I Am the English Daisy

https://digitalcommons.library.umaine.edu/mmb-vp/4449/thumbnail.jp

A-Lister: a tool for analysis of differentially expressed omics entities across multiple pairwise comparisons.

BackgroundResearchers commonly analyze lists of differentially expressed entities (DEEs), such as differentially expressed genes (DEGs), differentially expressed proteins (DEPs), and differentially methylated positions/regions (DMPs/DMRs), across multiple pairwise comparisons. Large biological studies can involve multiple conditions, tissues, and timepoints that result in dozens of pairwise comparisons. Manually filtering and comparing lists of DEEs across multiple pairwise comparisons, typically done by writing custom code, is a cumbersome task that can be streamlined and standardized.ResultsA-Lister is a lightweight command line and graphical user interface tool written in Python. It can be executed in a differential expression mode or generic name list mode. In differential expression mode, A-Lister accepts as input delimited text files that are output by differential expression tools such as DESeq2, edgeR, Cuffdiff, and limma. To allow for the most flexibility in input ID types, to avoid database installation requirements, and to allow for secure offline use, A-Lister does not validate or impose restrictions on entity ID names. Users can specify thresholds to filter the input file(s) by column(s) such as p-value, q-value, and fold change. Additionally, users can filter the pairwise comparisons within the input files by fold change direction (sign). Queries composed of intersection, fuzzy intersection, difference, and union set operations can also be performed on any number of pairwise comparisons. Thus, the user can filter and compare any number of pairwise comparisons within a single A-Lister differential expression command. In generic name list mode, A-Lister accepts delimited text files containing lists of names as input. Queries composed of intersection, fuzzy intersection, difference, and union set operations can then be performed across these lists of names.ConclusionsA-Lister is a flexible tool that enables the user to rapidly narrow down large lists of DEEs to a small number of most significant entities. These entities can then be further analyzed using visualization, pathway analysis, and other bioinformatics tools

Exchange Rates and Order Flow in the Long Run

Several recent papers have underlined the importance of the microstructure effects in understanding exchange rate behavior by documenting stable long-run relationships between cumulated order flows and spot exchange rates. This stands in contrast to the widely-studied failure of exchange rates to conform to the long-run behavior implied by “conventional” macroeconomic models and is consistent with the prediction of micro-structure models. We reexamine the evidence for stable long-run relationships. We find that such evidence exists only for a small number of the major currencies we examine and that is it statistically fragile. We conclude that this implication of microstructure models does not fit the data as well as previous studies suggest. Plusieurs études récentes ont souligné l’importance de la microstructure des marchés pour la compréhension des comportements des taux de change en documentant les relations stables à long terme entre les flux des commandes cumulées et les taux de change courants. Les résultats contrastent avec ceux de nombreuses études sur l’échec des taux de change de se conformer au comportement à long terme que supposent les modèles macroéconomiques « conventionnels » et sont conformes à la prédiction des modèles microstructurels. Nous réexaminons l’évidence de relations stables à long terme et constatons que celle-ci n’existe que dans un petit nombre des taux de change étudiés et qu’elle est fragile du point de vue statistique. Nous concluons que l’implication des modèles microstructurels ne correspond pas aux données aussi bien que des études précédentes laissent supposer.cointegration, foreign exchange rates, order flow, microstructure, cointégration, flux de commandes, microstructure, taux de change

