Proprietary Applications Research Articles

Difference between endocardial and epicardial application of pulsed fields for targeting Epicardial Ganglia: An in-silico modelling study

BackgroundPulsed Field Ablation (PFA) has recently been proposed as a non-thermal energy to treat atrial fibrillation by selective ablation of ganglionated plexi (GP) embedded in epicardial fat. While some of PFA-technologies use an endocardial approach, others use epicardial access with promising pre-clinical results. However, as each technology uses a different and sometimes proprietary pulse application protocol, the comparation between endocardial vs. epicardial approach is almost impossible in experimental terms. For this reason, our study, based on a computational model, allows a direct comparison of electric field distribution and thermal-side effects of both approaches under equal conditions in terms of electrode design, pulse protocol and anatomical characteristics of the tissues involved. Methods2D computational models with axial symmetry were built for endocardial and epicardial approaches. Atrial (1.5−2.5 mm) and fat (1−5 mm) thicknesses were varied to simulate a representative sample of what happens during PFA ablation for different applied voltage values (1000, 1500 and 2000 V) and number of pulses (30 and 50). ResultsThe epicardial approach was superior for capturing greater volumes of fat when the applied voltage was increased: 231 mm3/kV with the epicardial approach vs. 182 mm3/kV with the endocardial approach. In relation to collateral damage to the myocardium, the epicardial approach considerably spares the myocardium, unlike what happens with the endocardial approach. Although the epicardial approach caused much more thermal damage in the fat, there is not a significant difference between the approaches in terms of size of thermal damage in the myocardium. ConclusionsOur results suggest that epicardial PFA ablation of GPs is more effective than an endocardial approach. The proximity and directionality of the electric field deposited using an epicardial approach are key to ensuring that higher electric field strengths and increased temperatures are obtained within the epicardial fat, thus contributing to selective ablation of the GPs with minimal myocardial damage.

Navigating the cyber forensics landscape a review of recent innovations

<p><span>The extensive relevance of digital forensics in today's data-driven environment has been emphasized in this article. The free software and the commercial software community are debatable, despite users and developers often differing views on important topics like software safety and usability. This article primarily uses pre-defined criteria and a platform-oriented approach to examine promising freeware (Magnet Forensics and Sleuth Kit) vs. profitable (ProDiscover and Oxygen Forensic Suite) mobile forensics tools. Under diverse settings, the tools' capacity to develop and analyze forensically sound digital forensic media sources is validated. After erasing data, each media type was tested again after formatting. The study concludes with a comparison matrix that may aid in determining the best-fit option for the investigation's requirements among the tools. The findings indicate the potential for freeware to supplant numerous proprietary applications, as users can opt for freeware instead of incurring costs associated with proprietary software. Furthermore, this perception can be put into practice.</span></p>

Comparative analysis of Node.js frameworks

The aim of the article is to compare two popular NodeJs frameworks. The analysis was performed for the ExpressJs and NestJs frameworks. Two proprietary applications supporting CRUD operations, implemented in these technologies, containing the same functionalities were used for the research. The comparison includes application performance, code metrics, documentation quality and completeness, and community support. The analysis showed that ExpressJs is minimalistic and suitable for less complex applications, while NestJs provides a standardized framework that allows the creation and development of large and complex projects.

Multilanguage Software License Key Generator: Accented Characters Approach

License key generator is an ideal program use to protect proprietary application against unauthorized access. From findings, the existing license key generator only support English speaking countries, which limits the participation of other language character sets. These Nonlatin sets are called accented characters which are important elements in both written and spoken language while their use in English is greatly confined to proper words borrowed from certain countries. However; this research enhances the existing license key algorithm through the use of accented characters which support multiple languages. In other to enhance the key generator, the existing data set were updated with accented characters using C# language. Advance Encryption Standard (AES) symmetric was used to secure the generated key at the cache level while linear congruential generator algorithm was used to generate the characters in a random format. Eureqa, an automated machine learning model was used to generate an equation that checks for the vulnerability, accuracy of the key generator. Therefore, the developed license key is more secure compare to the existing algorithm. Also, it support Multilanguage software key which improves the performance and allows more participation in its use. Hence, this developed system is useful for Non-English speaking countries, which provides more security through the encryption method.

