bluuebunny/crossref_metadata_2025 huggingface dataset:
Satellite-observed relationships between land cover, burned area, and atmospheric composition over the southern Amazon
Authors: Sands Emma , Pope Richard J. , Doherty Ruth M. , O'Connor Fiona M. , Wilson Chris , Pumphrey Hugh
Published: October 2024

Abstract. Land surface changes can have substantial impacts on biosphere–atmosphere interactions. In South America, rainforests abundantly emit biogenic volatile organic compounds (BVOCs), which, when coupled with pyrogenic emissions from deforestation fires, can have substantial impacts on regional air quality. We use novel and long-term satellite records of five trace gases, namely isoprene (C5H8), formaldehyde (HCHO), methanol (CH3OH), carbon monoxide (CO), and nitrogen dioxide (NO2), in addition to aerosol optical depth (AOD), vegetation (land cover and leaf area index), and burned area. We characterise the impacts of biogenic and pyrogenic emissions on atmospheric composition for the period 2001 to 2019 in the southern Amazon, a region of substantial deforestation. The seasonal cycle for all of the atmospheric constituents peaks in the dry season (August–October), and the year-to-year variability in CO, HCHO, NO2, and AOD is strongly linked to the burned area. We find a robust relationship between the broadleaf forest cover and total column C5H8 (R2 = 0.59), while the burned area exhibits an approximate fifth root power law relationship with tropospheric column NO2 (R2 = 0.32) in the dry season. Vegetation and burned area together show a relationship with HCHO (R2 = 0.23). Wet-season AOD and CO follow the forest cover distribution. The land surface variables are very weakly correlated with CH3OH, suggesting that other factors drive its spatial distribution. Overall, we provide a detailed observational quantification of biospheric process influences on southern Amazon regional atmospheric composition, which in future studies can be used to help constrain the underpinning processes in Earth system models.
The effects of land use on soil carbon stocks in the UK
Authors: Levy Peter , Bentley Laura , Danks Peter , Emmett Bridget , Garbutt Angus , Heming Stephen , Henrys Peter , Keith Aidan , Lebron Inma , McNamara Niall , Pywell Richard , Redhead John , Robinson David , Wickenden Alexander
Published: October 2024

Abstract. Greenhouse gas stabilisation in the atmosphere is one of the most pressing challenges of this century. Sequestering carbon in the soil by changing land use and management is increasingly proposed as part of climate mitigation strategies, but our understanding of this is limited in quantitative terms. Here we collate a substantial national and regional data set (15 790 soil cores) and analyse it in an advanced statistical modelling framework. This produced new estimates of the effects of land use on soil carbon stock (Sc) in the UK, different in magnitude and ranking order from the previous best estimates. Soil carbon stocks were highest in woodlands, followed by rough grazing, semi-natural grasslands, and improved grasslands, and they were lowest in croplands. Estimates were smaller than the previous estimates, partly because of new data, but mainly because the effect is more reliably characterised using a logarithmic transformation of the data. With the very large data set analysed here, the uncertainty in the differences among land uses was small enough to identify consistent mean effects. However, the variability in these effects was large, and this variability was similar across all surveys. This has important implications for agri-environment schemes seeking to sequester carbon in the soil by altering land use, because the effect of a given intervention is very hard to verify. We examined the validity of the “space-for-time” substitution, and, although the results were not unequivocal, we estimated that the effects are likely to be overestimated by 5 %–33 %, depending upon land use.
Contrasting the Penultimate Glacial Maximum and the Last Glacial Maximum (140 and 21 ka) using coupled climate–ice sheet modelling
Authors: Patterson Violet L. , Gregoire Lauren J. , Ivanovic Ruza F. , Gandy Niall , Owen Jonathan , Smith Robin S. , Pollard Oliver G. , Astfalck Lachlan C. , Valdes Paul J.
Published: October 2024

Abstract. The configuration of the Northern Hemisphere ice sheets during the Penultimate Glacial Maximum differed to the Last Glacial Maximum. However, the reasons for this are not yet fully understood. These differences likely contributed to the varied deglaciation pathways experienced following the glacial maxima and may have had consequences for the interglacial sea level rise. To understand the differences between the North American Ice Sheet at the Last and Penultimate glacial maxima (21 and 140 ka), we perform two perturbed-physics ensembles of 62 simulations using a coupled atmosphere–ice sheet model, FAMOUS-ice, with prescribed surface ocean conditions, in which the North American and Greenland ice sheets are dynamically simulated with the Glimmer ice sheet model. We apply an implausibility metric to find ensemble members that match reconstructed ice extent and volumes at the Last and Penultimate glacial maxima. We use a resulting set of “plausible” parameters to perform sensitivity experiments to decompose the role of climate forcings (orbit, greenhouse gases) and initial conditions on the final ice sheet configurations. This confirms that the initial ice sheet conditions used in the model are extremely important in determining the difference in final ice volumes between both periods due to the large effect of the ice–albedo feedback. In contrast to evidence of a smaller Penultimate North American Ice Sheet, our results show that the climate boundary conditions at these glacial maxima, if considered in isolation, imply a larger Penultimate Glacial Maximum North American Ice Sheet than at the Last Glacial Maximum by around 6 m sea level equivalent. This supports the notion that the growth of the ice sheet prior to the glacial maxima is key in explaining the differences in North American ice volume.
Advancing geodynamic research in Antarctica: Reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN)
Authors: Buchta Eric , Scheinert Mirko , King Matt A. , Wilson Terry , Koulali Achraf , Clarke Peter J. , Gómez Demián , Kendrick Eric , Knöfel Christoph , Busch Peter
Published: October 2024

