bluuebunny/crossref_metadata_2025 huggingface dataset:
Underwater Fish length detection Using the AI-Based Depth Estimation
Authors: Yeon Kim Ji , Hwan Kim Ki , Jin Kang Young , Chan Jeong Seok
Published: January 2025

The scale of terrestrial aquaculture is steadily increasing compared to marine aquaculture. It is crucial to automatically observe and manage the growth process in terrestrial aquaculture facilities. However, the need to handle fish out of water to measure their size and weight can decrease their market value. This paper proposes the use of cameras to install underwater cameras for the automatic measurement of fish size, utilizing essential distance detection. This method allows for the relative estimation of the distance of fish underwater, where the pixel to meter approach is not feasible. It enables more accurate predictions of fish size by inferring the depth crucial to the pixel to meter calculation.
Elevating Student Success: Harnessing Machine Learning to Enhance University Completion Rates
Authors: Kowarsch Dandan
Published: January 2025

This research paper presents a machine learning approach designed to aid universities in identifying students at risk of not completing their studies. Predicting student attrition and academic success is pivotal for universities to proactively intervene and enhance student retention rates. The proposed machine learning model harnesses historical student data, encompassing demographic information, academic performance, and financial status, to construct predictive models. These models employ a comprehensive array of algorithms, including Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Logistic Regression (LR), Decision Tree (DT), and Feedforward Neural Network (FNN), to categorize students into distinct retention-completion groups. By adopting this approach, universities can effectively allocate resources and implement targeted interventions, offering support to students likely to either transfer out or face academic challenges. In pursuit of these objectives, this paper highlights the specific methods employed to gather and preprocess historical student data. The rationale behind the selection of each algorithm is elaborated, showcasing their combined efficacy in providing a holistic analysis of student retention patterns. As an embodiment of data-driven education, this research holds the potential to reshape how universities approach student retention. Beyond the immediate insights derived, this work suggests a promising trajectory for further research and seeks to uplift academic outcomes and foster a more supportive learning environment.
FULL PAPER ONLY: Investigating the Impact of Confidence Scores in AI-based Decision Support Systems on Decision Quality and Reliance in Work Contexts
Authors: Markus Antonia , Marleen Daling Lea , Borowski Esther , Isenhardt Ingrid
Published: January 2025

Due to the rising demands in work contexts, for example shortage of skilled workers and the increasing complexity of work environments and decision-making context, the use of artificial intelligence (AI) -based decision support systems, is increasing. These interactions differ in several ways from interactions with AI in leisure contexts:For example, in work contexts, individuals make decisions for which they are held accountable. In contrast, when using AI in leisure contexts, the consequences of an incorrect decision may not reflect them in a professional way. Also, because individuals are experts in their respective fields, they tend to be more critical of using AI-based assistance systems in work context. Furthermore, using AI in leisure contexts is voluntary, attracting individuals who are interested in and familiar with such systems. In contrast, the use of AI systems in work contexts is often mandatory, requiring even those who are less interested and of differently competent in using AI systems to engage with them. This raises the question of how to best support individuals in work contexts where they have a high need for assistance but may be the most critical of new systems and have diverse competency levels in dealing with AI.One opportunity to support users of AI-based systems is to assist in the interpretation and critical evaluation of the output of the systems. A promising approach in this regard is the communication of uncertainty through confidence scores. These scores aid end users in interpreting the output by conveying the level of certainty of the AI recommendation. Ultimately, this approach aims to achieve a realistic calibration of trust in the system.Many studies in this field do not sufficiently consider the specific characteristics of work contexts and focus on artificially constructed decision-making situations that are not transferable to professional settings. Often, these studies involve binary decision scenarios, such as distinguishing between sick and healthy in medicine. However, in practice individuals are confronted with not only binary but also multidimensional decision situationsThe present paper addresses this gap by designing an empirical study that investigates how uncertainty communication, in the form of confidence scores, affects decision quality, reliance in the AI system, and perceived task load in the context of a multidimensional decision-making situation at work. The paper presents the current state of literature and derives hypotheses related to these questions, discusses the requirements for the experimental design, and finally addresses these through deriving a specific study design.This research aims to provide valuable insight for both academics and practitioners engaged in the interaction of human and AI-based decision support systems, their collaboration, and implementation in the practice.
Intelligent Tourist Guide System: Four Seasons Pavilion in Humble Administrator’s Garden
Authors: Liu Fang , Lu Zihang , Liu Yang
Published: January 2025

