bluuebunny/crossref_metadata_2025 huggingface dataset:
The Sustainability of Emotional Intelligence and Decision-Making Flair by Financial Investors Through the Mediating Role of Coachability
Authors: Champatiray Manisha Yagyaseni , Hota Sweta Leena , Kumar Arya , Kumar Anuj
Published: December 2023

Research background

Investors today are more inclined towards a financial market that increases their knowledge and excess involvement. It is often observed that they are extensively emotionally involved, that impact financial investors’ investment decisions. It is observed that investors always seek guidance from an expert to invest in more appropriate products and services. This guidance and support lead to reaching the ultimate satisfaction of the participants.

Purpose:

This paper aims to examine the potential mediating role of investor coachability and its impact on financial investors’ emotional intelligence and decision-making styles.

Research methodology

The structured questionnaire was circulated among 106 respondents, of which 102 useful responses were considered. This research used validated scales of the Coachability Quotient questionnaire and the Schutte Self-Report Emotional Intelligence Test (SSEIT). The study has applied multiple regressions to predict rational decision-making and intuitive decision-making style through emotional intelligence and coachability as mediators.

Results

The results have found that emotional intelligence has a significant positive linear effect on coachability, with a positive direct impact on intuitive decision-making style. It was also found that emotional intelligence was found to have a significant positive direct effect on intuitive decision-making style and a negative linear direct effect on avoidance decision-making style.

Novelty

This research was to introduce the idea of incorporating behavioural finance or financial coaching as standard practice and to help investors learn to cope with the ever-increasing demands of the financial markets.
Dynamic Common Correlated Effects of Geopolitical Risk on International Tourism Arrivals
Authors: Herman Suzana
Published: December 2023

Research background

Geopolitical risk is currently recognized as a worldwide concern that significantly affects various economic sectors. As a consequence, rising geopolitical risks can cause a decline in the number of tourist arrivals.

Purpose

The aim of this paper is to examine the applicability of a commonly used dynamic model, the autoregressive distributed lag model (ARDL), in a panel data context and the effect of geopolitical risk on explaining tourist demand in chosen countries across long and short time periods.

Research methodology

On 18 developing economies, the Cross-sectionally Augmented Distributed Lag (CS-ARDL) technique is used.

Results

The results of the test show interesting insights. Although the consequences of geopolitical threats in the short term are significant and have a negative impact on tourist arrivals, in the long term, results show there is no effect. Specifically, a rise in geopolitical risk decreases foreign visitor visits in the short term but has no lasting impact.

Novelty

Using an econometric model, this study contributes to the limited research on the link between geopolitical risk and tourist arrivals.
Examining Fruit Demand Elasticities In Pakistan
Authors: Iqbal Sarah , Fayaz Muhammad , Ullah Irfan , Uçak Harun , Shah Syed Attaullah , Sayam Farheen
Published: December 2023

Research background

Income and prices are important factors that determine and decide households consumption decisions and behavior.

Purpose and research methodology

This paper aims to examine fruits’ demand elasticities in Pakistan by using the Linear Approximate Almost Ideal Demand System (LA/AIDS). For this purpose, data from the Household Integrated Economic Survey (HIES) 2018–2019 part of Pakistan Living Standard and Measurement is used for the selected fruits.

Results

Marshallian, Hicksian, and expenditures elasticities were calculated through the estimated parameter from the Linear Approximate Almost Ideal demand system. The results show that all the estimated expenditure elasticities of the selected fruits for Pakistan are positive. The magnitude of expenditure elasticities for bananas, malta, apple, grapes, watermelon, plum, and almonds, is less than unity, and are thus categorized as normal food items. The estimated uncompensated own price demand elasticities for all fruits are less than unity (inelastic) for Pakistan and thus categorized as necessities. Based on the cross-price uncompensated demand elasticities eighteen fruits are reported as gross complements and three fruits are gross substitutes. Most of the fruits are categorized as neutral fruits having no cross-price effect on each other’s demand as their estimated elasticities are closer to zero. Only apples with grapes and almonds are found to be notable substitutes. As most of the price elasticities of fruits are inelastic, any change in their price would result in a massive increase in expenditure on these fruits. As a result, the government may adopt policies for the stabilization of fruit prices to meet the minimal daily food requirements of the lower segments of society.

Novelty

This study is an attempt to estimate demand elasticities for individual fruit as very little research is available in the study area for individual commodities.
Impact of Business Intelligence on Company Performance: A System Dynamics Approach
Authors: Khare Ira , Rodrigues Lewlyn L.R. , Gulvady Samskrati , Bhakta Sudheer S. , Nair Girish K. , Hussain Anisa
Published: December 2023

Research background

Businesses struggle with operational optimisation and seek a solution by implementing Business Intelligence (BI) to boost sales. But, due to the lack of research that use actual data from real-world situations; the impetus of this research is to exploit BI parameters to enhance company performance.

Purpose

This research aims to develop a System Dynamics (SD) based model to assess whether a Japanese company which manufactures Printed Circuit Boards (PCB) should invest in BI to improve its operations based on the rate of information processing, thereby leading to increased financial performance.

Research methodology

The authors requested financial statements for three years (2019 to 2021) from the management of the PCB company, followed by validation based on subject experts’ assessments. The model was developed and simulated step-by-step with consideration of the SD approach involving problem identification, model prototyping, trouble shooting and error analysis.