ECDIS Development Laboratory and Navigation Technology Demonstration Center

The U.S. Navy is undergoing a major transition from traditional, paper chart navigation to computer-based electronic charting. The Chief of Naval Operations (CNO) has mandated that all Navy ships will navigate strictly through electronic means by FY07. However, due to some recent groundings, the Navy is now striving to accelerate the full implementation of electronic navigation by FY04. The Naval Oceanographic Office (NAVOCEANO) is making a concerted effort to support this transition with upgrades to state-of-the-art survey ships, instrumentation, and data processing equipment. NAVOCEANO is increasing its capability to rapidly collect and process hydrographic survey data, and to quickly produce new electronic navigational charts in co-production with MMA. In addition to ensuring safe navigation, these new products will include tactical digital overlays for bafflespace awareness. At NAVOCEANO, a new program is under development to expand these capabilities in a joint effort with University of Southern Mississippi\u27s new Hydrographic Sciences Research Program. In September 2001, an ECDIS Development Laboratory and Navigation Technology Demonstration Center will be established. This facility will conduct quality assurance (QA) and test and evaluation @&E) of electronic chart products from NAVOCEANO and other hydrographidoceanographic data providers. This facility will also assist Navy ship personnel in gaining a greater understanding of electronic charting, as well as increased technical proficiency in properly using these systems to safely navigate - particularly in the shallow littoral areas of the world. The ECDIS Development Laboratory is envisioned to become an information clearinghouse and demonstration center on electronic charting technological development. In addition to explaining the range of currently available government data products and services, The Navigation Technology Demonstration Center will showcase the use of electronic charts and its capability when used to avoid groundings and collisions at sea. The Center will The U.S. Navy is undergoing a major transition from traditional, paper chart navigation to computer-based electronic charting. The Chief of Naval Operations (CNO) has mandated that all Navy ships will navigate strictly through electronic means by FY07. However, due to some recent groundings, the Navy is now striving to accelerate the full implementation of electronic navigation by FY04. The Naval Oceanographic Office (NAVOCEANO) is making a concerted effort to support this transition with upgrades to state-of-the-art survey ships, instrumentation, and data processing equipment. NAVOCEANO is increasing its capability to rapidly collect and process hydrographic survey data, and to quickly produce new electronic navigational charts in co-production with MMA. In addition to ensuring safe navigation, these new products will include tactical digital overlays for bafflespace awareness. At NAVOCEANO, a new program is under development to expand these capabilities in a joint effort with University of Southern Mississippi\u27s new Hydrographic Sciences Research Program. In September 2001, an ECDIS Development Laboratory and Navigation Technology Demonstration Center will be established. This facility will conduct quality assurance (QA) and test and evaluation @&E) of electronic chart products from NAVOCEANO and other hydrographidoceanographic data providers. This facility will also assist Navy ship personnel in gaining a greater understanding of electronic charting, as well as increased technical proficiency in properly using these systems to safely navigate - particularly in the shallow littoral areas of the world. The ECDIS Development Laboratory is envisioned to become an information clearinghouse and demonstration center on electronic charting technological development. In addition to explaining the range of currently available government data products and services, The Navigation Technology Demonstration Center will showcase the use of electronic charts and its capability when used to avoid groundings and collisions at sea. The Center will The U.S. Navy is undergoing a major transition from traditional, paper chart navigation to computer-based electronic charting. The Chief of Naval Operations (CNO) has mandated that all Navy ships will navigate strictly through electronic means by FY07. However, due to some recent groundings, the Navy is now striving to accelerate the full implementation of electronic navigation by FY04. The Naval Oceanographic Office (NAVOCEANO) is making a concerted effort to support this transition with upgrades to state-of-the-art survey ships, instrumentation, and data processing equipment. NAVOCEANO is increasing its capability to rapidly collect and process hydrographic survey data, and to quickly produce new electronic navigational charts in co-production with MMA. In addition to ensuring safe navigation, these new products will include tactical digital overlays for bafflespace awareness. At NAVOCEANO, a new program is under development to expand these capabilities in a joint effort with University of Southern Mississippi\u27s new Hydrographic Sciences Research Program. In September 2001, an ECDIS Development Laboratory and Navigation Technology Demonstration Center will be established. This facility will conduct quality assurance (QA) and test and evaluation @&E) of electronic chart products from NAVOCEANO and other hydrographidoceanographic data providers. This facility will also assist Navy ship personnel in gaining a greater understanding of electronic charting, as well as increased technical proficiency in properly using these systems to safely navigate - particularly in the shallow littoral areas of the world. The ECDIS Development Laboratory is envisioned to become an information clearinghouse and demonstration center on electronic charting technological development. In addition to explaining the range of currently available government data products and services, The Navigation Technology Demonstration Center will showcase the use of electronic charts and its capability when used to avoid groundings and collisions at sea. The Center will have commercial-off-the-shelf ECDIS and other electronic chartbased systems. A major focus will be to provide a better appreciation of the limitations electronic chart data produced by both the government and private sector that are derived from century-old hydrographic source data. Another important aspect will be to explain the capability and limitations of using very precise electronic navigation positioning systems (e.g., GPS and Differential GPS) with electronic charting systems. The Navigation Technology Center will also demonstrate the use of tactical digital overlays to provide naval vessels with critical military information that contributes to both safe navigation and increased warfrghting mission capability