This paper proposes a "Four Seasons Pavilion Wisdom Tourism" platform, which combines fine scene modeling, digital human and artificial intelligent technologies. The system enhances visitors' experiences and understanding of Humble Administrator’s Garden, a classical Chinese garden in Suzhou, China, by providing an immersive and personalized tour. The system focuses on the iconic Four Seasons Pavilion, utilizing technologies like augmented reality (AR), virtual reality (VR), and AI-driven interactive digital guides. This work disrupts traditional tourism models and introduces a new era of personalized, enriching, and interactive cultural experiences. Unreal Engine 5 (UE5) powers 3D character animation and a dynamic user interface, offering real-time fantastic interactions. It provides a prototype and reference for building up an intelligent tourist guide system.
Exploring cybersecurity challenges of digital transformation in higher education
Authors: Alshahrani Fatimah , Alyami Shoug , Alyami Mahdi , Alqhatani Abdulmajeed
Published: January 2025

Cybersecurity is a critical issue when it comes to the digital transformation of operations and services undertaken by many organizations and sectors worldwide. In Saudi Arabia, the government aimed to improve the education sector by integrating the latest technologies in learning and by automating the workflow within schools and universities. In this study, we explore how potential cybersecurity threats resulting from the digital transformation are managed by Saudi higher educational Institutions. We conducted semi-structured interviews with cybersecurity and digital transformation experts to understand their digital transformation and risk management plans and practices. Based on our findings, the adoption of advanced technologies, such as IoT devices and cloud computing services, can lead to security and privacy risks, particularly the possibility of unauthorized access and misuse of data. Our study also reveals the key challenges organizations face when securing their systems, including the limited awareness among staff and students about cybersecurity issues and data compliance rules, the lack of resources, and the legacy systems and infrastructures. This study also outlines a set of practices to protect the digital infrastructure and resources within educational institutions.
QHS Methodology for Mathematics Teaching in Engineering
Authors: Martinez Rodolfo , Moreno Cabral Sonia , Ivan Nava Dominguez Sergio , Quintero Rosas Veronica , Sarai Villegas Quiñonez Janneth
Published: January 2025

The Fifth Systemic Helix (QHS) methodology represents a systemic tool to develop mathematical competencies in engineering. A key aspect of the QHS Methodology is to promote the integration of theoretical and practical knowledge, which is essential in the training of engineers. This includes the application of mathematical concepts in real engineering problems. Focusing on developing critical thinking skills, problem solving and the ability to argue and communicate mathematical ideas effectively. Collaboration between students, professors, and industry professionals enriches the learning process and prepares students for teamwork in professional environments. The implementation of technological tools and digital resources is an integral part of QHS, facilitating interactive learning and simulation of complex scenarios. The methodology includes continuous assessment mechanisms to monitor student progress and adjust teaching strategies as needed.
Ethical Implications of Virtual and Augmented Reality in Workspaces: Challenges and Opportunities to Promote Inclusion and Safety
Authors: Chong Joshua , Tu Xinyi , Zallio Matteo
Published: January 2025

Contemporary workspaces are constantly evolving, and we have seen the emergence of remote and hybrid workspaces using virtual and augmented reality. With these advancements come many ethical considerations that need to be identified and addressed before these environments become more widespread. This includes issues concerning inclusion, access, and safety of Virtual Reality (VR) and Augmented Reality (AR) technologies in both virtual and in-person workplaces. Two research questions arise: (1) What are the ethical considerations and potential challenges associated with the use of VR and AR technologies in hybrid and virtual working environments? (2) How do these technologies impact inclusion, access, and the safety of shared content in hybrid and virtual workplaces? To answer these questions, our study systematically analyzes recent research on the ethical implications of VR and AR technologies in hybrid and virtual working environments. A total of 13 studies were identified based on specific inclusion criteria, such as the publication date and the presence of certain keywords in the title or text. While the research found some articles on the ethics of VR, AR, and the metaverse that briefly discuss work-specific dilemmas, we found scarcity of studies that focused specifically on ethics in VR, AR, and metaverse in the context of working environments. With this study we aim to provide a comprehensive understanding of some of the challenges and opportunities that VR and AR technologies can offer to users of workspaces and offer recommendations for organizations to address these ethical dilemmas in the name of inclusion and safety.
Enhancing Technology Acceptance in Socio-Technical Systems: A Human-Centered Approach to AI Implementation
Authors: Böhme Carolin , Graf-pfohl Claudia
Published: January 2025

The integration of Artificial Intelligence (AI) into existing operational socio-technical systems presents a significant challenge, as it necessitates interventions in ongoing systems. The success of implementing new technologies critically hinges on the consideration of human factors, established workflows, and human needs. Neglecting these elements can lead to the failure of implementation at the human component. Therefore, it is imperative to involve humans not only in the development of technology but also in its implementation.This study explores how technology acceptance in socio-technical systems, particularly concerning AI, can be enhanced. Research, such as that conducted by acatech, reveals that the primary obstacle to the successful implementation of AI technologies and data-driven assistance systems is the human factor. Consequently, the inclusion of the human component in both technology development and implementation is pivotal for success.Effective knowledge transfer from research to businesses, especially within the framework of Human-Centered Design (HCD), is of utmost importance. Aligning with the United Nations’ sustainability goals is particularly supportive in creating functional networks and conserving resources. Adapting knowledge to individual practical cases is essential.The study advocates for a theoretical approach, emphasizing the necessity of HCD at different levels. HCD methodologies must be tailored to specific contexts, breaking down the approach into practical steps.There are three levels of Human Inclusion in AI Implementation:1. Technology: Adopting a genuine HCD approach, the research emphasizes moving away from inventing technology for non-existent problems or irrelevant issues. Instead, the focus should be on developing technology that addresses operational challenges.2. Organization: Training leaders, incorporating agile principles, and considering the organizational context are crucial for successful AI implementation.3. Mutual Participation: Advocating for participatory development where humans and technology collaborate, aiming to diminish technology apprehension and foster acceptance without overwhelming individuals.This study supports its arguments through existing research, logically concluding that a human-centered approach is essential for successful AI implementation. It emphasizes the need for suitable technology development aligned with operational challenges. We conclude by providing practical recommendations for implementing a human-centered approach within socio-technical systems, aiming to enhance technology acceptance without inducing change fatigue. Following the proposed approach promises technology acceptance without the negative impact of change fatigue. This outlook underscores the importance of a thoughtful and inclusive strategy in implementing AI within socio-technical systems.
Evaluating AI-generated Research Plans: Expert Insights from a Blind Authorship Study
Authors: Thien Nhi Dam Thi , Glomann Leo
Published: January 2025

Artificial Intelligence (AI) is increasingly being adopted in academia to enhance various research activities and has proven to be a valuable research accelerator in recent studies. This study examines the capabilities of large language models (LLMs), specifically ChatGPT and Gemini, in generating comprehensive research plans during the early stages of research. We tasked both models with developing research plans on the topic of “Gen Z's willingness to sacrifice convenience for environmental benefits” including interview guidelines and survey questions. Eight expert researchers evaluated these research plans without knowing they were AI-generated. Our findings provide in-depth insights into the perceptions of expert researchers regarding the quality of AI-generated research plans, identifying missing elements and pitfalls of utilizing AI in the planning activity of research. The necessity for researchers to oversee and intervene in AI outputs is emphasised in our research to fully leverage the advantages offered by this technology.
Optimizing Industrial Forklift Human-Machine Interface (HMI) Position
Authors: Rudder Sarah , Bumgarner Sean
Published: January 2025

In a freight system there are many pieces of equipment that compose a system context. The system of interest for our examination is less than truckload (LTL) assets. This paper extends previous research of the tractor fleet to the dock fleet comprised of forklifts and operators. Forklifts are used to transport heavy shipments (i.e., fixed assets) inside a warehouse facility. Electronic documentation of these shipments determines trailer manifests, informs customers on freight location, and observes service constraints in real-time. Placement of incoming freight (i.e., warehouse stock) is communicated to forklift operators via an electronic tablet to enable tasking. The tablet displays workflow and informs the operator where to dock or load freight being processed. Finally, we must understand how the forklift operator interacts with the screen. The luminous intensity, luminous flux, luminance, and illuminance resulting from the tablet placement are used to calculate screen glare and realize necessary adjustments. Methods utilized for this research include analysis of device design alternatives, mounting options, and operator visibility. Interviews were conducted to assess perceived distractedness by the operators. This research concludes with a recommendation for tablet mount location that will maximize forklift operation effectiveness within the LTL system context.
Evaluating the Impact of Head-Up-Display Position for Navigation Systems on Driver Safety and Usability
Authors: Farooq Ahmed , Mertkan Mehmet , Pakkanen Toni , Raisamo Roope
Published: January 2025

