bluuebunny/crossref_metadata_2025 huggingface dataset:
Sentiment Analysis of Stakeholder Satisfaction Measurement
Authors: Ratniasih Ni Luh , Ninik Jayanti Ni Wayan
Published: June 2022

Measuring the satisfaction of stakeholders is very impoirtant in order to get feedback and input for the purposes of developing and implementing the improvement strategies. ITB STIKOM Bali routinely measures student stakeholder satisfaction every semester. This study aims to analyze stakeholder comments to generate sentiment analysis on stakeholder satisfaction. The data used are comments on the results of the measurement of stakeholder satisfaction (students) for the Odd Semester of 2020/2021 which are filled out through questionnaire. The algorithm used in this research is the Naïve Bayes Classifier (NBC). The research method in this study consisted of several stages, namely problem identification and literature study, data collection on stakeholder satisfaction (students), data preprocessing, feature extraction in order to facilitate classification using the Naïve Bayes Classifier (NBC) algorithm. The training data used is 200 data while the training data is 2133 data. The results of this study can provide recommendations to ITB STIKOM Bali for the results of student comments as a whole where the percentage of sentiment generated is 58% positive sentiment and 42% negative sentiment.
Afiks Bahasa Korea dalam Esai Jichyeotgeonna Joahaneun Ge Eopgeona
Authors: Rahmadia Adinda Hasna , Usmi Usmi
Published: June 2022

This study aims to analyze Korean language affixes. The source data in this research was taken from a Korean essay entitled Jichyeotgeona Joahaneun Ge Eopgeona. This study was designed to answer the following research question; how is the classification of affixes contained in the essay Jichyeotgeona Joahaneun Ge Eopgeona based on the theory of affix classification proposed by Kim et al. (2005). This study used mixed methods with descriptive-analytical approach. Based on the results of data analysis, there were found 28 affixes, consisting of 4 prefixes and 24 suffixes in the data source. From the 4 prefixes, it is found that 3 prefixes are attached to the basic form of noun class and 1 prefix is attached to the base form of verb or adjective class. Furthermore, from 24 suffixes, 6 suffixes form verbs, 15 suffixes form nouns, 2 suffixes form adjectives and 1 suffix forms adverbs. Through the results of this study, it is hoped that it will provide readers with additional knowledge and reference materials regarding affixes in Korean.
Production and Analysis the Properties of Mahua Methyl Ester
Authors: Aalam C. Syed
Published: June 2022

Chemically, the methyl ester is mono-alkyl esters of long-chain fatty acids derived from raw vegetable oils. Transesterification is a chemical process between triglycerides of vegetable oil and alcohol (i.e. methanol or ethanol) in the presence of a catalyst to obtain methyl or ethyl ester and glycerol as by-product. In this work, the extraction process adopted to obtain biodiesel from mahua seed oil and analyse the properties of mahua methyl ester (MME). For transesterification process, ethanol and KOH catalysts were used. After extraction of MME, analyse the thermo-physical properties and compared with diesel fuel. Also analyse the Fourier Transform Infrared (FTIR) spectroscopy, Gas Chromatography (GC) and Thermo-Gravimetric Analysis (TGA) were conducted.
Study of the hosting capacity of photovoltaic distributed generators in low voltage distribution networks: A probabilistic approach using Monte Carlo simulations
Authors: Júnior Getúlio Santiago dos Santos , Souto Olívio Carlos Nascimento , da Silva Sérgio Batista , Belchior Fernando Nunes
Published: June 2022

This paper aims to present the study and quantification of the hosting capacity (HC) of a low voltage distribution network composed by photovoltaic distributed generation. The methodology used becomes possible through the implementation of the Probabilistic Method of Monte Carlo with the use of the Python programming language, where the connection point of the distributed photovoltaic generation, power of the generators and the amount of generation systems is randomly chosen. To perform the calculation of the power flow, it is used the OpenDSS software (Open Distribution System Simulator) integrated into the tool in Python from a DLL (Dynamic Link Library). After all the scenarios created, the power, imbalance and RMS voltage are measured in the loads that were installed at the photovoltaic generators and also in the secondary of the transformer. A statistical analysis is performed in order to determine the hosting capacity of the network, that establishes minimum parameters for the imbalance and RMS voltage level to maintain a good Power quality. And finally, since the hosting capacity is dynamic, and cannot be generalized, because at each point of the system has its characteristics and thus it is necessary to identify the HC separately for each busbar. However, it can be pre-established around 60% or 70% of photovoltaic penetration level, since power utilities can install battery banks or relocate consumers to other phases in order to mitigate impacts on the network.
Educational and informative booklet on the perioperative period of bariatric and metabolic surgery: An integrative revieW
Authors: Moreira Clayton Alencar , da Silva Eliane Moura , Alencar Lena Cláudia Maia , da Silva Giselly Julieta Barroso , Mendes Tatiana da Silva , Nunes Silvia Ferreira , Santos Valeria Regina Cavalcante dos , Neto Silvestre Savino , Santos Walda Cleoma Lopes Valente dos , Calandrini Edilson Ferreira
Published: June 2022