Results

If BI was used to process data at a rate of 40%, the endogenous factors considered in this study would increase the company’s net profit and accumulated earnings by 25.77% and 48.28%, respectively.

Novelty

The research is unique in the sense that the model was developed based on inter-relationships between the variables, and the data is based on a real-life situation. Furthermore, the methodology could be applied with the necessary modifications to industries such as service, media, and education.
Accrual and Cash Financial Performance of Information Technology Companies During the COVID-19 Pandemic
Authors: Mioduchowska-Jaroszewicz Edyta , Chybowska Wiktoria , Jedynak Bartosz , Magac Marcin
Published: December 2023

Research background

Many companies have experienced a significant impact on their financial performance due to the pandemic period. The effects were mostly negative as a result of by due to the various restrictions that were put in place to limit direct contact among people and restrict mobility during the pandemic. As a result, online contacts increased, therefore, we decided to ask the following research question: Did the performance of Information Technology companies increase during the COVID-19 pandemic?

Purpose

The aim of the research was to examine the financial performance of Information Technology businesses from 2018 to 2021. In the article, a ratio analysis was conducted using the bi-annual financial data of IT companies.

Research methodology

The analysis included data accrual and cash results. The objective of the investigation was to assess the economic status of Information Technology firms, utilizing various analytical tools such as ratio analysis. Descriptive statistical methods were also employed to provide an overview of the findings. Furthermore, logit and discriminant models were utilized to summarize the financial outcomes.

Results

Based on the findings of the study that examined the financial status of Information Technology firms before and during the COVID-19 pandemic, it appears that these companies were able to maintain or improve their financial status during the pandemic, which goes against the general trend observed in the economy.

Novelty

Our examination of Information Technology firms’ bi-annual accrual and cash financial outcomes amid the COVID-19 pandemic is unique due to the macroeconomic element – the epidemic at such a scale had not taken place in many years of the Polish market economy.
An Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports
Authors: Vasilev Julian , Sulova Snezhana
Published: December 2023

Research background

Maritime transport helps the development of the economy of countries. Improving the current situation in this type of transport requires the application of modern software tools for assessment, analysis and forecasting.

Purpose

The aim of this paper is to suggest an approach for an in-depth analysis of marine traffic near to independent ports. This approach is tested and validated for the Varna and Constanta ports for the period 2004–2021. Data from Eurostat are used.

Research methodology

This paper proposes a new methodology for an in-depth analysis and forecasting of marine traffic of independent nearby ports using public data. Correlations, multiple regression, graphical methods, seasonality and trendlines are used to test and validate the proposed methodology.

Results

The results show that the proposed methodology may be applied for other independent ports and periods. The results show some interesting facts about the analyzed ports of Varna and Constanta. Our initial assumptions that these two independent ports have similar seasonality is rejected.

Novelty

The novelty of the paper refers to a new methodology for the in-depth analysis and forecasting of marine traffic of independent nearby ports using public data. Using the methodology in this paper (for an in-depth analysis of marine traffic of independent nearby ports) similar research may be done for other nearby ports and periods. Other research may focus on finding the specific types of cargo for each port influencing the differences in seasonality. Nearby ports with separate management may use the proposed methodology for better cargo planning and investment planning.
Numerical Model and System for Prediction and Reduction of Indoor Infection Risk
Authors: Virbulis J. , Telicko J. , Sabanskis A. , Vidulejs D.D. , Jakovics A.
Published: December 2023

The developed numerical model assesses the risk of a COVID-19 infection in a room based on the measurements of temperature, relative humidity, CO2 and particle concentration, as well as the number of people and occurrences of speech, coughing, and sneezing obtained through a low-cost sensor system. As the model operates faster than real-time, it can dynamically inform the persons in the room or building management system about the predicted risk level. When the infection risk is high, the model can activate an air purifier equipped with filtration and UV-C disinfection. This solution improves energy efficiency by reducing the ventilation intensity required during colder seasons to maintain the same safety level and activating the purifier only when the predicted infection risk surpasses a specified threshold.
CFD Analysis of Airborne Pathogen Disinfection in a UV-C Air Purification Device
Authors: Sabanskis A. , Vidulejs D. D. , Virbulis J. , Jakovics A.
Published: December 2023

Numerical simulations of the airflow inside a portable air purification device have been carried out. The simplified system geometry is comprised of key components – fans, particle filters and UV lamps for disinfection, which are included in the model. The study investigates the velocity distribution, UV irradiance, and its impact on air disinfection. The effects of the flow rate and UV dose on the purification efficacy have been investigated. The findings provide valuable insights for optimising the design and configuration of air purification devices, and their potential role in reducing the transmission of airborne diseases.
Applying Dynamic U-Value Measurements for State Forecasting in Buildings
Authors: Telicko J. , Jakovics A.
Published: December 2023