Head-Up Displays (HUDs) in passenger vehicles are increasingly recognized as a promising technology for enhancing driver immersion and improving road safety by projecting essential information directly into the driver’s line of sight. Despite the apparent advantages, HUD systems have also been associated with challenges, particularly concerning cognitive overload and the possible impact on drivers' focus and overall safety. This study seeks to address these concerns by evaluating HUD navigation systems in comparison with traditional Head-Down Display (HDD) systems. To systematically investigate the effects of HUDs on driver behaviour, a controlled driving simulator study was developed and tested by 22 participants. Each participant engaged in driving tasks using both HUD and HDD interfaces, allowing for a direct comparison of driving behaviour on key behavioural metrics. Authors evaluated variances in the participants' attention to road conditions, their cognitive load, and interaction patterns with the navigation systems. In addition to these objective measures, subjective feedback was collected from participants to capture their personal impressions and preferences regarding the usability and effectiveness of each display type in the simulated Laboratory driving environment. The findings from this research highlight several notable advantages of HUD systems. A significant majority of participants expressed a preference for HUDs, primarily due to the reduced need for frequent focal shifts between the display and the road, which allowed them to maintain better situational awareness of their surroundings. Quantitative performance metrics, such as the duration of road focus and the accuracy of environmental perception, were consistently higher when participants utilized HUDs compared to HDDs. The research offers specific recommendations for future design refinements aimed at achieving an optimal balance between information presentation and driver safety, paving the way for more effective and safer HUD integration in future vehicle models.
A Multimodal Sensor Setup for In Situ Comparison of Driving Dynamics, Physiological Responses and Passenger Comfort in Autonomous Vehicles
Authors: Devriendt Harald , Sarrazin Mathieu , D'hondt Thomas , Gkentsidis Konstantinos , Janssens Karl
Published: January 2025

With the growing integration of automated driving (AD) functions in passenger vehicles, it is essential to focus not only on safety but also on passenger comfort which is often overlooked in the design process. Integrating this in the design cycle requires a thorough understanding of the relation between objective metrics and the subjective passenger response. This paper introduces a novel multimodal measurement platform for efficient measurement of objective metrics and subjective comfort in a representative AD setting. The platform, built on a commercially available electric vehicle, contains sensors to concurrently capture data on vehicle dynamics, environmental conditions, and passenger physiological responses. An automated data processing pipeline has been developed to compute and visualize metrics related to both vehicle performance and passenger comfort. The platform has been utilized in a proving ground jury test, with preliminary qualitative analyses identifying potential comfort-related indicators, such as Time-to-Collision and Galvanic Skin Response. The platform and its processing pipeline will be the basis for further investigation into objective-subjective comfort correlation and prediction in the future.
Dynamic Optimization of Adaptive Vehicle Lighting Systems: A Multimodal Assessment of Driver Performance and Well-being
Authors: Chai Ruizhuo , Wu W
Published: January 2025

This study introduces a pioneering method for optimizing Adaptive Vehicle Lighting Systems (AVLS) by integrating eye-tracking technology and physiological indicators to assess driver performance and safety comprehensively. Building upon previous research on AVLS's impact on driving outcomes, this study employs a multimodal evaluation strategy that captures the intricate interplay between visual attention, cognitive load, and stress response under various lighting conditions. The primary objective is to identify personalized lighting configurations that enhance situational awareness and diminish cognitive demands on drivers.Participants engaged in a series of simulated driving tasks under controlled AVLS settings designed to emulate a diverse array of road scenarios. The preliminary findings of this research highlight the intricate relationship between AVLS settings and driver performance. The study reveals that optimal lighting conditions can notably reduce pupil dilation, a physiological marker of cognitive load, improve scanning efficiency, and enhance visual search capabilities. Moreover, personalized lighting adjustments have been shown to alleviate stress levels and enhance driver comfort, as indicated by reductions in heart rate variability and skin conductance responses.This study underscores the significance of a multidimensional evaluation of AVLS parameters. By overcoming the limitations inherent in current research, this method aspires to offer a more precise and effective optimization of AVLS. The ultimate goal is to bolster road safety and driver assistance. Through extensive testing under diverse conditions and a comprehensive assessment of performance indicators, this study sets the foundation for the progression of AVLS technology. The advancement of AVLS technology, in turn, can better adapt to the dynamic and ever-changing characteristics of road environments, ensuring a safer and more comfortable driving experience for all.
Exploring Inner Landscapes Through Material
Authors: Camplone Stefania , Spitilli Ivo , Di Bucchianico Giuseppe
Published: January 2025

