bluuebunny/crossref_metadata_2025 huggingface dataset:
Agronomic performance of the Camelina sativa accession and its biogas production
Authors: Kovačić Đurđica , Popović Brigita , Kralik Davor , Engler Meri , Ergović Lara , Bukvić Gordana , Herman Goran , Ranogajec Ljubica , Stipešević Bojan
Published: December 2022

This research was set up in 2013 in agroecological conditions of continental Croatia (3 different locations). The extperiment was set as a split-plot design in four replicates, with three levels of the main treatments of soil tillage (CT - plowing; MD - reduced multiple disk harrowing; SD - reduced single disk harrowing) and levels of subtreatment fertilization (F0 - control; F1 - standard KAN fertilization; F2 - fertilization with 5% urea solution; F3 - Profert Mara; F4 - Profert NGT; F5 - Thiofer; F6 - EM Aktiv). The highest camelina grain and biomass yield was achieved in the subtreatment F6 when using microbiological fertilizer EM Aktiv, regardless of the applied agrotechnics. After the harvest experiment, anaerobic batch co-digestion of camelina and cow manure was conducted under thermophilic conditions to determine camelina's potential for biogas production. The biogas potential of camelina was expressed as biogas and methane yields which ranged from 382.00 and 246.04 cm3 g-1 VS, respectively. If compared to maize which is often used as a standard for comparison of methane yields, maize methane yields are higher by 21 to 40%
Continuous control algorithms for conveyer belt routing based on multi-agent deep reinforcement learning
Authors: Zhurba Yaroslav , Filchenkov Andrei , Azarov Arthur , Shalyto Anatoly
Published: December 2022

Introduction: We consider the problem of routing of piece cargo by a conveyor system. When moving cargo pieces, it is necessary not only to minimize the time of transportation, but also to minimize the energy spent on it. Purpose: Development of a routing algorithm that is adaptive to changes in the topology of the routing graph and is able to optimize the delivery time and the consumed energy. Results: We propose an algorithm based on multi-agent deep reinforcement learning that places agents at the vertices of a conveyor network graph and uses a new state value function. The algorithm has two tunable parameters: the length of the path along which the state value function is calculated, and the learning coefficient. Through the selection of parameters, we have revealed that the optimal values are 2 and 1, respectively. An experimental study of the algorithm using a simulation model has shown that it allows to reduce the number of collisions of moving objects to zero, demonstrates stable results for both optimized scores, and also leads to a lower energy consumption compared with the method used as a baseline. Practical relevance: The proposed algorithm can be used to reduce delivery time and energy when managing conveyor systems.
Estimation of delay times from time series of ring self-oscillatory time-delay systems
Authors: Ponomarenko Vladimir , Lapsheva Elena , Prokhorov Mikhail
Published: December 2022

Introduction: The problem of delay time estimation in ring self-oscillatory time-delay systems arises in various fields of science and is of great importance in the study of real systems generating chaotic time series. Purpose: To conduct a comparative analysis of the operation of methods for the reconstruction of time-delay systems from chaotic time series in the absence and presence of additive noise. Methods: Methods for estimating the delay time according to the statistics of extrema, using the autocorrelation function and the method of order time asymmetry are used. Based on the latter method, a method is proposed that is focused on estimating the delay times in systems with two delays. Results: We carry out a comparative analysis of the operation of four methods for reconstructing the delay times in self-oscillating time-delay systems from chaotic time series using the example of Ikeda systems with one and two delay times. We demonstrate that in the absence of additive noise, the delay time estimation method based on statistics of extrema is the most accurate one for the case of time series analysis of systems with both one and two delays. In the presence of additive noise, the modified method of order time asymmetry proposed in the work in the case of the analysis of systems with one delay time works no worse than the method of the autocorrelation function and order time asymmetry. In the case of two delay times, the modified order time asymmetry method works better than others. Practical relevance: The described methods can have a practical application in estimating the delay time of self-oscillating systems, yet the level of additive noise can affect the accuracy of the estimate.
УДОСКОНАЛЕННЯ МЕТОДУ МАТЕРІАЛІЗОВАНИХ ПРЕДСТАВЛЕНЬ У РЕІНЖИНІРИНГУ БАЗИ ДАНИХ
Authors: Бойко Вячеслав , Форкун Юрій
Published: December 2022

Розглянуто основні методи реінжинірингу бази даних у сучасних програмних системах. Виконано порівняння та аналіз найбільш популярних та окреслено основні етапи реінжинірингу сховищ. Удосконалено метод матеріалізованих представлень, який використовується на етапі редизайну табличної структури бази даних, що дозволяє застосовувати представлення як один із оптимізаційних компонентів на постійній основі, а отже, і значно підвищує продуктивність запитів вибірки даних у програмній системі.
EVALUATION OF QUALITY INDICATORS OF FUNCTIONING CYBER PROTECTION MANAGEMENT SYSTEMS OF INFORMATION SYSTEMS
Authors: KHOROSHKO Volodymyr , KUDINOV Vadym , KAPUSTIAN Mariia
Published: December 2022

Evidence of the complexity of the cybersecurity problem is the rapid increase in the number of information security breaches and losses on cybersecurity threats combined with an increase in the average loss from each of the breaches. Therefore, it is necessary to create requirements for a cybersecurity system that could provide more opportunities in the choice of methods in the management of the protection of automated information systems.