According to the World Health Organization (WHO) (2020), obesity is considered a global public health problem and relates to the death of 2.8 million people per year.Bariatric and metabolic surgery proves to be a great ally against obesity, however, it needs more studies to reaffirm its condition of offering safe treatment and good results in the short and long term.The objective of this study is to analyze the importance of building and disseminating a booklet on the perioperative period of bariatric and metabolic surgery. This is a descriptive, qualitative study carried out through an integrative literature review (ILR).Databases were used: University repositories, VHL, PubMed, Journals, Magazines, Federal Laws and Ordinances, SCIELO, Online Search System and MEDLINE. The study included articles related to the theme of the project, articles with Portuguese language, online and free access to the full text between the years 2012 to 2022, with sixteen (16) references being found.The reading of all the scientific production chosen made it possible to contemplate the researchers' concern in the adoption and development of resources that facilitate communication and in the implementation of effective care surgery in the perioperative period of bariatric surgery for assistance.In view of the above, we can conclude by saying that knowledge and information is of fundamental importance and training of the patient in the preoperative period of bariatric surgery.
МИКРОВОЛНОВЫЕ ГЕНЕРАТОРЫ НА ОСНОВЕ ДИОДОВ ГАННА КОМПАНИИ LINWAVE TECHNOLOGY
Authors: Егоров Н. , Кочемачсов В.
Published: June 2022

Рассмотрены микроволновые генераторы на основе диодов Ганна, предлагаемые компанией Linwave Technology. Приведена информация об особенностях и характеристиках данных генераторов.
РЫНОК ТЕХНОЛОГИЧЕСКОГО ОБОРУДОВАНИЯ, ПРОБЛЕМЫ EUV-ЛИТОГРАФИИ И ПЕРСПЕКТИВНЫХ МЕТОДОВ КОРПУСИРОВАНИЯ
Authors: Макушин М.
Published: June 2022

Анализируются рынок технологического оборудования для изготовления ИС и перспективные направления развития полупроводникового оборудования. Движущие факторы развития рынка оборудования – ​расширение использования EUV-литографии и перспективных методов корпусирования.
ТЕХНОЛОГИЧЕСКОЕ ОБОРУДОВАНИЕ И МАТЕРИАЛЫ, ПРИМЕНЯЕМЫЕ ДЛЯ ИЗГОТОВЛЕНИЯ МЕТАЛЛОКЕРАМИЧЕСКИХ КОРПУСОВ
Authors: Шугаепов Ш. , Ермолаев Е. , Егошин В. , Ахметгалиев Р. , Мазуренко А.
Published: June 2022

Рассмотрены технологическое оборудование и материалы, применяемые в АО «Завод полупроводниковых приборов» (АО «ЗПП») для изготовления металлокерамических корпусов.
ТЕПЛОПРОВОДЯЩИЕ МАТЕРИАЛЫ МАРКИ BERGQUIST
Authors: Никитин В.
Published: June 2022

Теплопроводящие материалы марки Bergquist обеспечивают эффективный отвод тепла в широком спектре приложений. В номенклатуру продукции входит несколько десятков наименований, в том числе теплопроводящие прокладки, гели, клеи. В статье представлен краткий обзор материалов марки Bergquist, их ключевые особенности и области применения.
УСТАНОВКА ДЛЯ ИСПЫТАНИЙ НА ТЕПЛОВОЙ УДАР «АКТУ‑001»
Authors: Пармон П. , Панченко А. , Еремченко К.
Published: June 2022

Рассматривается проект по созданию автоматической камеры для испытаний полупроводниковых приборов и интегральных микросхем на тепловой удар, выполняемый АО «НИИЭТ». Обосновывается актуальность данной разработки, приводятся технические характеристики и преимущества разрабатываемой установки перед зарубежными аналогами.
The Great 1822 Aleppo Earthquake: New historical sources and strong ground motion simulation
Authors: Darawcheh Ryad , Abdul-Wahed Mohamad Khir , Hasan Adnan
Published: June 2022

El terremoto de 1822 fue devastador y se considera uno de los eventos relativamente recientes que azotaron el noroeste de Siria y las áreas cercanas del centro-sur de Turquía, es decir, en la unión del sistema de fallas del Mar Muerto con el sistema de fallas del este de Anatolia. En este trabajo, se vuelve a estudiar este terremoto, con base en nuevas fuentes de información originales contemporáneas y casi contemporáneas, que no habían sido citadas anteriormente.El análisis de estas fuentes revela lo siguiente:(1) se proporcionan descripciones más detalladas de los efectos del terremoto para las ciudades de Aleppo, Antakia y Latakia, y la identificación de seis nuevas ubicaciones afectadas; (2) evaluación de los parámetros pertinentes del terremoto, como el epicentro, la onda de superficie, las magnitudes de momento y la intensidad sísmica; (3) se muestra documentación de evidencias de una ola marina sísmica que ocurrió entre las costas chipriota y Siria, e (4) identificación de la falla de San Simeón, ubicada al oeste de Aleppo, como la probable falla causante. Además, el movimiento del suelo generado por el terremoto de 1822 ha sido simulado utilizando el método de estocástica extendida. Se generaron series temporales de aceleración y espectros de pseudoaceleración amortiguados para la ciudadela de Aleppo, donde la aceleración máxima del suelo, debido al terremoto, se estimó en 0.4 g.Los resultados contribuirán a actualizar la configuración de riesgo sísmico en el noroeste de Siria y el centro-sur de Turquía.
Entre la espada, el libro y la pluma
Authors: López Hernández Mariana
Published: June 2022

