bluuebunny/crossref_metadata_2025_split huggingface dataset:
A peculiar phenomenon and its potential explanation in the ATP tennis tour finals for singles
Authors: Lerner Itamar 
Published: January 2023

Abstract
The ATP finals is the concluding tournament of the tennis season since its initiation over 50 years ago. It features the 8 best players of that year and is often considered to be the most prestigious event in the sport other than the 4 grand slams. Unlike any other professional tennis tournament, it includes a round-robin stage where all players in a group compete against each other, making it a unique testbed for examining performance under forgiving conditions, where losing does not immediately result in elimination. Analysis of the distribution of final group standings in the ATP Finals for singles from 1972 to 2021 reveals a surprising pattern, where one of the possible and seemingly likely outcomes almost never materializes. The present study uses a model-free, optimization approach to account for this distinctive phenomenon by calculating what match winning probabilities between players in a group can lead to the observed distribution. Results show that the only way to explain the empirical findings is through a “paradoxical” balance of power where the best player in a group shows a vulnerability against the weakest player. We discuss the possible mechanisms underlying this result and their implications for match prediction, bettors, and tournament organization.
Possessive pronouns in Russian-German language contact: variation or change?
Authors: Perevozchikova Tatiana 
Published: January 2023

AbstractThe article addresses the question of what happens to internal linguistic variability in a language contact situation by looking at how first-generation Russian immigrants in Germany use two variants of possessive pronouns (reflexive and non-reflexive) for referencing the subject. To what extent does the frequency of the variants, as well as linguistic constraints on their use, remain the same as in the monolingual variety, or change to converge with the structures of the majority language? A forced choice sentence completion task was conducted with 96 adult monolingual Russian and 96 adult bilingual Russian-German speakers to measure the frequency of both variants and the effect of animacy and referentiality of the possessum. The results reveal an increased frequency of the non-reflexive variant in bilingual Russian, indicating convergence with German. At the same time, bilingual speakers observe the same animacy and referentiality constraints on the possessive choice as monolinguals. The effect of linguistic constraints, however, is smaller than the influence of individual speaker-related variables. Overall, our study indicates that convergence in language contact affects the frequency but not the conditioning of the variants and only in some bilingual individuals.
WDR79 promotes aerobic glycolysis of pancreatic ductal adenocarcinoma (PDAC) by the suppression of SIRT4
Authors: Yin Wenke , Song Xiaoyan , Xiang Yue 
Published: January 2023

Abstract
Pancreatic cancer (PC) is an aggressive malignant disease. Pancreatic ductal adenocarcinoma (PDAC) is a main type of PDAC. The inhibition of aerobic glycolysis in PC cells is one of the approaches to treat PDAC. WD repeat protein 79 (WDR79) acts as a scaffold protein and is involved in several physiological processes. Since WDR79 affects the progression of several types of cancers, whereas its role in PDAC remains unclear. This study was aimed to investigate the role of WDR79 in the progression of PDAC and clarify the mechanism. We found that WDR79 was highly expressed in PDAC cells. Knockdown of WDR79 inhibited the growth as well as the motility of PDAC cells, while overexpression of WDR79 contributed to the growth and motility. The ablation of WDR79 restrained aerobic glycolysis of PDAC cells. Mechanically, we found that WDR79 depletion increased SIRT4 expression by suppressing UHRF1 expression, which counteracted the function of WDR79 in PDAC. We thought that WDR79 could serve as a target for treating PDAC.
Optical multi-task learning using multi-wavelength diffractive deep neural networks
Authors: Duan Zhengyang , Chen Hang , Lin Xing 
Published: January 2023