Charlie : The English Daisy

https://digitalcommons.library.umaine.edu/mmb-vp/4523/thumbnail.jp

Ibuprofen Ameliorates Fatigue- And Depressive-Like Behavior in Tumor-Bearing Mice

Aims: Cancer-related fatigue (CRF) is often accompanied by depressed mood, both of which reduce functional status and quality of life. Research suggests that increased expression of pro-inflammatory cytokines is associated with skeletal muscle wasting and depressive- and fatigue-like behaviors in rodents and cancer patients. We have previously shown that treatment with ibuprofen, a nonsteroidal anti-inflammatory drug, preserved muscle mass in tumor-bearing mice. Therefore, the purpose of the present study was to determine the behavioral effects of ibuprofen in a mouse model of CRF. Main methods: Mice were injected with colon-26 adenocarcinoma cells and treated with ibuprofen (10 mg/kg) in the drinking water. Depressive-like behavior was determined using the forced swim test (FST). Fatigue-like behaviors were determined using voluntary wheel running activity (VWRA) and grip strength. The hippocampus, gastrocnemius muscle, and serum were collected for cytokine analysis. Key findings: Tumor-bearing mice showed depressive-like behavior in the FST, which was not observed in mice treated with ibuprofen. VWRA and grip strength declined in tumor-bearing mice, and ibuprofen attenuated this decline. Tumor-bearing mice had decreased gastrocnemius muscle mass and increased expression of IL-6, MAFBx and MuRF mRNA, biomarkers of protein degradation, in the muscle. Expression of IL-1β and IL-6 was also increased in the hippocampus. Treatment with ibuprofen improved muscle mass and reduced cytokine expression in both the muscle and hippocampus of tumor-bearing mice. Significance: Ibuprofen treatment reduced skeletal muscle wasting, inflammation in the brain, and fatigue- and depressive-like behavior in tumor-bearing mice. Therefore, ibuprofen warrants evaluation as an adjuvant treatment for CRF

On the correspondence between data revision and trend-cycle decomposition

This paper places the data revision model of Jacobs and van Norden (2011) within a class of trend-cycle decompositions relating directly to the Beveridge-Nelson decomposition. In both these approaches identifying restrictions on the covariance matrix under simple and realistic conditions may produce a smoothed estimate of the underlying series which is more volatile than the observed series

Fluoxetine Prevents the Development of Depressive-like Behavior in a Mouse Model of Cancer Related Fatigue

