Students’ Emotive Reasoning Through Place-Based Environmental Socioscientific Issues

Research in Science Education - Engaging environmental socioscientific issues (SSI) requires navigating diverse positions regarding people and nature. This qualitative investigation determined how...     

Travelling the Unpaved Road to Democracy from Communism: A Cross‐Cultural Perspective on Change

The basic subject of this article is change, how one copes with it, how it can or cannot be guided. More specifically, the author, a Czech‐American scholar, examines the processes and the trauma of the post‐1989 transition in his country of birth with an eye to how education, particularly higher education, can contribute to a successful outcome to transition affecting all of society while undergoing transition itself. Crucial to the presentation and arguments of the author is his conviction that the period of communist rule in Czechoslovakia, as in the other central and eastern European countries, was intellectually and morally damaging. For the citizens of the Czech Republic as well as for those of the other central and eastern European countries who also experienced communism and who are now trying to recover from it, it is necessary that they develop a clear understanding of what communism really represented and what it did to them. For them to gain this understanding, the catharsis that goes with it, and the possibility of developing successful reforms that will move their countries forward in a constructive way, they must develop a number of cross‐cultural skills through familiarity with a number of social science and educational disciplines that were more‐or‐less closed to them. The author proposes ways in which these skills can be learned and education at all levels profoundly reformed.     

Screening for lead poisoning in urban school children of southern India using capillary and venous blood samples

Our study aimed at comparing lead and zinc protoporphyrin (ZPP) levels in capillary and venous blood samples in a small population and to employ an easier method of sample collection for a major screening program in school children in major Indian cities. An awareness program on lead and its effects was conducted in two different schools. A total of thirty urban school children from South India, with an age group between 4–12 years consented for dual blood sampling and reported for the study. Venous and capillary blood samples were obtained simultaneously. Blood lead and zinc protoporphyrin (ZPP) levels were estimated using ESA Lead Analyzer and Haematofluorometer respectively. A significant correlation between capillary and venous ZPP (r=0.98) and lead (r=0.99) was observed. Rank sum test showed that there is no statistically significant difference between capillary and venous ZPP (P=0.891) and lead (P=0.672) values. This pilot study recommends that screening for lead may be done using capillary blood samples since significant correlation is observed between capillary and venous blood measurements. Obtaining samples using this mode is a non-invasive, less expensive, quick and easy method in children. Appropriately performed capillary sampling may be considered as an acceptable alternative to venipuncture for screening of blood for lead poisoning both in children and adults.     

Erscheinungsbasierte statistische Objekterkennung

Zusammenfassung.   Die automatische Erkennung und Lokalisation von Objekten in digitalen Bildern ist ein wesentlicher Bestandteil vieler praktisch relevanter Anwendungen. In diesem Artikel wird ein erscheinungsbasiertes Verfahren zur Erkennung starrer zwei- oder dreidimensionaler Objekte vorgestellt, dem eine statistische Modellierung zugrundeliegt. Im Gegensatz zu segmentierungsbasierten Verfahren, wie sie vor allem im Bereich der 3D-Objekterkennung eingesetzt werden, erm?glicht der erscheinungsbasierte Ansatz aufgrund der Modellierung der Intensit?tswerte oder davon abgeleiteter lokaler Merkmale eines Bildes die Erkennung komplexer Objekte. Die statistische Formulierung der Problemstellung bildet den mathematischen Kontext zur Bestimmung optimaler L?sungen. Die Form der Modellierung erlaubt neben der Einzelobjekterkennung auch die Berücksichtigung von heterogenem Bildhintergrund und Mehrobjektszenen. Die dazu ben?tigten lokalen Merkmale entstehen durch r?umlich begrenzte Transformationen des Bildes, wie beispielsweise Gabor- oder Wavelet-Transformationen. Die statistische Modellierung beschreibt die Verteilung dieser lokalen Merkmale anhand einer Dichtefunktion, die sich bei der Hintergrund- und Mehrobjektmodellierung als Mischungsverteilung der Einzelobjektverteilungen ergibt. Die Aufgabenstellungen des Erlernens und Erkennens von Objekten sind damit als Parametersch?tzprobleme formal darstellbar. Dabei werden im einen Fall die Modellparameter und im anderen Fall die Lageparameter beziehungsweise die Klassen von Objekten gesch?tzt. Die experimentelle überprüfung des Ansatzes anhand realer Objektaufnahmen durch CCD-Kameras zeigt seine Brauchbarkeit zur Erkennung von 2D- und 3D-Objekten bei homogenem und heterogenem Hintergrund. Eingegangen am 5. April 2000 / Angenommen am 20. Juli 2001     

心路历程--外科手术

一生之中,我们成长的过程就是不断超越自己的过程。不同的经历、不同的体验让我们的生活变得更加丰富,也让我们更加珍惜生活的每一个成功、每一个挫折所带来的感受。