bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding the Characteristics of Frequent Users of Emergency Departments: What Role Do Medical Conditions Play?
Authors: Rauch Jens  , Hüsers Jens  , Babitsch Birgit  , Hübner Ursula
Published: February 2025

Frequent users of emergency departments (ED) pose a significant challenge to hospital emergency services. Despite a wealth of studies in this field, it is hardly understood, what medical conditions lead to frequent attendance. We examine (1) what ambulatory care sensitive conditions (ACSC) are linked to frequent use, (2) how frequent users can be clustered into subgroups with respect to their diagnoses, acuity and admittance, and (3) whether frequent use is related to higher acuity or admission rate. We identified several ACSC that highly increase the risk for heavy ED use, extracted four major diagnose subgroups and found no significant effect neither for acuity nor admission rate. Our study indicates that especially patients in need of (nursing) care form subgroups of frequent users, which implies that quality of care services might be crucial for tackling frequent use. Hospitals are advised to regularly analyze their ED data in the EHR to better align resources.
Personal Tour Planning System (PTPS) for Use in Urban and Rural Areas
Authors: Li Shuang  , Komatsu Issei  , Yamada Keizo  , Takagi Masanori  , Sasaki Jun
Published: February 2025

In this study, we aim to develop a personal tour planning system for use in an urban and a rural area. We collected and analyzed comments about tourist spots from social network services. We used the interest degree (ID) to evaluate the value of a tourist destination. We also proposed modeling using the tourist itinerary, which includes the walking time, waiting time, and transit time as well as time spent at tourist spots. The proposed system uses the priority of the ID and the travel time to make a tourist itinerary for the urban and rural areas with a high level of satisfaction, including the transit efficiency for the trip. Finally, we discuss the feasibility of our proposed system with a case study using the Persona Method for locations in Iwate Prefecture, Japan.
One2Explore – Graph Builder for Exploratory Testing from a Novel Approach
Authors: Do Hoang-Nhat  , Nguyen Duc-Man  , Huynh Quyet-Thang  , Ha Nhu-Hang
Published: February 2025

It is undeniable that visual aid is the most useful option to capture the objects than any methods by using text, log. With current trends of software development methods, instead of documenting requirements in hundreds of pages or planning projects, developers are using Scrum-board and Mind-map as tools to visualize their plans, project progress, and project requirements. To the given challenges of Exploratory Testing, one of the solutions is to track in detail all of what has been done by testers and visualize them in any form which easies to capture information. By using a case study, this study investigates the role of One2Explore as a visual tool for testing in MeU Company. The findings of this study indicate that using graphs as a method to display test execution and relevant information is an approach that can be beneficial in achieving effective testing.
The Multiple Unmanned Surface Vehicles Cooperative Defense Based on PM-PSO and GA-PSO in the Sophisticated Sea Environment
Authors: Liu Yuan  , Wu Xing  , Guo Yike  , Xie Shaorong  , Pu Huayan  , Peng Yan
Published: February 2025

The unmanned surface vehicles (USVs) have become a major trend in the construction of naval equipment and its flexibility and intelligence making it widely used in real-scenes. For cooperative defense with multiple USVs to intercept intruders, it is proposed that planning the path with obstacle avoidance and protecting the target by task allocation actions. The particle swarm optimization based on probe mechanism (PM-PSO) is proposed for pathing planning with obstacle avoidance. With the consideration of the constraints of different defense schemes such as the path cost, the interception loss, the defense income and so on, it is proposed that the dispersed particle swarm optimization based on genetic algorithm (GA-PSO) for the interception task allocation. Furthermore, the fitness function is proposed to evaluate the feasibility of the interception path and the quality of the allocation scheme. Extensive simulation experiments are conducted and demonstrated the effectiveness, rationality and superiority of the proposed methods.
Intelligent m-Health App to Evaluate the Elderly Physical Condition
Authors: Ureña Raquel  , Gonzalez-Alvarez Alvaro  , Chiclana Francisco  , Herrera-Viedma Enrique  , Moral-Munoz Jose A.
Published: February 2025

The age of the population in the developed countries is increasing as well as the life expectancy for this population. This suppose a challenge for the health care system that requires of new tools to be able to face the increasing expenses that this ageing in the population suppose. With this regard, it has been demonstrated that promoting physical activity in the elderly, could prevent functional decline, frailty, falls, and fractures and reduce the risk of premature mortality. However, in order to obtain the maximum benefits of this physical activity, the activity prescription and health coaching support requires to be tailored to the functional and personal characteristics of each individual [23]. Therefore, it is of vital relevance to have tools to asses the elderly physical condition in an easy way using low cost and simple tools. In this contribution we present a preliminary version of a mobile health application, m-health app, specially aimed for the elderly population. The proposed approach offers to the health practitioners a reliable, real-time, affordable and easy to use tool to evaluate senior patients physical condition. This m-Health System could be a promising approach not only for physical assessment but as well as a tool in intervention programs to asses the patient evolution.
Annabell, a Cognitive System Able to Learn Different Languages
Authors: Jorgji Joana  , Golosio Bruno  , Cangelosi Angelo  , Masala Giovanni
Published: February 2025

ANNABELL is a cognitive system entirely based on a large-scale neural architecture capable of learning to communicate through natural language starting from a tabula rasa condition. In order to shed light on the level of cognitive development required for language acquisition, in this work the model is used to study the acquisition of a new language, namely Albanian, in addition to English. The aim is to evaluate in a completely different and more complex language the ability of the model to acquire new information through several examples introduced in the new language and to process the acquired information, answering questions that require the use of different language patterns. The results show that the system is capable of learning cumulatively in either language and to develop a broad range of language processing functionalities in both languages.
Responsive and Flexible Controlled Natural Language Authoring with Zipper-Based Transformations
Authors: Ferré Sébastien
Published: February 2025

Controlled natural languages (CNL) have the benefits to combine the readability of natural languages, and the accuracy of formal languages. They have been used to help users express facts, rules or queries. While generally easy to read, CNLs remain difficult to write because of the constrained syntax. A common solution is a grammar-based auto-completion mechanism to suggest the next possible words in a sentence. However, this solution has two limitations: (a) partial sentences may have no semantics, which prevents giving intermediate results or feedback, and (b) the suggestion is often limited to adding words at the end of the sentence. We propose a more responsive and flexible CNL authoring by designing it as a sequence of sentence transformations. Responsiveness is obtained by having a complete, and hence interpretable, sentence at each time. Flexibility is obtained by allowing insertion and deletion on any part of the sentence. Technically, this is realized by working directly on the abstract syntax, rather than on the concrete syntax, and by using Huet's zippers to manage the focus on a query part, the equivalent of the text cursor of a word processor.
CLEAR: Argumentation Frameworks for Constructing and Evaluating Deductive Mathematical Proofs
Authors: Boudjani Nadira  , Gouaich Abdelkader  , Kaci Souhila
Published: February 2025

This paper presents a tool for constructing and evaluating deductive mathematical proofs using formal argumentation called CLEAR (Constructing and evaLuating dEductive mAthematical pRoofs). This tool has a twofold objective: (i) allows students to construct deductive proofs collaboratively using a structured argumentative debate; and (ii) helps instructors to evaluate these proofs and all intermediary steps in order to provide constructive feedbacks to students. This paper focuses on objective (i) and presents results of an experimental study conducted with undergraduate students. The behavior of students during the construction of deductive proofs is analyzed to show whether formal argumentation frameworks allow students to build deductive proofs and measure students' acceptance of CLEAR.
Defence Outsourcing in Argumentation
Authors: Arisaka Ryuta  , Bistarelli Stefano
Published: February 2025

In argumentation with incomplete information, an agent often needs to outsource justification of its arguments to other agents, having not sufficient arguments of its own to defend them. Formal characterisation of the impact of such common practice on agents' decision over which of its arguments are acceptable has not been well-investigated. We present an epistemic agent argumentation theory in which an agent can outsource justification of its arguments to its benefactors either by argumentation sharing or relegation. Semantics will be formulated.
A Foundational View on Nominal and Actual Qualities in Engineering
Authors: Sanfilippo Emilio M.  , Jeanson Loïc  , Belkadi Farouk  , Laroche Florent  , Bernard Alain
Published: February 2025

Engineers distinguish between nominal and actual qualities, a dichotomy that is fundamental to guarantee that physical objects satisfy design requirements. Computational ontologies are broadly exploited across engineering domains, even though they do not attempt at making explicit the intended semantic of the two notions. The purpose of the paper is to present a foundational analysis of nominal and actual qualities to support their robust specification for knowledge representation. Instead of presenting an ontology, we discuss various modeling alternatives on which users can rely to develop their ontologies.
Deeper Error Analysis of Lithuanian Morphological Analyzers
Authors: Boizou Loïc  , Kapočiūtė-Dzikienė Jurgita  , Rimkutė Erika
Published: February 2025

In this research we continue the intrinsic evaluation of two the most popular and publicly available Lithuanian morphological analyzers-lemmatizers Lemuoklis and Semantika.lt. In our previous paper [1] we reported the comparative results of the shallow morphological analysis mostly covering coarse-grained part-of-speech tags. The results were better for Semantika.lt on 3 domains (administrative, fiction and periodicals), but not on the scientific texts. The deeper analysis of the fine-grained morphological categories (case, gender, number, degree, tense, mood, person, and voice) gave a more precise account of the strengths and weaknesses of both analyzers. Further investigations showed that the higher performance of Lemuoklis analyzer on the scientific domain is probably related to a more successful analyse of long distance agreements, in a spite of an overall slight superiority of Semantika.lt analyzer.
Instant Messaging in Dermatology: A Literature Review
Authors: Morris Christopher  , Scott Richard E.  , Mars Maurice
Published: February 2025

The use of smartphones and IM has the potential to transform the delivery of health services by providing an easy to use, cost-effective tool for remote doctor-to-doctor and patient-to-doctor consultation and diagnosis. Whilst the introduction of new technologies has improved access to healthcare, it has also created new challenges. The aim of this paper was to review the literature on the use of Instant Messaging (IM) and IM applications (apps) in dermatology.
Security and Other Ethical Concerns of Instant Messaging in Healthcare
Authors: Morris Christopher  , Scott Richard E.  , Mars Maurice
Published: February 2025

There is a growing body of evidence highlighting the benefits of mobile health in terms of cost effectiveness, efficiency and patient satisfaction. These benefits have been further enhanced through the development of Instant Messaging (IM) applications (apps) that enable the transmission of images and text messages. The aim of this paper is to review the use of IM in clinical services, and to understand the medico legal concerns with regard to the security and management of protected health information on doctors' phones.
Anonymized Distributed PHR Using Blockchain for Openness and Non-Repudiation Guarantee
Authors: Mendes David  , Rodrigues Irene Pimenta  , Fonseca César  , Lopes Manuel José  , García-Alonso José Manuel  , Berrocal Javier
Published: February 2025

We introduce our solution developed for data privacy, and specifically for cognitive security that can be enforced and guaranteed using blockchain technology in SAAL (Smart Ambient Assisted Living) environments. Personal clinical and demographic information segments to various levels that assures that it can only be rebuilt at the interested and authorized parties and no profiling can be extracted from the blockchain itself. Using our proposal the access to a patient's clinical process resists tampering and ransomware attacks that have recently plagued the HIS (Hospital Information Systems) in various countries. The core of the blockchain model assures non-repudiation possible by any of the involved information producers thus maintaining ledger fidelity of the enclosed historical process information. One important side effect of this data infrastructure is that it can be accessed in open form, for research purposes for instance, since no individual re-identification or group profiling is possible by any means.
ADHD Mobile App Feasibility Test for Adults
Authors: Luiu Anna Laura  , Prada Paco  , Perroud Nader  , Lovis Christian  , Ehrler Frederic
Published: February 2025

Attention-deficit hyperactivity disorder (ADHD) is characterized by inattention and/or hyperactivity/impulsiveness. For many adults, ADHD remains undiagnosed and/or untreated impacting their quality of life. There is a growing interest to use mobile technology interventions as a complementary support for mental health issues. Mobile apps could be usefully personalized for helping adults in managing ADHD issues. The aim of this study is to examine perceived helpfulness, ergonomics and willingness to use of an ADHD mobile app based on the PAPM model. A sample of 6 ADHD patients tested the ADHD mobile app prototype and were interviewed about their satisfaction and the perceived helpfulness of the app. Data indicate that participants were very satisfied with ADHD app and perceived it as being moderately to very helpful regarding their ADHD symptoms. These findings suggest that the app has the potential to be an effective self-management tool for ADHD.
Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System
Authors: Eggerth Alphons  , Hayn Dieter  , Veeranki Sai  , Stieg Jörg  , Schreier Günter
Published: February 2025

Unplanned hospital readmissions are a burden to the healthcare system and to the patients. To lower the readmission rates, machine learning approaches can be used to create predictive models, with the intention to provide actionable information for caregivers. According to the German Diagnosis Related Groups (G-DRG) system, for every stay in a German hospital, data are collected for the subsequent reimbursement calculations. After statistical evaluation, these data are summarised in the yearly updated Case Fee Catalogue, which not only contains the weights for the reimbursement calculations, but also the expected length of stay values. The aim of the present paper was to evaluate potential enhancements of the prediction accuracy of our 30-day readmission prediction model by utilising additional information from the Case Fee Catalogue. A bagged ensemble of 25 regression trees was applied to §21 datasets from five independent German hospitals from 2013 to 2017, resulting in 422,597 cases. The overall model showed an area under the receiver operating characteristics curve of 0.812. Three of the top five features ranked by out of bag feature importance emerged from the Case Fee Catalogue. We conclude, that additional information from the Case Fee Catalogue can enhance the accuracy of 30-day readmission prediction.
Types of Data Clarify Senses of Data Processing Purpose in Health Care
Authors: Mussalo Petteri  , Gain Ulla  , Hotti Virpi
Published: February 2025

Data taxonomy facilitates data valuation. The origin-based data taxonomy contains four types of data (provided, observed, derived and inferred) and 10 subcategories. In this paper, we report the results of multivocal literature around the origin-based data taxonomy. The review results are used to refine the definitions of the types of data when to figure out data valuation within health care. Furthermore, we exemplify how the types of data can be recognized in health care (e.g., patient medication, alerting about risk patients, patient logistics, remote monitoring) to realize data valuation based on the proposed data taxonomy around the types of data.
Three Decades of Universal Design – Defining Moments
Authors: Kinsella Margaret
Published: February 2025

This paper contributes to the growing research on incorporating Universal Design in the Higher Education landscape by presenting a Practitioner's Perspective on Universal Design as delivered in the Institute of Technology, Blanchardstown (ITB) in the first year of a creative digital media degree as part of the first year experience. This first year experience is a transition time for many students and has many complexities; while being an exciting and fulfilling time, the transition can also be challenging and isolating. Through Universal Design, the aim is to enable students to ‘Get connected’ and ‘Stay connected’. Universal Design for Learning is explored through changes in curriculum design as a means of enhancing student engagement [1]. The Universal Design framework is structured into three strands; providing multiple means of representation; providing multiple means of action and expression and providing multiple means of engagements. The broader perspectives of Universal Design are considered at Institutional level. Resources, practices and attitudes, Michael Fullan suggests, are the three critical elements required for change to occur [2]. ‘The Power of Moments’ [3] and why certain experiences have extraordinary impact, coupled with underpinning Universal Design for Learning guidelines is considered in curriculum design and how they may enable meaningful engagements.The role of creativity and innovation suggests a way of interlacing universal design with the power of moments, acknowledging the critical elements for change to move from UDL exploration to integration. This paper highlights case studies where all these interrelated forces intertwine with emotional learning and how embedding Universal Design enables transformation. These are design models and are still to be evaluated.
Ensuring Universal Design of ICT: Triggering the Triggers!
Authors: Begnum Miriam Eileen Nes
Published: February 2025

Some ICT projects manage to create award winning, inclusive solutions, while others fail. Previous research has gathered data from 34 informants across 23 ICT-projects that have achieved universal design (UD). Their reasons for success are complex, but 15 Critical Success Criteria (CSC) can be identified. This article asks: How can we utilize these insights to promote UD efforts in the ICT-industry? The article proposes a way to model the empirical data for societal utilization; supporting future efforts to promote UD. First, we analyze the relationships between personal, processual, organizational and societal factors, and how the different critical success criteria work together to positively influence the projects in our sample. Next, we apply Hertzberg and Fogg's theories to classify the CSC as triggers, facilitators, motivators or hygiene factors. Based on this deeper understanding, we model the data and propose 3 trigger factors for UD of ICT. Using our model, we propose the following three strategies, which have a high effect potential for “triggering the triggers”: 1) Legal interventions, 2) Awareness interventions, and 3) Training interventions. The contribution of the article is theoretical: a) providing richer insights into empirical data, by modeling their relationships, and b) predicting the impact of future interventions on the ICT-industry based on our modeled findings.
Embracing the Universal Design for Learning Framework in Digital Game Based Learning
Authors: Cunningham Larkin  , Murphy Orla
Published: February 2025

The Universal Design for Learning (UDL) framework emphasizes multiplicity of representation, expression and engagement to cater for the widest possible set of learning styles and abilities. Digital Game Based Learning (DGBL) can slot into a universally designed approach to education as one of several alternative ways of learning that will suit some learning preferences, such as those who prefer to learn in an active way. However, DGBL can itself encapsulate the principles of UDL if the game designer embraces UDL as a fundamental set of game design principles. This paper discusses, with examples, the ways in which a game designer can universally design a DGBL solution with respect to game mechanics, representation and personalization, with an emphasis on the use of gameplay data for formative and summative evaluation during the design, build and retrospective phases, as well as for adaptive learning and formative feedback during the delivery phase.
Implementing Universal Design and the ICF in Higher Education: Towards a Model That Achieves Quality Higher Education for All
Authors: Bencini Giulia M.L.  , Garofolo Ilaria  , Arenghi Alberto
Published: February 2025

The landmark UN 2030 Agenda for Sustainable Development Goals (SDGs) for the first time explicitly makes reference to the inclusion of the needs and capacities of all persons, on equal grounds, in the planning of our built environment and services (Goal 11) and in our quality educational systems (Goal 4). Accessibility and inclusion of all people in vulnerable situations, including people with disabilities, provides a strong benchmark for sustainability. Accessibility and Inclusion in higher education are the topic of an increasing number of studies, however, there is no existing common set of multidomain indicators for Inclusion available to the multiple stakeholders involved in higher education. The purpose of this paper is to fill this gap. With a Universal Design approach and the common language of the ICF we aim to provide a multi-dimensional assessment and planning tool to quantitatively and qualitatively measure Inclusion of environments and services in Higher Education.
University for All: Embedding and Mainstreaming Equality of Access, Participation and Success in Higher Education
Authors: Kelly Anna M.  , Padden Lisa
Published: February 2025

