and Alcohol Metabolism." Nutrition Reviews 50, no. 9 (April 27, 2009): 267–70. http://dx.doi.org/10.1111/j.1753-4887.1992.tb01344.x.

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Sonko, B. J., A. M. Prentice, P. R. Murgatroyd, G. R. Goldberg, M. L. van de Ven, and W. A. Coward. "Effect of alcohol on postmeal fat storage." American Journal of Clinical Nutrition 59, no. 3 (March 1, 1994): 619–25. http://dx.doi.org/10.1093/ajcn/59.3.619.

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Maria Sironi, Anna, Rosa Sicari, Franco Folli, and Amalia Gastaldelli. "Ectopic Fat Storage, Insulin Resistance, and Hypertension." Current Pharmaceutical Design 17, no. 28 (September 1, 2011): 3074–80. http://dx.doi.org/10.2174/138161211798157720.

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Dissertations / Theses on the topic "Fat storage"

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Peacock, Wendy Lorraine. "Adaptive aspects of fat storage in small mammals." Thesis, University of Aberdeen, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288387.

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This thesis examines the effect of diet, photoperiod and perceived predation risk on the body composition and energy balance of voles (Clethrionomys sp and Microtus sp).  These rodents are able to regulate their fat mass in response to the changeable environment in which they live by adjusting components of their energy intake and expenditure; thus making them potential candidates for the study of obesity.  Throughout, body composition was determined using both destructive (dissections, Soxhlet) and non-destructive techniques (total body electrical conductivity (TOBEC), morphometrics), whilst energetic variables measured included food intake, assimilation efficiency, resting metabolic rate and daily energy expenditure (DEE). In addition, the usefulness of four non-destructive methods of measuring body composition in voles was assessed and compared to chemical analysis. When fed a diet high in fat (45 %), bank voles (Clethrionomys glareolus) reduced their food intake such that the amount of energy assimilated was equal to that on the control diet and increased fat oxidation to match intake almost immediately.  On a standard diet, these voles gained approximately 10% body mass when switched from short to long photoperiod without corresponding adjustments in energy intake or expenditure, even during the period of most weight gain.  When weasel (Mustela nivalis) faeces was introduced to simulate predation risk, male bank voles reduced the amount of body mass gained in response to photoperiod change, concurrent with a reduction in food intake and an increase in DEE. Both male and female voles exhibited elevated levels of faecal corticosterone when exposed to weasel faeces, indicating increased stress. In a field experiment, male field voles (Microtus agrestis) from sites with low weasel activity were heavier than those from sites with high weasel activity.  There were no differences in body mass between sites with differing vole density.
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Greer, Elisabeth. "Genetic analysis of feeding behavior and fat storage in Caenorhabditis elegans." Diss., Search in ProQuest Dissertations & Theses. UC Only, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3297785.

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Samra, Jaswinder Singh. "Regulation of fat mobilisation in normal subjects in the post-absorptive state : role of hormones." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319044.

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Goff, Michael J. "Fat and oil derivatives for use as phase change materials /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3144418.

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Flynn, Michael Gerald. "Fat storage in athletes : the metabolic and hormonal responses to swimming and running exercise." Virtual Press, 1987. http://liblink.bsu.edu/uhtbin/catkey/516210.