In the present day, monitoring and automated control stand as pivotal factors for the energy-efficient and comfortable operation of buildings. As the demand for indoor climate control grows, building management systems have become more intricate, making their control challenging due to the increasing number of controllable elements. Replacing manual human analysis of complex systems can be achieved through the utilization of algorithms like model-based control. It is important to note that performance of this method usually relies on the accuracy of neural network-based building state forecasts. Studying the internal dynamics of climate as influenced by temperature changes necessitates a brief record of measurements, whereas evaluating structural modifications through moisture transfer demands data covering a more extended period. Neural networks such as Long Short-Term Memory have the potential to lose information within lengthy time-series data, and the intricate nature of moisture transfer further adds complexity to the task of approximating functions, ultimately leading to a reduction in energy efficiency. In order to improve the precision of indoor climate predictions, our suggestion involves not only assessing changes in temperature but also considering alterations in U-values triggered by temperature variations and moisture transfer. Our preliminary assessment of the influence of U-value, conducted through numerical simulations using WUFI6, exposes variations of up to 10 % of U-value in certain scenarios. Dealing with these computations in real time using physical models proves to be demanding due to computational requirements and limited data availability. To tackle this issue, we present an innovative preprocessing approach for on-the-fly evaluation of U-values. Empirical trials involving three years of monitoring data indicate that the suggested technique led to an approximate 8 % reduction in the average mean squared error of climate predictions based on neural network models, in specific instances.
Porous Material for Gas Thermal Compression in Space Conditions: Thermal Design Aspects
Authors: Ušakovs I.
Published: December 2023

It is almost impossible to name a field of human activity where porous materials are not used. Filters, membranes, thermal insulators, fuel cells, catalysts, wicks of heat transfer devices, sorbents, textiles, and other examples of porous materials explain such an increased interest in the study of their properties, design of new materials, and development of technologies for their manufacture. The recent need for in-orbit spacecraft refuelling has led to the development of gas thermal compression technology based on the use of porous material as both a fuel retention mechanism and thermal interface. The present paper reveals the thermal aspects of porous material design for a device intended for pumping xenon, fuel for ion thrusters, in zero-gravity conditions – Xenon Refuelling Compressor.
Influence of Surface Waves on Liquid-to-Gas Mass Transfer in Molten Silicon
Authors: Zageris G. , Geza V. , Pavlovs S.
Published: December 2023

The paper focuses on the numerical analysis of the mass transfer of impurities from the wavy surface of molten silicon to the gas phase. The mathematical model is described herein, with the modelling of a wavy silicon melt surface being done with the moving mesh technique. The model employs assumptions about the mass transfer process on the surface, namely, that it can be modelled with effective diffusion across the interface. The assumption is verified against limited experimental data for a stationary melt surface, and reasonable agreement is obtained. Thereafter, numerical studies are undertaken for a wavy melt surface. The dependence of impurity removal rate on the wave amplitude, wavelength and frequency is analysed. It is shown that the waves on the surface of the liquid increase the mass transfer rate in a certain parameter range. Finally, results are analysed to find an explanation for this increase and to determine technological factors that impact it. Surface enlargement due to waves and altered flow patterns near the silicon melt are determined as potential reasons for the improved impurity removal rate. A dimensionless criterion for the minimal wave amplitude required to obtain improved impurity removal is found and discussed.
Raptors and linear infrastructure in Chhattisgarh, India: species composition and conservation concern
Authors: Ashwin Cheruthottunkara Purushothaman , Alby Mattathil Jacob , Arjun Moolamkudy Suresh , Arun Padijareveedu Ramachandran , Nandu Vijayakumar Sreelathadevi
Published: December 2023

We investigated the species diversity of diurnal raptors along the selected linear infrastructure projects in northern Chhattisgarh, India, between December 2020 and September 2022. The study identified a total of 14 raptor species, consisting of 11 species in Accipitridae, two in Falconidae, and one in Pandionidae families. Two species were under threatened category of the IUCN red list, the Vulnerable Indian Spotted Eagle (Clanga hastata) and the Near Threatened Pallid Harrier (Circus macrourus). Linear infrastructure development, such as roads, railways, pipelines, canals, and power lines, is expanding rapidly, causing the degradation and fragmentation of habitats, and leading to the loss of biodiversity. Unfortunately, the impacts of linear infrastructure on bird populations in India have not been adequately studied, resulting in limited understanding and few measures to mitigate these impacts. This study specifically focuses on the status of raptors along selected linear infrastructure intrusions and provides baseline information that can help in understanding their conservation needs. The findings of this study underline the necessity of implementing appropriate measures to mitigate the negative effects of linear infrastructure development in India.
Comparison of avian diversity between managed and unmanaged wetlands in Patna, Bihar, India
Authors: Shahbaz Md , Alam Ahbar , Zafar Mohammad Masroor , Sulaiman Mohammed Aasif , Kumari Anupma , Sharma Gopal , Yasmin Shahla
Published: December 2023

We compared the bird diversity of a managed (Rajdhani Jalashay) and an unmanaged wetland (Mustafapur) in Patna, Bihar, India. We recorded bird species by using point counts and fixed-route monitoring. At Rajdhani Jalashay, a total of 73 species were recorded, of which 15 species were winter visitors. Two species were in the Near-threatened category: Ferruginous Duck (Aythya nyroca) and Alexandrine Parakeet (Psittacula eupatria), while the others were of least concern. At Mustafapur wetland, 67 species were recorded with 11 species as winter visitors. Simpson’s species diversity index was 0.78 at Rajdhani Jalashay, and 0.81 at Mustafapur wetland. The number of species of waders was 17 at Mustafapur wetland and 11 at Rajdhani Jalashay. The total number of Lesser Whistling-duck (Dendrocygna javanica), a resident bird was almost double (526) at Mustafapur wetland than that at Rajdhani Jalashay (234). The nitrate level was twice higher and the phosphate level was four times higher at Mustafapur wetland than those at Rajdhani Jalashay. The difference in species number and composition between the two wetlands may be attributed to the eutrophication resulting from high nitrate and phosphate levels at Mustafapur wetland. Unfortunately, the Mustafapur wetland is under threat due to human influences. The protection and sustainable management of natural wetlands is required for saving the biodiversity of the area.
Census and spatial distribution of White Stork (Ciconia ciconia) population in Kosovo in 2017 and 2018
Authors: Maxhuni Qenan , Karataş Ahmet , Fiedler Wolfgang
Published: December 2023