This paper describes University for All – a whole-institution initiative undertaken by University College Dublin to move student access, participation and success from the margins to the mainstream. This initiative extends access beyond entry, to include access to an inclusive learning environment, designed for the full range of human diversity, rather than a perceived notion of a typical or so-called ‘traditional’ student. The University for All approach requires that programmes, teaching, student supports, and campus facilities are designed inclusively, so that they can be accessed, understood and used to the greatest extent possible, by all students, regardless of background, personal circumstances, age, disability, or pace of study. This paper documents the implementation of this whole-institution initiative, offering insights into this change journey, and outlining the lessons learnt and challenges encountered.
Transforming the Higher Education Experience of Students with Disabilities Through Innovative System Design and Accessible Data Visualisation
Authors: Fleming Bairbre  , Tonge Julie
Published: February 2025

This paper will outline the systematic approach taken in University College Dublin to ensure that students with a disability are adequately supported and have full and equal access to their chosen college course. UCD were early adopters of the mainstreaming model recognising that specialist services could not adequately support the increasing numbers of students declaring a disability and that a whole college approach was required. This paper describes the opportunistic changes to a student support structure that have consolidated mainstreaming and enhanced supports for students with disabilities in a large Irish university Giving responsibility to specific roles throughout the college and sharing information in a systematic way ensures that consideration is given to all students with disabilities and not just those who have a visible disability or have the confidence to make themselves known to faculty and other staff. Knowledge of the diversity in the classroom has encouraged faculty to consider Universal Design in the construction and delivery of their courses and pockets of good practice have led to widespread recognition that this approach is not only beneficial to students with disabilities, but the entire student population which is becoming increasingly diverse. The systems we will describe include an integrated student record and Needs Assessment, the use of class lists to share information to target groups and a sophisticated exam reporting system, all of which have led to a streamlined service with minimal administrative requirements. We will also describe the business intelligence tools used to provide a visual representation of Widening Participation data for individual programme areas which ensures that College Principles are cognisant of their progress relative to national targets and where resources should be focused.
Interculturalism in Higher Education in Ireland: An Analysis from a Strategy, Policy and Practice Perspective
Authors: Ni Chonaill Bríd
Published: February 2025

Education is instrumental in preparing students to participate in increasingly diverse Irish, European and global societies, with higher education having a part to play in the process. Issues around migration and cultural diversity have gained less attention in the higher education sector in Ireland than at primary and post primary level with a few notable exceptions. Higher education is regarded as having a “critical role” to play in terms of “enriching Ireland's cultural life, nurturing our understanding of our own national identity and that of other cultures and belief systems” [1]. Influenced by developments at European Union level, the approach adopted to cultural diversity in Ireland is one of interculturalism. This paper aims in the first instance to analyse the application of interculturalism in the Irish higher education sector from a strategy and policy perspective. It briefly traces the promotion of interculturalism as a policy response to cultural diversity at a European level, before highlighting a number of the concept's salient characteristics. The second part of the paper analyses the implementation of interculturalism in the Irish context. While critically reflecting on the higher education setting as a site where interculturalism can be put into practice, the focus is placed specifically on the question of language and the need to take it into consideration.
When Trustworthy Information Becomes Inaccessible: The Search Behaviour of Users with Dyslexia in an Online Encyclopedia
Authors: Kvikne Birgit  , Berget Gerd
Published: February 2025

The ability to search for trustworthy information has become increasingly important. Access to information is key for a democratic, inclusive society. However, poorly designed search user interfaces exclude certain user groups. For instance, search systems with high demands for correctly spelled queries have been reported to be challenging for people with reading and spelling difficulties, such as dyslexia. In a qualitative pre-study, four adults with dyslexia were interviewed about their search experiences in an encyclopedia with low tolerance for spelling errors. The participants regarded the encyclopedia as highly credible and preferred using this source for factual queries. Nevertheless, the users with dyslexia were highly dependent on Google due to high spelling demands in the encyclopedia search interface. Although the participants found relevant information on Google, they reported the search process as tiresome, since the result list assessment required a significant amount of reading. In contrast, searching the encyclopedia provided direct access to neutral, evaluated information, thus removing the evaluation phase. Moreover, searching was frequently associated with feelings such as fatigue, frustrations and failure. Results from this study imply that search user interface design affects the information searching behavior of people with dyslexia.
Study on Conjugate Problems of Fuzzy Mappings
Authors: Bao Yu-e  , Li Na  , Li Tingting
Published: February 2025

