•The application is used in a regular clinical setting and has proven to be effective and very easy to use.•The application is user-friendly and is available either online or as a standalone mobile ...application.•The application can replace tedious and error prone levodopa equivalent dose conversion of the antiparkinsonian drugs efficiently.•In comparison to other solutions, our application provides much more functionality, reduces the risk of errors and can be run on a variety of devices.
Levodopa/carbidopa intestinal gel infusion is a treatment option for patients of advanced stage of Parkinson's disease. This treatment requires the time-consuming and error-prone conversion of orally taken antiparkinson drugs into an equivalent replacing dose of levodopa/carbidopa, which is delivered via pump. In order to facilitate and speed up this conversion process, we developed a specific user-friendly application that would be available online or as a standalone mobile application. Such an application has now been written and designed in collaboration with a computer scientist and physician, who is also intended to be the final user.
The levodopa equivalent dose calculations are based on previous studies and data reported in the literature. Two related on-line conversion applications were analyzed and evaluated. The primary objectives of the application were determined, and basic functionalities were outlined. The application was implemented using modern development tools and frameworks.
The application has proven to be effective and easy to use in our clinical setting. It can serve as a control for manual calculations made by medical staff. It can also be applied as a useful tool in levodopa/carbidopa intestinal gel infusion courses for the advanced treatment of Parkinson's disease.
The presented application could replace the tedious and error-prone levodopa equivalent dose conversion of antiparkinson drugs efficiently. In comparison to related on-line conversion applications, this specific application provides more functionality, reduces the risk of user errors, and can be run on a variety of devices. The conversion value provided by the application is only an estimate. The effect of the drugs is specific for each individual patient, which could not be considered in the calculations. Therefore, the responsibility of using the results of the application rests with the clinical judgment of the user. Nevertheless, the application can give us a good starting point for the initial pump setting, which would be adjusted further during the titration period, according to the patient's response.
This paper presents a hybrid document recommender system intended for use in digital libraries and institutional repositories that are part of the Slovenian Open Access Infrastructure. The ...recommender system provides recommendations of similar documents across different digital libraries and institutional repositories with the aim to connect researchers and improve collaboration efforts. The hybrid recommender system makes use of document processing techniques, document metadata, and the similarity ranking function BM25 to provide content-based recommendations as a primary method. It also uses collaborative-filtering methods as a secondary method in a cascade hybrid recommendation technique. We also provide a real-world data feedback collection analysis for our hybrid recommender system on an academic digital repository in order to be able to identify suitable time-frames for direct feedback collection during the year.
The OpenScience Slovenia metadata dataset contains metadata entries for Slovenian public domain academic documents which include undergraduate and postgraduate theses, research and professional ...articles, along with other academic document types. The data within the dataset was collected as a part of the establishment of the Slovenian Open-Access Infrastructure which defined a unified document collection process and cataloguing for universities in Slovenia within the infrastructure repositories. The data was collected from several already established but separate library systems in Slovenia and merged into a single metadata scheme using metadata deduplication and merging techniques. It consists of text and numerical fields, representing attributes that describe documents. These attributes include document titles, keywords, abstracts, typologies, authors, issue years and other identifiers such as URL and UDC. The potential of this dataset lies especially in text mining and text classification tasks and can also be used in development or benchmarking of content-based recommender systems on real-world data.
V doktorski disertaciji predlagamo hibridni pristop za priporočanje vrstilcev univerzalne decimalne klasifikacije (UDK) za elektronske dokumente, ne glede na globino hierarhije UDK. Razvit hibridni ...pristop priporočanja vrstilcev UDK temelji na metodah vsebinskega filtriranja in uporablja strukturirane metapodatke v slovenskem jeziku za klasifikacijo področja znanosti in priporočanje ustreznih vrstilcev. Ker se dokumenti pogosto nanašajo na več področij znanosti, mora biti pristop sposoben identificirati interdisciplinarnost in vrniti več ustreznih vrstilcev UDK. Predlagani hibridni pristop uporablja kaskadno hibridizacijo in je razdeljen na dva kaskadna koraka. Najprej z rangirno funkcijo BM25 zagotovimo začetni seznam vrstilcev UDK. V prvem kaskadnem koraku začetni seznam vrstilcev UDK preuredimo s seznamom, ki je rezultat večznačnega klasifikatorja. Večznačni klasifikator temelji na globoki nevronski mreži BERT in je prilagojen na hierarhično topologijo UDK. V drugem kaskadnem koraku s pomočjo seznama najbolj pogostih vrstilcev UDK v organizaciji, iz katere izvira dokument, preuredimo seznam iz prvega koraka. Za kaskadno hibridizacijo se izvedejo postopki naknadne obdelave, ki preuredijo sezname priporočil glede na vrhnje področje in glede na specifičnost, omogočajo pa tudi rezanje seznama. Disertacija vključuje vrednotenje na množici zaključnih del v slovenskem jeziku, ki so del repozitorijev slovenskih univerz in že imajo ročno določene vrstilce UDK s strani knjižničarjev. Na testni množici dokumentov s predlaganano metodo po metriki HR@K dosežemo povprečne vrednosti 0,574 (K = 1), 0,869 (K = 3) in 0,892 (K = 5). Po metriki NDCG@K dosežemo povprečne vrednosti 0,993 (K = 1), 0,921 (K = 3) in 0,916 (K = 5), po metrikah MRR in MAP pa povprečne vrednosti vrednosti 0,782 (MRR) in 0,785 (MAP). V primerjavi z obstoječimi pristopi pokažemo, da uporaba predlaganega pristopa vodi v statistično značilne izboljšave.
