Fibroblasts derived from oesophageal adenocarcinoma differ in DNA methylation profile from normal oesophageal fibroblasts

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.Oesophageal adenocarcinoma (OAC) is increasing in incidence and has a poor prognosis. Tumour derived fibroblasts (TDFs) differ functionally from normal fibroblasts (NDFs), and play a pivotal role in cancer. Many of the differences persist through subculture. We measured the DNA methylation profiles of 10 TDFs from OAC with 12 NDF from normal oesophageal mucosa using Infinium HumanMethylation450 Beadchips and found they differed in multidimensional scaling analysis. We identified 4,856 differentially methylated CpGs (DMCs, adjusted p  0.15), of which 3,243 (66.8%) were hypomethylated in TDFs compared to NDFs. Hypermethylated DMCs were enriched at transcription start sites (TSSs) and in CpG islands, and depleted in transcriptional enhancers. Gene ontology analysis of genes with DMCs at TSSs revealed an enrichment of genes involved in development, morphogenesis, migration, adhesion, regulation of processes and response to stimuli. Alpha-smooth muscle actin (α-SMA) is a marker of activated fibroblasts and a poor prognostic indicator in OAC. Hypomethylated DMCs were observed at the TSS of transcript variant 2 of α-SMA, which correlated with an increase in α-SMA protein expression. These data suggest that DNA methylation may contribute to the maintenance of the TDF phenotype

Confronting compositional confusion through the characterisation of the sub-Neptune orbiting HD 77946

We report on the detailed characterization of the HD 77946 planetary system. HD 77946 is an F5 ($M_*$ = 1.17 M$_{\odot}$, $R_*$ = 1.31 R$_{\odot}$) star, which hosts a transiting planet recently discovered by NASA's Transiting Exoplanet Survey Satellite (TESS), classified as TOI-1778 b. Using TESS photometry, high-resolution spectroscopic data from HARPS-N, and photometry from CHEOPS, we measure the radius and mass from the transit and RV observations, and find that the planet, HD 77946 b, orbits with period $P_{\rm b}$ = $6.527282_{-0.000020}^{+0.000015}$ d, has a mass of $M_{\rm b} = 8.38\pm{1.32}$M$_\oplus$, and a radius of $R_{\rm b} = 2.705_{-0.081}^{+0.086}$R$_\oplus$. From the combination of mass and radius measurements, and the stellar chemical composition, the planet properties suggest that HD 77946 b is a sub-Neptune with a $\sim$1\% H/He atmosphere. However, a degeneracy still exists between water-world and silicate/iron-hydrogen models, and even though interior structure modelling of this planet favours a sub-Neptune with a H/He layer that makes up a significant fraction of its radius, a water-world composition cannot be ruled out, as with $T_{\rm eq} = 1248^{+40}_{-38}~$K, water may be in a supercritical state. The characterisation of HD 77946 b, adding to the small sample of well-characterised sub-Neptunes, is an important step forwards on our journey to understanding planetary formation and evolution pathways. Furthermore, HD 77946 b has one of the highest transmission spectroscopic metrics for small planets orbiting hot stars, thus transmission spectroscopy of this key planet could prove vital for constraining the compositional confusion that currently surrounds small exoplanets

Influence of firm size on the competencies required to management engineers in the Jordanian telecommunications sector