Abstract
Photonic neural networks are brain-inspired information processing technology using photons instead of electrons to perform artificial intelligence (AI) tasks. However, existing architectures are designed for a single task but fail to multiplex different tasks in parallel within a single monolithic system due to the task competition that deteriorates the model performance. This paper proposes a novel optical multitask learning system by designing multiwavelength diffractive deep neural networks (D2NNs) with the joint optimization method. By encoding multitask inputs into multiwavelength channels, the system can increase the computing throughput and significantly alleviate the competition to perform multiple tasks in parallel with high accuracy. We design the two-task and four-task D2NNs with two and four spectral channels, respectively, for classifying different inputs from MNIST, FMNIST, KMNIST, and EMNIST databases. The numerical evaluations demonstrate that, under the same network size, multiwavelength D2NNs achieve significantly higher classification accuracies for multitask learning than single-wavelength D2NNs. Furthermore, by increasing the network size, the multiwavelength D2NNs for simultaneously performing multiple tasks achieve comparable classification accuracies with respect to the individual training of multiple single-wavelength D2NNs to perform tasks separately. Our work paves the way for developing the wavelength-division multiplexing technology to achieve high-throughput neuromorphic photonic computing and more general AI systems to perform multiple tasks in parallel.
The uniqueness of the solution of a mixed problem for three-dimensional hyperbolic equations with type and order degeneracy property
Authors: Aldashev Serik , Kanapyanova Zaure 
Published: January 2023

Abstract
The relevance of the stated subject is conditioned upon the presence of a real possibility to simulate vibrations of elastic membranes in space according to the Hamilton principle using degenerate three-dimensional hyperbolic equations, which is of particular practical importance from the standpoint of the prospects for mathematical modelling of the heat propagation process in oscillating elastic membranes. The purpose of this paper is to study the sequence of the procedure for mathematical modelling of heat propagation in oscillating elastic membranes which is leading to degenerate three-dimensional hyperbolic equations. The methodological approach of this study is based on a combination of theoretical study of the possibilities of constructing mathematical models of heat propagation in oscillating elastic membranes with the practical application of methods for constructing three-dimensional hyperbolic equations with type and order degeneracy to find a single solution to a mixed problem. In the course of this study, the results were presented in the form of a mathematical proof of the possibility of obtaining a single solution to a mixed problem for three-dimensional hyperbolic equations with type and order degeneracy. The results obtained in this study and the conclusions formulated on their basis are of significant practical importance for developers of methods of mathematical modelling of heat propagation processes in oscillating artificial membranes, which is of key importance from the standpoint of prospects for improving methods of mathematical modelling of processes occurring in technical devices used in various fields of modern industries.
Krieg der Narrative – narratologische Anregungen für religiöse Bildung
Authors: Franzenburg Geert 
Published: January 2023

Zusammenfassung
Äußerungen der Hauptkontrahenten im Ukraine-Krieg, Putin und Selenskyi, werden aus narratologischer Sicht daraufhin untersucht, welche Narrative in ihnen auftauchen und wie diese verwendet werden. Indem ihr ursprünglicher und neuer Kontext rekonstruiert und auf mögliche Instrumentalisierung im Blick auf Deutungshoheit und Umdeutung hinterfragt wird, ergibt sich eine Sensibilisierung im Blick auf narrative Konstrukte und Dekonstruktionen in (religiösen) Bildungskontexten.
Refugees welcome! Service Learning als Beitrag zur Demokratiekompetenz am Beispiel des Engagements für Geflüchtete
Authors: Markert Ann-Sophie 
Published: January 2023

Zusammenfassung
Engagement im Kontext von Migration und Flucht stellt einen potenziellen Lernraum dar, in dem vielfältige Kompetenzen erworben werden können. Im Schulkontext wurde für das Lernen durch Engagement das Konzept des Service Learning entwickelt. Der Beitrag stellt dieses innovative Bildungsformat vor, fragt nach seinem Beitrag zur Demokratiekompetenz und skizziert weitere Lernchancen im Hinblick auf das Thema „Krieg“. Mithilfe des Modells der Demokratiekompetenz bei Service Learning und auf der Basis empirischer Studien soll gezeigt werden, dass Schüler:innen durch das Lernen durch Engagement für Geflüchtete im Religionsunterricht verschiedenste demokratische Kompetenzen stärken, ihre „active“ und „inclusive citizenship“ realisieren und dadurch insgesamt für das Thema „Krieg“ und seine Folgen sensibilisiert werden können.
Gestión municipal y calidad de servicio público en la municipalidad de Pueblo Libre, 2021
Authors: Ruiz Gutierrez Miguel Stefano 
Published: January 2023

