bluuebunny/crossref_metadata_2025 huggingface dataset:
Transcriptomic data analysis of melanocytes and melanoma cell lines of LAT transporter genes for precise medicine
Authors: Szczepanek M. , Panek D. , Przybyło M. , Moskal P. , Stępień E. Ł.
Published: December 2022

Background: Boron Neutron Capture Therapy (BNCT) is a two-step treatment that can be used in some types of cancers. It involves administering a compound containing boron atoms to the patient and irradiating the affected area of the body with a neutron beam. The success of the therapy depends mainly on the delivery of the boron isotope (10B) to the tumor using an appropriate boron carrier. One of the boron carriers used is boronophenylalanine (BPA). Therefore, in research on the use of boron carriers, it is also important to know the mechanisms of its uptake by cells. Aim: To study the expression of LAT family genes in two melanoma (high melanotic WM115 and low melanotic WM266-4) cell lines and melanocytes (HEMa-Lp) which are responsible for the transport the BPA into cells. Methods: To normalize data from the transcriptomic analysis, the ratio of the median method was used. This allowed the samples to be compared with each other. Comparison metrics included log-fold change (LFC) values. The heatmap of LFC values and the cluster map were created. These graphs show the similarities and differences between the samples. Results: Transcriptomic data show that in melanocytes, LFC for SLC7A5 (LAT1) and SLC3A2 (4Fhc) was higher than in melanoma cell lines, which corresponded with their melanin content. Conclusion: Our results indicate overexpression of BPA transporter genes in normal cells (melanocytes), which may suggest the highest level of these proteins in melanocytes compared to less melanotic melanoma. Therefore, for BNCT, the use of BPA as the 10B carrier will require additional qualifying tests of amino acid transporter expression for patients and specific tumors to develop a personalized BNCT.
Deep learning-assisted analysis of automobiles handling performances
Authors: Sapienza Davide , Paganelli Davide , Prato Marco , Bertogna Marko , Spallanzani Matteo
Published: December 2022

The luxury car market has demanding product development standards aimed at providing state-of-the-art features in the automotive domain. Handling performance is amongst the most important properties that must be assessed when developing a new car model. In this work, we analyse the problem of predicting subjective evaluations of automobiles handling performances from objective records of driving sessions. A record is a multi-dimensional time series describing the temporal evolution of the mechanical state of an automobile. A categorical variable quantifies the evaluations of handling properties. We describe an original deep learning system, featuring a denoising autoencoder and hierarchical attention mechanisms, that we designed to solve this task. Attention mechanisms intrinsically compute probability distributions over their inputs’ components. Combining this feature with the saliency maps technique, our system can compute heatmaps that provide a visual aid to identify the physical events conditioning its predictions.
Characteristic Subgroups
Authors: Nelson Alexander M.
Published: December 2022

We formalize in Mizar [1], [2] the notion of characteristic subgroups using the definition found in Dummit and Foote [3], as subgroups invariant under automorphisms from its parent group. Along the way, we formalize notions of Automorphism and results concerning centralizers. Much of what we formalize may be found sprinkled throughout the literature, in particular Gorenstein [4] and Isaacs [5]. We show all our favorite subgroups turn out to be characteristic: the center, the derived subgroup, the commutator subgroup generated by characteristic subgroups, and the intersection of all subgroups satisfying a generic group property.
Transformation Tools for Real Linear Spaces
Authors: Nakasho Kazuhisa
Published: December 2022

This paper, using the Mizar system [1], [2], provides useful tools for working with real linear spaces and real normed spaces. These include the identification of a real number set with a one-dimensional real normed space, the relationships between real linear spaces and real Euclidean spaces, the transformation from a real linear space to a real vector space, and the properties of basis and dimensions of real linear spaces. We referred to [6], [10], [8], [9] in this formalization.
Performance of closed-form equations for force between cylindrical magnets over wide range of volume, aspect ratio, and force
Authors: Zurek Stan
Published: December 2022

Four types of magnets were used in this study: neodymium NdFeB (grade N35 and N52), ferrite (Y10), and samarium-cobalt SmCo (XG30 2:17). They were chosen to represent a wide range of volumes from 0.035 to 19 cm3 (540 times), radius R from 1.5 to 12.5 mm (8 ×), length L from 0.5 to 40 mm (80 ×), aspect ratio L/R from 0.051 to 17 (330 ×), and contact forces from 0.2 to 250 N (over 1000 ×). The study shows that previously reported closed-form equations are valid only at large distances (small forces). At short distances (large forces) the calculated force diverges to infinity or the accuracy depends on the aspect ratio, and some equations fail more than others. A new equation is proposed as a small modification of a previously known function, which provides reasonable behaviour over the whole studied range. However, the accuracy is unknown in a general practical case, because theoretical calculations do not take into account imperfections of real magnets, so there is no single absolute reference.
New application of the key term separation principle
Authors: Vörös Jozef
Published: December 2022

The paper deals with a new application of the key term separation principle in identification of nonlinear dynamic systems. A multiplicative form of this operator decomposition technique is proposed and applied to the Wiener model. The resulting mathematical model is linear in both the linear and the nonlinear block parameters. Illustrative examples are included.
Performance of Abuja MOU on Port State Control in Enforcement of IMO Regulations on Maritime Safety
Authors: Nwokedi Theophilus C. , Eko-Rapheals Melvin Urhoromu , Obasi Catherine , Okechkwu Anyanwu Julius
Published: December 2022

