bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-Regulated Learning Skills in Vocational Students Based on Their Self-Evaluation
Authors: Sirk Meidi 
Published: January 2025

Context: The importance of both self-regulated and self-directed learners has been emphasised in lifelong learning. However, in theory, self-regulated learning (SRL) serves as a basis for becoming a self-directed learner. Therefore, SRL (which includes certain skills) needs to be developed in vocational education and training alongside specialist training in order to meet the demands of the labour market, where employees should be capable of continuous learning. Previous studies based on the experiences of vocational teachers, and mainly focusing on adolescent students, have highlighted that many vocational students have low levels of SRL skills. However, there is a lack of research exploring student perspectives on their own SRL skills. It is unclear what factors influence their SRL and what support they need for developing SRL. The aim of this article is to analyse and describe the differences in the SRL skills of vocational students based on their self-evaluation and the factors related to their SRL.
Methods: The author conducted diverse quantitative analyses of the responses of 244 students to achieve the research aim. First, a factor analysis was performed on the five skill areas of SRL, followed by a K-means cluster analysis based on SRL skills factors. Then SRL clusters of students were analysed according to the students' socio-demographic factors, learning difficulties, and other learning factors using cross-tabulation and variance analysis.
Findings: From an SRL perspective, the most important factors in distinguishing and characterising the clusters of students were the skills related to plan management and organisation. On this basis, the study identified three clusters, consisting of students with: 1) Difficulties in organisation and behaviour (30%), 2) difficulties in planning and time management (20%), and 3) good and balanced SRL skills (50%).
Conclusion: Overall, the study found that half of the students exhibited good SRL skills and these students encountered fewer learning difficulties. They also studied more through collaborative learning activities, received sufficient verbal feedback, and showed higher levels of motivation towards their schoolwork. However, the remaining students require additional support to improve their SRL skills.
Realizing Decent Work in a "Sandwich" Position: Assessing VET Trainers' Working Conditions in Times of Multiple Transformations
Authors: Nicklich Manuel , Blank Marco , Pfeiffer Sabine 
Published: January 2025

Context: The German vocational training and education (VET) system is designed to cope with change. Within this system, organizational VET trainers (OVETT) are the main persons of reference for apprentices in the organization, in most cases for the whole three-year training period. Whether training can help to realize or maintain decent work also depends on whether the trainers themselves have decent working conditions.
Approach: The empirical foundation for our analysis of the situation of OVETTs and the challenges they face in transformative times is a recently conducted study. Using a mixed-methods research design, consisting of 28 qualitative interviews and an online survey completed by 1,004 organizational VET trainers, this study analyzes the working conditions of German VET trainers and assesses possible effects on decent work.
Findings: We show that although there is a willingness on the part of OVETTs to handle change and transformation, they are not sufficiently involved in their companies' strategic decisions. Our data shows that some OVETTs perceive themselves as being in a potentially influential position. Many, however, report that they are only the object of change instead of participating and contributing their competencies and opinions. The data shows the extent to which the work of vocational trainers is affected by stress, conflicting demands and a lack of support. This is particularly true for part-time trainers who, in addition to their normal work, are also responsible for the success of the apprentices and the entire VET system. However, the high intrinsic motivation of trainers enables them to fulfil their tasks and meet the high expectations placed on them.
Conclusions: A special aspect of this is the "sandwich" position of OVETTs, who face transformative, societal demands, and challenges from both below (i.e., from the apprentices) and above (i.e., from management). At the same time, there is a lack of structural and operational resources. Organizational changes expose them more directly to certain challenges, but do not give them a chance to help shape their own conditions. Although the VET trainers are accustomed to mastering different requirements and interests, in transformative times new challenges arise and intensify the already heavy burden on VET personnel. If these are not addressed and VET work is not organized as decent, this will also jeopardize the quality of the vocational training system in the medium term.
Pembuatan E-Modul Autodesk Revit Kelas Xi Desain Pemodelan dan Informasi Bangunan SMK Negeri 3 Semarang
Authors: Mustofa Asysyafa , Widodo Aris , Sucipto  
Published: January 2025

