bluuebunny/crossref_metadata_2025 huggingface dataset:
Adaptive Adjustment of Scanning Angle of Terminal-Sensitive Projectile Based on Double Parameters of the Target
Authors: Li Xingmin  , Zhao Tianli  , Zhu Jun  , Yang Jinwei  , Zhang Hailiang
Published: February 2025

The parameters and rules of steady-state scanning of terminal-sensitive projectile (TSP) are constant, and so for different target parameters, missed scanning or failure to identify the targets may happen. This study proposes a method of adaptive adjustment of scanning angle based on double parameters of the target, namely, speed and length. A relational model of the target of TSP was built. Then the initial scanning angle and the scanning angle at steady-state scanning are determined using MATLAB. Simulation results show that our method achieves a fast adjustment of the scanning angle with an increase in the scanning efficiency. Using this method, TSP can timely identify the targets. Our findings provide theoretical basis and data for the design of TSP.
Visualising the Topological Structure of Health-Related Message Board User Networks
Authors: Abdollahyan Maryam  , Mondragón Raúl J.  , Bessant Conrad  , Smeraldi Fabrizio
Published: February 2025

Health-related message boards are common digital health platforms with great practical and sociological relevance. In this work, we present an investigation of the topological structure of interactions in such forums. We visualise the interactions among users and between users and forum administrators using a simple yet effective network visualisation tool called the Bitmap of Sorted Adjacency Matrix (BOSAM) algorithm. We apply the BOSAM algorithm to six health-related message boards of various scopes and sizes. The outcome reveals major differences between the user interaction networks of these forums. The results of our analysis correlate closely with the characteristics of the respective message boards, including their topic coverage, presence of user communities, commercial or community nature and management style.
Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases
Authors: van Veen R.  , Talavera Martinez L.  , Kogan R.V.  , Meles S.K.  , Mudali D.  , Roerdink J.B.T.M.  , Massa F.  , Grazzini M.  , Obeso J.A.  , Rodríguez-Oroz M.C.  , Leenders K.L.  , Renken R.J.  , de Vries J.J.G.  , Biehl M.
Published: February 2025

Alzheimer's disease (AD) and Parkinson's disease (PD) are two common, progressive neurodegenerative brain disorders. Their diagnosis is very challenging at an early disease stage, if based on clinical symptoms only. Brain imaging techniques such as [18F]-fluoro-deoxyglucose positron emission tomography (FDG-PET) can provide important additional information with respect to changes in the cerebral glucose metabolism. In this study, we use machine learning techniques to perform an automated classification of FDG-PET data. The approach is based on the extraction of features by applying the scaled subprofile model with principal component analysis (SSM/PCA) in order to extract characteristics patterns of glucose metabolism. These features are then used for discriminating healthy controls, PD and AD patients by means of two machine learning frameworks: Generalized Matrix Learning Vector Quantization (GMLVQ) with local and global relevance matrices, and Support Vector Machines (SVMs) with a linear kernel. Datasets from different neuroimaging centers are considered. Results obtained for the individual centers, show that reliable classification is possible. We demonstrate, however, that cross-center classification can be problematic due to potential center-specific characteristics of the available FDG-PET data.
A Semantic-Associative Computing System with Multi-Dimensional World Map for Ocean-Environment Analysis
Authors: Kiyoki Yasushi  , Chen Xing  , Veesommai Chalisa  , Wijitdechakul Jinmika  , Sasaki Shiori  , Koopipat Chawan  , Chawakitchareon Petchporn
Published: February 2025

Semantic computing integration with deep-learning realizes a new artificial brain-memory system. We have presented a concept of “MMM: Semantic Computing System” for analyzing and interpreting environmental phenomena and changes occurring in the oceans and rivers in the world. We also introduce the concept of “SPA (Sensing, Processing and Analytical Actuation Functions)” for realizing a global environmental system, to apply it to Multi-dimensional World Map (5-Dimensional World Map) System. This concept is effective and advantageous to design environmental systems with Physical-Cyber integration to detect environmental phenomena as real data resources in a physical-space (real space), map them to cyber-space to make analytical and semantic computing, and actuate the analytically computed results to the real space with visualization for expressing environmental phenomena, causalities and influences. This paper presents integration and semantic-analysis methods for KEIO-MDBL-UN-ESCAP Joint system for global ocean-water analysis with Coral-Image Analysis in two environmental-semantic spaces with water-quality and image databases. We have implemented an actual space integration system for accessing environmental information resources with water-quality and image analysis. We clarify the feasibility and effectiveness of our method and system by showing several experimental results for environmental medical document data Environmental-semantic space integration realizes deep analysis environmental phenomena and situations. The essential computation in environmental study is context-dependent-differential computation to analyze the changes of various situations (air, water, CO2, places of livings, sea level, coral area, etc.). It is important to realize global environmental computing methodology for analyzing difference and diversity of nature and livings in a context dependent way with a large amount of information resources in terms of global environments. In the design of environment-analysis systems, one of the most important issues is how to integrate several environmental aspects and analyze environmental data resources with semantic interpretations. In this paper, we present an environmental-semantic computing system. Our environmental-semantic computing system realizes integration and semantic-search among environmental-semantic spaces with waterquality and image databases.
A Multi-Parameterized Water Quality Prediction Method with Differential Computing Among Sampling Sites
Authors: Ladsavong Khoumkham  , Chawakitchareon Petchporn  , Kiyoki Yasushi
Published: February 2025

