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1.
Korupcija v slovenskem zdravstvu - analiza poročil Računskega sodišča : magistrsko delo
Maja Loknar, 2024, magistrsko delo

Opis: V osrčju vsake družbe, vključno s slovensko, je njen zdravstveni sistem, ki je ključen za ohranjanje zdravja prebivalcev. Zdravstveno stanje prebivalstva vpliva na blagostanje celotne družbe, to pa posledično vpliva tudi na gospodarski razvoj države. Slovenski zdravstveni sistem temelji na načelih univerzalnosti, solidarnosti in dostopnosti. Zaradi vsega naštetega sta ključnega pomena razumevanje in analiziranje morebitne korupcije v tem vitalnem sektorju. Pomembno je, da se ohranja zaupanje javnosti v zdravstvo, še bolj pa sta pomembni kakovostna oskrba in obravnava pacientov. Za kakovostno zdravstveno oskrbo so potrebna visoka finančna sredstva, zato je toliko bolj pomembno zagotoviti transparentnost celotnega zdravstvenega sektorja. Korupcija je velik problem sodobne družbe, ki zavira, če ne celo onemogoča razvoj. Sredstva, ki bi morala biti namenjena širši družbi, so namreč uporabljena kot sredstva za dosego zasebnih ciljev posameznikov in skupin. Cilja zaključnega dela sta bila spoznavanje pojma korupcije v zdravstvu in analiza Računskega sodišča Republike Slovenije. S pomočjo analize literature in člankov so bili predstavljeni ključni pojmi, kot so korupcija, oblike korupcije (v zdravstvu), integriteta itd. Predstavljeni so bili tudi Računsko sodišče, njegovo delovanje, revizijski proces in pomen Računskega sodišča. Pregled in analize izbranih devetih revizij Računskega sodišča (in porevizijska poročila) od leta 2019 naprej so pokazale, da se v slovenskem zdravstvenem sistemu pojavljajo in ponavljajo problemi pomanjkanja podatkov in problemi s sistemom javnih naročil. Predstavljene so bile tudi možnosti za izboljšanje stanja, kot sta uvedba tehnologije veriženja podatkovnih blokov (angl. Blockchain) ter povečanje integritete in rabe etičnih kodeksov. Predstavljena so bila še priporočila Računskega sodišča, kot izhajajo iz izbranih revizijskih poročil, med drugim dosledno spremljanje, izdelava in pridobivanje podatkov ter evidenc in nadgradnje izobraževanj in usposabljanj za odločevalce.
Ključne besede: korupcija, slovensko zdravstvo, Računsko sodišče, poročila, magistrska dela
Objavljeno v DKUM: 11.04.2024; Ogledov: 36; Prenosov: 6
.pdf Celotno besedilo (1,02 MB)

2.
Bilateral Kienböck's disease with bilateral negative ulnar variance : a case report
Marjan Sekej, Mitja Rupreht, 2017, kratki znanstveni prispevek

Ključne besede: obojestranska Kienböckova bolezen, avaskularna nekroza lunatuma, negativna ulnarna varianta, ulna minus
Objavljeno v DKUM: 09.04.2024; Ogledov: 32; Prenosov: 2
.pdf Celotno besedilo (521,21 KB)
Gradivo ima več datotek! Več...
Gradivo je zbirka in zajema 1 gradivo!

3.
Problematika preiskovanja kaznivih dejanj povezanih z umetninami
Bojan Dobovšek, 2007, objavljeni strokovni prispevek na konferenci

Ključne besede: umetnine, kulturna dediščina, kazniva dejanja, preiskovanje
Objavljeno v DKUM: 29.03.2024; Ogledov: 28; Prenosov: 0
.pdf Celotno besedilo (714,77 KB)

4.
Pojem in značilnosti poskusa storitve kaznivega dejanja
Borislav Petrović, Dragan M. Jovašević, Bojan Dobovšek, Jure Škrbec, 2006, objavljeni strokovni prispevek na konferenci

Ključne besede: kazniva dejanja, poskusi kaznivih dejanj, kazenska odgovornost, kazen
Objavljeno v DKUM: 29.03.2024; Ogledov: 39; Prenosov: 1
.pdf Celotno besedilo (313,75 KB)

5.
Organiziran kriminal in terorizem : združljivost in razhajanja
Albert Černigoj, Bojan Dobovšek, 2006, objavljeni strokovni prispevek na konferenci

Ključne besede: organizirana kriminaliteta, terorizem, mednarodno sodelovanje, policija
Objavljeno v DKUM: 29.03.2024; Ogledov: 30; Prenosov: 4
.pdf Celotno besedilo (348,28 KB)

6.
Vojaška obveščevalna dejavnost Slovenske vojske
Marjan Kolenc, 2006, objavljeni strokovni prispevek na konferenci

Ključne besede: slovenska vojska, obveščevalna dejavnost, obramba
Objavljeno v DKUM: 29.03.2024; Ogledov: 40; Prenosov: 3
.pdf Celotno besedilo (332,65 KB)