The study evaluates the performance of the Abuja Memorandum of Understanding (MoU) on port states control (PSC) with a view to providing empirical evidence and information on the rates of change in inspection efforts, detention efforts, and poor inspection performance of PSC Officers in the Abuja MoU. It examined the performance of the Abuja MoU and the level of compliance with International Maritime Organization (IMO) regulations in the West and Central African sub-region. Secondary data obtained from the database of the Abuja MoU administration was used. The findings indicate that the implementation of the instrument has improved maritime safety in the region. The result also shows that trends of inspection efforts, poor inspection performance, number of inspections with and without detected deficiencies grew in the monitored period. The detention rate declined, which implies a decline in the trend of deploying unseaworthy vessels in the waters of the region, which is good for maritime safety administration in the region. About 92.5 % of the total inspections are fully compliant with the IMO safety regulation while 7.44 % of the inspection efforts show shortcomings and failure to comply with IMO regulations in the region
Financial shocks and their effects on velocity of money in agent-based model
Authors: Boháčik Ján
Published: December 2022

The interaction of debt and economic performance has been getting more attention over the last few years. However, models making provision for debt are still outnumbered by models completely ignoring it. This paper is the first one to analyze the relationship between household debt (in the form of bank loans) and economic performance (in terms of aggregate income) considering both the impact of wealth and income distribution, and the impact of the MPC distribution under various financial shocks. The outcomes of the model are velocities calculated as ratios of aggregate income to aggregate debt. The paper demonstrates how financial shocks affect the income velocity of money under different distributions of wealth/income and marginal propensity to consume across the population. For this purpose, an original agent-based simulation model with a limited loan supply was designed. Proposed model shocks are shocks to loan demand, loan supply, marginal propensity to consume, macro-prudential regulatory ratios, real estate capital gains, repayment ratios, shocks to the structure of loans provided and to the structure of real estate property transactions. It is shown that the more equal the distributions of wealth/income and of the marginal propensity to consume, the higher is the income velocity of money. From financial shocks, the marginal propensity to consume shock and the shock to the structure of new real estate property purchases have the largest impact on velocity. The shock to regulatory ratios has generally the lowest magnitude.
The disutility of driving below the speed limit on highways
Authors: Filipi Nikol , Karlínová Bára , Krčál Ondřej
Published: December 2022

Reducing travel speed below the highway speed limit leads to savings in fuel consumption and CO2 emissions. However, car drivers may be reluctant to drive more slowly either because they do not want to lose time or for other reasons we refer to as ‘the disutility of driving at lower speeds’. In this paper, we use a survey experiment to isolate the disutility of driving at lower speeds by comparing drivers’ willingness to accept compensation for a fixed increase in travel time caused either by taking a longer route or by travelling at below-limit speeds. We show that Czech drivers require higher compensation for travelling at lower speeds than they require for the same travel time increment caused by a longer distance. This result represents the first piece of evidence showing that the disutility of driving at below-limit speeds on a highway is substantial and economically relevant.
Planned construction of HSR in Czechia and occasional long-distance work commuting: impact of passenger income
Authors: Petříček Jakub , Komárek Marek , Marada Miroslav , Randák Jakub
Published: December 2022

This article analyses occasional work commuting mobility within three major metropolitan areas in Czechia in the context of future HSR routes. The main aim is to explain uneven commuting flows of inter-metropolitan travelers through their level of income, given their potential for the use of HSR from a demand perspective. To achieve the goals, the paper uses quantitative data analysis methods performed on a selection of 228 respondents who realized at least one business trip between Prague and Brno or Prague and Ostrava between January and September 2019. The results reveal that the level of income plays a significant role in the issue of using potential high-speed lines for occasional long-distance commutes.
Travel behaviour changes during the pandemic: Prague-Pilsen rail case study
Authors: Surmařová Simona , Vrána Martin , Ilík Jan
Published: December 2022

The COVID-19 pandemic has affected many aspects of our everyday lives. Governments have taken numerous measures to contain the spread of the pandemic, which has had a direct impact on daily mobility, modal choice and the function of public transport. This study uses quantitative and qualitative data to describe how the pandemic influenced travel on the Prague-Pilsen (Praha-Plzeň) railway line. The results of the case study on the Prague-Pilsen railway line are consistent with experiences in other countries. 38% decrease in passenger numbers was found between 2019 and 2020. Although numbers are increasing again, they still have not reached the pre-pandemic level. The number of connections has also decreased by a third on average (2019 to 2020). We also conducted in-depth interviews with train passengers on the above-mentioned route. Two-thirds of passengers stated that the frequency of their journeys had not been affected by the pandemic. However, like the other participants, they described other changes caused by the pandemic. Fear of infection played an important role, and the inconvenience of overcrowding was mentioned several times. The switch from buses to trains was mentioned, as was the fact that more and more travellers prefer to travel first class. In some cases, changes in the temporality of trips were also documented. The survey suggests that respondents travel less frequently by train for systematic, functional, health or social reasons.
Development of Eco-Friendly Transformer Oil from Neem Seed Oil using Periwinkle Waste Shell as Catalyst
Authors: Oyelaran Olatunde Ajani , Borisade Sunday Gbenga , Abioye James Oyelowo , Bolaji Bukola Olalekan
Published: December 2022