This paper presents a multi-parameterized water quality prediction method with differential computing among sampling sites at Bangkok City, Thailand. Here, two canals were selected for case study and nine parameters were chosen for water quality prediction, they are Temperature, pH, DO, BOD, COD, NH3-N, NO2-N, NO3-N, and TP. The data obtained from 2007 to November 2017. The differential computing is chosen to predict the parameters along sampling sites. The results are indicated the predictive values of temperature and pH are entirely accurate than another parameter because the error values are low values and both parameters are slightly changed from the past up to present. Therefore, the differential computing possibly uses to predict some water quality parameters which they are quite stable conditions.
Emotion-Expression Robot with Global Evaluation Reflecting Multiple and Heterogeneous Sensing Elements
Authors: Itabashi Yoshiko  , Kiyoki Yasushi
Published: February 2025

A new generation robot for communication is expected to have various abilities related to changing the expression of emotion. There are many factors related to human sensitivities that affect emotional expression, and their relationships are complicated. Moreover, emotional expression should change according to the purpose of the application. In order to realize programmable emotional expression, we proposed a method using global evaluation for the heterogeneous sensing elements in a Kansei space for expression. The important feature of our system was that it realized an emotion-expressing robot with sentence-unit-based emotion analysis. Various emotional expressions were generated from the results of evaluation. We conducted verification experiments and obtained good evaluations of emotional expression changes and the ease of making settings.
Prediction Model of Accumulated Weight in Truck During Sugarcane Harvesting
Authors: Saengprachatanarug Khwantri  , Wongphichet Seree  , Tosoongneun Janpen
Published: February 2025

This research aims to develop the accumulated weight monitoring system equipped with truck for sugarcane harvesting. The signals were collected from load cell and calculated the accumulated weight using prediction model consisted of the weight percentage exerting on the sensors by the total weight on the container (%Rwp) and the proportion of load bearing of sensors in each position (Parameter, P). The %Rwp was 25.46% obtained from simulation truck in a laboratory, while the P was calculated from force balancing. Refer to the field experiment in actual harvesting, the prediction error of the 2-sensor type and 4-sensor type were 2.51% and 0.38% respectively.
In vitro Coral Bleach Observation Using an RGB-IR Camera
Authors: Sa-Ngadsup Pracharat  , Kiyoki Yasushi  , Koopipat Chawan
Published: February 2025

As global warming is worsening recently, coral bleaching is also happening more frequently because corals are sensitive to temperature change. Consequently, the need to study and monitor coral reefs is rapidly increasing in order to better understand the impact of environmental change on ocean ecology. There are two major approaches to monitoring coral reef. First, remote sensing, by using satellite imagery and/or aerial photography coral can be studied in large quantity in a very short period of time. The downside of this approach is that images obtained by satellite normally do not have enough spatial resolution and its images are not able to record very deep underwater objects. The second approach is using a diver to perform a detailed investigation of coral reef, which gives a lot more detail, but this approach is very time-consuming and expensive. Our aim is to use a small, commercially available camera as a tool to automatically monitor coral in real-time with the least possible human intervention. The main purpose of this research is to demonstrate that a consumer camera, with a little modification, can be used to detect coral bleaching. The modification was done so that the camera can record images in near-infrared range, which is important for coral detection.
E-Science and the Law. Three Experimental Platforms for Legal Analytics
Authors: Lettieri Nicola  , Guarino Alfonso  , Malandrino Delfina
Published: February 2025

The paper presents three experimental platforms for legal analytics, online environments integrating heterogeneous computational heuristics, information processing, and visualization techniques to extract actionable knowledge from legal data. Our goal is to explore innovative approaches to issues spanning from information retrieval to the quantitative analysis of legal corpora or to the study of criminal organizations for research and investigative purposes. After a brief introduction to the e-science paradigm and to the role played in it by research platforms, we focus on visual analytics as a viable way to interact with legal data. We then present the tools, their main features and the results so far obtained. The paper ends up with some considerations about the computational turn of science and its role in promoting a much needed interdisciplinary and empirical evolution of legal research.
Linear Stability Analysis of a Cooperative Adaptive Cruise Control System Based on Intelligent Driver Model
Authors: Li Ye
Published: February 2025

This paper develops a cooperative adaptive cruise control (CACC) model based on the intelligent driver model (IDM), which incorporates the communicative information of both the leading vehicle and the immediate predecessor. Then, the linear stabilities of the proposed model are theoretically analyzed and numerically simulated. The result shows that compared to models proposed by previous studies, the improvement of traffic flow stability is obtained by taking into consideration the communicative information of the leading vehicle in our paper. The numerical simulations also verify the theoretical results, which indicates the proposed CACC model benefits for linear stability.
Leukocyte Nuclei Segmentation Using Entropy Function and Chan-Vese Approach
Authors: Dey Nilanjan  , Shi Fuqian  , Rajinikanth V
Published: February 2025