Abstract. For nearly three decades, geodetic GNSS measurements in Antarctica have provided direct observations of bedrock displacement, which is linked to various geodynamic processes, including plate motion, post-seismic deformation and glacial isostatic adjustment (GIA). Previous geodynamic studies in Antarctica, especially those pertaining to GIA, have been constrained by the limited availability of GNSS data. This is due to the fact that GNSS data are collected by a wide range of institutions and network operators, with the raw observational data either not publicly available or scattered across various repositories. Further, the metadata necessary for rigorous data processing has often not been available or reliable. Consequently, the potential of GNSS observations for geodynamic studies in Antarctica has not been fully exploited yet. Here, we present consistently processed coordinate time series for GNSS sites in Antarctica and the sub-Antarctic region for the time span from 1995 to 2021. The data set is composed of 286 continuous and episodic sites, with 258 sites having a time span longer than three years. The coordinate time series were obtained from a combination of four independent processing solutions using different GNSS software and products, allowing the identification of inconsistencies in individual solutions. From these, we infer a reliable and robust combined solution. A key issue was the thorough reassessment of station metadata to minimise artefacts and biases in the coordinate time series. The resulting data set provides coordinate time series with unprecedented spatio-temporal coverage, promising significant advancements in future geodynamic studies.
Glide-snow avalanches: a mechanical, threshold-based release area model
Authors: Fees Amelie , van Herwijnen Alec , Lombardo Michael , Schweizer Jürg , Lehmann Peter
Published: October 2024

Abstract. Glide-snow avalanches release at the ground–snow interface due to a loss in basal friction. They pose a threat to infrastructure because of the combination of unreliable mitigation measures, limited forecasting capabilities, and a lack of understanding of the release process. The aim of this study was to investigate the influence of spatial variability in basal friction and snowpack properties on the avalanche release area distribution and the release location. We developed a pseudo-3D, mechanical, threshold-based model that consists of many interacting snow columns on a uniform slope. Parameterizations in the model are based on our current understanding of glide-snow avalanche release. The model can reproduce the power law glide-snow avalanche release area distribution as observed on Dorfberg (Davos, Switzerland). A sensitivity analysis of the input parameters showed that the avalanche release area distribution was mostly influenced by the homogeneity (correlation length and variance) of the basal friction and whether the basal friction was reduced suddenly or in small increments. Larger release areas were modeled for a sudden decrease and a more homogeneous basal friction. The spatial variability of the snowpack parameters had little influence on the release area distribution. Extending the model to a real-world slope showed that the modeled location of avalanche releases qualitatively matched the observed locations. The model can help narrow down the length scales and timescales for field investigations. Simultaneously, it can grow in complexity with our increasing understanding of glide-snow avalanche release processes. Input parameters such as the basal friction or snowpack parameters could potentially all be connected to the liquid water content. This would allow for the use of meteorological measurements to drive the model. The model has the potential to help identify potentially dangerous conditions for large or numerous avalanches which would help improve glide-snow avalanche forecasting.
SEMANTIC AND STYLISTIC FEATURES OF EONYMS-EPITHETS IN THE GERMAN LANGUAGE
Authors:   Moscow City University of Management Moscow Government, Tumanova Ekaterina O.
Published: October 2024

Historical, cultural, political, economic and sporting events that are significant for a particular linguistic-cultural community are fixed in the linguistic consciousness of native speakers and are reflected in their lexical composition. The article is devoted to the description of semantic and stylistic peculiarities of German eonyms, i.e. lexical units whose semantics include allusions to the events in various spheres of life that gave rise to them. The research material is represented by "epithets of the year", i.e. adjective names from the rating lists of the annual linguistic campaign of the German Language Society in Germany "Word of the Year" for the period from 1971 to 2023. The author has devoted his study to the description of the main characteristics of the selected units. The special stylistic features of eonyms-adjectives testify to their metaphorical character and the possibility of fulfilling the stylistic function of epithets. The article gives a general characterisation of eonyms-epithets in their diachronic aspect. The approach proposed by the author to the study of the linguistic reflection of historical events in German-language discourse is of interest to specialists in the field of linguistic-cultural studies
ANALYSIS OF THE METHODOLOGICAL BASIS OF AIRCRAFT FLIGHT PATH CONTROL
Authors:   Moscow State Technical University  of Civil Aviation (Irkutsk Branch), Malisov Nikolay P.
Published: October 2024

