bluuebunny/crossref_metadata_2025 huggingface dataset:
MSMEs Resilience During Post-Pandemic through Business Digitalization Mediated by Competitive Advantage
Authors: Pambreni Yuni , Ayu Sudari Suci
Published: February 2025

During post-covid-19 pandemic, MSMEs in Indonesia are experiencing difficult times. Based on a BI survey, as many as 87.5% of MSMEs experienced a decline in sales, and the remaining 12.5% were not affected and tended to experience an increase because they were able to be resilient and adapt by digitalizing their business. In facing digital transformation, MSMEs often encounter 3 main challenges, including low technological knowledge, difficulty finding suitable digital platforms, and not being able to determine the right digital marketing strategy. This research aims to analyze the mediation of competitive ability on business digitalization as an effort to increase the resilience of Sukmajaya MSMEs after the Covid-19 pandemic. The analysis method used is path analysis. Business digitalization as an independent variable with indicators namely cost, incentive program, site design, and interactive. Competitive advantage as an intervening/mediating variable with indicators including, business networks, innovation, differentiation. Then, the dependent variable is MSME resilience with measurement indicators, namely problem solving and toughness. The unit of analysis in this research is MSMEs in Sukmajaya, Depok. Primary data was obtained using a questionnaire research instrument with 90 MSME respondents, and processed using SPSS. Research results show the influence of business digitalization on the competitive advantage and resilience of MSMEs in Sukmajaya, Depok. MSMEs in Sukmajaya can achieve MSMEs resilience by optimizing business digitalization and increasing its competitive advantage during the post-covid 19 pandemic period and after.
Analysis of Maqsud tahqiqi al-adl in Multi-Level Marketing transactions from Ibn Taimiyyah's perspective
Authors: Kamaluddin Imam , Nurafni Fina
Published: February 2025

This study aims to analyze the extent of the application of maqsud tahqiqi al-'adl in multi-level marketing (MLM) transactions. This is very important to do a review by analyzing more deeply from the aspect of the halal system, model, and products traded. That is because people consider MLM transactions very promising to get large profits through relatively small capital. However, DSN-MUI has issued fatwa No. 75/DSN MUI/VII 2009: 75/DSN MUI/VII 2009 on the halalness of Sharia Multi-Level Marketing (MLMS). But in practice, there is still a money game in giving bonuses that do not meet sharia principles. This research is library research using qualitative methods sourced from secondary data obtained by collecting information from various kinds of literature. The analysis technique used in this research is descriptive-analytical. This research seeks to provide a comprehensive and in-depth understanding of the MLM business and is analyzed with maqasid sharia Ibn Taymiyyah. The results showed that sharia MLM is a legitimate transaction because it does not contradict the arguments and is by the sale and purchase contract if practiced by the conditions in DSN Fatwa No. 75/dsn mui/vi: 75/DSN MUI/VII 2009. The system adopted by MLMS in the way of donation is by one of Ibn Taymiyyah's maqasid, namely Maqsud tahqiqi al-adl, which states
SOME PROBABILITY THEORY-BASED INEQUALITIES FOR THE INCOMPLETE GAMMA FUNCTION
Authors:   Department of Mathematics, University of Nebraska at Omaha, Omaha, Nebraska 68182, USA, FROM STEVEN
Published: February 2025

In this paper, we present new inequalities and bounds involving
the incomplete gamma function and related functions. Many of these new
inequalities and bounds are based upon results, some well known and some
not as well known, from probability theory and reliability theory. When these
results are combined with other mathematical techniques, some very good upper and lower bounds are obtained. In particular, improvements of previously
discussed bounds are presented.
ON FINITE STRICT CO-SINGULARITY OF VOLTERRA OPERATORS ON NON-REFLEXIVE SPACE
Authors:   Department of Mathematics, Jamia Millia Islamia, New Delhi-110025, India, Shahbaz Mohd , Khan Taqseer ,   Department of Mathematics, Jamia Millia Islamia, New Delhi-110025, India
Published: February 2025

Finite strict co-singularity of Volterra operators Va : L1
[0, 1+a] →
C[0, 1], where 0 ≤ a < ∞, defined by (Vaf)(x) = R (1+a)x
0
f(t)dt, x ∈ [0, 1], t ∈
[0, 1 + a] is explored by calculating Mityagin numbers. Also, Approximation,
Gelfand, Kolmogorov, Bernstein, and Isomorphism s-numbers are obtained for
these operators.
Relasi Syukur Dalam Meminimalisir Korupsi Di Indonesia Perspektif Al-Qur’an
Authors: Mistar Jatim , Hajad Shohebul
Published: February 2025