The urge for a sustainable and non-polluting industry has raised the need for a search for an alternative insulating fluid that could be used in transformers, because of the negative environmental effect of mineral-based insulating fluids. Natural esters from non-edible oil seeds showed to be feasible alternative, unfortunately they possess poor thermooxidative properties. Neem trees grow nearly on all types of soils and can be as old as 45 years before they start to produce less fruits. Neem tree can produce up to 50 kg of its fruits yearly from the tenth year and the seed oil content is 45 % making it a sustainable tree. The neem seed transformer oil (NSTO) was produced via catalysed transesterification process using neem seed oil and methanol with periwinkle shell as catalyst. Prior to the transesterification reaction the seed oil was degummed. The produced ester also underwent water treatment process. The produced NSTO density, water content, acidity flash point, pour point, viscosity, breakdown voltage, dielectric, relative dielectric constant, dissipation factor and resistivity properties were tested, presented and discussed. Results show that NSTO meet most of the standard requirements of new natural ester fluids as insulating oil. The dielectric breakdown voltage of the oil is 32 kV, which is more than the required for new natural ester fluids. The dissipation factor limit value for new natural ester of 0.20 % at 25 °C limit value was met by NSTO from 100 Hz to 400 Hz, and the relative dielectric constants of NSTO are 3.01 k, which value also meets the specification of between 2.9 k and 3.2 k. The pre-treatment of degumming of the seed oil prior to transesterification and water treatment of the produced ester appears to be a promising route for the production of electrical insulating oil for transformer.
Influence of Data Reduction Methods on Economic Evaluation of Energy-Communities
Authors: Carreras Fernando , Steinmaurer Gerald
Published: December 2022

Renewable energy communities (REC) are a valuable mean of combating climate change: they increase participant self-sufficiency, avert blackouts, minimize costs (and/or CO2 emissions), and improves the resilience of the community. The planning phase of an energy community requires an analysis of its performance and efficiency. Concretely, the calculation of optimized energy flows of each participant of the REC at each timepoint (and hence, the energy costs and/or CO2 emissions) is the objective of the analysis. The quality and accuracy of the analysis depend directly on the period of the analysis from one side, and on the modelling data from another. The most accepted period of the analysis of RECs (as a special case of micro-grids) comprises a whole year, to avoid seasonal effects. The necessary data for the analysis are energy consumption and production, trade prices and used technologies. Nowadays, most grid operators provide the values of energy flows with at least a 15-minute time resolution. It means each variable involved in the analysis will be represented as an array with 35 040 elements. Increasing the number of participants, technologies, and other involved variables, increases the amount of data, and consequently the complexity of the analysis. The main contribution of this paper is the comparison of different data reduction methods to handle this information and the validation of their results.
Genomics studies for trait improvement in four important tree species: Current status and future prospects
Authors: Rajarajan Kunasekaran , Mehanathan Muthamilarasan , Sahu Sakshi , Mushineni Ashajyothi , Sundaram Suresh Ramanan , Bharti Alka , Anuragi H , Handa Arun Kumar , Arunachalam Ayyanadar , Nayak Devashree , Dhyani Shiv Kumar , Suresh Hendre Prasad , Rizvi Javed
Published: December 2022

Trees hold the lifeline of the earth’s biodiversity and serve as a commercial entity delivering broad applications to human-kind. In addition to being used as wood and timber, trees are a source of secondary metabolites, medicinal compounds, and other derivatives with high commercial value. Thus, the scope for improvement of these traits and quality traits (insect/pest resistance, wood quality, etc.) has always been demanding; however, limited progress has been made compared to other crop species. Trait improvement has always been challenging in trees owing to several practical difficulties, but genomics has enabled the precise identification of genetic determinants of these traits and provided tools and approaches to tweak them for enhancing the traits of interest. Next-generation sequencing (NGS) has expedited genomics and transcriptomics research by facilitating the sequencing of genomes and transcriptomes, identifying genes, profiling the regulation of their expression, and constructing gene regulatory networks. Also, NGS has enabled the development of large-scale genome-wide molecular markers for high-throughput genotyping applications, which are useful in breeding for desirable traits. As it allows improved understanding of the gene function and its network at different developmental stages of trees with reference to an environmental stimulus can further help the breeder to enhance the knowledge on spanning genotype and phenotype. Thus, the potential of genomics in expediting trait improvement has been well realized; however, its application in tree species, particularly in commercially important ones including Tectona grandis, Azadirachta indica, Casuarina spp., and Salix spp, requires further research. Given this, the present review enumerates the progress made in genomics research on these four species and provides the roadmap for their trait improvement toward enhancing productivity and ecosystem services.
Neuropsichiatric Manifestations of Systemic Lupus Erythematosus: Diagnosis and Treatment Approach
Authors: Lucic Aleksandra Tomic
Published: December 2022

