bluuebunny/crossref_metadata_2025 huggingface dataset:
Identifying Medication Review Topics to be Documented in a Structured Form in Electronic Health Record Systems: A Delphi Consensus Survey (Preprint)
Authors: Lindholm Tanja Patricia , Lias Noora Hannele , Kvarnström Kirsi Maarit Katariina , Holmström Anna-Riia , Toivo Terhi Maria , Uusitalo Marjo Anneli , Nurmi Harri Petteri , Airaksinen Marja Sisko Anneli
Published: December 2024

BACKGROUND

Poor data transfer between electronic health record (EHR) systems has been a challenge hindering availability and usability of patient information in clinical practice and evidence-based decision making. To improve data transfer, patient information should be documented in a structured format. This also applies to medication-related patient information and results of the interventions, such as medication reviews (MRs), to individually optimize medication regimens, especially in older adults.

OBJECTIVE

The aim of this study was to identify what information obtained from MRs should be documented in a structured form in EHRs at a national and organizational level.

METHODS

The study was conducted as a three-round Delphi consensus survey in 2020. The electronic survey was based on a comprehensive inventory of international and national MR procedures in various settings. Expert panelists (n=41) independently assessed which topics should be documented in a structured form in EHRs. The interprofessional panel (n=41) consisted of 12 physicians, 13 pharmacists, 10 nurses, and six information management professionals (participation rate 66-76% in rounds 1-3, consensus limit set at 80%). The responses were analyzed quantitatively and qualitatively.

RESULTS

Consensus was reached on 108/111 of predetermined topics to be documented in a structured form in EHRs. Of them, 39 concerned the MR process, 25 potentially drug-induced symptoms, 11 burden of risks for adverse drug effects, 12 laboratory tests and other test results, 12 medication adherence and nine use of intoxicants. The patient’s blood pressure (mean 4.85±0.53 on a Likert scale 1–5), kidney function (4.81±0.56) and risk of bleeding (4.81±0.56) were ranked as the three most important topics to be documented in a structured form. The panel reached a consensus that the information obtained from MRs should be made available to all healthcare professionals in the national digital repository for patient data and to patients to some extent.

CONCLUSIONS

The interprofessional expert panel strongly agreed on the results of the MRs that should be documented in a structured form in EHRs and made available both to health professionals involved in care teams and to patients themselves.
The Current Status of Artificial Intelligence Technology in Elderly Home Care (Preprint)
Authors: Feng Hua , Yin Xiuting , Li Jing , Zhang Zhen
Published: December 2024

UNSTRUCTURED

In recent years, artificial intelligence technology has played an increasingly important role in elderly home care. This paper reviews the applications of artificial intelligence technology in this field, including smart monitoring devices, social support, and mental health support. However, these applications also face challenges such as functional positioning, ethical requirements, and effectiveness evaluation.
Structural Characterization and Functional Assessment of the Alpha-Expansin Precursor in Oryza sativa (Preprint)
Authors: Nayem Rofiqul Islam , Saha Mridha , Sourav Md. Touhidul Islam
Published: December 2024

UNSTRUCTURED

Expansins are vital proteins that facilitate cell wall loosening, playing a crucial role in plant growth and development. This study investigates the structural and functional characteristics of the alpha-expansin precursor (GenBank ID: AAL79710.1) in Oryza sativa (Japanese rice). Through bioinformatics analyses, including ProtParam, CELLO, and conserved domain identification, we identified key biochemical properties, such as a molecular weight of approximately 28 kDa, a basic isoelectric point (pI 9.40), and significant levels of alanine and glycine. The CELLO analysis predicted the protein's localization primarily in the extracellular space, consistent with its role in modifying the cell wall. Homology searches revealed high similarity to expansin-A29 proteins in related species, while phylogenetic analysis indicated a close evolutionary relationship among monocots. Structural modeling predicted a well-folded protein, though refinement is necessary to address certain discrepancies highlighted in the QMEANDisCo analysis. Our findings underscore the evolutionary conservation of alpha-expansins and their integral role in plant physiology, particularly in cell wall dynamics and stress responses. This research enhances our understanding of alpha-expansins in rice and lays the groundwork for future studies aimed at manipulating these proteins to improve crop resilience and yield under changing environmental conditions.
Large Language Model Architectures in Healthcare: A Scoping Review of Research Perspectives (Preprint)
Authors: Leiser Florian , Guse Richard , Sunyaev Ali
Published: December 2024

