bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of ChatGPT in information literacy instructional design
Authors: Jelena Madunić  , Sovulj Matija 
Published: November 2023

Recent developments in ChatGPT have initiated a prompt response in the academic libraries’ community. This includes discussions on possible applications of AI text generators (Fernandez, 2023) and the implications of ChatGPT for academic libraries (Cox and Tzoc, 2023). In various segments of library services, ranging from reference services, cataloguing and metadata creation to content creation, ChatGPT can be used for natural language processing activities.In this paper, our aim is to investigate a specific application of ChatGPT in relation to Open Educational Resources (OER): instructional design for information literacy courses in academic libraries. The starting point for our research is using openly-licensed informational resources, i.e. ‘content infrastructure’ as facilitators in creating educational resources. It is widely recognised that large language models (LLMs), which use deep learning techniques to generate text based on prompts, greatly contribute to the speed of creating informational resources which comprise the content infrastructure (Wiley, 2023). However, ensuring the quality of the generated output and the requirement for review and improvements is an issue.Our analysis of the model will be conducted in three stages: 1. developing a strategy for producing information literacy syllabus using ChatGPT; 2. training the model according to predefined standards; 3. conducting the review process. In the first stage, the following guidelines will be applied: assign the model the role of a subject-matter expert (SME); provide context; instruct the model to use specific standards, i.e. “Information Literacy Competency Standards for Higher Education” (ALA/ACRL, 2000) and direct the model to use a specific output format. The second stage, or model training, will consist of a series of structured prompts, including feedback and reflection prompts. In the third stage, two external reviewers will be included in the process, with the following profiles: 1. an academic library information literacy programme coordinator; 2. English language specialist (assistant professor, PhD level). The purpose of the review is twofold: to check for pedagogical accuracy and psychometric validity, as well as usability in the actual academic environment.The results will provide some insight into the benefits of strategic and well-planned use of ChatGPT technology in creating content, while also considering responsible and ethical use of the new technology in the academic library sector.
Fusarium head blight in wheat: Impact of growing season, wheat variety and nitrogen fertilization under natural infection
Authors: El Chami Elias , El Chami Josepha , Tarnawa Ákos , Kassai Katalin Mária , Kende Zoltán , Jolánkai Márton 
Published: November 2023

AbstractThe fungal genus Fusarium encompasses a diverse group of species responsible for synthesizing mycotoxins, particularly deoxynivalenol, fumonisin, and zearalenone and inducing Fusarium head blight in wheat. The research was undertaken over a period of two consecutive growing seasons (2020 and 2021) on the premises and facilities of the Hungarian University of Agriculture and Life Sciences (MATE). The objective of this study was to investigate the impact of growing season, nitrogen fertilization, and wheat variety on Fusarium infection as well as mycotoxin contamination in wheat kernel. Zearalenone was absent throughout the course of the two growing seasons, whereas deoxynivalenol was found solely in 2020. The findings demonstrate that nitrogen fertilization failed to exhibit a statistically significant impact on both Fusarium infection and mycotoxin production. The impact of wheat variety on Fusarium infection and deoxynivalenol was not found to be statistically significant. However, it exerted a significant effect on fumonisin production. The growing season exerted a statistically significant impact on the incidence of Fusarium infection and the ensuing contamination with mycotoxins, attributable to augmented precipitation levels in 2021 compared to 2020, specifically during the flowering period when the spike of wheat is highly susceptible to Fusarium infection.
Identification of Botryosphaeria dothidea and Diaporthe eres from rotted walnut fruits and other plant parts in different phenological stages
Authors: Zabiák Andrea , Csótó András , Tóth Beáta , Takács Ferenc , Pál Károly , Sándor Erzsébet 
Published: November 2023

AbstractThe acreage of English walnut (Juglans regia L.) is constantly expanding in Hungary, due to the favorable climatic conditions and economic importance. Last years, serious damage was reported from several orchards with high percentage of rotted, moldy kernels. The aim of this research was to identify the pathogens at different growth stages. Fungi were cultured from the spotty, shriveled and rotted kernels, and monosporic isolates were identified based on morphological characters and molecular markers (ITS region and tef1 locus sequences). Botryosphaeria dothidea and Diaporthe eres were identified in high proportion from symptomatic kernels. These species were also isolated from different parts of walnut trees in different seasons. D. eres was detected in a high proportion from asymptomatic buds in March, while the presence of both species was observed in symptomatic husks with Overnight Freezing-Incubation Technique (ONFIT) in June. Their optimal growth temperature defined to be between 20–25 °C, and the growth of D. eres isolates was completely inhibited at 35 °C.
Capacitor for the voltage-surge suppression in a SiC-MOSFET half-bridge inverter
Authors: Hasanah Rini Nur , Djuriatno Waru , Ardhenta Lunde , Suyono Hadi , Wijaya Febry Pandu , Mokhlis Hazlie 
Published: November 2023