In the International Civil Aviation Organization, an important area is the development of new approaches to constructing and maintaining effective aircraft flight paths. Developing a flight control system capable of not only stabilizing the position, but also accurately tracking the trajectory for an aircraft is a rather complex task. In this paper, an algorithm for generating trajectory tracking control is proposed based on the methods of optimal control theory (OCT) using optimal filtering theory (OFT) approaches to estimate the trajectory motion parameters. The formulation of an autonomous optimal control problem is considered. In the paper, the flight route maintenance quality indicator is formulated as minimizing the deviation of the actual flight path from the specified one. The expediency of implementing the proposed approach is confirmed by the methods of simulation statistical modeling. To test the validity of the proposed approach, a simulation modeling of a typical flight path tracking under expected operating conditions was performed. Analysis of the results obtained during the simulation modeling shows that the deviation of the controlled flight path parameters from the specified values does not exceed 5 m. The results demonstrate the efficiency of the algorithm for tracking a specified flight path and its stability to external disturbances.
Book influencers in the library?
Authors: Szabó Dóra , Dani Erzsébet
Published: October 2024

The digital revolution has transformed reading promotion in a world where technology competes with traditional entertainment, posing challenges for libraries, especially in engaging audiences. Adapting actively is crucial to making reading appealing. The rise of book influencers and reading promoters on social media is pivotal for reading education, offering libraries opportunities to diversify programs. Using the "walkthrough" method on four platforms, our research identified 60 Hungarian book influencers and reading promoters. Structured interviews with 23 influencers aimed to unveil their activities, motivations, and the aspirations and reading experiences behind their content. The study contributes to literary and cultural mediation, exploring the intersection between libraries and literacy promoters. It addresses how literacy promoters can enhance reading promotion in the community, emphasizing their role in generating interest in books and literature. Findings suggest that social media and influencers complement libraries' literacy strategies, benefiting both libraries and readers. Collaborating with influencers can foster a reading culture aligned with the digital era's demands. Encouraging influencers to collaborate could also educate their followers, transforming them into library users.
Mapping the SDG 4 Process: Algorithmic Literacy Among Students of the University of Sarajevo
Authors: Adilović Emina
Published: October 2024

Utilizing a mixed-method approach, this research aims to evaluate algorithmic literacy among students at the University of Sarajevo - Faculty of Political Sciences and the Faculty of Philosophy (BIH), and to assess the possibilities for improving existing practices of media and information literacy (MIL) integration. The central research question investigates how current MIL educational strategies influence students' awareness and understanding of the roles algorithms play in the digital transformation of a society striving for sustainable development. Therefore, the study encompasses a descriptive method of holistic approach elements: strategic documents, MIL book edition and MOOC modules. Subsequently, a thematic analysis of ten qualitative interviews with students further explores their experiences, attitudes, and perceptions regarding information, media, and algorithms. The research results offer insights into the potential of MIL education to support algorithmic literacy and its potential contribution to sustainable development, particularly focusing on SDG 4 - Quality Education. By aligning its findings with the objectives of a universally applicable goal, this study not only addresses the context of algorithmic literacy as an integral component of quality education but also serves as a step towards advancing the interconnectedness of open education and artificial intelligence.
Research Data Management from Hungarian Perspective
Authors: Galih Aulia Puspaning , Barát Ágnes Hajdu
Published: October 2024

In science and education, research data is a valuable resource that can be utilized and repurposed for future use. Research data management is crucial for successful research, as it can generate reliable and advantageous results and facilitate accurate decision-making. The systematic review study followed the PRISMA Statement standards for reporting. Data regarding research data management from a Hungarian perspective was collected from SCOPUS, Web of Science, and EBSCO databases on January 5th, 2024. Forty-one records were identified from SCOPUS, Web of Science, and EBSCO databases. After screening, the remaining 13 articles were included in this study. The Hungarian authors discussed four distinct research data management activities. The activities included data sharing, data citation, data curation, and data storage. Several additional data-related concepts, such as data governance, data quality, data literacy, and research data service, were also examined in this study.
Data on librarians' perceptions of participation in a citizen science project in a network of public libraries
Authors: Pimentel Filipa Alexandra Santos , Esteves Gomes Liliana Isabel
Published: October 2024

Citizen Science (CS) is an approach to scientific work and part of the Open Science movement. This study aims to analyse the perception of the librarians about their participation in the aBEIRAr project, which is a CS partnership for the valorisation of the territory developed in the Intermunicipal Network of Libraries of Beiras and Serra da Estrela (RIBBSE) in Portugal. The methodology comprised a literature review, and the case study includes an interview and a survey. Of the results obtained, the following stand out: the libraries are the driving forces behind the aBEIRAr project; they choose the themes, organise and dynamize the activities in their local communities, and establish various partnerships with the mediation of the project's scientific coordination; the level of satisfaction of the librarians in this project is very satisfactory; in the libraries, after carrying out the aBEIRAr project, the number of participants in other face-to-face activities and the interaction on their social network profiles increased; librarians consider that CS can bring to public libraries and their users participative scientific knowledge. The data provides valuable insights into the possibilities and challenges associated with executing CS projects in collaboration with public libraries. These findings contribute to the ongoing discussion about the role of libraries as essential community centers.
Verbum abbreviatum i silentium Dei u Benedykta XVI a przedmiot i metoda egzegezy biblijnej
Authors: Linke Waldemar
Published: October 2024