Corruption crimes in Indonesia from year to year continue to increase and increasingly variant forms of corruption behavior, so that with all considerations the Indonesian government creates auxiliary institutions devoted to dealing with corruption. The auxiliary institution is the Corruption Eradication Commission (KPK), however, until now, corruption behavior has also increased. Therefore, researchers here offer to deal with corruption in Indonesia with the concept of the Qur'an through the theory of gratitude with a thematic method focused on literature review. From the results of this study, it can be said that human awareness of what has been obtained will form a good character and personality and has implications for daily behavior. Gratitude is a form of positive emotion that can develop into a personality trait with good morality and has implications for influencing individuals in responding to something or situation. So that the positive emotions of gratitude can have a positive impact in preventing corrupt attitudes and behaviors. Where individuals who have high gratitude tend to be resistant to actions that violate morals.
Keywords: Gratitude, Corruption, Qur'an
Comparative evaluation of the accuracy of implant position reproduction obtained using analog and digital impression methods an in vitro study
Authors:   Department of Prosthodontics and Implantology, Ragas Dental College and Hospital, Chennai, India, Sneha A , Jeyapalan Vidhya ,   Department of Prosthodontics and Implantology, Ragas Dental College and Hospital, Chennai, India, Jayakrishnakumar S ,   Department of Prosthodontics and Implantology, Ragas Dental College and Hospital, Chennai, India, Ramakrishnan Hariharan ,   Thai Moogambigai Dental College and Hospital, Dr. MGR Educational and Research Institute, Chennai, India, Mahadevan Vallabh ,   Department of Prosthodontics and Implantology, Ragas Dental College and Hospital, Chennai, India, Baskaran Shivakumar ,   Department of Periodontics, Ragas Dental College and Hospital, Chennai, India
Published: February 2025

Purpose of the study: To compare the accuracy of implant location reproduction utilizing digital and analog impression techniques.
Materials and methods: Two implant analogs were positioned bilaterally in the 2nd premolar area at the crestal and 3 mm below the crestal level (subcrestal) to create a Maxillary Dentulous Master model. From the master model, ten analog implant impressions were created, and working castings with crestal (GROUP IA) and subcrestal (GROUP IB) implant analogs were produced. Using an intraoral scanner and STL files created, ten digital implant impressions were created from the master model with crestal (GROUP IIA) and subcrestal (GROUP IIB) implant analogs. The master model, or control, and the 10 working castings were digitalized and exported as STL files. By superimposing the STL files from each and every group onto the master model STL file, accuracy was evaluated. Using a gradient that was color-coded, the 3D deviations have been calculated at 10 different sites. The Mann– Whitney U test has been utilized statistically to assess the study’s outcomes.
Results: There were no discernible variations in 3D deviations among GROUPS IA and IB, GROUPS IIA and IIB, and GROUPS IB and IIB. Only the distal contact area of the crestally implanted implant in the digital impressions showed statistically significant variations among GROUPS IA and IIA (P = 0.026), and this difference was judged to be within a threshold level that is clinically acceptable.
Conclusion: Both digital and analog implant impression techniques can be used for single-tooth implant impression making
Integration of Cognitive Linguistics Theories into Foreign Language Teaching
Authors: Xiu Chen , Xiu Chen
Published: February 2025

This paper explores the integration of cognitive linguistics and foreign language education, analyzing its impact on modern language teaching theories and practices. It examines the cognitive nature of language learning, the role of language as a cognitive and communicative tool, and its value in enhancing teaching methods. Through specific cases, the study discusses applications in vocabulary, grammar, and discourse instruction. Finally, it envisions future developments, providing theoretical and practical insights for advancing foreign language education.
An Analysis of Verbal Humor of the Dialogues in American Situation Comedies from the Perspective of Pragmatics
Authors: Yao Mengfei
Published: February 2025

In recent years, technological advancements have facilitated the increased penetration of American sitcoms into the lives of Chinese audiences, transforming them into a prominent form of recreational entertainment. Notably, upon its release, the sitcom "2 Broke Girls" garnered substantial attention both domestically and internationally, with its humorous dialogues exhibiting a potent comedic effect. Given the significant emphasis Westerners place on humor, an analysis of the humorous dialogues in American sitcoms provides a valuable lens through which to gain deeper insights into Western cultural nuances and infuse mundane existence with amusement. Furthermore, this paper adopts a qualitative research methodology to explore verbal humor from a pragmatic perspective. It employs Grice's Cooperative Principle and Leach's Politeness Principle as the theoretical framework. By analyzing the dialogues in "2 Broke Girls," this thesis delves into the mechanics underpinning the creation of speech humor. The findings reveal that the violation of the four maxims of Grice's Cooperative Principle, as well as the six maxims of Leach's Politeness Principle, serves as a primary means to elicit verbal humor in this sitcom. Consequently, the breach of these two principles emerges as the dominant strategy for achieving humorous effect in "2 Broke Girls."
Counseling Religious for Character Building
Authors: Aslamiah  , Safitri Syiva , Alfiansyah Sendi , Rahman Siti Muthia
Published: February 2025