Research on User Experience during Interactions with Mobile Applications for Diabetics

The purpose of this study was to assess the influence of the appearance and structure of the application interface on task completion speed and user experience. Two data collection methods were used in the study: eye tracking and the System Usability Scale (SUS) questionnaire. Eye tracking provided information on eye movement and fixation while using the application, while the SUS questionnaire helped evaluate the overall usability level and user satisfaction. Three applications were examined (mySugr, Diabetes diary control from Google Play, and one proprietary application implemented for the purposes of the study. It was found that the proprietary SugarCare application characterized by a simple, modern, and readable interface achieved the highest results in terms of task completion times and SUS questionnaire scores. The mySugr application, which also has a clear and simple interface, took the second place. The Diabetes diary control application performed the worst, as it had a complex and less user-friendly interface. On the basis of the obtained results, mobile applications for diabetics with a clear interface proved to accelerate the task completion process and have a positive impact on user experience. These conclusions stem from the analyses of the metrics used indicating the benefits resulting from accessibility of simple and intuitive application interfaces in terms of efficacy and user satisfaction.

SMART System in the Assessment of Exercise Tolerance in Adults.

Health-oriented physical activity should meet two key criteria: safety and an optimal level of exercise. The system of monitoring and rationalization of training (SMART) was designed to meet them. SMART integrates a custom-configured inertial measurement unit (IMU) and a sensor with real-time heart rate measurement (HR) using a proprietary computer application. SMART was used to evaluate the safety and exercise load with 115 study participants: 51 women (44.35%) and 64 men (55.65%) aged 19 to 65 years. The exercise test was the 6MWT test. In 35% of the participants, the mean HR exceeded the recognized safe limit of HR 75% max. Ongoing monitoring of HR allows for optimal exercise and its safety. Step count data were collected from the SMART system. The average step length was calculated by dividing the distance by the number of steps. The aim of the present study was to assess the risk of excessive cardiovascular stress during the 6MWT test using the SMART system.

Is there an outcome benefit? Patient engagement technology in addition to the electronic medical record patient portal following elective colorectal surgery.

Patient engagement technologies (PET) are an area of growing innovation and investment, but whether PET use in the setting of electronic medical record (EMR) supported patient portals are associated with improved outcomes is unknown.Therefore, we assessed PET and EMR activation among patients undergoing elective colorectal surgery on an enhanced recovery pathway. We identified adults undergoing elective colorectal surgery between 1/2017 and 7/2021. EMR activations were assessed and patients were considered PET users if they used a proprietary PET application. Multivariable logistic regression was used to identify factors associated with PET use and determine whether the level of engagement (percentage of messages read by the patient) was associated with 30-day outcomes. 484 patients (53.5% PET users, 81.6% with an activated EMR patient portal, 30.8% ≥ 70years of age) were included. PET users were younger, more likely to have their EMR portal activated and had decreased odds of prolonged length of stay [odds ratio (OR) 0.5, 95% confidence interval (CI) 0.4-0.8]. Among patients ≥ 70years, PET users had reduced odds of readmissions (OR 0.2, 95% CI 0.1-0.9) compared to PET non-users. The most engaged PET users had decreased morbidity (OR 0.2, 95% CI 0.1-0.8) and readmissions (OR 0.3, 95% CI 0.1-0.8) compared to the least engaged PET users. When controlling for EMR activation, patients who use PET, specifically those with higher levels of engagement or aged ≥ 70, have improved outcomes following elective colorectal surgery. Interventions aimed at increasing the adoption of PET among older adults may be warranted.

System of automatic generation of ship maneuver documentation

According to the definition in the resolution International Maritime Organization no A.860 (IMO 1997) navigation is the process of planning, recording, and controlling the movement of a craft from one place to another. When navi-gating in special conditions, for example, when approaching a port or in restricted areas, it is immensely important to know the vessel's maneuverability. Therefore, identifiable information must be available on each vessel. Each watch officer is required to have the necessary knowledge of both the equipment and maneuverability of his own vessel. The description and scope of the documentation containing this data are provided in IMO Resolution A.601 (IMO, 1987). The maneuver documents that must be available on the navigation bridge are Pilot Card and Wheelhouse Poster also Maneuvering Booklet. The timeliness of the data contained in the maneuver documentation significantly influences the safety of navigation. At present, the maneuver documentation is not created in an automated manner. Automation of registration and data processing process will increase the knowledge of the behavior of the own vessel. In addition, it allows to obtain maneuvering data that exceeds the parameters necessary to prepare ship documentation. Especially research carried out in various hydrometeorological conditions, enabling the assessment of the movement of the ship on the waves. These data can be used to carry out research projects related to the subject of vessel behavior analysis. That is why the authors have made an attempt to automate the registration and processing of data necessary to create documents and their continuous generation in electronic form. In this article the authors present a proprietary comput-er application that enables the achievement of the assumed goals along with checking the applications functionality on a selected type of a vessel. The correct operation of the system has been verified based on real study and simulation tests.