Este artículo tiene por objetivo explorar la relación que existe entre gestión municipal y calidad de servicio que presta la Municipalidad Distrital de Pueblo Libre, Lima-Perú, en el periodo de gestión 2019-2021. Esta investigación fue de alcance correlacional, descriptivo, diseño no experimental y de corte transversal. La población y muestra estaba constituido por 31 directivos municipales y 31 representantes de juntas vecinales, estos elegidos por vecinos del distrito; a quienes se aplicó dos cuestionarios por separado para recopilar información, un primer cuestionario se aplicó a los 31 directivos para evaluar la que tenía sobre la gestión municipal y otro cuestionario a los 31 representantes de las juntas vecinales para evaluar la calidad del servicio municipal basa en el modelo Serviqual. Para el análisis de datos se utilizó la estadística descriptiva y la estadística inferencial mediante el uso del software estadístico SPSS 25. Los resultados muestran que existe relación directa y significativa entre la gestión municipal y calidad de servicio público con un p=0.000 y r=0.928. Entre los resultados más significativos hallados fueron que el nivel de gestión municipal se percibe como muy deficiente en 0%, deficiente en 6.5%, aceptable en un 35.5%, buena en un 41% y excelente en un 5%; respecto al nivel de calidad de servicio como muy deficiente en un 10.1%, deficiente en un 40.6% aceptable en un 34%, buena en 12.8% y excelente en 2.5%. Los resultados evidencian la existencia de una brecha entre las percepciones del trabajo de los funcionarios públicos y las expectativas de los ciudadanos, brecha que determinó la calidad del servicio público municipal.
Gobierno corporativo, influye en la rentabilidad y preservación de empresas del mercado de valores, 2014-2018
Authors: Monteagudo Gamarra Wilver Efren 
Published: January 2023

Objetivo: Demostrar que las prácticas del gobierno corporativo relacionados con el involucramiento del directorio y el Chief Executive Officer (CEO) en la estrategia del negocio y el ambiente de control, influyen en la rentabilidad de las empresas; de igual forma demostrar que las prácticas vinculadas con el acceso a la información inciden en la preservación del valor de las acciones de las empresas que cotizan en la Bolsa de Valores de Lima, 2014-2018. Método: El diseño de la investigación es no experimental debido a que no hubo manipulación de las variables; y longitudinal, pues se observó el fenómeno tal como sucedió en su contexto natural, siendo su alcance descriptivo con lo cual se creó una instantánea de la situación; es correlacional para explicar el nivel de asociación entre las variables y, exploratorio, para indagar sobre una realidad poco investigada. Los datos fueron obtenidos de la información pública habiéndose seleccionado 10 empresas de las 284 que cotizan en el mercado local. Resultados: Se obtuvieron procesando los datos en una hoja excel; para demostrar que las prácticas vinculadas con la estrategia del negocio y las que corresponden al ambiente de control, influyen de forma directa (positiva) en la rentabilidad financiera con una correlación de 17.8% y 16.7%, y un R² de 3.18% y 2.77%, respectivamente; y a su vez indican que las prácticas relacionadas con el acceso a la información afectan de forma inversa (negativa) en la preservación del valor de las empresas con una correlación negativa de -58.6% y un R² 34.3%.
Procesos de contratación del Estado y gestión institucional: Policía Nacional del Perú
Authors: Saba Castañeda Segundo Felix 
Published: January 2023

The objective of this article was to analyze the incidence of State contracting processes in the institutional management of the National Police of Peru (PNP), 2014-2018. The research design was non-experimental, applied, correlational and analytical. The population consisted of 370 administrative and police personnel of the PNP Logistics Directorate. The sample comprised 188 workers of the PNP Logistics Directorate. The survey technique made data collection possible. The questionnaire was the fundamental tool together with the observation form instrument. The research concludes that the contracting processes have a significant influence on the institutional management of the unit studied, which shows the relationship between the variables. In addition, it was shown that the contracting methods of the unit studied are efficient at a medium level due to the incidence of some procedures of regulations, norms, actions, laws, police personnel with little training and also, scarce intervention of the operative personnel.
Development of transesterification model for safe technology of chemical modification of oxidized fats
Authors: Korchak Mykola , Bragin Oleksandr , Petrova Olena , Shevchuk Natalia , Strikha Liudmyla , Stankevych Serhii , Svishchova Yana , Khimenko Natalia , Filenko Olesya , Petukhova Olena 
Published: January 2023