Islamic religious education is a subject that has the responsibility to shape the character of students in fact, the task of forming character lies with all teachers and especially parants. Guidance counseling services at school are a forum for students to convoy their complaints  and problems. This research aims to develop a counsling -based model of Islamic religious education to build the  character of students  which is packaged in the form of a  consul card. The method used in this research is the research and development method from Borg & Gall using 10 stages. Feasibility of an expert model. The subjects in this research were students in clases VIII 1 and VIII 6 Junior High School 19, Bekasi City, while the object of the research was the students character values. This research begins with collacting planning information. Development of product forms, expert validation, revision, and small group trials. The research results show that the counseling-based model of Islamic religious education must always be developed in the context of innovation in Islamic religious education in responding to students' needs, counseling will be more effective, interesting and meaningful by using counseling based on Islamic religious education, and this model can be used as an alternative to various models. counseling.
Pengaruh Pembiasaan Shalat Dhuha Terhadap Kedisiplinan Peserta Didik Kelas VIII di Madrasah Tsanawiyah Jakarta Pusat
Authors: Fadlia Lia , Dzakwan  , Sari Laela
Published: February 2025

This study discusses the Effect of Dhuha Prayer Habit on the Discipline of Grade VIII Students at Madrasah Tsanawiyah, Central Jakarta. Basically, student discipline needs to be improved so that students have a sense of responsibility at school. This study focuses on finding out the magnitude of the influence of Dhuha Prayer Habituation on the discipline of Peseta Didik. This type of research is quantitative, focusing on the disclosure of the influence between variables. The population is class VIII C and class VIII D Madrasah Tsanawiyah Central Jakarta consisting of 58 students. Data was obtained through a questionnaire. Furthermore, this study was analyzed with descriptive statistics. The results of this study show that: the habit of dhuha prayer (X) has a positive and significant influence on the discipline of students (Y), the amount of influence of the habit of dhuha prayer on the discipline of students is 25.8%. Based on the findings of the study, the habit of praying dhuha has an influence on discipline in the form of order, compliance with norms, and responsibility. While the rest is explained by other variables that are not used in this study.
Edukasi Pendidikan Teman Sebaya Menggunakan Modul Tentang Infeksi Menular Seksual Terhadap Pengetahuan Remaja
Authors: Dianna  , Diarni Aha
Published: February 2025

Adolescence (15-24 years) is a transitional period where the need for attention and protection becomes greater and more specific. Sexually transmitted infections have a significant impact on sexual and reproductive health. Adolescent groups fall into the high-risk category for sexually transmitted infections. Peer counseling has the potential to provide positive reinforcement, where one friend can act as a motivator for another. The aim of this research is to determine the effect of educational interventions by peers using modules on sexually transmitted infections in the prevention of sexually transmitted infections on adolescents' knowledge. This study employs a quasi-experimental design with pre-test and post-test without a control group. The group was provided with educational training using a module on sexually transmitted infections that included: definitions, types, signs and symptoms, modes of transmission, prevention methods for sexually transmitted infections, and how to become a peer counselor. Interventions were conducted twice a week over a period of one week, with pre-tests and post-tests using the same questionnaire. The sample consisted of 42 individuals selected through simple random sampling. A normality test of the data was conducted using the Shapiro-Wilk test, with bivariate analysis using the Wilcoxon test. The results indicated that there was an effect of providing peer education using the sexually transmitted infections module on the knowledge of adolescents.
Hubungan Budaya Makan Dan Ekonomi dengan Kejadian Kekurangan Energi kronik (KEK)
Authors: Siregar Nurelilasari , Lola Pebrianthy  , Murni Ariani Harefa  , ⁠Ita Arbaiyah  , Sarli Saragih
Published: February 2025

Chronic Energy Deficiency (CED) in pregnant women is influenced by various factors, including economic status and a culture of abstinence from food. This study aims to identify the relationship between economic status and eating culture with CED in the Hutaimbaru Health Center work area in July 2024 using a cross-sectional design with data collection using a questionnaire. Study was using total sampling and got 35 pregnant women, and data analysis was using the Chi-square test. The results showed a relationship between eating culture and CED (p = 0.022) and between economic status and CED (p = 0.011). It was concluded that economics and eating culture are related to the incidence of CED. It is recommended that health workers strengthen health promotion efforts by improving the quality of education and counseling, as well as providing motivation in health services, especially those related to the prevention and treatment of CED in pregnant women.
Cost-Effectiveness of the "Digital Air Traffic Controller"
Authors: Jung Martin , Wozny Florian , Engel Maximilian
Published: February 2025

Our paper analyzes the economic cost-effectiveness of "Digital Air Traffic Controller" (Digital ATCO), an AI-supported system developed by the Project “Collaboration of aviation operators and AI systems” (LOKI) of the German Aerospace Center (DLR). In Europe, delays due to air traffic control constraints—particularly staffing shortages—impose annual costs of around €1.9 billion on airlines. Additionally, the annual employment costs for air traffic controllers reach approximately €2.9 billion. With air traffic on the rise, these costs are anticipated to grow further. Currently, two air traffic controllers work collaboratively to manage a sector. The Digital ATCO system aims to significantly reduce the workload of air traffic controllers. This innovation reduces staffing requirements, allowing reallocation of personnel to address shortages or build capacity where needed. Our findings indicate that the benefits of Digital ATCO are very likely to outweigh its costs, demonstrating strong potential for economic and operational efficiency in air traffic management.
Another AI - Analog Intelligence
Authors: Fukuda Shuichi
Published: February 2025