Artykuł prezentuje możliwości rozwoju egzegezy biblijnej z punktu widzenia teorii poznania oraz metodologii, które wychodzą od dwóch pojęć – verbum abbreviatum i silentium Dei – jakie pojawiają się w adhortacji Verbum Domini dzięki wpływowi Benedykta XVI. Te dwa terminy są istotne dla opisania przedmiotu egzegezy biblijnej jako nauki w obszarze nauk teologicznych. Analiza użycia i rozumienia verbum abbreviatum w adhortacji Verbum Domini stanowi pierwszą część niniejszego artykułu. Druga część jest dopowiedzeniem na temat motywu silentium Dei. Dysproporcja między nimi odpowiada różnorodności ról, jakie pełnią w konstrukcji dokumentu. Silentium Dei jest bowiem ważnym, ale tylko dopowiedzeniem do teologii Słowa. Razem tworzą one opisową część artykułu. Część trzecia jest poszukiwaniem odpowiedzi na pytanie, czym zajmuje się egzegeza biblijna, a więc jaki jest jej przedmiot formalny. W ten sposób przechodzi się do zasadniczych problemów epistemologicznych egzegezy biblijnej. Rozpatrywane są one w świetle analizy wyżej wspomnianych pojęć w myśli Benedykta XVI i we wzmiankowanym dokumencie. Przyjęte podejście fenomenologiczne jest jedną z dróg prowadzących do odpowiedzi na pytanie, czym zajmuje się egzegeza biblijna, oraz metodologicznych konsekwencji tej odpowiedzi. Fenomenologiczne ujęcie Pisma Świętego jako przedmiotu egzegezy biblijnej ma na celu włączenie aspektu teologicznego do rozważań egzegetycznych oraz ukazanie zabiegów egzegetycznych jako wewnętrznie powiązanych z teologiczną interpretacją Biblii. W sferze metodologii egzegezy Pisma Świętego daje to możliwość zbudowania projektu metodologicznego, który z jednej strony wykorzysta wszystkie procedury badawcze, pozwoli wyeliminować ideologiczne elementy włączane do badań, a z drugiej strony zachowa teologiczny sens badań egzegetycznych. W ostatniej części artykułu autor analizuje różne próby ujęcia problemu teologicznej metody egzegetycznej w badaniach biblijnych, by opierając się na dotychczasowej refleksji, przedstawić własną propozycję.
Development a data mining techniques to detect and prevention cyber attack for cybersecurity
Authors: Shihab Ahmed Ahmed
Published: October 2024

The identification and forecasting of cyber-attacks is crucial process. In this article, we describe a paradigm for cyber security that makes use of data mining to forecast cyberattacks and identify appropriate countermeasures. The framework’s two primary elements are the surveillance and prevention of cyberattacks. The system constructs a predictive model to forecast future cyberattacks after first extracting appropriate timing with cyberattacks from previous data that used a decision tree based on the J48 algorithm. A variety of cyber-attacks, involving DDoS, port scans, and SQL Injection, are described in the datasets. The suggested framework effectively recognizes cyberattacks and gives patterns associated with them. The suggested predictive algorithm for identifying cyberattacks has a 99% average prediction performance. The predictions model’s test outcomes demonstrate how effective it is at spotting potential cyberattacks in the future. Moreover, solutions like malware detection and monitoring were provided using data mining. Given the state of computer networks today Users of computer networks ought to take security very seriously. In this article, implications of data mining for risk evaluation and identification were highlighted, along with a unique method for quickly and accurately detecting malware.
PRAXEOLOGICAL ANALYSIS OF ESG: THE PRACTICAL IMPLEMENTATION OF THE STAKEHOLDER MODEL
Authors: Álvaro Herrando Guibert
Published: October 2024

This paper presents a praxeological examination of ESG —Environmental, Social, and Governance— conceptualized as the practical enactment of the Stakeholder Model, where the corporation is seen as an instrument for social organization. At the heart of this scrutiny is the entrepreneurial function, explored through the lens of the impossibility of economic calculation theory, dynamic efficiency theory, and the theory of spontaneous order. These notions are contrasted against the neoclassical critique of ESG challenges, underscoring that the Austrian viewpoint penetrates more profoundly into the fundamental issue: ESG is an institutional encroachment on the entrepreneurial function and, thus, a variant of socialism that induces miscoordination in social processes. The paper delves into the multifaceted causes and resultant effects, elucidating why the prevailing prescriptions for ESG enhancement are likely to lead to augmented regulation and further miscoordination.
DUDAS RAZONABLES. UN ALEGATO CONTRA EL CATASTROFISMO CLIMÁTICO
Authors: Juan José Mercado
Published: October 2024

Según las últimas estimaciones, la edad de la Tierra se cifra en 4.543 millones de años. En todo ese tiempo, lo único permanente ha sido, paradójicamente, el cambio. Convertido inicialmente en una inmensa bola de fuego, nuestro planeta ha ido conformándose a base de todo tipo de catástrofes naturales: meteoritos, terremotos, inundaciones, huracanes y los más bruscos cambios de temperatura han sido la causa directa de todo cuanto hoy vemos a nuestro alrededor.Los seres humanos anatómicamente modernos sólo hemos sido testigos de los últimos 200.000 años y nuestro éxito como especie se ha debido, precisamente, a la gran capacidad de adaptación frente al entorno hostil que representaba para nosotros la Tierra y su cambiante clima.
Distributed Ledger Technology and Financial Reporting Integrity in Nigerian Quoted Banks: A Study on Error Reduction and Enhanced Transparency
Authors: B. M. Sowunmi, , S. Mlanga, , A. E. Oriakpono,
Published: October 2024