In this article we present a hybrid approach to recommending the Universal Decimal Classification (UDC) codes for unclassified documents. By recommending UDC codes to librarians, we can provide the ...decision support as part of a semi-automatic cataloguing process. As current approaches to recommending UDC codes are scarce and limited to certain fields of expertise, our motivation was to create a hybrid approach which covers all fields of expertise within the UDC hierarchy. The cascade hybrid approach combines the BM25 ranking function with a multi-label classifier based on a BERT (Bidirectional Encoder Representations from Transformers) deep neural network architecture. Additionally, lists of the most commonly used UDC codes within a document's origin organization are used as a final content-based filtering method. The BM25 ranking function is used to create an initial list of recommendations. The first cascade step re-ranks the initial list of recommendations using the list of recommendations produced by the multi-label BERT-based classifier. The second cascade step re-ranks the resulting recommendation list from the first cascade step using a list of most commonly used UDC codes within the document's organization. Finally, post-processing steps are applied to obtain the final list of recommended UDC codes. We present in detail the UDC structure, the used text corpus of documents and the functioning of our hybrid recommendation approach. We perform the analysis of the generated recommendation lists for the corpus from the Slovenian Open-Access Infrastructure using the metrics hit-ratio, normalized discounted cumulative gain, mean reciprocal rank and mean average precision. Our hybrid recommendation approach improves reference scores of individual methods for these metrics.
Purpose
– The purpose of this paper is to present a technical perspective when implementing the Slovenian open access infrastructure that consists of four institutional repositories (IRs) and a ...national portal (NP) that aggregates content from the repositories in order to provide a common search engine, recommendations of similar documents, and similar text detection.
Design/methodology/approach
– During the project, the necessary legal background and processes for mandatory submissions of final study works, research publications and research data were established, as well as processes for data exchange between the IRs and the NP, and processes for similar text detection.
Findings
– The consortium consisted of four Slovenian universities that significantly differ in size, organisation, and workflows. It was anticipated that exactly the same legal background and software would be used for the four repositories. It turned out that complete unification was impossible due to the differences.
Practical implications
– The national open access infrastructure will improve the visibility of Slovenian research organisations. It supports the compliance with the funders’ open access mandates. The established infrastructure enables the depositing and archiving of approximately 80 percent of the peer-reviewed scientific publications that are annually published by Slovenian researchers. At the same time, the majority of final study works from Slovenian higher education institutions are available in full-text format.
Originality/value
– This paper describes a technical perspective for setting up a national open access infrastructure, which has not been described in the literature previously.
AbstractThe paper presents the legal, organisational and technical perspectives regarding the implementation of the Slovenian national open access infrastructure for electronic theses and ...dissertations as well as for research publications. The infrastructure consists of four institutional repositories and a national portal that aggregates content from the university repositories and other Slovenian archives in order to provide a common search engine, recommendation of similar publications, and similar text detection. We have developed the software which is integrated with the universities' information and authentication systems and with the COBISS.SI. During the project the necessary legal background was defined and processes for mandatory submission of electronic theses and dissertations as well as of research publications were designed. The processes for data exchange between the institutional repositories and the national portal, and the processes for similar text detection and recommendation system were established. Bilingual web and mobile applications, a recommendation system and the interface suitable for persons with disabilities are provided to the users from around the world. The repositories are an effective promotion tool for universities and their researchers. It is expected that they will improve the recognition of Slovenian universities in the world. The complex national open access infrastructure with similar text detection support and integration with other systems will enable the storage of almost eighty percent of peer-reviewed scientific papers, annually published by Slovenian researchers. The majority of electronic theses and dissertations yearly produced at the Slovenian higher education institutions will also be accessible.
The paper presents the legal, organisational and technical perspectives regarding the implementation of the Slovenian national open access infrastructure for electronic theses and dissertations as ...well as for research publications. The infrastructure consists of four institutional repositories and a national portal that aggregates content from the university repositories and other Slovenian archives in order to provide a common search engine, recommendation of similar publications, and similar text detection. We have developed the software which is integrated with the universities' information and authentication systems and with the COBISS.SI. During the project the necessary legal background was defined and processes for mandatory submission of electronic theses and dissertations as well as of research publications were designed. The processes for data exchange between the institutional repositories and the national portal, and the processes for similar text detection and recommendation system were established. Bilingual web and mobile applications, a recommendation system and the interface suitable for persons with disabilities are provided to the users from around the world. The repositories are an effective promotion tool for universities and their researchers. It is expected that they will improve the recognition of Slovenian universities in the world. The complex national open access infrastructure with similar text detection support and integration with other systems will enable the storage of almost eighty percent of peer-reviewed scientific papers, annually published by Slovenian researchers.The majority of electronic theses and dissertations yearly produced at the Slovenian higher education institutions will also be accessible.
In this paper, we will present the results of our survey on TFP and its main drivers. For this purpose, our analysis is based on a sample of thirteen EU countries for the period 1995 - 2016. In the ...first iteration, we have estimated the TFP for selected countries. The main goal of this paper is to determine the existence of a long-run relationship, ie. cointegration between the TFP and its main drivers. To do so, in the second iteration we have used the relatively new panel ARDL (Autoregressive Distributed Lag) model proposed by Pesaran (1997) and Pesaran and Shin (1999). The obtained results in this paper reveal the existence of a long-term relationship, i.e. co-integration between the TFP on one hand, and R&D, and ICT, on the other hand, confirming the basic hypothesis that there is a long-term and statistically significant relationship, i.e. co-integration between the above-mentioned variables.
PDF
