Chlorido(η4-1,5-cyclo­octa­diene)[(penta­fluoro­eth­yl)diphenyl­phosphane]iridium(I)

The title structure,[IrCl(C8H12)(C14H10F5P)], reveals that (C2F5)PPh2 (penta­fluoro­ethyl­diphenyl­phosphane or pfepp) disrupts the iridium dimer [(cod)IrCl]2 (cod = cyclo­octa-1,5-diene) by rupturing the bridging chloride ligands and binding in the open coordination site to form (cod)Ir(pfepp)Cl with the IrI atom in a distorted square-planar coordination environment. The structure deviates very little from the IrI–triphenyl­phosphine analog, although a significantly (∼20σ) shorter Ir—P bond is noted for the title compound

Unpacking and validating the 'integration' core concept of physiology by an Australian team

Consensus was reached on seven core concepts of physiology using the Delphi method, including “integration,” outlined by the descriptor “cells, tissues, organs, and organ systems interact to create and sustain life.” This core concept was unpacked by a team of 3 Australian physiology educators into hierarchical levels, identifying 5 themes and 10 subthemes, up to 1 level deep. The unpacked core concept was then circulated among 23 experienced physiology educators for comments and to rate both level of importance and level of difficulty for each theme and subtheme. Data were analyzed using a one-way ANOVA to compare between and within themes. The main theme (theme 1: the body is organized within a hierarchy of structures, from atoms to molecules, cells, tissues, organs, and organ systems) was almost universally rated as Essential. Interestingly, the main theme was also rated between Slightly Difficult to Not Difficult, which was significantly different from all other subthemes. There were two separate subsets of themes in relation to importance, with three themes rating between Essential and Important and the two other themes rating as Important. Two subsets in the difficulty of the main themes were also identified. While many core concepts can be taught concurrently, Integration requires the application of prior knowledge, with the expectation that learners should be able to apply concepts from “cell-cell communication,” “homeostasis,” and “structure and function,” before understanding the overall Integration core concept. As such, themes from the Integration core concept should be taught within the endmost semesters of a Physiology program. NEW &amp; NOTEWORTHY This article proposes the inclusion of a core concept regarding “integration” into physiology-based curricula, with the descriptor “cells, tissues, organs, and organ systems interact to create and sustain life.” This concept expands prior knowledge and applies physiological understanding to real-world scenarios and introduces contexts such as medications, diseases, and aging to the student learning experience. To comprehend the topics within the Integration core concept, students will need to apply learned material from earlier semesters.</p

Unpacking the 'movement of substances' core concept of physiology by an Australian team

Australia-wide consensus was reached on seven core concepts of physiology. The “movement of substances” core concept with the descriptor “the movement of substances (ions or molecules) is a fundamental process that occurs at all levels of organization in the organism” was unpacked by a team of three Australian physiology educators from the Delphi Task Force into hierarchical levels. There were 10 themes and 23 subthemes arranged in a hierarchy, some 3 levels deep. Using a 5-point Likert scale, the unpacked core concept was then rated for level of importance for students to understand (ranging from 1 = Essential to 5 = Not Important) and level of difficulty for students (ranging from 1 = Very Difficult to 5 = Not Difficult) by the 23 physiology educators from different Australian universities, all with a broad range of teaching and curriculum experience. Survey data were analyzed using a one-way ANOVA to compare between and within concept themes. The main themes all were rated on average as important. There was a wide range of difficulty ratings and more variation for this concept compared with the other core concepts. This may in part be due to the physical forces such as gravity, electrochemistry, resistance, and thermodynamics that underpin this concept, which in themselves are inherently complex. Separation of concepts into subthemes can help prioritize learning activities and time spent on difficult concepts. Embedding of core concepts across curricula will allow commonality and consistency between programs of study and inform learning outcomes, assessment, and teaching and learning activities. NEW &amp; NOTEWORTHY This article unpacks the core concept of the “movement of substances” within the body, with the aim to produce a resource that will help guide the teaching of physiology at tertiary education institutes in Australia. The concept introduces fundamental knowledge of the factors that drive substance movement and then applies them in physiological contexts.</p

A Comparison of Rule-based Analysis with Regression Methods in Understanding the Risk Factors for Study Withdrawal in a Pediatric Study

Regression models are extensively used in many epidemiological studies to understand the linkage between specific outcomes of interest and their risk factors. However, regression models in general examine the average effects of the risk factors and ignore subgroups with different risk profiles. As a result, interventions are often geared towards the average member of the population, without consideration of the special health needs of different subgroups within the population. This paper demonstrates the value of using rule-based analysis methods that can identify subgroups with heterogeneous risk profiles in a population without imposing assumptions on the subgroups or method. The rules define the risk pattern of subsets of individuals by not only considering the interactions between the risk factors but also their ranges. We compared the rule-based analysis results with the results from a logistic regression model in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Both methods detected a similar suite of risk factors, but the rule-based analysis was superior at detecting multiple interactions between the risk factors that characterize the subgroups. A further investigation of the particular characteristics of each subgroup may detect the special health needs of the subgroup and lead to tailored interventions

Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report

International audienceThe Deep Underground Neutrino Experiment (DUNE) is an international, world-class experiment aimed at exploring fundamental questions about the universe that are at the forefront of astrophysics and particle physics research. DUNE will study questions pertaining to the preponderance of matter over antimatter in the early universe, the dynamics of supernovae, the subtleties of neutrino interaction physics, and a number of beyond the Standard Model topics accessible in a powerful neutrino beam. A critical component of the DUNE physics program involves the study of changes in a powerful beam of neutrinos, i.e., neutrino oscillations, as the neutrinos propagate a long distance. The experiment consists of a near detector, sited close to the source of the beam, and a far detector, sited along the beam at a large distance. This document, the DUNE Near Detector Conceptual Design Report (CDR), describes the design of the DUNE near detector and the science program that drives the design and technology choices. The goals and requirements underlying the design, along with projected performance are given. It serves as a starting point for a more detailed design that will be described in future documents

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation