Assessing recent trends in high-latitude Southern Hemisphere surface climate

Understanding the causes of recent climatic trends and variability in the high-latitude Southern Hemisphere is hampered by a short instrumental record. Here, we analyse recent atmosphere, surface ocean and sea-ice observations in this region and assess their trends in the context of palaeoclimate records and climate model simulations. Over the 36-year satellite era, significant linear trends in annual mean sea-ice extent, surface temperature and sea-level pressure are superimposed on large interannual to decadal variability. Most observed trends, however, are not unusual when compared with Antarctic palaeoclimate records of the past two centuries. With the exception of the positive trend in the Southern Annular Mode, climate model simulations that include anthropogenic forcing are not compatible with the observed trends. This suggests that natural variability overwhelms the forced response in the observations, but the models may not fully represent this natural variability or may overestimate the magnitude of the forced response.Support was provided by the following organizations: N.J.A: QEII fellowship and Discovery Project awarded by the Australian Research Council (ARC DP110101161 and DP140102059); M.H.E., ARC Laureate Fellowship (FL100100214); V.M.D., Agence Nationale de la Recherche, project ANR-14-CE01-0001 (ASUMA), and logistical support to French Antarctic studies from the Institut Polaire Paul-Emile Victor (IPEV); B.S., PAGES Antarctica 2k and the ESF-PolarClimate HOLOCLIP project; H.G., the Fonds National de la Recherche Scientifique (F.R.S.-FNRS-Belgium), where he is Research Director; P.O.C., research grant ANPCyT PICT2012 2927; R.L.F., NSF grant 1341621; E.J.S., the Leverhulme Trust; S.T.G., NSF grants OCE-1234473 and PLR-1425989; D.P.S., NSF grant 1235231; NCAR is sponsored by the National Science Foundation (NSF); G.R.S., NSF grants AGS-1206120 and AGS-1407360; D.S., the French ANR CEPS project Green Greenland (ANR-10-CEPL-0008); G.J.M., UK Natural Environment Research Council (NERC) through the British Antarctic Survey research programme Polar Science for Planet Earth; A.K.M., US Department of Energy under contract DE-SC0012457; K.R.C., VUW doctoral scholarship; L.M.F., Australian Research Council (FL100100214); D.J.C., NERC grant NE/H014896/1; C.d.L., UPMC doctoral scholarship; A.J.O., EU grant FP7-PEOPLE-2012-IIF 331615; X.C., the French ANR CLIMICE (ANR-08-CEXC-012-01) and the FP7 PAST4FUTURE (243908) projects; J.A.R., Marsden grant VUW1408; I.E., NSF grant OCE-1357078; T.R.V., the Australian Government's Cooperative Research Centres programme, through the ACE CRC

What Pedagogical Methods Impact Students' Entrepreneurial Propensity?

There is a dearth of research that investigates the effectiveness of different pedagogical methods for teaching entrepreneurship. This paper focuses on three learning design choices: experiential learning, use of teamwork, and focus on quantitative methods. The paper examines pedagogical variables that could contribute to raising student scores on constructs of change, risk taking, goal setting, feedback, and achievement as measured by our customized entrepreneurial propensity survey. Results offer moderate evidence to confirm effects of experiential learning designs for goal-setting and weak evidence for feedback. Additional findings suggest the need for rethinking the role of teamwork in entrepreneurship courses

Vascular risk factors in glaucoma: the results of a national survey

Background The role of vascular risk factors in glaucoma is still being debated. To assess the importance of vascular risk factors in patients with primary open-angle glaucoma (POAG), data from the medical history of 2,879 POAG patients and 973 age-matched controls were collected and analyzed. Methods Design: observational survey. Setting: 35 Italian academic centers. Study population: POAG patients and age-matched controls. In order to reduce bias consecutive patients were included. Observation procedures: data concerning vascular risk factors were collected for all patients with a detailed questionnaire. A complete ophthalmological examination with assessment of intraocular pressure (IOP), visual field, optic disc, and systemic blood pressure was performed. Main outcome measures: the ESH-ESC (European Society of Hypertension-European Society of Cardiology) guidelines were used to calculate the level of cardiovascular risk. Crude and adjusted estimates of the odds ratios (OR) were calculated for all cardiovascular risk factors in POAG and controls. Results The study included 2,879 POAG patients and 973 controls. POAG cases had a significantly higher systolic and diastolic blood pressure (p=0.001) and systolic perfusion pressure (p=0.02) as compared with controls. Also mean IOP was significantly higher in the POAG group (p=0.01), while diastolic perfusion pressure was not significantly different in the two groups. Myopia was more prevalent in the POAG group (23 vs 18%, p=0.005) as well as a positive family history for glaucoma (26 vs 12%, p= 0.004). POAG patients tended to have a higher cardiovascular risk than controls: 63% of glaucoma cases vs 55% of controls (OR: 1.38, p=0.005) had a “high” or “very high” cardiovascular risk. Conclusions The level of cardiovascular risk was significantly higher in glaucoma patients than in controls