This paper explores some efforts to suppress the voltage surge appearing during the operation of a SiC-MOSFET-based half-bridge circuit in an inverter topology. The study is important to carry out, as the voltage surge problem does not come up when a Si-IGBT is used as the switching component in the half-bridge; however, some applications demand certain properties like what is found in a SiC MOSFET. Compared to Si-IGBT with rise-time/fall-time larger than 100 ns in general, the use of SiC MOSFET is preferable due to its much shorter switching time, less than 50 ns, which brings about a much lower switching loss and lower operating temperature. However, the choice of the usual electrolytic capacitor in the dc-link would produce an undesired voltage surge during the half-bridge operation. The origin of the surge is sometimes assigned to the inductance parasitic effect of the SiC-MOSFET high frequency. This research proves the benefit of a film capacitor to suppress the surge due to its lower equivalent series resistance (ESR) than that of the electrolytic capacitor. The results contribute to the consideration to take during the circuit realization in various applications, as there are not many papers yet found discussing the use of film capacitor in the dc-link of a SiC-MOSFET half-bridge inverter. This study also reveals the importance of the film capacitor placement during the design stage of SiC-MOSFET applications; moreover, motor controllers being equipped with an inverter such as described in this study have not been found yet in the market. The efforts investigated in this work would help to control the undesirable voltage spikes that frequently occur when applying a SiC-MOSFET to a half-bridge inverter design
Evaluation of the effectiveness of government support for technology entrepreneurship
Authors: Ibyzhаnova Aizhan , Rustenova Elvira , Sultanova Zamzagul , Talapbayeva Gulnar , Yerniyazova Zhanat 
Published: November 2023

This article explores the role of state support in stimulating technological entrepreneurship and its impact on the innovation process. Through analyzing existing research and using empirical evidence, the article develops a theoretical framework that explains the mechanisms of the impact of government measures on technological entrepreneurship. The article provides an overview of the main measures and tools implemented in the Republic of Kazakhstan over the past 10 years. In particular, the effectiveness of measures of JSC "Entrepreneurship Development Fund "Damu", which realizes the functions of an agent for accounting and monitoring the use of funds from the state budget, is assessed. The draw a conclusion about the stable growth of the sector, despite the negative factors of the impact of non-stability of the external environment. A quantitative assessment of the macroeconomic impact of financial measures of state support on technological entrepreneurship using the methods of correlation and regression analysis is given. The results of the assessment showed that there are weak and strong influence of state support measures: interest rate subsidies do not show macroeconomic effect, loan guarantees have a weak effect on the opening of new business entities; conditional placement of funds in banks and interest rate guarantees show good influence.
In conclusion, our article presents concrete practical implications and policy recommendations to enhance state support strategies for technology entrepreneurship, aimed at promoting innovation and reinforcing economic competitiveness. The research has revealed a noteworthy surge in innovation activity and growth in economic competitiveness. In particular, comparative assessments indicate that in 2021, the SME sector accounted for 33.3 % of the economy, signifying a substantial increase from the 32.8 % of GDP it constituted in 2020. These numbers underline the success of the current policies and provide a strong rationale for the continued enhancement of state support for technology entrepreneurship. The findings not only reaffirm the significance of continuing this policy but also establish the groundwork for more ambitious targets, such as achieving a 35 % share of SMEs in the economy by 2025.
Development of a solution search method using an improved monkey algorithm
Authors: Shyshatskyi Andrii , Nechyporuk Olena , Kuchuk Nina , Stanovska Iraida , Nalapko Oleksii , Shknai Oleh , Protas Nadiia , Shostak Serhii , Binkovska Anzhela , Shapoval Petro 
Published: November 2023