Al is often thought of as something artificial, i.e., the man­ made world. However, we should remember that prompts are important in Al. In short, what Al did is it simply expanded search space due to advances in computing machines. Decision-making on how to set up the search space and how to search, that is, the strategy, is instructed by humans. The same is true for generative Al. A decision must be made as to how to carry out generation and it is humans that make such decisions. The current computing is based on 0-1, so digitalization is emphasized, but the real world is analog. Digitalization streamlines processing and enables objective, quantitative evaluation. Because of the emphasis on digitalization, the brain is attracting attention. As humans play a large role in Al, let us think about humans. It is generally believed that humans make decisions using their brains. But brains structure body experience into knowledge. Thus, knowledge is very much personal and there is a delay.However, even in our daily lives, the real world is constantly changing. To accurately grasp these situations and respond appropriately, we need wisdom, not knowledge. Furthermore, the real world is analog.e is true for generative Al. A decision must be made as to how to carry out generation and it is humans that make such decisions. Humans are made up of cells. Digitalization is being discussed at a cellular level, so to speak. But to discuss what we should do to cope with the continuously changing real world and make appropriate decisions, we should consider at the level of humans. Then, how can we process analog world with wisdom? The current industrial Society is product-centric. So, quantitative, objective approach is important. But as Maslow pointed out, human needs shift from material needs to mental needs with time and at the last stage, we pursue "Self- actualization".. We will be pursuing our own personal capabilities. This is subjective and qualitative. In short, we should move from Euclidean to Non- Euclidean approach. Mahanalobis who is a researcher of design of experiments develooped Mahalanobis Distance (MD) to remove outliers. But from another perspective, MD prioritize our decisions. In other words, it shifts our pursuit from how to what and why. i.e., from tactics to strategy. In our previous research, we succeed in immediate detection of emotion from face introducing cartoon pattern approach. Its basic idea is to introduce MD and pattern to make appropriate decision for analog objects. Here, this idea of Analog Intelligence is described.
Evaluating Training Acceleration through Selective Workload Skipping: Methods and Benchmarks
Authors: Ibrahim Kareem , Nikolic Milos , Giamblanco Nicholas , Hadi Zadeh Ali , Torres Sanchez Enrique , Moshovos Andreas
Published: February 2025

Work-skipping methods accelerate neural network training by selectively skipping work that is deemed not to contribute significantly to learning. The goal of such methods is to reduce training time while incurring little or negligible reduction in output accuracy. We identify a “blind-spot” in current best-practice methodologies used to evaluate the effectiveness of work-skipping methods. Current methodologies fail to establish objective ways of determining whether a time reduction vs. accuracy drop trade-off is indeed beneficial. We propose a set of guidelines for evaluating the effectiveness of workload skipping techniques. Our guidelines emphasize the importance of using wall clock time, comparing with random skipping baselines, incorporating early stopping or time-to-accuracy measures, and utilizing Pareto curves. By providing a structured framework, we aim to assist practitioners in accurately determining the true speed advantages of training acceleration algorithms that involve workload skipping. To illustrate the appropriateness of our guidelines we study two work-skipping methods: GSkip, which skips complete layer’s gradient computations and weight updates based on their relative changes, and DeadHorse, which selects data samples for backpropagation according to output confidence. We demonstrate how our methodology can establish when these methods are indeed beneficial. We find that on many occasions, random skipping, early termination, or hyperparameter tuning may be as effective if not more.
Child-Friendly Human-AI Interaction: Designing Tangible User Interfaces for Preschool Children to Prompt Generative AI
Authors: Süner Pla Cerda Sedef , Şahin Batuhan , Kumbasar Ecem
Published: February 2025