UNSTRUCTURED

Background and Objective: Large language models (LLMs) can provide benefits for most medical applications. However, while most studies investigate how LLMs are used, they neglect the importance of selecting suitable LLM architectures.
Methods: We conduct a scoping review, to identify which LLMs are used in healthcare. Our search included manuscripts from PubMed, arXiv, and medRxiv. We used open and selective coding to assess the 114 identified manuscripts regarding 11 dimensions related to usage and technical facets.
Results: We identify four foci that emerged previously in manuscripts with a focus on investigating LLM performance. We find that GPT-based models are used for general purposes like exam preparation or communicating symptoms and treatments, while BERT-based models are used for knowledge discovery and model improvements.
Conclusions: Healthcare professionals should consider the intended purpose to select the best-suited LLM architecture. Our study suggests that GPT-based model can aid general-purpose tasks in healthcare like report generation or treatment recommendations. However, other LLM families like BERT seem to allow easier extensions of their models for domain-specific tasks.
From conflict to care: The crucial role of telemedicine in healthcare service utilization during war (Preprint)
Authors: Sberro Cohen Sarah , Ellen Moriah
Published: December 2024

UNSTRUCTURED

This study investigates the impact of the October 7, 2023, war on healthcare service utilization within Israel's community healthcare system. A retrospective cohort analysis was conducted across primary care (family medicine, pediatrics, and gynecology), secondary care (orthopedics, ENT, dermatology, and ophthalmology), nursing, physiotherapy, nutrition, and mental health sectors. Data were collected at three time points: the first month of the war (T0), the month before the war (T1), and the same period from the previous year (T2), encompassing 7.25 million visits and inquiries. Our analysis revealed that the primary conflict zones (Southern district) experienced the most significant disruptions, with a 20% increase in telemedicine consultations, particularly in nutrition, mental health, family medicine, and gynecology services. Among these, nutrition services exhibited the most dramatic shift, with the proportion of remote consultations more than doubling during the war period, rising from 27% pre-war to over 52% during the conflict. This shift underscores the critical role of telemedicine, especially in nutrition and mental health services, during crises. The findings highlight the urgent need to enhance digital health infrastructure to ensure continued accessibility and quality of care under extreme conditions.
Nueva Escuela Mexicana: valoraciones iniciales de maestras y maestros de educación preescolar del Valle de Toluca
Authors: Campos Alba Elida Lucila , Granados López Pedro Alejandro
Published: December 2024

La reforma educativa impulsada por el gobierno del presidente Andrés Manuel López Obrador, denominada Nueva Escuela Mexicana, se dio a conocer a los docentes de educación básica en el ciclo escolar 2022-2023 y comenzó a operar en las escuelas a partir del ciclo 2023-2024. Este artículo explora las reacciones y valoraciones, de los docentes de preescolar del Valle de Toluca en relación con tres ejes de análisis: el proceso de formación permanente o capacitación; la recepción e interpretación de los planes y programas; y el impacto de ambos en las prácticas docentes en los jardines de niños federalizados.
AI Governance in Austria and Australia: Learning from the Antipodeans
Authors:   AIT - Austrian Institute of Technology, Biegelbauer Peter
Published: December 2024

In all OECD countries, discussions abate around the question of how to best regulate artificial intelligence (AI) to exploit the economic and social potential of this technology, while minimising risks. The article asks the question of how to govern AI and what role the state might take in it, with respect to questions of regulation and utilization of AI in its own ranks. Case studies for comparison are Austria and Australia, two democratic high-income countries with differences in geographic location, political system, and economic structure. While both countries aim for a balance of innovation, ethics, and regulation in their AI strategy, the chosen elements for obtaining this balance vary remarkably regarding structures, processes, and tools.
Identification and Analysis of Metaphorical Collocations – Procedure, Challenges in Data Collection and Results
Authors: Keglević Blažević Ana
Published: December 2024

Der vorliegende Beitrag befasst sind mit metaphorischen Kollokationen, die als Subkategorie der
Kollokation betrachtet werden. Diese zeichnen sich dadurch aus, dass eine Konstituente der Kollokation (d.h. der Kollokator) eine übertragene, metaphorische Bedeutung aufweist. In der bisherigen Kollokationsforschung wurde dieser Subkategorie jedoch wenig Aufmerksamkeit geschenkt.
Das Ziel des Forschungsprojektes1, in dessen Rahmen diese Untersuchung durchgeführt wird, ist
die nähere Betrachtung der Metaphorisierungsprozesse, die zur Entstehung der metaphorischen
Kollokationen führen. Die Extraktion der Kollokationen in der deutschen Sprache wird mithilfe
des Tool Sketch Engine und dem Korpus detenten20 durchgeführt. Eine vollautomatische Ermittlung von Kollokationen insbesondere von metaphorischen Kollokationen ist jedoch nicht möglich.
Die durch das statistische Verfahren erhaltenen Wortlisten müssen einer wiederholten manuellen Sichtung und Bearbeitung unterzogen werden. Des Weiteren wird eine semantische Analyse
durchgeführt, wobei die Bedeutungsveränderung und Umdeutung des Kollokators der ermittelten
metaphorischen Kollokation näher beleuchtet wird. Ziel dieses Beitrags ist es, die Vorgehensweise
und Herausforderungen bei der Datenerhebung zu beschreiben, sowie Ergebnisse bezogen auf den
morpho–syntaktischen und semantischen Aspekt der metaphorischen Kollokationen vorzustellen.
Lexical synesthesia in Croatian
Authors: Pišković Tatjana , Hrenović Antea
Published: December 2024

In the first part of the paper, we highlight fundamental insights into synesthesia as a neurological
phenomenon and then focus on the linguistic interpretation of synesthesia as a lexical mechanism.
In neurology synesthesia denotes a specific and rare human ability of joint perception which emerges from a congenital ability to integrate sensations. Neurologists single out five basic manifestations
of neurological synesthesia: colored sequences, colored music, affective perceptions, nonvisual couplings and spatial sequences. The main impetus for neurological synesthesia is language, but neurological synesthesia is not the cognitive source for lexical synesthesia. Neurological synesthesia is
the ability among the rare individuals to join together the sensations from various sensory domains
into one unique sensation. Lexical synesthesia is the general language mechanism which enables
the creation of secondary meanings of polysemous lexemes. We understand lexical synesthesia as
the syntagmatic connection of the words whose primary lexical meanings relate to different sensory domains, whereby one of the elements of the syntagm retains its primary meaning while the
other activates its secondary meaning and leaves its primary sensory domain. Research into lexical
synesthesia is most often based on extracting congruent syntagms of adjectives and nouns from
dictionaries and corpora of general language. On the basis of the Croatian syntagms extracted that
comprise an adjective and a noun (e.g. topao glas ‘warm voice’, hladne boje ‘cold colors’, kiseo osmijeh
‘sour smile’, sladak miris ‘sweet smell’) we isolated the types of synesthetic transfer in Croatian and
determined their frequency. Inspired by Stephen Ullmann’s insights into the dominant tendencies in the synesthetic transfers, we created hierarchy of sensory modalities for Croatian language:
TOUCH → TASTE → SMELL → SIGHT → HEARING.
Does perceived corporate social responsibility decrease organizational cynicism? A social identity perspective
Authors: Jeon Hyangsuk , Li Longzhen , Yan Dong
Published: December 2024

Policies related to corporate social responsibility (CSR) can positively impact both businesses and organizational members. However, the potential outcomes of situations where employees perceive inconsistencies between their organization's CSR and other practices remain poorly understood.
Using social identity theory, we administered 310 surveys to employees in various organizations to examine how employees' perception of CSR practices affects their organizational cynicism, incorporating the moderating effects of selfsacrificial leadership, perceived organizational justice,
and perceived organizational support. The results showed that when self-sacrificial leadership, perceived organizational justice, and perceived organizational support were high, negative perceptions of CSR intensified organizational cynicism. The findings provide a theoretical contribution
to the literature on CSR, as well as guidance for managerial practices.
Chinese college students' mental health literacy before and during the (COVID)-19 pandemic
Authors: Li Mengxia , Yuan Yuzhu , Zeng Mengchun , Xia Dongping , Yang Jiahui , Lei Xiaohan
Published: December 2024

This study investigated the changes in college students' mental health literacy before and during the COVID-19 pandemic. We administered online surveys to 2,249 college students in 2019 and 3,007 college students in 2022, and the results showed that the pandemic heightened mental health
literacy over this time. There were higher proportions of college students with high and moderate mental health literacy during the COVID-19 pandemic, while there were fewer college students with low mental health literacy. The positive change in mental health literacy varied among different
types of college students on the basis of individual factors such as age, gender, school roles, and family residential region. These findings emphasize the importance of tailored interventions and holistic approaches to mental health promotion in educational settings.
Does the quality of education impact students' psychological wellbeing? Engagement as a mediator
Authors: Jiang Zhichao , Zhang Peiran
Published: December 2024

There is growing concern regarding the psychological well-being of students in Chinese higher education institutions, yet limited research exists on the relationship between the quality of education and students' psychological wellbeing. In this study we investigated the impact of educational
quality on the psychological well-being of university students, and examined the mediating role of students' engagement. Adopting a quantitative research design, we gathered data from 358 university students in East China using a structured survey. The findings demonstrated that educational
quality had both a direct and an indirect relationship with students' psychological well-being, with the relationship mediated by student engagement. The study findings emphasize the significance of the quality of education for Chinese students, which highlights the need for educators to recognize
the importance of educational quality and its connection to students' psychological well-being.
Mobile short-video characteristics and continuous use intention among Chinese young adults
Authors: Xu Jie , Ismail Adibah Binti , Jamal Jamilah
Published: December 2024

The rapid growth and popularity of mobile short-video platforms among Chinese young adults has made it crucial to understand the factors associated with their continued use. This study integrated the stimulus–organism–response framework and the extended technology acceptance
model to investigate how the external characteristics of short videos affect users' perceived usefulness and continued use intention, incorporating user habit as a moderator. We used an online survey to collect data from 405 Chinese young adults. The results showed that recommendations and
entertainment were positively associated with continuous use intention, while interactivity was not. Perceived usefulness predicted continuous use intention, as well as mediating the relationships of recommendations, interactivity, and entertainment with continuous use intention. Furthermore,
user habit strengthened the link between perceived usefulness and continuous use intention. These findings can guide developers in enhancing short-video characteristics to boost young adults' sustained usage, while helping social and educational professionals develop interventions for healthy
and reasonable use.
Relationship between mindfulness for physical activity and aggression: Self-compassion and psychological resilience as mediators
Authors: Wen Pengfei , Zheng Yuan , Wu Jinsong , Lai Dongbin , Jia Haobo , Wang Menghua , Luo Huan
Published: December 2024

We explored the relationship between mindfulness for physical activity and aggression in college students, and analyzed the independent and chain mediating effect of self-compassion and psychological resilience. We used a questionnaire to measure mindfulness for physical activity, aggression,
selfcompassion, and psychological resilience in a sample of 994 college students. Results showed that mindfulness for physical activity significantly and negatively predicted aggression in college students, and self-compassion and psychological resilience mediated this connection. There were
three specific mediation paths: self-compassion as an independent mediator, psychological resilience as an independent mediator, and self-compassion and psychological resilience as chain mediators. These findings enrich the field of personality psychology and offer important practical guidelines
for preventing and intervening in the internalizing problems of college students.
Modelling the Hybrid Security Approach for Secure Data Exchange: A Proof of Concept
Authors: MOHAMED Nur Nabila , Yulianta SIREGAR  , Nur Arzilawati MD YUNUS  , Fazlina MOHD ALI
Published: December 2024

The importance of secure data transfer for operational efficiency is undeniable. This study explores a novel approach to securing communication protocols by combining the established Diffie-Hellman key exchange method with the popular AES encryption algorithm. A practical demonstration (Proof of Concept) showcases the effectiveness of this method in safeguarding data against unauthorized access and impersonation during transmission, particularly within the resource-efficient Trivial File Transfer Protocol (TFTP) used by devices with limited capabilities. This research proposes an innovative secure file transfer protocol that utilizes multiple cryptographic techniques to strengthen data transmission in Machine-to-Machine (M2M) communication. This enhanced security has the potential to make TFTP a reliable option for managing and upgrading low-cost embedded systems, particularly in environments susceptible to security threats.
Precise Node Authentication using Dynamic Session Key Set and Node Pattern Analysis for Malicious Node Detection in Wireless Sensor Networks
Authors: Kosaraju Chaitanya  , Gnanasekaran Dhanabalan
Published: December 2024

A Wireless Sensor Network (WSN) is a network of low-power, networked sensors that may gather data for a range of applications. These networks rely heavily on energy and security considerations that are essential to their administration. Lightweight cryptography procedures are necessary to attain high levels of security in WSNs because the conventional security approaches are inappropriate due to the restricted resources of the nodes. Topology maintenance and attack protection for individual sensor nodes is impractical. When it comes to monitoring and data collecting, WSNs are frequently used in unattended and hostile environments. Deploying sensor nodes in such an environment leaves the sensor network vulnerable to malicious node insertion since it lacks physical protection. The next step is for an attacker to use malicious nodes to perform a variety of attacks that disrupt network connectivity. In these types of attacks, the malicious node pretends to be a legitimate node by dropping packets at random to evade detection. There are a lot of systems out there for detecting malicious nodes, but only limited models can actually identify assaults. A plethora of sensors and actuators are necessary to enable the automation of modern industrial processes. Prevention of authenticity fraud and non-repudiation is crucial for building trust and identifying data errors in this network. An effective asymmetric-key-based security mechanism is proposed in this paper for distributed cooperative networks that allows all nodes, including the gateway, to establish authentication and non-repudiation with different session keys that can be used for one time usage for authentication and for data security. Assuming there are no malevolent nodes, the approach also provides anonymity and confidentiality. Authentication and non-repudiation are still intact in the event that a single node is hacked. There will be little effect even if additional nodes are compromised. Using the authentication mechanism, this main security architecture prevents incursion from external hostile nodes. This research proposes a Precise Node Authentication using Dynamic Session Key Set and Node Pattern Analysis for Malicious Node Detection (PNA-DSKS-NPA-MND) that is used for accurate node authentication and also for malicious node detection to increase the Quality of Service (QoS) levels in WSN. The proposed model when compared with the traditional models exhibits better performance in node authentication accuracy and also in detection of malicious nodes in the WSN.
REVISTA “A ESCOLA" COMO FONTE DE PESQUISA SOBRE O ENSINO DE GEOGRAFIA NAS ESCOLAS PARAENSES NA PRIMEIRA METADE DO SÉCULO XX
Authors: Vasconcelos Jessica , Odilon Rego da Rocha Genylton
Published: December 2024