The object of research is the process of chemical transesterification of palm olein with increased oxidation indicators in the presence of potassium glyceroxide catalyst.
Transesterification is an important method of fat modification. The use of fats with increased oxidation indicators leads to the deactivation of common catalysts and a decrease in the efficiency of the process. There is a need to increase the dosage of catalysts, increase the process temperature, which negatively affects the product quality.
An alternative transesterification catalyst (potassium glyceroxide) was used for the transesterification of palm olein with increased oxidation indicators.
Palm olein (CAS Number 93334-39-5) with standard indicators was used: melting point 22.4 °C, peroxide value 0.8 ½ O mmol/kg, anisidine value 0.3 c. u. Olein was subjected to heating at a temperature of 90 °C in order to increase oxidation indicators, after which it underwent transesterification. The difference in melting points of the initial and transesterified palm olein was used as a parameter of process efficiency.
The maximum limit values of the oxidation indicators at which the process is effective are: peroxide value 12.7 ½ O mmol/kg, anisidine value 10.4 c. u. The difference in melting points is 12.1 °C, which indicates the efficiency of the process. The qualitative indicators of the obtained transesterified fat indicate compliance with DSTU 4336 (CAS Number 97593-46-9): melting point 34.5 °C, peroxide value 1.2 ½ O mmol/kg, anisidine value 1.0 c. u.
The results of the research make it possible to use fat with increased oxidation indicators without pretreatment and predict the efficiency of transesterification depending on the fat indicators. This will increase profitability and reduce production waste.
Numerical solutions for crack problems during elastomer forming
Authors: Kamoon Badr , O. Dahi Salam , Kadhim Hamzah 
Published: January 2023

Generically, thermoset elastomers are often referred to as rubber. It is characterized by the chemical bonding between polymer chains. One of the important problems that plague elastomer manufacturing and rubber parts under service is cracks. Predicting the main factors affecting crack propagation trajectories during forming and after curing time is an important challenge. For this purpose, numerical analysis was implemented by using the commercial ABAQUS/CAE software package. A three-dimensional model was established to predict the important factors that affect this process. During the analysis, the effect of forming velocity and the amount of kinetic energy on the distortion of rubber material and crack propagation is explored in detail by using different forming punch velocities. The drop velocity of the upper insert (punch) on the rubber pad was taken as 10 m/s, 7 m/s, and 5 m/s, respectively. Consequently, while each forming velocity will generate different kinetic energy between the interaction surfaces, the change in crack behavior and the normal stress can be monitored in different positions. As a result, among these velocities, it was found that the low forming velocity of the upper insert (punch) is better than the others in forming rubber where cracks and distortions were at minimum values. Also, the amount of kinetic energy is low enough in the case of low speeds and can affect the results significantly. In addition, it was found that the generated stresses have a significant impact on the crack development in a specific area, especially near the fillets and sharp edges. It was concluded that calculating the parameters affecting the crack growth and predicting the crack propagation trajectories using the finite element method is a significant method for predicting and solving crack problems before tool fabrication
Construction of a model for an enclosing structure with a heat-accumulating material with phase transition taking into account the process of solar energy accumulation
Authors: Kudabayev Ruslan , Mizamov Nursultan , Zhangabay Nurlan , Suleimenov Ulanbator , Kostikov Andrii , Vorontsova Anna , Buganova Svetlana , Umbitaliyev Altynsary , Kalshabekovа Elmira , Aldiyarov Zhumadilla 
Published: January 2023