Today’s youth are confronted with a complex and ever-changing reality, filled with stimuli and contradictions that challenge their inner world and render them more vulnerable to the demands of daily life. Their “interior landscapes,” shaped by the digital age, are increasingly heterogeneous and contradictory, highlighting fragilities and insecurities that can hinder their educational journey. However, verbal expression and the sharing of emotions, whether positive or negative, is a complex and sometimes painful process, often leading to the internalisation of their discomfort.This paper presents the outcomes of a workshop conducted within the framework of the three-year orientation project POT Design NEED, funded by the MUR (Italian Ministry of University and Research). The workshop took place at the Department of Architecture of the University of Chieti-Pescara, with the participation of students from the Design bachelor degree program and students from the MiBe (Art High School) in Pescara.The workshop aimed to guide students on a journey of self-discovery without their awareness of being subjects in a personal exploratory study, to avoid influencing the final results. This “journey” was valuable for exploring the students’ emotional states, in order to understand their latent needs (emotional, psychological, etc.). The goal was to contribute to overcoming the difficulties and discomforts they encounter in the university environment, thus aiding them in their educational journey.The workshop employed a non-invasive approach to explore the emotional universe of the students. Through a creative process that led them to express their emotions by creating tactile, material-based tablets, it was possible to conduct a needs and difficulties analysis in an environment of mutual listening and dialogue. To achieve this, they were invited to manipulate a synthetic, moldable paste in a synesthetic process, adding or removing material, “imprinting textures,” or treating the surface with various tools, all while listening to music that best represented their current emotional state.By selecting a keyword, the students were able to imbue the material with emotional and symbolic significance, tangibly expressing the nuances of their inner world. The resulting tiles were then presented in a video and discussed in groups, offering students a unique opportunity to reflect on their experiences and connect with the emotions of others.This experience lays the foundation for the construction, over the next three years, of an “emotional atlas” of students, identifying areas of greatest vulnerability. This atlas will serve as a valuable compass for guiding support interventions in education, with the aim of promoting a “personal” educational journey that allows students to face and overcome obstacles with the utmost serenity.
Innovative Multimodal Translation: Unveiling the Figure Out Application's Real-Time Language Solution
Authors: Escudeiro Paula , Escudeiro Nuno , Campos Márcia , Escudeiro Francisca
Published: January 2025

Communication across languages, particularly between deaf and hearing individuals, presents significant challenges. Traditional translation tools, while helpful, often fail to fully address the diverse needs of these users. This paper introduces Figure Out, a mobile application designed to provide real-time translations of text captured from images. By utilizing advanced optical character recognition (OCR), Figure Out translates written text into multiple formats—audio, text, and sign language—making it particularly accessible for individuals with hearing impairments. The app’s key advantage is its support for both spoken and signed languages, offering a comprehensive tool for inclusive communication.By integrating text, spoken, and signed language translations, Figure Out takes a unique approach to breaking down communication barriers and fostering inclusion. It allows users to engage with the world around them, translating everyday text such as signs, timetables, and menus quickly and efficiently.A standout feature of Figure Out is its real-time image-to-sign language translation capability, which is not commonly found in other translation tools. This functionality enables seamless communication in real-world situations like reading public notices, navigating transport hubs, or visiting cultural and historical sites—contexts where written information may otherwise be inaccessible to the deaf community.Beyond casual use, Figure Out offers significant potential in education and tourism. In educational settings, it fosters inclusivity by providing deaf students access to learning materials in sign language. For tourists, especially those who are deaf or non-native speakers, the app serves as a personal guide, translating information into their preferred language, thus enriching their travel experience. Also, it promotes cultural accessibility by enabling greater engagement with museums, galleries, and historical sites. Finally, Figure Out is more than just a translation tool – by offering real-time text, audio, and sign language translations, it addresses the need for accessible, user-friendly technology that benefits both deaf and hearing individuals. Its ability to improve daily interactions and enhance accessibility in cultural, educational, and travel settings positions it as a valuable contribution to breaking down language barriers and fostering a more inclusive society.
AI-Supported Personas vs Conventional Personas: A comparative Study Based on The Views and Opinions of Designers
Authors: Cinar Balci Ece , Cem Alppay Ekrem
Published: January 2025

In product design, understanding the target user group, their habits, preferences, and likes is crucial for ensuring a product meets user needs. User research plays a vital role in the early stages of the design process. The persona method, developed by Alan Cooper, is a widely used technique in the design process where users are grouped based on real data and represented by fictional characters. Conventional persona creation relies on qualitative data and designer intuition, which can be time-consuming and prone to bias. This paper explores the use of AI-driven tools, specifically ChatGPT-4o and DALL-E3, to generate dynamic, data-driven personas, offering a more efficient and precise alternative. The study compares four conventional and four AI-supported personas for mobile music streaming apps both derived from interviews with 24 users. Ten product designers evaluated both persona types, with results indicating that AI-supported personas hold significant potential for enhancing user experience design. The findings demonstrate how AI can enable more adaptive, user-centric designs, bridging the gap between conventional methods and AI-supported approaches.
Digital Teaching to Develop Soft Skills – A User-Centered Approach
Authors: Bender Jonas , Bengler Klaus
Published: January 2025

