bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of Austrian passenger transport policy development since the 1950s
Authors: Stellner František , Vokoun Marek , Nigrin Tomáš , Kasa Marek 
Published: December 2022

AbstractThis paper investigates the transport policy development and characteristics of the Austrian passenger transport sector from the 1950s onwards. The analysed performance indicators deal with the three most prevalent modes of transport (cars, trains and airplanes) and are linked to independent decision-making units (passengers) and their motives (price, quality and time to destination) as well as to goals and decisions involved in government policies. In this theoretical framework, we identified three developmental phases, using an interdisciplinary approach to assess the development of three variables of interest (number of car, air and train passengers). In the long term, transport policy aimed to solve the rigidity and lack of vision in train transport and the extensive use of cars. Air transport was a steadily growing segment in a close and positive relationship with trains, which is in line with the transport political orientation towards Vienna Airport and train connections to the capital city. The post-war phase (1945–1970) was characterised by enormous growth in the number of cars, an upswing in air transport and stagnant train transport. The second phase (1970–1994) was defined by a progressive liberalisation of rail transport and a plan to balance the growth rates of car, train and airplane performance variables. Finally, in the 1995–2019 phase, the growth in train transport increased; however, this growth remained far below the growth rates of air and car performance variables. Transport policy achievements and shortcomings for future research are suggested.
Vehicle detection and masking in UAV images using YOLO to improve photogrammetric products
Authors: Pargieła Karolina 
Published: December 2022

Abstract
Photogrammetric products obtained by processing data acquired with Unmanned Aerial Vehicles (UAVs) are used in many fields. Various structures are analysed, including roads. Many roads located in cities are characterised by heavy traffic. This makes it impossible to avoid the presence of cars in aerial photographs. However, they are not an integral part of the landscape, so their presence in the generated photogrammetric products is unnecessary. The occurrence of cars in the images may also lead to errors such as irregularities in digital elevation models (DEMs) in roadway areas and the blurring effect on orthophotomaps. The research aimed to improve the quality of photogrammetric products obtained with the Structure from Motion algorithm. To fulfil this objective, the Yolo v3 algorithm was used to automatically detect cars in the images. Neural network learning was performed using data from a different flight to ensure that the obtained detector could also be used in independent projects. The photogrammetric process was then carried out in two scenarios: with and without masks. The obtained results show that the automatic masking of cars in images is fast and allows for a significant increase in the quality of photogrammetric products such as DEMs and orthophotomaps.
Applications of Computational Thermodynamics in Materials Science Courses
Authors: Čička Roman 
Published: December 2022

Abstract
Computational thermodynamics is an important tool used to predict the phase equilibria, phase compositions, transformation temperatures, solubility limits and many thermodynamic properties of multi-component materials. In this contribution, the possibilities of how to introduce computational thermodynamics into the university Materials Science courses using Thermo-Calc software are described. Also, the application of computational thermodynamics in materials research and development of new materials is shortly outlined.
The Shift to Online Teaching of Technical Subjects during the Pandemic
Authors: Hudáková Mária 
Published: December 2022

Abstract
The aim of the article is to compare the results of the study before and during the pandemic. It is also a reflection on what we experienced and how we undertook pedagogical work with students in critical teaching conditions. The coronavirus pandemic brought about an unexpected and rapid change in all aspects of education. It seems like neither the teachers nor the students were ready. The article describes how the transition to online teaching took place overnight. It describes how technical subjects were taught and examined in a new online environment. This is about how the students evaluated that form of education in the subjects of ‘Heat Treatment and Metal Surface Treatment’ and ‘Material Science I’. The results of the study confirmed that even in the conditions of complete separation in the social and work contact, it is possible to study by conscientious preparation and self-access.
Comparison of Examination Methods in Bachelor’s and Master’s Degrees of Study during the Online form of Education
Authors: Moravčík Roman 
Published: December 2022

Abstract
The process of education is an integral part of the development of each student’s personality. For this reason, it is also necessary to verify the knowledge acquired during the studies. The article deals with the examination in two material-oriented courses. One is taught at the Bachelor’s degree and the other at the Master´s degree at the STU Faculty of Materials Science and Technology located in Trnava. The different approach to the examination results is evaluated, as both methods of testing produced comparable results.
Changes in the structure of household disposable income in selected countries as a reflection of crises after 2000
Authors: Hindls Richard , Marek Lubos , Hronová Stanislava 
Published: December 2022

