Nurturing The Aesthetic: Learning to Care for the Environment in a Waldorf School

The purpose of the study was to explore the aesthetic foundation of the Waldorf pedagogy in order to understand how art and aesthetic experiences may develop care toward the environment. A form of humanistic education developed by Rudolf Steiner in the early twentieth century, Waldorf education is a learning model envisioned as a framework for moral education. Waldorf education is known for its intentional use of art and aesthetic experience as well as its focus on developmentally appropriate curriculum and teaching methods. As in other forms of holistic education, Waldorf educators focus on the head, heart and hand of every child, which they call the thinking, feeling and willing realms. However, it is the feeling realm which makes Waldorf unique. In Waldorf, the feeling life of the child – the affective domain – is included in all aspects of the educational process. Waldorf educators believe that it is the feeling realm where care is nurtured, and that for a child to fully learn – to move over the threshold from knowledge into action – a child needs to care about what is being learned. With this in mind, it is through art and aesthetic experience where Waldorf teachers touch the affective realm of their students – infusing feeling in order to connect them emotionally, experientially, and imaginatively to the content being presented. Through art and aesthetic experiences in Waldorf classes, are students indeed developing care and does that care extend to the environment? How are the students affected by the teacher’s methods? What is the students’ concept of care? Is there a connection between the students’ concept of care and how they learn? In order to explore these questions in depth, I conducted a qualitative case study with an Early Childhood Center (ECC)-12th grade Waldorf School. Throughout the study, I conducted classroom observations and interviews with teachers and students collecting data that helped depict students’ concept of care, as well as explored possible linkages to students’ learning of care through the teacher’s use of art and aesthetics. When analyzing this data, I found that Waldorf Education has the capacity to promote care for the environment through morality, empathy, and appreciation. These three related and overlapping categories work together through aesthetic experience to form the foundation of such care. My specific interest in conducting this study was how it may relate both theoretically and practically to the field of environmental education (EE). The intersection of John Dewey’s aesthetic experience and Nel Noddings’ ethic of care formed the basis for the study’s theoretical framework. Theoretical contributions include further understanding the development of care in educational settings, and specifically how art and aesthetic experiences may be included in the field of EE. Practical contributions include new ways to present and integrate EE in both formal and non-formal settings to the child participant, as well as considering the importance of developmentally appropriate curriculum. In addition, the study may help develop the environmental educator’s role in nurturing care toward the environment. Furthermore, I hope that this research will act as a bridge of communication between the cultures of Waldorf education and EE, and possibly with other educational settings

Status of Salerno Laboratory (Measurements in Nuclear Emulsion)

A report on the analysis work in the Salerno Emulsion Laboratory is presented. It is related to the search for nu_mu->nu_tau oscillations in CHORUS experiment, the calibrations in the WANF (West Area Neutrino Facility) at Cern and tests and preparation for new experiments.Comment: Proc. The First International Workshop of Nuclear Emulsion Techniques (12-24 June 1998, Nagoya, Japan), 15 pages, 11 figure

Efficient Resolution of Anisotropic Structures

We highlight some recent new delevelopments concerning the sparse representation of possibly high-dimensional functions exhibiting strong anisotropic features and low regularity in isotropic Sobolev or Besov scales. Specifically, we focus on the solution of transport equations which exhibit propagation of singularities where, additionally, high-dimensionality enters when the convection field, and hence the solutions, depend on parameters varying over some compact set. Important constituents of our approach are directionally adaptive discretization concepts motivated by compactly supported shearlet systems, and well-conditioned stable variational formulations that support trial spaces with anisotropic refinements with arbitrary directionalities. We prove that they provide tight error-residual relations which are used to contrive rigorously founded adaptive refinement schemes which converge in $L_2$. Moreover, in the context of parameter dependent problems we discuss two approaches serving different purposes and working under different regularity assumptions. For frequent query problems, making essential use of the novel well-conditioned variational formulations, a new Reduced Basis Method is outlined which exhibits a certain rate-optimal performance for indefinite, unsymmetric or singularly perturbed problems. For the radiative transfer problem with scattering a sparse tensor method is presented which mitigates or even overcomes the curse of dimensionality under suitable (so far still isotropic) regularity assumptions. Numerical examples for both methods illustrate the theoretical findings