El artículo analiza diferentes documentos judiciales referentes a la vida del marqués de Moncada y examina dos de sus manuscritos, a fin de demostrar que algunos militares además de desempeñarse en el ejercicio de las armas practicaron la lectura y la traducción escrita en Nueva España durante la segunda mitad del siglo XVIII.
jurisdicción de Hacienda
Authors: Sánchez Santiró Ernest
Published: June 2022

El trabajo analiza la dimensión jurisdiccional del Erario regio de Nueva España durante el siglo XVI y la primera mitad del siglo XVII, a partir de dos aspectos. Por una parte, determina la fórmula jurídica mediante la cual el monarca otorgaba la facultad de ejercer la jurisdicción a un grupo específico de empleados: los oficiales de las cajas reales y los administradores y comisarios de determinadas rentas (alcabalas, azogue, naipes, papel sellado, tributos, etcétera). Por la otra, muestra cómo la aparición de estos jueces y tribunales de Hacienda se produjo a lo largo de una etapa extensa como resultado de dos fenómenos, a saber: la variación en el cuadro de rentas que conformaban la Real Hacienda de Nueva España y los cambios en las políticas de gestión de dichos rubros.
Sobre Guillermina del Valle Pavón, coord., Negociación, lágrimas y maldiciones. La fiscalidad extraordinaria en la monarquía hispánica, 1620-1814
Authors: Marichal Salinas Carlos
Published: June 2022

Reseña sobre Guillermina del Valle Pavón, coord., Negociación, lágrimas y maldiciones. La fiscalidad extraordinaria en la monarquía hispánica, 1620-1814, Colección Historia Económica (México: Instituto de Investigaciones Dr. José María Luis Mora, 2020).
Sobre Javier Ayala Calderón, Fantasmas de la Nueva España. Discursos y representaciones políticas y sociales de las apariciones de ultratumba en documentos novohispanos de los siglos XVI y XVII
Authors: Carranza Vera Claudia Verónica
Published: June 2022

Reseña sobre Javier Ayala Calderón, Fantasmas de la Nueva España. Discursos y representaciones políticas y sociales de las apariciones de ultratumba en documentos novohispanos de los siglos XVI y XVII (Guanajuato: Universidad de Guanajuato, 2019).
SARA: A Voice Assistant Using Python
Authors: Chinchane Ayush
Published: June 2022

Abstract: Artificial intelligence technologies are starting to be actively utilized in human life, thanks to the Internet of Things' debut and widespread distribution. Autonomous gadgets are growing more intelligent in their interactions with humans and with each other. New capabilities led to the development of various solutions for integrating smart devices into the Internet of Things Social Networks. The technique of recognizing a human's natural language is one of the most important trends in artificial intelligence. New insights into this area could lead to new forms of natural human-machine interaction, in which the computer learns to understand and engage with human language. Voice assistant is one of these tools, and it can be integrated into a variety of different intelligent systems. The basics of voice assistant operation are outlined in this paper, as well as the major flaws and limitations. The approach for establishing a local voice assistant without needing cloud services is explained, allowing future applications of such devices to be considerably expanded.
Design of Smart Cane with Integrated Camera Module for Visually Impaired People
Authors: U Namrutha
Published: June 2022

Abstract: In the world, millions of visually impaired or blind people are living. They are always dependent on other people or trained pets to move through an unknown environment. A typical walking stick cannot meet the safety monitoring and guidance requirement of blind people. This paper focuses on designing and developing a smart cane capable of sensing and signaling the environmental features around visually impaired people. The proposed smart cane has two ultrasonic sensors for measuring the distance between the smart cane to the stationary and hanging objects found to be an obstacle. Alert signal is provided by the actuator when the obstacle is falling inside a threshold level of 2 meters. The design integrates a camera module ESP-32 to capture the moving object/people's image in addition to the obstacle detection. The camera module gets enable signal from the PIR sensor to capture the image of the moving object/person and save processor time. It also provides information about the situation around the blind person and their relatives in case of an emergency. It provides the implementation cost and power requirement of the smart cane to develop a camera-enabled stick .
Virtual Reality Next-gen Gaming Experience
Authors: Deshmukh Omkar Ramchandra
Published: June 2022

