bluuebunny/crossref_metadata_2025 huggingface dataset:
Problems of accounting for foreign direct investment in international and Russian statistics
Authors:   Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia, Zaitsev Yu.K.
Published: June 2022

The paper discusses the approaches to statistical accounting of foreign direct investment (FDI) present in Russian and international practice, as well as alternative approaches to accounting of FDI using microdata. International practice shows that often the official statistics provided by national central banks according to the methodology of the International Monetary Fund (IMF) and the Organization for Economic Cooperation and Development, and alternative estimates of FDI at the enterprise level differ significantly. The purpose of this article is to identify the main problems of traditional methods of accounting FDI and assess the applicability of the microdata approach to address these problems. To this end, the paper analyzes the recommendations of the OECD and the IMF on accounting FDI in statistics, as well as the methodology of the Central Bank of the Russian Federation (CBR). According to the author, the methodologies of international organizations do not solve a number of problems in relation to the Russian ones. Thus, the present methodologies do not address the issue of offshore FDI, as well as the actual geographical distribution of FDI in the regions of the Russian Federation. The article demonstrates that a number of problems associated with traditional FDI statistics can be addressed with enterprise microdata. The article proves why traditional statistics can give a distorted picture due to unresolved issues of these and other issues, and shows how microdata can help in solving this problem. In particular, micro-level data helps to understand the structure of FDI at the regional level, as well as the role of offshore companies in the structure of inbound and outbound FDI.
Volatility spillover between the Russia–India–China triad and the United States: A multivariate generalized autoregressive conditional heteroscedasticity analysis
Authors:   School of Economics, Zhejiang University, China, Vlasova E. , Luo D. ,   School of Economics, Zhejiang University, China
Published: June 2022

This study is concerned with the identification of the economic links and volatility spillover effects between the United States and the Russia–India–China triad from 2010 to 2019. This decade is characterized by a lack of major global financial crises in the economy, although the liberalization of the Chinese stock market and the reciprocal sanctions between Russia and developed countries, followed by the trade wars between the United States and China changed the relationship between stock markets. This study tests three hypotheses. The first hypothesis is associated with the post‑2014 change of interconnection between the Chinese and the Russian and the Indian stock markets. The second hypothesis tests the fact that the Russian market has become less dependent on the US market. The third hypothesis: the trade war between the United States and China increased the volatility spillover effects between financial markets. The multivariate GARCH BEKK model was used for calculations. The research results presented herein can be used to draw conclusions about the general current situation in the world stock markets and their future development trends, as well as for a more complete understanding of the mechanisms of interaction and mutual influence of financial markets for possible diversification of the investment portfolio.
Unemployment benefits and duration of registered unemployment in Russia: Regression kink design
Authors:   National Research University “Higher School of Economics”, Center for Advanced Governance, Moscow, Russia, Kopytok V.K.
Published: June 2022

The unemployment insurance (UI) system is one of the key labor market institutes. UI benefits allow to smooth consumption during unemployment. Moreover, people receiving UI benefits can search for a new position more selectively, and thus find a job that with more appropriate qualification requirements and salary. Nevertheless, generous UI benefits lead to a decrease in the intensity of job search and an increase in the duration of registered unemployment. The optimal UI system design balances these effects. This paper is based on administrative microdata on registered unemployment in Russia in 2019 (collected by The Federal Service for Labor and Employment of Russia) to estimate the causal effect of UI benefits on the duration of registered unemployment. Regression kink design and the maximum UI benefits levels are exploited to identify the causal effect. Estimated elasticities of UI duration with respect to average daily benefits are positive and significant with values from 0.2 to 5.3 due to specification which corresponds to the estimates obtained for other countries.
The influence of external attractiveness on the transfer value of football players
Authors:   Department of Applied Economic Research, Russian Presidential Academy of National Economy and Public Administration, Moscow, Nikitina N.S. , Bolgova V.M. ,   Faculty of Economics, Lomonosov Moscow State University, Moscow, Russia, Vinopal M.M. ,   Faculty of Economics, Lomonosov Moscow State University, Moscow, Russia, Nikiforova T.S. ,   Faculty of Economics, Lomonosov Moscow State University, Moscow, Russia
Published: June 2022

In this paper, we evaluated the impact of the attractiveness of a football player on the value of a transfer transaction, combining two deeply studied areas of research: factors affecting the value of transfer and a «beauty premium» of a player in this labor market. The determinants that affect the value of transfer value are based on the data of the transfer window 2017/2018 season. Three European football leagues were used for our calculations: La Liga, Premier League and Bundesliga. We used a two-step Heckman procedure to assess the impact of player’s attractiveness on a transfer value. We got the following results: physical attractiveness does not affect the decision to buy a player for money or zero transfer cost, but significantly affects the value of transfer transaction. An increase in 1 in the player’s attractiveness index increases the transfer value by 3.8%.
Efficacy of Quadriceps sets with Biofeedback and Modified Quadriceps sets with Biofeedback along with Ultrasound in Reduction of Pain and Active Extension Lag in Bilateral Knee Osteoarthritis”- A Comparative Study
Authors: Bhatnagar Gaurav , Ghule Shital , Dangat Pallavi , Mohammed Rafi , Pawadshetty Vishvnath
Published: June 2022

