451 research outputs found
Odprtokodni Transformer sistem za iskanje informacij v literaturi povezani z energetsko učinkovito robotiko
Get PDFBackground and Purpose: This article employs the Hugging Face keyphrase-extraction-kbir-inspec machine learning model to analyze 654 abstracts on the topic of energy efficiency in systems and control, computer science and robotics. Methods: This study targeted specific arXiv categories related to energy efficiency, scraping and processing ab - stracts with a state-of-the-art Transformer-based Hugging Face AI model to extract keyphrases, thereby enabling the creation of related keyphrase networks and the retrieval of relevant scientific preprints. Results: The results demonstrate that state-of-the-art open-source machine learning models can extract valuable information from unstructured data, revealing prominent topics in the evolving field of energy-efficiency. Conclusion: This showcases the current landscape and highlights the capability of such information systems to pinpoint both well researched and less researched areas, potentially serving as an information retrieval system or early warning system for emerging technologies that promote environmental sustainability and cost efficiency.Ozadje in namen: Uporabili smo strojno učenje po modelu Hugging Face za analizo 654 povzetkov na temo energetske učinkovitosti v sistemih, nadzoru, računalništvu in robotiki. Metode: V raziskavi so bile izbrane specifične kategorije arXiv, ki so povezane z energetsko učinkovitostjo in zajemanjem ter obdelavo povzetkov s sodobnim odprtokodnim Hugging Face keyphrase-extraction-kbir-inspec modelom za ekstrakcijo ključnih besed. Na ta način smo oblikovali povezana omrežja ključnih besed za pridobivanje relevantnih znanstvenih predpublikacij. Rezultati: Rezultati raziskave kažejo, da sodobni odprtokodni modeli strojnega učenja iz nestrukturiranih podatkov lahko izvlečejo relevantne informacije o pomembnih temah na še vedno premalo raziskanem področju energetske učinkovitosti. Zaključek: Prikazali smo trenutno stanje in možnosti za nadaljnje raziskovanje informacijskih sistemov za iskanje relevantnih informacij, ki lahko služijo odločevalcem kot managerski sistem zgodnjega obveščanja z uporabo sodobnih digitalnih tehnologij, ki spodbujajo okoljsko trajnost in izboljšujejo energetsko učinkovitost
Good practice for product management decision-making: Using Amazon's dataset and ChatGPT
No full textThis study examines how Chat Generative Pre-trained Transformer (ChatGPT) can be effectively utilised as a good practice to analyse Amazon reviews within the creative and cultural industry category of Design, particularly Arts, Crafts & Sewing. By focusing on specific products and reviews extracted from a dataset containing over 800,000 products and nearly nine million reviews, ChatGPT identified common themes and customer issues such as software problems and product reliability. When we compared ChatGPT's results with those from manual data reviews, we found that ChatGPT was adept at identifying main topics but sometimes missed detailed insights or altered the original reviews when providing examples. This indicates that while ChatGPT can quickly highlight important areas for product managers, it should be used in conjunction with human analysis to achieve a comprehensive understanding. Nonetheless, the results demonstrate that when considering group creativity, ChatGPT can be a valuable member
Quality Analysis of Mobile Applications
Get PDFMobile applications are defined and different types of mobile applications are identified. Characteristics of quality are defined and their indicators are constructed to measure levels. Take into account 11 parameters analysis for mobile applications, which are arranged using weights and do a detailed analysis of the system of weights. For SMSEncrypt application performance measurement is done using an aggregate indicator based on the obtained weights system.Mobile, Application, Quality, Analysis, Indicator
Psychosocial Factors in the Development of Low Back Pain Among Professional Drivers
Get PDFBackground and purpose: Professional drivers as a group are exposed to high risk of developing low back pain due to ergonomic factors and work conditions. The purpose of the study was to examine to what extent the low back pain occurs among Slovene professional drivers as a result of the development of various psychosocial factors
Best Practices. Managerial Early Warning System as Best Practice for Project Selection at a Smart Factory
No full textThe purpose of the paper is to contribute to the development of best practices at emerging
factories of the future, i.e. smart factories of Industry 4.0. Smart factories need to develop
effective managerial early warning systems to identify and respond to subtle threats or
opportunities, i.e. weak signals, in order to adapt to an ever-changing environment in a
timely manner and thus gain or maintain a competitive advantage on the market. These
factories need to develop and implement a several-stage early warning system that is