In this study, during 2017–2018, for the first time in Kosovo, research on the census, distribution and population dynamics of the White Stork was made. 61 new nests were found in the whole country territory and together with 22 known nests, the total population is recorded to 83 nests and 72 breeding pairs. In total, 461 chicks were raised in the successful nests. Breeding success for the country territory during the observation period of all breeding pairs was 3.18, and 3.19 of all breeding pairs that raised chicks. The mean breeding density for the entire country was 0.67 breeding pairs/100 km2 in 2017 and 0.70 in 2018. For the potential feeding habitats, it was 2.19 (2017) and 2.28 (2018). The densest area, the river basin of Lepenci held 2.48 pairs for 100 km2. 48.61% of all recorded White Stork nests were located on various poles.
Geographic variations of song and rain calls of the Chaffinch across the ranges of three subspecies
Authors: Ivanitskii Vladimir , Samsonova Irina , Marova Irina
Published: December 2023

We analyze the variability of the Chaffinch’s (Fringilla coelebs) song and rain calls in 20 populations localized along a transect of about 3,000 km, crossing the territory of European Russia between the White Sea, Crimean Peninsula and the Caucasus Mountains. Three subspecies of Chaffinch inhabit this area: European (F. c. coelebs), Caucasian (F. c. caucasicus), and Crimean (F. c. solomkoi). The results of cluster analysis based on song show that the populations of Crimea and southeastern Dagestan stand out the most. All other populations fall clearly into two clusters corresponding to the European and Caucasian subspecies. In most of the European subspecies vast range in Russia, the “buzzing” dialect of the rain call is widespread. Only in the extreme northwest of Russia, it is replaced by a whistling dialect. In most of the Caucasus and in the Ciscaucasia, Chaffinches also emit exclusively whistling sounds, but of a completely different structure. In the Western Caucasus, Chaffinches perform also a whistling call having a unique two-syllable structure. The Crimean peninsula is inhabited by whistling Chaffinches as well, although the frequency modulation of its call is different from that of Caucasian subspecies. We discuss the spatial distribution of song types and of rain calls dialects within the ranges of subspecies and in the contact zones between them.
Long-term population changes of the Moustached Warbler (Acrocephalus melanopogon) in a Central Hungarian wetland habitat
Authors: Bozó László , Németh Ákos , Csörgő Tibor
Published: December 2023

In recent years, the breeding populations of many migratory songbird species have declined in the Carpathian Basin. However, there may be significant differences between different geographical regions, as most species have a much higher chance of successful breeding in protected areas. This is also the case for the Moustached Warbler, one of the most habitat-specialist passerine. It colonises only perennial, unharvested reedbeds, therefore its conservation management is essential. We studied the population changes of this species between 2001 and 2022 at Lake Kolon in Izsák, based on bird ringing data from 10–24 July. Data of 12,817 ringed and 5,075 recaptured birds were used in the analyses. The annual capture rate decreased significantly during the study period. The proportion of juveniles was higher at higher water levels during the whole breeding season. In contrast, when looking at winter and first and second broods separately, water level had no effect on the juvenile/adult ratio. This is because the birds compensate for unsuccessful first broods by increasing the proportion of second and replacement broods. If the first broods are successful, the ratio of second and replacement broods will be lower. As reed management is practically non-existent in this area, the perennial reedbeds provide suitable nesting conditions for the species. Changes in the wintering sites may be responsible for the declining trend. Protection of the area is of particular importance for the conservation of the species.
Breeding of the Common Crane (Grus grus L.) in Hungary since the 19th century to modern times
Authors: Bende Attila
Published: December 2023

In the present study, I summarized the data on Common Crane (Grus grus) nesting published in the Hungarian ornithological literature from the mid-19th century to the present day. Based on these data, it can be observed that the crane was never a frequent nesting species in Hungary. It probably nested regularly until the early 19th century, then occasionally until the 1910s, after which, apart from two occasional reports, no nesting data were available until 2015. From this year onwards, it started nesting again in the Transdanubian region. In the examined period, 55.6% of the nests (n=25) originated from the Transdanubian region, 37.0% from the Tiszántúl region, and 7.4% from the Duna-Tisza area. The observations recorded during the nesting period showed a strong correlation with the spatial distribution of confirmed nests. 82.6% of the observations recorded (n=23) were from the Transdanubian region, 13.0% from the Tiszántúl region, and 4.3% from the Duna-Tisza region.