Abstract: Today world Video games became one of the most important forms of entertainment in the twentieth century. In the 21st century, the effect was greatly improved. With the advance of mobile phones and laptops, the gaming industry changed dramatically in these new market platforms. In twentieth century video games are most important form of entertainment. The mobile phone and laptop an console the gaming. Industry are increase an there new market platform are taking shapes. Virtual Reality (VR) last few Year are increase there growth rapidly increase. The famous company are like itech art, oculus and Htc are rapidly are growth.in the gaming industry, VR has had a important role played an impact and will continue to do so for decades to come in reality. Nowadays, people, especially the younger generation, are spending more time playing VR-enabled games than ever before. Therefore, it is becoming increasingly important to be aware of the impact on the industry and consumers
Machine Learning Algorithms and Its Applications: A Survey
Authors: Mir Raja Irfan Ahmad
Published: June 2022

Abstract: In todays present world lots of microelectronic statistics is created in apiece and every field. The data that we obtain contains valuable info to forecast the future. Owing to the enormous in magnitude, the physical forecasting gives a intricate chore to humans. To overwhelm this problem, the data model is made in such a way so that it can predict the future by the situation with the aid of training data and test datasets. To Pullman the machine or the data model, numerous types of machine learning algorithms (ML) and tools are available. This paper will emphasis on the review of the few machine learning algorithms(ML) and methods used in numerous applications and domains in a detailed manner.
Malware Analysis with Machine Learning: Classifying Malware based on PE Header
Authors: Varma Sundeep
Published: June 2022

Abstract: If we study the adventures of malware, it has been since the evolution of the computer itself. Since then, they have been a fascinating tool for hackers to exploit computers. Due to the advancement of technology, the malware also has been becoming more complex and hard to detect which in turn creates a cat and mouse chase between security researchers and hackers trying to outsmart each other. While traditional anti-virus softwares are failing to detect these malware variants, in consequence, new technologies have to be adapted to detect them. This paper presents an approach to detect malware using machine learning techniques. This paper explores different malware detection techniques and how ML can be integrated to make it more reliable. ML models are trained with PE features of malware and benign executables. It is observed that the model predicts with 99.4% accuracy. This approach would help researchers to understand and develop more sophisticated antiviruses to detect even complex malware
Machine Learning Algorithms and Its Applications: A Survey
Authors: Mir Raja Tawseef Ahmad
Published: June 2022

Abstract: In todays present world lots of microelectronic statistics is created in apiece and every field. The data that we obtain contains valuable info to forecast the future. Owing to the enormous in magnitude, the physical forecasting gives a intricate chore to humans. To overwhelm this problem, the data model is made in such a way so that it can predict the future by the situation with the aid of training data and test datasets. To Pullman the machine or the data model, numerous types of machine learning algorithms (ML) and tools are available. This paper will emphasis on the review of the few machine learning algorithms(ML) and methods used in numerous applications and domains in a detailed manner
Solving Rubiks Cube Using Open CV
Authors: Sudhan Dr. M. B.
Published: June 2022

Abstract: The Rubik’s cube is 3D combinatorial and mechanical puzzle invented in 1974. It challenged users to solve colourful puzzle in record time. We use OPEN CV to solve this Rubik’s Cube. We will recognize the scrambled state of the cube. Then will implement an algorithm that takes input as scrambled state of the cube and outputs a sequence of moves that solves the cube. In order to recognize colours on each faces of the cube and then applying various algorithms on it in order to solve the Rubik’s Cube.
Identification of Retinal Diseases using blood vessel segmentation Based on Robinson Compass Mask and K-Means Clustering Algorithm
Authors: Shah Ravi Kumar
Published: June 2022

Abstract: In order to discover distinct infection circumstances within blood veins, medical professionals frequently examine tissue layer blood vessels using retinal images. The automatic recognition of retinal veins would make it easier to diagnose numerous diseases. As a result, the time required for comprehensive eye examinations by the optometric MD is reduced. This study's main purpose is to create attached tips for tracing blood veins in the tissue layer. To extract the retinal vas network from anatomical structure images, the proposed methodology was devised. Our method is divided into four stages: first, preprocessing in case you want to organize your dataset for segmentation; second, an image enhancement method that includes CLAHE with Sequential filter; third, a Robinson compass mask for feature extraction; and fourth, a K-means clustering approach agglomeration for higher segmentation. Lastly, a new process step that eliminates incorrectly divided remote regions was added.
E-voting System Using Block-Chain
Authors: Mohadikar Yutesh
Published: June 2022

Abstract: This paper presents the E-voting system using block chain, which is a multiplatform interface designed to cast votes which promises secure and transparent elections. The block chain provides a doubly linked hash structure of every vote cast, hence any tempering to it results in a new different structure so we can say that the links are immutable. Every vote cast is counted as a transaction with a unique hash address. A collection of rules known as smart contract is stored on block chain to speedthe transaction. At the end, the total number of transactions are counted which turns out to be the actual results of the elections. This unique combination allows secure and user-friendly experience to the users at the same time.
Detection and Classification of Fruit Diseases Using Image Processing and Cloud Computing
Authors: Prabhu Dr. A.
Published: June 2022