This is an Accepted Manuscript of an article published by Taylor & Francis in European Journal of Engineering Education on [13 jun 2016], available online:http://www.tandfonline.com/ doi/abs/10.1080/03043797.2016.1197890.[EN] The objective of this study is to identify the competencies required to achieve success in the transition from higher education to the labour market based on the perceptions of employers. This paper analyses the assessments made by a group of engineering company employers. An item-battery of 20 competencies was grouped into 3 dimensions by using factor analysis. Subsequently, respondents scores were also clustered into three groups and characterised through contingency tables. The competencies demanded by employers were grouped into business and finance, problem-solving and strategic planning. Significant differences were found between responses from employers working in medium and small companies, who placed more importance on competencies related to problem-solving and strategic planning, and employers in big companies, who were more concerned about the difficulties of finding well-trained graduates. The findings from this paper have important implications for research in the areas of higher education and organisations that usually employ graduate engineers.The authors would like to thank the Education, Audiovisual and Culture Executive Agency (EACEA) [Tempus program. Project number 511074] of the European Commission for providing funding for conducting this study. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.Conchado Peiró, A.; Bas Cerdá, MDC.; Gharaibeh, KM.; Kaylani, H. (2016). Influence of firm size on the competencies required to management engineers in the Jordanian telecommunications sector. European Journal of Engineering Education. 1-14. doi:10.1080/03043797.2016.1197890S114ALLEN, J., & DE WEERT, E. (2007). What Do Educational Mismatches Tell Us About Skill Mismatches? A Cross-country Analysis. European Journal of Education, 42(1), 59-73. doi:10.1111/j.1465-3435.2007.00283.xBarrella, E. M., & Buffinton, K. W. (2009). Corporate Assessment of Strategic Issues in Technology Management. Engineering Management Journal, 21(1), 27-33. doi:10.1080/10429247.2009.11431795Bartram, D., Lindley, P. A., Marshall, L., & Foster, J. (1995). The recruitment and selection of young people by small businesses. Journal of Occupational and Organizational Psychology, 68(4), 339-358. doi:10.1111/j.2044-8325.1995.tb00592.xBehrends, T. (2007). Recruitment Practices in Small and Medium Size Enterprises. An Empirical Study among Knowledge-intensive Professional Service Firms. management revu, 18(1), 55-74. doi:10.5771/0935-9915-2007-1-55Boshuizen, H. P. A. (s. f.). Does Practice Make Perfect? Innovation and Change in Professional Education, 73-95. doi:10.1007/1-4020-2094-5_5Branine, M. (2008). Graduate recruitment and selection in the UK. Career Development International, 13(6), 497-513. doi:10.1108/13620430810901660Butler, C. J., & Chinowsky, P. S. (2006). Emotional Intelligence and Leadership Behavior in Construction Executives. Journal of Management in Engineering, 22(3), 119-125. doi:10.1061/(asce)0742-597x(2006)22:3(119)Carbone, T. A., & Gholston, S. (2004). Project Manager Skill Development: A Survey of Programs and Practitioners. Engineering Management Journal, 16(3), 10-16. doi:10.1080/10429247.2004.11415252Cassell, C., Nadin, S., Gray, M., & Clegg, C. (2002). Exploring human resource management practices in small and medium sized enterprises. Personnel Review, 31(6), 671-692. doi:10.1108/00483480210445962Cattell, R. B., & Vogelmann, S. (1977). A Comprehensive Trial Of The Scree And Kg Criteria For Determining The Number Of Factors. Multivariate Behavioral Research, 12(3), 289-325. doi:10.1207/s15327906mbr1203_2Chan, A. P. C., Ho, D. C. K., & Tam, C. M. (2001). Effect of Interorganizational Teamwork on Project Outcome. Journal of Management in Engineering, 17(1), 34-40. doi:10.1061/(asce)0742-597x(2001)17:1(34)Coll, R. K., & Zegwaard, K. E. (2006). Perceptions of desirable graduate competencies for science and technology new graduates. Research in Science & Technological Education, 24(1), 29-58. doi:10.1080/02635140500485340Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. doi:10.1007/bf02310555Dekker, R., de Grip, A., & Heijke, H. (2002). The effects of training and overeducation on career mobility in a segmented labour market. International Journal of Manpower, 23(2), 106-125. doi:10.1108/01437720210428379Elfenbein, D. W., Hamilton, B. H., & Zenger, T. R. (2010). The Small Firm Effect and the Entrepreneurial Spawning of Scientists and Engineers. Management Science, 56(4), 659-681. doi:10.1287/mnsc.1090.1130Farr, J. V., & Brazil, D. M. (2009). Leadership Skills Development for Engineers. Engineering Management Journal, 21(1), 3-8. doi:10.1080/10429247.2009.11431792Garen, J. E. (1985). Worker Heterogeneity, Job Screening, and Firm Size. Journal of Political Economy, 93(4), 715-739. doi:10.1086/261327Gharaibeh, K. M., Kaylani, H., Murphy, N., Brennan, C., Itradat, A., Al-Bataineh, M., … Bany Salameh, H. (2014). A Masters Programme in telecommunications management – demand-based curriculum design. European Journal of Engineering Education, 40(3), 267-284. doi:10.1080/03043797.2014.944104Hayes, J., Rose‐Quirie, A., & Allinson, C. W. (2000). Senior managers’ perceptions of the competencies they require for effective performance: implications for training and development. Personnel Review, 