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Despite similar rates of energy expenditure during training, competitive swimmers have been shown to store significantly greater amounts of body fat than competitive runners. In an attempt to explain these discrepancies, male collegiate swimmers (n=8) and runners (n=8) were monitored during 45 min of swimming and running, respectively (75% V02 max), and during two hours of recovery. In addition, a group of male competitive triathletes (n=6) were similarly monitored during and after both swimming and running exercise.Blood samples were obtained after 15 min rest prior to exercise and at 0, 15, 30, 60 and 120 min of recovery and were analyzed for glucose, lactate, glycerol, free fatty acids, insulin, glucagons, norepinephrine (NE) and epinephrine (E). Respiratory gases were collected at 15 min intervals during exercise and at 15, 30, 45, 60, 90 and 120 min of recovery. Heart rate and mean body temperature were recorded at 10 min intervals throughout recovery. There were no differences in post-exercise oxygen consumption or heart rate while the RER suggested increased fat oxidation after exercise for the swimmers and the swimming triathletes. The mean body temperature and mean skin temperatures were significantly lower throughout 120 min of recovery for the swimmers compared to the runners. The triathletes demonstrated a similar tendency but these differences were not significant. The serum glucose levels were significantly greater (P<0.05) immediately post-exercise for the runners compared to the swimmers (6.71 +0.29 and 4.97 +0.19 mmol•1-1, respectively). Blood glucose values were also significantly greater immediately post-run for the triathletes (6.40 +0.26 and 4.87 ±0.18 mmol-l-1 for running and swimming, respectively). Blood glucose values remained elevated for runners and the running triathletes up to 30 min of recovery. Free fatty acids were similar after the run and the swim, but glycerols were increased immediately after running in the runners (P<0.05) and the triathletes (P<0.05). Differences in blood glucose levels or fat release were not explained by differences in NE, E or cortisol. The glucagon-to-insulin (G:I) ratio was significantly increased after exercise in the swimmers and the swimming triathletes. This, combined with a reduced RER after the swimming trials, suggests that the reduced glucose levels were due to reduced hepatic glycogen stores. The results of this study suggest that there were differences in substrate utilization during running and swimming exercise of the same intensity. These differences were not explained by NE, E or cortisol; however, the increased G:T ratio suggests increased carbohydrate use during exercise in the swimmers. Finally, body fat differences between runners and swimmers were not explained by differences in post-exercise energy expenditure or fat oxidation.
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White, Jason Franklin Suppes Galen J. "Flammability characterization of fat and oil derived phase change materials." Diss., Columbia, Mo. : University of Missouri--Columbia, 2005. http://hdl.handle.net/10355/6252.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on February 12, 2010). Thesis advisor: Dr. Galen J. Suppes. Includes bibliographical references.
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Xu, Yanjun [Verfasser], Ronald P. [Akademischer Betreuer] [Gutachter] Kühnlein, and Ahmed [Gutachter] Mansouri. "Regulation of Drosophila melanogaster body fat storage by store-operated calcium entry / Yanjun Xu ; Gutachter: Ronald P. Kühnlein, Ahmed Mansouri ; Betreuer: Ronald P. Kühnlein." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2017. http://d-nb.info/1132813042/34.

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Moreira, Gabriel Costa Monteiro. "Genome-wide association studies reveal genomic regions and positional candidate genes for fat deposition in chickens." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11139/tde-17072018-191146/.