Abstract
Wages and salaries represent the most important component of household disposable income. The aim of the article is to examine how the relationship between the shares of households’ wages and final consumption expenditure in their gross disposable income has developed over the past 20 years. The presented analysis uses publicly available national accounts data for 30 countries for the period of 2000–2019. The studied indicators include the proportion of households’ wages and salaries, and final consumption expenditure in their gross disposable income. Using the proposed method based on the evaluation of changes in the spatial map, it is possible to observe any significant changes in these proportion values in the years of financial crisis and recession, as well as in the years of prosperity. The procedure can therefore serve as an indicator of appreciable changes in economic development.
Robustness of randomisation tests as alternative analysis methods for repeated measures design
Authors: Oladugba Abimibola Victoria , Obasi Ajali John , Asogwa Oluchukwu Chukwuemeka 
Published: December 2022

Abstract
Randomisation tests (R-tests) are regularly proposed as an alternative method of hypothesis testing when assumptions of classical statistical methods are violated in data analysis. In this paper, the robustness in terms of the type-I-error and the power of the R-test were evaluated and compared with that of the F-test in the analysis of a single factor repeated measures design. The study took into account normal and non-normal data (skewed: exponential, lognormal, Chi-squared, and Weibull distributions), the presence and lack of outliers, and a situation in which the sphericity assumption was met or not under varied sample sizes and number of treatments. The Monte Carlo approach was used in the simulation study. The results showed that when the data were normal, the R-test was approximately as sensitive and robust as the F-test, while being more sensitive than the F-test when data had skewed distributions. The R-test was more sensitive and robust than the F-test in the presence of an outlier. When the sphericity assumption was met, both the R-test and the F-test were approximately equally sensitive, whereas the R-test was more sensitive and robust than the F-test when the sphericity assumption was not met.
relationship between specific psychiatric disorders and type of crimes committed in a forensic psychiatry population
Authors: Jesus Mariana , Martins Vera , Faria Isabela , Quartilho Manuel João 
Published: December 2022

Introduction: The association between criminality and psychiatric disorders has been extensively studied. The most recent studies show that this appears to exist only in acute stages of the disorder. Adverse childhood events are also a risk factor in violent and antisocial behaviors. Methods/Objectives: A retrospective exploratory study was designed, including 91 men and 19 women admitted in the Forensic Ward of Coimbra Hospital and University Center between January 2018 and august 2021 to evaluate the association between psychiatric diagnosis and crime committed. Gender differences and adverse childhood events were also evaluated. Results: Although psychotic disorders were the most common in both groups, mood disorders were significantly more common in women. 39 patients had comorbidity with substance abuse which was associated with a greater prevalence of criminal history and childhood adverse events, but also with a lesser prevalence of violent crimes and homicide. The victims of the crimes committed were mainly from the patient’s nuclear family, with a low prevalence of crimes committed against strangers. The sample patients also reported more adverse childhood events than the general population. Discussion: There were no significant differences in the type of crime considering the psychiatric diagnosis, but comorbidity with substance abuse was associated with greater criminality, but with less violent crimes. There was a greater prevalence of crimes committed against the nuclear family, and particularly against offspring in women.
Preparation and Characterization of Superparamagnetic Iron Oxide Nanoparticles (Fe3O4) for Biological Applications
Authors: Ahmed Hisham Fathallah  , Hussain S. Akbar  , Fatin M. Nawwab Al-Deen  
Published: December 2022

Superparamagnetic iron oxide nanoparticles (SPIONs) are developed considering the importance of this class of in different fields of biochemical and biomedical applications owing to their distinctive chemical and physical properties. In this work, the preparation of iron oxide nanoparticles (SPIONs (using Co-precipitation method has been done as the most commonly used wet chemical method of magnetic nanoparticles preparation for biological applications. The SPIONs synthesis was based on sodium hydroxide (NaOH) mediated precipitation of Fe3+ and Fe2+ salts in an aqueous solution using trisodium citrate as surfactant within a closed system. The size and stability of the magnetite nanoparticles were carefully controlled using different chemical and physical parameters in order to obtain the SPIONs with small particle size and distribution that is needed for biomedical applications. The synthesized Fe3O4 nanoparticles were characterized by X-ray diffraction (XRD), scanning electron microscope (SEM), transmission electron microscope (TEM), vibrating sample magnetometer (VSM), and Zeta potential analysis (Zp). XRD pattern showed the presence of peaks corresponding to the phase of magnetite Fe3O4. Moreover, SEM and TEM results revealed spherical particles with a mean diameter of ≥ 5 nm. The monodispersed SPIONs were successfully prepared with a mean hydrodynamic size of 209.32 nm at a stirring speed of 900 rpm and NaOH concentration of 1.2 gm. The results showed that the particle size is considerably dependent on the stirring rate and NaOH concentration. Fe3O4 nanoparticles exhibited superparamagnetic behavior and the saturation magnetization was around 50 emu/g.
The Adjacency Matrix of The Compatible Action Graph for Finite Cyclic Groups of p-Power Order
Authors: Mohammed Khalid Shahoodh  
Published: December 2022