This study investigated the effect of distributed ledger technology (DLT) factors on eliminating financial reporting errors (FREs) in quoted Nigerian banks. Using an exploratory survey design, data was collected from 300 employees of 14 quoted banks involved in financial reporting. DLT factors of public, private, hybrid, and blockchain were examined as independent variables affecting the dependent variable of FRE elimination. Descriptive analysis showed that all DLT types were perceived as highly effective for error reduction. Correlation analysis revealed strong positive relationships between DLT factors and FRE mitigation. Regression modeling found that hybrid DLT had the largest impact on error elimination, followed by private, public, and blockchain DLT. Together, the DLT factors explained 98.1% of the variance in FRE reduction. The results statistically established the significant positive effects of DLT factors on eliminating prevalent FREs like principle, omission, entry, disclosure, and reversal errors. Key contributions include providing robust empirical evidence that leveraging DLT, especially hybrid DLT, can eliminate common financial reporting errors in Nigerian banks. The pioneering study expands conceptualizations, theories, and literature regarding DLT's potential to comprehensively transform financial reporting accuracy. It offers important implications for policy, practice, and research on regulating, adopting, and studying DLT solutions to address persistent financial statement errors undermining stakeholder trust in Nigeria's banking sector. The study concludes by strongly recommending for policy and, in practice, the regulation and full adoption of DLT for the elimination of FREs in Nigeria.
Assessment of Haematological Parameters and Body Mass Index Among Geriatric Out- Patients in Ekpoma, Edo State
Authors: O. E. Izevbuwa, , L. O. Asika, , G. C. Samuel, , G. E. Oboro,
Published: October 2024

Aging is associated with physiological changes that affect various bodily systems, including the hematological system. This study aimed to evaluate hematological parameters and Body Mass Index (BMI) in geriatric subjects (≥60 years) and compare them with apparently healthy young adults (20-33 years). A total of 100 subjects (50 geriatrics and 50 controls) were recruited for this study. Hematological parameters, including white blood cell count, lymphocyte count, granulocyte count, red blood cell count, hemoglobin concentration, packed cell volume, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, and platelet count, were assessed. BMI was calculated, and comparisons were made between geriatric and control groups. The results showed higher BMI values in geriatric subjects, although not statistically significant. White blood cell count was lower in geriatric subjects, while lymphocyte count, granulocyte count, and platelet count showed no significant differences. Hemoglobin concentration and packed cell volume were significantly higher in geriatric subjects. The findings suggest that ageing is associated with changes in hematological parameters and BMI, which may not necessarily indicate disease. The study's results are consistent with World Health Organization (WHO) criteria for hematological values among blacks and highlight the importance of considering age-related changes in hematological parameters when assessing the health status of geriatric subjects.
Triglyceride levels and remnant cholesterol triglyceride-rich lipoproteins in metabolic syndrome and diabetes
Authors: Simonova G. I. , Shcherbakova L. V. , Malyutina S. K. , Kashirina A. P. , Ragino Yu. I.
Published: October 2024

In recent years, new epidemiological and genetic data have been obtained on the role of triglycerides (TG) and remnant cholesterol (RC) triglyceride-rich lipoproteins in increasing the residual risk of atherosclerosis-associated cardiovascular diseases (ACCD) in metabolic disorders. The aim of the study was to study the associations of different levels of triglycerides and RC triglyceriderich lipoproteins with metabolic syndrome (MS) and type 2 diabetes mellitus (TDM2) in the Siberian population.

Material and methods. The research was carried out on the materials of the international epidemiological project HAPIEE (n = 9360 people) in people aged 45–69 years. In accordance with the protocol, a questionnaire, anthropometry, and biochemical research were conducted. Abdominal obesity (AO) was found with a waist circumference of ≥ 94 cm in men and ≥ 80 cm in women. MS was diagnosed according to the criteria of the IDF (2005), TDM2 – at fasting glucose levels ≥ 7.0 mmol/l (WHO, 1999, ADA, 2013), hypertriglyceridemia (hyperTG) – according to the definitions of NCEP ATP III, 2002 and the Russian Clinical Guidelines on lipid metabolism disorders, 2023. RC levels are calculated using the formula: total cholesterol (TC) – HDL cholesterol – LDL cholesterol mmol/L. The triglyceride-glucose index (TyG) was determined by the formula: TyG = ln [Fasting triglycerides (mg/dl) x Fasting glucose (mg/dl)/2].

Results. Median values and prevalence of various levels of TG have been determined (<1.7; ≥ 1.7 < 2.3; ≥ 2.3 < 5.6; ≥ 5.6 mmol/l). An increase in the prevalence of MS and TDM2 has been shown depending on the levels of hyperTG. High values of RC in AO, MS, and TDM2 were revealed in men and women: 0.68; 0.76; 0.90 and 0.68; 0.79 and 0.93, respectively. In 60 % of men and 80 % of women, RC was ≥ 0.5 mmol/l. An increase in RC was shown from values of 0.51–0.54 mmol/l at TG < 1.7 mmol/l to higher values of 1.26–1.29 at TG ≥ 2.3 < 5.6 mmol/l. The frequency of AO, MS, TDM2 in quintiles (Q) of RC increases linearly from Q1 to Q5. It is shown that from Q1 to Q5 TyG, the levels of RC increase in each subsequent quintile: from 0.36–0.38 in Q1 to 1.1–1.12 mmol/l in Q5.

