Mol Microbiol 2000,37(3):477–484 PubMedCrossRef 18 Khan SA: Plas

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​2002 ​tb00126 ​x CrossRef Probst TM (2003) Development and valid

​2002.​tb00126.​x CrossRef Probst TM (2003) Development and validation of the GSK461364 job security index and the job security satisfaction scale: a classical test theory and IRT approach. J Occup Organ Psychol 76:451–467. doi:10.​1348/​0963179033225915​87 CrossRef Schaufeli WB, Leiter MP, CHIR98014 mouse Maslach C, Jackson SE (1996) Maslach Burnout Inventory-General Survey (MBI-GS). In: Maslach C, Jackson SE, Leiter MP (eds) MBI manual, 3rd edn. Consulting Psychologists Press, Palo Alto Sverke M, Hellgren J, Näswall K (2002)

No security: a meta-analysis and review of job insecurity and its consequences. J Occup Health Psychol 7:242–264. doi:10.​1037/​/​1076-8998.​7.​3.​242 CrossRef Tan HH, Tan CP (2002) Temporary employees in Singapore: what drives them? J Psychol 136:83–102. doi:10.​1080/​0022398020960414​1 CrossRef Van der Doef M, Maes S (1999) The job demand-control(-Support) model and psychological well-being: a review of 20 years of empirical research. Work Stress 13:87–114. doi:10.​1080/​026783799296084 CrossRef Verboon FC, Feyter MG, Smulders PGW (1999) Arbeid en zorg, inzetbaarheid en beloning: het werknemersperspectief Lenvatinib concentration [Work and care, employability and reward: the employee perspective]. TNO Arbeid, Hoofddorp Verhulp E, Beltzer RM, Boonstra K, Christe D, Riphagen J (2002) Flexibele arbeidsrelaties [Flexible employment

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“Introduction Chemicals used in leather manufacturing are intended to chemically alter the structure of the animal hides and may have the same effect on the human skin.

‘*’ means any concept class and ‘-*->’ means any slot For exampl

‘*’ means any concept class and ‘-*->’ means any slot. For example, ‘input’ is changed to the expression ‘-input->*’. Third, the extraction of the concepts to be referred to by some relationship is changed from ‘:Y’ to ‘<-X-Y’, where X is the name of the relationship and Y is the name of a super concept of concepts of interest that are referred to the relationship X. For example, ‘:Problem’ is changed to the expression Olaparib in vivo ‘<-*- Problem’. Using this format, the command is ‘Problem (2 level depth) -target-> * <-*-Countermeasure’. The user can also input the commands by choosing aspects using the GUI shown in the upper left of Fig. 4. A new version currently under development

will provide users with more detailed options for concept extraction. For instance, users will be able to trace the chains within a range of specific concepts. In order to improve the usability of the system, future versions will let users select aspects using a point-and-click GUI. From the extraction of concepts based on a viewpoint, the system obtains conceptual chains that match with the user’s interest.

The conceptual chains are visualized as a conceptual map. In the conceptual map, the focal point is located INCB018424 supplier in its center, and the conceptual chains are represented as a divergent network. The nodes and links of the network show how the extracted concepts and relations between them represent different aspects of the conceptual chains, i.e., the relationships selleck kinase inhibitor followed and the concepts selected (Fig. 4). The network represents the aspects that are in focus during the exploration. Figure 4 shows the conceptual map generated in the above example. It expresses the result of an exploration from the viewpoint of “What kinds of problems are defined in the SS ontology? What are their targets? And, what countermeasures are being considered?” In

this way, the system can explore the ontology divergently and generate conceptual maps based on any viewpoint. Consequently, the system helps users understand the extracted knowledge HA-1077 mw embedded in the ontology. Our map generation tool has the following additional functions for helping users to explore ontologies: Highlighting a specified conceptual chain. By clicking a node, which represents a concept on the map, the tool highlights the conceptual chain from the focal point to the selected concept. The tool can also give the details of the conceptual chain in another window, as shown in Fig. 4. This function helps the user understand the relationships and the causal chains among concepts. Controlling the range of exploration. The tool can manage the range of exploration by controling the number of relationships that it traces for the exploration. In other words, the viewpoint is managed based on the depth of the range of exploration. Linking a conceptual map with data stored at Layer 0. The nodes in a conceptual map are based on the SS ontology at Layer 1.