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Excess of fat deposition is a negative factor for poultry production, which affects feed efficiency and consequently the costs of meat production. The incorporation of genomic tools in poultry breeding programs may help to accelerate the selection for increased production efficiency. In this context, we genotyped approximately 2,000 42 days-old chickens from two different populations (Brazilian F2 Chicken Resource population and TT broiler Reference Population) using a high-density SNP array (600K, Affymetrix) to estimate genomic heritability of fatness-related traits, to identify genomic regions and positional candidate genes (PCGs) associated with these traits. We performed genome-wide association (GWAS) analysis using GenSel software (Bayesian approach) to identify 1 Mb genomic windows associated with abdominal fat, skin and carcass fat content traits. The search for PCGs were made within each genomic windows associated considering their Gene Ontology (GO) terms and also the literature information. We also integrated into this study NGS-SNPs data from both populations and selection signature regions identified in Brazilian F2 Chicken Resource population to refine the list of PCGs. The genomic heritability values for fatness-related traits were from moderate to high (greater than 0.30). We identified quantitative trait loci (QTL) for abdominal fat, skin and carcass fat content traits harboring several PCGs involved in biological processes of fat deposition. We identified several NGS-SNPs annotated in potential functional regions in our PCGs and some of those were predicted as deleterious and high impact mutations. Besides that, some genes overlapped with selection signature regions in Brazilian F2 Chicken Resource population. Important candidate genes for fat deposition were identified, providing new insights to achieve a better understanding of the genetic control of fat deposition in chickens.
O excesso de deposição de gordura é um fator negativo para a produção de aves, o que afeta a eficiência alimentar e consequentemente os custos da produção de carne. A incorporação das ferramentas genômicas em programas de melhoramento de aves pode ajudar a acelerar a seleção para aumentar a eficiência da produção. Neste contexto, genotipamos cerca de 2.000 aves de 42 dias de duas populações diferentes (população F2 experimental brasileira e população de corte referência TT) usando um chip de SNPs de alta densidade (600K, Affymetrix) para estimar a herdabilidade genômica de características relacionadas à deposição de gordura, para identificar regiões genômicas e genes candidatos posicionais (PCGs) associados a essas características. Realizamos análises de associação genômica ampla (GWAS) usando o programa GenSel (abordagem Bayesiana) para identificar janelas genômicas de 1 Mb associadas com características de gordura abdominal, pele e conteúdo de gordura na carcaça. A busca por PCGs foi feita dentro de cada janela genômica associada, considerando os Gene Ontology (GO) terms e também a informação da literatura. Integramos neste estudo NGS-SNPs identificados em animais parentais de ambas as populações, e além disso, regiões de assinaturas de seleção identificadas na população F2 experimental brasileira para refinar a lista de PCGs. Os valores de herdabilidade genômica para as características relacionadas à gordura foram de moderado a alto (maior que 0,30). Identificamos QTL para características de gordura abdominal, pele e conteúdo de gordura na carcaça contendo PCGs envolvidos em processos biológicos de deposição de gordura. Identificamos vários NGS-SNPs anotados em regiões potencialmente funcionais em nossos PCGs e alguns desses foram preditos como mutações deletérias e de alto impacto. Além disso, alguns genes se sobrepuseram com regiões de assinatura de seleção na população F2 experimental brasileira. Foram identificados importantes genes candidatos para a deposição de gordura, fornecendo novos insights para alcançar uma melhor compreensão do controle genético da deposição de gordura em frangos.
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Baumbach, Jens [Verfasser], Ronald P. [Akademischer Betreuer] Kühnlein, and Herbert [Akademischer Betreuer] Jäckle. "An in vivo RNAi screen identifies evolutionary conserved Drosophila fat storage regulators / Jens Baumbach. Gutachter: Ronald P. Kühnlein ; Herbert Jäckle. Betreuer: Ronald P. Kühnlein." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2014. http://d-nb.info/1051132541/34.

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Sutterlin, William R. "Using environmental chemistry technologies for the removal of arsenic from drinking water, and fat and oil based phase change materials for thermal energy storage /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3137754.

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Books on the topic "Fat storage"

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Benkendorf, Jayne. 15 Minute Storage Meals: Quick, Healthful Recipes & Food Storage Handbook. Edmond, OK: Ludwig Publishing, 1999.

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Storie del bosco Fate. Milan: Dami Editore, 1993.

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Patterson, H. B. W. Handling and storage of oilseeds, oils, fats, and meal. London: Elsevier Applied Science, 1989.

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Laboratories, Underwriters'. National Flammable Liquid Container Storage Research Project: Phase 1, fact finding report. Quincy, Mass: National Fire Protection Research Foundation, 1990.

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Strong, Karen V. Managing documents across the enterprise: Fact or fiction? Silver Spring, Maryland: Association for Information and Image Management International, 1997.

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Ravanello cosa fai?: Con tante storie per imparare la pazienza. Firenze: Editoriale Scienza, 2013.

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Bivanti, Beppe, and Gianni Marchetto. Due storie operaie. Milano: Edizioni Punto rosso, 2013.

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Lembo, Daniele. Taranto: --fate saltare quel ponte : storie di nuotatori paracadutisti, guastatori e sabotaggi. Copiano (Pavia): MA.RO, 2002.

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Fast facts online: Search strategies for finding business information. Homewood, Ill: D. Jones-Irwin, 1986.

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Wai wai tu guan jian qi zao jiao xiang mu zu, ed. Wo zi ji chi fan! Beijing Shi: Hai tun chu ban she, 2010.

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Book chapters on the topic "Fat storage"

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Watve, Milind. "Fat: Beyond Energy Storage." In Doves, Diplomats, and Diabetes, 219–44. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4409-1_11.

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Ramenofsky, M. "Fat Storage and Fat Metabolism in Relation to Migration." In Bird Migration, 214–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74542-3_15.