The distribution of nesting data between regions varies not only spatially but also temporally. The nesting data from the Duna-Tisza area and Tiszántúl region date back to the 19th century, with the exception of one report, while the most recent nesting data are from the Transdanubian region (Vas and Veszprém counties).
Aspects of cranial adaptation in foot-propelled diving birds – foraging and visual fields of some piscivorous species
Authors: Pecsics Tibor , Csörgő Tibor
Published: December 2023

The adaptation to an aquatic lifestyle has occurred several times during the evolution of birds. The transition from a terrestrial to an aquatic lifestyle requires enormous changes in morphology, physiology, and behaviour. In addition to many physical parameters, aquatic foraging is also a limiting factor, despite the fact that aquatic habitats are often rich in food and prey. Despite many previous studies (foraging, physiology, anatomy, ecology, etc.) and a large amount of data regarding piscivore foot-propelled diving birds, our knowledge on the possible relationships between cranial morphology, feeding mechanism, visual abilities and binocularity is still very limited. In this study, we attempt to achieve a deeper understanding of the visual abilities and foraging related attributes of 5 recent and 1 extinct species of foot-propelled diving birds. We attempted to measure the horizontal visual fields of these species using 3D visualization techniques. According to our model, the narrowest horizontal binocular field was measured in Anhinga (Anhinga anhinga), and the widest was measured in the cases of Great Cormorant (Phalacrocorax carbo) and Goosander (Mergus merganser). Our results support the prediction that binocular field variation among aquatic birds is primarily associated with foraging methods and activities.
Description of representatives of the family Phasianidae from Mátraszőlős 3 (Nógrád county, Hungary) by means of recent finds of Badenian age
Authors: Horváth Ida
Published: December 2023

The article reviews of the Galliformes fo from the Mátraszőlős 3 site in Hungary from the Middle Miocene. A total of 200 bones have so far been recovered from site at Mátraszőlős 3, of which the identification of 95 bones will be discussed in this article, including anatomical differences between species. Within the fossil record, Palaeocryptonix hungaricus (Jánossy 1991) and three species of Palaeortyx have been identify (P. phasianoides Milne-Edwards, 1869, P. gallica Milne-Edwards, 1869 and P. brevipes Milne-Edwards, 1869). Only one bone of P. brevipes was recovered. As the appearance of the members of the family can be traced back to the early Oligocene, while the majority of the species are of Neogene origin, the study contributes to a better understanding of the distribution of extinct pheasant speciesin the Carpathian Basin.
Variation in small mammal food resource niche metrics of Western Barn Owl (Tyto alba) at the nesting pair and local population level
Authors: Horváth Győző F. , Maurer Máté , Horváth Adrienn
Published: December 2023

In the present study, we investigated food resource niche parameters and the degree of specialization of two local Western Barn Owl (Tyto alba) populations in two different demographic phases as the crash (2015–2016) and outbreak (2019–2020) of the Common Vole (Microtus arvalis). The study was conducted in two parts of the Transdanubian region of Hungary, namely in Duna-Drava National Park (DDNP) in the southeastern part, and in Fertő-Hanság National Park (FHNP) in the north-western part. For the analysis, we used food consumption data of 20–20 randomly selected breeding pairs from the DDNP population, while 14 and 17 breeding pairs in FHNP population in the crash and outbreak periods, respectively. Since the small mammal consumption of owls represented 99.3% of the total number of individuals, only data of small mammals as main food resource were taken into account during the analysis. Based on a trait-based framework which taking into account the resemblance between resources, Rao’s quadratic entropy metrics was used to estimate the food resource niche breadth at local owl populations and the breeding pair level. The small mammal resource utilization of owls was dependent on populations. The niche breadth of DDNP population was significantly smaller than FHNP population. The estimated niche overlap at the individual level was significantly different between the two populations. The calculated value of specialization of barn owl populations was significantly higher in north-western than south-eastern population. The niche breadth of the owl population living in the DDNP was significantly higher during the crash period. In contrast, the estimated niche breadth of the population living in FHNP did not differ significantly between the two demographic phases. Based on our result, the applied trait-based framework of resource niche pattern analysis demonstrated that the differences of niche breadth were explored in more detail by this method between the local Barn Owl populations of different geographical region.
What is the size of the Western Barn Owl (Tyto alba) hunting range in a mosaic landscape?
Authors: Szép Dávid , Purger Jenő J.
Published: December 2023

Western Barn Owls hunt primarily small mammals in open areas, but they also hunt in urban, forest and wetland habitats. The landscape structure of their hunting range, therefore, affects the composition of their prey, knowledge of which can be a good starting point for estimating the size of their hunting range. Our goal was to estimate whether owls catch most of their prey within a circle with radius of 1, 2, 3, 4 or even 5 kilometres. In this study, we used five pellet samples of different size, collected between 2015 and 2019 from a settlement near the Drava River (Péterhida, Hungary). Our results showed that the annual distribution, diversity, and evenness of small mammal species detected from the samples was similar regardless of the sample size. The distribution of small mammal functional groups preferring urban, open, forest and wetland habitats was also similar. For this reason, the pellet samples were merged. Our results suggest that Western Barn Owls catch a significant part of their prey within a circle of 2-kilometre radius around its breeding or roosting site in the landscape, which consists of patches of habitat with a mosaic distribution. In a hunting range of this size, the proportion of small mammal functional groups preferring different habitats obtained from the pellets overlapped with the proportion of their preferred habitats.
Scavenging by young tortoises (Testudo sp.) could induce their predation by the Eurasian Eagle-Owl (Bubo bubo)
Authors: Milchev Boyan
Published: December 2023

Eating owl pellets by non-predator vertebrates is a rare and difficult-to-prove food chain relationship. In this paper, I reported the first record of a Spur-thighed Tortoise (Testudo graeca) eating a Eurasian Eagle-Owl (Bubo bubo) pellet with remains of a right Wood Pigeon (Columba palumbus) wing. Scavenging of food remains around owl nests by young tortoises may possibly explain the few cases of tortoise-eating Eurasian Eagle-Owls.
Postoperative nursing process of a pregnant patient with meningioma: a case report
Authors: Dikmen Burcu Totur , Bayraktar Nurhan
Published: December 2023

Aim. The aim of this study is to evaluate the case diagnosed with meningioma during pregnancy and to present the individualized postoperative nursing process.