Neuropsychiatric involvement in systemic lupus erythematosus includes heterogeneous manifestations involving both the central and peripheral nervous system. A major issue in clinical evaluation is the attribution of neuropsychiatric symptoms to systemic lupus erithematosus. Antiphospholipid antibodies, immune complex, microangiopathy, early and accelerated arteriosclerosis are factors that have the main role in pathogenesis of neuropsychiatric manifestations of systemic lupus erithematosus. There are no neurological symptoms specific to systemic lupus erithematosus, but they can also occur very commonly in the general population. Lesions of nervous system can be focal or diffuse and may be due to systemic lupus erithematosus itself (primary lesions), but it also may be caused by other diseases or disbalances. Therapy of the neuropsychiatric manifestations depends on the nature of the pathological process (dominant inflammation or thrombosis). If it is result of an inflammatory neurotoxic process and in the presence of an increased activity of systemic lupus erithematosus, therapy includes glycocorticoids independently or in combination with immunosuppressives. Focal neuropsychiatric syndrome with antiphospholipid antibodies positivity should be treated with anticoagulant and/or antiplatelet therapy. In addition, control of classical cardiovascular risk factors, stop smoking, and treatment with hydroxychloroquine is recommended.
Influence of “Sneznik-1/79” Mineral Water on Anthropometric, Functional and Biochemical Parameters of Professional Basketball Players: Role of Oxidative Stress
Authors: Lalovic Dijana , Vranic Aleksandra , Jeremic Jovana , Stanojevic Dejan , Bolevich Sergey , Bolevich Stefani , Ristic Jelena , Cikiriz Nikola , Pesic Deniel , Zagorac Zagor , Zivkovic Vladimir , Jakovljevic Vladimir
Published: December 2022

Adequate hydration represents the balance between the water intake and loss and has an unambiguous significance for public health and it is essential to sustain life. The changes in electrolyte balance which occur during and after training affect on athletes health and performance. Therefore, fluid replacement with adequate mineral composition is of utmost importance. The aim of the present study was to examine the influence of low mineral water from the well Sneznik-1/79 on anthropometric, functional, biochemical parameters and redox status of professional basketball players. In total, 17 male basketball players were included, during the pre-competitive mesocycle, and after the initial testing, they were randomly divided into two groups: group 1 - consumed the commercial drinking water for four weeks (n=7), and group 2 - consumed water from the well Sneznik-1/79 for four weeks (n=10). Determination of the anthropometric, functional, biochemical parameters and redox status was performed. Our results pointed out that consumption of mineral water from the well Sneznik is completely safe from the aspect of affecting various anthropometric, functional and biochemical parameters as well as systemic oxidative stress of professional athletes. In addition, existence of discretely better effects over commercial drinking water indicates that a long period of monitoring may certainly be of interest for further investigation.
Efektivitas Media Pembelajaran Berbasis Video Animasi Terhadap Hasil Belajar Fisika
Authors: Halmuniati* Halmuniati , Riswandi Dedi , Zainuddin Zainuddin , Asmin La Ode , Isa La
Published: December 2022

The lack of facilities and infrastructure, both laboratories and projectors, makes teachers rarely use learning media with methods that are still teacher-centered, making students limited in visualizing physical phenomena. This phenomenon has an impact on the difficulty in understanding physics so that their learning outcomes are included in the low category. Researchers in overcoming the problem using animated videos. The purpose of this study was to see the effectiveness of the application of animated videos in improving physics learning outcomes for class XI at SMAN 9 Kendari. This research is a quantitative research with a quasi-experimental method with a nonequivalent control group design. The research sample was determined by purposive sampling technique which was divided into 2 classes, namely the experimental class and the control class. The data analysis technique used is the independent sample t-test. The results of the study found that the use of animated video-based learning media was very effective to be applied to the physics learning process as seen from the provision of posttest questions and the gain test value also increased by 0.69 in the experimental class and 0.62 in the control class which was included in the medium category. So it can be concluded that animated video media is effective in improving physics learning outcomes
Junior High School Students' Skills in Making Posters Through the Blended Li-Pro-GP Learning Model
Authors: Pantiwati* Yuni , Fatmawati Deny , Haqqi Rifqi Yassirul
Published: December 2022

The skill of making a good poster is that it must meet the quality requirements of the poster. A good poster quality consists of clarity of content, completeness of components, aesthetics, composition of text and images. To train students' poster making skills, a supportive learning model is needed. The project based literacy that integrates school literacy movement strengthening character education (Li-Pro-GP) program in the implementation of learning. The purpose of the study was to describe the skills of making posters for junior high school students after using the Li-Pro-GP learning model. The research method uses classroom action research (CAR) at SMPN 23 Malang City, carried out in 2 blended cycles. The results showed that students' skills had increased in making posters based on science concepts. The population of this research is class VII odd semester 2020/2021 students of SMPN 23 Malang. The sample from the research of class VIIC SMPN 23 Malang is 25 students with purposive sampling technique. Data collection with student activity observation sheets includes field notes and poster making skills with poster making indicators. The research data were analyzed descriptively and qualitatively presented with bar and pie charts with an explanation for each percentage on the diagram of the 25 students, it shows that 20% of the students in the very good poster category, 16% of the students in the good category and 64% of the students in the moderate category
Edukasi Bencana Melalui Syair Didong Uten Karya Ceh Sali Gobal dalam Pengurangan Risiko Bencana di Kecamatan Kebayakan Kabupaten Aceh Tengah
Authors: Ramadhani* Ditha , Sulastri Sulastri , Dirhamsyah Muhammad
Published: December 2022