Let G and H be two finites -groups, then is the non-abelian tensor product of G and H. In this paper, the compatible action graph for has been considered when and for the two finite -groups by determining the adjacency matrix for and studied some of its properties.
Determining some physical and chemical features on lower Zab river and wells water in the Zab township
Authors: M A Jassim  , M A Saleh  
Published: December 2022

The current study was conducted on the water of the Zab river in the Zab township of the Hawija district / Kirkuk governorate / Iraq, through which some physical and chemical factors of the river's water and some wells were studied. The research began from August 2019 to January 2020, to study six sites on the Zab River and six wells in the Zab township the research included the measurement of physical factors (electrical conductivity and total soluble salts or electrical conductivity and TDS). And some chemical factors in river water and well water (Calcium, magnesium, sodium and potassium ions). And some of the heavy metals (cadmium, lead, copper, and cobalt).
The results of the current study showed that the values ​​of electrical conductivity (312-518) microsemns / cm for river water and (741-8542) microsemns / cm for wells, while total dissolved salts ranged between (194-336) mg / L in river water and (253- 293.3 (mg / L for studied wells, calcium ions were recorded between (36-52) mg / L for the Zab River and (51.1-481.3) mg / L for wells. As for Magnesium Ions, it ranged between (15-24) mg / L for the Zab River and ( 26.6-480.5) mg / L for wells, Sodium ions recorded values ​​ranging between (8-19) mg / L for the Zab river and (14.3-294.3) mg / L for well water, the values ​​of potassium ions ranged between (1.4-3) mg / L for the Zab River and (9.5-155) mg / L of wells water, heavy metals (cadmium, lead, cobalt and copper) in both well water and the Zab River recorded very low values which were did not exceed 0.1 ppm.
The results of the statistical analysis of the Dunkin test also showed the presence of temporal and spatial differences in most of the studied physical and chemical factors at 0.05 level.
Implementation of Islamic Religious Education Learning Management Based on Intellectual, Emotional, and Spiritual Quotients at Institut Agama Islam Ma’arif NU Metro Lampung
Authors: Muhammad Yusuf  , M. Sayyidul Abrori  
Published: December 2022

The article was to reveal the concept and the implementation Islamic Religious Education (PAI) learning management, the perception of the PAI Study Program lecturers, and the obstacle and solutions of implementation of IESQ-based PAI learning management at Institut Agama Islam Ma’arif NU (IAIMNU) Metro Lampung. This research was a field research at the IAIMNU PAI Study Program. The sources of data are the leaders, lecturers and the documents such as vision, mission, goals, curriculum. Collecting data used observation guide sheets, interview guidelines, and documentation. The result showed that the implementation of IESQ-based PAI learning management includes (a) planning namely the preparation of objectives, teaching materials, syllabus and SAP, preparation of supporting devices, determining learning evaluation methods and systems, dominant IQ (61.1%); (b) organization which refers to the curriculum, managing classes, and interactive communication in the classroom, dominant on IQ (68.3%); (c) leadership namely apperception, motivation, active learning strategy, communicative, humor, discipline, formal dress, developing self-confidence, togetherness, group dynamics, managing class, and dominant on IQ (96.3%); (d) evaluation, namely partial evaluation of the process and results, process technique, namely assessing attitude, activity, product, and accountability, result technique, namely UTS and UAS, and dominant on IQ (60%).
Keywords: Learning Management, Spiritual Quotients, IESQ Learning Management
Capacitance Resistance Clustered Model for Mature Peripheral Waterflood Performance Prediction & Optimization
Authors: Aslam Billal , Nugroho Hasto , Mahendra Fahriza , Kurnia Rani , Marhaendrajana Taufan , Siregar Septoratno 
Published: December 2022

Optimizing water injection rate distribution in waterflooding operations is a vital reservoir management aspect since water injection capacities may be constrained due to geographic location and facility limitations. Traditionally, numerical grid-based reservoir simulation is used for waterflood performance evaluation and prediction. However, the reservoir simulation approach can be time-consuming and expensive with the vast amount of wells data in mature fields.
Capacitance Resistance Model (CRM) has been widely used recently as a data-driven physics-based model for rapid evaluation in waterflood projects. Even though CRM has a smaller computation load than numerical reservoir simulation, large mature fields containing hundreds of wells still pose a challenge for model calibration and optimization. In this study, we propose an alternative solution to improve CRM application in large-scale waterfloods that is particularly suitable for peripheral injection configuration. Our approach attempts to reduce CRM problem size by employing a clustering algorithm to automatically group producer wells with an irregular peripheral pattern. The selection of well groups considers well position and high throughput well (key well). We validate our solution through an application in a mature peripheral waterflood field case in South Sumatra. Based on the case study, we obtained up to 18.2 times increase in computation speed due to parameter reduction, with excellent history match accuracy.
La supradiégesis Musical en el Sistema de Combate de los JRPG
Authors: Porta-Pérez Alberto 
Published: December 2022