Image investigation is a significant procedure in medical discipline during the infectious sickness and its harshness examination. If the reason of disease is recognized in its early stage, possible treatment can be planned to cure the patient. The proposed work implements a semi-automated technique to appraise images of Peripheral-Blood-Cell (PBC) recorded with digital microscope. The PBC is a proven procedure to investigate Leukocyte. This work integrates the Social-Group-Optimization plus Shonnon's Entropy (SGO+SE) based thresholding and Chan-Vese Segmentation (CVS) to extract the stained section from PBC picture. This tool is tested using the Leukocyte-Images for-Segmentation-Classification (LISC) by considering its RGB scale pictures. The advantage of this tool is confirmed with a comparative investigation between the extracted PBC segment and the ground-truth. This approach offers an enhanced image similarity measure (>90%) on the LISC dataset. This confirms that, this tool can be used to examine clinical PBC pictures.
Prediction of Passenger Traffic Volume Sharing Rate Based on Logit Model
Authors: Wang Rong  , Zhang Tong  , Liu Song  , Zhang Zeying
Published: February 2025

Inter-city railways facilitate the accumulation of labor and capital in the site areas through high-speed, large-capacity transportation, accelerating the industrialization and urbanization in these areas. In this paper, the logit model is used to calculate the sharing rate of various modes of transportation in the intercity transportation channel, and the utility function model is established. The parameters are determined by linear regression method combined with questionnaire data. Then the model was applied to the inter-city channel of Changsha, Zhuzhou and Xiangtan for empirical analysis. It is calculated that the passenger transfer rate of the intercity railway in this channel is 30.89% (low plan) and 32.86% (high plan) in 2018; the passenger transfer rate in 2020 is 37.21% (low plan) and 39.58% (high plan). The passenger traffic volume of the Changsha-Zhuzhou-Xiangtan inter-city railway in 2018 and 2020 is forecasted and analyzed. The sensitivity analysis of the sharing rate and passenger flow growth is based on the fare, departure interval, travel time and connection time. It provides a theoretical basis for the future adjustment of the Changsha-Zhuzhou-Xiangtan inter-city railway.
Structural Failure Prediction in Multi Storied Reinforced Concrete Buildings Using Cuckoo Search Optimization Combined with Neural Network
Authors: Chatterjee Sankhadeep  , Dey Nilanjan  , Ashour Amira S.  , Sen Soumya  , Shi Fuqian
Published: February 2025

Structural failure classification for the reinforced concrete (RC) buildings is one of the machine learning challenging tasks. Several successful studies were conducted to train the Neural Network (NN) with well-known optimization techniques. In the current work, a cuckoo search (CS) based classification model of structural failure of the RC buildings was proposed. The proposed NN-CS system was compared to well-known models, namely the Multilayer perceptron feed-forward network (MLP-FFN) trained with scaled conjugate gradient descent and the NN supported by the Particle swarm optimization algorithm (NN-PSO). The performance metrics, including the accuracy, precision, recall, and F-measure were calculated. The experimental results established the superiority of the proposed NN-CS with reasonable improvement (93.33% accuracy) compared to the other models.
Review of Mobile Apps for Prevention and Management of Opioid-Related Harm
Authors: Aggarwal Monica  , Borycki Elizabeth M.
Published: February 2025

Opioid-related harm is a major public health concern in Canada and abroad. There is a growing market of mobile apps that focus on preventing and managing opioid-related harm. The use of mobile health technologies is a promising intervention that can assist with addressing the problem. The aim of this paper is to examine the current state of the mobile app market with respect to prevention and management of opioid-related harm. This will involve a review currently available opioid apps for the major operating systems (iOS, Android, Windows CE and BlackBerry OS) and examine the number of released apps, service providers, operating systems, target user groups, purpose of app, range of features, location, use of evidence, interface, languages, cost and licensing model, and user ratings.
Electronic Physician Profiles: Developing an Interactive Web-Based Report for Physicians at Island Health
Authors: McEwen Lisa M.  , O'Donnell Jay C.  , Lifoawing Laura  , Matias David  , Wagar Brandon
Published: February 2025

Evidence based measurement is accepted as an important aspect of quality improvement. Making this data available to physicians to support them in quality improvement and to inform their practice presents a broad range of challenges. Addressing these challenges requires a solution that allows physicians to leverage the data repositories in the Enterprise Data Warehouse to develop and use evidence based clinical measures using an interactive, user-friendly, and secure infrastructure. In this talk, we discuss key aspects of the development of an interactive web-based report for physicians at Island Health, and present the final product. Given the privacy and security issues surrounding this type of data, a mock profile will be presented, rather than true results for actual physicians.Here, we have developed an initial prototype of a physician level report delivered via Microsoft Power BI as a possible dynamic tool to share these important data.
Evaluation of Technology Use in an Inter-Disciplinary Patient-Centered Health Care Team
Authors: Smaradottir Berglind F.  , Fensli Rune W.
Published: February 2025

Health care services are facing challenges with carrying out individualised treatment to an ageing population prone to chronic conditions and multi-morbidities. The research project Patients and Professionals in Productive Teams aims to study different patient-centered teamwork service models. This paper presents an evaluation on the technology support in a patient-centered health care team providing services to elderly people with chronic conditions and multi-morbidities in the transition from hospital to a home setting. The team had employees both from a university hospital and municipal health services. Qualitative research methods were applied in the evaluation of the technology use and information flow. The results showed that two information systems were used, that were not integrated and caused double manual work and registrations by the health care professionals. A benefit was that information sharing was improved between the hospital and municipal health care services, but the constraint was added workload.
Using Simulation Technology to Improve Patient Safety in Airway Management by Practicing Otolaryngologists
Authors: Sommerfeld Connor  , Scott Grace  , Fung Kevin  , Hp Nguyen Lily  , Viallet Norbert  , Deutsch Ellen  , Gooi Adrian
Published: February 2025