The task of determining the optimal quality indicators of information resource management systems of automated systems is one of the most important problems in designing integrated information security systems. This is due to the complexity of such systems, the presence of many variable parameters, and the complexity of calculating quality indicators. In addition, the determined quality indicators should not only ensure the optimality of the target function, but also the stability of the protection system in a wide range of external adverse effects. The problem is that the existing methods of calculating integrated quadratic estimates (IQE) do not take into account errors in determining quality indicators, as well as the vector nature of these indicators.

The aim of this work is to solve problems (development of algorithms), which are a problem of optimization of stable protection management systems using vector objective functions. Based on the model of information management system protection of information resources in the form of an automatic control system, the method of forming integrated quadratic estimates (IQE) of control error is proposed. This method takes into account the weights of the estimates at the desired installation time and standard transfer functions. Algorithms for calculating IQE according to the modified Katz formula and Ostrom's method for arbitrary order control systems are developed, including vector representation of the objective function of the protection system. The vector penalty function is proposed and the algorithm of its calculation is developed to display the degree of infringement of conditions of stability of parameters of the system of protection by the Rauss-Hurwitz criterion.
ПІДСИСТЕМА ЗБОРУ, ЗБЕРІГАННЯ ТА ВІЗУАЛІЗАЦІЇ ОПЕРАТИВНИХ ДАНИХ СИСТЕМИ ПІДТРИМКИ ПРИЙНЯТТЯ РІШЕНЬ ДЛЯ УПРАВЛІННЯ МІКРОГІД
Authors: Шендрик Віра , Парфененко Юлія , Майковський Валентин , Юрченко Денис , Шендрик Сергій
Published: December 2022

У статті визначено, що впровадження до енергосистем різного роду відновлюваних джерел енергії перетворюють їх на складні кібертехнічні системами, які потребують інтегрованого інтелектуального управління. Зростання складності процесів взаємодії у таких технічних енергетичних системах підвищує складність процесу управління ними. Особливо збільшується складність управління, коли така енергетична система експлуатується як мікрогрід, оскільки вона у цьому випадку має певну автономію у функціонуванні, і досягти ефективного управління нею можливо лише, якщо особа, яка приймає рішення буде мати якісну інформаційну підтримку, та мати змогу повністю відслідковувати всі інформаційні потоки. Для забезпечення ефективного функціонування мікрогрід необхідно збирати та використовувати у процесі аналізу дані про поточний стан енергосистеми, про параметри оточуючого середовища. Процес моніторингу необхідно виконувати у реальному часі. Це дозволяє відслідковувати різного роду зміни, та вчасно на них реагувати, змінюючи параметри мікрогрід. Складність збору даних полягає у тому, що дані надходять з різних джерел та у різні часові інтервали. Для забезпечення процесу збору даних запропоновано функціональну та математичну модель, які описують процес попередньої обробки великого обсягу зібраних даних, їх верифікацію та зберігання. Обмін даними та їх зберігання для процесу моніторингу забезпечується оперативною базою даних, логічна схема, якої також запропонована у цій статті. Для успішного формування рішення великий обсяг контрольованих даних та результати прогнозування виробництва та споживання електричної енергії запропоновано реалізувати як підсистему візуалізації. Саме поєднання оперативного моніторингу поточного стану енергосистеми з рішеннями інтелектуальних служб системи підтримки прийняття рішень через оперативну базу даних надають особі, що приймає рішення, у зручній візуалізованій формі інформацію про поточний стан системи та оптимальну конфігурацію планування ресурсів і план використання, який орієнтується на підвищення рівня електричних послуг.
RULES AND METHOD OF SUPPORTING THE DECISION-MAKING REGARDING THE POSSIBILITY OF EXTRACORPOREAL FERTILIZATION
Authors: Hnatchuk Yelyzaveta , Hovorushchenko Tetiana
Published: December 2022

Considering the impossibility of applying for the paid services of a lawyer in most medical clinics, the legal correctness of decisions regarding the provision of various medical services can be significantly increased by a decision support system or technology regarding the possibility of providing medical services – at the expense of providing a conclusion on the possibility or impossibility of providing this or that medical service, taking into account civil legal grounds.

The conducted analysis proved that none of the known systems/technologies are intended to support decision-making regarding the possibility of providing the extracorporeal fertilization, taking into account civil legal grounds. Although the use of such cross-disciplinary systems/technologies can significantly increase the correctness of the decision from a legal point of view, protect the doctor and the patient from legal collisions, provide an opportunity for a quick and free check of the presence of all significant conditions from a legal point of view, as well as recommendations for further implementation or non-implementation of extracorporeal fertilization procedures.

The article develops rules and method of supporting the decision-making regarding the possibility of extracorporeal fertilization based on the civil legal grounds, which reflect the peculiarities of decision-making on whether or not to carry out extracorporeal fertilization based on the assessment of the sufficiency of information (compliance with requirements) for such a procedure, ensure adaptation to the specifics of the subject area and is a theoretical basis for the development of a decision-making support system/technology regarding the possibility of providing the extracorporeal fertilization, taking into account civil legal grounds.

The developed rules and method ensure: verification of the agreement for the provision of extracorporeal fertilization services for the fulfillment of all essential conditions for the provision of in vitro fertilization from the point of view of civil legal grounds without the participation of legal experts, which ensures the possibility for medical clinics to comply with the requirements of current civil legislation without paying for the services of hired lawyers; a conclusion on the possibility or impossibility of providing the extracorporeal fertilization from the point of view of the civil legislation of Ukraine.