The object of the research is decision support systems. The subject of the research is the decision-making process in management problems using the monkey algorithm and evolving artificial neural networks.
A solution search method using an improved monkey algorithm is proposed. The research is based on the monkey algorithm – for finding a solution regarding the state of an object. For training monkey agents (MA), evolving artificial neural networks are used. The method has the following sequence of steps:
– input of initial data;
– processing of initial data taking into account the degree of uncertainty;
– a search vector is generated for each MA, taking into account the degree of uncertainty;
– determination of the initial speed of MA movement;
– calculation of the fitness function of the MA solution;
– calculation of the height of MA movement;
– verification of fulfillment of local jump conditions;
– generation of local search plane coordinates;
– calculation of the fitness function of the MA solution;
– generation of global search plane coordinates;
– search distribution among the MA flock;
– changing the speed of MA movement;
– checking the permissible value of the obtained solution regarding the object state;
– training of MA knowledge bases.
The originality of the proposed method lies in the arrangement of MA taking into account the uncertainty of the initial data, improved procedures of global and local search taking into account the degree of noise of data about the state of the analysis object. A feature of the proposed method is the use of an improved MA training procedure. The training procedure consists in learning the parameters and architecture of individual elements and the architecture of the artificial neural network as a whole. The method makes it possible to increase the efficiency of data processing at the level of 23–28 % due to the use of additional improved procedures
Development of recurrent neural networks for price forecasting at cryptocurrency exchanges
Authors: Tyshchenko Victoria , Achkasova Svitlana , Naidenko Oleksii , Kanyhin Serhii , Karpova Vlada 
Published: November 2023

The study focuses on improving the quality of using recurrent neural networks (RNNs) to predict cryptocurrency prices. The formula of the target variable for the model based on the arithmetic mean is developed, which allows us to better take into account the dynamics of cryptocurrency exchanges. The factors affecting this variable were grouped into features based on the volume of daily cryptocurrency trading, the volatility of the relevant prices, and the pre-calculated and selected signals of technical indicators. As part of the study, an algorithm for processing daily data was developed for the model. The results obtained made it possible to create a holistic model for forecasting stock prices. Two recurrent neural networks were trained: one with a long short-term memory (LSTM) and the other with a recurrent gate unit (GRU). To determine the efficiency of the models, the analysis was carried out using two key indicators: the Sortino coefficient, which measures the relative risk/reward for each additional unit of unwanted volatility, and the Sharpe ratio, which measures the return on assets, subtracting the free risk. As a result, it was found that both models have similar results in terms of accuracy (~69 %). Still, the GRU-based model showed significantly better values of the Sortino coefficients (3.13) and Sharpe’s coefficient (2.45), which allows us to conclude that it is effective on cryptocurrency exchanges. At the same time, the LSTM model requires more parameters for training than the GRU model with an identical structure, which leads to a longer training time. The obtained scientific and practical results are aimed at more efficient use of recurrent neural networks in price forecasting on cryptocurrency exchanges
Development of biotechnologically transesterified three-component fat systems stable to oxidation
Authors: Belinska Anna , Bliznjuk Olga , Masalitina Nataliia , Bielykh Iryna , Zviahintseva Oksana , Gontar Tatyana , Stankevych Serhii , Zabrodina Inna , Mandych Oleksandra , Stepankova Galyna 
Published: November 2023

The object of the research is the period of induction of accelerated oxidation of biotechnologically transesterified fatty systems that do not contain trans isomers of fatty acids. The paper defines the rational ratio of fatty raw materials in mixtures for biotechnological transesterification. The results obtained make it possible to develop biotechnologically transesterified three-component fat systems (palm stearin, coconut and sunflower, or soybean, or corn, or sesame oil) to obtain substitutes for milk fat. The proposed calculation of melting points of transesterified fat systems of a wide range of ratios of raw components allows us to justify such rational ratios of components that allow obtaining finished products with a melting point of 33.0...33.5 °С. It is effective to use the products of the developed composition in view of the technological requirements of consumers for their oxidizing capacity. The data obtained in the work are explained by the fatty acid and antioxidant composition of low-melting components of fat systems in a different range of their ratios, which determines different technological properties, in particular, the melting point and stability to oxidation of finished products. A feature of the obtained results is the competitiveness of the obtained fat systems, which are characterized by the absence of atherogenic components and the presence of biologically valuable polyunsaturated fatty acids in the composition. The results of the research make it possible to minimize the cost of raw components while preserving the nutritional value and technological characteristics. An applied aspect of using the scientific result is the possibility of expanding the range of milk fat substitutes with high nutritional value
Determining the effect of the direction of installing the cutting edges of shredder roller blades on process parameters
Authors: Sheichenko Victor , Volskyi Volodymyr , Kotsiubanskyi Rostyslav , Dnes Viktor , Bilovod Oleksandra , Shevchuk Misha , Skoriak Yuliia 
Published: November 2023

