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2006 research outputs found
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ТЕЛЕЖАРНАМАДАҒЫ ГЕНДЕРЛІК СТЕРЕОТИПТЕР: ҚАЗАҚСТАНДЫҚ ТӘЖІРИБЕ
Аңдатпа. Мақалада тележарнамадағы гендерлік стереотиптерді қолдану және оның аудиторияға әсері зерттеледі. Жарнама өндірісінде жиі қолданылатын гендерлік стереотип түрлері анықталып, олардың артықшылықтары мен кемшін тұстары сараланады. Осы мақсатта бірнеше елдің гендерлік стереотиптерді қолданудағы тәжірибесі назарға алынып, ондағы әйелдер бейнесі талқыға салынады. Сонымен қоса стереотиптерді насихат құралы ретінде пайдалану, бұқаралық санаға әсері мен қауіпті тұстары да зерттеудің негізгі өзегіне айналды. Бүгінде жарнамаға деген аудитория көзқарасы өзгерген. Бұрын тұтынушылар жарнамадағы стереотиптерге қарсылық білдірмей қабылдаса, қазір мұндай көзқарас жат. Сол себепті маркетологтар «сәтсіз коммуникация – брендке қарсы жұмыс істеп кетуі ықтимал» деген пікірге басымдық беруде. Ғылыми жұмыста жарнамадағы жаңа стереотипті үдерістер мәдениет пен қоғамның өзегіндегі құндылықтар жүйесіндегі терең ішкі өзгерістерді көрсететіндігі анықталды
HARNACK’S INEQUALITY FOR HARMONIC FUNCTIONS ON STRATIFIED SETS
We prove Harnack’s inequality for nonnegative harmonic functions in the sense of the “soft” Laplacian on a stratified set with flat strata
QUESTION ANSWERING SYSTEM UPON UNIFIED LANGUAGE MODEL AND EVALUATING PERFORMANCE OF DATASETS
Abstract. Present days require automation and optimization in simple but urgent tasks. It is granted to use opportunities of technologies and science in order to work efficiently and to stay productive. In this paper, I seek to understand opportunities and drawbacks of the publicly available datasets, such as SQuAD, TriviaQA, Natural Questions (NQ). QUAC, NewsQA. It is vital to choose a suitable dataset in order to create a system with better performance. Specifically, the paper proposes an automatic question creating system that uses state-of-the-art Natural Language Processing (NLP) - Unified Language Model (UniLM). The question generating algorithm was verified using best datasets, and it has shown noteworthy results - questions generated were logical and correct. This study is important for teachers, teacher assistants, to save time writing test questions and spend it for more important duties
FISCAL DECENTRALIZATION IN KAZAKHSTAN AND THE IMPACT ON ECONOMIC GROWTH
This article proposes a method for assessing the effects of fiscal decentralization on economic development. The relationship between the proper level of fiscal decentralization and economic growth for 17 regions and cities of republican significance in Kazakhstan from 2010 to 2020 was evaluated using panel data. Panel cointegration and dynamic ordinary least squares (DOLS) results suggest that fiscal decentralization has a negative and significant impact on gross regional product. The study found that both income and expenditure decentralization have a negative impact on economic growth, and that further fiscal decentralization currently has a negative impact on gross regional product (GRP) growth. Given the premise that fiscal decentralization usually promotes local economic progress, this consistently significant and powerful result of our empirical analysis is surprising
THE NOTOIN OF MOTIVATION IN FOREIGN LANGUAGE TEACHING FOR SECONDARY SCHOOLS
Abstract. One of the most influential factors contributing to successful learning and academic achievements is motivation for learning. The fact that motivation is one of the main components of a successful study has been determined in multiple studies around the globe. Unfortunately, not all teachers manage to motivate their students. This article discusses the problem of motivation of teenage students to learn English. Since this age period is a transitional period in the life of adolescents, much attention is paid to the study of the psychological characteristics of this age and the search for possible ways to overcome the emerging difficulties through the appropriate behavior of the teacher. Some external reasons for the lack of motivation of secondary school students to study are also considered - the content of educational materials, the organization of educational activities, the choice of methods and approaches to teaching, etc. The article suggests some ways to solve these problems
Совершенствование законодательства Республики Казахстан о персональных данных на основе общего регламента по защите персональных данных (GDPR)
