7 research outputs found

    Parental understanding of the professional identity of school pedagogues

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    Tema ovog rada roditeljsko je shvaćanje profesionalnoga identiteta školskoga pedagoga. U teorijskom djelu rada prvo se objašnjavaju pojmovi profesionalnoga identiteta i profesionalnoga identiteta školskoga pedagoga koji postavljaju svojevrsni okvir za razvoj središnjeg teorijskog djela u kojemu se razmatraju odabrane odrednice profesionalnoga identiteta školskoga pedagoga u kontekstu suradnje s roditeljima. Nakon teorijskog okvira slijede prikaz i analiza rezultata provedenog kvalitativnog istraživanja kojemu je cilj bio otkriti kako roditelji učenika osnovnih škola definiraju pojedine odrednice profesionalnoga identiteta školskoga pedagoga i koja iskustva s praktičnim materijalizacijama istih imaju. U istraživanju je sudjelovalo osmero roditelja učenika osnovnih škola s područja nekoliko hrvatskih gradova. Rezultati pokazuju kako su pojedini dijelovi profesionalnoga identiteta školskoga pedagoga roditeljima nepoznati te kako s njima gotovo nemaju praktičnih iskustava. U zaključku rada sumiraju se dobiveni rezultati istraživanja uz navođenje ograničenja i smjernica za buduća istraživanja te doprinosa ovog diplomskoga rad

    Parental understanding of the professional identity of school pedagogues

    No full text
    Tema ovog rada roditeljsko je shvaćanje profesionalnoga identiteta školskoga pedagoga. U teorijskom djelu rada prvo se objašnjavaju pojmovi profesionalnoga identiteta i profesionalnoga identiteta školskoga pedagoga koji postavljaju svojevrsni okvir za razvoj središnjeg teorijskog djela u kojemu se razmatraju odabrane odrednice profesionalnoga identiteta školskoga pedagoga u kontekstu suradnje s roditeljima. Nakon teorijskog okvira slijede prikaz i analiza rezultata provedenog kvalitativnog istraživanja kojemu je cilj bio otkriti kako roditelji učenika osnovnih škola definiraju pojedine odrednice profesionalnoga identiteta školskoga pedagoga i koja iskustva s praktičnim materijalizacijama istih imaju. U istraživanju je sudjelovalo osmero roditelja učenika osnovnih škola s područja nekoliko hrvatskih gradova. Rezultati pokazuju kako su pojedini dijelovi profesionalnoga identiteta školskoga pedagoga roditeljima nepoznati te kako s njima gotovo nemaju praktičnih iskustava. U zaključku rada sumiraju se dobiveni rezultati istraživanja uz navođenje ograničenja i smjernica za buduća istraživanja te doprinosa ovog diplomskoga rad

    Parental understanding of the professional identity of school pedagogues

    No full text
    Tema ovog rada roditeljsko je shvaćanje profesionalnoga identiteta školskoga pedagoga. U teorijskom djelu rada prvo se objašnjavaju pojmovi profesionalnoga identiteta i profesionalnoga identiteta školskoga pedagoga koji postavljaju svojevrsni okvir za razvoj središnjeg teorijskog djela u kojemu se razmatraju odabrane odrednice profesionalnoga identiteta školskoga pedagoga u kontekstu suradnje s roditeljima. Nakon teorijskog okvira slijede prikaz i analiza rezultata provedenog kvalitativnog istraživanja kojemu je cilj bio otkriti kako roditelji učenika osnovnih škola definiraju pojedine odrednice profesionalnoga identiteta školskoga pedagoga i koja iskustva s praktičnim materijalizacijama istih imaju. U istraživanju je sudjelovalo osmero roditelja učenika osnovnih škola s područja nekoliko hrvatskih gradova. Rezultati pokazuju kako su pojedini dijelovi profesionalnoga identiteta školskoga pedagoga roditeljima nepoznati te kako s njima gotovo nemaju praktičnih iskustava. U zaključku rada sumiraju se dobiveni rezultati istraživanja uz navođenje ograničenja i smjernica za buduća istraživanja te doprinosa ovog diplomskoga rad

    Blockchain-Based Verifiable and Privacy-Preserving Machine Learning Inference

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    The Machine Learning (ML) technology has taken the world by storm since it equipped the machines with previously unimaginable decision-making capabilities. However, building powerful ML models is not an easy task, but the demand for their utilization in different industries and areas of expertise is high. This was recognized by entities that have managed to create ML models and they started offering ML prediction services to clients in exchange for financial compensation. In this work, we explore how a ML predication service platform can be built in which we focus on two things: (1) privacy-preservation which entails keeping the client’s datasets and service provider’s ML models private and (2) inference verifiability ensuring that the ML prediction service providers do not commit fraud. The result are two platforms: ML Prediction Service Platform (MLPSP) which does not protect the secrecy of the client’s datasets but offers model privacy and verifiability of the predictions and Input-Privacy ML Prediction Service Platform (IP-MLPSP) which protects the secrecy of the client’s dataset and model privacy but the verifiability is probabilistic.Computer Scienc

    Universal Dependencies 2.11

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    Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008)

    Universal Dependencies 2.3

    No full text
    Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008)

    Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

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    © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide. Methods: A multimethods analysis was performed as part of the GlobalSurg 3 study—a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital. Findings: Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3·85 [95% CI 2·58–5·75]; p<0·0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63·0% vs 82·7%; OR 0·35 [0·23–0·53]; p<0·0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer. Interpretation: Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised. Funding: National Institute for Health and Care Research
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