3, 4 and 5, respectively In men (Fig  3), there was a swathe of

3, 4 and 5, respectively. In men (Fig. 3), there was a swathe of high-risk countries extending from North Western Europe (Iceland, Ireland, Finland, Denmark, Sweden and Norway), both eastwards to the Russian Federation and downwards through to central Europe (Belgium, Germany, Austria and

Switzerland) and thereafter to the south west (Greece, Hungary, Czech Republic and Slovakia) and onwards to Iran, Kuwait and Oman. Other high-risk countries for men were AZD2014 order Singapore, Malta, Japan, selleck chemicals Korea and Taiwan. Fig. 3 Hip fracture rates for men in different countries of the world categorised by risk. Where estimates are available, countries are colour coded red (annual incidence >150/100,000), orange (100–150/100,000) or green (<100/100,000) Fig. 4 Hip fracture rates for women in different countries of the world categorised by risk. Where estimates are available, countries are colour coded red (annual incidence >300/100,000), orange (200–300/100,000) or green (<200/100,000) Fig. 5 Hip fracture rates for men and women combined in different countries of the world categorised by risk. Where estimates are available, countries are colour coded red (annual incidence >250/100,000), orange (150–250/100,000) VS-4718 or green (<150/100,000) Regions of moderate risk included Oceania, China and India, Argentina and the countries of North America. If ethnic-specific rates were considered in USA, then the Hispanic, Asian and Black populations

of men would be colour coded green.

Low-risk countries included Latin America with the exception of Argentina, Africa and Saudi Arabia, the Iberian Peninsula and two countries in South East Asia (Indonesia and Thailand). In women there was a broadly similar pattern as that seen in men. A notable difference in the distribution of high risk was that Russia was represented as moderate risk in women rather than high risk (in men). Also, the swathe of high-risk countries in Europe and beyond was more consolidated extending from North Western Europe (Iceland, UK, Ireland, Denmark, Sweden and Norway) through to central Europe (Belgium, Germany, Austria and Switzerland Italy) and thereafter to the south west (Greece, Hungary, Czech Republic, Slovakia, Slovenia) ID-8 and onwards to Lebanon, Oman and Iran. Other high-risk countries for women were Hong Kong, Singapore, Malta and Taiwan. If ethnic-specific rates were considered in USA, then Hispanic, Asian and Black populations would be colour coded green but Caucasian women coded at high risk. Regions of moderate risk included Oceania, the Russian Federation, the southern countries of Latin America and the countries of North America. Low-risk regions included the northern regions of Latin America, Africa, Jordan and Saudi Arabia, India, China, Indonesia and the Philippines. It is notable that in Europe, the majority of countries were categorised at high or moderate risk. Low risk was identified only in Croatia and Romania.

Blood was withdrawn for determination of TNFα after 1 and 2 weeks

Blood was withdrawn for determination of TNFα after 1 and 2 weeks of treatments. Animals were sacrificed after 2 weeks and a 10 % W/V liver homogenate was assayed for both parameters. Data represent the mean ± SEM of each group; n = 8. Symbols indicate Depsipeptide nmr significance against VPA-treated group (asterisks) and normal control group (dollar symbols), DHA docosahexaenoic

acid, TNFα tumor necrosis factor alpha, VPA valproate Figure 4 represents necropsies of the liver to assess the pathological changes in the studied EGFR inhibitor animals. The negative control group showed average size and color of the liver with no detected histopathologic abnormalities (photos 1, 2). Conversely, the VPA-treated group showed grossly enlarged pale livers with significantly increased weights over control values. Besides, multiple foci of focal lytic necrosis were detected in which replacement by both inflammatory cells and cellular degeneration had occurred (photo 3). Moreover, combined macrovesicular and microvesicular steatosis were evident in the periportal zone of four animals (out of six) of this group (photo 4). Concurrent treatment with DHA significantly alleviated the hepatic cellular

and molecular anomalies entailed by VPA treatment. This was manifested as reduced serum liver enzymes (better LY2606368 after 1 than 2 weeks), lipid peroxide generation, and increased levels of hepatic GSH and serum albumin, consonant with promoted liver defensive mechanisms and enhanced protein synthesis. Furthermore, when combined with VPA, DHA showed only minimal small focal necrosis/apoptosis (single cell death) with no evidence of degeneration or steatosis (photo 5); consistent with amelioration of pathologic anomalies by DHA. Fig. 4 Necropsies of the liver of studied animals from each group L-gulonolactone oxidase to assess the pathologic changes. Photos 1, 2 are for the negative control group, showing average size/color of the liver with no detected histopathologic abnormalities. Photo 3: VPA control group showing grossly enlarged pale livers with multiple foci of focal lytic necrosis with replacement by inflammatory cells and hepatocyte degeneration. Also, combined macrovesicular

and microvesicular steatosis occurring in the periportal zone were evident in four animals in this group (photo 4). DHA when combined with VPA showed only minimal small focal necrosis with no evidence of degeneration (photo 5). DHA docosahexaenoic acid, VPA valproate Because DHA recently demonstrated some neuroinhibitory effects on its own [18], it was of current interest to also seek possible synergy with anticonvulsant effects of VPA. Figure 5 shows that DHA elicited a dose-responsive increase in latency (onset) of mouse tonic convulsions, with significance from control value elicited at (250 mg/kg, p < 0.05), a response that was also comparable to that evoked by VPA at its ED50 dose (13.8 vs 14.9 min). Combining the two FAs at such lower doses triggered a notable synergy in the latency of convulsion (32.8 min, p < 0.05).