В связи с тем, что с развитием информационных технологий и автоматизированных систем персональные данные человека становятся все более изолированными от частной жизни как субъекта правоотношений, практика их защиты только начинает накапливаться и приобретать комплексный подход. А также, личная информация признана одним из приоритетных объектов организационно-правовой защиты, поскольку при определенных условиях и обстоятельствах она вытекает из права на неприкосновенность частной жизни. В жизнедеятельности человека предоставление информации о себе другим членам общества, а также общественные отношения по предоставлению и защите информации регулируются нормами права. Таким образом, эффективное управление поведением сотрудника в процессе работы возможно только при наличии достоверной информации о его личности, представленной в достаточном объеме. Этот факт четко закреплен в Трудовом кодексе Республики Казахстан. В специальной главе кодифицированного трудового законодательства работодателю разрешается получать, хранить, объединять и использовать персональные данные нанятого им работника; Законодатель установил общие требования к обработке персональных данных работников и определил гарантии их защиты
Assessment of investments in technology and innovation
This dissertation aims to analyze and compare methods for assessing investments in technology and innovation, considering the challenges of a dynamic and uncertain business environment. By examining the impact of these investments on competitiveness and profit growth, the study provides insights to enhance decision-making accuracy and identifies factors influencing the choice of investment assessment methods. Through -qualitative and quantitative research methods, including interviews with CFOs of Kazakhstani companies, the study investigates the use of real options and traditional methods, highlighting the barriers and proposing strategies for increasing adoption. The findings contribute to the field by endorsing financial techniques tailored to the unique characteristics of technology and innovation investments, promoting informed resource allocation and_ better management of risks in a changing market
Exploring HRM practices under macro-level turbulence: A qualitative study
The economic crisis that is resulted from the military actions of the two states (Russia and Ukraine) is affecting the global and local economy. Economic crises tend to place pressure on cutting costs, such as labour costs, resulting in salary reductions, reduction in monetary motivation, short-term work, and reduction in training (Gunnigle et al., 2013; Johnstone, 2018; Zagelmeyer et al., 2012), by that affecting the HRM practices of the company. Thus, the primary goal of this research is to gain an understanding of how the current economic crisis has impacted the HRM practices, such as recruitment and selection, reward systems, training and development, and performance appraisal in Kazakhstani small medium enterprises. The nature of this research paper is exploratory, that’s why the methodology that is used is qualitative method. The primary data was collected by conducting six semistructured in-depth interviews. The interviews will shed light to the overall picture of how current state of the economy is affecting the human resource practices in the Kazakhstani small-medium enterprises
IDENTIFYING SPAM MESSAGES FOR KAZAKH LANGUAGE USING HYBRID MACHINE LEARNING MODEL
Abstract. This paper describes a spam detection system for Kazakh Language using Hybrid Machine Learning Model. The lack of spam detection systems in the Kazakh language calls for the need of a proposed system that can identify unwanted messages. The system integrates multiple Machine Learning algorithms to accurately classify spam and non-spam messages. The performance of the system is evaluated using metrics such as accuracy, precision, recall, and Fl-score. Results show that the proposed solution outperforms existing spam detection techniques in terms of detecting spam with a low false positive rate and high accuracy. The findings of this research contribute to the development of effective spam detection systems for the Kazakh language and provide insights for future work in this field
ANALYSIS OF PROGRAMMING EDUCATION AT THE PRIMARY EDUCATION LEVEL
Abstract. Programming education has traditionally been provided at the undergraduate level worldwide. However, in recent years, there has been a growing trend in developed countries to introduce programming education at earlier ages with the aim of promoting software literacy, improving programming skills, and making programming education accessible to a wider audience. While some countries are updating their informatics lessons to include programming, others are incorporating programming lessons into their primary education curriculum for the first time. The level at which programming training is offered also differs between countries. The objective of this research is to explore how countries have integrated programming education into their curricula and to identify the differences between countries in terms of programming education. The study aims to answer the question of how programming education is provided at the primary education level both domestically and abroad. The research has found that programming education is increasingly recognized as important and many countries are now allowing programming lessons in their education curriculum, with some countries even introducing programming education in kindergarten. However, there are variations in the programming languages used and the skills taught to students across different countries