First, a new definition of conjugate mapping concept for convex fuzzy mapping is given in this paper, which is more reasonable than the concept in the literature. Then, we prove that the secondary conjugate mapping of convex fuzzy mapping is convex fuzzy mapping and that the relationship between two convex fuzzy mappings and their intimal convolution's conjugate mappings. Besides, the definition of conjugate mapping for general fuzzy mappings is given, which is the extension of the concept of conjugate mapping of convex fuzzy mapping. Moreover, we prove that conjugate mapping is convex mapping and that secondary conjugate mapping is convex fuzzy mapping. Finally, we discuss the relationship between the sub-differential of fuzzy mapping and conjugate mapping and prove some relational expressions.
On Search Spaces of Fractal Nature
Authors: Kaliciak Leszek  , Myrhaug Hans  , Goker Ayse
Published: February 2025

In this paper we discuss the search spaces of fractional/fractal dimensions and some of the problems where such spaces may emerge. We also consider relationships between Cantor set and probabilistic spaces, and the potential application of Cantor Dust as a combination of probability trees to create hybrid models. We believe that such considerations can be useful when developing new optimisation models over the spaces of standard or fractional dimensions.
Predicting Water Evaporation Using Multilayer Perceptron Neural Network
Authors: Aljumaa Eman  , Salman Ayed  , Alotaibi Sorour
Published: February 2025

Understanding and predicting water evaporation patterns and factors is a critical issue in places in the world where water is a rare commodity, tropical countries which have large surface of water and high temperatures, or in desert countries with very high temperatures almost all over the year such as the state of Kuwait. Understanding different patterns of evaporation rate process is necessary as well as important. Previous literatures mainly focus onto using deterministic approach in understanding such patterns and favoring approximating its behaviors using concrete estimated equations. One of the most promising areas of understanding stochastic patterns from data like this is machine learning. This paper uses real data of different related attributes collected from the environment of the state of Kuwait to build, train, and test an accurate behavioral model created by different machine learning algorithms to do prediction of such process. In this paper, the process of predicting water evaporation rate was formed into two types of problems: classification and prediction. The paper used multilayer perceptron neural network for the prediction purpose. Experiments show very promising and superior results.
Performance Evaluation of Deep Learning Stock Price by Chart Type for Buying Policy Verification
Authors: Song Yoojeong  , Lee Jongwoo
Published: February 2025

Recently, deep learning has been widely applied to various fields, and various researches are being conducted in the stock price prediction. The study of stock price prediction is mainly composed of studying the structure of learning model, performance evaluation according to input features, and generating profit rate using stock price prediction model. Stocks range from very volatile stocks to stable stocks. Therefore, appropriate prediction models will be needed for each stock group. In this paper, we collected stocks by chart type using advanced filtering technology. There are three types of charts, and deep learning were conducted for each type. We experimented to see which chart types have the best prediction performance. As a result, the Nosedive chart shape showed the highest prediction performance in the others
Bearing-only Based Single Target Localization Algorithm in MIMO System
Authors: Zhao Chuang  , Zhao Yongjun  , Chen Shiwen
Published: February 2025

In this paper, a weighted least squares method with weighted matrix designed specially is presented to solve the single target location problem in MIMO system. Firstly the model of localization is constructed in MIMO system based on the topology of system. One weighted matrix designing methods are discussed to solve the problem under low angle measure errors condition. The conclusion is that this method is the maximum likelihood estimation for single target location. The validity and advantages are proved by simulation. Under the scenario of one transmitter and three receivers, the different placements of receivers are simulated and the best configuration is also determined.
Text Mining – A Key Lynchpin in the Investment Process: A Survey
Authors: Konstantinidis Athanasios  , Scalzo Dees Bruno  , Calvi Giuseppe G.  , Mandic Danilo P.
Published: February 2025

Text mining applications in the investment process involves a complex interaction between computational linguistics, natural language processing (NLP) and the know-how of the financial aspects. Given the progress in big data and multimodal data fusion, this state-of-the-art survey provides a timely consolidation of this ever evolving topic, together with new perspectives on the acquisition, input, variable relevance, feature extraction, fusion, and decision making based on a conjoint treatment of text and standard financial variables. Such an insight is then used as a basis to introduce an overarching framework for text-based big data in the investment process. The proposed approach is both novel and flexible, making it possible to be seamlessly employed across a variety of investable assets, including stocks, credit instruments, rates, FX and market indices. Another unique aspect is its modularity, whereby both emerging techniques in signal processing and machine learning, as well as traditional econometric techniques, are readily incorporated and combined towards the informed decision. Another virtue of the proposed concept is its ability to identify the semantic nature (context) of the source, even for general text-based sources (financial reports, social media, market news) while at the same time maintaining investors intuition, as news do affect asset prices and market moves. An example of a recent stock market performance during a company takeover process demonstrates the advantages of the proposed framework.
Android Robotics and the Conceptualization of Human Beings: The Telenoid and the Japanese Concept of Nature
Authors: Nørskov Marco  , Yamazaki Ryuji
Published: February 2025