Generative artificial intelligence (AI) encompasses advanced computational models that can generate coherent and high-quality content when prompted such as text, images, videos, tunes and codes, by leveraging the patterns and structures present in the data they have been trained with. Popular examples of commercial tools using such models are ChatGPT (text-to-text), Midjourney (text-to-image) and Vizcom (image-to-image). Current use cases are largely developed for general or professional use purposes, which are not suitable for child users due to unregulated content, lack of child-friendly use cases or age-appropriate interaction modalities. Therefore, we propose tangible user interfaces (TUIs) as a potentially suitable approach that bridges the physical and digital world by utilising physical interaction to engage with computers. Interaction with TUIs involves physically manipulating technologically augmented objects to control the digital output. Compared to graphical user interface (GUI) which relies on indirect manipulation via “windows, icons, menus, pointer” (WIMP), TUIs provide direct manipulation, hence are more straightforward. For these reasons, TUIs are considered developmentally appropriate for preschool children, who seek concrete interactions due to still-emerging abstract thinking and fine motor skills. This paper presents a case study, a six-week design project carried out in an undergraduate industrial design programme, during which students were expected to design tangibles to create child-friendly digital content. Throughout the project, students developed TUIs for prompting generative AI to create interactive experiences that are developmentally appropriate and engaging for preschool children. The outputs were conceptual designs that made use of TUIs for media generation such as composing songs, writing stories, creating artwork and virtual environments. In this paper, we present the educational frame and sample conceptual design outputs. We discuss potential design strategies to consider while developing child-friendly human-AI interactions, such as customisation scenarios, parental roles, and balancing physical and digital interactions. Our work contributes to the user-centred development of future technologies that offer meaningful, engaging and safe experiences for children.
An Alternative Approach to Distributed Data Communication Systems
Authors: Gabbassova Zhanna
Published: February 2025

In today's increasingly interconnected world, the demand for efficient, resilient and fault tolerance distributed data communication systems is paramount. This research explores a novel alternative approach to address the challenges of traditional distributed systems. The study investigates the integration of cutting-edge technologies, such as decentralized networks, blockchain, and Software-Defined Wide Area Network (SD-WAN), to revolutionize data communication. This alternative approach aims to enhance system efficiency, scalability and reliability while reducing vulnerabilities associated with centralized systems. By leveraging decentralization principles, networking automation approaches and distributed ledger technology, it prioritizes data efficiency, integrity, security, presenting a transformative vision for network infrastructure. This research contributes to the ongoing discussions about distributed data transmission systems. It opens up a new perspective and paves the way for future achievements in this field.
Development of initial data for AI Models for the Improvement of Computer Workers Health Status
Authors: Tint Piia , Tuulik Viiu , Traumann Ada , Pille Viive
Published: February 2025

To assemble the AI model for implementation for office workers’ occupational health improvement, different data connected with work environment and human body ailments are needed. The current paper gives the data of 116 office workers health disturbances (musculoskeletal disorders) measured with myotonometry. The Nordic musculoskeletal questionnaire was used. For the initial data for AI, the scientific literature review is given. The results contain the data from myotonometry and VAS pain scale. Work-related musculoskeletal disorders are the most common workplace health hazards. The results show that trapezius muscle’s stiffness had high numbers, otherwise the thumb muscle’s stiffness was low, considered with the patients with occupational disease. On the basis of measurements and questionnaire analysis the model for AI initial data was compiled which consists of 3 parts: 1) operating working environment factors influencing on people, influence of them to the organ systems, functional stages of occupational disorders, loss of work capacity; 2) computer software on computer workers; 3) possible preventive actions. At the end of the paper the recommendations for managing of workplace ergonomics are given. Balneotherapy is one of the possible rehabilitation methods in Estonia.
AI-Powered Auditory Control and Augmented Reality Interfaces for UAVs - A Contactless Control and Situation Awareness Concept
Authors: Gehlen Joshua , Schmitz-hübsch Alina , Handke Sebastian , Koch Wolfgang
Published: February 2025

Unmanned Aerial Vehicles (UAVs) are increasingly utilized in military and civilian tasks like search and rescue, however, traditional operation methods can be risky in hazardous situations. This article presents a novel UAV control concept leveraging artificial intelligence (AI) and Augmented Reality (AR) technology, allowing operators to manage drones without handheld devices through audio-based input and output. The suggested system employs headsets and AR glasses to provide real-time visual feedback, enhancing situational awareness and decision-making by displaying critical data such as UAV position and detected hazards within the operator's field of view. The concept comprises five key components implemented within the Robot Operating System (ROS): Audio Input, Task Allocation, UAV Control, Situation Picture, and Output Units. Speech is processed using models such as Whisper, and commands are interpreted by a Large Language Model (LLM) like GPT-4, ensuring accurate recognition even in noisy environments. Initial experiments show high command recognition accuracy, indicating the concept's potential for reliable UAV control in real-world scenarios. Overall, this approach aims to improve operational efficiency and safety in UAV operations, with future work focusing on system refinement and advanced language processing.
Effects of uncertain knowledge in water level prediction using an LSTM Neural Network
Authors: Florian  Schindler Thimo , Francksen Tammo , Ohlendorf Jan-hendrik
Published: February 2025

This article endeavours to demonstrate how uncertainty in the knowledge base and input data of artificial neural networks affects the accuracy of their predictions. In this paper, we introduce a new approach dealing with the omnipresent prediction error of machine learning methods. Our approach consists of specifically identifying and decreasing uncertainty in various scenarios in the knowledge base and database to increase the accuracy of the model forecasts. The data manipulation experiments in this paper prove that uncertainty in the model forecasts can be measured by observing the change in the prediction error. The use case is a water level prediction model for a closed harbour basin based on a Long short-term memory neural network. Our model, developed using standardised AI modules, predicts future water levels based on historical data and thus optimises energy efficiency and logistical processes for a tide-independent industrial port. Various scenarios for the origin of uncertainties in the datasets are simulated through the targeted manipulation of the historical dataset. We were able to show the significant impact of uncertainty on accuracy, which supports the idea of dealing with uncertainty to enhance artificial neural networks in logistic processes.
An AI-driven Ukrainian History web platform
Authors: Kolomiets Valentyna , Oliveira Pedro , Matos Paulo
Published: February 2025