7.
Varnostna dejavnost v Slovenski vojski - nove dimenzije razvoja
Marjan Balant, Denis Čaleta, 2006, objavljeni strokovni prispevek na konferenci

Ključne besede: varnost, Slovenska vojska, NATO
Objavljeno v DKUM: 29.03.2024; Ogledov: 38; Prenosov: 1
.pdf Celotno besedilo (492,30 KB)

8.
A graph pointer network-based multi-objective deep reinforcement learning algorithm for solving the traveling salesman problem
Jeewaka Perera, Shih-Hsi Liu, Marjan Mernik, Matej Črepinšek, Miha Ravber, 2023, izvirni znanstveni članek

Opis: Traveling Salesman Problems (TSPs) have been a long-lasting interesting challenge to researchers in different areas. The difficulty of such problems scales up further when multiple objectives are considered concurrently. Plenty of work in evolutionary algorithms has been introduced to solve multi-objective TSPs with promising results, and the work in deep learning and reinforcement learning has been surging. This paper introduces a multi-objective deep graph pointer network-based reinforcement learning (MODGRL) algorithm for multi-objective TSPs. The MODGRL improves an earlier multi-objective deep reinforcement learning algorithm, called DRL-MOA, by utilizing a graph pointer network to learn the graphical structures of TSPs. Such improvements allow MODGRL to be trained on a small-scale TSP, but can find optimal solutions for large scale TSPs. NSGA-II, MOEA/D and SPEA2 are selected to compare with MODGRL and DRL-MOA. Hypervolume, spread and coverage over Pareto front (CPF) quality indicators were selected to assess the algorithms’ performance. In terms of the hypervolume indicator that represents the convergence and diversity of Pareto-frontiers, MODGRL outperformed all the competitors on the three well-known benchmark problems. Such findings proved that MODGRL, with the improved graph pointer network, indeed performed better, measured by the hypervolume indicator, than DRL-MOA and the three other evolutionary algorithms. MODGRL and DRL-MOA were comparable in the leading group, measured by the spread indicator. Although MODGRL performed better than DRL-MOA, both of them were just average regarding the evenness and diversity measured by the CPF indicator. Such findings remind that different performance indicators measure Pareto-frontiers from different perspectives. Choosing a well-accepted and suitable performance indicator to one’s experimental design is very critical, and may affect the conclusions. Three evolutionary algorithms were also experimented on with extra iterations, to validate whether extra iterations affected the performance. The results show that NSGA-II and SPEA2 were greatly improved measured by the Spread and CPF indicators. Such findings raise fairness concerns on algorithm comparisons using different fixed stopping criteria for different algorithms, which appeared in the DRL-MOA work and many others. Through these lessons, we concluded that MODGRL indeed performed better than DRL-MOA in terms of hypervolumne, and we also urge researchers on fair experimental designs and comparisons, in order to derive scientifically sound conclusions.
Ključne besede: multi-objective optimization, traveling salesman problems, deep reinforcement learning
Objavljeno v DKUM: 28.03.2024; Ogledov: 47; Prenosov: 5
.pdf Celotno besedilo (7,89 MB)
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9.
43rd International Conference on Organizational Science Development: Green and Digital Transition – Challenge or Opportunity : Conference Proceedings
2024, zbornik recenziranih znanstvenih prispevkov na mednarodni ali tuji konferenci

Opis: The 43rd International Scientific Conference on the Development of Organisational Science was held in Portorož from the 20th to the 22nd of March 2024. The main aim of the conference was to promote the importance of knowledge in the context of green and digital transtition of organizations, through academic and scientific debates and professional developments from the economic and non-economic worlds. The conference, which was held under the umbrella title " Green and Digital Transition - Challenge or Opportunity", aimed to highlight the importance of the green and digital transition for the successful achievement of organisational objectives and the appropriate overcoming of societal challenges. The objectives pursued in this context are related to the natural dimensions on the one hand, and to stimulating the economy through green technology, sustainable development and pollution reduction on the other. The green and digital transition is also an opportunity for organisations to make changes towards overarching environmental challenges. It is undoubtedly more important than ever to take decisions that generate synergies between innovation, different sciences, and applied approaches, and to promote changes in business models that will lead to a sustainable and socially responsible development environment. In Portorož, we have reconnected opinions, views, and scientific and professional debates that will stimulate all of us to act in the future, both in organizations and in society at large.
Ključne besede: organization, knowledge, interdisciplinarity, science, economy
Objavljeno v DKUM: 22.03.2024; Ogledov: 140; Prenosov: 12
.pdf Celotno besedilo (21,17 MB)
Gradivo ima več datotek! Več...

10.
Možnosti razvoja dejavnosti zasebnega varovanja na področju komunalne varnosti v Sloveniji
Marjan Pišek, Janko Siranko, 2006, objavljeni strokovni prispevek na konferenci

Ključne besede: zasebno varovanje, komunalna varnost, lokalne skupnosti, občine, redarska služba
Objavljeno v DKUM: 21.03.2024; Ogledov: 54; Prenosov: 1
.pdf Celotno besedilo (367,95 KB)

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