Abstract: Disease detection is vital at early stage since it will affect the agricultural field. In this project, mainly consider the detection and analysis of fruit infections which is available in the plant areas and storage of data about the agricultural filed and details of farmers in database and recovering the data using Cloud computing. There are more fruit diseases which occur due to the surrounding conditions, mineral levels, insects in the farm area and other factors. The detected data from the plant area is determined by image processing and stored in the data base
Comparative Analysis Between Different Antistripping Agents Used in Hot Mix Asphalt
Authors: Rashid Burhan
Published: June 2022

Abstract: In current study, an attempt has been made to investigate the different anti-stripping agents (Zycotherm (0.08%, 0.10%, 0.12%) and Wetbond-S (0.06, 0.08%, 0.10%)) in hot mix asphalt (HMA) to curb the problem of stripping and moisture susceptibility in the aggregates. For this, different laboratory tests such as boil test, stripping value test, Marshall Stability test, and retained stability test were conducted and respective results were collected. From the results, it can be concluded that the utilization of the anti-stripping agents (Zycotherm-0.12% or Wetbond-S-0.08%) to make the raw aggregates stripping proof can be done.
Gene Action Analysis for Yield and Its Component Traits in Indian Mustard (Brassica juncea (L) Czern and coss)
Authors: Srivastava Dr. M. K.
Published: June 2022

Abstract: A 5X5 half Diallel set was planned to study the combing ability and gene action for yield and its component traits in Indian Mustard. Based upon findings of the experiment, two character like No. of seeds per siliqua and Plant height shows additive variance so Selection will be effective. All the characters study in the present experiment except the No. of Branches showed significant sca variance indicating the presence of non-additive gene action and due to this selection will not be effective to improve the traits. It further gives us an idea to go for exploitation of Heterosis in these traits
Self-Stabilizing Parkinson’s Spoon
Authors: Anand Saloni
Published: June 2022

Abstract: Parkinson's disease is one of the most commonly occurring neurodegenerative disorders, ranking 2nd after Alzheimer's affecting largely senior people and characterized by significant nerve cell degeneration that limits motion and daily activities. While the usual age of onset is 60 years, persons as young as 18 years old have been diagnosed. Unintentional shaking and tremors in the hand may be the patient's initial symptoms, making it hard for them to do ordinary actions such as eating food from a spoon. The goal of this project is to produce a stabilising spoon for Parkinson's disease patients so they can eat comfortably despite suffering tremors since it compensates for the user's movement. This project intends to create a less expensive solution to the Liftware and Gyenno "smart" spoons, hence boosting our device's availability and usability. As a result, the major goal of this project is to provide a more accessible and less expensive alternative to the existing "smart" spoons in the industry, which is just as effective and hence beneficial to society
Waste Control at Construction Project by Adopting Lean Management Tool for Quality Measurement Framework
Authors: Khopade Mohini
Published: June 2022

Abstract: Lean manufacturing and lean construction have the same goals according to Paez et al. (2005): elimination of waste, cycle time reduction, and variability reduction. One of the ways of reaching the goals of lean construction is flow according to Paez et al. (2005). When trying to attain flow in construction one need to realize that there are differences between manufacturing and construction, which may make it difficult to attain the same flow between different processes, attained within manufacturing (Koskela, 1992). These differences are certain construction peculiarities such as one-of-a-kind projects, site production, temporary organization and regulatory intervention, aspects more common with construction projects than manufacturing. According to Koskela (1992) however, the same production principles apply and there is room for improvement when it comes to flow in the construction industry. By using lean thinking and lean tools and adapting them to the construction industry this master's thesis purpose is to develop a tool to identify and measure waste, guide in which order waste should be reduced and by this enabling estimations of potential consequences that might occur by implementing a lean approach at a construction site. This is of interest in order to bridge the research gap between conceptual lean construction and research based on empirical studies
The Rise, the Fall, and the Resurrection of the Egrocery Channel: A Transformation in Retail Logistics and U.S. Consumer Behavior
Authors: Farris II M Theodore , Gabaldon Janeth
Published: June 2022

Nearly 20 years ago this journal published “Where Have All The On-Line Grocers Gone?” about the growing online grocery market and correctly predicted that the concept would fail until logistics issues were resolved. This article considers the changes that have taken place since then and why there has been a resurrection and exponential growth in the eGrocery channel. It considers how the forced disruption from the COVID-19 virus has served to help further the development and growth of this channel.
Cross-Cultural Differences in Logistics and Adaptation To Them: The Case Of A German Logistics Services Provider Entering The Russian Market
Authors: Brazhkin Vitaly
Published: June 2022