Materi autodesk revit merupakan salah satu materi yang diajarkan pada elemen pembelajaran Building Information Modelling (BIM) di SMK Negeri 3 Semarang. Tetapi dikarenakan tidak adanya media pembelajaran untuk siswa sehingga menyebabkan kendala selama kegiatan pembelajaran. Oleh karena itu perlu dibuatnya media pembelajaran yang dapat mempermudah siswa dalam mempelajari materi autodesk revit. Tujuan penelitian yaitu : (1) Mengetahui kelayakan media pembelajaran modul Autodesk Revit pada elemen pembelajaran Building Information Modelling (BIM) sebagai penunjang kegiatan pembelajaran menurut ahli materi dan ahli media. (2) Mengetahui pendapat siswa terhadap media pembelajaran modul Autodesk Revit pada elemen pembelajaran Building Information Modelling (BIM) sebagai penunjang kegiatan pembelajaran siswa. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kuantitatif. Populasi penelitian ini adalah siswa kelas XI yang telah/sedang mengikuti elemen pembelajaran Building Information Modelling (BIM) di SMK Negeri 3 Semarang dengan sampel sebanyak 36 responden. Teknik pengumpulan data menggunakan metode angket/kuesioner. Hasil penelitian menunjukkan bahwa: (1) Modul autodesk revit dari ahli materi mendapatkan persentase sebesar 97% dengan kategori sangat layak dan dari ahli media mendapatkan persentase sebesar 97% dengan kategori sangat layak layak. (2) Respon kepuasan siswa terhadap modul autodesk revit mendapat persentase sebesar 91,08% dengan kategori sangat layak, maka dapat disimpulkan bahwa modul autodesk revit diterima oleh siswa dan dapat digunakan sebagai penunjang kegiatan pembelajaran.
Transformações socioeconômicas desencadeadas pelo turismo em Icapuí
Authors: Vasconcelos Jorge Luis , Almeida Antonio Cavalcante de , Coelho Susana Dantas , Lima Júlio César Ferreira , Comaru Lucas Fernandes 
Published: January 2025

El turismo puede tener impactos significativos, positivos o negativos, en distintas áreas geográficas, según su desarrollo e integración en una comunidad específica. Este estudio buscó analizar los efectos socioeconómicos del turismo en Icapuí, Ceará, basándose en la percepción local. Los objetivos incluyeron caracterizar la situación socioeconómica de los nativos, identificar cambios en la infraestructura tras el turismo, evaluar la evolución de actividades ocupacionales y profesionales, y analizar los impactos en la vida de los participantes. La investigación empleó un enfoque exploratorio y cualitativo, con revisión bibliográfica, investigación de campo y análisis de datos. Se encontró que la población percibe tanto impactos positivos como negativos del turismo en Icapuí. Los positivos abarcaban todas las dimensiones estudiadas, mientras que los negativos se centraban en lo ambiental y lo social. Es relevante notar que el desarrollo turístico en la región es reciente, lo que sugiere que los impactos negativos podrían no ser completamente evidentes a gran escala.
LD de Geografia e Sustentabilidade
Authors: De Vasconcelos Marcela Vitória , Dutra Gomes Rodrigo , Barbosa Almeida Maria do Socorro 
Published: January 2025

O Livro Didático (LD) de Geografia é uma importante ferramenta de apoio no processo de ensino aprendizagem e está sempre presente em sala de aula, sendo indispensável em diversos momentos. É nesse sentido que propor uma abordagem do LD pautada nos pressupostos da teoria da complexidade, entende-se, poderia favorecer, de forma significativa, a compreensão de um espaço geográfico interligado, conectado e, também, incerto, mas do qual se faz parte e que se pode transformar. Desta forma, o objetivo geral deste trabalho é refletir sobre a disposição dos conteúdos programáticos nos livros didáticos de Geografia sobre sustentabilidade. A discussão será feita com base em levantamentos bibliográficos e a análise de uma coleção aprovada pelo PNLD para o período de 2020 a 2023, do 6º ao 9ºano. A análise dos livros de geografia verificou que os conteúdos ainda são apresentados de forma fragmentada e muitas vezes incipiente. Com base nos dados obtidos, discute-se a necessidade de formular obras que se pautem na teoria da complexidade e em suas visões dialógica, hologramática e recursiva.
A Survey Development for Human Resources Management Professionals Encompassing Awareness, Assistive Technology Knowledge, and Workplace Accommodations
Authors: VanderMolen Julia K. , Ward-Sutton Courtney 
Published: January 2025

Background:An employer’s attitude is essential in the workplace. It is often associated with hiring behaviors, in addition to their required awareness and knowledge of providing reasonable assistive technology (AT) and workplace accommodations (WA) for persons with disabilities (PwDs).Objective:The study aimed to draw out knowledge and feedback from hiring managers, human resources management professionals, and recruitment specialists for PwDs, in addition to assessing the awareness and knowledge of AT and WA (AT-WA).Methods:Researchers conducted a focus group to gain an insight for developing a survey that assesses the awareness and knowledge of AT-WA’s best practices used by hiring managers and human resources management professionals for employing PwDs.Findings and Conclusions:Results from the focus group participants were all in agreeance that training improvements are needed to help diversify the workforce for PwDs.
Assessing the impact of a pumped-storage power station on the normal operation of the Mongolian power system
Authors: Sidikov S. N. , Rusina A. G. , Osgonbaatar T. , Arestova А. Yu. , Burentsagaan B. 
Published: January 2025

The paper is aimed at assessing the impact of integrating pumped-storage power stations on the steady-state operation of the Mongolian central power system, as well as its operational reliability, in the context of growing power consumption and the increasing share of renewable energy sources. The study was conducted employing the machine learning method (specifically, ensemble models and statistical ranking models) to build a model of the daily load curve, as well as the power generation of wind and solar power plants. The computations were performed using the Pandapower software, which provided a means to take into account the actual technical characteristics of power grid equipment, analyze normal conditions, and optimize the operating conditions. The modeling results indicate that the integration of four pumped-storage power stations with a total capacity of 250 MW significantly smoothes out the irregularity of the daily output curve of thermal power plants. The irregularity factor indicating the minimum-to-maximum daily load ratio increased from 0.8 to 0.96. An analysis of operating conditions did not reveal overloading of backbone transmission lines or unacceptable node voltage deviation. The total power losses in the central energy system of Mongolia were shown to increase insignificantly with the integration of pumped-storage power stations amounting to 5.54% (5.36% without taking them into account). This fact confirms that the redistribution of significant amounts of power associated with the growing share of renewable energy sources in the Mongolian power system requires a thorough analysis of the technical status of equipment and an increase in transmission line capacity. Thus, the integration of pumped-storage power stations by 2030 will make the control of the Mongolian central power system more flexible. This will increase domestic power generation, reduce ohmic losses in the grid, decrease the volume of power imports from Russia, lower the risks of outages in the central region of Mongolia, and effectively solve the power shortage problem.
Physical simulation of separating two immiscible liquids in the “Pobeda” smelting unit with localized melt sparging by means of side and basal tuyeres
Authors: Bulatov K. V. , Zhukov V. P. , Menshchikov V. A. , Bratygin E. V. 
Published: January 2025

The paper aims to find physicochemical patterns in the separation of liquid smelting products with the melt blasted by side and basal tuyeres installed in the area of a “Pobeda” smelting unit intended for charging and melting copper-containing charge. The study adopted the physical simulation method with the use of transparent media (vegetable oil and colored water) and a glass cuvette. The dynamic similarity between the sample and model was ensured by the constancy of the Archimedes number Ar. The initial ratio between the levels of less and more dense fluids was chosen according to the Weber number We. The Archimedes numbers per one side and one basal tuyere amounted to 5;3 and 12;6 (Variants 1 and 2, respectively). The completeness of phase separation was determined visually through filming the liquid-liquid interface emergence and the settlement front advance, as well as quantitatively via the sampling method with subsequent separation of water and oil through centrifugation. According to the condition Ar = idem, the blasting parameters were determined for the cold model with the installation of six basal and three side tuyeres, which were assumed to be located in the sparging zone of the melt. The phase separation patterns are shown to depend on the duration and intensity of the blast. Under Variant 1, blasting is characterized by the formation of a constant phase immiscibility profile at the end of the experiment, which occurs in a limited area of the settlement zone that is far from the sparging zone. At higher Archimedes numbers (Variant 2), the melt pool acquires a homogeneous structure in a shorter time, and no immiscibility boundaries are observed along the entire length of the melt. Thus, a cold modeling technique was developed to study the patterns of phase separation in the presence of a separate sparging zone in the melt pool. This provides a means to obtain objective parameters for the location of tuyeres and blasting conditions, thus ensuring a reduction in the mechanical losses of copper with slag at a given smelting capacity in the “Pobeda” unit.
Development of a technology for setting a high-amperage electrolytic cell for electrical preheating using fusible links
Authors: Radionov E. Yu. 
Published: January 2025

The paper aims to develop and test a design procedure for setting an electrolytic cell for electrical preheating without current interruption in a series of electrolysis units using aluminum fusible links. For the analysis of a complex electrical circuit, the circuit conversion technique, a direct application of Kirchhoff’s circuit laws, was used. The obtained patterns were identified and determined using graphical and analytical methods. Mathematical modeling was performed by means of approved programs. A design procedure was developed for setting an electrolytic cell for electrical preheating without current interruption in the series of electrolysis units. The computations (mathematical modeling) were performed for two startup variants: without current load interruption in the series of electrolysis units and with the lowering of current load in the series (to 250 kA). Pilot startup tests of two high-amperage electrolytic cells were performed without current interruption in the series of electrolysis units, i.e., at an operating current of 330 kA, as well as the startup of one electrolytic cell with the current load lowered to 250 kA. The study results indicate that the developed method allows a high-amperage electrolytic cell to be set for electrical preheating with the use of fusible links without interrupting the current load or with its lowering in the series of electrolysis units. Successful pilot tests of three high-amperage electrolytic cells operating at a current strength of 330 kA provide a means to extrapolate this preheating method to other high-amperage electrolytic cells operating at current strengths of 400 and 550 kA.
A Health Professional Mentorship Platform to Improve Equitable Access to Abortion: Development, Usability, and Content Evaluation
Authors: Abdulai Abdul-Fatawu , Duong Cam , Stroulia Eleni , Czerniak Efrat , Chiu Rachel , Mehta Aashay , Koike Ken , Norman Wendy V 
Published: January 2025

Abstract

Background
Access to safe abortion care is a reproductive right for all individuals across Canada. Underserved populations are overrepresented among those with unintended pregnancies and particularly those seeking abortion. Yet, few resources exist to help health care and allied helping professionals provide culturally competent and gender-affirming abortion care to such a population group.

Objective
This project aimed to redesign and adapt an existing subscription-based medication abortion mentorship platform into a culturally appropriate and gender-affirming open-access website of curated health professional resources to promote equitable, accessible, high-quality abortion care, particularly for underserved populations.

Methods
We drew on a user-centered design framework to redesign the web platform in 5 iterative phases. Health care and allied helping professionals were engaged in each stage of the development process including the initial design of the platform, curation of the resources, review of the content, and evaluation of the wireframes and the end product.

Results
This project resulted in an open-access bilingual (English and French) web-based platform containing comprehensive information and resources on abortion care for health care providers (physicians, nurse practitioners, and pharmacists) and allied helping professionals (midwives, medical officers, community workers, and social workers). The website incorporated information on clinical, logistical, and administrative guidance, including culturally competent and gender-affirming toolkits that could equip health care professionals with the requisite knowledge to provide abortion care for underserved populations.

Conclusions
This platform contains resources that can increase the competencies of health care professionals to initiate and sustain culturally and contextually appropriate abortion care for underserved groups while clarifying myths and misconceptions that often militate against initiating abortion. Our resource also has the potential to support equitable access to high-quality abortion care, particularly for those among underserved populations who may have the greatest unmet need for abortion services yet face the greatest barriers to accessing care.
An Explainable AI Application (AF’fective) to Support Monitoring of Patients With Atrial Fibrillation After Catheter Ablation: Qualitative Focus Group, Design Session, and Interview Study
Authors: She Wan Jou , Siriaraya Panote , Iwakoshi Hibiki , Kuwahara Noriaki , Senoo Keitaro 
Published: January 2025

Background
The opaque nature of artificial intelligence (AI) algorithms has led to distrust in medical contexts, particularly in the treatment and monitoring of atrial fibrillation. Although previous studies in explainable AI have demonstrated potential to address this issue, they often focus solely on electrocardiography graphs and lack real-world field insights.

Objective
We addressed this gap by incorporating standardized clinical interpretation of electrocardiography graphs into the system and collaborating with cardiologists to co-design and evaluate this approach using real-world patient cases and data.

Methods
We conducted a 3-stage iterative design process with 23 cardiologists to co-design, evaluate, and pilot an explainable AI application. In the first stage, we identified 4 physician personas and 7 explainability strategies, which were reviewed in the second stage. A total of 4 strategies were deemed highly effective and feasible for pilot deployment. On the basis of these strategies, we developed a progressive web application and tested it with cardiologists in the third stage.

Results
The final progressive web application prototype received above-average user experience evaluations and effectively motivated physicians to adopt it owing to its ease of use, reliable information, and explainable functionality. In addition, we gathered in-depth field insights from cardiologists who used the system in clinical contexts.

Conclusions
Our study identified effective explainability strategies, emphasized the importance of curating actionable features and setting accurate expectations, and suggested that many of these insights could apply to other disease care contexts, paving the way for future real-world clinical evaluations.
Brain Glial Cell Tumor Classification through Ensemble Deep Learning with APCGAN Augmentation
Authors: T. Deepa  , Ch. D. V Subba Rao  
Published: January 2025

Classification of brain tumor plays a vital role in medical imaging for accurate diagnosis, treatment, and monitoring. Deep learning approaches have gained significant traction in this industry because of their ability to extract relevant features from medical images. The research suggests employing an ensemble classifier with a weighted voting mechanism to categorize glial cell brain malignancies such as Astrocytoma, Glioblastoma multiforme, Oligodendroglioma, and Ependymoma. The proposed ensemble technique employs three main classifiers: Convolutional Neural Network (CNN), Deep Convolutional Long Short Term Memory (C-LSTM), and Deep Convolutional Neural Network + Conditional Random Fields (DCNN+CRF). Deep learning algorithms require a huge amount of input data to avoid overfitting. The Adaptive Progressive Convolutional Generative Adversarial Networks (APCGANs) are used to produce realistic artificial images to efficiently train the proposed methodology. Overall, the proposed ensemble method with weighted voting strategy consistently outperforms the other tested algorithms (CNN, C-LSTM, and DCNN+CRF). Ensemble method attained an accuracy of 99.4 %, recall - 99.1%, precision- 98.0%, and F1-score of 99.2%. Ensemble method consistently demonstrates superior performance in accurately classifying brain tumors, making it a promising algorithm for brain tumor analysis tasks.