bluuebunny/crossref_metadata_2025_split 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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

AbstractResearch backgroundMany 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?PurposeThe 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 methodologyThe 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.ResultsBased 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.NoveltyOur 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

Abstract

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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.