Central Aceh district is an area that has a high risk index for landslides. Besides that, Central Aceh is also rich in local wisdom, one of which is didong which has many poems.This study aims to investigate the messages of local wisdom about disaster risk reduction in didong uten poetry and obtain an integration model of didong uten poetry in learning that can be accepted by teachers and students at high school. The research model used is the Etnografi research model by Spradley which broadly consists of five stages, namely: First, a) have an ethnographic project, b) ask an ethnographic question, c) collect ethnographic data, d) make ethnographic notes, e) analyzing ethnographic data. This study has validated media experts in the form of didong uten poetry and obtained an average score of 97.3% with the criteria "very feasible", material expert validation in the form of disaster education and disaster risk reduction obtained an average score of 66.6% with the "feasible". Based on the results of the implementation of the instrument, the final score on disaster education (knowledge) is 62.65, the value of disaster education (attitude) is 77.68, the final value of didong uten poetry is 53.98, and the final value of disaster risk reduction is 68.7. conclusion after conducting ethnographic research interviews from 5 resource persons is that didong uten poetry can be integrated into school subjects such as geography, sociology, Indonesian language, besides that didong uten poetry can also be extracurricular at school
Kleine Dichtungen
Authors: Walser Robert
Published: December 2022

Die Sammlung Kleine Dichtungen ist 1915 im Kurt Wolff Verlag erschienen und enthält 89 zumeist kürzere Prosastücke sowie das Dramolett Tobold. Robert Walser erhielt dafür seine erste und einzige öffentliche Auszeichnung, den Preis des «Frauenbund zur Ehrung Rheinländischer Dichter». Inhaltlich handelt es sich um literarische Porträts, Traumerzählungen, Reiseberichte, Landschafts- und Bildbeschreibungen, die Walser grossteils auf der Basis früherer Drucke in Zeitschriften und Zeitungen zusammengestellt hat. Ob sich in der Anordnung der Texte eine neue, von den früheren Sammlungen zu unterscheidende kompositorische Poetik beobachten lässt, ist eine aktuelle Frage der Forschung, zu deren Klärung dieser Band beiträgt.
Der Band erscheint mit begleitender Elektronischer Edition und eingebundenem E-Book.
Social determinants of health and quality of life among uncontrolled type 2 diabetes mellitus: a review
Authors: Alshammari Rashmah , Alfayi Alaa , Almetrek Metrek , Alenazi Shareefah , Dulaimi Aseel , Khoja Mohammed
Published: December 2022

Diabetes mellitus (DM) is a public health issue; type 2 DM (T2DM) is one of the major causes of increased risks of several diseases and complications. The management and better glycemic control reduce the risk of complications associated with diabetes and improve the quality of life (QOL) of patients. There is a need to consider the external factors indicated as social determinants of diabetes and health to maintain and achieve the goal of sustainable improvement in health outcomes among diabetic patients. This review was aimed at reviewing the social determinants of health (SDOH) and the QOL of uncontrolled T2DM patients. The online databases PubMed, Science Direct, Research Gate, and Google Scholar were used to perform a literature search for publications published between 2010 and 2021, without any date or language restrictions. We used a combination of relevant search terms "DM, T2DM, Uncontrolled T2DM, QOL, health-related quality of life, SDOH". We independently identified publications and systematically screened titles, abstracts, and full texts of the collected publications. The findings included in our review were original articles, review articles, and systematic reviews written in English and focused on our objective. The obtained articles were reviewed and selected based on the inclusion criteria. The QOL of T2DM patients was found low, especially among patients with uncontrolled diabetes and those with diabetes-associated complications. There was interference observed between SDOH and patients' QOL.
The Role Of Social Media Marketing Activities In Increasing Brand Loyalty
Authors: M. Haikal Sultana Abdullah  , Aekram Faisal
Published: December 2022

The purpose of this study was to analyze the positive influence of social media marketing activities on brand loyalty both directly and through the mediating role of community engagement and brand engagement. The sample taken is with the criteria of individuals who have purchased fashion products on social media in the last 1 year. This study uses primary data obtained through questionnaires distributed to 211 respondents. Data were analyzed using the Structural Equation Model (SEM). The results of this study indicate that social media marketing activities do not have a direct (positive) influence on brand loyalty, but social media marketing activities have a positive influence on brand loyalty through the mediating role of community involvement and brand involvement.
Konzeption und Entwicklung einer Datenpipeline zur automatisierten Validierung und Verarbeitung von Bankdaten am Beispiel der Mittelstand.ai
Authors: Schlegel Stani Lennart , Ritz Harald , Becker Michel
Published: December 2022

Durch die Digitalisierung im Bankensektor ergeben sich verschiedene Möglichkeiten der Verwertung von Daten. Ein Beispiel ist die Vertriebssteuerung anhand von Data-Science-Analysen und ML-Modellen.

Diese Thesis beschäftigt sich damit, eine Datenpipeline anhand von definierten Datenqualitätsrichtlinien zu implementieren. Es wird eine automatisierte Validierung der Qualität von Bankdaten anhand eines konkreten Anwendungsfalls umgesetzt.
Algorithmischer Handel
Authors: Ortwein Benedikt , Ritz Harald , Hein Oliver
Published: December 2022

Der Kursverlauf von Wertpapieren wird durch viele Faktoren beeinflusst. Im Rahmen der Bachelorarbeit soll die Frage beantwortet werden, ob und inwieweit künstliche Intelligenz und Machine Learning in Verbindung mit dem automatisierten Handel für den einzelnen Marktteilnehmer zum Erfolg auf dem Finanzmarkt beiträgt.
Einsatz künstlicher Intelligenz in der Medizin – Chancen und Herausforderungen
Authors: Nguyen Dong Tuyen , Ritz Harald , Kammer Frank
Published: December 2022

Die Fortschritte bei medizinischen KI-Anwendungen sind aufgrund dergestiegenen Rechenleistung moderner Computer sowie der Zunahme digitaler Daten sprunghaft angestiegen.