The development of soft skills, including teamwork, communication, critical thinking, and emotional intelligence, has become essential in the modern workplace. Despite this growing need, conventional teaching methods in higher education often fail to prioritize these competencies, favoring traditional lecture-based approaches. This paper addresses the gap by presenting a digital project management platform designed to enhance soft skills among university students through practical, team-based learning.Following a user-centered design process, the platform was developed using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model, which structured its creation and evaluation. Semi-structured interviews with faculty and students informed the design of user personas, which were key in aligning the platform's functionality with users’ needs. Central to the platform is a Kanban board that facilitates project management and encourages students to apply soft skills in realistic scenarios, such as organizing tasks, collaborating with peers, and communicating effectively. Additional features support group interaction and provide educators with tools to guide and assess students’ progress.Digital teaching offers distinct benefits for skill development, including greater accessibility and flexibility for learners. By allowing self-paced learning and access from any location, the platform supports personalized experiences tailored to individual preferences. Furthermore, its interactive elements, such as gamified components and simulations, promote active learning and provide students with a safe space to practice and refine their soft skills. The digital format also allows for scalability, enabling widespread adoption and cost-effective implementation across diverse educational contexts.The platform’s usability and impact will be assessed through an eye-tracking study to observe user interaction patterns. This study will help optimize design elements and ensure the platform effectively supports learning objectives. Technically, the platform consists of a client-side application built with React and D3.js for visualizations, and a server-side component that uses Node.js and MongoDB for data management. This architecture supports a seamless and user-friendly experience, enabling students to engage meaningfully with the content.In conclusion, this paper proposes a practical strategy for integrating soft skills training into university education through digital means. By leveraging a user-centered design and modern digital tools, the platform offers a dynamic, engaging learning environment that meets the demands of both academia and the workforce. This approach not only enhances students' readiness for future employment in a volatile, uncertain, complex, and ambiguous (VUCA) world but also encourages the development of essential life skills, bridging the gap between academic knowledge and practical, real-world application.
Leaving the Big Canadian Senior Market Health Check: Future Relevancy of the Public Markets at Risk as Operating Public Company Decline Accelerates
Authors: Wilson L. Daniel
Published: January 2025

Since the peak of operating company listings in 2008, the number of operating companies listed on the Toronto Stock Exchange (the “TSX”) has declined by 42.5%. A short COVID-era Initial Public Offering (“IPO”) boom in 2020-21 offered a brief reprieve in the ongoing operating company decline phenomenon, but the last two and one-half years has seen the worst Canadian IPO market over the multiple decades for data is available.  Each passing month now sees a new multi-generational low in the number of operating public companies listed on the TSX.
It has become apparent that the public operating public company decline phenomenon in Canada has become systemic and will not be reversed without significant reform in the regulation of capital markets along with other key policy innovations.  Academic analysis on thetopic of operating public company decline to date in Canada has largely been focused only onthe twin headline statistics of total operating company listings and IPO volumes. Significant data gaps remain as to the broader nature of the operating public company decline phenomenon in Canada. Filling in these data gaps is necessary to underpin further academic analysis as to which regulatory reforms, and other public policy interventions, are most likely to be successful in reversing the tide of public company decline.
This paper picks up the threads of pre-COVID analysis on this important issue, starting with a review of the key reasons why operating public company decline in Canada is a critical public policy issue necessitating intervention. Theories on factors contributing to the phenomenon are also briefly discussed. Finally, this paper presents a variety of key data points examining in more detail the precise nature and extent of the operating public company decline phenomenon in the senior Canadian capital markets.
Role of Cryotherapy in the Management of Cervical Ectropion: A Comprehensive Review
Authors:   Associate professor & Head clinical preceptor, Krishna Teja Pharmacy College, Tirupati, Andhra Pradesh, India., Pavithra C.
Published: January 2025

Cervical ectropion, also known as columnar epithelium on the vaginal portion of the cervix, is one of the common benign conditions that occur in women of reproductive age. Although generally asymptomatic, symptomatic CE can cause painful symptoms such as vaginal discharge, itching, dyspareunia, and post-coital bleeding, and could potentially increase the risk of infection with HPV and cervical dysplasia. Cryotherapy is inexpensive and minimally invasive, and widely used for symptomatic CE. Double-freeze cycle of liquid nitrogen at extremely low temperatures in liquid nitrogen freezes the affected tissue and destroys ectopic epithelium. Cryotherapy is easy, well-tolerated, and may be performed without anesthesia and on an outpatient basis. There are published studies that show a high efficacy rate of up to 98% for resolution of ectropion with symptom relief of 95% in the treated patients. General side effects include cramping and copious vaginal discharge and, in general, resolve spontaneously over weeks. Other complications that include cervical stenosis and infection are unusual but can occur with more significant outcomes. Cryotherapy remains a treatment of choice because of high success rates and minimum side effects and it is very inexpensive, therefore highly advantageous in low-resource settings, where the accessibility of more advanced treatments may be limited. More advanced cases or lesions far in the cervical canal of cases may not be adequate enough to be treated through cryotherapy; however, it is usually effective for most women who experience symptomatic cervical ectropion.