The AI-driven Ukrainian History web platform offers an innovative way for users to engage with the nation’s rich history. By integrating artificial intelligence, natural language processing (NLP), and geospatial analysis, it presents historical events, significant locations, and notable figures in an interactive and visually engaging format. The platform systematically gathers historical data using tools like Scrapy for web scraping and Tesseract OCR for digitizing scanned documents. While noisy or degraded documents may affect accuracy, the availability of high-quality sources ensures reliable data extraction. Fine-tuned NLP models, including transformers like BERT and RoBERTa, process the data to identify and categorize key entities such as dates, locations, and names of historical figures. Contextual summarization ensures the extracted information is both accurate and easy to understand. Geospatial data is managed with PostGIS, an extension of PostgreSQL, and visualized using Leaflet.js. An interactive map interface enables users to explore events by location and time period, with filters for categories like political milestones or cultural events. The backend, built on PostgreSQL, ensures scalability and performance, while development in Visual Studio Code streamlined integration across components. This platform not only preserves Ukraine’s cultural heritage but also demonstrates the potential of modern technology to transform historical education, offering an intuitive way to connect with the past and explore its influence on Ukraine’s landscape and culture.
Impact of Generative AI on the Acquisition of Competencies in Educational Institutions of the Vienna Chamber of Commerce and Industry: GenAI in Future Education
Authors: Rupprecht Patrick , Rodenas Isabel , Stingl De Vasconcelos Guedes Tilia
Published: February 2025

The aim of this research project is to develop scientifically based recommendations to support the educational institutions of the Vienna Chamber of Commerce and Industry (WKW) in effectively integrating Generative Artificial intelligence (GenAI) into their programmes. The educational institutions include the University of Applied Sciences for Management and Communication – FHWien der WKW) for the tertiary sector, two schools (Tourism College MODUL Vienna and Vienna Business School – VBS) in the field of high school education and a further education institution for further adult education (Institute for Economic Promotion – WIFI Vienna). The project examines the current perception of AI in the labour market and investigates the impact of Generative AI on students' competency acquisition, as well as strategies for its effective utilisation in educational settings. The central research question of this project is as follows: What strategies might be employed to ensure the effective utilisation of Generative AI in the educational institutions of the WKW, with a view to enhancing learners' competency acquisition and integrating it meaningfully into future education? To evaluate the present utilisation of GenAI among educators and learners, the study will employ questionnaires, workshops and practice-oriented experiments. Based on the findings of this research, an AI Info Hub will be established as a central resource platform. Its purpose is to provide educators and learners with up-to-date information, best practices, workshops, and support for integrating AI into teaching and learning processes. By comprehensively understanding and addressing the challenges and opportunities of AI in education, this project will empower educational institutions of the WKW to promote the acquisition of competencies that enable effective human-AI collaboration. Ultimately, this will contribute to improving the quality of education and preparing learners for future work environments in which AI is an integral component.
Image-based mandrel detection during stent production in an industrial environment
Authors: Haas Yuna , Sax Eric
Published: February 2025

Of the 985,572 deaths in Germany in 2020, 121,725 people died due to coronary heart disease (CHD). Therefore, CHD is the most common single cause of death in Germany. It is caused by a narrowing of the coronary vessels. This narrowing will lead to an insufficient supply of oxygen and nutrients to the heart muscle, causing a heart attack, heart failure or cardiac arrhythmia. A possible treatment for CHD is the implantation of a stent, which will widen the narrowed vessel. This widening will restore the oxygen and nutrient supply. Being a minimally invasive technique, 298.557 stent implantations were performed in Germany in 2020, accounting for about 88 % of all related interventions. According to the German fee-per-case system, the costs for a single stent range from €54.80 to €1,189.69. Combining the number of implantations with the costs per stent, the resulting financial burden on German health services is imminent. One reason for these high costs is the absence of an automated inspection and correction system during stent production using a maypole braider. Following this argumentation, an automated system for detecting and correcting geometry errors in stents during their production is desirable.To detect errors in a stent during the production process, it is necessary to measure its geometry. This requires knowledge about its position within the image. Since the stent is braided using a maypole braider, locating the stent is equivalent to locating the mandrel. This paper proposes a concept to measure the mandrels’ position during production based on camera images. It differentiates between and handles cylindrical stents as well as curved ones. Also, it compensates for the movements of both the camera and the mandrel in the x and z planes. Movements in the y-plane can be neglected. Additionally, methods to measure a cylindrical mandrel are evaluated, including Canny Edge Detection, the Hough transform, k-means clustering, and a watershed algorithm. In addition, four convolutional neural networks and two object detection models were tested. The lowest mean squared error of 9.04 was achieved using the YoloV10 object detector (mean MSE: 9.04, median MSE: 9.57, mean MAE: 11.5, median MAE: 7.65, and execution time per image: 846.9 ms). The fastest approach with an execution time of 53.06 ms is based on the Canny operator to detect lines as well as a threshold on the images’ histogram to find the position of the mandrels’ borders (mean MSE: 55.89, median MSE: 21.0, mean MAE: 70.51, median MAE: 16.12, and execution time per image: 53 ms). The images being used to train, evaluate, and test all methods were recorded using a maypole braider in an industrial environment.Parts of this work have been developed in the project Stents4Tomorrow. Stents4Tomorrow (reference number: 02P18C022) is partly funded by the German Federal Ministry of Education and Research (BMBF) within the research program ProMed.
Design of a video game adapted to the study of motivation in young people with emotional disorders
Authors: De Andrés Herrero Miguel , Lopez Victoria , Santos Matilde , Urgelés Diego , Faraco Favieres Manuel
Published: February 2025