Anhand von Analysen wurde in dieser Arbeit der Einsatz von KI in einigen medizinischen Anwendungsbereichen untersucht, u.a. zur Diagnose von Herz-Kreislauf-Erkrankungen und um Hirntumore in Röntgen-, CT- u. MRT-Bildern zu erkennen.
Vergleich von Process Mining Methoden bei praxisnahen, verteilten Prozessen im Unternehmensumfeld
Authors: Kopold Simon , Becker Ramona , Morelli Frank
Published: December 2022

Im Rahmen der Thesis wird untersucht, welche Mehrwerte durch Process Mining unter Nutzung der Multi-Event-Log (MEL) Funktion von Celonis erzeugt werden können. Es wird klassisches Process Mining sowie MEL in verschiedenen Einsatzgebieten angewendet. Durch einen Ausblick auf objekt-zentriertes Process Mining wird eine weitere Methodik aus der Wissenschaft beleuchtet.
Entwicklung eines Vorgehensmodells zur Nutzung von Process Mining für die Auswahl und Anwendung von RPA-Lösungen zur Optimierung von Geschäftsprozessen
Authors: Morelli Frank , Karkos Fabian
Published: December 2022

Der Einsatz von Robotic Process Automation (RPA) kann helfen, Geschäftsprozesse zu optimieren. Die Kom-bination mit dem Process Mining (PM) Ansatz erweist sich geeignet, um diese Chancenpotenziale systematisch zu nutzen. Dies vollzieht sich über die Verknüpfung zur Selektion, Implementierung und Steuerung von RPA- Lösungen. Der vorliegende Artikel beschreibt Vorausset-zungen, Einsatzbedingungen und Inhalte eines zugehöri-gen Vorgehensmodells. Das Konzept lehnt sich am BPM-Lebenszyklusmodell der einschlägigen Literatur an und erweitert dieses um die Aspekte Datenextraktion, RPA-Bot-Entwicklung und -Test. Die Schritte werden durch Beispiele illustriert.
Application of Artificial Intelligence to improve Customer Understanding: Transformer based Topic Modeling in practice
Authors: Morelli Frank , Blessing Nils
Published: December 2022

Since the past few years, so-called pre-trained Language Models (PLM) are considered state-of-the-art in the field of Natural Language Processing (NLP) and are thus experiencing widespread and successful application. In addition to traditional supervised Machine Learning (ML) tasks such as spam email or customer churn classification, this technology opens up advanced approaches to unsupervised learning and data analytics in general. One of particular interest is the automatic identification of latent topics within a large collection of texts, also known as Topic Modeling (TM). Such modelling approaches offer great potential, especially for industrial environments as well as the consumer goods market, to explore increasing amounts of data from diverse and constantly growing data sources. As a holistic concept, it can be utilized in a highly targeted and efficient manner for applications through an optimized combination of Artificial Intelligence (AI) and Cloud Computing (CC) systems.
AI-based Product Quality Controlling in an Anodizing Process
Authors: Prim Joshua , Pöschl Henrik , Guckert Michael
Published: December 2022

Product quality is a crucial factor of customer satisfaction and thus directly influences the competitiveness of a company. In manufacturing companies the quality of production processes obviously has significant impact on product quality. Therefore, establishing automated quality control offers considerable leverage for improving processes without necessarily increasing work efforts and costs. In this paper an artificial intelligence based pattern recognition method for increasing the output of an anodising process for aluminium parts is discussed. In the use case presented here, customers have high aesthetic requirements regarding the products which are used in an expensive market segment with only limited fault tolerance. Preparation of the product parts before going through the anodising process is a manual, tedious, and error-prone task that nevertheless requires highest precision. Small deviations can lead to quality problems causing rejections and enforcing repetitions in production. We discuss the application of visual image processing with an artificial intelligence algorithm integrated into the information system of the company to monitor the process and prevent human errors. Results show that our approach reaches high accuracy and can potentially improve delivery reliability with respect to time and quantity by reducing cost-intensive manufacturing errors.
Digitale Transformation in Echtzeit: Die Ziele von morgen basierend auf dem Datenmodell von gestern
Authors: Herrmann Frank , Wanko BsC Merveille Nangmo , Zeller Bernhard
Published: December 2022

Die Digitale Transformation fordert Unternehmen aller Couleur. Ironischer Weise sind es gerade die bisher verwendeten IT-Systeme mit ihren starren Strukturen, die Unternehmen in Ihrer digitalen Trans-formation oft ausbremsen. Auch wenn die Soft-warehersteller längst reagiert haben und neue, flexib-lere Versionen ihrer Produkte anbieten, so ist ein größerer Softwarewechsel immer noch eine Heraus-forderung für Unternehmen und ein Schritt der wohl-überlegt und geplant sein will. In dieser Arbeit wird deshalb ein Vorgehen vorge-stellt, um mittels In-Memory Technologie und Vir-tualisierung zumindest die wichtigsten Ergebnisse der Transformation bereits auf den bestehenden Da-tenmodellen in Echtzeit zu generieren. Dadurch wird genug Zeit gewonnen, um die eigentliche Transfor-mation der IT-Landschaft geplant und mit der not-wendigen Sorgfalt durchzuführen.
Modelling AGV Operation Simulation with Lithium Batteries in Manufacturing
Authors: Yesilyurt Ozan , Kurrle Marius , Schlereth Andreas , Jäger Miriam , Sauer Alexander
Published: December 2022

