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This paper proposes Systems Thinking as a methodology to better observe, learn, analyse and construct curriculum and pedagogy. Informed by von Bertalanffy’s (1950) principle of Dynamic Equilibrium (Fliessgleichgewich), Systems Thinking presents a means to consider complex systems as continuously breaking down and rebuilding to adapt and maintain function. In addition, I refer to two root metaphors applied by key systems theorists: (i) Descartes world like a machine (reductionism) and (ii) world like an Ecology (holism) and relate these to a Systems Thinking approach to curriculum construction, pedagogy and learning. I also draw upon the Aristotelian dictum: ‘the whole is greater than its parts’ (gestalt) to illustrate how elements of all systems are interconnected and how the application of Systems Thinking can inform new pedagogical approaches and curriculum design. In explaining how a Systems Thinking approach could apply to curriculum development, I draw on two key theorists who draw their perspectives from organismic biology: Ludwig von Bertalanffy and Fritjof Capra, and compare their concepts with theorists who focus on more organisational and applied perspectives, such as Russell Ackoff and Peter Senge. I link this spectrum of Systems Thinking to curriculum development, by first considering its specific relevance to education through its relationship to applied approaches to learning, such as those proposed by Kurt Fischer and Zheng Yan (1998) and Fischer (2019). I then consider the potential for Systems Thinking to act as an analytical tool, which can be applied to global/national educational policy and practice. By looking at critiques of the reductionist Global Education Reform Movement (GERM) as described by Sahlberg (2012), I consider the ways in which taking a Systems Thinking lens can shift the balance in curriculum design more towards Capra’s proposal for a deeper ecology in learning. Finally, I examine the case of the Australian Curriculum and outline

This paper proposes Systems Thinking as a methodology to better observe, learn, analyse and construct curriculum and pedagogy. Informed by von Bertalanffy’s (1950) principle of Dynamic Equilibrium (Fliessgleichgewich), Systems Thinking presents a means to consider complex systems as continuously breaking down and rebuilding to adapt and maintain function. In addition, I refer to two root metaphors applied by key systems theorists: (i) Descartes world like a machine (reductionism) and (ii) world like an Ecology (holism) and relate these to a Systems Thinking approach to curriculum construction, pedagogy and learning. I also draw upon the Aristotelian dictum: ‘the whole is greater than its parts’ (gestalt) to illustrate how elements of all systems are interconnected and how the application of Systems Thinking can inform new pedagogical approaches and curriculum design. In explaining how a Systems Thinking approach could apply to curriculum development, I draw on two key theorists who draw their perspectives from organismic biology: Ludwig von Bertalanffy and Fritjof Capra, and compare their concepts with theorists who focus on more organisational and applied perspectives, such as Russell Ackoff and Peter Senge. I link this spectrum of Systems Thinking to curriculum development, by first considering its specific relevance to education through its relationship to applied approaches to learning, such as those proposed by Kurt Fischer and Zheng Yan (1998) and Fischer (2019). I then consider the potential for Systems Thinking to act as an analytical tool, which can be applied to global/national educational policy and practice. By looking at critiques of the reductionist Global Education Reform Movement (GERM) as described by Sahlberg (2012), I consider the ways in which taking a Systems Thinking lens can shift the balance in curriculum design more towards Capra’s proposal for a deeper ecology in learning. Finally, I examine the case of the Australian Curriculum and outline

Many immune diseases occur at different rates among people with schizophrenia compared to the general population. Here, we evaluated whether this phenomenon might be explained by shared genetic risk factors. We used data from large genome-wide association studies to compare the genetic architecture of schizophrenia to 19 immune diseases. First, we evaluated the association with schizophrenia of 581 variants previously reported to be associated with immune diseases at genome-wide significance. We identified five variants with potentially pleiotropic effects. While colocalization analyses were inconclusive, functional characterization of these variants provided the strongest evidence for a model in which genetic variation at rs1734907 modulates risk of schizophrenia and Crohn’s disease via altered methylation and expression of EPHB4—a gene whose protein product guides the migration of neuronal axons in the brain and the migration of lymphocytes towards infected cells in the immune system. Next, we investigated genome-wide sharing of common variants between schizophrenia and immune diseases using cross-trait LD score regression. Of the 11 immune diseases with available genome-wide summary statistics, we observed genetic correlation between six immune diseases and schizophrenia: inflammatory bowel disease (rg = 0.12 ± 0.03, P = 2.49 × 10−4), Crohn’s disease (rg = 0.097 ± 0.06, P = 3.27 × 10−3), ulcerative colitis (rg = 0.11 ± 0.04, P = 4.05 × 10–3), primary biliary cirrhosis (rg = 0.13 ± 0.05, P = 3.98 × 10−3), psoriasis (rg = 0.18 ± 0.07, P = 7.78 × 10–3) and systemic lupus erythematosus (rg = 0.13 ± 0.05, P = 3.76 × 10–3). With the exception of ulcerative colitis, the degree and direction of these genetic correlations were consistent with the expected phenotypic correlation based on epidemiological data. Our findings suggest shared genetic risk factors contribute to the epidemiological association of certain immune diseases and schizophrenia.