This paper proposes a mathematical model and a procedure for calculating the thermal state of the enclosing structure of the building, which includes an energy-active panel that accumulates solar radiation due to the phase transition of the heat-accumulating material. The mathematical model is based on a two-dimensional non-stationary nonlinear equation of thermal conductivity, which describes the process of heat transfer in the bearing layer of the enclosing structure and the energy-active panel. The model also includes equations describing radiant heat transfer between opaque and translucent bodies. To correctly describe solar insolation, the ASHRAE 2009 model was used in conjunction with the daily change in the position of the Sun in the sky.
To solve the system of equations that make up the mathematical model, an iterative procedure has been developed, which involves alternating solution at each time step of the two-dimensional equation of thermal conductivity and a set of algebraic equations of convective and radiant heat transfer.
The study’s result established that the amount of accumulated energy in the heat-accumulating material of the phase transition during daylight hours increases significantly, from 15 to 35 %. At night, the surface temperature of the heat-accumulating element in structures using a material with a phase transition is greater than in the case of heat accumulation only in the bearing layer. As a result, it is possible to select from 70 to 120 % more accumulated heat while the presence of high-thermal partitions in a heat-accumulating material with a phase transition contributes to an increase in accumulated heat and usable heat
Development of technology of snacks with different types of breading for fast food enterprises
Authors: Andrieieva Svitlana , Kolesnikova Maryna , Grinchenko Olha , Iurchenko Svitlana , Dikhtyar Aliona 
Published: January 2023

The object of this study is snack technologies for various types of gluten-free breading for "Fast food" ERI format.
It has been determined that snacks are gaining more and more demand in restaurants of the "Fast food" format. From the point of view of a balanced diet, snack products for fast food are rich in cholesterol with increased amounts of sugar, salt, and gluten protein. In the course of technological testing, components for dry breading were selected: rice flour, extruded oatmeal and corn flakes, sesame seeds. For the manufacture of snacks, the main raw material was chosen – shrimp meat, poultry, soft cheese "Brie". To give the snacks more refined and rich tastes, spices were used: turmeric and ground paprika.
For the most part, the technologies are designed for freezing and subsequent heat treatment (deep-frying). According to this, the specificity of the development of two-layer breading was investigated, namely the development of the "Klyar" semi-finished product and dry breading. The composition of the "Klyar" semi-finished product includes cold-swollen starch "Cold Swell", which is able to quickly swell and form a colloidal suspension.
Due to the functional properties of starch "Cold Swell", the cycle "freezing – heat treatment" took place without significant heat loss. With a starch content of 3.5 % in the breading composition, during their cutting, homogeneity of the main product and breading was observed. Carrying out technological testing, it was determined that the starch content is 3.5 %, the losses during heat treatment are up to 8.0 %, thereby confirming that the properties of starch do not only bind but also hold moisture.
During the study of microbiological indicators, it was determined that frozen snacks are capable of withstanding long-term storage for up to 90 days at a temperature of 18...– 24 °C.
Implementation of convolutional neural network for predicting glaucoma from fundus images
Authors: Rakhmetulayeva Sabina , Syrymbet Zarina 
Published: January 2023

The contributions of this paper are two-fold. First, it uses machine learning tools to detect and monitor glaucoma. Second, it provides insight into medicine, which can assist healthcare professionals in improving disease diagnostic accuracy and help to reduce the progression and degeneration of retinal ganglion cells in patients. Glaucoma is a group of eye diseases that damage the optic nerve, which can cause vision loss and blindness at any age. The main symptom of glaucoma in the early stages is high internal eye pressure. It is still unknown what causes these diseases to develop, but if not treated, they result in optic nerve atrophy. For this reason, in this paper we propose a novel deep learning system for the automatic diagnosis of glaucoma using a convolutional neural network for classification, which demonstrates improved performance and records computation time for fundus images. The results showed an accuracy of 94 % and a loss value of only 0.27. The model we have created to investigate with Keras helped us achieve good results in our training and testing process. These study results demonstrate the ability of a deep learning model to identify glaucoma from fundus images. Increasing the filter size and training the model resulted in a higher accuracy rate. A population survey that was conducted in 2019 shows that most patients with glaucoma become aware of their disease late, after the disease causes a high level of optic nerve damage and a high percentage of vision loss. Early diagnosis and detection of glaucoma using optic nerve imaging technology have gained wide clinical interest in stopping or slowing the progression of the disease, allowing the development of new algorithms to automate the diagnosis of eye diseases