For decades Japan has been a first-mover and pacemaker with respect to the development of humanoid and android robots. This conceptual paper demonstrates how a particular android robot, the Telenoid, can be embedded within, and interpreted relative to, a Japanese conception of nature where, as pointed out by the literature, the artificial is not opposed to nature and where conventionalized idealizations in general are cherished over the original state of nature. The following three relational aspects will be used to compare this idea of nature with central design hypotheses pertaining to the Telenoid robot: (i) deliberate minimalization, (ii) enhanced access to an ideal state, and (iii) taming the wild.
Making Explainable Recommendations Within an Intelligent Information System
Authors: Goan Terrance
Published: February 2025

The development of methods that can generate compelling and accurate explanations of machine learning models and their predictions would mark a major advance in the state of the art by enabling developers and end users to detect model shortcomings, understand why predictions are made, and enable rich human-automation dialog. In our ongoing research, we seek to make contributions in three areas. First, our system utilizes abductive inference to produce more compelling and accurate explanations than prior methods. Second, our approach fully integrates explanations as actionable tools within a recommendation system. Third, accumulated feedback and abductive reasoning support the discovery of new features that hold the potential for improving subsequent rounds of machine learning.
Query Generation for Patent Retrieval with Keyword Extraction Based on Syntactic Features
Authors: Rossi Julien  , Kanoulas Evangelos
Published: February 2025

This paper describes a new method to extract relevant keywords from patent claims, as part of the task of retrieving other patents with similar claims (search for prior art). The method combines a qualitative analysis of the writing style of the claims with NLP methods to parse text, in order to represent a legal text as a specialization arborescence of terms. In this setting, the set of extracted keywords are yielding better search results than keywords extracted with traditional method such as tf-idf.
Chronicle of a Clash Foretold: Blockchains and the GDPR's Right to Erasure
Authors: Pagallo Ugo  , Bassi Eleonora  , Crepaldi Marco  , Durante Massimo
Published: February 2025

GDPR abiding blockchain systems are feasible. Jurists, programmers, and other experts are increasingly working on this aim nowadays. Still, manifold blockchain networks functioning out there suggest a new generation of data protection issues brought about by this technology. Some of these issues will likely concern the right to erasure set up by Art. 17 of the EU data protection regulation (‘GDPR’). These cases will soon be discussed before national authorities and courts, and will likely test the technical solutions explored in this paper, such as hashing-out methods, keys destruction, chameleon hash functions, and more. By taking into account matters of design and the complex architecture of blockchains, we shall distinguish between blockchains that have been thought about to expressly meet the requirements of the EU regulation, and blockchains that, for one reason or another, e.g. ante GDPR designed blockchains, trigger some sort of clash with the legal order, that is, (i) matters of principle on e.g. political decentralization; (ii) standards on security and data protection; (iii) a mix of them; and, (iv) social clash. It is still unclear how the interplay of legal regulation, technological constraints, social norms, and market interests, will end up in this context. Rulings and court orders will be instructive. It is a clash foretold, after all.
Self-Check Design for Embryonic Electronic Cell
Authors: Wang Bo  , Meng Yafeng  , Ren Hongwei
Published: February 2025

According to the multiple configuration and fault propagation, embryonic electronic cell fault detection is hard and detection rate is low. Therefore, an on-line self-check method for embryonic electronic cell based on encoding fault detection is advanced. First, each module of embryonic electronic cell is detected with parity codes by being compared with configuration information. Next, comparison results are detected. A self-adaption self-check structure based on embryonic electronic cell structure and configuration is designed. The results of simulations in a sequential circuit with single bit fault of the fault set verify the effectiveness of the method.
Level Set Segmentation Methods for fMRI Dataset of Brain
Authors: Chen Yating  , Wang Yu  , Shi Fuqian
Published: February 2025

Functional magnetic resonance imaging (fMRI) combines high-resolution magnetic resonance imaging with neural activity and is widely used in medical image shooting and auxiliary diagnosis for its non-invasive, non-radiation, high spatial resolution and simultaneous imaging of function and morphology. This paper firstly introduces the medical image segmentation methods, and then presents two different level set segmentation methods: the edge-based Distance Regularized Level Set Evolution (DRLSE) Model and the region-based Region Scalable Fitting (RSF) Model. Finally, the simulation experiments are carried out on these two methods for comparative analysis. The results indicated that the proposed two kind of level set based methods performed high effectiveness in medical image segmentation.
The Value of Patient-Peer Support in Improving Hospital Safety
Authors: Haldar Shefali  , Mishra Sonali R.  , Khelifi Maher  , Pollack Ari H.  , Pratt Wanda
Published: February 2025