Assessing the Impact of Communicative Artificial Intelligence Based Accounting Information Systems on Small and Medium Enterprises

Recent breakthroughs in deep learning have led to the development of cutting-edge industrial applications of Communicative Artificial Intelligence (AI), making it indispensable for businesses aiming to maintain a competitive edge. Consequently, artificial intelligence is no longer exclusive to large corporations; it now impacts businesses of all sizes, including small and medium-sized enterprises (SMEs), serving as a tool for command in the production and communication of crucial business aspects. This article delves into the extent of Communicative AI adoption by SMEs in Indonesia, shedding light on issues related to implementing industrial AI applications. To achieve this, a sample of SMEs participated in a structured online survey. Currently, AI adoption among SMEs in Indonesia is minimal. The reluctance is primarily attributed to high costs, extended duration, and inherent risks of developing proprietary applications. Instead, SMEs are heavily relying on AI-as-a-service and other cloud-based solutions. Various factors contribute to businesses' hesitancy. The slow progress in SME implementation indicates misunderstandings related to data and a lack of knowledge, influencing how these enterprises perceive the obstacles they encounter.

Blood donor genotyping for prediction of blood group antigens: Results from 5 years' experience (2017-2022).

For 5 years, routine genotyping has been performed for selected blood groups of blood donors in the Copenhagen Capital Region, Denmark. The result is summarized in the following. Genotyping was carried out by an external service provider using the competitive allele specific PCR (KASP) technology. The genotypes were returned to the blood bank and translated into phenotypes by a proprietary IT application. In total, 65 alleles from 16 blood group systems (ABO, MNS, Rh, Lutheran, Kell, Duffy, Kidd, Diego, Yt, Dombrock, Colton, Landsteiner-Wiener, Cromer, Knops, Vel, secretor status) and the HPA1, HPA5 and HPA15 antigens were interrogated. After translation, phenotypes were imported into the laboratory information management system of the blood bank. The results from 31,538 genotyped blood donors were used to calculate the allele frequencies for a Danish blood donor population. ABO genotyping was done for sample ID purposes. Determination of the 1061delC single nucleotide polymorphism (SNP) (NM_020469.2), most frequently characteristic of ABO*A2, was validated against a series of 1287 samples with Dolichos biflorus lectin determination of the A1 phenotype. We report allele frequencies and phenotype frequencies for 16 blood groups from a total of 31,538 genotyped blood donors. Blood products were supplied from a total of 64,312 active blood donors, and of these active blood donors 25,396 (39.5%) were genotyped. These donors represent a valuable resource for patient treatment. This genotyping has enabled the provision of rare genotyped donor blood for patients with alloantibodies and rare reagent cells for serology.

The concept of the application for humanitarian aid and its use with CAD/CAM technologies and virtual reality and its impact on the safety of the healthcare sector

Purpose: The article has presented the concept of a proprietary application for humanitarian aid and prosthetic needs for reconstruction submitted to the European Union Competition for Humanitarian Innovation (InnovAid) for innovative improvement solutions that increase humanitarian aid.
 Method: analysis of statistical data and data from available literature and scientific articles, observation.
 Findings: Improving the efficiency and effectiveness of humanitarian aid around the world, reusable and achieving the appropriate level of safety for the world's personnel, as well as providing access to innovative solutions for medical personnel anywhere in the world.
 Paper type: practical, theoretical.

