An information retrieval approach to ontology mapping

In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems. The approach is based on the idea of semantic enrichment, i.e., using instance information of the ontology to enrich the original ontology and calculate similarities between concepts in two ontologies. The functional settings for the mapping system are discussed and the evaluation of the prototype implementation of the approach is reported. \ud \u

Development of self-care function in children as a part of family’s preventive treatment

Artykuł jest poświęcony znaczeniu rozwoju funkcji samoopiekuńczej dziecka i wpływowi tej funkcji na zdrowie i kondycję dorosłego człowieka. Omówione są uwarunkowania rodzinne istotne dla kształtowania samoopieki, przeszkody na drodze do jej rozwoju oraz konsekwencje deficytów w zakresie omawianej funkcji. Szczególna uwaga poświęcona jest związkom pomiędzy ważnymi dla etiopatogenezy chorób somatycznych konstruktami psychologicznymi, jak aleksytymia i patogenne wzory zachowań, a niedoborami w zakresie samoopieki. Wskazane są również typy postępowań wychowawczych, które sprzyjają rozwojowi funkcji samoopiekuńczej dzieci.The article is dedicated to the meaning of self-care function in children and its influence on health and condition of an adult. Family conditions for developing the self-care function are described, as well as the consequences of the deficits regarding this specific function. Special attention is paid to relations between psychological constructs important for ethiopathogenesis of somatic diseases, such as alexithymia and pathological models of behaviour vs. insufficiency in the area of self-care function. It is also indicated which model of parenting favors the development of self-care function in children

NAV - Når Arbeidslinja Virkeliggjøres : en analyse av NAV-kontorenes fokus på oppfølging mot arbeid og aktivitet, sett i lys av resultatmålinger og organisasjonelle grep

Dette studiet ser på hvordan resultatmålinger påvirker offentlige tjenester. Gjennom å analysere ulikheter i måloppnåelse på resultatmålinger i tre NAV-kontorer i Oslo, og gjennom å analysere forskjeller i organisasjonelle grep, vil studiet forsøke å se på sammenheng mellom organisasjonelle variabler og variabler som ser på resultatmålinger. Med grunnlag i teorier om resultatstyring i offentlig sektor, stilles spørsmål om uønsket strategisk atferd gjennom å sammenligne resultater på to ulike sett av resultatindikatorer. Videre stilles spørsmål om eventuell nedsliting av resultatindikatorer, der indikatorene ikke lenger gir informasjon om ulikheter i gode og dårlige resultater. Metodisk anvendes kvasieksperiment for å gi informasjon om to ulike sett av resultatvariabler. Ved multicasestudier av tre NAV-kontorer i Oslo gis en beskrivelse på de tre organisatoriske variablene spesialisering, rutiner og kompetansestrategier. Gjennom å eksplisitt gjøre rede for teoretiske slutninger, stilles spørsmål om potensial for teoretisk generalisering. Studiets formål er å se på hvordan resultatmålinger kan påvirke organisasjonell atferd. Studiet stiller også spørsmål om hvordan ulike organisatoriske grep påvirker de tjenestene som NAV-kontoret skal levere.This study deals explicitly with how performance measurement affects public services. Analyzing differences in performance output in three NAV-offices in Oslo, and analysing differences in organizational structures, the study seeks to explore the relationship between organizational and performative variables. Based on theories on performance management in the public sector, the question on unwarranted strategic behaviour is asked by comparing output measures on two different set of indicators. The study further asks question about performance indicators diminishing ability to distinguish good from bad performance. Methodologically, a quasi-experimental approach gives two different sets of performance outputs. These are compared via a multi-case-studies approach, lending the analysis a description on three different NAV-public services through the organizational variables differentiation, routines and strategies of competence. Seeking to explicitly describe the inferences being made, the study is asking questions on the possibility of theoretical generalization. The aim of the study is set on depicting how performance measurement affects organizational behaviour. Further, the study asks questions on how differences in organizational structure possibly affect performance output in the Norwegian welfare system.Master i styring og ledels

Brand Personality Scale: How Do Indian Consumers Interpret The Personality Dimensions?

With brands assuming an important and all-encompassing position in the marketplace today and with the excessive proliferation of me-too products, marketers have recognised the need to create a distinct personality for a brand so that it stands adequately differentiated in the market. This study tests the applicability of Jennifer Aaker's (1997) brand personality scale in the Indian context and identifies significant similarities and differences in brand personality perceptions. Focus groups were used to identify the product categories and brands to be used in the study. Thereafter, Primary Component Analysis was used to isolate the factors (personality dimensions) for each brand. Data were collected using self-administered questionnaires. The study used just four product categories. Further studies could increase the number of product categories and brands to widen the scope of study

Evaluation of team dynamic in Norwegian projects for IT students

The need for teaching realistic software development in project courses has increased in a global scale. It has always been challenges in cooperating fast-changing software technologies, development methodologies and teamwork. Moreover, such project courses need to be designed in the connection to existing theoretical courses. We performed a large-scale research on student performance in Software Engineering projects in Norwegian universities. This paper investigates four aspects of team dynamics, which are team reflection, leadership, decision making and task assignment in order to improve student learning. Data was collected from student projects in 4 years at two universities. We found that some leader's characteristics are perceived differently for female and male leaders, including the perception of leaders as skilful workers or visionaries. Leadership is still a challenging aspect to teach, and assigned leadership is probably not the best way to learn. Students is are performing well in task review, however, needs support while performing task assignment. The result also suggests that task management to be done in more fine-grained levels. It is also important to maintain an open and active discussion to facilitate effective group decision makings