La música interviene en el videojuego mediante su propio lenguaje acompañando al jugador a lo largo de la ludoficción pudiendo ejercer un rol fundamental en el gameplay. En este trabajo en particular nos cuestionamos el papel que juega la música y su narrativa en los JRPG y concretamente en su participación dentro de los sistemas de batalla o combates. Para esta investigación nos acogemos a la ludomusicología entendida como la subdisciplina que estudia la música en los videojuegos y nos apoyamos en un marco metodológico propio de los game studies. Comprobamos que la música, entre otras funciones, puede actuar desde una capa privilegiada, una supradiégesis musical, capaz de acentuar la acción, ubicar al jugador en el espacio o informar de la dificultad del enfrentamiento influyendo tanto en el relato videolúdico como en la actitud del jugador frente a la batalla, en su inmersión y en su afecto. Music intervenes in the video game with its own language, accompanies the player throughout the game and can play a fundamental role in the gameplay. In this particular work we question the role played by music and its narrative in JRPGs, specifically in its participation in battle systems. For this research we use ludomusicology understood as the subdiscipline that studies music in video games and we rely on a methodological framework of game studies. We verified that the music, among other functions, acts from a privileged layer, a musical supradiegesis, capable of accentuating the action, locating the player in the space or informing about the difficulty of the confrontation and influences the videoludic story and the player in his attitude, his immersion and his affection during battle.
Predictive Process Control Framework for Online Quality Control in a Hot Rolling Mill
Authors: Mabunda Mpiyakhe R. D. , Mashamba Able 
Published: December 2022

Recent data science advances in statistical classification techniques, and in particular, machine learning techniques, have resulted in more efficient and robust ways of continuously monitoring and managing processes to achieve continuous quality improvement. With increased automation and process data outputs in industrial processes, traditional univariate Statistical Process Control (SPC) is proving impractical in some aspects and slowly loosing overall relevance. The main aim of this study is to develop a predictive process control framework for online quality control. This framework was validated for efficacy when compared to univariate SPC in a selected metal rolling plant based in South Africa. This predictive process control framework employs data science approaches through machine learning techniques and algorithms from the Python programming language. The research methodology is a single case study. An experiment approach was undertaken at hot roughing and hot finishing processes. The results of the study revealed a marginal 17 percent improvement in the predictive process control defect rate compared to the univariate SPC defect rate. The predictive model was based on the Random Forest algorithm and achieved an AUC of 0.84 compared to a 0.81 AUC for the neural network model. Factors found to have a positive impact on the success and sustainability of predictive process control were compliance with predictive model prescriptions, data science knowledge, senior management commitment, and the Extract, Transform, and Load (ETL) approach. These results contribute to the theory of online quality control and can be used as a guide by rolling mill process engineers and quality practitioners. Doi: 10.28991/HEF-2022-03-03-01 Full Text: PDF
Do Choroidal Melanocytes Affect Choroidal Thickness in Patients with Newly Diagnosed Vitiligo?
Authors: DEMİRCİ Göktuğ , TÜKENMEZ DEMİRCİ Gülşen , KARAMAN ERDUR Sevil , TANRIVERDİ Cafer 
Published: December 2022

Aim: Vitiligo is a chronic skin disease and considered to be an autoimmune, neural, and autocytotoxic
pathophysiology in which mainly the melanocytes in the epidermis are focused and destroyed.
Therefore, alterations in the choroid and retinal pigment epithelium are expected, and there are very
few publications using modern technology in research of this subject.
This study aimed to examine the optic disc, retinal nerve fiber layer (RNFL), and choroidal thickness
in patients with vitiligo by spectral-domain optical coherence tomography (SD-OCT) as a prospective
observational study.
Material and Methods: This single-center prospective cross-sectional study included 40 eyes of 40
patients with vitiligo and 42 eyes of 42 healthy individuals. The RNFL thickness, choroidal thickness,
and optic disc parameters (rim area, disc area, and cup volume) were compared between the two
groups.
Results: The study consisted of 21 female and 19 male in the vitiligo group, and 21 female and 21
male in controls; no difference was found in gender distribution between two groups (p=0.836). Vitiligo
and control groups had similar optic disc parameters, and RNFL and choroidal thicknesses; so the
differences in the mentioned parameters did not differ statistically (p>0.05 for all).
Conclusion: Vitiligo patients’ optic disc parameters, and RNFL and choroidal thicknesses did not differ
from those in healthy individuals. Based on unknown pathogenesis, the melanocytes at the choroidal
region may have compensatory mechanisms in vitiligo.