specific to their industry. The aim of our study is, with the help of semi-structured group
interviews, to examine which stages of a managerial early warning system are present in
the case of a global innovative supplier in the automotive industry. As such, a four-stage
managerial early warning system model for a knowledge-based automotive smart factory is
proposed, in which aggregate activities and management decision-making strategies are
defined for each stage, with the importance of intuition being taken into consideration. We
found that managers rely on intuition and extensive analysis for satisficing strategies and
teamwork for optimizing strategies, when using their managerial early warning system
Information Systems in Pre-Combination M&A: Developing an ISOFAM
No full textThis study develops the Information Systems–Organizational Fit Alignment Model (ISOFAM) to evaluate information systems (IS) alignment during the pre-combination phase of mergers and acquisitions (M&A)—a critical yet underexplored stage in integration planning. Through constructivist grounded theory and the reanalysis of qualitative data from two anonymized M&A cases—one domestic (Slovenian) and one cross-border (European)—this study identifies four diagnostic dimensions: Technical Compatibility, Functional Complementarity, Cultural and Governance Fit, and Planning Maturity. ISOFAM is operationalized through visual tools, including the Risk–Opportunity Diagnostic Matrix, IS Misalignment Escalation Flowchart, and Temporal Integration Framework, which facilitate early alignment and strategic foresight. These contributions position IS as a strategic pre-combination priority, enhancing both theoretical and practical outcomes in digital M&A
A Decade of Trials of Interferon-Alpha for Chronic Hepatitis C. A Meta-Regression Analysis
No full textThe most relevant randomized controlled trials of interferon-alpha (IFN) for naive patients with chronic hepatitis C (CHC) published in a decade, just before appearance of pegylated IFN trials in 2000, were included in this paper. Its purpose is to review the relationship between sustained biochemical response in active versus control group versus usual clinical variables as IFN regimens, cirrhosis, genotype and versus less frequently addressed variables as funding, methodological quality or location of principal author. Meta-analysis estimates of global treatment effect varied according to trial design: group 1=IFN versus placebo/no treatment, 32 RCTs, 2499 pts, OR 9.5 (6.3-14.2); group 2a=comparison of IFN schedules, 43 RCTs, 7454 pts, OR 1.6 (1.4-1.9); group 2b=IFN+other drugs versus standard IFN, 30 RCTs, 4737 pts, OR 2.0 (1.6-2.6). Fixed effects (arm-level) meta-regression on the complete data set (171 arms, 10,580 pts) revealed that sustained response was most likely in experimental arms of IFN+ribavirin or other drugs (OR 2.4), arms using yearly schedule (OR 2.0), trial principal author from Asia (OR 1.7), trial sample size >200 (OR 1.4) and arms enrolling less than 50% of cirrhotics (OR 1.3). Moreover, focus was on some significant interactions too, as the effect of trial''s quality interacting to the recorded funding (more benefit if no-profit, less if for-profit) and the effect of trial funding interacting to the location of first author (more benefit if from Asia). Three main effects (experimental arm, cirrhosis, funding) and one interaction (funding*location of principal author) explained 31% of between study variability in a random-effect meta-regression. In a subgroup analysis on a data set including available information on HCV genotype (93 arms, around 7000 pts), meta-regression revealed that genotype 1 or 4 less than 50% per arm and specialistic journal were significant predictors of either biochemical (transaminases) or virological (HCV-RNA) sustained response, in a model including the same main effects identified in the complete data set analysis. Finally, although mostly captured by different IFN regimens along time, heterogeneity of effect in a large set of (not-pegylated) IFN trials was also explained by HCV genotype and variables of quality and reporting, such as trial''s principal author from Asia
Pisma Louisa Adamiča nečaku Tinetu
Get PDFThe article is based upon the publication of a number of letters and short notices (in anauthentic transcript) that Louis Adamic sent to the author, his nephew Tine Kurent, between 1946-50. The contents of these letters as well as some of the author’s spelling errors reveal, besides his current activities and future plans, the writer’s emotional stateat the time when he was writing them.Prispevek se opira na objavo nekaterih pisem (v avtentičnemu prepisu), ki jih je Louis Adamič poslal svojemu nečaku Tinetu Kurentu v letih 1946 - 50. Tako vsebina kot tudi nekatere pravopisne napake v pismih odkrivajo - poleg podatkov o Adamičevih tedanjih dejavnosti in načrtih - tudi njegova čustvena stanja v trenutkih, ki jih je pisal
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