Cancer patients frequently suffer from fatigue, a complex syndrome associated with tiredness and depressed mood. Cancer-related fatigue (CRF) can be present at the time of diagnosis, escalates during treatment, and can persist for years after treatment. CRF negatively influences quality of life, limits functional independence, and is associated with decreased survival in patients with incurable disease. We have previously shown that increased pro-inflammatory cytokine expression in the brain contributes to depressive- and fatigue-like behaviors in a mouse model of CRF. Inflammatory cytokines increase the activity of indoleamine 2,3-dioxygenase (IDO) and kynurenine 3-monooxygenase (KMO), which competitively reduce serotonin synthesis. Reduced serotonin availability in the brain and increased production of alternative neuroactive metabolites of tryptophan are thought to contribute to the development of depression and fatigue. The purpose of this study was to determine the effects of fluoxetine, a selective serotonin reuptake inhibitor (SSRI), on brain cytokines and behavioral measures of fatigue and depression in tumor-bearing mice. Here we show that tumor growth increased brain expression of pro-inflammatory cytokines and KMO. Treatment with fluoxetine had no effect on tumor growth, muscle wasting, fatigue behavior, or cytokine expression in the brain. Fluoxetine, however, reduced depressive-like behaviors in tumor bearing mice. In conclusion, our data confirm that increased brain expression of pro-inflammatory cytokines is associated with tumor-induced fatigue- and depressive-like behaviors. However, it is possible to separate the effects of tumor growth on mood and fatigue-like behaviors using SSRIs such as fluoxetine

Arbejdslære.

Arbejdslære

Lessons From the Latest Data on U.S. Productivity

La croissance de la productivité est examinée par les macro-économistes car elle joue des rôles clés dans la compréhension de l’épargne dans le secteur privé, les sources des chocs macroéconomiques, l’évolution de la compétitivité internationale et la solvabilité des régimes de retraite publics. Toutefois, les estimations des taux de croissance de la productivité anticipées et conjoncturelles souffrent de deux problèmes potentiels : (i) les estimations des tendances récentes sont imprécises, et (ii) les données récemment publiées subissent souvent d’importantes révisions. Cette étude met en évidence la (non-) fiabilité de plusieurs mesures de croissance de la productivité agrégée aux États-Unis en examinant la mesure dans laquelle elles sont révisées au fil du temps. Nous examinons également dans quelle mesure ces révisions contribuent aux erreurs dans les prévisions de croissance de la productivité des États-Unis. Nous constatons que les révisions de données provoquent généralement des changements appréciables des estimations des taux de croissance de la productivité publiés à travers une gamme de différentes mesures de la productivité. D'importantes révisions surviennent souvent des années après la première publication des données, ce qui contribue significativement à l'incertitude générale à laquelle nos décideurs politiques doivent faire face. Cela souligne le besoin de moyens pour réduire l'incertitude à laquelle sont confrontés les décideurs politiques et les politiques robustes à l'incertitude sur les conditions économiques actuelles. La croissance de la productivité est examinée par les macro-économistes car elle joue des rôles clés dans la compréhension de l’épargne dans le secteur privé, les sources des chocs macroéconomiques, l’évolution de la compétitivité internationale et la solvabilité des régimes de retraite publics. Toutefois, les estimations des taux de croissance de la productivité anticipées et conjoncturelles souffrent de deux problèmes potentiels : (i) les estimations des tendances récentes sont imprécises, et (ii) les données récemment publiées subissent souvent d’importantes révisions. Cette étude met en évidence la (non-) fiabilité de plusieurs mesures de croissance de la productivité agrégée aux États-Unis en examinant la mesure dans laquelle elles sont révisées au fil du temps. Nous examinons également dans quelle mesure ces révisions contribuent aux erreurs dans les prévisions de croissance de la productivité des États-Unis. Nous constatons que les révisions de données provoquent généralement des changements appréciables des estimations des taux de croissance de la productivité publiés à travers une gamme de différentes mesures de la productivité. D'importantes révisions surviennent souvent des années après la première publication des données, ce qui contribue significativement à l'incertitude générale à laquelle nos décideurs politiques doivent faire face. Cela souligne le besoin de moyens pour réduire l'incertitude à laquelle sont confrontés les décideurs politiques et les politiques robustes à l'incertitude sur les conditions économiques actuelles.Productivité, analyses en temps réel, révisions de données, projections Greenbook projections , Productivité, analyses en temps réel, révisions de données, projections Greenbook projections