Material and methods. Gordon’s Functional Health Patterns Model was used to assess the case. The nursing process was established by utilizing the North American Nursing Diagnosis Association-International, Taxonomy II, nursing diagnoses.

Results. In the nursing process of the case, nursing diagnoses were included in the domains of health perception/health management pattern, nutritional/metabolic pattern, elimination pattern, activity/exercise pattern, sleep/rest pattern, cognitive/perceptual pattern, self-perception/self-concept pattern, roles/relationships pattern, coping/stress tolerance pattern, sexuality/reproductive pattern and values/beliefs pattern. The nursing process was established in accordance with these diagnoses.

Conclusions. Through this case report we would like to highlight relevance of using Gordon’s Functional Health Patterns Model for assessing the pregnant patient with meningioma and planning the postoperative nursing process. It is thought that the case report will be guide and support the nurses who care for pregnant patients with menegioma.
The Dynamics of the Impact of the Covid-19 Pandemic on Pan-Asia’s Real Estate Investment Trusts
Authors: Victor Elsa Sapphira , Razali Muhammad Najib , Ali Hishamuddin Mohd.
Published: December 2023

This study evaluated the dynamics of Real Estate Investment Trusts (REITs) in Pan-Asian countries impacted by COVID-19. The countries comprised Malaysia, Thailand, Indonesia, Singapore, Vietnam, South Korea, Japan, China, the Philippines, and Hong Kong. The study aimed to understand how the global crisis affected the real estate industry, specifically publicly traded companies. The COVID-19 pandemic significantly impacted many industries worldwide, including real estate. It caused changes in supply and demand dynamics, disrupted business operations and affected economic activity. The pandemic has also caused a general economic slowdown, with businesses struggling and unemployment rates increasing in some countries in Asia. This in turn has led to reduced consumer spending and lower demand for all types of properties, impacting the overall performance of the Asian REITs market. This study employed techniques such as Sharpe ratio, variance ratio, and Analysis of Variance (ANOVA) to highlight the dynamics of Asian REITs towards the impact of COVID-19. The findings revealed that all Asian countries were severely impacted by COVID-19, with Japan REITs experiencing the highest drop and Taiwan REITs experiencing the lowest decline.
Apartment Rental Market in Rzeszów and Lublin at the Turn of 2021-2022
Authors: Hełdak Maria , Pieszko Ewelina , Kucher Lesia
Published: December 2023

The paper presents the impact of market characteristics on the rental rate of apartments and compares the levels of the offered rental rate in two selected cities: Rzeszów and Lublin. The analyses were conducted before and during Russia's aggression against Ukraine, based on residential rental offers. Data on the offer of residential premises for rent, posted on online portals in the period from November 2021, to April 2022, was used. The analyses showed an increase in rental prices in March 2022, mainly in Rzeszów, and similar correlations of the impact of characteristics on the market rental rate in both cities in relation to the area of the unit, the number of rooms, the location on the floor, the condition of the flat and the age of the building.
Local Amenities – Spatial Modelling of Market Potential Based on Open Data
Authors: Cellmer Radosław
Published: December 2023

This paper presents the concept and methodology for assessing the market potential of local convenience shops in spatial terms. The methods concerned are based on spatial analyses using information derived from open data concerning local population density and competing establishments. The study focused on four main stages, including the estimation of shop density, population density, the compilation of a market potential map, and data reclassification to identify the potential for the location of new shops. The area under study comprised three cities: Łódź, Poznań, and Wrocław. The results of the study suggest that a high market potential does not concern the most populated areas but less populated ones, which is mainly due to much less competition. It was also indicated that the study may serve an important role in terms of sustainable urban development and an improvement in the inhabitants’ quality of life.
Cryptanalysis of a Special Polybius-Like Cipher Using Hill-Climbing
Authors: Antal Eugen
Published: December 2023

Polybius cipher is a special substitution system widely used during history. In our research, we found several Polybius-like ciphers used in Czecho-slovakia and in the Slovak State from the first half of the 20th century. Various types of this cipher are described in the first Czechoslovak cryptanalysis manual “šifrovací systémy a návod k luštění kryptogramů” by plk. Josef Růžek. It can be also found in the official cryptology directive called G–VII–8 “šifrování” (encryption) from 1938, and another variant in the new version of the same directive from 1946. In this work, we focus on a special Polybius-like cipher inspired by three real ciphers used in Czechoslovakia and in the Slovak State. Two were used during WW2 and one right after the war. We will show how these ciphers were used and how they can be solved with a modern heuristic approach on a personal computer. We evaluate the effectiveness of the Hill-Climbing heuristic methods with restarts. We also investigated several different fitness functions and language models.
ДЕТЕКЦИЈА ОМЕТЕНОСТИ ВОЗАЧА НА ОСНОВУ АНАЛИЗЕ СНИМКА ВОЗАЧА ПРИМЕНОМ МЕТОДА ДУБОКОГ УЧЕЊА
Authors: Mujo Alen
Published: December 2023