Healthcare systems worldwide have dedicated several years, special attention, and action toward improving safety for their patients. Although many innovative technological solutions have helped providers reduce medical errors, hospitalized patients lack access to these solutions, and face difficulties in having a proactive role in their safety. In this paper, we examine how patient-peer support can be a valuable resource for patients in the context of hospital safety. Through semi-structured interviews with 30 patients and caregivers at a pediatric and an adult hospital, we identify the potential benefits of incorporating patient-peer support into patient-facing technologies. Facilitating such support can provide patients with new avenues for engaging in, and improving, the quality and safety of their hospital care.
The Use of Head-Worn Augmented Reality Displays in Health Communications
Authors: Hong Kenny  , Sakamoto Yumiko  , Irani Pourang
Published: February 2025

The health industry is always seeking innovative ways to use technology to create or improve the experiences of their professionals. Such improvements are seen in a variety of areas including the analysis of relevant health data and the establishment of new ways of communicating medical education and training. Advancements in head-worn augmented reality displays (HWDs), such as the Microsoft Hololens, present a unique opportunity to leverage technology in the ongoing challenge of creating meaningful and novel educational experiences. This paper will review contemporary HWD technologies, how these technologies are being used to enhance the work-training environment, and how these technologies might enhance the communication of health professionals.
A Hadoop/MapReduce Based Platform for Supporting Health Big Data Analytics
Authors: Kuo Alex  , Chrimes Dillon  , Qin Pinle  , Zamani Hamid
Published: February 2025

In this paper, we report our practical experience in designing and implementing a platform with Hadoop/MapReduce framework for supporting health Big Data Analytics. Three billion of emulated health raw data was constructed and cross-referenced with data profiles and metadata based on existing health data at the Island Health Authority, BC, Canada. The patient data was stored over a Hadoop Distributed File System to simulate a presentation of an entire health authority's information system. Then, a High Performance Computing platform called WestGrid was used to benchmark the performance of the platform via several data query tests. The work is important as very few implementation studies existed that tested a BDA platform applied to patient data of a health authority system.
Towards Developing an eHealth Equity Conceptual Framework
Authors: Antonio Marcy G.  , Petrovskaya Olga
Published: February 2025

Early implementation of electronic health records and patient portals had great promise of addressing the widening disparities in health. However, recent research has found that not only are these disparities persisting, but the differences in health outcomes between populations are increasing. Addressing this gap specific to ehealth calls for attention to health equity. Health equity approaches reveal the systematic and societal structures that contribute to preventable and unjust outcomes for different populations. To conceptualize and apply a health equity approach within ehealth, we propose the eHealth Equity Framework (eHEF). Derived from the World Health Organization's conceptual framework for actions on the social determinants of health, eHEF can be useful for public health practitioners, researchers, policymakers and information technology designers to keep health equity agenda at the forefront of all stages of health information technology lifecycle.
Applying the Effective Technology Use Model to Implementation of Electronic Consult Management Software
Authors: Lesselroth Blake  , Adams Kathleen  , Mastarone Ginnifer  , Tallett Stephanie  , Ragland Scott  , Laing Amber  , Yang Jianji
Published: February 2025

Theoretical models of technology acceptance are critical to scope projects, select interventions, and measure adoption. We describe use of the Effective Technology Use (ETU) model in the design and deployment of software supporting electronic consult management. We applied the model to four project phases: (1) needs assessment; (2) software design; (3) deployment; and (4) uptake assessment. In this paper, we describe how we used the ETU to plan stakeholder meetings, conduct usability simulations, and organize findings from a qualitative analysis to identify implementation facilitators and barriers.
Putting Guidelines in the Hands of Patients: A Heuristic Evaluation of a Consumer Mobile Application
Authors: Monkman Helen  , Mavriplis Cleo  , Griffith Janessa
Published: February 2025

Preventive clinical practice guidelines are valuable. However, they are often difficult for primary care providers to implement in the time sensitive primary care setting and alternate approaches warrant exploration. An app called CANBeWell was developed in an effort to allow consumers to identify appropriate guidelines for themselves. Two investigators conducted a heuristic evaluation to identify potential eHealth literacy and usability issues. Several recommendations were made to make CANBeWell easier for consumers to use and understand. CANBeWell is a promising app for deploying preventive guidelines directly to health consumers. Usability testing is planned for the next iteration to ensure that this app meets the needs and capabilities of health consumers.