O estudo que desenvolvemos teve como objeto de estudo “A Revista ‘A Escola’ como fonte de pesquisa sobre o ensino de geografia nas escolas paraenses na primeira metade do Século XX”. A revista, fonte de nossa pesquisa, constituiu-se enquanto periódico educacional, que circulou no Estado do Pará de 1900 a 1905. A investigação desenvolvida teve caráter bibliográfico e documental, cujos objetivos principais foram: o levantamento de artigos que trataram do ensino de geografia na escola secundaria paraense publicados na revista "A Escola"; identificar prescrições oficiais para o ensino de geografia que tenham sido publicadas na revista pesquisada; identificar as orientações didático-pedagógicas para o ensino da geografia contidas nos artigos levantados; analisar a concepção de geografia adotada pelos autores dos artigos levantados. Desse modo, nossos resultados demonstram o tipo de conteúdo privilegiado na disciplina escolar e os princípios que guiavam sua finalidade educativa.
Renewable energy practices towards poverty reduction in the legal and governance context
Authors: Gina Mondli , Mutambara Emmanuel
Published: December 2024

Poverty is one of the most vital issues negatively impacting livelihoods in South Africa. Central to addressing basic human needs towards poverty eradication lies the provision of renewable energy (Chen, 2024). Poverty can be addressed through access to energy sources that are modern, clean, and affordable (Lu et al., 2023). Energy is relevant for addressing fundamental human needs and is a prerequisite for economic growth. The study investigated the extent to which a move towards clean energy for poor communities contributed towards poverty reduction in an urban context. The study was carried out in two phases using a mixed-method research design. Phase 2 was a qualitative study based on information gathered from in-depth interviews, while Phase 1 was a quantitative study that included an online survey. According to the study’s findings, the adoption of renewable energy technologies in Soweto township, will contribute to a decrease in poverty, improve the socio-economic status of citizens, enhance economic growth, and save the environment. To achieve poverty reduction, the researchers concluded that, the government should provide the citizens with affordable renewable energy equipment, such as solar panels to those that are regarded as poor and provide incentives to those that install solar panels in their household.
Recenzja: Ewa Klekot, „Kłopoty ze sztuką ludową. Gust, ideologie, nowoczesność. Fundacja Terytoria Książki, Wydawnictwo słowo/obraz/terytoria, Gdańsk 2021, ss. 486.
Authors: Zowczak Magdalena
Published: December 2024

Review of a book by Ewa Klekot, „Kłopoty ze sztuką ludową. Gust, ideologie, nowoczesność. Fundacja Terytoria Książki, Wydawnictwo słowo/obraz/terytoria, Gdańsk 2021, ss. 486
O problemie etyki ekologizującej w badaniach etnograficznych. Refleksje w cieniu Antropocenu
Authors: Kozhevnikova Magdalena
Published: December 2024

Tekst jest zaproszeniem do dyskusji na temat etyki etnograficznych badan terenowych w kontekście postępujących zmian klimatycznych i nadciągającej ekologicznej katastrofy. Autorka proponuje przesunąć punkt ciężkości dotychczasowych rozważań etycznych i uczynić beneficjentami nauk społecznych również byty pozaludzkie.
Wisła nie jest kobietą. Antropologia a historia w kontekście biografii rzeki
Authors: Smyrski Łukasz
Published: December 2024

Artykuł jest propozycją poszerzenia historycznej perspektywy badań poświęconych rzekom o antropologię, która inspirowana filozofią posthumanistyczną i humanistyką błękitną, na dobre wprowadziła do badań etnograficznych wodę i inne podmioty więcej-niż-ludzkie. Wypracowała także określone podejścia do relacyjnego badania rzek, określenia sposobu w jaki relacje społeczne i hydrologiczne są ze sobą powiązane i jak wzajemnie się konstytuują. Krytycznie podchodzę do antropocentrycznych koncepcji obecnych w historii zakladających dominację ludzi nad przyrodą i opisujące relacje z rzekami w kategoriach rywalizacji. Wskazuję, że w opracowaniach historycznych rzeka jest traktowana przez pryzmat pełnionych funkcji dla ludzi oraz użyteczności, jako forma transportu lub zasób.  Wskazuję, że podejście interdyscyplinarne jest niezbędne przy badaniach związanych z przyrodą, inspirujące i poszerzające granice epistemologicznego poznania
Etnoznawcy.pl. Największy ogólnopolski projekt antropologicznego portalu biograficznego
Authors: Ceklarz Katarzyna , Koźmińska Joanna
Published: December 2024

Podsumowanie projektu bibliograficznego portalu wiedzy: Etnoznawcy. pl.
Kritisk danning som eksistensiell danning
Authors: Rinholm Hanne , Varkøy Øivind
Published: December 2024

The chapter highlights a nearly forgotten dimension of critical Bildung – known as existential Bildung – by revisiting different older and newer theoretical concepts. These are Bollnow’s pedagogy of ‘the encounter,’ Biesta’s concept of ‘existential education,’ Adorno’s ideas about the social-critical function of art through encounters with ‘the completely Other’ in art, and Rosa’s theory of ‘resonance.’ The juxtaposition and rethinking of these different and partly contradictory sources into a concept of critical Bildung as existential Bildung constitutes the original approach of the chapter. With ideas from curriculum texts and the Bildung Committee’s (‘Dannelsesutvalgets’) final report as a point of departure, the article explores the idea that transformative aesthetic experiences through encounters with artistic expressions can contribute to students’ and pupils’ critical Bildung by challenging and expanding their self-understanding. Such experiences can lead to deeper self-reflection and, in turn, to social criticism. Together, these perspectives illuminate how the concept of existential Bildung, deeply rooted in music and other art forms, serves as an essential source for the development of reflective and well-considered individuals. Existential Bildung is a process where education is not only about cultivation, but also about encouraging individual self-realization and responsibility by responding to the call to become oneself.
Att skapa estetiska rum för holistisk bildning – att kultivera professionellt omdöme bland blivande lärare i estetiska ämnen
Authors: Almqvist Cecilia Ferm
Published: December 2024