Introduction: The functional dysfunction in the osteoarthritis knee is caused by pain and quadriceps muscle weakness. Physiotherapy treatment includes isometric and isotonic exercises for improving joint range of motion and muscle strength of quadriceps muscle. Biofeedback can be combined with these exercises to enhance awareness about the extent of work done by the muscle. Aim: The aim of the study was to compare the efficacy of quadriceps sets with biofeedback and modified quadriceps sets with biofeedback along with ultrasound in the reduction of pain and active extension lag in knee osteoarthritis. Methodology: A total number of 30 participants were divided into group A and B, 15 each group according to inclusion and exclusion criteria using simple random sampling. Group A received quadriceps sets exercises with biofeedback and group B received modified quadriceps sets with biofeedback. Both groups also received pulsed ultrasounds prior to exercise. The outcome measures were pain and extensor lag, which were assessed at baseline and after 2 weeks of the treatment protocol. Results: Both the groups showed improvement but between-group analysis showed a significant reduction of pain (mean 1.53 right side and mean 1.73 left side, p<.0001) and active extension lag (mean 5.33 right side and mean 6.06 left side, p<.0001) bilaterally in group B who had received modified quadriceps sets with biofeedback when compared with group A. Conclusion: Modified quadriceps sets with biofeedback were more effective than quadriceps sets with biofeedback along with ultrasound in reduction of pain and active extension lag in knee osteoarthritis patients.
Protein Isolation and Separation Techniques of Pasteurella multocidavia One- and Two-Dimen-Sional Gel Electrophoresis
Authors: N. Alhashem Yousef , Farid Arshad , Al Mohaini Mohammed , Muzammal Muhammad , Hashim Khan Muhammad , Dadrasnia Arezoo , J. Alsalman Abdulkhaliq , Al Hawaj Maitham A. , Ghazanfar Shakira , M. Almusalami Eman , G. Kharboush Taghrid , Ismail Salmah
Published: June 2022

Introduction: Bacteria in the genus Pasteurella live as commensal parasites on the mucous membranes of vertebrates, particularly mammals and birds. Pasteurella species like Pasteurella multocida and Pasteurella haemolytica cause significant economic losses as a result of diseases caused by these two microorganisms. Objective: This study compares protein isolation and analysis methods for effective one and two-dimensional gel electrophoresis of Pasteurella multocidaproteins and a preliminary protein mapping and analysis of P. multocida serotype B. Methodology: Protein samples were obtained by two isolation methods: homogenisation/sonication and detergent lysis. 1D SDS-PAGE methodology was optimized for protein loading, separating gel percentages and gel size. Detergent lysis was the preferred isolation method of total proteins. Results: The optimum running condition for SDS-PAGE was determined to be 15 µg of protein loading run on a 12.5% separating gel with a gel size of 10cm x 10cm. Preliminary 1D SDS-PAGE analysis revealed 3 distinct protein bands (33 kDa, 39 kDa and >200 kDa), which could only be found specifically in serotype B samples. The samples were then separated by 2-DGE after optimization. The optimum running condition was 500µg of protein sample loaded using rehydration loading with immobilized pH gradient (IPG) strips pH 3–10 for the first-dimension isoelectric focusing (IEF) and 12.5% single percentage gel for the seconddimension SDS-PAGE. The protein map, which produced the most, spots were compared to in silico 2-DGE protein patterns of Pm70 in GELBANK database. Conclusion: A total of 23 proteins were identified and protein of 33 kDA was identified in both 1D SDS-PAGE and 2-DGE. This is the first protein analysis and the first protein map of P. multocida serotype B ever produced.
Análisis y clasificación de las estructuras comparativas de desigualdad en español
Authors:   Universidad del País Vasco UPV/EHU, Vela-Plo Laura
Published: June 2022

Este trabajo examina en profundidad las características morfosintácticas de las comparativas de desigualdad en español teniendo en cuenta principalmente datos sincrónicos y recalca la necesidad de reformar algunas propuestas y clasificaciones previas de las comparativas en español. Concretamente se muestra que la arquitectura de las comparativas está determinada por: (i) el tamaño del estándar de comparación (sintagmático u oracional) y (ii) el tipo de vínculo entre la coda y el correlato comparativo (coordinación o dependencia). Así, se definen por fin las restricciones de selección sintáctica y semántica de los marcadores que y de en las estructuras comparativas de desigualdad.
Formation of software design skills among software engineering students
Authors: Striuk Andrii M.
Published: June 2022

The study focuses on one of the mobile-oriented environment competence components for software engineering (SE) students. It has been demonstrated that the implementation of the higher education standard for SE bachelors has generated a number of issues in terms of ensuring training quality, principally due to a lack of specification for both skills and learning outcomes. Designing a precise framework of professional competencies for SE bachelors is one method to overcome these issues. The research examines methods for developing K14 (the ability to participate in software design, including modeling (formal description) of its structure, behavior, and working processes), a critical particular professional competency for future software engineers. Recommendations for software design teaching techniques, learning content, modeling and design tools, and assessment of the level of formation of relevant competence are developed based on a historical and genetic review of software design training among SE students in the UK, USA, Canada, Australia, New Zealand, and Singapore. The industrial-style software design training (studio training) is used as an example. The transition from architectural to detailed design, as well as project implementation, are discussed. The study's future prospects include substantiating the third engineering component of SE – software construction (after requirements engineering and design engineering).
Uli Stein's Tierleben - Cartoons with Bite. A Tribute
Authors:   Universitatea Transilvania Brașov, Diaconu Ioana-Andrea
Published: June 2022

Der vorliegende Beitrag ist eine Hommage an den 2020 ver­storbenen Cartoonisten Uli Stein und sein nicht nur künstlerisches Engagement für Tiere. Das Hauptaugenmerk liegt auf den im Buch Tierleben gesammelten Cartoons, das vom Lappan Verlag kurz vor dem Tod des Künstlers herausgegeben wurde. Mäuse, Katzen, Hunde, aber auch Pinguine, Papageien und Schlangen mit Menscheneigen­schaften bevölkern diese Zeichnungen. Die Geschichte der Mensch-Tier-Beziehung spielt eine wichtige Rolle in diesem Zusammenhang. Der Frage, inwieweit die Cartoons Merkmale der Fabel tragen, wird auch nachgegangen.
Animals and Humans in Herta Müller's Texts
Authors:   Universitatea de Vest, Timișoara, Nubert Roxana , Dascălu-Romițan Ana-Maria ,   Universitatea de Vest, Timișoara
Published: June 2022

Schon in ihrem Debütband Niederungen (1982/1984) erschei­nen zahlreiche Tiere in Assoziation mit der Menschengesellschaft unabhängig davon, ob sie mit dem Dorfmilieu oder mit der von der Diktatur dominierten Stadt assoziiert wer­den. Die Buchtitel Der Mensch ist ein großer Fasan auf der Welt (1986) oder Der Fuchs war damals schon der Jäger (1992) zeigen, wie die Autorin die Tiere als Symbole verwendet, um über Menschen und ihre Leiden zu schreiben. Im Bild des Frosches konzentriert sich das Gefühl der sozialen Kontrolle im banatschwäbischen Dorf (als deutscher Frosch) sowie das Gefühl permanenter Überwachung und Verfolgung im totalitären Staat Ceauşescus (als Frosch des Diktators). Im Allgemeinen weisen Tiere bei Herta Müller auf die Machtbeziehungen in der Gesellschaft hin. Ein treffendes Beispiel dafür ist der Roman Herztier (1994). Ein besonderer Aspekt der Mensch-Tier-Beziehung ist die Tier­schlachtung, wobei das Leiden und die Ohnmacht der Tiere Leiden und Ohnmacht der unterdrückten Menschen, vor allem der Frauen, auf dem Dorf und in der Stadt dar­stellen. Herta Müllers Texte spiegeln einmalige Beziehungen zwischen Tier und Mensch wider.
Unsupervised Domain Adaptation for Facial Emotion Recognition in Autistic Children
Authors: Kurian Asha , Tripathi Shikha
Published: June 2022

Autism is a neurodevelopmental disorder characterized by deficits in social, interpersonal interaction and communication skills. A generalized facial emotion recognition model does not scale well when confronted with the emotions of autistic children due to the domain shift inherent in the distributions of the source (neurotypical) and the target (autistic) population. The dearth of labeled datasets in the field of autism exacerbates the problem. Domain adaptation using a generative adversarial model (GAN) counters this disparity by creating an adversarial model that aligns features of the source and target domains using adversarial training. This paper looks at building a facial emotion classifier model that can identify the idiosyncrasies associated with an autistic child’s facial expression by generating feature-invariant representations of the source and target distribution. The objective of the paper is two-fold – a) build a discriminative classifier to identify the emotions of autistic children accurately b) to train a feature generator to produce an invariant feature representation of the source and target domains taking into account their similar yet different data distributions, in the presence of unlabeled target data. Investigation into automatic recognition and classification of the facial expressions of the autistic population has not been pursued extensively vis-a-vis a neurotypical population due to the complexities associated with eliciting and interpreting data obtained from autistic children.
TSCH Network Health: Identifying the Breaking Point
Authors: Vieira Júnior Ivanilson França , Granjal Jorge , Curado Marília
Published: June 2022

Composed of constrained devices, Low-Power and Lossy Networks (LLNs) have been applied for numerous Internet of Things (IoT) applications. In addition, the Time-Slotted Channel Hopping (TSCH) media access control has been specified by IEEE aiming at Industrial IoT (IIoT). TSCH brings in the deterministic factor over wireless communication; it balances energy, bandwidth and latency, offering reliable communication. This paper conducted an experiment to reach the Contiki-NG’s TSCH Minimal Schedule breaking point. We analysed network factors to identify evidence that may lead to performance degradation. The located evidence might be employed by edge resilient counter-measures systems developers, vertical integration researchers or scheduling function designers to improve systems and increase the IIoT reliability.
Toward the Prediction of Environmental Thermal Comfort Sensation Using Wearables
Authors: Hossain Tahera , Nkurikiyeyezu Kizito , Kawasaki Yusuke , Lopez Guillaume
Published: June 2022

Thermal comfort is a state of mind in which one is satisfied with the thermal environment that is crucial to human well-being, safety, and productivity in everyday life. Indoor environmental thermal comfort levels usually change due to performing different activities in different situations. Computer systems that can understand these comfort indicators can help to support and increase human wellbeing. This paper considers a simple wristwatch-like device equipped with various sensors to collect autonomic nervous system activity data. This study offers a preliminary assessment of a physiologically regulated thermal comfort provision based on Pulse Rate Variability (PRV) to see if we could predict the comfort of a hot environment (risk of heatstroke, higher dissatisfaction/more difficult to cope than cold). Therefore, we focus on collecting data in varying temperatures and humidity levels for different work conditions i.e., reading, typewriting, and gymnastics focusing on hot thermal conditions to predict human-environmental thermal comfort using multiple machine learning models. Our results show an average accuracy above 95% with five different machine learning models.
Measuring Health Conditions Every Morning Using a Smart Toothbrush with a Gas Sensor1
Authors: Yoshimura Satoshi , Mizumoto Teruhiro , Matsuda Yuki , Ueda Keita , Takeyama Akira
Published: June 2022

Mental illness is a serious health problem that the COVID-19 pandemic has exacerbated due to the new teleworking style. This work style forces isolation and reduces physical activities leading to a work efficiency drop and impaired work-life balance. Despite the current proliferation of IoT-based health measurement means, most of these devices are developed for physicians or cannot build a daily habit and keep the user’s motivation due to design issues. Therefore, mental health measurement tools that can transparently assess the wellness of users daily basis are necessary. This paper proposes a mental health assessment system that smoothly integrates with the user’s toothbrush providing a new generation of smart toothbrushes. Specifically, the designed system combines a gas sensor with the toothbrush for collecting halitosis data (odor, temperature, humidity, pressure) when brushing teeth. The collected data are then leveraged to train Random Forest models that estimate three indexes for two recoveries and one work engagement. To evaluate the proposed method, we collected realistic halitosis data using the smart toothbrush from 12 subjects every day over two months. The results show that the proposed system can obtain F-score of 0.84, 0.81, and 0.80 of Dedication, Vigor, and Absorption, respectively.
Деякі аспекти організації змішаного навчання математики в закладах середньої освіти
Authors: Годованюк Тетяна , Васильєва Дарина
Published: June 2022

Одним із ефективних освітніх трендів, що активно запроваджується у багатьох країнах світу, є змішане навчання. У статті описані деякі аспекти організації змішаного навчання математики в закладах середньої освіти. Наведені різні означення та моделі змішаного навчання. Визначені особливості, переваги і недоліки змішаного навчання. Проаналізовані результати опитування 207 українських учителів математики, що мають досвід організації змішаного навчання математики під час пандемії. Показано, що учні і вчителі ставляться переважно позитивно до цієї технології навчання.
Зарубіжні підходи до розроблення моделей самооцінювання закладів загальної середньої освіти
Authors: Лукіна Тетяна
Published: June 2022

У статті наведено огляд сучасних зарубіжних підходів до формування моделей самооцінювання результатів діяльності закладів загальної середньої освіти. Проаналізовано практику та наведено приклади побудови моделей самооцінювання у європейських країнах і країнах Сходу. Зазначено, що найбільш поширеним є підхід, заснований на збалансованому поєднанні зовнішньої та внутрішньої оцінок закладу. Аргументовано, що на вибір і реалізацію тієї чи іншої моделі самооцінювання якості загальної середньої освіти в різних країнах впливають національні та історичні традиції, ступінь децентралізації управління освітою в країнах, обсяг повноважень і професійних компетенцій керівників освітніх установ і педагогічного персоналу та інші чинники. Проведений аналіз наукової літератури з питань формування моделей самооцінювання закладами загальної середньої освіти результатів своєї діяльності надав підстави автору для того, щоб запропонувати здійснити систематизацію зазначених моделей самооцінювання за певними їх ознаками, зокрема за: її місцем і роллю в структурі оцінки закладу освіти, статусом проведення, ступенем впливу результатів самооцінювання досягнутої якості освіти на подальшу діяльність закладу, переліком об’єктів оцінки та показників та за суб’єктом ухвалення рішення за результатами оцінки. Підкреслено актуальність для України завдання підвищення рівня професійної (оціночної) компетентності вчителів і керівників закладів загальної середньої освіти, з’ясування особливостей формування управлінських рішень за результатами самооцінювання, визначення ефективності технологій внутрішньої оцінки, що використовуються у вітчизняних закладах освіти.
In silico Activity and Target Prediction Analyses of Three Triazolothiadiazine Derivatives
Authors: Sucularlı Ceren , Tozkoparan Birsen , Aytaç Sevim Peri
Published: June 2022

Objective: Polypharmacology, interaction of one drug with multiple targets, emerged as an effective approach in drug discovery and development. Bioinformatics and cheminformatics methods are essential tools for determination of polypharmacological profiles of newly synthesized or known compounds and drugs. Previously, three novel triazolothiadiazine derivatives; 1h, 3c and 3h, have been shown to induce apoptosis and cause cell cycle arrest on liver cancer cells. The aim of this study is to find possible action mechanisms and potential targets for these three triazolothiadiazine derivatives, and to investigate their potential as new therapeutic agents by using computational methods.
Materials and Methods: PASS software was used to identify biological activities and Swiss Target Prediction and BindingDB databases to predict potential targets for 1h, 3c and 3h. PDE4A, ALR and DUSP1 proteins were selected for molecular docking analysis following the protein modeling of the three proteins.
Results: Activity prediction results show that 1h, 3c and 3h might have phosphatase and signal transduction pathway inhibitor, hepatocyte growth factor antagonist, anti-inflammatory and antifungal activities. These derivatives are predicted as inhibitors of several phosphodiesterases by activity and target prediction tools.
Conclusion: Based on prediction and molecular docking results, it is proposed that these compounds may have therapeutic properties through new predicted targets.
Analisis Peramalan Permintaan Produk Boneka Menggunakan Moving Average, Double Exponential Smoothing, dan Regresi Linear pada MJ Toys
Authors: Geraldo Giast Muhammad , Wahyudin Wahyudin , Hamdani Hamdani
Published: June 2022

Abstract Uncertain market conditions affect the amount of product demand by consumers. Therefore, companies are competing to determine the right strategy to be able to meet consumer demand. One of them is by way of forecasting. The purpose of this study is to estimate product demand forecasts at MJ Toys. Secondary data used in this study in the form of orders and sales reports from MJ Toys. This research is a quantitative descriptive using three forecasting methods, namely Moving Average (MA), Double Exponential Smoothing (DES), and Linear Regression. The three methods were used and then identified the method that had the smallest Mean Square Error (MSE) value. Based on the results obtained from forecasting using three methods, namely Moving Average (MA), Double Exponential Smoothing (DES), and Linear Regression. The smallest Mean Square error (MSE) value was obtained in the linear regression method with a value of 39. Thus, the linear regression forecasting results were in the best value because they had the smallest error rate. So it is possible that the forecasts obtained will be close to the actual situation. The results of the forecasting on the linear regression method in the next period are as many as 20 sacks.Keywords: Forecasting, Moving Average, DES, Linear Regression, MSE. AbstrakKondisi pasar yang tidak menentu, mempengaruhi jumlah permintaan produk oleh konsumen. Oleh karena itu perusahaan berlomba menentukan strategi yang tepat untuk dapat memenuhi permintaan konsumen. Salah satunya adalah dengan cara peramalan. Tujuan penelitian ini adalah untuk memperkirakan peramalan permintaan produk pada MJ Toys. Data sekunder digunakan pada penelitian ini berupa laporan pesanan dan penjualan dari MJ Toys. Penelitian ini merupakan deskriptif kuantitatif dengan menggunakan tiga metode peramalan yaitu Moving Average (MA), Double Exponential Smoothing (DES), dan Regresi Linear. Ketiga metode tersebut digunakan dan kemudian diidentifikasikan metode yang memiliki nilai Mean Square Error (MSE) terkecil. Berdasarkan hasil yang didapatkan dari peramalan menggunakan tiga metode yaitu Moving Average (MA), Double Exponential Smoothing (DES), dan Regresi Linear. Diperoleh nilai Mean Square error (MSE) terkecil pada metode regresi linear dengan nilai 39. Dengan demikian hasil peramalan regresi linear di nilai yang paling baik karena memiliki tingkat kesalahan terkecil. Sehingga dimungkinkan peramalan yang didapatkan akan mendekati keadaan sebenarnya. Adapun hasil peramalan pada metode regresi linear pada periode selanjutnya adalah sebanyak 20 karung.Kata Kunci: Peramalan, Moving Average, DES, Regresi Linear, MSE
Analisis Potensi Bahaya di Area Produksi Kelapa Sawit Menggunakan Metode HIRARC di PT. Beurata Subur Persada
Authors: Putra Gaustama , Saputra Ori
Published: June 2022

In palm oil companies in carrying out the production process, there are still potential hazards in the work area such as at the sterilizer station, thresser station, press station, clarification station and other stations. The method used in solving these problems is the HIRARC method, which aims to reduce the increased risk and create a good work environment. Based on the risk assessment that has been carried out by the author, there are four risk level categories, namely extreme risk, moderate risk, high risk and low risk. At an extreme risk, one of which is broken bones, which can take lives. At moderate risk, one of them is hitting the head on the floor. While at high risk, namely fractures, and sprains. Lastly, the low risk is one of sprains. Risk assessment is given a level in each risk category so that the most dangerous risk is obtained, namely the sterilizer gets level 15, thresser gets level 6, pressing gets level 8, while clarification gets the lowest level, namely 3. Risk control is carried out by providing risk mitigation such as wear PPE, apply SOPs, clean the work area.
BUSINESS PROCESS MODELING OF NETFLIX DIGITAL DISTRIBUTION SERVICE
Authors:   Vasyl Stus Donetsk National University, Dubel Mykhailo
Published: June 2022

The peculiarities of formation of the innovative business model of the Netflix digital distribution service are considered in the work. The success of Netflix was facilitated by an innovative strategy at the time the company was founded, which was called the «Long Tail» concept. The specifics of building an international marketing enterprise (Ad-Free Digital Delivery, Social Media Marketing, Digital Segmentation, Partnerships, Original Content, Outdoor Advertising, Ambient Mar- keting) are analyzed. The Netflix plan «Net Zero + Nature: Our Commitment to the Environment» is researched and the main aspects of this way of promoting the sustainable development of the enterprise are highlighted. The paper presents economic and mathematical modeling on the basis of which it was determined that Netflix’s profits are most affected by marketing and distribution costs, less will be increased by infusions of new technologies (product distribution methods) and the cost of companies to create new content. According to the simulation, Netflix’s revenue in 2022–2023 should be $ 36,970 million and $ 43,103 million, respectively. USA, respectively. Thus, in the following years Netflix Inc. need to: 1. In the short term to increase the cost of a marketing campaign to increase the number of subscribers. In addition to cash inflows, the advertising campaign can be improved as follows – by regionally adjusting services, ie setting more flexible prices for developing countries. 2. Increase the cost of research and development of the service in order to increase the volume and quality of your own content. 3. Increase the cost of creating new content in order to increase the number of film and series products and attract more new users. Based on the results of economic and mathematical modeling, the optimization of business processes of the enterprise was proposed. An important part of the developed digital distribution business process is that international companies need to invest money from the money received from users through marketing costs to influence user needs. As a result of this influence, digital distributors will be able to program the user’s wishes according to the realities that are more favorable to the distributor. Key words: innovative activity, sustainable development, digital infrastructure, business model, international marketing,
ЕКОНОМІКО-ЕКОЛОГІЧНІ АСПЕКТИ ДЕКАРБОНІЗАЦІЇ ЕНЕРГЕТИЧНОЇ ГАЛУЗІ
Authors: Крутоголова Ірина , Браверман Вячеслав
Published: June 2022

Актуальність статті визначається міжнародними зобов'язаннями України щодо захисту навколишнього середовища та зменшення викидів вуглекислого газу в атмосферу. В Україні збитки від забруднення повітря у 2020 році складали 10,42 мільярда доларів США, або 6,7% від ВВП (внутрішнього валового продукту). Актуальність проблеми ще більше зросла у зв'язку з необхідністю заміщення викопних енергетичних ресурсів (вугілля, газу, нафти), що раніше надходили з Росії. У роботі показано, що відходи сільськогосподарської діяльності можуть бути невичерпним дешевим джерелом для зелених, відновлюваних джерел енергії таких як біовугілля, біонафта, біоетанол, біогаз, органічного добрива високої якості - біочара. Можливість використання екзотермічної теплоти процесу піролізу сільськогосподарських відходів робить цей процес економічно більш привабливим та сприятиме його впровадженню. При використанні запропонованих технологій всі види вуглецевмісних відходів сільськогосподарської діяльності можна розглядати, як незатребуваний ресурс для декарбонізації всього енергетичного сектора України.
ЦИРКУЛЯРНА ЕКОНОМІКА ЯК МЕХАНІЗМ ДОСЯГНЕННЯ ЦІЛЕЙ СТАЛОГО РОЗВИТКУ В УМОВАХ ГЛОБАЛІЗАЦІЇ ТА ДІДЖИТАЛІЗАЦІЇ СВІТОВОЇ ЕКОНОМІКИ
Authors: Дубель Михайло
Published: June 2022

Стаття присвячена актуальним питанням визначення впливу розвитку циркулярної економіки на досягнення цілей сталого розвитку в умовах глобалізації та діджиталізації світової економічної системи. Зазначено, що значний потенціал для реалізації принципів сталого розвитку має цифрова дистрибуція, яка в умовах глобалізації та діджиталізації світової економічної системи призводить до зміни поведінки споживача та зміни його світогляду. Автором запропоновано циклічний механізм впливу інформації на рівень життя населення. На основі аналізу здійснено висновок , що концепція сталого розвитку стала головною парадигмою розвитку суспільства на перспективу, а розвиток циркулярної економіки можна розглядати як один з механізмів досягнення цілей сталого розвитку через зв'язок з такими процесами, як діджиталізація та глобалізація світової економіки, активізація інноваційної діяльності, розвиток цифрової дистрибуції.
РОЛЬ МАРКЕТИНГОВИХ ІННОВАЦІЙ У РОЗВИТКУ ГАСТРОНОМІЧНОГО ТУРИЗМУ В РЕГІОНІ
Authors: Графська Орислава , Головчук Юлія , Никига Оксана
Published: June 2022

Стаття присвячена обґрунтуванню ролі маркетингових інновацій у регіональному розвитку гастрономічного туризму, зокрема на прикладі Львівської області. Використано методи аналізу літературних джерел, наукового синтезу та узагальнення, проєктний, порівняльний та системно-структурний методи. Гастрономічний туризм є перспективним видом туристичної діяльності, який використовує особливості харчування туристів не лише як базовий елемент надання послуг у місці тимчасового перебування, а й як окремий атрактивний складник дестинацій. Гастрономічний туризм сам є інновацією для багатьох країн та регіонів, однак навіть на тих територіях, де цей напрям діяльності не є новим, актуальною є проблема визначення напрямів його інноваційного розвитку. До інноваційних факторів, що впливають на розвиток гастрономічного туризму у регіоні віднесено кластери, нові проєкти, нові технології, екобезпечну діяльність, концептуальні заклади, маркетинг у соцмережах. Детально охарактеризовано такі маркетингові інновації в регіональному розвитку гастрономічного туризму як нові проєкти, нові технології та маркетинг у соцмережах. Наведено приклади успішного їх впровадження, зокрема у Львівській області. Важливим процесом, до якого залучені різноманітні маркетингові інновації, у регіональному розвитку гастрономічного туризму є територіальний брендинг. Гастрономічна культура територій закономірно є одним із найбільш виразних аспектів брендингу дестинацій, і має приклади успішного використання, зокрема у Львові. Маркетингові інновації у гастрономічному туризмі передбачають створення нового або оновлення вже наявного гастрономічного продукту а також його просування на туристичному ринку. Застосування маркетингових інновацій дає можливість стрімкого розвитку гастрономічного туризму, підвищення конкурентоспроможності туристичних регіонів, зростання попиту, збільшення обсягів продажів гастропродукції, задоволення різнопланових потреб споживачів.
ANALISIS KINERJA KEUANGAN PERUSAHAAN PT.INDUSTRI JAMU DAN FARMASI SIDO MUNCUL TBK
Authors: Setyowati Erny , Dwiningsih Sri , Ratnasari Ike
Published: June 2022

Abstract

It is important to assess the company's financial performance to assist management and investors in making decisions. One method to analyze the company's financial performance assessment is using the Economic Value Added (EVA) analysis method. EVA is an analytical method to determine the company's added value by subtracting economic profit from the cost of capital issued. EVA method analysis begins by calculating Net Operating Profit After Tax (NOPAT), Invest Capital (IC), Weighted Average Cost of Capital (WACC), Capital Charge (CC) and Economic Value Added (EVA). This study aims to assess the financial performance of PT. Sido Muncul's Herbal and Pharmaceutical Industry, 2017-2019 using the Economic Value Added (EVA) analysis method. This research is descriptive and uses a quantitative approach. The data in this study are financial statements, namely balance sheets and income statements. From the results of the study, the EVA value during the research year increased and was positive (EVA > 0). This shows that PT. The Herbal and Pharmaceutical Industry of Sido Muncul Tbk is able to create added economic value for management and investors (shareholders). After being compared with similar companies, the EVA value which occupies the highest position is PT. Kalbe Farma Tbk, then the next sequence is PT. Herbal and Pharmaceutical Industry Sido Muncul Tbk and the last one is PT Darya-Varia Laboratoria Tbk.

Keywords: Financial statement analysis, NOPAT, IC, WACC, CC and EVA
PENGARUH GOOD CORPORATE GOVENANCE DAN UKURAN PERUSAHAAN TERHADAP KINERJA KEUANGAN PADA PERUSAHAN SUB SEKTOR BANK YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Mulyaningtyas Mulyaningtyas , Candra Foni Dian
Published: June 2022

This study aims to determine the effect of independent commissioners, boards of directors, audit committees, and company size on ROA in banking companies listed on the IDX, using the classical assumption test, multiple linear regression, coefficient of determination (R2) test, and hypothesis testing.

               The sample used in this study is a banking company listed on the Stock Exchange for the period of 2016-2018 using a puposive sampling method. Data sources used in this study are secondary data obtained from annual financial reports that have been audited sourced from www.idx.co.id. With data analysis techniques using multiple linear regression analysis.

               The results showed that the independent board of commissioners and audit committee had no effect on ROA in banking companies, while the board of directors and company size affected ROA in banking companies listed on the IDX
Morocco’s Inclusive Education Program through the Lens of Ethnography
Authors: Kadiri Fadoua
Published: June 2022

This ethnographic research study explores the changes undergone by an integration classroom designed to receive kids with disabilities following the implementation of Morocco’s 2019 inclusive education program. This longitudinal study spans two academic years (Jan-Feb, 2021 & Jan-Feb, 2022), given that classes were suspended during the academic year 2019-2020 due to the coronavirus pandemic. This paper uses qualitative tools to examine how the newly-devised inclusive education program affected a Moroccan integration classroom. It relies on participant observations, field notes, and informal questioning in addition to analysis of official documents. The research takes place in a Rabat-based integration classroom housed by the Allal Ben Abdellah public elementary school, a pilot establishment with years of expertise in dealing with kids with disabilities. The research shows that there is still a big confusion between the concepts of integration and inclusion as used in the Moroccan context. Inclusive education is still facing the challenges of lack of training for educators, scarcity of resources and equipment, and the rarity of school aids. However, there are some changes that occurred with the advent of the inclusive education program, like the change in the classroom’s demographics and the decrease of segregation of kids with disabilities, which helped many improve especially mild and moderate cases. In addition, the staff is proactive, self-taught, and has a positive attitude, a humane approach, and on-the-job expertise, a fact that helps with the implementation of the inclusive education program.
The Role of Energy Directives in Ensuring EU Energy Security and the Problems of Implementation in Ukrainian Legislation
Authors:   Department of International Law and Comparative Law, National University of Life and Environmental Sciences of Ukraine, 03041, Kyiv, Ukraine. Email: evshulga2013@gmail.com, Shulga Ievgenii , Shynkaruk Nataliia ,   Department of International Relations and Social Sciences, National University of Life and Environmental Sciences of Ukraine, 03041, Kyiv, Ukraine. Email: nataliiashynkaruk.11@gmail.com, Shytyi Stanislav ,   Department of Theory and History of State and Law, National Pedagogical Dragomanov University, 02000, Kyiv, Ukraine. Email: moderator_fpsp@npu.edu.ua, Antypov Ievgen ,   Department of Heat Power Engineering, National University of Life and Environmental Sciences of Ukraine, 03041, Kyiv, Ukraine. Email: ievgeniy_antypov@ukr.net
Published: June 2022

This article attempts to analyze the role of energy directives in ensuring energy security of the European Union, as well as the analysis of the current state of their implementation in the legislation of Ukraine in accordance with the Treaty establishing the Energy Community and the Association Agreement with the EU. The development of legal security of energy sphere in the EU from the Treaty of Paris on the European Coal and Steel Community to the fourth energy package, which allowed to provide the development of competition among producers and suppliers of energy resources, to provide equal access to the energy distribution and gas-distribution networks, to liberalize the energy sector and energy resources, to increase the use of green energy, to reduce emissions into the atmosphere, and to raise the level of energy security in Ukraine. In this article, authors have used the systematic approach and legal method analysis of the implementation process of EU Energy Directives in the Ukrainian legislation, in particular the Law "On Natural Gas Market", the Law "On Electricity Market", the Law "On Energy Efficiency", the Law "On Energy Land and Legal Regime of Special Zones of Energy Facilities", and the Energy Strategy of Ukraine till 2035 "Security, Energy Efficiency, Competitiveness".
Studi Kinetika Reaksi Fermentasi Selulosa Tongkol Jagung Menggunakan Enzim Selulase Pada Reaktor Batch
Authors: Sina Nanda Widya Fibni , Sukmaria Asti Aprilya , Redjeki Sri
Published: June 2022

Glukosa dapat dihasilkan darl hidrolisa polisakarida, misalnya pati dan selulosa. Salah satu sumber selulosa yang melimpah di alam namun kurang dimanfaakan adalah tongkol jagung. Pada penelitian ini akan dilakukan hidrolisis selulosa dari tongkol jagung dengan proses fermentasi untuk mendapatkan glukosa. Tujuan dari penelitian ini adalah untuk menentukan persamaan laju reaksi fermentasi selulosatongkol jagung menjadi glukosa dengan menggunakan enzim selulase pada proses batch. Proses hidrolisis selulosa dilakukan dengan penambahan asam atau secara enzimatis, sebelum melakukan hidrolisis perlu dilakukan delignifikasi karena lignin yang menjadi penghambat utama proses hidrolisis selulosa. Tahapan penelitiam ini yaitu mempersiapkan bahan dari tongkol jagung menjadi serbuk tongkol jagung, tahap delignifikasi, tahap fermentasi enzim, dan analisa hasil. Analisa kadar glukosa dilakukan dengan menggunakan portable-refraktometer. Michaelis-Menten digunakan sebagai metode untuk mengetahui konstanta reaksi. Penelitian ini dilakukan dengan banyak substrat awal adalah 10% (%w/w) pada waktu 30,60, 90, 120, dan 150 menit. Glukosa yang terbentuk dari fermentasi selulosa tongkol jagung relatif kecil dengan waktu fermentasi 150 menit sebesar 7%. Persamaan laju reaksi yang terbentuk dari proses ini adalah −rA=rR=0,0002x(CE0CA0/0,2392+CA) mol/L. menit.
Pemanfaatan Biochar dari Sabut Siwalan Sebagai Adsorben Larutan Cu
Authors: Syafitra Dinda , Yusuf Tefan Gilang Maulana , Utami Lucky Indrati , Wahyusi Kindriari Nurma
Published: June 2022

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan biochar dari kulit siwalan sebagai adsorben, dan pengaruh waktu terhadap kemampuan adsorpsi Cu. Adsorben yang digunakan adalah kulit siwalan yang diambil dari Kota Blitar. Kandungan silika di dalam kulit siwalan dapat berubah menjadi karbon jika dibakar. Kulit siwalan yang telah dihaluskan dibakar di dalam furnace pada suhu 100oC selama 1jam, dan dilakukan aktivasi dalam larutan HCl untuk menjadi adsorben. Studi pengaruh penambahan adsorben biochar sabut siwalan terhadap adsorpsi Cu dilakukan dengan variable waktu kontak selama 90;120; 150; 180; 210menit dan variabel penambahan adsorben 0,25; 0,5; 0,75; 1; 1,25gram. Pengujian kadar logam berat dianalisa menggunakan AAS (Atomic Absorption Spectroscopy). Hasil penelitian menunjukkan bahwa biochar dari kulit siwalan dapat mengadsorpsi larutan Cu yang ditunjukkan bahwa berkurangnya kadar Cu menjadi 20,512ppm dari kadar awal sebesar 35,33ppm. Penelitian tahap kedua menunjukkan variasi waktu interaksi berpengaruh terhadap kemampuan adsorpsi Cu, waktu kontak optimum pada menit ke-120 dengan kapasitas adsorpsi sebesar 60,488mg/g.
Koefisien Perpindahan Massa pada Ekstraksi Polisakarida dari Biji Asam Jawa dengan Pelarut NaOH
Authors: Azizi Muhammad Hibatul , Ramaniya Dyah Wimala , Pujiastuti Caecilia
Published: June 2022

Asam jawa merupakan tanaman tropis yang mudah sekali tumbuh di Indonesia. Daging buah asam jawa telah banyak dimanfaatkan sebagai bumbu masakan, pemberi rasa asam, dan obat – obatan. Sedangkan, biji dari buah asam jawa belum dimanfaatkan secara optimal. Biji asam jawa mengandung polisakarida 50-60%, sehingga berpotensi untuk dimanfaatkan sebagai sumber sakarida dengan cara melakukan ektraksi kandungan polisakarida dari biji asam jawa. Penelitian ini bertujuan untuk mengetahui koefisien perpindahan massa polisakarida pada proses ekstraksi biji asam jawa dengan pelarut NaOH. Ekstraksi polisakarida pada biji asam jawa dilakukan dengan ekstraksi secara batch. Untuk 50gram biji asam jawa diekstrak menggunakan 300ml larutan NaOH dengan variasi konsentrasi 0,1N; 0,2N; 0,3N; 0,4N; 0,5N dengan variasi waktu ekstraksi 15;30;45;60;75 menit. Filtrat hasil ektraksi dipisahkan menggunakan etanol 96% dengan perbandingan 1:2 dan didiamkan selama 24jam. Padatan yangdihasilkan dipanaskan pada suhu 75oC dan dilakukan analisa kadar polisakarida menggunakan metode gravimetri.Penelitian ini memberikan hasil nilai koefisien perpindahan massa (kLa) tertinggi pada konsentrasi NaOH 0,5N yakni bernilai 0,01734/menit.
Pembuatan Magnesium Silikat dari Geothermal Sludge dengan Penambahan Bittern
Authors: Septajayanti Niyan Bunga , Satriawan Angga , Chempro Suprihatin
Published: June 2022

Magnesium silikat adalah material komposit yang terdiri dari dua bahan baku utama yaitu magnesium oksida (MgO) dan silika (SiO2) yang berbentuk serbuk (powder) putih, amorf, tidak berbau dan tidak larut dalam air. Penelitian ini bertujuan untuk mengkaji pengaruh penambahan bittern dan pengaruh waktu terhadap kualitas Magnesium Silikat. Dari hasil analisa XRF didapat Produk MgSiO3 yang memiliki kandungan MgO sebesar 16% dan SiO2 sebesar 59,1% ,pH 9 Pembuatan magnesium silikat dapat di buat dengan beberapa metode seperti metode ekstraksi dan presipitasi. Pembentukan natrium silikat (Na2SiO3) di peroleh dari proses ekstraksi geothermal sludge  yang mengandung (SiO2) sebanyak 100 gram dengan larutan NaOH 1N pada suhu 100 ºC selama 90 menit. Pembentukan magnesium silikat (MgSiO3) di perolah dari penambahan bittern yang mengandung magnesium (Mg) ke dalam larutan natrium silikat (Na2SiO3). Produk MgSiO3 dengan waktu presipitasi terbaik pada 90 menit dengan  perbandingan Na2SiO3 : bittern 1 : 1½ . Sehingga penambahan bittern dan waktu prsesipitasi mempengaruhi kualitas Magnesium silikat.