Људска грешка и расејана вожња представљају главни узрок тешких саобраћајних несрећа. Један од начина за решавање овог проблема је уградња камера на инструмент табли унутар возила које би могле да алармирају возача када се упусти у било коју активност која му одвлачи пажњу од вожње. У овом раду представљамо систем заснован на дубоком учењу за откривање ометаних возача користећи 2D слике контролне табле. Скуп података је сачињен од 22.388 RGB слика 26 јединствених возача који су класификовани у десет класа, од којих девет представља ометено понашање возача. Модел се састоји од два дела: VGG19 конволуциона неуронска мрежа за издвајање карактеристика из улазне слике и OpenPose модел за процену људске позе. Коначни модел је постигао тачност од 84% на тестном скупу података.
MIKROMREŽA KAO RESURS ZA OPTIMIZACIJU NAPONA I SNAGA NA DISTRIBUTIVNOM IZVODU
Authors: Markov Gordana , Strezoski Luka
Published: December 2023

Cilj ovog istraživanja jeste da se na jednostavnom primjeru distributivne mreže od 33 čvora u koju je integrisana mikromreža, pokaže optimizacija napona i snaga na izvodu, koristeći primarno mikromrežu kao resurs sa optimizaciju, a zatim i ostale resurse koji se nalaze na raspolaganju u mreži.
INTEGRACIJA CHAT-GPT-A SA TEHNOLOGIJAMA SEMANTIČKOG VEBA
Authors: Pogančev Tara
Published: December 2023

Rad istražuje načine na koje se savremena tehnologija računarske inteligencije – ChatGPT, može integrisati sa tehnologijama semantičkog veba. Demonstrira kako se na osnovu podataka iz dve ontologije (ACM Curriculum i Bibo Ontology) mogu kreirati a potom i izvršiti SPARQL upiti na osnovu korisničkog zahteva.
SISTEM ZA OPTIMIZACIJU RASPOREDA NASTAVE FAKULTETA TEHNIČKIH NAUKA
Authors: Janković Eva , Luburić Nikola
Published: December 2023

U sklopu ovog rada dizajniran je i im­plementiran sistem za optimizaciju rasporeda nastave, sa posebnim fokusom na organizacionu strukturu Fakulteta tehničkih nauka. Opisan je domen problema, korisnički zahtevi i arhitektura sistema, dat je pogled na implemen­taciju sistema, kao i moguća unapređenja sistema. Re­zultat rada jeste softver koji pruža mogućnost optimi­zacije rasporeda nastave koji je dodatno integrisan u širi sistem. Širi sistem omogućava korisniku upravljanje celim tokom, od ulaznih podataka, preko optimizacije i zaključno sa kreiranjem rasporeda u različitim formatima.
METODOLOGIJA UZORKOVANJA ISKUSTVA (ESM) KORISNIKA U MOBILNOM RAČUNARSTVU
Authors: Živković Luna , Vidaković Milan
Published: December 2023

Eksponencijalne promene nastale usled sve intenzivnije upotrebe informacionih tehnologija, pred­stavljaju zabrinjavajući faktor zagađenja životne sredine. Razvoj hardvera mobilnih telefona sve teže prati svako­dnevno korišćenje istih od strane milijardi korisnika, kao i sve veću kompleksnost aplikacija koje zahtevaju znatnu upotrebu energetskih resursa. Takođe, ograničenja bate­rije izričito ugrožavaju dalju evoluciju mobilnih telefona. Jedan od novih načina redukovanja potrošnje energije koju telefoni zahtevaju, jeste "približno računanje" (eng. approximate computing) koje žrtvuje preciznost zarad očuvanja energije. Vodeći se ovim, razvili smo context-aware okvir koji se fokusira na ispunjavanje korisničkih očekivanja, dok koristi minimalnu moguću energiju.
НАМЕНСКИ ЈЕЗИК ЗА МОДЕЛОВАЊЕ МИГРАЦИЈЕ РЕЛАЦИОНЕ БАЗЕ ПОДАТАКА У БАЗУ ПОДАТАKА ЗАСНОВАНУ НА ДОКУМЕНТИМА
Authors: Вучинић Милица
Published: December 2023

У овом раду представљен је текстуални наменски језик за моделовање миграције релационе базе података у базу података засновану на документиа. Модел миграције састоји се од моде­ла релационе базе, модела базе засноване на докумен­тима и моделу мапирања. На основу језика, могуће је развити више генератора при чему су у овом раду описани генератори за креирање валидатора колекције и индекса (миграција ограничења) као и генератори за сваку врсту мапирања миграције (мигрирање података). Резултујући код је генерисан у програмском језику python. За развој мета-модела кориштено је радно окружење Eclipse Modeling Framework, радни оквир Xtext за развој текстуалне синтаксе и језик Xtend за развој генератора.
SECURADSL – НАМЕНСКИ ЈЕЗИК ЗА ПОДРШКУ БРЗОГ УСПОСТАВЉАЊА БЕЗБЕДНОСНИХ АСПЕКАТА У РАДНОМ ОКВИРУ SPRING
Authors: Хрњак Јелена
Published: December 2023

У овом раду описан је наменски језик securaDSL за моделовање Spring апликација са безбедносном конфигурацијом подржаном за три безбедносна механизма: основну аутентификацију, JWT и OAuth2.0. Поред наменског језика, развијени су генератори извршивог кода на основу модела креираног помоћу језика securaDSL. Употреба овог наменског језика и генератора олакшава, убрзава и унапређује квалитет рада доменских експерата у пољу безбедносних конфигурација софтвера. За развој мета-модела коришћено је окружење Eclipse Modeling Framework које за мета-моделовање користи језик Ecore. Додатна ограничења описана су помоћу наменског језика Object Constraint Language.  За развој текстуалне синтаксе коришћен је радни оквир Xtext, а за развој генератора програмски језик Java и језик Xtend.
СИСТЕМ ЗА ПРЕПОРУКУ ЗАСНОВАН НА ГРАФОВСКИМ НЕУРОНСКИМ МРЕЖАМА
Authors: Његомир Марко , Сливка Јелена
Published: December 2023