This chapter contributes to the theme of the book Bildung and Critique in Teacher Training with a perspective of cultivating student teachers’ resources and competencies in arts education, aiming to prepare them for a complex teaching reality. The starting point is a holistic Bildung concept where essential and existential Bildung constitutes interwoven parts of a relational field of tension. The motive for accentuating Bildung in these specific teacher education programs is the need for a critical view on challenges as well as on possibilities when it comes to Bildung in relation to artistic expressions. This is partly a question of taking possibilities for Bildung in relation to arts expressions into account, and partly a question of acting in responsible ways when offering arts-inspired experiences and encouraging reflection upon them, all in relation to the future profession. The aim of the chapter is to explore how aesthetic spaces of holistic Bildung can be created within teacher training, in ways that offer student teachers the chance to create such spaces for students in their future teaching practice. To fulfil the aim the concept of holistic Bildung is discussed in relation to the cultivation of professional judgement among student teachers specializing in visual arts, dance, music, sloyd, and theatre. The philosophical reasoning is primarily based on Merleau-Ponty’s and Arendt’s phenomenological thinking.
Hvordan tolker norsklærere språkhistoria i læreplanen?
Authors: Stykket Evy Beate , Vindenes Urd
Published: December 2024

This chapter explores how Norwegian teachers interpret and operationalize the curriculum when it comes to the history of language. Important questions in the chapters include: Which aspects of language history are emphasized? Which teaching methods are used? How do teachers define language history? The authors conducted a survey of teachers in secondary and upper secondary schools, and the results show that the majority prioritize recent developments in written language, particularly the language history of the 19th century, with an emphasis on the historical context of language policies and reforms. The survey also revealed that a significant number of teachers feel competent to teach language history. In exploring the interpretation and operationalization of language historical themes in the Norwegian curriculum, this study also highlights the need for further discussion and research on language history didactics, as well as dialogue on what ought to be included in the language history curriculum.
Språkspor på Bryggen. Lingvistiske landskap og lingvistiske palimpsestar
Authors: Budal Ingvil Brügger
Published: December 2024

This chapter explores the linguistic landscapes of Bryggen, a historic trading site in Bergen, Norway, and how these landscapes can be used in a didactic setting. The author presents the concept of “language traces” and introduces the metaphor of “linguistic palimpsests” to capture the complexity of this linguistic heritage. The study focuses on both the synchronic visible language traces in this area and the diachronic layers that are not immediately visible but can be uncovered through exploration.

The chapter examines both the use of different writing systems and the representation of multiple languages and linguistic diversity. The study also delves into the significance of place and normative language practices, using street names and naming conventions to discuss cultural and historical aspects. Overall, this chapter highlights the importance of language in shaping cultural and historical heritage, using Bryggen as an example, and emphasizes the multi-layered nature of language traces in linguistic landscapes.
The Impact of Using Audio-Visual Interactive Media in Learning Mathematics
Authors: Setiawati Linda Mardiani , Mahsup  , Abdillah  , Syaharuddin
Published: December 2024

In the process of learning mathematics, there are various problems, including student background, learning interest, motivation, and attitude. Based on this, this study aims to examine the effect of using audio-visual interactive media on understanding the concept of mathematics learning. The type of research used is Meta-analysis research. The research subjects are at the elementary, junior high, and high school levels. The data source is the results of previous research relevant to the research topic that meets the criteria of inclusion and exclusion. From Google Scholar, DOAJ, and Scopus indexers. The research flow are determining the research topic; developing and validating the review protocol; searching for literature; analysis; drawing conclusions; and the last stage of reporting the results. The search results found 47 eligible data with the number of students (N), F-count value, t-count value, and r-count value. The data were analyzed using JASP software by inputting the Effect Size (ES) and Standard Error (SE) values. The results of the analysis of the moderator variable test of audio-visual media-based learning for students with a P-regression value of -1.041 are greater than 0.298, meaning that the Ha Accepted hypothesis and the summary effect value are 70% with a high category. There are also the results of data analysis obtained from JASP software simulations showing a significant effect on mathematics learning media, one of which is based on Adobe Flash media at the high school level based on the results of the summary effect of 85% with a high category.
Overcoming Self-Efficacy Challenges in Teachers and Prospective Teachers: Key Factors and Solutions
Authors: Menno Ayu Windy Malisa , Simanjuntak Yanni Irma Waty , Linda Desma
Published: December 2024