Conclusions. The medians and prevalence of various levels of TG and RC in MS and TDM2 and without metabolic disorders were determined. RC values increase from mild to moderate and high hypertriglyceridemia.
Preface for LLMs4OL 2024: The 1st Large Language Models for Ontology Learning Challenge at the 23rd ISWC
Authors: Babaei Giglou Hamed , D’Souza Jennifer , Auer Sören
Published: October 2024

We are pleased to present the proceedings of the “1st Large Language Models for Ontology Learning Challenge (LLMs4OL 2024)”, held at the 23rd International Semantic Web Conference (ISWC). This challenge marks a significant a dvancement in utilizing Large Language Models (LLMs) for Ontology Learning (OL)—a key Semantic Web component that facilitates the automatic extraction of structured knowledge from unstructured data. The challenge features three main tasks: Term Typing (identifying categories for terms), Taxonomy Discovery (uncovering hierarchical relationships), and Non-Taxonomic Relation Extraction (identifying other meaningful relationships between terms). Each task is designed to test different facets of ontology construction and to encourage the exploration of innovative techniques. This challenge seeks to foster collaboration, inspire innovation, and expand the capabilities of LLMs in OL. The proceedings include a collection of innovative solutions and insights from global participants, highlighting the crucial role of LLMs in enhancing the web with structured knowledge. We believe the outcomes of this challenge will propel further advancements in OL and its applications on the semantic web. We would like to extend our gratitude to all the participants for their invaluable contributions, which their solutions and dedication have greatly enriched this challenge. Our sincere thanks also go to the conference organizers and committee for their efforts in hosting this event. We are deeply appreciative of the reviewers for their evaluations and feedback. Their reviews have been instrumental in enhancing the quality of the submissions. We would like to specifically acknowledge:

Dr. Amin Keshavarzi (Postdoctoral Researcher, L3S & TIB, Germany)
Mostafa Rahgouy (Lead Project Coordinator, Auburn University, USA)
Sahar Tahmasebi (Doctoral Researcher, TIB, Germany)
Milad Molazadeh Oskuee (Lead NLP Researcher, Iran)
Aida Usmanova (Doctoral Researcher, Leuphana Universit ¨ at L¨uneburg, Germany)
Emetis Niazmand (Doctoral Researcher, TIB, Germany)

Lastly, we would like to express our gratitude to ”Xenia Felice van Edig” and ”Karolina Linerová” from the TIB Open Publishing, for their support in bringing these proceedings online.
We also would like to acknowledge that the 1st LLMs4OL Challenge @ ISWC 2024 jointly supported by the NFDI4DataScience initiative (DFG, German Research Foundation, Grant ID: 460234259) and the SCINEXT project (BMBF, German Federal Ministry of Education and Research, Grant ID: 01lS22070).
LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
Authors: Babaei Giglou Hamed , D’Souza Jennifer , Auer Sören
Published: October 2024

This paper outlines the LLMs4OL 2024, the first edition of the Large Language Models for Ontology Learning Challenge. LLMs4OL is a community development initiative collocated with the 23rd International Semantic Web Conference (ISWC) to explore the potential of Large Language Models (LLMs) in Ontology Learning (OL), a vital process for enhancing the web with structured knowledge to improve interoperability. By leveraging LLMs, the challenge aims to advance understanding and innovation in OL, aligning with the goals of the Semantic Web to create a more intelligent and user-friendly web. In this paper, we give an overview of the 2024 edition of the LLMs4OL challenge and summarize the contributions.
LLMs4OL 2024 Datasets: Toward Ontology Learning with Large Language Models
Authors: Babaei Giglou Hamed , D’Souza Jennifer , Sadruddin Sameer , Auer Sören
Published: October 2024

Ontology learning (OL) from unstructured data has evolved significantly, with recent advancements integrating large language models (LLMs) to enhance various aspects of the process. The paper introduces the LLMs4OL 2024 datasets, developed to benchmark and advance research in OL using LLMs. The LLMs4OL 2024 dataset as a key component of the LLMs4OL Challenge, targets three primary OL tasks: Term Typing, Taxonomy Discovery, and Non-Taxonomic Relation Extraction. It encompasses seven domains, i.e. lexosemantics and biological functions, offering a comprehensive resource for evaluating LLM-based OL approaches Each task within the dataset is carefully crafted to facilitate both Few-Shot (FS) and Zero-Shot (ZS) evaluation scenarios, allowing for robust assessment of model performance across different knowledge domains to address a critical gap in the field by offering standardized benchmarks for fair comparison for evaluating LLM applications in OL.
silp_nlp at LLMs4OL 2024 Tasks A, B, and C: Ontology Learning through Prompts with LLMs
Authors: Kumar Goyal Pankaj , Singh Sumit , Shanker Tiwary Uma
Published: October 2024