This paper explores obstacles to doing business related to the logistics industry in the emerging Russian market, ways of dealing with these obstacles and the role of culture in problem definitions and solutions. The paper is based on the case of a German logistics services provider entering and operating in the Russian market. Data were obtained from interviews of top managers of its Russian subsidiary and analyzed using qualitative research methods. Findings show that the firm treats difficult logistics problems in Russia as business opportunities and applies its traditional strengths reflecting its national and organizational culture to overcome the obstacles and problems. However, the firm must rethink its business strategy and step out of its traditional cultural comfort zone to deal with specific obstacles explained by “high power distance” and other dimensions of the Russian national culture.
Word frequency and text complexity: an eye-tracking study of young Russian readers
Authors: Laposhina Antonina N. , Lebedeva Maria Yu. , Berlin Khenis Alexandra A.
Published: June 2022

Although word frequency is often associated with the cognitive load on the reader and is widely used for automated text complexity assessment, to date, no eye-tracking data have been obtained on the effectiveness of this parameter for text complexity prediction for the Russian primary school readers. Besides, the optimal ways for taking into account the frequency of individual words to assess an entire text complexity have not yet been precisely determined. This article aims to fill these gaps. The study was conducted on a sample of 53 children of primary school age. As a stimulus material, we used 6 texts that differ in the classical Flesch readability formula and data on the frequency of words in texts. As sources of the frequency data, we used the common frequency dictionary based on the material of the Russian National Corpus and DetCorpus - the corpus of literature addressed to children. The speed of reading the text aloud in words per minute averaged over the grades was employed as a measure of the text complexity. The best predictive results of the relative reading time were obtained using the lemma frequency data from the DetCorpus. At the text level, the highest correlation with the reading speed was shown by the text coverage with a list of 5,000 most frequent words, while both sources of the lists - Russian National Corpus and DetCorpus - showed almost the same correlation values. For a more detailed analysis, we also calculated the correlation of the frequency parameters of specific word forms and lemmas with three parameters of oculomotor activity: the dwell time, fixations count, and the average duration of fixations. At the word-by-word level, the lemma frequency by DetCorpus demonstrated the highest correlation with the relative reading time. The results we obtained confirm the feasibility of using frequency data in the text complexity assessment task for primary school children and demonstrate the optimal ways to calculate frequency data.
A cognitive linguistic approach to analysis and correction of orthographic errors
Authors: Reynolds Robert , Janda Laura , Nesset Tore
Published: June 2022

In this paper, we apply usage-based linguistic analysis to systematize the inventory of orthographic errors observed in the writing of non-native users of Russian. The data comes from a longitudinal corpus (560K tokens) of non-native academic writing. Traditional spellcheckers mark errors and suggest corrections, but do not attempt to model why errors are made. Our approach makes it possible to recognize not only the errors themselves, but also the conceptual causes of these errors, which lie in misunderstandings of Russian phonotactics and morphophonology and the way they are represented by orthographic conventions. With this linguistically-based system in place, we can propose targeted grammar explanations that improve users’ command of Russian morphophonology rather than merely correcting errors. Based on errors attested in the non-native academic writing corpus, we introduce a taxonomy of errors, organized by pedagogical domains. Then, on the basis of this taxonomy, we create a set of mal-rules to expand an existing finite-state analyzer of Russian. The resulting morphological analyzer tags wordforms that fit our taxonomy with specific error tags. For each error tag, we also develop an accompanying grammar explanation to help users understand why and how to correct the diagnosed errors. Using our augmented analyzer, we build a webapp to allow users to type or paste a text and receive detailed feedback and correction on common Russian morphophonological and orthographic errors.
Discourse complexity in the light of eye-tracking: a pilot Russian language study
Authors: Toldova Svetlana Yur'evna , Slioussar Natalia Anatol'evna , Bonch-Osmolovskaya Anastasia Aleksandrovna
Published: June 2022

The paper explores the influence of discourse structure on text complexity. We assume that certain types of discourse units are easier to read than others, due to their explicit discourse structure, which makes their informational input more accessible. As a data source, we use the dataset from the MECO corpus, which contains eye movement data for 12 Russian texts read by 35 native speakers. We demonstrate that the approach relying on elementary discourse units (EDUs) can be felicitously used in the analysis of eye movement data, since fixation patterns on EDUs are similar to those on whole sentences. Our analysis has identified EDU outliers, which show shorter time of first fixation than estimated. We arranged these outliers into several groups associated with different discourse structures. First, these are statements with nominal predicates that set exposition of the text or macroproposition and, following those, EDUs that elaborate on the previous statement and signal the beginning of the narrative. Second, they are EDUs that serve as the middle component of a listing or a group of coordinated clauses or phrases. The final group represents EDUs that are part of an opposition, contrast or comparison. Discourse analysis based on EDUs has never been applied to eye movement data, so our project opens many avenues for further research of complexity of discourse structure.
Natural language processing and discourse complexity studies
Authors: Solnyshkina Marina Ivanovna , McNamara Danielle S. , Zamaletdinov Radif Rifkatovich
Published: June 2022