Objective: Simulation technology provides a safe environment to learn crisis resource management in stressful clinical scenarios, such as the acute airway. While a number of surgical simulation studies have assessed trainees, there remains a paucity of data on simulation benefits for practicing physicians. The objective of this study was to investigate the impact of a simulation symposium on airway management for practicing otolaryngologists.
Cancer Phenotype Development: A Literature Review
Authors: Wang Pei  , Garza Maryam  , Zozus Meredith
Published: February 2025

EHR-based, computable phenotypes can be leveraged by healthcare organizations and researchers to improve the cohort identification process. The ability to identify patient cohorts using aspects of care and outcomes based on clinical characteristics or diagnostic conditions and/or risk factors presents opportunities to researchers targeting specific populations for drug development and disease interventions. The objective of this review was to summarize the literature describing the development and use of phenotypes for cohort identification of cancer patients. A survey of the literature indexed in PubMed was performed to identify studies using EHR-based phenotypes for use in cancer studies. Specific search criteria were formulated by leveraging a phenotype identification guideline developed by the Phenotypes, Data Standards, and Data Quality Core of the NIH Health Care Systems Research Collaboratory. The final set of articles was examined further to identify 1) the cancer of interest and 2) the different approaches used for phenotype development, validation and implementation. The articles reviewed were specific to breast cancer, colorectal cancer, ovarian cancer, and lung cancer. The approaches taken for phenotype development and validation varied slightly among the relevant publications. Four studies relied on chart review, three utilized machine learning techniques, one took an ontological approach, and one utilized natural language processing (NLP).
Data for Adherence Decision Support
Authors: Diemert Simon  , Weber Jens  , Price Morgan  , Bannman Jordan
Published: February 2025

Technological interventions aimed at addressing medication non-adherence have shown some promise but do not deliver the full potential of an Internet of Things based Adherence Decision Support (ADS) system due, in part, to a lack high-resolution definition and measure of adherence. This paper presents a novel methodology and pilot study aimed at collecting data to support an AI-based measure of adherence. The pilot study results demonstrate the viability of the methodology and that a full-scale study could provide meaningful data to support to an AI-based ADS system.
Death: The Simple Clinical Trial Endpoint
Authors: Eisenstein Eric L.  , Prather Kristi  , Greene Stephen J.  , Harding Tina  , Harrington Amanda  , Gabriel Davera  , Jones Ingrid  , Mentz Robert J.  , Velazquez Eric J.  , Anstrom Kevin J.
Published: February 2025

Death, as a biological phenomenon, is well understood and a commonly employed endpoint for clinical trials. However, death identification and adjudication may be difficult for pragmatic clinical trials (PCT) that rely upon electronic health record and patient reported data. We propose a novel death identification and verification approach that is being used in the ToRsemide compArisoN with furoSemide FOR Management of Heart Failure (TRANSFORM-HF) PCT. We describe our hybrid approach that includes gathering information from clinical trial sites, a centralized call center, and National Death Index searches. Our methods detail how a possible death is triggered from each of these components and the types of information we require to verify a triggered death. Our different trigger/verification elements collectively define the TRANSFORM-HF PCT's definition of a death event.
Guarino's Possibilism
Authors: Galton Antony
Published: February 2025

In this paper I examine Guarino's recent tensed account of the semantics of ongoing and future occurrence identifiers, with an emphasis on placing his proposals in the context of the doctrines of eternalism, possibilism and presentism that have been variously espoused by philosophers of time.
Carnapian Engineering
Authors: Varzi Achille C.
Published: February 2025

Ontology has come to gain huge currency in the information sciences, with techniques, applications, and results vastly exceeding the traditional concerns of philosophy. How did that happen? Where are we heading to? I do not have the answers. But I know what it took and what is needed. It took—and we need—the skills of a good Carnapian engineer, someone capable and willing to build bridges across fields even though each side regards them as a troublesome intruder.
Evaluation of Patient's Attitude Towards Computer Supported History Taking
Authors: Hauber Roman  , Schirm Maximilian  , Herrmann Felix  , Puppe Frank
Published: February 2025

We provide a highly integrated tool to conduct dynamic, multilingual anamnesis interviews with patients to enhance documentation and provide physicians with more time for patient interaction in an outpatient setting. A first analysis of patients' satisfaction with the user interface shows a high rate of acceptance and prompts further research.
Evaluation of a Patient-Facing Digital Prototype for Perioperative Risk Assessment
Authors: Mang Jonathan  , Schild Stefanie  , Prokosch Hans-Ulrich  , Jeleazcov Christian  , Heinrich Anne  , Toddenroth Dennis
Published: February 2025