Key words: Cervical ectropion, Cryotherapy, Cervical dysplasia, Liquid nitrogen, Vaginal discharge, post-coital bleeding, Minimal invasive treatment.
Early Diagnosis of Brain Tumor Using AI and Mathematical Modeling
Authors:   B. Tech (Computer Science and Engineering-AIML), SRM Institute of Science and Technology Delhi-NCR Campus, Ghaziabad, U.P, Kumar Tanisha
Published: January 2025

Timely detection of Brain Tumors is crucial for improving patient outcomes and reducing mortality rates. This study explores the significance of early diagnosis and investigates the role of various diagnostic methods. Leveraging advancements in medical imaging, including MRI, CT scans, and PET scans, alongside blood tests measuring biomarkers such as glial fibrillary acidic protein (GFAP) and neuron-specific enolase (NSE), facilitates early detection of Brain Tumors. Furthermore, emerging technologies like artificial intelligence algorithms enhance the accuracy and efficiency of diagnosis by analyzing imaging data and identifying subtle abnormalities. Early detection not only offers patients more treatment options but also improves their prognosis. Therefore, it is crucial to raise awareness about the importance of regular screenings and symptom awareness to ensure early detection and timely intervention for Brain Tumors.

Keywords: Brain tumor, Early detection, Artificial intelligence, Mathematical modeling, Medical imaging, Mammography, liver MRI, Machine learning, Deep learning, Screening strategies.
Intelligent Travel Assistance for Bus Passengers
Authors:   Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore., R  T, Vijayaraghavan
Published: January 2025

The 'Intelligent Travel Assistance for Bus Passengers' introduces an innovative approach by integrating AI capabilities to enhance the notification system as passengers enter a predefined geo-fence. Geo-fence is a virtual border which is defined by GPS, which the user’s destination is at the center point. Users can have the flexibility to customize the notification range, determining how far in advance they receive alerts. This system employs Geo-Fencing and GPS technologies, accessible through the passenger's mobile phone location. The application, developed in Java and utilizing the Google Maps API for destination and geo-fence determination, ensures a user-friendly interface. Going beyond traditional methods, Passengers, can effortlessly select their bus services along with boarding and dropping points and specify approximate times, are ushered into a journey that prioritizes intuitiveness, security, and tailored convenience. In this project, the integration of AI takes this customization to the next level, learning real-time analysis and analyzing recent historical data to deliver personalized and adaptive travel assistance. The system's proactive approach, fueled by real-time traffic analysis and the ability to navigate route diversions intelligently, ensures that users receive timely and accurate alerts, even in dynamically changing conditions. On the infrastructure front, the project incorporates a PostgreSQL database, offering a robust and reliable foundation for data storage, retrieval, and management. Cloud services from AWS, Azure, and Google Cloud provide scalable and efficient hosting solutions. The Android app leverages background location tracking, ensuring accurate and continuous positioning. This holistic integration of technologies creates a sophisticated travel assistance system that combines innovation, customization, and reliability.
System Integration Failures and Their Impact on Patient Safety in Critical Care Settings
Authors: Pasupuleti Shashank
Published: January 2025

Robotic surgery systems offer precision and minimally invasive procedures, enhancing surgical outcomes in critical care settings. However, these systems' complexity, with integrated hardware and software, can lead to integration failures, compromising patient safety. This paper examines the system integration challenges in robotic surgery, explores their effects on patient safety, and suggests solutions to overcome them. Rigorous testing strategies during development and continuous monitoring of system performance are crucial in detecting failures early and ensuring reliable system operation.
Keywords:
Robotic Surgery Systems, System Integration, Patient Safety, Software Failures, Hardware Failures, Critical Care, Integration Testing, Failover Mechanisms, Robotic Arms, Sensor Calibration, Real-Time Data Processing, Medical Robotics, Surgical Precision, Failure Detection, Stress Testing, Fault-Tolerant Design, Error Handling, Modular Design, Quality Assurance, ISO 13485, Robotic Surgery Failures, Calibration Errors, Mako System, Da Vinci Surgical System, CyberKnife System, Automated Testing, Robotic Surgery Technology.
Георгій Челпанов: традиціоналіст чи психологіст у логіці?
Authors: Мироняк Віталія
Published: January 2025