The study presents an overview of discursive complexology, an integral paradigm of linguistics, cognitive studies and computer linguistics aimed at defining discourse complexity. The article comprises three main parts, which successively outline views on the category of linguistic complexity, history of discursive complexology and modern methods of text complexity assessment. Distinguishing the concepts of linguistic complexity, text and discourse complexity, we recognize an absolute nature of text complexity assessment and relative nature of discourse complexity, determined by linguistic and cognitive abilities of a recipient. Founded in the 19th century, text complexity theory is still focused on defining and validating complexity predictors and criteria for text perception difficulty. We briefly characterize the five previous stages of discursive complexology: formative, classical, period of closed tests, constructive-cognitive and period of natural language processing. We also present the theoretical foundations of Coh-Metrix, an automatic analyzer, based on a five-level cognitive model of perception. Computing not only lexical and syntactic parameters, but also text level parameters, situational models and rhetorical structures, Coh-Metrix provides a high level of accuracy of discourse complexity assessment. We also show the benefits of natural language processing models and a wide range of application areas of text profilers and digital platforms such as LEXILE and ReaderBench. We view parametrization and development of complexity matrix of texts of various genres as the nearest prospect for the development of discursive complexology which may enable a higher accuracy of inter- and intra-linguistic contrastive studies, as well as automating selection and modification of texts for various pragmatic purposes.
Review of Sean Wallis. 2021. Statistics in Corpus Linguistics: A New Approach. New York/Oxon, Routledge. ISBN 9781138589384 ISBN 9780429491696 (eBook)
Authors: Privalova Irina Vladimirovna , Kazachkova Mariia Borisovna
Published: June 2022

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Computational linguistics and discourse complexology: Paradigms and research methods
Authors: Solovyev Valery Dmitrievich , Solnyshkina Marina Ivanovna , McNamara Danielle S.
Published: June 2022

The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic analysis, select, modify and compare texts of various types and genres. The purpose of this article and the journal issue as a whole is to present modern areas of research in computational linguistics and linguistic complexology, as well as to define a solid rationale for the new interdisciplinary field, i.e. discourse complexology. The review of trends in computational linguistics focuses on the following aspects of research: applied problems and methods, computational linguistic resources, contribution of theoretical linguistics to computational linguistics, and the use of deep learning neural networks. The special issue also addresses the problem of objective and relative text complexity and its assessment. We focus on the two main approaches to linguistic complexity assessment: “parametric approach” and machine learning. The findings of the studies published in this special issue indicate a major contribution of computational linguistics to discourse complexology, including new algorithms developed to solve discourse complexology problems. The issue outlines the research areas of linguistic complexology and provides a framework to guide its further development including a design of a complexity matrix for texts of various types and genres, refining the list of complexity predictors, validating new complexity criteria, and expanding databases for natural language.
TOOLS FOR ANALYZING AND MANAGING THE COMPETITIVENESS OF TNCS (USING THE EXAMPLE OF PJSC AEROFLOT)
Authors:   Российский государственный социальный университет, Москва, Россия, Анастасия Анатольевна Сафронова , Надежда Валерьевна Капустина ,   Финансовый университет при Правительстве Российской Федерации, Москва, Россия, Наталья Игоревна Маракова ,   Московский государственный институт международных отношений (университет) Министерства иностранных дел Российской Федерации, Москва, Россия
Published: June 2022

Currently, one of the main drivers of the global economy are multinational companies. In the context of globalization, the growing role of TNCs is a natural result of the development of international economic relations. The capital of multinational companies is one of the main and most important sources of financing and R&D worldwide. A highly developed network of affiliated companies provides parent companies with access to the latest developments and achievements, promotes technology transfer, accumulation of knowledge, etc. The purpose of this article is to study the theoretical aspects of competition of multinational companies and the use of basic tools for analyzing the competitiveness of TNCs on the example of Aeroflot. The object of the study is multinational companies in general and specifically the company PJSC Aeroflot – Russian Airlines. The subject of the study is the competition of multinational companies.
OVERVIEW OF KEY INDICATORS OF THE DEVELOPMENT OF THE ACADEMIC INDUSTRY IN CHINA
Authors:   Южный федеральный университет, Ростов-на-Дону, Россия, Людмила Сергеевна Скачкова , Ицин Цзя ,   Южный федеральный университет, Ростов-на-Дону, Россия
Published: June 2022

The efficiency of China's economic development depends on investment in human capital, in particular investment in higher education. This article presents the main trends in the development of higher education over the past 10 years. Based on a comparative analysis of world rankings and domestic university rankings, combined with the actual situation in China, the current development of the academic industry is analyzed. According to the results of the analysis, the current performance of some universities has reached the level of world-class universities, especially in the field of basic scientific research. But there is a big gap with world-class universities in cutting-edge research, internationalization and talent development. Analyzing the key indicators of the development of the academic industry in China, the author draws attention to the need to increase the international competitiveness of China's scientific research and international public recognition. To do this, it is necessary to balance the distribution of resources between regions and universities in the field of education; evaluate the weight of scientific research achievements, the impact of scientific research and the conditions for conducting scientific research, optimize the evaluation of the effectiveness of scientific research; increase investment in the development and motivation of academic staff.
ANALYSIS OF THE VALUE OF THE TOURIST ENTERPRISE IN THE CONDITIONS OF AN UNSTABLE ECONOMY
Authors:   Южный университет (ИУБиП), Ростов-на-Дону, Россия, Ксения Вячеславовна Завацкая
Published: June 2022