Prospect for Charge Current Neutrino Interactions Measurements at the CERN-PS

Tensions in several phenomenological models grew with experimental results on neutrino/antineutrino oscillations at Short-Baseline (SBL) and with the recent, carefully recomputed, antineutrino fluxes from nuclear reactors. At a refurbished SBL CERN-PS facility an experiment aimed to address the open issues has been proposed [1], based on the technology of imaging in ultra-pure cryogenic Liquid Argon (LAr). Motivated by this scenario a detailed study of the physics case was performed. We tackled specific physics models and we optimized the neutrino beam through a full simulation. Experimental aspects not fully covered by the LAr detection, i.e. the measurements of the lepton charge on event-by-event basis and their energy over a wide range, were also investigated. Indeed the muon leptons from Charged Current (CC) (anti-)neutrino interactions play an important role in disentangling different phenomenological scenarios provided their charge state is determined. Also, the study of muon appearance/disappearance can benefit of the large statistics of CC muon events from the primary neutrino beam. Results of our study are reported in detail in this proposal. We aim to design, construct and install two Spectrometers at "NEAR" and "FAR" sites of the SBL CERN-PS, compatible with the already proposed LAr detectors. Profiting of the large mass of the two Spectrometers their stand-alone performances have also been exploited.Comment: 70 pages, 38 figures. Proposal submitted to SPS-C, CER

UAV-spray application in vineyards: Flight modes and spray system adjustment effects on canopy deposit, coverage, and off-target losses

Improvements in the spray application of plant protection products enhance agricultural sustainability by reducing environmental contamination, but by increasing food quality and human safety. Currently, Unmanned Aerial Vehicles (UAVs) are raising interest in spray applications in 3D crops. However, operational configurations of UAV-spray systems need further investigation to maximise the deposition in the canopy and minimise the off-target losses. Our experimental research focused on investigating the effects on the canopy spray deposition and coverage due to different UAV-spray system configurations. Twelve configurations were tested under field conditions in an experimental vineyard (cv. Barbera), derived from the combination of different UAV flight modes (band and broadcast spray applications), nozzle types (conventional and air inclusion), and UAV cruise speeds (1 and 3 m s-1). Also, the best treatment, among those tested, by using the UAV-spray system and a traditional airblast sprayer were compared. The data was analysed by testing the effects of the three operational parameters and their two- and three-way interactions by means of linear mixed models. The results indicated that the flight mode deeply affects spray application efficiency. Compared to the broadcast spray modes, the band spray mode was able to increase the average canopy deposition from 0.052 to 0.161 μL cm-2 (+ 309 %) and reduce the average ground losses from 0.544 to 0.246 μL cm-2 (- 54 %). The conventional airblast sprayer, operated at a low spray application rate, showed higher canopy coverage and lower ground losses in comparison to the best UAV-spray system configuration

Bioactive evaluation and application of different formulations of the natural colorant curcumin (E100) in a hydrophilic matrix (yogurt)

Curcumin (E100) is a natural colorant that, besides conferring color, has bioactivity, serving as an alternative to some artificial colorants. As a hydrophobic colorant, its modification/compatibilization with the aqueous medium is required to improve stability and enable its application in hydrophilic food matrices. Herein, different formulations of curcumin (curcumin powder: PC, water-dispersible curcumin: DC: and nanoencapsulated curcumin: NC) were evaluated as yogurt colorants. PC showed the strongest bioactivity in all assays (EC50 values: 63±2 to 7.9±0.1 μg.mL-1; GI50 values: 48±1 to 17±1 μg.mL-1 and MIC values: 0.0625 to 0.5 mg.mL-1), which might indicate that DC and NC reduce the short-term accessibility to curcumin. The tested curcumin formulations produced yogurts with different appearance, specifically associated with their color parameters, besides presenting slight changes in nutritional composition and free sugars and fatty acids profiles. The water compatible formulations (DC and NC) showed advantages over hydrophobic (PC) having a wider industrial utilization.info:eu-repo/semantics/publishedVersio