For several years now, the impact that mental illnesses such as depression, anxiety or eating disorders have on society has become more evident, and how they are affecting an increasing number of young people. Measuring variables related to motivation, in order to perceive mood disorders, is important for monitoring the disease. There are two types of motivation. On the one hand, intrinsic motivation, which arises from within the individual, awakening interest in carrying out a task without expecting external rewards. On the other hand, extrinsic motivation, which is stimulated by the search for results or external rewards. Regarding the latter, video games and the fields of psychology and psychiatry have been strengthening their ties in recent years, proving the usefulness of this digital product in the study of patients with some type of emotional problem. This work proposes the design specifications of a video game that can measure extrinsic motivation as a psychological variable that helps determine possible behavioral problems in the person, and allows monitoring during treatment. A simple and accessible design is proposed to facilitate its use and make it user-friendly, through an implementation for mobile platforms on the Android operating system. The specifications of the video game are conditioned by the complexity of establishing a balanced workreward system, equipped with simple game mechanics that do not require specific skills on the part of the user. The result is a feasible design that could allow psychologists and psychiatrists to follow their youngest patients, and an attractive tool to promote the collection of information.
Mixed Reality as a tool for enhancing precision in surgery planning
Authors: Gomez De Cadiz Alejandra , Rodríguez- De Luis Ainhoa , Martín González Iván , Carmen Juan Lizandra María , Herrera  Ligero Cristina
Published: February 2025

Mixed reality (MR) is an emerging technology that combines features of augmented reality (AR) and virtual reality (VR) by overlaying virtual elements onto a natural environment. This fusion of the real with the digital allows users to interact naturally and intuitively with the various aspects, making MR a valuable tool for its application in different fields, including the clinical field. This work aims to present a working methodology for the application of Mixed Reality in different surgical specialities, showcasing scenarios generated for its use in the surgical fields of trauma and vascular surgery. By superimposing images and using 3D anatomical models over the surgeon's field of vision, the aim is to support the surgeon's movement guidance in complex procedures or areas that are difficult to visualise. To achieve this, the development process of the MR scenarios is detailed: firstly, the work of the medical image and extraction of the anatomical models using Materialise’s Mimics software, followed by the importation into the Unity engine for the design and positioning of virtual elements to be displayed, and finally the visualisation and design of the interactions with the digital environment through the use of different devices (tablets, smartphones, headsets). In addition to combining 3D anatomical models with information from the DICOM file of the medical image, the working methodology presented also details the work carried out for the positioning of guiding elements, such as vectors, angles, trajectories or other geometric elements that aid in guiding the surgeon’s movements, using devices that allow professionals to keep their hands free. All of this aims to show a possible use of Mixed Reality by offering greater immersion through anatomical models that faithfully represent the patient's anatomy and the ability to interact with them in real-time, making it technological support for the clinician's training for diagnosis and surgical planning, improving anatomical understanding in complex cases. The potential and application of MR in various surgical fields, especially in surgical planning, could significantly transform medical practice by allowing greater personalization of interventions, optimising precision for better clinical outcomes, and saving time in the operating room by increasing the efficiency and safety of the surgical procedure.
Specific conditions of home use medical devices: A study on CPAP devices
Authors: Erçin Okursoy Mehmet , Börekçi Naz
Published: February 2025