Preparations for anesthesiological management of patients build on preoperative patient self-reports concerning risk factors and comorbidities. In this setting, electronic documentation could facilitate innovative computerized functions, although patient-facing digital questionnaires require appropriate tools that patients can access effectively. To explore the feasibility of an electronic application for preoperative data acquisition directly from patients, a digital, tablet-based prototypical application has been developed within a user-centered design process in order to replace a previously used paper-based anamnesis sheet for perioperative risk evaluation. The implemented prototype has been extensively tested and iteratively improved to progressively provide an easy-to-use data entry function. To assess the suitability of this tool for everyday data acquisition by patients and physicians and to identify usability problems, the stepwise development process was accompanied by a heuristic evaluation as well as a think-aloud evaluation, while another 56 participating patients completed a feedback sheet according to ISO 9241/10. The latter method detected additional usability problems that occurred during the use of the application, which contributed to iterative improvements of the prototype. Throughout the development process, 81 issues were identified and largely resolved. After these revisions of the prototype, the number of problems found per tester decreased from 4.75 to 0.96, while the overall rating increased to 6.14 out of 7 points (SD = 1.2). These improvements demonstrate the value and efficiency of such a user-centered design process and illustrate that a user-friendly patient-facing digital data entry can replace preoperative paper questionnaires for anesthesiological management.
Scenarios for Using OpenClinica in Academic Clinical Trials
Authors: Löbe Matthias  , Meineke Frank  , Winter Alfred
Published: February 2025

Clinical Data Management Systems (CDMS) are used to electronically capture and store data about study participants in clinical trials. CDMS tend to be superior compared to paper-based data capture with respect to data quality, consistency, completeness and traceability. Nevertheless, their application is not default – especially in small-scale, academic clinical studies. While clinical researchers can choose from many different software vendors, the vast requirements of data management and the growing need for integration with other systems make it hard to select the most suitable one. Additionally, the financial and personnel costs for purchasing, deploying and maintaining a commercial solution can easily go beyond the limits of a research project's resources. The aim of this paper is to assess the suitability of the web-based open-source software OpenClinica for academic clinical trials with regards to functionalities required in a large research network.
mHealth4Afrika: Supporting Standards Based Integration of Medical Sensor Data
Authors: Baskaya Mert  , Yuksel Mustafa  , Laleci Erturkmen Gokce Banu  , Cunningham Miriam  , Cunningham Paul
Published: February 2025

mHealth4Afrika has introduced the use of CE approved medical sensors at the point of care in primary healthcare facilities in Africa as part of an integrated platform supporting primary health care services. This paper shares insights into the standards-based architecture and HL7 FHIR service developed to support data transfer from sensors with proprietary standards to populate the mHealth4Afrika electronic patient record via custom Android and Windows applications. The current iteration is being validated in healthcare facilities in Ethiopia, Kenya, Malawi and South Africa.
Using the Recommendations Inferred by a Decision Support System to Compare Breast Cancer Clinical Practice Guidelines
Authors: Seroussi Brigitte  , Prebet Coralie  , Ngo Charlotte  , Teixeira Luis  , Guézennec Gilles  , Bouaud Jacques
Published: February 2025

Numerous studies have reported that inconsistencies exist between clinical practice guidelines (CPGs) elaborated on the same topic and at the same date. These results are usually established from the analyses handled on narrative CPGs or on their semi-structured version. In the context of the European-funded DESIREE project, we have developed a guideline-based decision support system embedding various contemporary CPGs on breast cancer management. We have run the GL-DSS on a sample of 571 retrospective clinical cases and specifically assessed the level of inconsistencies between the recommendations issued by the US National Comprehensive Cancer Network (NCCN) Guidelines for Breast Cancer and those issued by Assistance Publique – Hôpitaux de Paris (AP-HP, France) CPGs. We proposed a typology with six different situations from total incompatibility to complete identity as a result of the comparison of NCCN and AP-HP CPGs for each clinical case. It was interesting to observe that we got 38% of inconsistencies with 3% of total incompatibility, and 62% of similarity with 0% of complete identity. The silence of one CPG was resolved by the other CPG providing recommendations in 21% of the cases.
A Mobile Application for Self-Monitoring for Patients with Heart Failure
Authors: Arulnathan Aaganya  , Vaaheesan Sayan  , Denecke Kerstin
Published: February 2025

Patients suffering from heart failure disease have to regularly measure and document health data such as weight and blood pressure. Currently, the data gets lost or is not recorded on a regular basis due to missing reminders and lack of motivation in patients. To address these problems, we introduce a concept for an electronic heart diary (EHD), a mobile application that supports in data collection and motivates the patient. The requirements towards a digital heart diary were collected in discussions with stakeholders in a collaborating hospital. The EHD, allows patients to record their measurement data or even transfer it from a health device to the app. The data is stored in a database that can be accessed with permission of a patient by health professionals through a web application for monitoring purposes. In this way, a worsening of the disease can be detected in an early stage and actions can be taken. This can increase patient safety and prevent rehospitalisation. For motivation and supporting a long-term use of the app, we included methods for gamification and nudging into the application.
Making the Radiology Workflow Visible in Order to Inform Optimization Strategies
Authors: Brodbeck Dominique  , Degen Markus  , Lüthy Rahel  , Heye Tobias
Published: February 2025