The direction of the authors' future research is the realization of the subsystem of information technology for medical decision-making support taking into account civil legal grounds in the form of web-oriented software based on the developed method of supporting the decision-making regarding the possibility of extracorporeal fertilization taking into account civil legal grounds.
THEORETICAL AND METHODOLOGICAL ASPECTS OF ONTOLOGICAL MODELING OF INFORMATION-ANALYTICAL SYSTEM OF SCIENTIFIC PERSONNEL TRAINING
Authors: Rostoka Marina
Published: December 2022

The development of science and education is now exposed to a huge impact of such civilizational challenges as: climate change, which is due to global warming, excessive and unjustified consumption of material goods, environmental pollution; pandemic COVID 19 and the emergence of new diseases and as the quintessence of human irresponsibility and callousness, activation on a global scale, and in Ukraine in particular, hybrid wars against universal values. This situation causes a massive shift to a remote format of the organization of scientific and educational (research) process, including the training of scientific personnel in higher education institutions and research institutes, using certain networked information and computer technologies and systems.
Therefore, the purpose of the study, the current results of which are presented in the article, is to study the problems of applying the methodology of building information-analytical systems (hereinafter – IAS), in particular digital IAS, and to substantiate the basis and highlight in this context the main aspects of creating an ontological model of scientific personnel training (hereinafter  – SPT) system as part of a single information space of scientific education. The author raises the problem of the need to apply transdisciplinary methodology of building digital information-analytical system of scientific personnel training in higher education institutions (hereinafter – HEI) and research institutes (hereinafter – RI) of Ukraine in a distance. Particular attention is paid to the ontological modeling of IAS components of the relevant organization of effective scientific and educational (research) process. Also basic definitions of the ontological approach to the training of scientific personnel disclosed. The article considers certain requirements for the design and functioning of intelligent educational systems and programs that provide adaptive information-analytical support of scientific personnel training on the basis of transdisciplinary, system, competence and ontological approaches. The analysis of a certain base of sources (researches and publications) is given. Thus, the methodological basis for building a digital information-analytical system in the specified context is presented and certain fragments of its ontological model are proposed. The presented approbation of applied aspects of the author's research is in the ascertaining stage. Subsequent results of analytical-synthetic and formative stages of the presented doctoral research are passing into the phase of experimental verification and the obtained data will be made public in the following publications of the author.
ONTOLOGICAL SUITABILITY ANALYSIS OF RAILWAY TRACKS FOR HIGH-SPEED TRAFFIC
Authors: Shynkarenko Viktor , Zhuchyi Larysa
Published: December 2022

High-speed railways are developing rapidly in the world and, in particular, in Europe, and are promising in the territory of Ukraine. The purpose of the work is to check the consistency of the existing railway characteristics with the high-speed rail transport regulations by ontological means. The ontology was developed in the Protégé and MRcube software environments in the OWL DL profile using the Extreme methodology. Ontology population is automated in OpenRefine and INCEpTION based on texts and tables semantic annotation. Data extraction is done in Tabula for tabular data resources and FineReader for drawings. The ontological support was developed according to the model of multi-level concretization employing a distinction between data and rules modules. The ontology of resources is based on a tabular knowledge representation model. The usability of the proposed approach is experimentally evaluated on the example of the sections of the «Mariupol Port-Volnovakha» railway in Ukraine, «Plovdiv-Burgas» in Bulgaria and «Coswig-ESig G» in Germany and the corresponding regulations. The ontology can be used for conventional railways (e.g., 160 km/h), as well as further integration with the railway train model can be done. The ontology was evaluated by the domain expert and using the OntOlogy Pitfall Scanner. The scientific novelty of the work lies in the integration of heterogeneous resources of railway infrastructure characteristics by ontological means. The semantic annotation and formalization of railway regulations have been employed. Railway transport data extraction and validation processes were improved. The practical significance of the work lies in the possibility of improving the safety of train traffic by checking the suitability of railway tracks to ensure the declared speeds of high-speed and conventional railways.
CREATING A MODEL OF THE INFLUENCE OF SOUNDS ON THE EMOTIONAL STATE OF MAN
Authors: Havrysh Bohdana , Tymchenko Оlexandr
Published: December 2022

The environment is full of various sounds - signals registered by human and animal hearing organs, which in terms of frequency and strength merge into a monotonous, incoherent sound. The physical carriers of signals reaching the hearing organs are acoustic (sound) waves – mechanical waves that propagate in the air and are perceived by the hearing organs. Human hearing organs can perceive sounds in a fairly wide range of frequencies and intensities. The range of sounds heard by a person is limited by two threshold curves: the lower one is the threshold of perception, the upper one is the threshold of pain sensations. The human hearing threshold is 0 dB at a frequency of 1000 Hz, and the pain threshold occurs from a sound of 140 dB [2]. As long as there have been wars, it is known that mass battle cries and drumbeats oppress the enemy. The sirens of attack planes and bombers make him feel terrified and want to run away. Now an explanation has been found for this: loud sounds excite a person, contribute to the influx of a large amount of hormones into the blood, in particular, adrenaline, as a result of which there is a feeling of danger and fear [3]. There is a description of existing approaches to assess the impact of sounds on the emotional state of man, which will be the first step towards creating a model for analyzing the impact of sounds on the emotional state of man based on the theory of discrete emotions. Generated values for emotional evaluation of sounds.
Developing E-book Batang Heaven of Asia as Descriptive Text Teaching Material
Authors: Rizkiyah Sri , Ulya Inayatul , Hayati Rizka
Published: December 2022