Pandemic made significant changes to the functioning of enterprises of the tourism industry. The Government of the Russian Federation counted the industry as the most affected. Of course, the efforts of the state to soften the negative impact, they brought positive moments. Many tourist enterprises are liquidated, the part was transformed into digital space and reoriented to the development of domestic tourism. All these moments had a strong impact on determining the cost of business. Investor, the buyer is more difficult to determine the real objective economically reasonable value of the business. Owner (seller) To increase the cost, it is necessary to conduct a number of activities to obtain maximum income. The article presents practical recommendations for increasing the value of the business on the example of the tourist enterprise, which operates in the territory of the Rostov region. An assessment of the transition of the enterprise into digital space is given andPandemic made significant changes to the functioning of enterprises of the tourism industry. The Government of the Russian Federation counted the industry as the most affected. Of course, the efforts of the state to soften the negative impact, they brought positive moments. Many tourist enterprises are liquidated, the part was transformed into digital space and reoriented to the development of domestic tourism. All these moments had a strong impact on determining the cost of business. Investor, the buyer is more difficult to determine the real objective economically reasonable value of the business. Owner (seller) To increase the cost, it is necessary to conduct a number of activities to obtain maximum income. The article presents practical recommendations for increasing the value of the business on the example of the tourist enterprise, which operates in the territory of the Rostov region. An assessment of the transition of the enterprise into digital space is given anPandemic made significant changes to the functioning of enterprises of the tourism industry. The Government of the Russian Federation counted the industry as the most affected. Of course, the efforts of the state to soften the negative impact, they brought positive moments. Many tourist enterprises are liquidated, the part was transformed into digital space and reoriented to the development of domestic tourism. All these moments had a strong impact on determining the cost of business. Investor, the buyer is more difficult to determine the real objective economically reasonable value of the business. Owner (seller) To increase the cost, it is necessary to conduct a number of activities to obtain maximum income. The article presents practical recommendations for increasing the value of the business on the example of the tourist enterprise, which operates in the territory of the Rostov region. An assessment of the transition of the enterprise into digital space is given and
ASSESSMENT OF THE IMPACT OF PENSION REFORM ON THE LEVEL OF WELL-BEING OF THE POPULATION
Authors:   Южно-Российский институт управления – филиал Российской академии народного хозяйства и государственной службы при Президенте РФ, Ростов-на-Дону, Россия, Дарья Евгеньевна Иванова , Вячеслав Евгеньевич Иванов ,   Волгодонский филиал Ростовского юридического института МВД России, Волгодонск, Россия
Published: June 2022

In connection with the strengthening of payment discipline, the President of the Russian Federation decided to transfer the right to administer insurance premiums from extra-budgetary funds to the Federal Tax Service. This decision led to drastic changes in the system of legislation on insurance premiums. All these problems have become significantly relevant in the light of the change in the retirement age: for men – at 65, for women – at 60. Of course, at the same time, a large number of benefits and changes are provided that do not relate specifically to the increase, for example, an increase in pension payments by 1 thousand rubles. per month, However, most of the questions arecaused by the problems of realizing private interests, achieving world standards of a decent life for pensioners. In connection with the above, the problem of pension reform in the Russian Federation becomes particularly relevant. The relevance of the study of the impact of raising the retirement age on the level of poverty lies in the fact that to date no single mechanism and a single methodology has been adopted to determine the causes of the increase in poverty of the population. The article describes the author's application of statistical data, correlation and regression analysis to consider the etymology of poverty, the essence of pension reform and to assess the impact of changes in retirement age on the level of wealth of the population.
ENERGY SECURITY: WORLD, RUSSIA, REGIONS
Authors:   Южно-Российский институт управления – филиал Российской академии народного хозяйства и государственной службы при Президенте РФ, Ростов-на-Дону, Россия, Александр Васильевич Кокин , Александр Александрович Кокин ,   Группа компаний "Алкон", Санкт-Петербург, Россия
Published: June 2022

An attempt by the world community based on the UN Framework Convention on Climate Change in Glasgow (November 2021) to achieve "carbon neutrality" by 2050 immediately hit a number of obstacles. The first of them was the COVID-19 pandemic. The second is the rejection of large-scale energy supplies from Russia, which almost completely destroyed the logistics of the transit of fuel created for decades. The West's politicization of hydrocarbon fuel has proved devastating to the global economy as a whole. And since in the conditional share of the unit of production, energy costs are about 60%, the world market faced the fact of rising prices for a wide range of products with increasing inflation. In the current conditions of politicization of energy security, it is necessary to abandon any sanctions without a UN recommendation and refuse to achieve "carbon neutrality."