Medical imaging is undergoing rapid change, induced by the increasing amount of image data, and advances in fields such as artificial intelligence. In order for a radiology service provider to respond to these challenges, it needs to adapt its workflow. To inform optimization strategies, the way that processes and resources interact in the real world must be understood. We report on our experiences with an approach that consists of merging a variety of data sources into a data model that allows efficient interactive queries, and then providing highly interactive visualizations to explore the data. Two examples are discussed: animation of patient flow through the radiology workflow, and the use of energy consumption patterns to characterize operational modalities.
Exploring the Future Role of Self-Tracking Data in the Rheumatology Clinic
Authors: Hue William  , Jones Simon  , Sengupta Raj
Published: February 2025

Despite enormous growth in the use of consumer self-tracking devices, the data that many patients collect about their condition is seldom integrated into conversations that take place in the clinic. In this paper we explore the potential roles that self-tracking data could play during clinical interactions between patients with Ankylosing Spondylitis (a chronic rheumatic disease) and their clinicians. We develop a model of the data-centric activities that currently take place within the rheumatology clinic, using field observations, and to discuss how self-tracking data may contribute to each of these activities. We also interview two consultant rheumatologists regarding the opportunities and challenges that the use of self-tracking data may bring. We propose four different roles for self-tracking data in the clinic and discuss possible directions for designing to support these roles.
A Comprehensive FXR Signaling Atlas Derived from Pooled ChIP-seq Data
Authors: Jungwirth Emilian  , Panzitt Katrin  , Marschall Hanns-Ulrich  , Wagner Martin  , Thallinger Gerhard G.
Published: February 2025

Background: ChIP-seq is a method to identify genome-wide transcription factor (TF) binding sites. The TF FXR is a nuclear receptor that controls gene regulation of different metabolic pathways in the liver.
Achieving an Interoperable Data Format for Neurophysiology with DICOM Waveforms
Authors: Winkler Silvia  , Huber Martin  , Kluge Tilmann
Published: February 2025

Modern healthcare faces multiple challenges: diagnosis and treatment happens multidisciplinary and distributed. The key principle to accomplish this is interoperability. Some disciplines like radiology are well experienced in interoperable workflows and cross institution data exchange; other disciplines just realize the growing importance. In this paper we analyze the situation in neurology and give an overview of attempts made in the past to establish an interchangeable, interoperable data format for biomedical signal data, which would be suitable for neurology, too. Focusing on EEG data we will discuss how DICOM Waveforms could be used to cover many of the requirements. As a result necessary adaptions and remaining issues are identified. With DICOM Waveforms a specification is available that covers most of the interoperability requirements. With only little adjustments DICOM Waveforms could establish data interoperability in neurology.
A Novel Medical Device for Early Detection of Melanoma
Authors: Afifi Shereen  , Gholamhosseini Hamid  , Sinha Roopak  , Lindén Maria
Published: February 2025

Melanoma is the deadliest form of skin cancer. Early detection of melanoma is vital, as it helps in decreasing the death rate as well as treatment costs. Dermatologists are using image-based diagnostic tools to assist them in decision-making and detecting melanoma at an early stage. We aim to develop a novel handheld medical scanning device dedicated to early detection of melanoma at the primary healthcare with low cost and high performance. However, developing this particular device is very challenging due to the complicated computations required by the embedded diagnosis system. In this paper, we propose a hardware-friendly design for implementing an embedded system by exploiting the recent hardware advances in reconfigurable computing. The developed embedded system achieved optimized implementation results for the hardware resource utilization, power consumption, detection speed and processing time with high classification accuracy rate using real data for melanoma detection. Consequently, the proposed embedded diagnosis system meets the critical embedded systems constraints, which is capable for integration towards a cost- and energy-efficient medical device for early detection of melanoma.
Healthcare Transformation Towards Personalized Medicine – Chances and Challenges
Authors: Blobel Bernd  , Ruotsalainen Pekka
Published: February 2025

The paper introduces a structured approach to transforming healthcare towards personalized, preventive, predictive, participative precision (P5) medicine. It highlights the promising methodological paradigm changes, accompanied by related organizational and technological ones. In the latter context, the deployment of artificial intelligence and autonomous systems is crucial beside miniaturization and mobility. Beside their opportunities, those advanced technologies also bear risks to be managed. Beside the relationships between technology and human actors, the behavior of intelligent and autonomous systems from a humanistic and ethical perspective is in the center of considerations. The different existing approaches for guaranteeing the intended properties are presented and compared for deriving a common set of necessary principles to be met for P5 medicine.
Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile
Authors: Gholamhosseini Hamid  , Baig Mirza  , Maratas Joseph  , Mirza Farhaan  , Lindén Maria
Published: February 2025

There is a worldwide increase in the rate of obesity and its related long-term conditions, emphasizing an immediate need to address this modern-age global epidemic of healthy living. Moreover, healthcare spending on long-term or chronic care conditions such as obesity is increasing to the point that requires effective interventions and advancements to reduce the burden of the healthcare. This research focuses on the early risk assessment of overweight/obesity using wearable technology. We establish an individualised health profile that identifies the level of activity and current health status of an individual using real-time activity and vital signs. We developed an algorithm to assess the risk of obesity using the individual's current activity and calorie expenditure. The algorithm was deployed on a smartphone application to collect wearable device data, and user reported data. Based on the collected data, the proposed application assesses the risk of obesity/overweight, measures the current activity level and recommends an optimized calorie plan.
ОПТИМІЗАЦІЯ ЗАХИСТУ ДАНИХ: ПРЕВЕНТИВНІ ТА РЕАКТИВНІ СТРАТЕГІЇ
Authors: ВАВРИК Тетяна , ГОБИР Ліда
Published: February 2025