We performed a meta-analysis of five genome-wide association studies to identify common variants influencing colorectal cancer (CRC) risk comprising 8,682 cases and 9,649 controls. Replication analysis was performed in case-control sets totaling 21,096 cases and 19,555 controls. We identified three new CRC risk loci at 6p21 (rs1321311, near CDKN1A; P = 1.14 × 10(-10)), 11q13.4 (rs3824999, intronic to POLD3; P = 3.65 × 10(-10)) and Xp22.2 (rs5934683, near SHROOM2; P = 7.30 × 10(-10)) This brings the number of independent loci associated with CRC risk to 20 and provides further insight into the genetic architecture of inherited susceptibility to CRC.

Ferro Spain, S.A. ha abordado la viabilidad práctica de la decoración de superficies cerámicas mediante la aplicación de capas de muy reducido espesor mediante el uso de la tecnología de inyección digital por chorro de tinta y, específicamente en lo relativo a efectos y acabados superficiales distintos de la coloración. Se han estudiado los diversos mecanismos que permiten obtener dichos efectos y la influencia de las principales variables. También ha evaluado los resultados obtenidos atendiendo a las normativas vigentes como es el caso del efecto antideslizante

Se han desarrollado un conjunto de diferentes tintas ink-jet, para aplicar como objeto 3D y capas extrafinas con el fin de proteger la decoración realizada mediante tecnología ink-jet. Estas nuevas tintas se obtienen a través del desarrollo de nuevas fritas basadas en estructuras vitro cristalinas monofásicas que permiten obtener efectos cerámicos mediante decoración digital. Las nuevas tintas mejoran la capacidad de aplicación mediante cabezales ink-jet con el fin de conseguir efectos estéticos y decorativos superiores a los obtenidos con la decoración convencional.

Few studies have compared self-report and clinician-administered measures of youth psychopathic features in juvenile-justice settings in terms of antisocial behavior and treatment indices. In a sample of 85 adjudicated delinquents, the predictive validities of the Antisocial Process Screening Device (APSD), the modified Childhood Psychopathy Scale (mCPS), and the Hare Psychopathy Checklist: Youth Version (PCL:YV) were tested. Three indices of institutional antisocial behavior (physical aggression; verbal aggression; administrative infractions) and two indices of treatment progress (time to treatment level promotion; whether treatment levels were dropped) were used as external correlates. The self-report measures (mCPS more so than APSD) were more consistently and strongly related to antisocial behavior and to the days required to progress in treatment than the PCL:YV. The following issues are discussed: (i) implications of the potential impact of measurement format on the understanding and predictive validity of youth psychopathy features and measures; (ii) the differential predictive validity of self-report versus clinician-administered measures; and (iii) the potential practical utility of measures of psychopathic features in youth. Copyright (C) 2004 John Wiley Sons, Ltd.

The agent's annual report proving complete summary of all the work performed during the year. This would include but not limited to systematic records of notes of tasks completed, brief observations of general conditions observed, as well as detailed information regarding certain localities.

The agent's annual report proving complete summary of all the work performed during the year. This would include but not limited to systematic records of notes of tasks completed, brief observations of general conditions observed, as well as detailed information regarding certain localities.