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Imam, Syed Khalid. "White Adipose Tissue: Beyond Fat Storage." In Obesity, 1–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19821-7_1.

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Orr, Ken. "Storage Area Networks: Smart Storage, Fat Pipes and Industrial Grade Data Warehousing." In Data Warehousing, 149–63. Wiesbaden: Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-84964-9_14.

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O’Sullivan, Anthony J. "Fat Storage in Women: From Puberty to the Menopause." In Handbook of Growth and Growth Monitoring in Health and Disease, 1087–101. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1795-9_65.

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Surai, Peter, and V. I. Fisinin. "Ill Health Effects of Food Lipids: Consequences of Inadequate Food Processing, Storage and Cooking." In Modern Dietary Fat Intakes in Disease Promotion, 251–74. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60327-571-2_17.

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Cooke, Peter H., Michael H. Tunick, Edyth L. Malin, Philip W. Smith, and Virginia H. Holsinger. "Electron-Density Patterns in Low-Fat Mozzarella Cheeses During Refrigerated Storage." In Chemistry of Structure-Function Relationships in Cheese, 311–20. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1913-3_19.

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Bhat, Wasim Ahmad, and S. M. K. Quadri. "Performance Augmentation of a FAT Filesystem by a Hybrid Storage System." In Advanced Computing, Networking and Informatics- Volume 2, 489–98. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07350-7_54.

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Scherneck, Stephan, Heike Vogel, Matthias Nestler, Reinhart Kluge, Annette Schürmann, and Hans-Georg Joost. "Role of Zinc Finger Transcription Factor Zfp69 in Body Fat Storage and Diabetes Susceptibility of Mice." In Results and Problems in Cell Differentiation, 57–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14426-4_6.

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Brambilla, Alessandra, Savina Mannarino, Roberta Pretese, Serena Gasperini, Cinzia Galimberti, and Rossella Parini. "Improvement of Cardiomyopathy After High-Fat Diet in Two Siblings with Glycogen Storage Disease Type III." In JIMD Reports, 91–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/8904_2014_343.

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Conference papers on the topic "Fat storage"

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Li, Guozhi, Songtao Guo, Guiyan Liu, and Yuanyuan Yang. "Multicast Scheduling with Markov Chains in Fat-Tree Data Center Networks." In 2017 International Conference on Networking, Architecture, and Storage (NAS). IEEE, 2017. http://dx.doi.org/10.1109/nas.2017.8026867.

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Jaya Shankar Tumuluru, Shahab Sokhansanj, Bandyopadhyay Sukumar, and Dr. A. S Bawa. "Storage Studies of High Fat Fish and Rice Flour Coextudates." In 2008 Providence, Rhode Island, June 29 - July 2, 2008. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2008. http://dx.doi.org/10.13031/2013.25052.

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Jain, Nikhil, Abhinav Bhatele, Louis H. Howell, David Böhme, Ian Karlin, Edgar A. León, Misbah Mubarak, Noah Wolfe, Todd Gamblin, and Matthew L. Leininger. "Predicting the performance impact of different fat-tree configurations." In SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3126908.3126967.

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Wang, Zhikun, Ke Zhou, Dan Feng, and Junping Liu. "Disk Tree: A Fat-Tree Based Heterogeneous Multi-tier Storage Architecture." In Fourth International Workshop on Storage Network Architecture and Parallel I/Os (SNAPI 2007). IEEE, 2007. http://dx.doi.org/10.1109/snapi.2007.9.

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Wang, Zhikun, Ke Zhou, Dan Feng, Lingfang Zeng, and Junping Liu. "FTRAID: A Fat-tree Based Parallel Storage Architecture for Very Large Disk Array." In 2007 International Conference on Networking, Architecture, and Storage (NAS 2007). IEEE, 2007. http://dx.doi.org/10.1109/nas.2007.25.

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Pollard, Samuel D., Nikhil Jain, Stephen Herbein, and Abhinav Bhatele. "Evaluation of an Interference-free Node Allocation Policy on Fat-tree Clusters." In SC18: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2018. http://dx.doi.org/10.1109/sc.2018.00029.