29(1), 92-105. doi:10.1108/00483480010295835Hersch, J. (1991). Education Match and Job Match. The Review of Economics and Statistics, 73(1), 140. doi:10.2307/2109696Hoegl, M., & Parboteeah, K. P. (2007). Creativity in innovative projects: How teamwork matters. Journal of Engineering and Technology Management, 24(1-2), 148-166. doi:10.1016/j.jengtecman.2007.01.008Hoegl, M., Praveen Parboteeah, K., & Gemuenden, H. G. (2003). When teamwork really matters: task innovativeness as a moderator of the teamwork–performance relationship in software development projects. Journal of Engineering and Technology Management, 20(4), 281-302. doi:10.1016/j.jengtecman.2003.08.001Van Hoorn, T. P. (1979). Strategic planning in small and medium-sized companies. Long Range Planning, 12(2), 84-91. doi:10.1016/0024-6301(79)90076-1HUSELID, M. A. (1995). THE IMPACT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON TURNOVER, PRODUCTIVITY, AND CORPORATE FINANCIAL PERFORMANCE. Academy of Management Journal, 38(3), 635-672. doi:10.2307/256741Kaiser, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23(3), 187-200. doi:10.1007/bf02289233Kaufman, L., & Rousseeuw, P. J. (Eds.). (1990). Finding Groups in Data. Wiley Series in Probability and Statistics. doi:10.1002/9780470316801Krug, J. (1997). People Skills: Teamwork. Journal of Management in Engineering, 13(2), 15-16. doi:10.1061/(asce)0742-597x(1997)13:2(15)Male, S. A., Bush, M. B., & Chapman, E. S. (2010). Perceptions of Competency Deficiencies in Engineering Graduates. Australasian Journal of Engineering Education, 16(1), 55-68. doi:10.1080/22054952.2010.11464039Mao, X., Zhang, X., & AbouRizk, S. M. (2009). Enhancing Value Engineering Process by Incorporating Inventive Problem-Solving Techniques. Journal of Construction Engineering and Management, 135(5), 416-424. doi:10.1061/(asce)co.1943-7862.0000001Mendelsohn, R. (1998). Teamwork—The Key to Productivity. Journal of Management in Engineering, 14(1), 22-25. doi:10.1061/(asce)0742-597x(1998)14:1(22)Moore, B. V. (1921). Personnel selection of graduate engineers: The differentiation of apprentice engineers for training as salesmen, designers, and executives of production. Psychological Monographs, 30(5), i-85. doi:10.1037/h0093191Moy, J. W., & Lee, S. M. (2002). The career choice of business graduates: SMEs or MNCs? Career Development International, 7(6), 339-347. doi:10.1108/13620430210444367Nair, C. S., Patil, A., & Mertova, P. (2009). Re-engineering graduate skills – a case study. European Journal of Engineering Education, 34(2), 131-139. doi:10.1080/03043790902829281Passow, H. J. (2012). Which ABET Competencies Do Engineering Graduates Find Most Important in their Work? Journal of Engineering Education, 101(1), 95-118. doi:10.1002/j.2168-9830.2012.tb00043.xPinnington, A. H. (2011). Competence development and career advancement in professional service firms. Personnel Review, 40(4), 443-465. doi:10.1108/00483481111133336Reio, T. G., & Sutton, F. C. (2006). Employer assessment of work-related competencies and workplace adaptation. Human Resource Development Quarterly, 17(3), 305-324. doi:10.1002/hrdq.1176Robar, T. Y. (1998). Communication and Career Advancement. Journal of Management in Engineering, 14(2), 26-28. doi:10.1061/(asce)0742-597x(1998)14:2(26)Rowold, J., & Kauffeld, S. (2008). Effects of career‐related continuous learning on competencies. Personnel Review, 38(1), 90-101. doi:10.1108/00483480910920732Ruiz-Mercader, J., Meroño-Cerdan, A. L., & Sabater-Sánchez, R. (2006). Information technology and learning: Their relationship and impact on organisational performance in small businesses. International Journal of Information Management, 26(1), 16-29. doi:10.1016/j.ijinfomgt.2005.10.003Soliman, F., & Spooner, K. (2000). Strategies for implementing knowledge management: role of human resources management. Journal of Knowledge Management, 4(4), 337-345. doi:10.1108/13673270010379894Srour, I., Abdul-Malak, M.-A., Itani, M., Bakshan, A., & Sidani, Y. (2013). Career Planning and Progression for Engineering Management Graduates: An Exploratory Study. Engineering Management Journal, 25(3), 85-100. doi:10.1080/10429247.2013.11431985Sunindijo, R. Y., Hadikusumo, B. H., & Ogunlana, S. (2007). Emotional Intelligence and Leadership Styles in Construction Project Management. Journal of Management in Engineering, 23(4), 166-170. doi:10.1061/(asce)0742-597x(2007)23:4(166)Tanova, C. (2003). Firm size and recruitment: staffing practices in small and large organisations in north Cyprus. Career Development International, 8(2), 107-114. doi:10.1108/13620430310465534Teichler, U. (1999). Higher education policy and the world of work: changing conditions and challenges. Higher Education Policy, 12(4), 285-312. doi:10.1016/s0952-8733(99)00019-7Tsang, M. C., & Levin, H. M. (1985). The economics of overeducation. Economics of Education Review, 4(2), 93-104. doi:10.1016/0272-7757(85)90051-2Ward, J. H. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 58(301), 236-244. doi:10.1080/01621459.1963.10500845Zenger, T. R. (1994). Explaining Organizational Diseconomies of Scale in R&D: Agency Problems and the Allocation of Engineering Talent, Ideas, and Effort by Firm Size. Management Science, 40(6), 708-729. doi:10.1287/mnsc.40.6.708Zenger, T. R., & Lazzarini, S. G. (2004). Compensating for innovation: Do small firms offer high-powered incentives that lure talent and motivate effort? Managerial and Decision Economics, 25(67), 329-345. doi:10.1002/mde.119

The effect of multiple productions on the single word production of people with acquired speech sound production difficulties: An analysis of two cases

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Un programme court de TCCi en groupe par visioconférence dans l'insomnie modifie-t-il les croyances erronées ?

International audienceIntroduction: The Morphee Sleep network runs a short group CBT programme. During the pandemic, the programme was administered by videoconference. The programme focuses on behavioral modification. The objective of our study was to evaluate whether the videoconference programme produced changes in dysfunctional beliefs about sleep and whether these changes were linked to improvements in insomnia. Methods: Observational study of 3 × 90 minute sessions of group CBT by videoconference over one month delivered by experienced psychologists. The outcome measures : insomnia severity scale (ISI), dysfunctional beliefs and attitudes about sleep short version (DBAS 16), hospital anxiety and depression scale (subscales depression HADD and anxiety HADA), and epworth sleepiness scale (ESS) completed before session 1 and at the end of session 3. The effectiveness of the programme on insomnia was evaluated by the decrease in the ISI score : full response R+ (>7 points), partial response, R- (4 - 6 points) non response, NR (9 points) and no response CNR (<9 points). Results: There were fifty-five participants, 64 % women with a mean age of 49.1 ± 16.1 years. The DBAS 16 was reduced by 6.12 ± 1.29 to 5.09 ± 1.57 (P< 0.0001) with 67 % of participants showing a response CR. The ISI score reduced from 17.7 ± 3.6 to 14.0 ± 4.9 (P< 0.0001) with 49 % showing at least a partial response (R+ and R-). A significant correlation (0.327, P = 0.015) between the CBT response and dysfunctional beliefs about sleep was observed with a significant reduction in the DBAS 16 between responders R+ and non-responders (R+ vs. NR 1.67 ± 1.3 vs. 0.57 ± 1.28 P = 0.012). Seventy-nine of R+ showed improvements in the DBAS 16 vs. 69 % of R- and 61 % of non-responders NR. Conclusion: A short group CBT programme by videoconference focused on behavioral modification can reduce dysfunctional beliefs about sleep