J Clin Oncol 2008, 26:443 38 Gitlitz BJ, Glisson BS, Moon J, Re

J Clin Oncol 2008, 26:443. 38. Gitlitz BJ, this website Glisson BS, Moon J, Reimers H, Gandara DR: Sorafenib in patients with platinum (plat) treated extensive stage small cell lung cancer (E-SCLC): A SWOG (S0435) phase II trial. J Clin Oncol 2008, 26:433. 39. Schipani E, Maes C, Carmeliet G, Semenza GL: Regulation of osteogenesis-angiogenesis coupling by HIFs

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Seymour L, Debruyne C, Bezjak A, Hirsh V, Smylie M, Rubin S, Martins H, Lamont A, Krzakowski M, Sadura A, Zee B: Prospective, randomized, double-blind, placebo-controlled trial of marimastat after response to first-line chemotherapy in patients with small-cell lung cancer: a trial of the National Cancer Institute of Canada-Clinical Trials Group and the European Organization for Research and Treatment of Cancer. J Clin Oncol 2002, 20:4434–9.PubMedCrossRef 43. Lohi J, Wilson CL, Roby JD, Parks WC: Epilysin, a novel human matrix metalloproteinase (MMP-28) expressed in testis and keratinocytes and in response to EPZ5676 research buy injury. J Biol Chem 2001, 276:10134–44.PubMedCrossRef 44. Illman SA, Lehti K, Keski-Oja J, Lohi J: Epilysin (MMP-28) induces TGF-beta mediated epithelial to mesenchymal transition in lung carcinoma cells. J Cell Sci 2006, 119:3856–65.PubMedCrossRef 45. Koh MY, Spivak-Kroizman TR, Farnesyltransferase Powis G: HIF-1alpha and cancer therapy. Recent

Results Cancer Res 2010, 180:15–34.PubMedCrossRef 46. Cenni E, Perut F, Granchi D, Avnet S, Amato I, Brandi ML, Giunti A, Baldini N: Inhibition of angiogenesis via FGF-2 blockage in primitive and bone metastatic renal cell carcinoma. Anticancer Res 2007, 27:315–9.PubMed 47. Xue Y, Cao R, Nilsson D, Chen S, Westergren R, Hedlund EM, Martijn C, Rondahl L, Krauli P, Walum E, Enerback S, Cao Y: FOXC2 controls Ang-2 expression and modulates angiogenesis, vascular patterning, remodeling, and functions in adipose tissue. Proc Natl Acad Sci USA 2008, 105:10167–72.PubMedCrossRef 48. Boddy JL, Fox SB, Han C, Campo L, Turley H, Kanga S, Malone PR, Harris AL: The androgen receptor is significantly associated with vascular endothelial growth factor and hypoxia sensing via hypoxia-inducible factors HIF-1a, HIF-2a, and the prolyl hydroxylases in human prostate cancer. Clin Cancer Res 2005, 11:7658–63.PubMedCrossRef 49. Wisniewski HG, Vilcek J: Cytokine-induced gene expression at the crossroads of innate immunity, inflammation and fertility: TSG-6 and PTX3/TSG-14.

References 1 Rainey PB, Travisano M: Adaptive radiation in a het

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M, Singh PK: Self-generated diversity produces “insurance effects” in biofilm communities. Proc Natl Acad Sci U S A 2004,101(47):16630–16635.PubMedCrossRef 4. Kirisits M, Prost L, Starkey M, Parsek MR: Characterization of colony morphology variants isolated from Pseudomonas aeruginosa biofilms. Appl Environ Microbiol 2005,71(8):4809–4821.PubMedCrossRef 5. Starkey M,

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6) Under HL+UV conditions, although expression levels of both dn

6). Under HL+UV conditions, although expression levels of both dnaA and ftsZ genes significantly increased at 15:00 compared to the 6:00 time point, the expression level was 3- to 5-fold lower than under HL at 15:00. The sepF gene expression pattern was characterized by a strong peak at the LDT in HL, but like for the other two genes, the diel variations of sepF expression levels were dramatically reduced in UV-irradiated cells. In both light conditions, the sepF expression

was maximum during the S phase (Fig. 6C). Figure 6 Gene expression patterns of L/D-synchronized Prochlorococcus marinus PCC9511 cultures under HL and UV growth conditions, as measured by qPCR. A,