Technology in this era as a friend for human. It can be good or bad depending on the user. Now almost of all generation prefer the practical thing to use in their life, included in learning process. Both of teachers and students prefer to have an effective and efficient learning process. The researcher use the situation to conduct research and development. The research “Developing Ebook “Batang Heaven of Asia” as Descriptive Text Teaching Materials” was the utilization of technology in learning process. The e-book can help the teachers and the students as learning source. The research answered two questions (1) How is the need of developing e-book “Heaven of Asia” as descriptive text teaching materials? (2) How is developing e-book “Batang Heaven of Asia” as descriptive text teaching materials? The development procedures that used in this research was PPE from Richey and Klein 2005 . Those procedures were planning, production, and evaluation. In planning, the researcher distributed the questionnaire to get teachers’ and students’ needs. From the data result, the researcher analyzed the data and designed the product based on teachers’ and students’ needs. The process of producing this e-book, the researcher observed the tourism destination before writing the text. The title of e-book was Let’s Explore Batang. It contained the basic standard and learning goals, the materials, the texts, worksheet and glossary. This RND arrange e-book as descriptive text teaching material based on description of tourism destination in Batang Regency. This e-book was not only the texts but there were some pictures of the destination described. The e-book validated by some experts, they were English lecturers and English teacher. Keywords: e-book, RND, needs analysis, materials
Racial Prejudice Towards African-American Portrayed In 12 Years A Slave
Authors: Ida Nur , Wulandari Diyah Fitri
Published: December 2022

Racial prejudice is a wrong assessment in society which is done by particular group towards other groups based on their visual appearance. These researches aimed to investigate the factors causing racial prejudice as depicted in 12 Years A Slave movie. The data were collected by using a qualitative method. This literary research examines the racial prejudice of white people towards black people. White people have negative prejudice towards black people without enough knowledge. The result of the research illustrated the racial prejudice arises because of two factors. They are Hereditary Categorical Thinking about Others and In-Group Superiority and Out-Group Discrimination Keywords: 12 Years a Slave, Racism, Racial Prejudice, Slave Narrative
A Sociolinguistic Study Of The Variety Of Ngkalongan Dialect Javanese Spoken By Pekalongan People
Authors: Putri Erito Silvia Nanda
Published: December 2022

Dialect is a kind of language style that happened in some nations of the country especially in Indonesia. One of the varieties of dialect is Ngkalongan dialect which is characterized by variations in pronunciation, grammatical, and discourse features. The objective of this study is to explain the dialect found in the video that will be analyzed by qualitative research design. The data is taken from the video youtube channel. The data collection method by video observation. The researcher used an instrument observation checklist and taking notes to analyze the data. The result showed that there are 20 dialect that used by the speakers in speaking ngkalongan dialect. The researcher suggests for other researchers who will conduct research dealing with another dialect in Indonesia. Keywords: Dialect, Ngkalongan Dialect, Pekalongan Javanese spoken
An Analysis Of Intrinsic Elements And The Portrayal Of Anxiety In Linkin Park’s Song Lyrics
Authors: Cahyaningrum Ika Oktaria
Published: December 2022

This thesis is aimed to analyse the types of intrinsic elements and the portrayal of anxiety in Linkin Park’s song lyrics entitled Numb, In The End, Crawling, Faint, and Breaking The Habit. This thesis applied theories from Culler (2000), Childs and Fowler (2006).

This research is descriptive qualitative research. The data in this research are lyrics in Linkin Park’s song. The data are performed by categorizing the lyrics to the types of intrinsic elements. The types observed to find out the portrayal of anxiety. The researcher uses document analysis to get the data. In analyse the data, the researcher uses New Criticism. In validate the data, the researcher used triangulation theory.

The research findings show that the researcher found 237 total data of Linkin Park song lyrics from those five songs. The data are classified into the types of intrinsic elements which consist of Ambiguity (14 data), Paradox (7 data), Irony (18 data), Tension (150 data) and Imagery (169 data). Of the data, Tension and Imagery types are more dominant than the other types. It portrayed the anxiety about fear, worry, stress, disappointed, sad, confused, and frustrated.
Idioms Analysis In The Coldplay Songs Entitled Hymn For The Weekend, Amazing Day, A Head Full Of Dreams, and Birds
Authors: Hidayah Arini
Published: December 2022

This research aims to analyze the types of idioms and the meaning of idioms in Coldplay's song, entitled Hymn For The Weekend, Amazing Day, A Head Full Of Dreams, And Birds by using F R Palmers theory of idiom types and Geoffrey Leech's theory of idiom meanings. This research is a qualitative descriptive research. The data of this research are Coldplay song lyrics. Data analysis was carried out by categorizing all lyrics into types of idioms and idiom meanings. These types are analyzed to find out what meanings are in the song lyrics. Research used document analysis to obtain data. In analyzing the data, the research used New Criticism. In validating the data, the research used triangulation theory.The research found that the researchers found 176 of the four song lyrics. The data are classified into idiom meanings which consist of Conceptual Meaning (1 data), Connotative Meaning (22 data), Stylistic Meaning (24 data), Affective Meaning (84 data), Reflective Meaning (15 data), Collocative Meaning (1 data) , Thematic Meaning (28 data). Then the researchers also clarifies into idiom types which consist of phrasal verb (11 data), preposition verb (10 data), partial idiom (8 data) of the data, Affective and Phrasal verb meanings are more dominant than other types. This describes the speaker expressing more personal feelings or emotions and using verbs with adverbs.
Analysis Of Code Switching On Sunny Dahye Instagram Account
Authors: Isnaini Janatun , Anindita Widyashanti K
Published: December 2022

This research is a descriptive qualitative research. The data in this study are the captions and comments of Sunny Dahye Instagram account. Technique of collecting data is documentation which is online Instagram. Technique of analyzing data is reducing data, displaying data and conclusion. To validate the data, the researchers used the triangulation data based on source, method, researcher and theory.

The research findings show that the types of code switching found on Sunny Dahye Instagram account are inter sentential switching with 72 utterances, intra sentential switching with 24 utterances, and tag switching / emblemtic switching with 4 utterances,  The dominant types of code switching is inter sentential switching by the reasons of talking about particular topic with 18 utterances, interjection with 5 utterances, expressing group identity with 10 utterances, being emphatic about something with 8 utterances, repetition used for clarification with 12 utterances, to soften and strengthen request or command with 42 utterances, real lexical need with 5 utterances. Based on the finding, it can be drawn that Sunny Dahye Instagram account do not use quoting somebody else and to exclude other people when a comment is intended for only limited audience in her captions and comments.

 

Keywords: Code Switching, Types and Reasons of Code Switching, Sunny Dahye, Caption, Comment.
Deixis Used Jo March In Little Women Movie
Authors: Margareta Febriana , Kinanti Dwianggi Puspa , Hidayah Arini
Published: December 2022

 

The title of this research is deixis which is used by Jo March in the film Little Women. This study focuses on deixis using the theory of Levinson in the film Little Women. The object of this study is the utterances delivered by Jo March as the main character in the film Little Women. First, this study aims to explain the kinds of deixis used by Jo March as the main role in the film Little Women. Second, this study aims to explain the reference to the word deixis used by Jo March as the main role in the film Little Women. This research method used by researchers is a qualitative descriptive method. The research data was taken from the film Little Women, directed by Greta Gerwig and written by Greta Gerwig based on the novel Little Women by Louisa May Alcott. This film originated from America in 2019. The results showed that there were 352 speech data containing deixis. From these data, there are three types of deixis studied. From these data, there were 308 person deixis, 20 place deixis, and 24 time deixis. The deixis phrase that is often used by Jo March is the I expression which refers to Jo which is included in the singular first person deixis (singular first person deixis). There are 120 data for expression I. Meanwhile, the reference most often used by speakers themselves is 308 data.
Shopee” Advertisement: A Dream Beyond Reality
Authors: Rahmawati Risma Nur
Published: December 2022

Shopee claims that during QS-2020 there were 260 million transactions on the Shopee platform with an average daily rate of 2.8 million transactions. This indicates that shopee is one of the e-commerce that is in demand by the people of Indonesia. The product in this case is only a commodity that fulfills hopes, dreams, desires to show self-existence. Shopee offers everything that humans need from genuine to imitation goods. Based on the results of the analysis of the two problem formulations above, it can be concluded that Shopee is an application that is in demand by many people because it offers free shipping on beautiful dates. In addition, shopee also carries an orange color brand that is easy for the public to remember. Advertising is one of the important factors in influencing the culture of consumerism in society.

 
Students’ Perception on Quizizz As Digital Game-Based Learning Tool For Formative Assessments
Authors: Purwati Tuti
Published: December 2022

This study is entitled “Students’ Perception on Quizizz as Digital Game-Based Learning Tool for Formative Assessments (A Study at the Tenth Grade of SMK Negeri 1 Wanareja in the Academic Year of 2021/2022)”. The study aimed at knowing how students’ perception on Quizizz as Digital Game-Based Learning tool and how Quizizz used for formative assessment. This research used a qualitative descriptive design. The subject of this research was the tenth-grade students of SMK Negeri 1 Wanareja in the academic year of 2021/2022. The population was 609 students divided into 17 classes consisted of 7 majors. The samples of this research were 150 students that were taken randomly from all classes. The data were collected using questionnaire, interview and document. Method triangulation was used as data validation technique. The result of this research showed that students gave positive responses on Quizizz as Digital Game-Based Learning tool dealing with students’ learning and engagement, rules and goals, clear outcomes and immediate feedback, and also students’ interaction. They also gave positive responses on Quizizz used for formative assessment in English class. Furthermore, the activities on Quizizz elicited evidence of learning, provided feedback as well as allowed students to own their learning.

Keywords: students’ perception, Quizizz, Digital Game-Based Learning, formative assessment
Coğrafya eğitiminde potansiyel bir açık hava laboratuvarı: Karapınar ve çevresi
Authors: TUNCER Tahir , PINAR Adnan
Published: December 2022

Coğrafya eğitiminde arazi çalışmalarının büyük bir önemi bulunmaktadır. Yapılan incelemelerde Türkiye’de ortaöğretimde 2018-Coğrafya Dersi Öğretim Programı (2018-CDÖP)’ndaki hedef kazanımlar ile arazi çalışmaları yapılacak sahaların ilişkilendirilmesine yönelik yeterli düzeyde çalışma yapılmadığı görülmüştür. Yapılan bu çalışmayla CDÖP ve saha ilişkisinin kurulması açısından literatüre katkı sunmak amaçlanmıştır. Bu doğrultuda; farklı coğrafi unsurları dar bir sahada bir arada bulunduran ve çok nüfuslu birçok merkeze günübirlik ulaşım noktasında olmasından dolayı Karapınar ve çevresi 2018-CDÖP - saha ilişkisi açısından ele alınmıştır. Bu araştırma nitel araştırma yöntemlerinden geleneksel delphi tekniği ile gerçekleştirilmiştir. Araştırmanın saha verileri araştırmacıların Karapınar çevresine uzun yıllardır yaptıkları arazi çalışmalarından ve sahayla ilgili yapılan önceki çalışmaların taranmasından elde edilmiştir. Sonrasında, 2018-CDÖP’deki kazanımlar ve ilgili sahanın coğrafi unsurlarının ilişkisi 5 kişilik uzman ekip tarafından birbirinden bağımsız olarak analiz edilmiştir. Uzmanların ortaya koydukları analizler bir araya getirilerek ortak görüş çerçevesinde birleştirilmiştir. Elde edilen bulgulara göre 2018-CDÖP ile Karapınar çevresindeki coğrafi unsurların büyük ölçüde uyumlu olduğu görülmüştür.
MUSTAFA KUTLU’NUN NUR HİKÂYESİNDE MODERN PARADİGMANIN KARŞISINDA BİR KİMLİK İNŞASINA YÖNELİK DEĞERLER
Authors: ALEV Kadriye
Published: December 2022

Mustafa Kutlu, modern Türk hikâyesinin gelişim ivmesinde sanatsal duruşunu dil, üslup ve biçim yönüyle hikâyede sabitleyen ender yazarlardandır. Hikâyelerinin zeminini, modernizme bağlı gelişen toplumsal değişimin bireyin zihin dünyasında meydana getirdiği tahribat oluşturur. Onun hikâyelerinde, insanın iç derinliğine yönelen, zamanın ve eşyanın hakikatini sorgulayan, aynı zamanda İslam medeniyetinin kültür birikiminin damıtıldığı toplumsal hayat pratiğini arzulayan bilinçli bir duruş vardır. Bu durum Kutlu’nun modernizm ve gelenek arasında gelenekten yana aldığı tavrı belirginleştirir. Kutlu, hemen her hikâyesinde İslam inancı, kültürü ve geleneğiyle yoğrulmuş; Anadolu irfanının öz değerleriyle inşa edilmiş bir kimliğe dönüş çağrısı yapar. Bu çalışmada Kutlu’nun Nur hikâyesi üzerinden teklif ettiği kimliğin değerler dünyası incelenmiştir.
Construction of a lncRNA-mediated ceRNA network and a genomic-clinicopathologic nomogram to predict survival for breast cancer patients
Authors: Wu Mengni , Lu Linlin , Dai Tiantian , Li Aoshuang , Yu Yue , Li Yadi , Xu Zhihua , Chen Yan
Published: December 2022

Breast cancer (BC) is the most common cancer among women and a leading cause of cancer-related deaths worldwide. The diagnosis of early patients and the prognosis of advanced patients have not improved over the past several decades. The purpose of the present study was to identify the lncRNA-related genes based on ceRNA network and construct a credible model for prognosis in BC. Based on The Cancer Genome Atlas (TCGA) database, prognosis-related differently expressed genes (DEGs) and a lncRNA-associated ceRNA regulatory network were obtained in BC. The patients were randomly divided into a training group and a testing group. A ceRNA-related prognostic model as well as a nomogram was constructed for further study. A total of 844 DElncRNAs, 206 DEmiRNAs and 3295 DEmRNAs were extracted in BC, and 12 RNAs (HOTAIR, AC055854.1, ST8SIA6-AS1, AC105999.2, hsa-miR-1258, hsa-miR-7705, hsa-miR-3662, hsa-miR-4501, CCNB1, UHRF1, SPC24 and SHCBP1) among them were recognized for the construction of a prognostic risk model. Patients were then assigned to high-risk and low-risk groups according to the risk score. The Kaplan-Meier (K-M) analysis demonstrated that the high-risk group was closely associated with poor prognosis. The predictive nomogram combined with clinical features showed performance in clinical practice. In a nutshell, our ceRNA-related gene model and the nomogram graph are accurate and reliable tools for predicting prognostic outcomes of BC patients, and may make great contributions to modern precise medicine.
On Finding Hamiltonian Cycles in Barnette Graphs
Authors: Bagheri Gh. Behrooz , Feder Tomas , Fleischner Herbert , Subi Carlos
Published: December 2022

In this paper we deal with hamiltonicity in planar cubic graphs G having a facial 2–factor 𝒬 via (quasi) spanning trees of faces in G/𝒬 and study the algorithmic complexity of finding such (quasi) spanning trees of faces. Moreover, we show that if Barnette’s Conjecture is false, then hamiltonicity in 3–connected planar cubic bipartite graphs is an NP-complete problem.
DeepCreativity: measuring creativity with deep learning techniques
Authors: Franceschelli Giorgio , Musolesi Mirco
Published: December 2022