Our team, silp_nlp, participated in the LLMs4OL Challenge at ISWC 2024, engaging in all three tasks focused on ontology generation. The tasks include predicting the type of a given term, extracting a hierarchical taxonomy between two terms, and extracting non-taxonomy relations between two terms. To accomplish these tasks, we used machine learning models such as random forest, logistic regression and generative models for the first task and generative models such as llama-3-8b-instruct, mistral 8*7b and GPT-4o-mini for the second and third tasks. Our results showed that generative models performed better for certain domains, such as subtasks A6 and B2. However, for other domains, the prompt-based technique failed to generate promising results. Our team achieved first place in six subtasks and second place in five subtasks, demonstrating our expertise in ontology generation.
Understanding Global Market Development Strategies: A Qualitative Inquiry into Business, Public Administration Strategy Adaptation and International Supply Chain Management in the Globalization Era
Authors: Prasodjo Tunggul
Published: October 2024

This research provides a comprehensive exploration of global market development strategies, business strategy adaptation, and international supply chain management in the globalization era. The study aims to understand the complex interplay of factors shaping contemporary business practices and to derive insights for enhancing competitiveness in international markets. The research adopts a qualitative inquiry approach, synthesizing existing literature and scholarly perspectives to analyze the phenomena under investigation. Through a thorough review of relevant literature, the study identifies key themes and theoretical frameworks, providing a nuanced understanding of global business dynamics. The findings highlight the diverse strategies employed by firms to navigate international markets, adapt to changing business environments, and manage global supply chain networks effectively. Insights gleaned from the research underscore the importance of strategic adaptation, dynamic capabilities, and collaboration in driving business success in the global marketplace. Moreover, the study elucidates the significance of supply chain resilience, agility, and digitalization in mitigating risks and capitalizing on opportunities in an interconnected world. The implications of the research extend to both theoretical and managerial domains, informing evidence-based strategies for sustainable growth and competitiveness in the globalization era.
Analysis of The Factors of Competitive Advantage of Women SME Actor: Empirical Study From Limo Sub-District, Depok City, Indonesia
Authors: Nobelson N. , Yuliniar Y.
Published: October 2024

The development of the SME sector plays a vital role in the Indonesian economy, contributing significantly to gross domestic product, employment, and exports. Despite the complex challenges, attention to women's SMEs is increasing in the Limo District, Depok City. This quantitative research uses the factor analysis method to analyze the competitive advantage factors of women SME actors with a sample of 100 persons. This study identifies and analyzes the application of competitive advantage factors that support the performance of women SMEs. The results show that women SMEs can adapt and innovate despite capital and knowledge limitations. The implications of this research guide for the government and related institutions to formulate strategies to improve the performance and contribution of women SMEs in sustainable economic development in the region.
NÃO CONFORMIDADE ENCONTRADOS NA FASE PRÉ-ANALÍTICA EM UM LABORATÓRIO DE UM HOSPITAL DE ALTA COMPLEXIDADE NO OESTE DO PARANÁ
Authors: Santana AH , Simon C , Suldofski MT
Published: October 2024

Objetivo: Identificar e descrever as principais causas de solicitação de recoleta em um laboratório de análises clínicas em um hospital de alta complexidade. Método: Trata-se de um estudo retrospectivo e transversal, no qual serão analisados os pedidos de recoleta de amostras biológicas, no período do mês de setembro de 2021, por meio da análise do registro de recoletas feito pelo setor, em uma planilha manual. Conclusão: Após o estudo realizado, concluiu-se que as causas de recoletas mais frequentes foram presenças de coágulo e hemólise. Os resultados encontrados apontam a necessidade de reforçar estudos no controle de qualidade para adotar medidas direcionadas à melhoria do processo pré-analítico, a fim de garantir a segurança e o conforto do paciente, bem como a qualidade e a confiabilidade do laboratório.
VALIDAÇÃO DO ENSAIO DE ALDOSTERONA E RENINA DIRETA NA PLATAFORMA IDS-ISYS
Authors: Watanabe MJL , Menegat FD , Alexandre AM , Batista MC
Published: October 2024

Objetivo: Avaliar o desempenho analítico dos ensaios de aldosterona e renina direta na plataforma IDS-iSYS. Método: Amostras plasmáticas da rotina do laboratório, previamente dosadas como atividade plasmática de renina e aldosterona por cromatografia líquida-espectometria de massas (LC-MS/MS), foram selecionadas para os testes de validação dos ensaios IDS-iSYS. O ensaio de renina direta é imunométrico sanduíche, ao passo que o de aldosterona é competitivo, ambos utilizando anticorpos monoclonais e traçador quimioluminescente acridina. A variação interensaio foi avaliada em duas amostras dosadas em duplicata, 2× ao dia, durante cinco dias. A linearidade foi analisada misturando duas amostras com valor baixo e alto, em diferentes proporções. A correlação com LC-MS/MS foi realizada em 22-28 amostras normais e alteradas. O intervalo de referência foi validado em 19-20 amostras normais. Conclusão: Referente à aldosterona, a variação interensaio foi 4,3% e 2,61% em 14,96 ng/dl e 69,86 ng/dl, respectivamente. O ensaio foi linear no intervalo de 14,4 a 73,3 ng/dl. A correlação foi 0,97 (sexo feminino) e 0,91 (sexo masculino). Cem por cento das amostras femininas e masculinas apresentaram resultados dentro do intervalo de referência. Referente à renina direta, a variação interensaio foi 3,04% e 3,45% em 88,63 microUI/ml e 291,16 microUI/ml, respectivamente. O ensaio foi linear no intervalo de 16 a 295,80 microUI/ml. A correlação foi 1,00 (feminino) e 0,98 (masculino). Cem por cento das amostras femininas e 95% das masculinas apresentaram resultados dentro do intervalo de referência. Portanto, validamos e implementamos os ensaios IDS-iSYS na rotina do laboratório, o que permite aplicar valores de corte bem definidos e específicos para a relação aldosterona/renina dosadas nesses ensaios, facilitando o rastreamento de pacientes com suspeita de hiperaldosteronismo primário.
DOSAGEM DE ESTRIOL (E3) POR CROMATOGRAFIA LÍQUIDA ACOPLADA À ESPECTROMETRIA DE MASSAS (LC-MS/MS)
Authors: Sanches LR , Cruz PBM , Leme AC , Batista MC
Published: October 2024