dnaA. B, ftsZ. C, sepF. The percentage of cells Selleckchem FRAX597 in the S phase of the cell cycle under HL (solid line) and HL+UV (dashed line) are also shown for comparison. Error bars indicate mean deviation for two biological replicates. For each graph, transcript levels were normalized to the reference time point 6:00 in HL condition. Grey Selleck JSH-23 and black bars indicate light and dark periods. Transcript levels of DNA repair genes are moderately affected by UV radiation Analyses of diel expression patterns of six genes representative of different DNA repair pathways were compared between HL and HL+UV conditions (Fig. 7). These patterns were very different among the six genes, suggesting a refined orchestration of the different pathways. A first set of DNA repair genes, including phrA (PMM0285), which codes for a DNA photolyase and uvrA (PMM1712), encoding the subunit A of the excinuclease

UvrABC, an enzyme of the nucleotide excision DNA repair (NER) pathway, was strongly expressed during the light period. Their expression levels followed more or less closely the diel cycle of irradiance (Fig. 7A). Interestingly, the relative expression levels of both genes were already high under HL and exposure to UV radiations did not provoke any further increase of these levels, even at midday. The only notable difference between the HL and HL+UV profiles was a slightly https://www.selleckchem.com/products/nct-501.html higher expression level at 9:00 am for both genes in the former condition (Fig. 7A). next Figure 7 Gene expression patterns of L/D-synchronized Prochlorococcus marinus PCC9511 cultures under HL and UV growth conditions, as measured by qPCR. A, phrA and uvrA. B, mutS and ruvC. C, recA and umuC. The percentage of cells in the S phase of the cell cycle under HL (solid line) and HL+UV (dashed line) are also shown for comparison. Error bars indicate mean deviation for two biological replicates. For each graph, transcript levels were normalized to the reference time point 6:00 in HL condition. Grey and black bars indicate light and dark periods.

GDC-

PSI-7977 mw A multiple logistic regression was used to

estimate associations between “much or a little higher” perception of fracture risk and the seven individual FRAX risk factors; estimates for number of FRAX factors and osteoporosis diagnosis are from separate logistic regressions models. We did not adjust for age, as the outcome is perceived risk compared to women of the same age. Results Patient characteristics A total of 60,393 patients from practices of 723 physicians were enrolled in the study between October 2006 and February 2008. Approximately 25,000 women came from eight sites and 274 physician practices in Europe; 28,000 subjects were from 255 practices in the United States (US), and almost 7000 patients came from 86 practices in Canada and Australia. Among these women, 35% (20,345/58,434) rated their risk of fracturing or breaking a bone to be “much lower” or “a little lower” than that of women of the same age, 46% (27,138/58,434) said their risk was “about the same,” and 19% (10,951/58,434) rated their risk as “a little higher” or “much higher” than women of the same age (Table 1). Table 1 Perception of fracture risk compared with women of same age, by patient characteristic (n = 60,393) Group Perception of risk compared with women of same age (%) Much or a little lower

selleck chemical (n = 20,345) About the same (n = 27,138) Much or a little higher (n = 10,951) All women 35 (20,345/58,434) 46 (27,138/58,434) 19 (10,951/58,434) Age group (years)  55 to 64 33 (7,374/22,632) 49 (11,192/22,632) 18 (4,066/22,632)  65 to 74 37 (7,574/20,672) 45 (9,377/20,672) 18 (3,721/20,672)  ≥75 36 (5,397/15,130) 43 (6,569/15,130) 21 (3,164/15,130) Regiona  Australia 37 (1,049/2,865) 46 (1,324/2,865) 17 (492/2,865) either  Canada 33 (1,286/3,882)

48 (1,877/3,882) 19 (719/3,882)  Northern Europeb 33 (4,427/13,334) 53 (7,014/13,334) 14 (1,893/13,334) (26–47) (38–61) (13–15) (706/2,715–1,556/3,298) (1,244/3,298–1,678/2,715) (331/2,715–498/3,298)  Southern Europec 31 (3,359/10,887) 49 (5,308/10,887) 20 (2,220/10,887) (19–37) (45–53) (15–28) (518/2,828–1,227/3,320) (1,432/3,135–1,538/2,828) (509/3,320–772/2,828)  USA 37 (10,224/27,466) 42 (11,615/27,466) 20 (5,627/27,466) (33–43) (39–44) (15–23) (1,359/4,145–1,704/3,969) (1,180/3,066–1,832/4,145) (590/3,969–717/3,074) aAge standardized to the GLOW population; range of regional site rates in brackets bBelgium, Germany, The Netherlands, United Kingdom cFrance, Italy, Spain Subgroup Selleckchem BB-94 analyses When perceptions were viewed by age, the distributions were similar for the three age groups (Table 1), with a slightly greater proportion (21%, 3,164/10,951) of women 75 years and older considering themselves to be at higher risk for fracture.