Models and methods for analyzing complex networks and social network structures

Objectives. The study aimed to investigate contemporary models, methods, and tools used for analyzing complex social network structures, both on the basis of ready-made solutions in the form of services and software, as well as proprietary applications developed using the Python programming language. Such studies make it possible not only to predict the dynamics of social processes (changes in social attitudes), but also to identify trends in socioeconomic development by monitoring users’ opinions on important economic and social issues, both at the level of individual territorial entities (for example, districts, settlements of small towns, etc.) and wider regions.Methods. Dynamic models and stochastic dynamics analysis methods, which take into account the possibility of self-organization and the presence of memory, are used along with user deanonymization methods and recommendation systems, as well as statistical methods for analyzing profiles in social networks. Numerical modeling methods for analyzing complex networks and processes occurring in them are considered and described in detail. Special attention is paid to data processing in complex network structures using the Python language and its various available libraries.Results. The specifics of the tasks to be solved in the study of complex network structures and their interdisciplinarity associated with the use of methods of system analysis are described in terms of the theory of complex networks, text analytics, and computational linguistics. In particular, the dynamic models of processes observed in complex social network systems, as well as the structural characteristics of such networks and their relationship with the observed dynamic processes including using the theory of constructing dynamic graphs are studied. The use of neural networks to predict the evolution of dynamic processes and structure of complex social systems is investigated. When creating models describing the observed processes, attention is focused on the use of computational linguistics methods to extract knowledge from text messages of users of social networks.Conclusions. Network analysis can be used to structure models of interaction between social units: people, collectives, organizations, etc. Compared with other methods, the network approach has the undeniable advantage of operating with data at different levels of research to ensure its continuity. Since communication in social networks almost entirely consists of text messages and various publications, almost all relevant studies use textual analysis methods in conjunction with machine learning and artificial intelligence technologies. Of these, convolutional neural networks demonstrated the best results. However, the use of support vector and decision tree methods should also be mentioned, since these contributed considerably to accuracy. In addition, statistical methods are used to compile data samples and analyze obtained results.

Demographics, Inc., Computerized Direct Mail, and the Rise of the Digital Attention Economy

This article chronicles the origins of mechanized and computerized direct mail, mass personalized marketing, and the role of these technologies in the development of the digital attention economy. It includes an account of the first several decades of Demographics, Inc. which became one of the largest and most profitable database marketing companies in the world. Headquartered in Conway, Arkansas, Demographics developed LOFS, a market-leading proprietary data processing application for maintaining and renting lists, and personalizing direct mail for political, consumer, and business marketing campaigns.

Comparative analysis of selected programming frameworks dedicated to SPA applications

The purpose of this study was to compare two popular programming frameworks dedicated to building SPA applications. Two proprietary applications with identical functionalities were analyzed, one created in React and the other in Angular. A ready-made programming tool was used, an original script comparing the speed of adding elements to the database, and the popularity of the technology was checked on the Stack Overflow website and in the Google search engine.

Performance analysis of working with databases with Spring and Symfony

The article presents a comparative analysis of the efficiency of work with MySQL and PostgreSQL databases, using the popular Spring (Java) and Symfony programming frameworks. The research was carried out with the use of proprietary test applications that perform CRUD operations on a different number of records. The test results showed that the execution time of writing and deleting data using the Spring application is longer than when performing the same operations in Symfony. On the other hand, in the case of UPDATE and SELECT operations, the operation execution time with the Spring application turned out to be shorter than in the case of Symfony. The test results also confirmed that, regardless of the development framework, MySQL is less efficient than PostgreSQL while operating on 10 000 records except for DELETE, where MySQL combined with Symfony is the fastest.

Comparative analysis of transfer protocols asynchronous messages on systems queuing

This article presents an analysis of the performance of two protocols supported by queuing systems, i.e. MQTT and AMQP. This analysis was performed using two message brokers - ActiveMQ and RabbitMQ. The time of sending the message was analyzed, determined on the basis of the time of sending and receiving the message for both protocols in both of the above-mentioned queuing systems. The tests were carried out using proprietary applications written in Java and the Spring application framework.

Designing and Migration of Library Database

Library Management System is the finest tool for automating libraries in India. Data migration from such proprietary applications is difficult. In the majority of the current libraries, the tabular bibliographic data is exported to spreadsheet forms like CSV and XLSX. It is necessary to transform bibliographic information from spreadsheet format to the industry-standard MARC 21 format. MARC tags are applied to bibliographic information in spreadsheets using MARC Edit software. The .xlsx file is converted to .txt (tab delimited) which is then converted to .mrk format. Next, the .mrk file is changed to .mrc file. Processes for data mapping are necessary prior to this move. Later, the .mrc file must be loaded into a MySQL-compatible open source database. To achieve that, the migrated material needs to be properly validated. Therefore, it is crucial to use accurate data mapping when converting data from XLSX format to MARC 21 format. Following the importation into a database, users can obtain data for cataloguing and visualisation for easy understanding. Projects using open-source software are fundamentally about cooperation and transparency, and many eminent Indian institutions have switched to these open source platforms.