In diesem Beitrag wird die Entwicklung eines Produktionssimulationsmodells mit fahrerlosen Transportsystemen (FTS) beschrieben, um relevante Produktionsdaten für die Validierung eines Ansatzes vorzubereiten, bei dem FTS-Batterien als Energiespeicher zur Reduzierung von Lastspitzen in einem Fertigungsunternehmen eingesetzt werden. Zunächst werden die Definition von FTS und der Simulationsmodellierungsansatz vorgestellt. Dann wird die Methode der systematischen Literaturrecherche beschrieben, um relevante bestehende Simulationsmodelle mit FTS-Betrieb zu untersuchen. Mit Hilfe dieser Informationen wird ein Simulationsmodell entworfen und entwickelt. Die letzten Abschnitte umfassen die mit dem Simulationsmodell durchgeführten Experimente, die Analyse und die folgenden Ergebnisse. Die Ergebnisse zeigen, dass die entwickelte Simulation verwendet werden kann, um Daten zur Bewertung des oben beschriebenen Ansatzes in der Produktion zu generieren.
Aplicación de machine learning para campañas de marketing en la banca comercial
Authors: Rosales Reyes Ganímedes T. , Gutierrez Coral Xavier Alberto , Hayashida Marchinares Augusto Enrique
Published: December 2022

Los bancos usan el telemarketing para contactar directamente con los clientes potenciales para sus productos. Este canal de venta es complejo, pues requiere de grandes bases de datos de posibles prospectos y está sujeto a restricciones de tiempo y personal. Este artículo tiene tres objetivos: comparar cinco modelos de predicción basados en algoritmos de aprendizaje automático para encontrar el que ofrezca la mejor precisión predictiva; desplegar un piloto de este modelo; y recomendar una hoja de ruta para la futura arquitectura que lo soporte. Se encontró que el algoritmo seleccionado mejora considerablemente la eficacia de la identificación de clientes que aceptan el producto, que pasó de 11 % a 94 %, por lo que su implementación puede contribuir a la competitividad de estas organizaciones.
Reforzamiento de habilidades aritméticas de fracciones y divisiones en niños de primaria mediante un juego serio educativo
Authors: Coronado Álvarez Renato
Published: December 2022

Si bien la matemática resulta fácil para algunos estudiantes, para otros puede ser una verdadera tortura. Sin embargo, con ella uno puede desde organizarse mejor hasta tener mucho más lógica y razonamiento, además de ser el conocimiento base para muchas profesiones. No obstante, a muchos se les complica y no se sienten motivados a aprenderlas o reforzarlas, principalmente, debido a la metodología tradicional, a la dificultad misma de la matemática o la calidad educativa. Por otro lado, la tecnología y los juegos pueden fomentar el aprendizaje, volviéndose el mejor aliado para potenciar la educación. Más aún, para involucrar a los estudiantes en el pensamiento de orden superior, es importante diseñar contextos de juego y misiones que permitan lidiar con problemas prácticos. Por esta razón, el presente artículo pretende apoyar el proceso de reforzamiento del aprendizaje de fracciones y divisiones a través de un juego serio educativo disponible para plataformas web y móvil, que incorpora una mecánica continua y ejercicios de refuerzo de fracciones y divisiones. Para el diseño del juego e interfaces, se aplicaron las heurísticas propuestas por Nielsen (1994), y para la mecánica, el framework MDA, el cual influyó en el diseño de los niveles, junto con las recomendaciones de un focus group. Posteriormente, se validó si hubo cambios en el desempeño de los estudiantes mediante comparación de grupos, así como la usabilidad, con la finalidad de verificar que las heurísticas estén correctamente aplicadas; finalmente, se midió la experiencia del juego en un grupo reducido de escolares a partir de tercero de primaria.
Dispositivos wearables y los riesgos a la privacidad: una revisión de la literatura
Authors: Taco Jimenez Angelo Rodrigo
Published: December 2022

En la actualidad, está en auge del uso de dispositivos que se pueden llevar puestos (wearable devices, en inglés): tanto niños como adultos han incorporado en su día a día este tipo de dispositivos adicionales al celular, que hoy son una extensión más del ser humano. Esta investigación hace una revisión de qué son los wearables, su uso y los riesgos que implican para el usuario en cuanto a su privacidad y su seguridad. Se eligió la metodología de identificación y control de riesgos entre los resultados de una revisión de alcance en la literatura pertinente.
HUBUNGAN EFIKASI DIRI DAN MOTIVASI BELAJAR MATEMATIKA SISWA KELAS VIII SMP MUHAMMADIYAH KOTA MAKASSAR
Authors: Quraisy Andi , Agus Agus
Published: December 2022