У статті досліджуються ключові аспекти оптимізації захисту даних в умовах постійно зростаючих кіберзагроз. Автори виокремлюють дві основні категорії стратегій: превентивні, які спрямовані на запобігання інцидентам, та реактивні, що акцентують увагу на реагуванні на вже виниклі загрози. Мета роботи дослідження основних підходів до забезпечення безпеки даних у сучасних інформаційних системах. Стаття розглядає ефективні превентивні стратегії для попередження витоків або несанкціонованого доступу до інформації, а також реактивні стратегії для відновлення систем та мінімізації наслідків кіберінцидентів. Методологія. Огляд наукових публікацій, що стосуються стратегій захисту даних. Вивчення нормативних документів щодо захисту інформації. Це дозволить встановити сучасний стан проблеми та визначити найбільш ефективні превентивні і реактивні методи захисту. Аналіз превентивних стратегій використання методу порівняння різних підходів до захисту даних. Оцінка реактивних стратегій захисту таких як, відновлення після інцидентів, моніторинг атак та реагування на інциденти. Наукова новизна. Розробка методології оптимізації витрат на заходи з кібербезпеки. Це дозволяє визначити оптимальний баланс між проактивними і реактивними заходами безпеки. Введення комплексної оцінки, яка враховує не тільки витрати на реалізацію технологій, але й економічний ефект від зниження ризику безпеки та оперативного відновлення після атак. Висновки дослідження підкреслюють важливість комплексного підходу до захисту даних, який поєднує превентивні та реактивні заходи, забезпечуючи більш надійний рівень інформаційної безпеки, а також зменшити ризики в умовах швидко змінюваного кіберпростору Це може бути корисними для фахівців у галузі інформаційних технологій, безпеки даних і стратегічного управління.
«ОТРУТА, ЩО ЧОРНИМИ ВЕРВЕЧКАМИ ВИСОТУВАЛАСЯ З БЕЗЛІЧІ ДИМАРІВ» (МОВНО-СТИЛІСТИЧНІ ЗАСОБИ НАГНІТАННЯ СТРАХУ В РОМАНІ ЮРІЯ ДАЦЕНКА «ПАСТКА ДЛЯ РІЗНИКА»)
Authors: НАУМОВА Тетяна
Published: February 2025

У статті розглянуто основні мовно-стилістичні засоби творення й нагнітання емоційного стану страху в романі Ю. Даценка «Пастка для різника». Мета дослідження – виявити стилістичні особливості реалізації емоційного стану страху у художніх творах жанру горор. У статті на матеріалі роману Юрія Даценка «Пастка для різника» розглядаються стилістичні прийоми, використовувані автором для створення емоційного напруги в тексті твору. Крім цього, аналізуються особливості стилістичних засобів для нагнітання атмосфери страху та інших негативних емоцій. Актуальність теми дослідження зумовлена тим, що й сьогодні література в жанрі горор не втрачає своєї популярності, більше того, багато творів даного жанру знаходять своє втілення на екрані. Наукова новизна дослідження полягає в тому, що в результаті аналізу було виявлено ряд стилістичних прийомів, що застосовуються для створення напруженої психологічної атмосфери в романі Юрія Даценка «Пастка для різника». Під час роботи над статтею були використано методи суцільної вибірки та контекстуального аналізу. Було проаналізовано мовно-стилістичні засоби зображення таких емоційно-психологічних станів як втеча та страх, тягар спогадів, відсторонення, внутрішня темрява, життєвий ритм, полювання на живу істоту як сенс існування тощо. У результаті доведено, що стилістичні прийоми, які використовуються автором протягом усього сюжету, сприяють нагнітанню атмосфери страху та емоційного напруження пристрастей.
СЛОВОТВІРНІ ГНІЗДА ІЗ ВЕРШИНАМИ STEUER, GEBÜHR ТА ABGABE У ЛЕКСИКО-СЕМАНТИЧНОМУ АСПЕКТІ
Authors: ОХРІМЕНКО Олена
Published: February 2025

У статті розглядається, що словотвірні системи як споріднених, так і неспоріднених мов має важливе значення, оскільки дає змогу не лише виявити лінгвістичні універсалії загальної дериватології, а й глибше дослідити формальну та семантичну структуру похідних слів і складних словотвірних одиниць у кожній мові. Це також дозволяє визначити їхню роль у процесах мовної номінації. Особливості концептуалізації дійсності в різних мовах визначаються структурою цих мов, що робить зіставлення словотвірних систем важливим для виявлення похідних одиниць, які є ментальними відображеннями людського досвіду та знань. Аналіз похідних лексем зосереджується на визначенні їхнього семантичного простору та словопороджувальних властивостей. Тому перспективними є дослідження, в яких акцентується увага не на окремих словах, а на словотвірних гніздах. Словотвірне гніздо являє собою впорядковану сукупність слів зі спільним коренем, організованих за відношеннями похідності. Його структура визначає місце кожного компонента відповідно до системи мови, а послідовність підпорядкування демонструє ступінчатий характер словотворення. Словотвірні гнізда найповніше розкривають семантику кореня як змістового ядра, який виступає базою для цілої групи споріднених слів. Аналіз гнізда дозволяє визначити словотвірну потенцію кореня, встановити набір похідних, а також виявити смислові зв’язки з мотивувальним словом. Такі дослідження дозволяють виявити національно-культурну специфіку словотвірного гнізда як лексичної мікросистеми, що особливо важливо при аналізі слів-універсалій із широкими словотвірними зв’язками. Зв'язок утворений таким чином, створює складну одиницю словотворення, мають спільну твірну основу і перебувають на одному рівні словотворення. Усі слова виступають твірними основами, утворюють свою словотвірну парадигму.
РОЗВИТОК ДЕРЖАВНОЇ ПОДАТКОВОЇ СЛУЖБИ УКРАЇНИ: ОЦІНКА ЕФЕКТИВНОСТІ, ВИКЛИКИ ТА СВІТОВІ ТЕНДЕНЦІЇ
Authors: Шепель Інеса
Published: February 2025

