Can adaptive expertise, reflective practice, and activity theory help achieve systems-based practice and collective competence?

Physicians must function as integral members of the complex social systems in which they work to support the health of their patients; competency-based education frameworks describe this function of physicians in terms of systems-based practice, advocacy, and collaboration. Yet education for these social competencies continues to present challenges, perhaps because medical education has tended to focus less on social systems and more on traditional healthcare systems. In this paper, we use a clinical example from the discipline of Developmental Pediatrics, that of early identification of autism spectrum disorder (ASD), as an illustration of a socially complex zone of practice necessitating systems-based practice. We first explore this practice context through the framings of collective competence and activity theory to represent the complex practices and systems involved in identifying ASD. We then align these framings of the practice context and complexity with two bodies of education theory, adaptive expertise and reflective practice. We argue that these approaches to education will prepare learners to be more aware of and responsive to the dynamic needs of the complex and intersecting systems in which they will practice

Spiral groove face seal development for SNAP 8 Final report, 31 May 1968 - 7 Aug. 1970

Spiral groove face seal development for SNAP

The coefficient of digestion as influenced by the plane of nutrition of the animal

Approved, P.F. Trowbridge, May 7-1914TypescriptM.A. University of Missouri 1914A review of the literature reporting digestion experiments shows that but few investigators have studied the problem of digestion from the point of view of the influence of the condition of the animal on its ability to assimilate food. This thesis attempts to fill in that gap.Includes bibliographical reference

Caching-Aided Collaborative D2D Operation for Predictive Data Dissemination in Industrial IoT

Industrial automation deployments constitute challenging environments where moving IoT machines may produce high-definition video and other heavy sensor data during surveying and inspection operations. Transporting massive contents to the edge network infrastructure and then eventually to the remote human operator requires reliable and high-rate radio links supported by intelligent data caching and delivery mechanisms. In this work, we address the challenges of contents dissemination in characteristic factory automation scenarios by proposing to engage moving industrial machines as device-to-device (D2D) caching helpers. With the goal to improve reliability of high-rate millimeter-wave (mmWave) data connections, we introduce the alternative contents dissemination modes and then construct a novel mobility-aware methodology that helps develop predictive mode selection strategies based on the anticipated radio link conditions. We also conduct a thorough system-level evaluation of representative data dissemination strategies to confirm the benefits of predictive solutions that employ D2D-enabled collaborative caching at the wireless edge to lower contents delivery latency and improve data acquisition reliability

Figure dell’apocalissi nella poesia di Eugenio Montale: verso una metafisica dell’inesistenza?

A partire da un’affermazione di E. Sanguineti sulla metafisicadell’inesistenza in Montale, si studia qui la presenza del tema apocalittico (inteso sia come rivelazione che come catastrofe) in una problematica moderna e laica. Dalla donna-angelo de Le occasioni e La bufera, all’angelo nero di Satura, fino alla Morgana del Quaderno di quattro anni, si analizzano la compresenza o evoluzione di registri e figure e si tentanoalcune sintesi della poetica montaliana.A partire da un’affermazione di E. Sanguineti sulla metafisicadell’inesistenza in Montale, si studia qui la presenza del tema apocalittico (inteso sia come rivelazione che come catastrofe) in una problematica moderna e laica. Dalla donna-angelo de Le occasioni e La bufera, all’angelo nero di Satura, fino alla Morgana del Quaderno di quattro anni, si analizzano la compresenza o evoluzione di registri e figure e si tentanoalcune sintesi della poetica montaliana

Multimedia content delivery for emerging satellite networks

Multimedia content delivery over satellite systems is considered as a promising service in the emerging networks. The aim of this work is to design a novel radio resource management (RRM) algorithm for efficiently managing multicast multimedia content transmission over satellite network. The proposed approach performs the spectrum management on a per-group basis, by splitting multicast terminals into different subgroups according to the experienced channel qualities. We demonstrate that subgrouping policy defined by the authors as multicast subgrouping-maximum satisfaction index (MS-MSI), is based on a new metric (i.e., MSI), which overcomes the weakness of the previous techniques proposed in literature and provides the best trade-off between user throughput and fairness. As a further result, we demonstrate that MS-MSI is robust to the long propagation delay of satellite links. An extensive simulation campaign has been conducted by considering several satellite environments

Thermal analysis of a cold room

The purpose of this research was to study the storage of fresh raw horticultural material processed and frozen in an industrial plant in southern Italy. A simulation technique (validated by experimental tests) was used giving the chance to evaluate the effect of bins location on the cooling capacity of the cold room avoiding expensive experimental tests. An external cooling system and an intermediate fluid ensure the cooling of the products. The air is distributed inside the cold room by two blowers that provide the forced convection of the air itself. First of all, experimental tests were carried out to validate the preliminary results obtained from the previous experiment, and then the authors carried out a computational fluid dynamic (CFD) analysis in order to verify where a good arrangement of the storage bins is achieved inside the room. The tests were carried out in summer (July) on zucchini and peppers. The important deviations in the temperature of the product are mainly due to the different position occupied by the bins in the room. In fact, they are positioned at different distances and heights from the forced convection fans. Both simulation and experimental results show that the raw material cooled in the shortest possible time was the one placed to the shortest distance from the wall and at the lowest height of the room because of the low heat transfer through the floor. By increasing the distance from the access door through which the most significant heat transfer takes place, there is a small variation due to the optimal position of the storage bins inside the room, which still allows a good distribution of air

Block size estimation for data partitioning in HPC applications using machine learning techniques

The extensive use of HPC infrastructures and frameworks for running data-intensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, finding an effective partitioning, i.e. a suitable size for data blocks, is a key strategy to speed-up parallel data-intensive applications and increase scalability. This paper describes a methodology for data block size estimation in HPC applications, which relies on supervised machine learning techniques. The implementation of the proposed methodology was evaluated using as a testbed dislib, a distributed computing library highly focused on machine learning algorithms built on top of the PyCOMPSs framework. We assessed the effectiveness of our solution through an extensive experimental evaluation considering different algorithms, datasets, and infrastructures, including the MareNostrum 4 supercomputer. The results we obtained show that the methodology is able to efficiently determine a suitable way to split a given dataset, thus enabling the efficient execution of data-parallel applications in high performance environments

Thermo-fluid-dynamic characteristics of confluent jets for distribution of treated air in small environment

The diffusion of the air through nozzles and/or diffusers has been studied extensively thanks to the numerous examples of environmental conditioning systems and in general of systems in which the flow of matter escapes from particular openings. In this paper, we studied closed and small environments requiring thermo-hygrometric and ventilation control. Air jets are used to mix the treated air within the environment. The widespread diffusion of this technology, mainly conceived for large environments, justifies the characterization of a particular type of system realized by the authors. The first results of experimental tests carried out with a particular air conditioning system are showed in the present work. The particularity of the system consists in a low construction cost, possibility of modifications and operation according to the characteristics and needs to different agricultural species. This initial phase of the research related to the isothermal regime, allowed by the conditioning system, aimed to characterize the fluid-dynamic behaviour of the air diffusion systems realized with perforated surfaces. First tests were carried out in a specifically designed climatic room whose climate conditions are strictly controlled by a suitable control system under isothermal conditions. Moreover, an ad-hoc designed experimental device was used. It consists of a pantograph kinematic structure carrying the probes around in the fluid dynamic field. It allows measuring air velocity in different points in stationary or slowing enough transient conditions. The experimental data was used to validate the computational fluid dynamics (CFD) model to predict the internal airflow velocity distribution