Uso de simulador para el análisis de filtros de compatibilidad electromagnética

La complejidad de los sistemas electrónicos ha aumentado con los años. Los simuladores es una herramienta que permite a los ingenieros analizar las distintas configuraciones y condiciones de trabajo de dichos sistemas, reduciendo costos y tiempos de desarrollo. Por lo tanto, su uso es una competencia de importancia en la formación de ingenieros en electrónica. Con esta idea en mente se planteó la formación de un grupo de investigación para estudiar los softwares de simulación para la cátedra de Tecnología Electrónica, en particular, y otras materias de la carrera de Ingeniería en Electrónica, en general. El presente trabajo explica el uso de software de simulación para el análisis de un filtro de Compatibilidad Electromagnética, elemento fundamental en muchos sistemas electrónicos. La elección de este análisis se debe a que el filtro está constituido por componentes pasivos (resistencias, capacitores, inductores), los cuales son estudiados la cátedra de Tecnología Electrónica. A continuación, se realizará una introducción. Se seguirá con un análisis de los simuladores investigados y su selección. Luego se detallan las simulaciones planteadas para el análisis de los filtros, se comentarán los resultados obtenidos y finalmente se expondrán las conclusiones.Red de Universidades con Carreras en Informátic

Automatic Classification of Roof Shapes for Multicopter Emergency Landing Site Selection

Geographic information systems (GIS) now provide accurate maps of terrain, roads, waterways, and building footprints and heights. Aircraft, particularly small unmanned aircraft systems, can exploit additional information such as building roof structure to improve navigation accuracy and safety particularly in urban regions. This paper proposes a method to automatically label building roof shape types. Satellite imagery and LIDAR data from Witten, Germany are fed to convolutional neural networks (CNN) to extract salient feature vectors. Supervised training sets are automatically generated from pre-labeled buildings contained in the OpenStreetMap database. Multiple CNN architectures are trained and tested, with the best performing networks providing a condensed feature set for support vector machine and decision tree classifiers. Satellite and LIDAR data fusion is shown to provide greater classification accuracy than through use of either data type individually

The Impact of Entrepreneurship Education in Higher Education: A Systematic Review and Research Agenda

Using a teaching model framework, we systematically review empirical evidence on the impact of entrepreneurship education (EE) in higher education on a range of entrepreneurial outcomes, analyzing 159 published articles from 2004 to 2016. The teaching model framework allows us for the first time to start rigorously examining relationships between pedagogical methods and specific outcomes. Reconfirming past reviews and meta-analyses, we find that EE impact research still predominantly focuses on short-term and subjective outcome measures and tends to severely underdescribe the actual pedagogies being tested. Moreover, we use our review to provide an up-to-date and empirically rooted call for less obvious, yet greatly promising, new or underemphasized directions for future research on the impact of university-based entrepreneurship education. This includes, for example, the use of novel impact indicators related to emotion and mind-set, focus on the impact indicators related to the intention-to-behavior transition, and exploring the reasons for some contradictory findings in impact studies including person-, context-, and pedagogical model-specific moderator

Learning from post-COVID-19 condition for epidemic preparedness: a variable catalogue for future post-acute infection syndromes

SCOPE: The emergence of post-COVID-19 condition (PCC) after SARS-CoV-2 infection underscores the critical need for preparedness in addressing future post-acute infection syndromes (PAIS), particularly those linked to epidemic outbreaks. The lack of standardized clinical and epidemiological data during the COVID-19 pandemic has significantly hindered timely diagnosis and effective treatment of PCC, highlighting the necessity of pre-emptively standardizing data collection in clinical studies to better define and manage future PAIS. In response, the Cohort Coordination Board, a consortium of European-funded COVID-19 research projects, has reviewed data from PCC studies conducted by its members. This paper leverages the Cohort Coordination Board's expertise to propose a standardized catalogue of variables, informed by the lessons learned during the pandemic, intended for immediate use in the design of future observational studies and clinical trials for emerging infections of epidemic potential. Recommendations: The early implementation of standardized data collection, facilitated by the PAIS data catalogue, is essential for accelerating the identification and management of PAIS in future epidemics. This approach will enable more precise syndrome definitions, expedite diagnostic processes, and optimize treatment strategies, while also supporting long-term follow-up of affected individuals. The availability of harmonized data collection protocols will enhance preparedness across European and international cohort studies, and trials enabling a prompt and coordinated response, as well as more efficient resource allocation, in the event of emerging infections and associated PAIS

Learning from post-COVID-19 condition for epidemic preparedness: a variable catalogue for future post-acute infection syndromes

Scope: The emergence of post-COVID-19 condition (PCC) after SARS-CoV-2 infection underscores the critical need for preparedness in addressing future post-acute infection syndromes (PAIS), particularly those linked to epidemic outbreaks. The lack of standardized clinical and epidemiological data during the COVID-19 pandemic has significantly hindered timely diagnosis and effective treatment of PCC, highlighting the necessity of pre-emptively standardizing data collection in clinical studies to better define and manage future PAIS. In response, the Cohort Coordination Board, a consortium of European-funded COVID-19 research projects, has reviewed data from PCC studies conducted by its members. This paper leverages the Cohort Coordination Board's expertise to propose a standardized catalogue of variables, informed by the lessons learned during the pandemic, intended for immediate use in the design of future observational studies and clinical trials for emerging infections of epidemic potential. Recommendations: The early implementation of standardized data collection, facilitated by the PAIS data catalogue, is essential for accelerating the identification and management of PAIS in future epidemics. This approach will enable more precise syndrome definitions, expedite diagnostic processes, and optimize treatment strategies, while also supporting long-term follow-up of affected individuals. The availability of harmonized data collection protocols will enhance preparedness across European and international cohort studies, and trials enabling a prompt and coordinated response, as well as more efficient resource allocation, in the event of emerging infections and associated PAIS