Стаття вибудовується навколо питання: який напрям у логічному доробку Георгія Челпанова превалює? Тут йдеться про популярні підходи у логіці наприкінці ХІХ – на початку ХХ століть. А саме: математична логіка, психологізм у логіці і традиційний підхід до логіки.          Математична логіка, яку часто називають «новою логікою» виникає як відповідь на метафізичний вплив на логіку. Відтак, ця «нова логіка» рухається у бік алгебри здебільшого переслідуючи мету «очистити» логіку від філософії. З іншого боку монети, у вказаний період досі залишається психологізм у логіці. Тут застосовується інструментарій, який притаманний саме психології, що різко контрастує з першим згаданим підходом. Хоч і напрямків у логіці у цей період можна віднайти більше (наприклад часто вказують ще на «гносеологічний»), але я фокусуюся саме на трьох. І третій, останній, але не останній за своїм впливом та поширеністю серед науковців – традиційний. Тут йдеться про загальний виклад логіки, який притаманний в університеті і починається ще з часів Середньовіччя. Адепти цього напрямку найбільше цікавляться питаннями про поняття, судження, міркування тощо.          Тож, до якого напрямку можна віднести логічний доробок Георгія Челпанова? З одного боку, виникає бажання зарахувати дослідника до прихильників психологізму у логіці, адже під час свого «київського періоду» він заснував першу психологічну лабораторію у 1897 році. Також у його праці «Підручник з логіки» Георгій Челпанов часто використовую термінологію, яка притаманна психології. Але з іншого боку, науковець неодноразово вказує на те, що психологія не повинна впливати на логіку. І пропонує розглядати логіку як нормативну дисципліну. У висновках я приходжу до того, що Георгій Челпанов знаходиться на стику психологізму та традиційного підходу. Він не є прихильником сильного психологізму, але прояви слабкого у його працях наявні. Що стосується традиційного напрямку, то підручник, який Георгій Челпанов написав є яскравим прикладом цього підходу починаючи із структури і тем, які автор розглядає, закінчуючи визначеннями, які там пропонуються. Також у статті описується наукове середовище, яке у згаданий період зазнавало низку заборон через окупацію російської імперії, що також впливало на розвиток логіки чи будь-якої іншої науки.
Карл Раймунд Поппер Три світи
Authors: Поппер Карл
Published: January 2025

"Три світи" - це Таннерівська лекція про людські цінності, виголошена Карлом Поппером 7 квітня 1978 року у Мічиганському університеті. У цій роботі Поппер представляє плюралістичний погляд на світ і пропонує обґрунтування цієї перспективи. Переклад здійснений за виданням Popper, K. R. (1979). Three Worlds, in The Tanner Lectures on Human Values, vol. 1, edited by Sterling M. McMurrin, University of Utah Press, Salt Lake City, and Cambridge University Press, Cambridge, pp. 141–167.
Проблеми моделi практичної iдентичностi особистостi в аналiтичнiй фiлософiї
Authors: Оліфер Олена
Published: January 2025

У статті розглянуто проблему ідентичності особистості в аналітичній філософії як збереження самототожності особистості з собою впродовж часу. Описано модель практичної ідентичності, яка ґрунтується на тезі, що ідентичність особистості полягає у формуванні раціональної єдності, тобто цілісності Я, що досягається шляхом виконання діяльності. Такий спосіб опису ідентичності підкреслює її процесуальність. Відповідно до нього, ідентичність особистості зберігається постійною атрибуцією діяльності, коли особистість приписує собі виконані дії та визнає їх своїми.
Філософи, які обґрунтовують модель практичної ідентичності як альтернативу онтологічної, переконані, що практична модель не тільки пояснює, як ідентичність формується й зберігається впродовж часу, але й охоплює проблеми практичної діяльності особистості. Тому її вважають такою, що має ширше застосування, ніж онтологічна.
У статті ми пропонуємо перевірити онтологічну й практичну моделі ідентичності особистості в уявних експериментах про подорож у минуле й амнезію, які розглядають як у філософії, так і в популярній культурі. Ми показали, що модель практичної ідентичності не в усіх без винятку випадках застосовна для пояснення практичних проблем буття особистості. Тому мета нашої статті – з’ясувати, чому виникають проблеми з описом ідентичності особистості в практичній моделі.
Стаття обґрунтовує, що реідентифікація, спосіб підтримувати ідентичність особистості у часі, призводить до зникнення якісної відмінності між етапами буття особистості, а тому особистісний наратив стає занадто суб’єктивним і не пов’язаним із реальним життям особистості. Також він не охоплює усе життя індивіда, що також є проблемою практичної моделі ідентичності особистості.
Щоби знайти можливе розв’язання зазначеним проблемам у моделі практичної ідентичності ми пропонуємо переглянути її з позиції соціальної філософії. Ми стверджуємо, що діяльність із необхідністю передбачає залучення інших, а тому слід говорити про суспільну взаємодію як основу ідентичності особистості.