Twenty-nine teams involving 61 analysts used the same dataset to address the same research question: whether soccer referees are more likely to give red cards to dark skin toned players than light skin toned players. Analytic approaches varied widely across teams, and estimated effect sizes ranged from 0.89 to 2.93 in odds ratio units, with a median of 1.31. Twenty teams (69%) found a statistically significant positive effect and nine teams (31%) observed a nonsignificant relationship. Overall 29 different analyses used 21 unique combinations of covariates. We found that neither analysts' prior beliefs about the effect, nor their level of expertise, nor peer-reviewed quality of analysis readily explained variation in analysis outcomes. This suggests that significant variation in the results of analyses of complex data may be difficult to avoid, even by experts with honest intentions. Crowdsourcing data analysis, a strategy by which numerous research teams are recruited to simultaneously investigate the same research question, makes transparent how defensible, yet subjective analytic choices influence research results.

Twenty-nine teams involving 61 analysts used the same dataset to address the same research question: whether soccer referees are more likely to give red cards to dark skin toned players than light skin toned players. Analytic approaches varied widely across teams, and estimated effect sizes ranged from 0.89 to 2.93 in odds ratio units, with a median of 1.31. Twenty teams (69%) found a statistically significant positive effect and nine teams (31%) observed a nonsignificant relationship. Overall 29 different analyses used 21 unique combinations of covariates. We found that neither analysts' prior beliefs about the effect, nor their level of expertise, nor peer-reviewed quality of analysis readily explained variation in analysis outcomes. This suggests that significant variation in the results of analyses of complex data may be difficult to avoid, even by experts with honest intentions. Crowdsourcing data analysis, a strategy by which numerous research teams are recruited to simultaneously investigate the same research question, makes transparent how defensible, yet subjective analytic choices influence research results.

Twenty-nine teams involving 61 analysts used the same dataset to address the same research question: whether soccer referees are more likely to give red cards to dark skin toned players than light skin toned players. Analytic approaches varied widely across teams, and estimated effect sizes ranged from 0.89 to 2.93 in odds ratio units, with a median of 1.31. Twenty teams (69%) found a statistically significant positive effect and nine teams (31%) observed a nonsignificant relationship. Overall 29 different analyses used 21 unique combinations of covariates. We found that neither analysts' prior beliefs about the effect, nor their level of expertise, nor peer-reviewed quality of analysis readily explained variation in analysis outcomes. This suggests that significant variation in the results of analyses of complex data may be difficult to avoid, even by experts with honest intentions. Crowdsourcing data analysis, a strategy by which numerous research teams are recruited to simultaneously investigate the same research question, makes transparent how defensible, yet subjective analytic choices influence research results.

Twenty-nine teams involving 61 analysts used the same dataset to address the same research question: whether soccer referees are more likely to give red cards to dark skin toned players than light skin toned players. Analytic approaches varied widely across teams, and estimated effect sizes ranged from 0.89 to 2.93 in odds ratio units, with a median of 1.31. Twenty teams (69%) found a statistically significant positive effect and nine teams (31%) observed a nonsignificant relationship. Overall 29 different analyses used 21 unique combinations of covariates. We found that neither analysts' prior beliefs about the effect, nor their level of expertise, nor peer-reviewed quality of analysis readily explained variation in analysis outcomes. This suggests that significant variation in the results of analyses of complex data may be difficult to avoid, even by experts with honest intentions. Crowdsourcing data analysis, a strategy by which numerous research teams are recruited to simultaneously investigate the same research question, makes transparent how defensible, yet subjective analytic choices influence research results.

Twenty-nine teams involving 61 analysts used the same dataset to address the same research question: whether soccer referees are more likely to give red cards to dark skin toned players than light skin toned players. Analytic approaches varied widely across teams, and estimated effect sizes ranged from 0.89 to 2.93 in odds ratio units, with a median of 1.31. Twenty teams (69%) found a statistically significant positive effect and nine teams (31%) observed a nonsignificant relationship. Overall 29 different analyses used 21 unique combinations of covariates. We found that neither analysts' prior beliefs about the effect, nor their level of expertise, nor peer-reviewed quality of analysis readily explained variation in analysis outcomes. This suggests that significant variation in the results of analyses of complex data may be difficult to avoid, even by experts with honest intentions. Crowdsourcing data analysis, a strategy by which numerous research teams are recruited to simultaneously investigate the same research question, makes transparent how defensible, yet subjective analytic choices influence research results.