Modular Sensor Architecture for Unobtrusive Routine Clinical Diagnosis

Clinical diagnosis of pathological conditions is accomplished regularly via the recording and subsequent analysis of a physiological variable from a subject. Problems with current common practice centre around the obtrusive and rigid nature of this process. These include the length, timing and location of the diagnostic recording session, transfer of data to clinical staff, liaison between clinical staff and subjects and the integration of such diagnostic check-ups into the overall health care process

Confronting compositional confusion through the characterization of the sub-Neptune orbiting HD 77946

We report on the detailed characterization of the HD 77946 planetary system. HD 77946 is an F5 (M*  = 1.17 M⊙, R*  = 1.31 R⊙) star, which hosts a transiting planet recently discovered by NASA’s Transiting Exoplanet Survey Satellite (TESS), classified as TOI-1778 b. Using TESS photometry, high-resolution spectroscopic data from HARPS-N, and photometry from CHEOPS, we measure the radius and mass from the transit and radial velocity observations, and find that the planet, HD 77946 b, orbits with period Pb  =  d, has a mass of Mb = 8.38 ± 1.32 M⊕, and a radius of R⊕. From the combination of mass and radius measurements, and the stellar chemical composition, the planet properties suggest that HD 77946 b is a sub-Neptune with a ∼1  per cent H/He atmosphere. However, a degeneracy still exists between water-world and silicate/iron-hydrogen models, and even though interior structure modelling of this planet favours a sub-Neptune with a H/He layer that makes up a significant fraction of its radius, a water-world composition cannot be ruled out, as with K, water may be in a supercritical state. The characterization of HD 77946 b, adding to the small sample of well-characterized sub-Neptunes, is an important step forwards on our journey to understanding planetary formation and evolution pathways. Furthermore, HD 77946 b has one of the highest transmission spectroscopic metrics for small planets orbiting hot stars, thus transmission spectroscopy of this key planet could prove vital for constraining the compositional confusion that currently surrounds small exoplanets.</p

CliMA/Oceananigans.jl: v0.87.4

Oceananigans v0.87.4 Diff since v0.87.3 Merged pull requests: Deal with x ⇆ y, λ ⇆ φ, etc when filling halos for metrics/coords in ConformalCubedSphereGrid (#3256) (@navidcy) Rename return_metrics -> coordinates (#3257) (@navidcy) Update dependencies and use Julia 1.9.3 for CI (#3258) (@navidcy) (0.87.4) Add missing with_advective_forcing method (#3259) (@glwagner) Closed issues: Evolving perturbations vs total fields in Nonhydrostatic model (#3251) Rename return_metrics since it returns coordinates, not metrics (#3253) Metrics across ConformalCubedSphereGrid panels (#3254

CliMA/Oceananigans.jl: v0.88.0

Oceananigans v0.88.0 Diff since v0.87.4 Merged pull requests: (0.88.0) MPI communication and computation overlap in the HydrostaticFreeSurfaceModel and NonhydrostaticModel (#3125) (@simone-silvestri) Linear time interpolation in FieldTimeSeries (#3236) (@simone-silvestri) Fill metrics for halo regions for OrthogonalSphericalShellGrid (#3239) (@navidcy) Fix docstring for RectilinearGrid grid metrics (#3255) (@navidcy) Cubed sphere tracer advection script (#3266) (@glwagner) Remove some type instabilities (#3271) (@navidcy) Closed issues: Overlapping computation and MPI halo communication (#615) Abstraction for configuring kernels (#3067) Offsetting kernel indices (#3068) Velocity profile of channel flow case has difference with log-law (#3195) OrthogonalSphericalShellGrid metrics and coordinates are missing values in halo points (#3198) Advection of tracer with prescribed or constant velocities over a ConformalCubedSphereGrid (#3204) Should grid be a positional argument to model constructors? (#3250) RectilinearGrid metrics are described wrong in the docstring (#3252) GPU illegal memory access (#3267) Does Oceananigans support coastal modelling? (#3269