Recent developments in medical and healthcare technologies have resulted in longer lifeexpectancy, along with an increase in chronic conditions and related medical costs. Thistrend is being mitigated through the integration of empowering technologies into everydaylife, which improve tracking and effectiveness in preventive healthcare, thereby enhancingquality of life and lowering expenses. Digital technologies, especially smart wearables, havebecome widely adopted, addressing a variety of user needs beyond just health andwellness. Their multifunctionality facilitates their incorporation into daily routines, allowingusers to monitor exercises, steps, calories burned, sleep patterns, heart rate, bloodpressure, diet, and hydration—key components for preventive health. Conversely, whilemedical devices are becoming more compact and user-friendly for non-professionals, theirdevelopment is progressing more slowly and conservatively than digital products. Thedifferences between these markets stem from variations in regulations, research anddevelopment capabilities, financial limitations, and legal obligations. Nevertheless, medicaltechnologies in healthcare are increasingly integrating with consumer technologies,highlighting the need for product designers to be aware of the specific requirements formedical devices. This paper reports on findings from a field study with 30 users ofContinuous Positive Airway Pressure (CPAP) devices for Obstructive Sleep Apnea (OSA),selected as a successful home-use medical device for a common chronic condition. Thefindings are categorized by factors affecting product choice, ease of use, and userperceptions of CPAP therapy.
Connecting Image and Reality: The Role of 3D Printing in Surgical Planning
Authors: Gomez De Cadiz Alejandra , Morales-casas Adrian , Marissa Aguirre Ramón Claudia , Espíritu-garcía-molina Ignacio , Herrera  Ligero Cristina
Published: February 2025

Training the healthcare service members of tomorrow or assisting in the surgical planning of today's interventions is challenging, as the current CT/MRI images require an experienced and trained eye to interpret the intricate anatomy of the human body correctly. Although the CT/MRI scans are highly detailed and widely implemented, they cannot address the level of understanding a trainee or expert could gain through the haptic perception or tactile learning experience offered by 3D printing. 3D printing enables hands-on understanding through highly detailed, patient-specific anatomical models from medical imaging, providing surgeons with an interactive way to visualise and practice complex procedures before entering the operating room. In surgical education, 3D-printed models, especially those simulating the texture of actual tissues or bones, provide essential tactile feedback that contributes to realistic training scenarios. This enhances surgical precision and reduces the likelihood of complications during surgery. Moreover, these models allow trainees to practice accurate replicas of human organs, improving their skills in a risk-free environment. Therefore, this paper presents some case studies focusing on 3D printing in surgical planning that can effectively highlight the technology's current advantages and limitations. The models, fabricated with flexible and radiotransparent materials, allow surgeons to simulate surgical scenarios, improving preoperative planning, instrument handling, and decision-making. Subjective validation by specialists demonstrated that these models accurately replicate the physical properties of the target anatomy, aiding in better visualisation and procedural practice. However, limitations were observed in current methodologies, such as challenges related to material elasticity, the durability of 3D-printed models, and difficulties in navigating tortuous anatomical paths during simulations. Further, there is room for improvement in the accuracy of specific anatomical features and the interaction with surgical instruments, where minor irregularities hinder smooth operation. According to the findings, future work should focus on refining the materials used in 3D printing to enhance the robustness and realism of the models, particularly in complex anatomical structures. Additionally, incorporating real-time imaging data with 3D printing could further improve the adaptability of these models for preoperative simulations. Expanding these technologies beyond their current use in vascular surgery could revolutionise other surgical fields, offering customised, patient-specific planning tools across various medical disciplines.
Bidirectional Long Short-Term Memory (Bi-LSTM) with Convolutional Neural Networks (cNN) Based Obstructive Sleep Apnea Detection Using ECG Signals
Authors: He Yinxian , M Kwon Amy , Kang Kyungtae
Published: February 2025

Recent advances in artificial intelligence (AI) have significantly impacted various fields, including finance, manufacturing, and bio-signal analysis. Obstructive sleep apnea (OSA) is a common disorder characterized by recurrent episodes of partial or complete airway obstruction during sleep. Traditionally, it is diagnosed using polysomnography (PSG), which involves overnight monitoring of various physiological signals, including ECG. This process can be both time-consuming and uncomfortable for patients. Therefore, efficient and accurate OSA detection through bio-signal analysis is essential.ECG signals represent time-series data that exhibit high temporal dependency and non-stationary characteristics, meaning their features change dynamically over time. To address this complexity, we propose a hybrid model that integrates Bidirectional Long Short-Term Memory (Bi-LSTM) with Convolutional Neural Networks (cNN) to detect OSA events from ECG signals. This model processes key features extracted from cNN layers, capturing both past and future contexts simultaneously in the Bi-LSTM sub-module. This approach enhances the detection of subtle differences in temporal dependencies.For our study, we sampled 72 ECG signals, considering gender and severity levels from the publicly available PSG-Audio dataset, and segmented them into 30-second intervals. Following a filtering process, we applied dimensionality reduction using the EMD algorithm based on prior results. Our experiments demonstrated that the proposed model outperformed the reference model from a previous study, achieving an accuracy of 88.68%, sensitivity of 86.94%, specificity of 90.38%, and an F1 score of 0.895.These results highlight the effectiveness of the proposed model in detecting OSA, which could enhance diagnostic accuracy through advanced bio-signal analysis.