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Leon, Edgar A., Ian Karlin, Abhinav Bhatele, Steven H. Langer, Chris Chambreau, Louis H. Howell, Trent D'Hooge, and Matthew L. Leininger. "Characterizing Parallel Scientific Applications on Commodity Clusters: An Empirical Study of a Tapered Fat-Tree." In SC16: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2016. http://dx.doi.org/10.1109/sc.2016.77.

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Husain, Rahim, Suparmo, Eni Harmayani, and Chusnul Hidayat. "Kinetic oxidation of protein and fat in snapper (Lutjanus sp) fillet during storage." In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SYNCHROTRON RADIATION INSTRUMENTATION – SRI2015. Author(s), 2016. http://dx.doi.org/10.1063/1.4958489.

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Babatunde Adewale Adewumi, John Alaba Famurewa, and Israel Sunday Dunmade. "Storage Stability of Smoked Fish as Influenced by Fat Content and Equilibrium Moisture Content." In 2009 Reno, Nevada, June 21 - June 24, 2009. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.26899.

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Nascimento, Pamela V. P. "20-hydroxyecdysone induces fatty acid synthesis and triacylglycerol storage in the fat body ofRhodnius prolixus." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.112709.

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Reports on the topic "Fat storage"

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Kwon, Joongho, Kichang Nam, Hojin Kang, and Dong U. Ahn. Effect of Electron Beam Irradiation and Storage on the Quality Attributes of Sausages with Different Fat Contents. Ames (Iowa): Iowa State University, January 2011. http://dx.doi.org/10.31274/ans_air-180814-1032.

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Badia, R., J. Ejarque, S. Böhm, C. Soriano, and R. Rossi. D4.4 API and runtime (complete with documentation and basic unit testing) for IO employing fast local storage. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.9.001.

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This deliverable presents the activities performed on the ExaQUte project task 4.5 Development of interface to fast local storage. The activities have been focused in two aspects: reduction of the storage space used by applications and design and implementation of an interface that optimizes the use of fast local storage by MPI simulations involved in the project applications. In the rst case, for one of the environments involved in the project (PyCOMPSs) the default behavior is to keep all intermediate les until the end of the execution, in case these les are reused later by any additional task. In the case of the other environment (HyperLoom), all les are deleted by default. To unify these two behaviours, the calls \delete object" and \detele le"have been added to the API and a ag \keep" that can be set to true to keep the les and objects that maybe needed later on. We are reporting results on the optimization of the storage needed by a small case of the project application that reduces the storage needed from 25GB to 350MB. The second focus has been on the de nition of an interface that enables the optimization of the use of local storage disk. This optimization focuses on MPI simulations that may be executed across multiple nodes. The added annotation enables to de ne access patters of the processes in the MPI simulations, with the objective of giving hints to the runtime of where to allocate the di erent MPI processes and reduce the data transfers, as well as the storage usage.
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Hadjerioua, Boualem, Kevin Stewart, Scott DeNeale, William Tingen, Shelaine Curd, Brennan Smith, Tessa Greco, et al. Pumped Storage Hydropower FAST Commissioning Technical Analysis. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1734671.

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4

Kessinger, G. F. Decontamination of FAST (CPP-666) fuel storage area stainless steel fuel storage racks. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/142496.

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5

Author, Not Given. NREL Advances Spillover Materials for Hydrogen Storage (Fact Sheet). Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1000569.

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6

Hadjerioua, Boualem, Scott Deneale, Shelaine Curd, Tessa Greco, Elise DeGeorge, Thomas Veselka, Tod Levin, et al. Pumped Storage Hydropower (PSH) FAST Commissioning Prize Technical Analysis. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1649519.

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7

CHASTAIN, S. A. REVIEW OF FAST FLUX TEST FACILITY (FFTF) FUEL EXPERIMENTS FOR STORAGE IN INTERIM STORAGE CASKS (ISC). Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/860881.

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8

McDeavitt, Sean. Fuel Aging in Storage and Transportation (FAST): Accelerated Characterization and Performance Assessment of the Used Nuclear Fuel Storage System. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1329205.

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9

Author, Not Given. NREL Develops Accelerated Sample Activation Process for Hydrogen Storage Materials (Fact Sheet). Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1000567.

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10

Shank, D. R. Fast Flux Test Facility, Sodium Storage Facility project-specific project management plan. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/10115844.

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