Objetivo: O LC-MS/MS é o padrão-ouro para dosagem de esteroides, por ser mais específico e exato que o imunoensaio. Descrevemos aqui um LC-MS/MS próprio para dosagem de E3. Método: Amostras de soro (0,25 ml) foram adicionadas de 0,05 ml padrão interno (estriol-2,3,4-13C3) e 0,25 ml acetonitrila, agitadas por 2 minutos e centrifugadas a 4000 rotações por minuto (rpm) por 5 minutos. O sobrenadante foi adicionado de 1 ml MTBE, novamente agitado e centrifugado e, em segudia, evaporado sob fluxo de N2 a 60°C. O resíduo foi reconstituído com 0,2 ml água:metanol (9:1), filtrado e injetado (0,05 ml) no cromatógrafo. A coluna (C18 Kinetex, 2,6 μM, 100 × 3 mm) foi eluída com água:metanol (45:55, v/v) e fluxo 0,5 ml/min. O MS foi operado com ionização eletrospray, modo negativo, sendo monitoradas as transições 281,1/171 para o E3, e 290/148 para o padrão interno. Conclusão: Nenhum pico interferente foi detectado no tempo de retenção do E3 (1,7 min), nem houve carryover. Amostras normais, hemolisadas ou lipêmicas não exerceram efeito matriz significativo. A linearidade foi testada por meio de curva de calibração em triplicata com nove pontos cada (0,06-20 ng/ml), com concentrações medidas até 15% dos seus valores nominais. A diluição máxima aprovada foi 1:5, gerando intervalo de relato clínico 0,06-100 ng/ml. A precisão e a exatidão intra e interdia foram testadas medindo cinco replicatas em cinco níveis por três dias sucessivos, sendo de, no máximo, 4,8% e 12,7%, respectivamente. No teste de infusão do E3 com injeção simultânea da matriz biológica, não houve alteração da ionização. O E3 permaneceu estável em soro por três ciclos de congelamento/descongelamento, 3 d a temperatura ambiente (TA), 40 d a 2-8ºC, 90 d a -30ºC e 3 d pós-processamento. A comparação de 20 amostras com outro LC-MS/MS validado mostrou bias de 11,9%, dentro do erro aceitável de 15%. Em resumo, nosso método fornece dosagens precisas e exatas de estriol.
AVALIAÇÃO DO PERFIL DE VERIFICAÇÃO AUTOMÁTICA DE RESULTADOS DE UM LABORATÓRIO CLÍNICO AMBULATORIAL
Authors: Schmitt LML , Welter LCM , Branco RM , Barreto BO , Araujo CM , Nery LFA
Published: October 2024

Objetivo: Avaliar o perfil de verificação automática de resultados, sua evolução e seu desempenho em um laboratório clínico ambulatorial privado, por meio de análise estatística de dados do LIS dos últimos cinco anos. Método: Realizado levantamento estatístico não selecionado e sequencial dos resultados liberados por verificação automática nos anos de 2017, 2018, 2019, 2020 e 2021 de um laboratório de análises clínicas de Blumenau, Santa Catarina, e região. Não houve critério de exclusão; levou-se em consideração o número total de exames no período e os setores de liberação de resultados. Os principais critérios utilizados para liberação automática são os intervalos de referência, os níveis de decisão clínica e o delta check, com variações de 10%, 20% e 30%. Conclusão: Houve progressão significativa do percentual de verificação automática, iniciando em 2017 com 55,72% e chegando a 80,56% em dezembro de 2018, acompanhando o crescimento na produção total de exames. Entre 2018 e 2021, a produção do laboratório continua em crescimento, entretanto, o percentual de verificação automática se mantém estável, com resultados próximos ou maiores que 80% durante todo o período. Apesar de o laboratório utilizar regras simplificadas de liberação automática, constatou-se melhora no TAT analítico, com redução de 35,54% (3h) do TAT e na produtividade analítica. Os setores de imunologia e bioquímica são os de maior representatividade. Os resultados obtidos demonstram uma evolução positiva nos índices de verificação automática ao longo dos anos, com redução do TAT analítico, e possibilitam aos analistas direcionar o foco para um número reduzido de amostras e resultados que exigem revisão manual e investigação, melhorando a performance operacional. Entretanto, é possível melhorar esse processo com a utilização de algoritmo de verificação robusto, validado e adequado à realidade da organização, potencializando a segurança analítica e a satisfação médica.