Koteska, Bojana
Preferred name
Koteska, Bojana
Official Name
Koteska, Bojana
Main Affiliation
Email
bojana.koteska@finki.ukim.mk
99 results
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Item type:Publication, Finite-Temperature Single Molecule Vibrational Dynamics from Combined Density Functional Tight Binding Extended Lagrangian Dynamics Simulations and Time Series Analysis(BULGARIAN ACADEMY OF SCIENCES, 2020-12-31); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Resource Allocation for Maximum Performance and Minimum Cost for 3-tier SaaS Application in Azure(2014); ; ; Velkovski, GoranWindows Azure is one of the most common commercial clouds, which offers a scalable and elastic platform to host applications. The cloud customers can choose from various number of different type instances according to their needs in order to avoid application bottleneck. Scaling the resources can be done on two ways, i.e., either to increase the instance with additional resources (CPU, RAM, HDD), or to add an additional instances, each with the same resources as the first one. Since the customer should pay different price for the scaling, we are interested which scaling provides better performance, and if we can generalize it. The goal of this paper is to determine which resource organization produces better performance and cost, as well as better price-performance ratio, i.e., if it is better to host the web application in a large number of ”smaller” application instances or small number of ”bigger” instances. The results show that the latter provides much better performance for less price. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mobile wireless monitoring system for prehospital emergency care(Springer Science and Business Media LLC, 2019-04-05); ; Strahovnik, AndrejLatest achievement technologies allow engineers to develop medical systems that medical doctors in the health care system could not imagine years ago. The development of signal theory, intelligent systems, biophysics and extensive collaboration between science and technology researchers and medical professionals, open up the potential for preventive, real-time monitoring of patients. With the recent developments of new methods in medicine, it is also possible to predict the trends of the disease development as well the systemic support in diagnose setting. Within the framework of the needs to track the patient health parameters in the hospital environment or in the case of road accidents, the researchers had to integrate the knowledge and experiences of medical specialists in emergency medicine who have participated in the development of a mobile wireless monitoring system designed for real-time monitoring of victim vital parameters. Emergency medicine responders are first point of care for trauma victim providing prehospital care, including triage and treatment at the scene of incident and transport from the scene to the hospital. Continuous monitoring of life functions allows immediate detection of a deterioration in health status and helps out in carrying out principle of continuous e-triage. In this study, a mobile wireless monitoring system for measuring and recording the vital parameters of the patient was presented and evaluated. Based on the measured values, the system is able to make triage and assign treatment priority for the patient. The system also provides the opportunity to take a picture of the injury, mark the injured body parts, calculate Glasgow Coma Score, or insert/record the medication given to the patient. Evaluation of the system was made using the Technology Acceptance Model (TAM). In particular we measured: perceived usefulness, perceived ease of use, attitude, intention to use, patient status and environmental status. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Quantitative Measurement of Scientific Software Quality: Definition of a Novel Quality Model(World Scientific Pub Co Pte Lt, 2018-03); ; This paper presents a novel quality model, which provides a quantitative assessment of the attributes evaluated at each stage of development of scientific applications. This model is defined by selecting a set of attributes and metrics that affect the quality of applications. It is based on the established quality standards. The practical application and verification of the quality model is confirmed by two case studies. The first is an application for solving one-dimensional and two-dimensional Schrödinger equations, using the discrete variables representation method. The second is an application for calculating an ECG-derived heart rate and respiratory rate. The first application follows a development model for scientific applications, which includes some software engineering practices. The second application does not use a specific development model, rather, it is developed ad hoc. The quality of the applications is evaluated through comparative analyses using the proposed model. Based on software quality metrics, the results of this study indicate that the application for solving one-dimensional and two-dimensional Schrödinger equations produces more desirable results. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis(Sensors, 2022-08-23); Madevska Bogdanova, AnaThe HeartPy Python toolkit for analysis of noisy signals from heart rate measurements is an excellent tool to use in conjunction with novel wearable sensors. Nevertheless, most of the work to date has focused on applying the toolkit to data measured with commercially available sensors. We demonstrate the application of the HeartPy functions to data obtained with a novel graphene-based heartbeat sensor. We produce the sensor by laser-inducing graphene on a flexible polyimide substrate. Both graphene on the polyimide substrate and graphene transferred onto a PDMS substrate show piezoresistive behavior that can be utilized to measure human heartbeat by registering median cubital vein motion during blood pumping. We process electrical resistance data from the graphene sensor using HeartPy and demonstrate extraction of several heartbeat parameters, in agreement with measurements taken with independent reference sensors. We compare the quality of the heartbeat signal from graphene on different substrates, demonstrating that in all cases the device yields results consistent with reference sensors. Our work is a first demonstration of successful application of HeartPy to analysis of data from a sensor in development. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, SmartPatch for Victims Management in Emergency Telemedicine(IEEE, 2021-05-17) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Trends from Minimally Invasive to Non-invasive Glucose Measurements(IEEE, 2020-09-28); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Isotropic Magnetic Shielding of Al(OH) − 4 in Aqueous Solution: A Hybrid Monte Carlo - Quantum Mechanical Computational Model(Springer International Publishing, 2016); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Semiempirical Atom-centered Density Matrix Propagation Approach to Temperature-dependent Vibrational Spectroscopy of Irinotecan(Scalable Computing: Practice and Experience, 2018-05-10); ; ; ; <jats:p>In the present study, a molecular dynamics study of irinotecan molecule with the atom-centered density matrix propagation scheme was carried out at AM1 semiempirical level of theory, at series of different temperatures, ranging from 5 K to 300 K. Molecular dynamics simulations were performed within the NVE ensemble, initially injecting (and redistributing among the nuclei) various amounts of nuclear kinetic energies to achieve the desired target temperatures. Subsequently to initial equilibration phase of 2 ps, productive simulations were carried out for 8 ps. The accuracy of simulations and the closeness of the generated trajectory to those at the Born-Oppenheimer surface were carefully followed and analyzed. To compute the temperature-dependent rovibrational density of states spectra, the velocity-velocity autocorrelation functions were computed and Fourier-transformed. Fourier-transformed dipole moment autocorrelation functions were, on the other hand, used to calculate the temperature-dependent infrared absorption cross section spectra. The finite-temperature spectra were compared to those computed by a static approach, i.e. by diagonalization of mass-weighted Hessian matrices at the minima located on the potential energy surfaces. Thermally-induced spectral changes were analyzed and discussed. The advantages of finite-temperature statistical physics simulations based on semiempirical Hamiltonian over the static semiempirical ones in the case of complex, physiologically active molecular systems relevant to intermolecular interactions between drugs and drug carriers were pointed out and discussed.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, TRANSITION FROM WEB FORMS TO .NET MVC - EXPERIENCE IN INTERNET TECHNOLOGY COURSE(IATED, 2020-03); ;