News Session-Based Recommendations using Deep Neural Networks

News recommender systems are aimed to personalize users experiences and help them to discover relevant articles from a large and dynamic search space. Therefore, news domain is a challenging scenario for recommendations, due to its sparse user profiling, fast growing number of items, accelerated item's value decay, and users preferences dynamic shift. Some promising results have been recently achieved by the usage of Deep Learning techniques on Recommender Systems, specially for item's feature extraction and for session-based recommendations with Recurrent Neural Networks. In this paper, it is proposed an instantiation of the CHAMELEON -- a Deep Learning Meta-Architecture for News Recommender Systems. This architecture is composed of two modules, the first responsible to learn news articles representations, based on their text and metadata, and the second module aimed to provide session-based recommendations using Recurrent Neural Networks. The recommendation task addressed in this work is next-item prediction for users sessions: "what is the next most likely article a user might read in a session?" Users sessions context is leveraged by the architecture to provide additional information in such extreme cold-start scenario of news recommendation. Users' behavior and item features are both merged in an hybrid recommendation approach. A temporal offline evaluation method is also proposed as a complementary contribution, for a more realistic evaluation of such task, considering dynamic factors that affect global readership interests like popularity, recency, and seasonality. Experiments with an extensive number of session-based recommendation methods were performed and the proposed instantiation of CHAMELEON meta-architecture obtained a significant relative improvement in top-n accuracy and ranking metrics (10% on Hit Rate and 13% on MRR) over the best benchmark methods.Comment: Accepted for the Third Workshop on Deep Learning for Recommender Systems - DLRS 2018, October 02-07, 2018, Vancouver, Canada. https://recsys.acm.org/recsys18/dlrs

COSMOS—improving the quality of life in nursing home patients: protocol for an effectiveness-implementation cluster randomized clinical hybrid trial

Background: Nursing home patients have complex mental and physical health problems, disabilities and social needs, combined with widespread prescription of psychotropic drugs. Preservation of their quality of life is an important goal. This can only be achieved within nursing homes that offer competent clinical conditions of treatment and care. COmmunication, Systematic assessment and treatment of pain, Medication review, Occupational therapy, Safety (COSMOS) is an effectiveness-implementation hybrid trial that combines and implements organization of activities evidence-based interventions to improve staff competence and thereby the patients’ quality of life, mental health and safety. The aim of this paper is to describe the development, content and implementation process of the COSMOS trial. Methods/Design: COSMOS includes a 2-month pilot study with 128 participants distributed among nine Norwegian nursing homes, and a 4-month multicenter, cluster randomized effectiveness-implementation clinical hybrid trial with follow-up at month 9, including 571 patients from 67 nursing home units (one unit defined as one cluster). Clusters are randomized to COSMOS intervention or current best practice (control group). The intervention group will receive a 2-day education program including written guidelines, repeated theoretical and practical training (credited education of caregivers, physicians and nursing home managers), case discussions and role play. The 1-day midway evaluation, information and interviews of nursing staff and a telephone hotline all support the implementation process. Outcome measures include quality of life in late-stage dementia, neuropsychiatric symptoms, activities of daily living, pain, depression, sleep, medication, cost-utility analysis, hospital admission and mortality. Discussion: Despite complex medical and psychosocial challenges, nursing home patients are often treated by staff possessing low level skills, lacking education and in facilities with a high staff turnover. Implementation of a research-based multicomponent intervention may improve staff’s knowledge and competence and consequently the quality of life of nursing home patients in general and people with dementia in particular

Workshop and Challenge on News Recommender Systems

Recommending news articles entails additional requirements to recommender systems. Such requirements include special con- sumption patterns, fluctuating item collections, and highly sparse user profiles. This workshop (NRS’13@RecSys) brought together researchers and practitioners around the topics of designing and evaluating novel news recommender systems. Additionally, we offered a challenge allowing participants to evaluate their recommendation algorithms with actual user feedback

Understanding complementarity-based security proofs of quantum key distribution with imperfect sources

We present a study of modern security proofs of quantum key distribution based on complementarity. This is a quantum communication protocol allowing for provable, unconditional security, although there is still a gap between theoretical analyses and real, operational systems. We focus on a recent argument by Koashi, which enables the treatment of individual, basis-dependent imperfections in the source. A detailed review is given based partly on an alternate derivation, with the goal of providing a more accessible approach to utilizing the strength of the complementarity-based proof. Some subtleties in the argument are then pointed out, particularly regarding the requirement of perfectly independent states in the random sampling. A numerical approach is implemented to simulate arbitrary protocols in order to investigate the necessity of this requirement. For independent states, the results provide strong evidence in support of the established security bounds. We then focus on imperfect sources with basis-independent correlations, which reveals concrete counterexamples to the security claims, even in the operational regime. This increases the understanding of why security relies critically on perfect independence of the states. We also predict the possibility of attacking real-world devices as the results show a necessary, although not sufficient, condition for exploiting small, but finite basis-independent correlations in an imperfect source. Furthermore, we argue that analyzing such systems and finding capable attack operations is difficult to achieve by analytic methods; instead we develop further numerical techniques for sampling the parameter space of source states and attack operations in a computationally efficient manner. These parameters are then iteratively improved using a hybrid uniform search and genetic optimization routine. The numerical methods prove to be effective in both uncovering sources that are prone to correlation attacks as well as constructing explicit attack operations for a given system