This paper reports a study aimed at increasing the intensity of grinding of the stems of coarse-stemmed crops by establishing the influence of the orientation of the cutting edge of the cutter-shredder knives on the quality of the technological grinding operations.
Analytical dependences of the planar movement of the roller-shredder were established and it was determined that for rollers with knives, the cutting edge of which is directed in the direction opposite to the direction of rotation:
– exceeding the value of the vertical components of the total forces of resistance of the knives, which made it possible to increase the values of forces, and, as a result, more intensive destruction of the layer of plant remains;
– exceeding the values of the driving force of the knives based on the dependence of the driving force on structural and kinematic parameters (roller weight, drum radius, blade height, blade inclination angle, acceleration).
Experimental studies have established an excess of up to 20 % of the quality indicators of milling sunflower and corn stems with roller knives, the cutting edge of which is directed in the direction opposite to the direction of rotation.
The average number of crushed pieces of corn stalks in the range of less than 50 mm is 13.6 % higher in the combined unit, the cutter blades of which are directed with the cutting edge in the direction opposite to the direction of rotation.
It was established that with zero and 3.92 kN (400 kg) additional loading, an increase in speed from 7.45 km/h to 13.6 km/h leads to a decrease in the values of the average traction resistance. The highest value of traction resistance was set at a speed of 13.6 km/h and an additional load of 7.84 kN (800 kg). The lowest value of traction resistance was established at zero additional load and a speed of 22.0 km/h, which is 21.5 % less than at a speed of 7.45 km/h and 14.1 % less than at a speed of 13.6 km/h.
Designing brazing filler metal for heat-resistant nickel alloys of new generation marine gas turbines
Authors: Kvasnytskyi Viktor , Korzhyk Volodymyr , Kvasnytskyi Viacheslav , Matviienko Maksym , Buturlia Yevhen , Lahodzinskyi Ivan 
Published: November 2023

The object of research is the processes of the formation of brazed joints and the stressed state. The subject of research is structure, chemical composition, long-term high-temperature strength at a temperature of 900 °C, speed of high-temperature salt corrosion. Existing brazing filler metals have a high-temperature performance of 40–50 % of the performance of the SM93-VI and SM96-VI alloys. Despite this, brazing is the main technique of joining modern heat-resistant cast alloys. Therefore, the development of new brazing filler metals that ensure the formation of joints with increased long-term high-temperature strength is relevant. Ship gas turbine blades operate at a temperature of 900 °C. The purpose of the development of the new SBM-4 brazing filler metal is to achieve long-term high-temperature strength of brazed joints at a temperature of 900 °C at the level of 85–90 % of the strength of heat-resistant alloys SM93-VI and SM96-VI.
A two-stage method was used in the development of SBM-4 brazing filler metal. At the first stage, the chemical composition of the brazing filler metal base was determined, taking into account the peculiarities of operating conditions of the blades of marine gas turbine engines and the achievements of materials science of heat-resistant alloys. At the second stage, the depressant and its necessary content were selected. Computer software was used to determine the distribution between the γ- and γ'-phases, taking into account the participation of each element in both dispersion and solid-solution strengthening. Rational limits of concentrations of alloying elements were determined. The criterion was the minimum susceptibility of brazing filler metal to the formation of brittle phases, taking into account the influence of chromium, rhenium, and tantalum concentrations on resistance to high-temperature salt corrosion and high-temperature performance. The long-term strength of SM93-VI and CM96-VI alloys brazed with SBM-4 brazing filler metal is 89–91 % of the strength of the base metal. Technologies of brazing and correction of casting defects have been introduced into production.
Enhancing vehicle wheel suspension test equipment through Taguchi method for optimization
Authors: Geraldi Simon Christof , Andre Hardinsi Festo , Suluh Sallolo , Paliling Formanto , Sampelolo Rigel , Widyianto Agus 
Published: November 2023

The study demonstrates a significant advancement in vehicle suspension testing by utilizing the Taguchi method for optimization. The suspension system determines a vehicle’s performance, directly affecting ride comfort, handling, and safety. The research presented in this study highlights a potentially effective method for enhancing suspension testing. The research systematically investigates the complex network of factors influencing suspension behavior using the Taguchi method, a robust optimization technique. The analysis includes examining road surface conditions, passenger weight variations, and tire pressure fluctuations. The objective is to design a suspension system that provides both comfort and stability without making any concessions, regardless of the obstacles encountered on the road. The car utilized for this research is an Altis sedan equipped with tires with a 205/55 R16 profile. The study’s findings indicate that factor A, which represents embankment height, significantly impacts 56 % of road irregularity management and the maintenance of a stable driving experience. The dynamic load factor (Factor D) contributes significantly to the vehicle’s overall stability and ride quality, accounting for 43 % in different scenarios. Based on the given framework, it can be observed that the variables B (tire pressure) and C (passenger weight) significantly influence suspension vibration, resulting in a reduction of below 0.1 %. While the research results presented here only cover a subset of automobiles, the methodology employed can be used to deal with similar problems in other vehicles.