Measuring machine creativity is one of the most fascinating challenges in Artificial Intelligence. This paper explores the possibility of using generative learning techniques for automatic assessment of creativity. The proposed solution does not involve human judgement, it is modular and of general applicability. We introduce a new measure, namely DeepCreativity, based on Margaret Boden’s definition of creativity as composed by value, novelty and surprise. We evaluate our methodology (and related measure) considering a case study, i.e., the generation of 19th century American poetry, showing its effectiveness and expressiveness.
A unified view of configurable Markov Decision Processes: Solution concepts, value functions, and operators
Authors: Metelli Alberto Maria
Published: December 2022

In this paper, we provide a unified presentation of the Configurable Markov Decision Process (Conf-MDP) framework. A Conf-MDP is an extension of the traditional Markov Decision Process (MDP) that models the possibility to configure some environmental parameters. This configuration activity can be carried out by the learning agent itself or by an external configurator. We introduce a general definition of Conf-MDP, then we particularize it for the cooperative setting, where the configuration is fully functional to the agent’s goals, and non-cooperative setting, in which agent and configurator might have different interests. For both settings, we propose suitable solution concepts. Furthermore, we illustrate how to extend the traditional value functions for MDPs and Bellman operators to this new framework.
COVID-19 and Alzheimer’s Disease: What Is the Connection?
Authors: Itzhaki Ruth F.
Published: December 2022

Wang et al. found that elderly COVID-19 patients were at risk of AD. The following facts suggest a possible explanation: reactivation of herpes simplex virus type 1 (HSV1) and other herpesviruses can occur in SARS-CoV-2 patients; in cell cultures, HSV1 infection causes occurrence of many AD-like features, as does reactivation of latent HSV1 after addition of certain infectious agents; recurrent experimental reactivation of HSV1-infected mice leads to formation of the main features of AD brains, and to cognitive decline. These suggest that COVID-19 results in repeated reactivation of HSV1 in brain, with subsequent accumulation of damage and eventual development of AD.
Trust in official statistics across Europe: Evidence from two waves of Eurobarometer using multilevel models
Authors: Allegrezza Serge , Langer Wolfgang , Joxhe Majlinda
Published: December 2022

This paper uses data from Eurobarometer for the years 2007 and 2015 to investigate the determinants of trust in official statistics across 28 countries and 2 regions in Europe. Our estimation follows a multilevel modelling approach, which allows us to distinguish within-country and between-country variation in individual trust in official statistics. Our estimation results show that the within-country variation is mainly explained by individual-level statistical literacy and education, as well as occupational status. With respect to the variation between countries, we show that neither the level of GPD nor the index of inequality are important in explaining cross-country variation. Instead, EU membership history, i.e. the ‘acquis communautaire’, is the main macro variable that explains the increase in trust for the official statistics across Europe.
Advice for women considering a career in medicine: A qualitative study of women physicians’ perspectives
Authors: Kokas Maria S. , Passalacqua Karla D. , Mortimore Anastasia , Hoffert Mara M.
Published: December 2022

BACKGROUND: Research has explored the problems that women encounter during a medical career; however, the advice that experienced women physicians would give to women who have not yet entered the field is needed to reveal how the medical work landscape is evolving and to provide real-world narratives to help career seekers make informed choices. OBJECTIVE: By eliciting women’s perspectives on their medical careers by asking them what advice they would give to aspiring women physicians, we aimed to reveal areas for improving career satisfaction of women physicians and to inform those who advise women considering a medical career. METHODS: In this qualitative study, we used a phenomenological approach to conduct semi-structured one-on-one interviews with 24 women physicians to query the advice they would give to women contemplating a career in medicine. RESULTS: Thematic analysis of interview transcriptions revealed 10 themes that women physicians communicated as being important to consider before deciding to become a physician. Although some advice had a cautionary tone, encouraging and practical advice was also conveyed. The most abundant themes concerned the centrality of patient care, a passion for practicing medicine, and the importance of planning. Other key topics included family and friends, self-reflection, life balance, finances, ethics, maintaining presence, and two overt cautionary statements. CONCLUSION: Interviews revealed that meaning and purpose derived from a medical career and maintaining work-life balance are valued by some women physicians. Participants were encouraging in recommending medicine as a career choice for women, while highlighting some challenges.
Effects of aircraft tray table height and neck posture on passenger comfort: A study of the economy class cabin
Authors: Wang Long , Yu Suihuai , Chen Dengkai , Li Wenhua , Chu Jianjie , Fan Hao
Published: December 2022

BACKGROUND: The tray table in economy class air travel may cause excessive neck flexion and discomfort in passengers. OBJECTIVE: The purpose of this study is to examine the influence of different tray table heights on the neck posture and discomfort perception of passengers. METHODS: A passenger experience survey was used to determine the passengers’ view that the tray table was not high enough, and that most passengers were dissatisfied with the overall comfort evaluation of the tray table, especially passengers with obesity. Three head-neck angles and discomfort perceptions of six body parts in 58 participants were recorded by neck posture 3D scanning and perceived level of discomfort assessment, respectively. RESULTS: Tray tables at the original height (68 cm) caused unnatural neck posture and discomfort in participants. Raising the tray table can improve the neck posture of participants and reduce discomfort. However, raising the tray table too high will cause more shoulder discomfort in participants. Based on the results, 78 (±2) cm is suggested as the suitable thresholds range of tray tables for economy class air travel. CONCLUSION: The results and findings of this study could provide a theoretical base for the optimization of tray table design.
Neck and upper extremity musculoskeletal problems in cosmetologists caused by work-related ergonomic risk factors in Denizli, Turkey
Authors: Acar Guliz Aydemir , Acımıs Nurhan Meydan
Published: December 2022