Главна идеја рада је била да се направе модели машинског учења утемељени на графовским неуронским мрежама који би вршили препоруке производа корисницима. Од доступних података о куповним навикама корисника направљен је хетерогени бипартитан граф који садржи чворове корисника и производа, а везе у њему  представљају интеракције које су корисници имали са производима. Модели су тестирани на Brazilian E-commerce скупу података. Први модел је користио један енкодер са слојевима графовске неуронске мреже за енкодовање чворова, и један декодер ивица, чија је улога била да прави предикцију оцене коју би корисник дао производу. Други модел је користио посебне енкодере за кориснике и за производе, а такође је имао један декодер ивица. Модел са два енкодера се показао као бољи када се посматра RMSE метрика, а при том је имао и стабилније тренирање.
DEVOPS PRISTUP RAZVOJU APLIKACIJE SA INTEGRACIJOM GENERATIVNOG JEZIČKOG MODELA
Authors: Popović Miloš
Published: December 2023

U ovom radu opisan je razvoj i praćenje (monitoring) aplikacije po DevOps principima. Aplikacija služi za generisanje plana objava i ideja na društvenim mrežama uz pomoć GPT generativnog jezičkog modela.
KLASIFIKACIJA POKRETA ŠAKE NA OSNOVU EMG SIGNALA
Authors: Miličić Ivana
Published: December 2023

U ovom istraživanju realizovani klasifikatori za klasifikaciju pokreta šake na osnovu EMG signala mišića podlaktice u cilju realizacije komandnog interfejsa mioelektrične proteze šake bili su: mašina na bazi vektora nosača (engl. Support Vector Machine - SVM), klasifikator k – najbližih suseda (engl. K – Nearest Neighboors - KNN) i veštačke neuronske mreže (engl. Artificial Neural Network - ANN). Klasifikatori su obučavani za svakog ispitanika i za grupu. Redukcija dimenzionalnosti izvršena je primenom tehnike razlaganja na glavne komponente (engl. Principal Component Analysis - PCA) u cilju poboljšanja rezultata klasifikacije. Bolje performanse svih klasifikatora zabeležene su u pojedinačnim slučajevima, a PCA nije doprinela poboljšanju klasifikacije. SVM je u poređenju sa ostalim klasifikatorima kod većine ispitanika postizao najveće vrednosti tačnosti dok rezultati osetljivosti pokazuju da su SVM i kNN kod svih ispitanika prepoznavali kada je reč o pokretu istezanja ručnog zgloba. ANN u pojedinačnim slučajevima nakon PCA najmanja odstupanja među ispitanicima beleži prilikom klasifikacije pokreta istezanja ručnog zgloba.
IMPLEMENTACIJA PROTOKOLA ZA KOHERENTNOST KEŠ MEMORIJE
Authors: Janković Jana
Published: December 2023

U ovom radu prikazana je implementacija MESI protokola za koherentnost keš memorije, kao i ostatka multiprocesorskog sistema sastavljenog od RISC-V procesora i dva nivoa keš memorije. Pomoću bihevijalne simulacije testirano je ponašanje sistema u situaciji kada se iz drugog nivoa keš memorije izbacuje blok koji su modifikovala dva jezgra.
RAZVOJ PYTHON VEZA, BIBLIOTEKE I APLIKACIJE ZA HARDVERSKI AKCELERATOR NEURONSKIH MREŽA
Authors: Pilipović Nebojša
Published: December 2023

U ovom radu je izložen proces razvijanja softverskih slojeva i aplikacije za korištenje hardverskog akceleratora neuronskih mreža baziranog na modifikovanoj CoNNa arhitekturi. Modifikovana je postojeća C++ biblioteka, razvijen Python interfejs za istu, a zatim razvijena i sama aplikacija koja ima mogućnost izvršavanja više mreža odjednom, sa proizvoljnom raspodelom po jezgrima.
ИМПЛЕМЕНТАЦИЈА XMPP BOSH ПРОТОКОЛА У ОКВИРУ TR-069 КЛИЈЕНТА
Authors: Теодоровић Ана
Published: December 2023

U ovom radu je predstavljeno rešenje za unapređenje komunikacije između TR-069 klijenta i XMPP poslužitelja. U okviru TR-069 klijenta dodat je XMPP BOSH klijentski modul koji omogućava komunikaciju korišćenjem XMPP protokola preko HTTP poruka.
KOMPARATIVNA ANALIZA PERFORMANSI SISTEMA APACHE KAFKA I RABBITMQ
Authors: Tomić Nikolina
Published: December 2023

U ovom radu će biti izvršena komparativna analiza Apache Kafke, moćne platforme za obradu i upravljanje tokovima podataka u realnom vremenu sa RabbitMq-om, koji sa svojom pouzdanom i skalabilnom infrastrukturom za razmenu poruka igra ključnu ulogu u olakšavanju efikasne komunikacije između aplikaciju u kompleksnim sistemima. Rad uključuje i opis implementacije oba ova alata na projektima napisanim u programskom jeziku Java i izvršenog eksperimenta na kom je bazirana analiza.