Стаття присвячена аналізу процесу реформування Державної податкової служби України з урахуванням сучасних викликів та міжнародного досвіду. Розглянуто ключові проблеми функціонування податкової системи, зокрема високий рівень бюрократизації, недостатню автоматизацію процесів та складність адміністрування податків. Визначено основні напрями вдосконалення діяльності ДПС, включаючи цифровізацію, спрощення процедур податкового контролю, покращення взаємодії з платниками податків та підвищення рівня прозорості адміністрування. Досліджено практику реформування податкових органів у країнах Європейського Союзу, США та інших державах, а також можливості адаптації успішних підходів до українських реалій. Окреслено пропозиції щодо модернізації ДПС України, спрямовані на підвищення ефективності її роботи, забезпечення стабільності податкової системи та створення сприятливих умов для бізнесу.
ДЕРЖАВНИЙ ФІНАНСОВИЙ КОНТРОЛЬ УКРАЇНИ В УМОВАХ ВОЄННОГО СТАНУ
Authors: Скрипник Галина , Владислав Черненко
Published: February 2025

У статті розглянуто діяльність органів Державної аудиторської служби України за 2021–2023 роки, зокрема проаналізовано результати роботи, а саме: обсяги виконаних ревізій, перевірок закупівель, моніторингів, державних фінансових аудитів та виявлених порушень. У період з січня 2021 року по грудень 2023 року було проведено 2159 ревізій та 1510 перевірок закупівель, під час яких перевірці підлягали понад 2,5 млн підприємств, установ і організацій. Виявлені фінансові порушення, що призвели до втрат матеріальних та фінансових ресурсів, склали загалом близько 325,5 млрд грн. Державний фінансовий контроль на 2720 об’єктах виявив незаконні, нецільові витрати та нестачу ресурсів на суму понад 124,7 млрд грн, з яких майже 13,9 млрд грн стосувалися операцій із бюджетними коштами. Надано рекомендації щодо підвищення ефективності державного фінансового контролю за рахунок посилення законодавчого регулювання та антикорупційних заходів, оптимізації контрольних процедур та розширення громадського контролю.
КУЛЬТУРНА ДИПЛОМАТІЯ: ПОНЯТТЯ ТА МЕХАНІЗМИ РЕАЛІЗАЦІЇ
Authors: Марченко Альона
Published: February 2025

У статті проаналізовано сучасні підходи до поняття «культурна дипломатія». На сьогоднішній день, в умовах глобалізації, більшість суб’єктів міжнародних відносин віддають перевагу засобам м’якої сили. Культурна дипломатія виступає одним з найпотужніших інструментів цієї сили, яка не лише сприяє зближенню між культурами, а і за допомогою своєї сили, може бути місцем зустрічі для мирного вирішення конфліктних питань. Культурна дипломатія сприяє розвитку довіри між країнами, налагодженню ефективного співробітництва та подоланню упередженості. Мета комерційної дипломатії полягає в сприянні зміцненню міжнародних відносин. Важливість правильного застосування комерційної дипломатії з кожним роком зростає, оскільки це допомагає державі зміцнити свої позиції на міжнародній арені. Також, були розглянуті механізми реалізації культурної дипломатії, які розділяються на традиційні та інноваційні. Кожен з механізмів має свої переваги та при правильному використанню яких, можна досягнути зміцнення міжнародного іміджу та досягнення зовнішньополітичних цілей.
РОЗВИТОК ЗОВНІШНЬОЇ ТОРГІВЛІ УКРАЇНИ В УМОВАХ ВІЙНИ
Authors: Пічкурова Зоя
Published: February 2025

Стаття присвячена дослідженню ключових тенденцій, проблем та перспектив розвитку зовнішньої торгівлі України в умовах війни. Визначено основні проблеми і перешкоди розвитку зовнішньоторговельної діяльності України в умовах війни. Проаналізовано товарну структуру зовнішньої торгівлі України та динаміку її розвитку, виділено основі статті вітчизняного експорту та імпорту. Визначено передумови та особливості трансформації географічної структури зовнішньої торгівлі України, проаналізовано ключових торговельних партнерів та їх частку у вітчизняному експорті та імпорті товарів. Підкреслено зростання ролі і значення Європейського Союзу як провідного зовнішньоторговельного партнера України. Наголошено на позитивній динаміці відновлення зовнішньої торгівлі України та визначено перспективи розвитку зовнішньоторговельного потенціалу України.