BACKGROUND: Work-related musculoskeletal disorders (MSDs) of the neck and upper limbs are a common health problem among cosmetologists. Hairdressing requires bending, twisting, static postures, prolonged standing, repetitive motions, and vigorous movements of the hands and fingers. In order to determine the proper ergonomic measures, identifying the factors and hairdressing jobs that increase the risk of work-related neck and upper limb disorders is needed. OBJECTIVE: The objective of this study was to determine the prevalence of MSDs in the neck and upper extremities of cosmetologists and to investigate the association with ergonomic risk factors and hairdressing work. METHODS: The cross-sectional study was conducted on cosmetologists in Denizli, Turkey province (n = 504). Data collected through a survey included questions on sociodemographic characteristics, work organization, equipment, and hairdressing work, items on work posture, the Extended Nordic Musculoskeletal Questionnaire, and the Demand-Control-Support Questionnaire. Work posture in hairdressing was assessed using the Rapid Upper Limb Assessment (RULA). RESULTS: The prevalence of MSDs of the neck and upper limbs in the previous twelve months ranged from 7.7–55.8%. There was high, or very high, risk in 56.1% of work postures, and the median RULA score was 5.0 (4.0–6.0). The significant predictors of pain were work experience, gender, marital status, risk perception, awkward posture, psychological demand, and hair coloring. CONCLUSION: It is necessary to take control measures in hairdressing salons promptly to adopt more suitable working posture and to design workplaces ergonomically.
A predictive model for early therapeutic efficacy of colorectal liver metastases using multimodal MRI data
Authors: Su Xuan , Zhang Huan , Wang Yuanjun
Published: December 2022

BACKGROUND:

Liver metastases is a pivotal factor of death in patients with colorectal cancer. The longitudinal data of colorectal liver metastases (CRLM) during treatment can monitor and reflect treatment efficacy and outcomes.

OBJECTIVE:

The objective of this study is to establish a radiomic model based on longitudinal magnetic resonance imaging (MRI) to predict chemotherapy response in patients with CRLM.

METHODS:

This study retrospectively enrolled longitudinal MRI data of five modalities on 100 patients. According to Response Evaluation Criteria in Solid Tumors (RECIST 1.1), 42 and 58 patients were identified as responders and non-responders, respectively. First, radiomic features were computed from different modalities of image data acquired pre-treatment and early-treatment, as well as their differences (Δ). Next, the features were screened by a two-sample t-test, max-relevance and min-redundancy (mRMR), and least absolute shrinkage and selection operator (LASSO). Then, several ensemble radiomic models that integrate support vector machine (SVM), k-nearest neighbor (KNN), gradient boost decision tree (GBDT) and multi-layer perceptron (MLP) were established based on voting method to predict chemotherapy response. Data samples were divided into training and verification queues using a ratio of 8:2. Finally, we used the area under ROC curve (AUC) to evaluate model performance.

RESULTS:

Using the ensemble model developed using featue differences (Δ) computed from the longitudinal apparent diffusion coefficient (ADC) images, AUC is 0.9007±0.0436 for the training cohort. Applying to the testing cohort, AUC is 0.8958 and overall accuracy is 0.9.

CONCLUSIONS:

Study results demonstrate advantages and high performance of the ensemble radiomic model based on the radiomics feature difference of the longitudinal ADC images in predicting chemotherapy response, which has potential to assist treatment decision-making and improve clinical outcome.
ВОССОЗДАННЫЕ КОЛЛЕКЦИИ АРХЕОЛОГИЧЕСКОЙ КЕРАМИКИ В СОВРЕМЕННОМ ВЫСТАВОЧНОМ ПРОСТРАНСТВЕ
Authors: Бубновене Ольга
Published: December 2022

В статье рассматриваются проблемы и некоторые приемы экспонирования археологической керамики в выставочном пространстве на примере нескольких художественных проектов. Представлены направления исследовательской деятельности по изучению текстильных технологий на основе коллекций керамических сосудов археологических культур Обь-Иртышья.
ИСТОРИЯ СОЗДАНИЯ МУЗЕЯ «ДОМ СВЯЩЕННИКА» В СЕЛЕ УСТЬ-ЧАРЫШСКАЯ ПРИСТАНЬ
Authors:   Алтайский государственный институт культуры, Сухарева Анастасия
Published: December 2022

В данной статье рассматривается история создания и современное состояние частного краеведческого музея в селе Усть-Чарышская Пристань Алтайского края; обозначена роль священника местного прихода, о. Никандра Речкунова, в реконструкции истории села и ее трансляции обществу. Создание музея «Дом Священника» связано с обнаружением документов начала ХХ века, подтверждающих тесные экономические связи Усть-Пристани с Эстонией, иллюстрирующих интенсивное развитие здесь масло- и сыроделия. Отмечается важная роль памятников архитектуры, связанных с историей экономического развития села. Основным направлением исследования является создание первых коллекций и формирование общей научной концепции музея.