Self-efficacy relates to teachers' belief in their ability to carry out successful instruction and influences teachers to carry out their roles in learning. This literature review aims to explore the factors that influence teachers' and prospective teachers' self-efficacy, explore the challenges faced, and present solutions that may assist in enhancing self-efficacy. The method used is a literature review which includes planning, conducting, and reporting stages. 31 articles were used in this literature review obtained by searching and collecting in Scopus, Google Scholar, and ERIC databases, and through screening and selection based on inclusion criteria. Based on the results of the literature review, the factors that influence and pose challenges to the self-efficacy of teachers and prospective teachers are factors of practice and mastery of competencies, factors of differences in environment, culture, and student needs, factors of school organizational conditions and learning environments, and factors of pressure experienced by teachers and prospective teachers. The solutions to the self-efficacy challenges found include the implementation of education, training, and development programs, a good and collaborative school organization and environment, induction and mentoring programs, and attention to teacher welfare, counseling, and stress management. Collaboration between the government, educational institutions, schools, and communities is needed to develop the self-efficacy of teachers and prospective teachers and enhance the quality of education through supportive policies, a comprehensive curriculum, and a conducive learning environment.
A Scoping Literature Review about Impact of Lesson Study on Teacher Pedagogy: Effective Solutions in Learning Practices
Authors: Aryanti  , Hikamudin Eviana , Muryanto Rusdiono , Peniasiania Dian , Heryani Rina
Published: December 2024

Lesson Study has been recognized as an effective solution in teachers' pedagogical development, focusing on collaboration, reflection, and continuous improvement in teaching practices. Meanwhile, teacher pedagogy is a crucial element in the learning process that directly impacts student achievement or learning outcomes. Through a scoping literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach, this research aims to explores the impact of Lesson Study on teacher pedagogy, identifying its impacts, challenges faced, and opportunities that exist in the last decade for future research and educational practice. Article data were obtained from the Scopus (n=117) and ERIC (n=7) databases, then through a screening and eligibility process, 16 articles were selected for further analysis. This Scoping Literature Review focuses on the trends in Lesson Study research, factors influencing teacher pedagogy through Lesson Study, and its effects on student achievement. The literature results show that the United Kingdom is dominant in applying Lesson Study, high school-level implementation is prevalent, and mathematics is the main subject area. Furthermore, two main categories of factors influencing teacher pedagogy through Lesson Study were identified: Collaborative Strategies and Strategic Planning. Further findings reveal that Lesson Study not only enhances students' conceptual understanding and learning outcomes but also boosts their confidence and mathematical thinking abilities. The conclusion of this research affirms the critical role of Lesson Study in the professional development of teachers, promoting significant collaboration and strategic planning to improve the overall quality of education.
Child Protection Management in School: Case Study of School Dropouts in North Sulawesi, Indonesia
Authors: Umbase Ruth Sriana , Sanjaya Dewa Bagus , Mesra Romi , Kalalo Griszelda E.
Published: December 2024

The case of children dropping out of school has become a public concern. Schools are considered less concerned about children's rights. On the other hand, there are still some schools that think that the implementation of the Child Protection Law has increased the workload in schools. However, protecting children's rights in schools creates obligations for educators and education staff. Educators must fulfill children's rights through learning activities and handling children who have problems in the classroom. This research aims to analyze child protection management in schools. The research method used is a case study. The research results show that school child protection management cannot be realized optimally. Educators can carry out learning activities, but handling problematic children must be done more professionally. The school still needs an integrated child protection policy and management document. Child protection in schools is partial - it focuses on fulfilling children's rights to learn according to the Learning Plan. Therefore, the government, society, and the business world must work together to build child-friendly schools, train educators to have managerial skills in protecting children's rights, and handle problematic children to prevent children from dropping out of school and experiencing worse impacts.
A INFLUÊNCIA DA REMUNERAÇÃO ESTRATÉGICA NA RETENÇÃO DE TALENTOS: ESTUDO DE CASO EM UMA COMPANHIA DE PRESTAÇÃO DE SERVIÇOS CONTÁBEIS
Authors: Santos Fátima Nacimy Cavalcante dos , Maduro Márcia Ribeiro , Lima Orlem Pinheiro de , Filho Wlademir Leite Correia , Teixeira Elton Pereira , Bittencourt Maryângela Aguiar
Published: December 2024

