Strategie pracy z rodzicami osób uzależnionych od alkoholu. Perspektywa profesjonalistów

Badania nad doświadczeniem kryzysu alkoholowego rodziny pozwoliły na zgromadzenie kilkudziesięciu wywiadów pogłębionych nie tylko z rodzicami dorosłych dzieci uzależnionych od alkoholu, ale również osobami zaangażowanymi w ich wsparcie zarówno nieformalne, jak i profesjonalne. Doświadczenia zawodowe ostatniej wspomnianej grupy (profesjonalistów – m.in. pracowników socjalnych, terapeutów, lekarzy) stały się głównym przedmiotem naszych rozważań. Krótka charakterystyka potrzeb rodzin oraz instytucjonalnej odpowiedzi na te potrzeby prowadzi do drugiej części artykułu, w której to przyglądamy się rozmaitym tropom badawczym i inspiracjom teoretyczno-metodologicznym. Pochylamy się nad pojęciem działań profesjonalnych oraz ich standaryzacji, a także uzupełniamy nasze rozważania o koncepcję pracy pośredniczącej, charakteryzując jej typy. W ramie interakcyjnej podejmujemy rozważania (wolne od podsumowujących uogólnień i wniosków) nad relacją zorientowaną na wsparcie i pomoc rodzicom w kryzysie alkoholowym. W ostatniej kluczowej części staramy się odpowiedzieć na pytanie – jakie strategie pracy obierają badani profesjonaliści? Jak charakteryzują podejmowane przez siebie działania, a także jak definiują rodzica jako partnera interakcji?Research into the experience of alcohol crisis within the family has allowed to gather dozens of in-depth interviews, not only with parents of adult children addicted to alcohol, but also with people involved in their support, both informally and professionally. The professional experience of the latter (professionals – social workers, therapists, doctors) has become the main subject of our deliberations. A brief description of the needs of families and the institutional response to these needs led us to the second part of the article, in which we look at various research trails, as well as theoretical and methodological inspirations. We are considering the concept of professional activities and their standardization, and we add to our considerations the concept of intermediate work, by characterizing its types. In the interactive framework, we deliberate (avoiding generalizations and conclusions) on relationships oriented towards supporting and helping parents in an alcohol crisis. In the last key part we try to answer the following questions: What strategies do the respondents apply? How do they characterize their actions and how do they define a parent as an interaction partner? The article is a result of a project titled “Family in the system of social support and help for people with alcohol problems. Biographical research with the participation of parents of adult children addicted to alcohol” carried out as the following task: “Supporting scientific research in the area of problems resulting from the use of alcohol”. The project conducted by the research team from the Special Pedagogy Laboratory at the Faculty of Education Sciences is financed by the Gambling Problem Solving Fund, as part of the National Health Program for the years 2016–2020.Zadanie „Wspieranie badań naukowych w obszarze problemów wynikających z używania alkoholu” finansowane ze środków Narodowego Programu Zdrowia na lata 2016-202

Conduction electrons localized by charged magneto-acceptors A2−^{2-} in GaAs/GaAlAs quantum wells

A variational theory is presented of A$^{1-}$ and A$^{2-}$ centers, i.e. of a negative acceptor ion localizing one and two conduction electrons, respectively, in a GaAs/GaAlAs quantum well in the presence of a magnetic field parallel to the growth direction. A combined effect of the well and magnetic field confines conduction electrons to the proximity of the ion, resulting in discrete repulsive energies above the corresponding Landau levels. The theory is motivated by our experimental magneto-transport results which indicate that, in a heterostructure doped in the GaAs well with Be acceptors, one observes a boil-off effect in which the conduction electrons in the crossed-field configuration are pushed by the Hall electric field from the delocalized Landau states to the localized acceptor states and cease to conduct. A detailed analysis of the transport data shows that, at high magnetic fields, there are almost no conducting electrons left in the sample. It is concluded that one negative acceptor ion localizes up to four conduction electrons.Comment: 8 pages, 5 figure

Using the Photographic Walk Technique in the Field Work of Probation Officers

Using the potential of the photographic walk the authors studied the organization of field work of probation officers. The main area of interest is the manner of perceiving, naming, familiarizing oneself with places, and place making by the respondents. The aim of the study is to 1) verify the usefulness (potential) of the photographic walk method in the suggested project and 2) describe the field work organization of probation officers, based on collected data. In the article we reached two key conclusions, encompassing 1) the perception and description of field work conducted “in progress,” and the connection between the physicalspace of the city and the professional work of probation officers, and 2) subjective, emotional and transcendental perception, including ascribing symbolic meanings to “the route” traversed in the course of work

Modeling axial spinal segments of the salamander central pattern generator for locomotion

Poster presentationInternational audiencen.

Machine Learning Diffusion Monte Carlo Energies

We present two machine learning methodologies that are capable of predicting diffusion Monte Carlo (DMC) energies with small datasets (~60 DMC calculations in total). The first uses voxel deep neural networks (VDNNs) to predict DMC energy densities using Kohn-Sham density functional theory (DFT) electron densities as input. The second uses kernel ridge regression (KRR) to predict atomic contributions to the DMC total energy using atomic environment vectors as input (we used atom centred symmetry functions, atomic environment vectors from the ANI models, and smooth overlap of atomic positions). We first compare the methodologies on pristine graphene lattices, where we find the KRR methodology performs best in comparison to gradient boosted decision trees, random forest, gaussian process regression, and multilayer perceptrons. In addition, KRR outperforms VDNNs by an order of magnitude. Afterwards, we study the generalizability of KRR to predict the energy barrier associated with a Stone-Wales defect. Lastly, we move from 2D to 3D materials and use KRR to predict total energies of liquid water. In all cases, we find that the KRR models are more accurate than Kohn-Sham DFT and all mean absolute errors are less than chemical accuracy

Characterizing water-metal interfaces and machine learning potential energy surfaces

In this thesis, we first discuss the fundamentals of ab initio electronic structure theory and density functional theory (DFT). We also discuss statistics related to computing thermodynamic averages of molecular dynamics (MD). We then use this theory to analyze and compare the structural, dynamical, and electronic properties of liquid water next to prototypical metals including platinum, graphite, and graphene. Our results are built on Born-Oppenheimer molecular dynamics (BOMD) generated using density functional theory (DFT) which explicitly include van der Waals (vdW) interactions within a first principles approach. All calculations reported use large simulation cells, allowing for an accurate treatment of the water-electrode interfaces. We have included vdW interactions through the use of the optB86b-vdW exchange correlation functional. Comparisons with the Perdew-Burke-Ernzerhof (PBE) exchange correlation functional are also shown. We find an initial peak, due to chemisorption, in the density profile of the liquid water-Pt interface not seen in the liquid water-graphite interface, liquid water-graphene interface, nor interfaces studied previously. To further investigate this chemisorption peak, we also report differences in the electronic structure of single water molecules on both Pt and graphite surfaces. We find that a covalent bond forms between the single water molecule and the platinum surface, but not between the single water molecule and the graphite surface. We also discuss the effects that defects and dopants in the graphite and graphene surfaces have on the structure and dynamics of liquid water. Lastly, we introduce artificial neural networks (ANNs), and demonstrate how they can be used to machine learn electronic structure calculations. As a proof of principle, we show the success of an ANN potential energy surfaces for a dimer molecule with a Lennard-Jones potential