Development of a Mobile Application of the Student's Study Schedule

The purpose of the work is to develop a mobile application that can provide the ability to create and edit a training schedule. The subject of development is a proprietary multiplatform mobile application using the Flutter framework. During the development, the MVC architectural pattern was used, data storage was implemented using the SQLite DBMS. The methodology of the work is based on the Scrum method, which allows you to break the workflow into sprints, each of which allowed you to conclude that it is advisable to implement the decision. Functional analysis, as the main method, allowed us to identify the basic requirements for convenient use of the program: view schedules by calendar dates, auto-fill fields, the ability to create, edit and delete educational information. A hybrid solution was chosen for implementation. Our own multiplatform mobile application was developed using the Flutter framework. During the development, the MVC architectural template was used. Data storage was implemented using SQLite DBMS. When designing the database, the following objects were defined: subject, teacher, audience, lesson type, time, date, lesson date. The developed application is ready for publication in the AppStore and Google Play. The result of its use will be improved communication with trainees, acceleration of the processes of creating and changing schedules, as well as reducing the time to download the necessary data.

Perspectives of Motor Functional Upper Extremity Recovery with the Use of Immersive Virtual Reality in Stroke Patients.

Stroke is one of the leading causes of disability, including loss of hand manipulative skills. It constitutes a major limitation in independence and the ability to perform everyday tasks. Among the numerous accessible physiotherapeutic methods, it is becoming more common to apply Virtual Reality "VR". The aim of this study was to establish whether immersive VR was worth considering as a form of physical therapy and the advisability of applying it in restoring post-stroke hand function impairment. A proprietary application Virtual Mirror Hand 1.0 was used in the research and its effectiveness in therapy was compared to classical mirror therapy. A total of 20 survivors after ischaemic stroke with comparable functional status were divided into a study group (n = 10) and control group (n = 10). Diagnostic tools included 36-Item Short Form Survey "SF-36" and the Fugl-Meyer Assessment Upper Extremity "FMA-UE". Collected metrics showed a normal distribution and the differences in mean values were tested by the student's t-test. In both, the study and control groups' changes were recorded. A statistically significant outcome for FMA-UE and SF-36 measured by the student's t-test for dependent or independent samples (p > 0.05) were obtained in both groups. Importantly, proven by conducted studies, an advantage of VR proprietary application was subjective sensations amelioration in pain and sensory impressions. Applying Virtual Mirror Hand 1.0 treatment to patients after a stroke appears to be a good solution and definitely provides the opportunity to consider VR applications as an integral part of the neurorehabilitation process. These results give a basis to plan further larger-scale observation attempts. Moreover, the development of the Virtual Mirror Hand 1.0 as an innovative application in physiotherapy may become equivalent to classical mirror therapy in improving the quality and effectiveness of the treatment used for post-stroke patients.

The use of Digital Twin in the sustainable development of the city on the example of managing parking resources

Sustainable city development is an approach to city planning and management that takes into account the balance between economic, social and environmental aspects in order to ensure sustainable social development, environmental protection and ensuring a high quality of life for residents.The aim of the article is to draw attention to the problems in the field of parking vehicles in a smart city, which should be solved as soon as possible. Problems related to parking in the city are a common challenge that can affect the comfort of living of residents, traffic, natural environment and transport efficiency. Many cities lack parking spaces in relation to the number of vehicles, leading to difficulties in finding a parking space. This can lead to traffic jams that increase the time it takes to find a parking space, increase traffic-related emissions and reduce the quality of life for residents.The research method to solve the problem related to the management of parking spaces is focused on the analysis of the city's problems and guidelines resulting from the sustainable development of the European Union. In the application part, open data resources were used to carry out the simulation in the proprietary application solution. The result of the article, which is a scientific research, is the presentation of the author's application in the Digital Twin concept for the simulation of parking space management.The simulation is the result of research conducted using open data published on the Internet.The conclusion of the research is that in the process of effective management of parking spaces, simulation in the Digital Twin concept can be used. There is great potential in this approach.