O artigo investiga a influência da remuneração estratégica na retenção de talentos, com base em um estudo de caso realizado em uma companhia de serviços contábeis. O objetivo é analisar a percepção dos colaboradores sobre os componentes da remuneração estratégica e sua relação com a intenção de permanência na companhia. A pesquisa avalia fatores como salário, benefícios, incentivos, reconhecimento e desenvolvimento profissional. A metodologia utilizada foi de natureza básica, de caráter descritivo, utilizando procedimentos bibliográficos e estudo de caso. O objeto de estudo fora uma amostra com 12 respondentes, escolhidos de forma não probabilística, questionários foram aplicados como instrumento de coleta de dados, e os resultados foram analisados estatisticamente. Os resultados indicam que benefícios financeiros ou não, como plano de carreira e flexibilidade, são altamente valorizados pelos colaboradores, enquanto a percepção de injustiça salarial e falta de reconhecimento geram insatisfação. A remuneração estratégica é essencial para atrair e reter talentos, especialmente em setores competitivos, mas deve ser acompanhada de práticas que promovam justiça, alinhamento de expectativas e desenvolvimento profissional. Estudos futuros podem explorar contextos e estratégias inovadoras.
High-Fidelity RANS CFD Simulations of Physico-Chemical Process of Combustion in Gas Turbine Combustion Chambers in ANSYS CFX
Authors:   National Aerospace University “Kharkiv Aviation Institute”, Hajivand Masoud
Published: December 2024

This study examines the validation and precision of essential parameters, including temperature distribution and nitrogen oxide (NOx) emissions, at the outlet of a gas turbine combustion chamber through high-fidelity Reynolds-Averaged Navier-Stokes (RANS) CFD simulations. The propane(C3H8)-air combustion process is modeled in ANSYS CFX utilizing three various turbulence models, including standard k-ε, RNG k-ε, and shear stress transport (SST), beside various combustion models such as the Eddy Dissipation Model (EDM), a hybrid of Eddy Dissipation and Finite Rate Chemistry (EDM/FRC), and the Flamelet model, including the P-1 model of radiation. A thorough sensitivity analysis was performed utilizing fine, medium, and coarse unstructured computational meshes to improve the reliability and accuracy of the results. The obtained CFD results showed that for outlet temperature, the standard k-ε turbulence model coupled with the Flamelet combustion model yields a mean deviation of -6.8%, while k-ε coupled with EDM yields a mean deviation of -9.9%. It also gave the lowest deviation of NOx emissions at combustor outlet equal to 2.3% when EDM/FRC combustion model was used in tandem with SST turbulence model. While the same combustion model coupled with the standard k-ε and RNG k-ε turbulence models exhibited a higher mean deviation of 13.6% and 15.4%, respectively, in predicting NOx emissions.
Methodology for Developing an Automated Adaptive System for Measuring Fluid Volume based on Gas Meter
Authors:   Lviv Polytechnic National University, Matiko Fedir , Pistun Oleh
Published: December 2024

The paper analyses the dependencies for estimating the uncertainty of the gas volume under base conditions measured with application of an automated system based on a gas meter and volume corrector. The authors propose using the absolute uncertainty of the gas volume for a certain time period as an indicator of the measurement system's accuracy. In order to calculate this uncertainty the dependencies of the gas meter error on the gas flow rate through the meter have been developed based on the statistical processing of the results of the metrological verification of gas meters for industrial rotary and turbine gas meters. Correcting the measured gas volume under operating conditions, with taking into account the unexcluded systematic error calculated according to the developed dependencies, will ensure the adaptation of the measuring system to the application conditions and the flow rate changes in the measuring pipeline. A methodology for development of automated adaptive systems for measuring the gas volume has been created on the basis of the adaptive algorithm for correcting the measured gas volume under operating conditions, the analytical dependencies for calculating the absolute uncertainty of the measured gas volume under base conditions during a certain time period, and the analytical dependencies for monitoring the variation of the main error of the gas meter.
Artificial Intelligence in Logistics: Opportunities and Challenges
Authors:   Lviv Polytechnic National University, Burov Yevhen , Kuliavets Andrii ,   Lviv Polytechnic National University
Published: December 2024

The integration of artificial intelligence into the logistics industry is a rapidly evolving field with the potential to revolutionize the way goods are transported and managed. Artificial intelligence can be used to optimize a wide range of logistics processes, from demand forecasting and route planning to warehouse management and customer service. However, the integration of artificial intelligence also raises a number of technical and ethical issues that need to be addressed to ensure its successful implementation.
Choosing the right artificial intelligence algorithms for specific logistics tasks is crucial to ensure their efficiency and accuracy. This requires careful consideration of factors such as data type, task complexity, and desired performance metrics.
The growing amount of data collected and processed by artificial intelligence systems raises concerns about data security and privacy. Companies need to implement robust security measures to protect sensitive data from unauthorized access, breaches, and misuse.
The use of artificial intelligence in logistics raises ethical issues related to bias, transparency, and accountability. Artificial intelligence algorithms should be developed and used fairly, transparently, and with respect for the right to privacy and in compliance with all relevant laws and regulations.
In order to eliminate or prevent these problems, recommendations for the effective implementation of artificial intelligence in the logistics sector have been developed and formulated. They include aspects that need to be addressed in the first place when developing mechanisms for automating logistics processes.
The integration of artificial intelligence into logistics offers significant opportunities to increase efficiency, reduce costs and improve customer service. However, it is crucial to address the technical and ethical challenges associated with artificial intelligence integration to ensure that it is used responsibly and beneficially. By following the recommendations, logistics companies can successfully use artificial intelligence to transform their operations and achieve their strategic goals.