Penelitian ini dilakukan dengan tujuan untuk mengetahui hubungan atau korelasi antara efikasi diri dan motivasi belajar siswa kelas VIII SMP Muhammadiyah Kota Makassar. Penelitian ini adalah penelitian kuantitatif dengan sampel penelitian sebanyak 229 siswa dari kelas VIII SMP Muhammadiyah Kota Makasar tahun ajaran 2020/2021. Teknik pengambilan sampel yang digunakan adalah Stratified Proportional Random  Sampling. Teknik pengumpulan data dalam penelitian ini  menggunakan instrument angket efikasi diri dan angket motivasi belajar. Data dianalisis dengan statistika deskriptif dan statistika inferensial dengan menggunakan analisis korelasi.Hasil penelitian menunjukkan bahwaBerdasarkan hasil perhitungan teknik analisis korelasi diperoleh nilai koefisien korelasi (r) sebesar 0,738. Korelasi kedua variable tersebut berada pada kategori kuat. Hasil tersebut menunjukkan ada hubungan positif yang sangat signifikan antara efikasi diri dengan motivasi belajar. Semakin tinggi efikasi diri maka semakin tinggi pila motivasi belajar. Sebaliknya semakin rendah efikasi diri maka semakin rendah pula motivasi belajarsiswa kelas VIII SMP Muhammadiyah Kota Makassar.
KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA SMP DI KAMPUNG CIBOGO PADA MATERI SPLDV
Authors: Lestari Anggun Budi , Afriansyah Ekasatya Aldila
Published: December 2022

Problem-solving is one of the skills that must be possessed by every student, especially in learning mathematics. By having problem-solving skills, students can solve every problem well in every field. The results of previous studies show that the ability to solve mathematical problems is still low, especially in the SPLDV material. This study aims to determine the mathematical problem-solving ability of junior high school students on the SPLDV material. This research is qualitative research, with the research sample is junior high school students in Cibogo village. Sampling was done randomly and randomly selected four students. The data collection techniques used were observation, tests, and interviews, while the data analysis techniques used data reduction, data presentation, and conclusion drawing/verification. The results showed that students' mathematical problem-solving abilities were still low, seen from the percentage of the results of the analysis of students' mathematical problem-solving abilities, namely the percentage of the first indicator, namely identifying the known elements, which were asked and the adequacy of the required elements, the percentage of the first sub was 100%. While in the second sub, the percentage is 0%. Furthermore, in the second indicator, namely formulating mathematical problems or compiling mathematical models, the first sub percentage is 75% the same as the second sub the percentage is 75%. Then on the third indicator, namely choosing and setting strategies to solve problems inside or outside mathematics, the first sub percentage is 0%, as well as the second sub percentage, is 0%. And in the fourth indicator, namely explaining or interpreting the results according to the original problem and checking the correctness of the results or answers, the first sub percentage is 25%, and in the second sub, the percentage is 25%.
EFEKTIVITAS PEMBELAJARAN DARING BERBASIS EDMODO TERHADAP KEMAMPUAN PEMAHAMAN KONSEP MATEMATIKA
Authors: Harahap Muhammad Syahril , Elindra Rahmatika , Nasution Anggi Anggraini
Published: December 2022

The purpose of this study was to describe the effectiveness of the application of Edmodo-based online learning on the Ability to Understand Mathematical Concepts (AUMC) of students in class VII-1 of SMP Negeri 4 Padangsidimpuan. This research uses descriptive quantitative method with a sample of 15 students.Data collection techniques in this study using observation and tests. Based on the results of the descriptive analysis, it was found: (a) The average application of Edmodo-based online learning was 3.2 with the "Very Good" category, (b) The average student critique before the application of Edmodo-based online learning was 68 with the "Enough" category. and after the implementation of Edmodo-based online learning is 75 with the "Good" category.Furthermore, based on inferential statistics using the t test (paired sample test) and the N-Gain formula, the results obtained show a significant value of less than 0.05 (0.000 0.05) and g = 0.49 with the "Medium" category. This means that the application of Edmodo-based online learning is effective for the AUMC of students in class VII-1 of SMP Negeri 4 Padangsidimpuan.
ANALISIS KESULITAN SISWA DALAM MENYELESAIKAN SOAL OPERASI PECAHAN DITINJAU DARI GAYA BELAJAR
Authors: Rihana Rihana , Sumarni Sumarni , Riyadi Mohamad
Published: December 2022

This study aims to: (1) find out the learning styles of students, (2) find out the difficulties experienced by students in solving fractional operations problems. This type of research is a descriptive qualitative research. The subjects of this study were seventh grade students of SMP Mubarokul Ulum with a total of 22 students who had received fractions material. The data collection procedure begins with filling out a learning style questionnaire. After getting the data on student work, two students with visual learning styles were selected, two students with auditory learning styles and two students with kinesthetic learning styles to be tested, interviewed and documented. The results showed that: (1) out of 22 students, two students had a visual learning style, eight students had an auditory learning style, 10 students had a kinesthetic learning style and there was a discovery of a new learning style, namely a blend of Visual-Kinesthetic learning styles totaling one student. and Auditorial-Kinesthetic learning style amounted to one student. (2) The difficulties experienced by the first subject with the type of visual learning style tend to be difficult in using concepts and the second subject tends to have difficulty in solving verbal problems. The third and fourth subjects who have an auditory learning style tend to have difficulty in solving verbal problems and the fifth subject with a kinesthetic learning style type that tends to have difficulty using concepts while the sixth subject tends to have difficulty using principles