bluuebunny/crossref_metadata_2025 huggingface dataset:
Using Machine Learning to Identify a Fake Account
Authors:   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,, MUSSIRALIYEVA Shynar , AZAMATOVA Dinara ,   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,, BAISPAY Gulshat ,   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,
Published: January 2024

Nowadays, due to the rapid growth of social networks, the possibility of various threats is increasing, one of which is fake accounts. The use of machine learning in the issue of identifying fake accounts on a social network is considered. The main goal of the work is to research and develop methods and models of machine learning for the effective detection of fake accounts in social networks. This avoids problems such as extortion, blackmail, harassment, fake requests, insulting a person, unauthorized access to personal information, illegal use of user information through research. The object of the study is fake accounts. Methods used in the research work: scaling methods, machine learning methods, feature selection methods, model evaluation methods. The subject area of the research work is Instagram. The uniqueness of the study is to determine the most reliable way to detect fake accounts using various, widely used methods. Machine learning classifiers were effectively used to detect a fake account: decision tree classifier; classifier KNN; logistic regression classifier; random forest classifier; support vector machine (SVM) classifier. The performance of the models was evaluated using various indicators, such as accuracy, ROC-curve, classification score. Some models, such as Decision Tree, Random Forest, and KNN, have shown stable and high AUC-ROC, Accuracy, Precision, Recall, and F1 scores both during initial testing and after retraining. This highlights the importance of choosing the right features when training a model and shows that not all features are equally useful for all models. As a result of the study, after verifying the effectiveness of using machine learning algorithms to identify fake
Using LoRaWAN Technology to Intelligently Control Urban Lighting
Authors:   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, MANBETOVA Zhanat , DUNAYEV Pavel ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, IMANKUL Manat ,   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,, KALIASKAROV Nurbol ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,
Published: January 2024

Digitalization processes represent a new environment of interconnected systems that implement automatic processes of response without human participation. «Smart city» is an ecosystem that includes many directions, the automation process has a subset of solutions tied to the use of a single network technology, integrating all components into a single link. Kazakhstan has developed state programs aimed at developing a single smart urban management. This paper presents the main characteristics, capabilities and unresolved problems of LoRaWAN technology. The possibility of using LoRa technology for organizing smart lighting systems in the city is shown. The main threats to the information security of LoRaWAN technology have been identified and analyzed. The possibility of using LoRa technology for organizing smart lighting systems in the city is shown. The main threats to the information security of LoRaWAN technology have been identified and analyzed.
ystem for Monitoring and Predicting the Beginning of Icing of Structural Elements of High-Voltage Overhead Power Lines
Authors:   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, NURMAGANBETOVA Gulim , KAVERIN Vladimir ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, Em Gennady ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, LIKHACHEV Vladimir ,   Siberian University of Consumer Cooperation, Russia, Novosibirsk, K. Marx Avenue, 26,, AHMETKALIYEVA Kamila ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,
Published: January 2024

A variant of a combined method for monitoring power supply systems, taking into account joint work with wind generators, is considered. One of the factors affecting the reliability of the combined power supply system is the risk of icing of the elements of the combined power supply system. The article substantiates the relevance of research and development of a system for monitoring and predicting the onset of icing for structural elements of high-voltage overhead power lines with a voltage of 500 kV and above. Three options for implementing a system for monitoring and predicting the onset of icing are considered. The structure of the hardware part of the local system, structurally located in the upper part of the support, is proposed. An algorithm for transmitting information using combined communication channels from towers to a control room is described. A variant of the implementation of the system for monitoring and predicting the onset of icing according to the parameters of temperature and humidity of the environment is considered. An algorithm for the local subsystem controller software has been developed.
Analysis of Existing Methods for Enduring the Protection of Information in Fiber-optic Communication Lines
Authors:   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, MUSAGAZHINOV Madiyar , MEKHTIYEV Ali ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, YURCHENKO Alexey ,   National Research Tomsk Polytechnic University, Russia, Tomsk, Lenin Avenue, 30,
Published: January 2024

The problem of protection against unauthorised access to data is considered and the results of comparing existing methods of extracting data from optical fibreare presented, the possibility to develop algorithms and identification principles that would help control information leakage channels in fibre-optic transmission systems. Developments to solve the problem of information security, in two directions are described. The classification of methods of obtaining information, the physical principles of formation of leakage channels, as well as the methodology for transmitting the proportion of optical radiation outside the propagation environment, as well as the structure, principles of operation, and trends in the development of monitoring systems are presented. Both the advantages and limitations of methods are described. Information is given about the proposed analysis system based on a neural network for more accurate detection of unauthorised connection to the network.
Cell Density Analysis in 5G Cellular Networks
Authors:   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a,, TAISSARIYEVA Kyrmyzy , OSPANOVA Arailym ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a,, JOBALAYEVA Gulim ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a,
Published: January 2024

The increase in high data rate demand has caused an increase in the density of small cells to meet the maximum needs of subscribers. The emergence of an ultra-dense cellular network is due to a powerful MIMO antenna and communication technologies in millimeter waves. One of the most anticipated ways to overcome the uncertainty of the millimeter wave network (mmWave) is to deploy ultra-dense small cells in the future fifth generation (5G). An ultra-dense cellular network is one of the most important tasks for 5G cellular networks. The purpose of this article is to provide an overview of cell location density in cellular networks. The article demonstrated the effect of the number of different small cellular BSS on the bandwidth of the Feedback Network and the energy efficiency of the feedback of ultra-dense cellular networks. The result shows that ultra-dense cellular networks have a small cell density limit.
and moisture that changes often. To achieve high efReview of Gasifier Control Methods
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, AMANKELDIN Shokan , КALININ Alexey ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,
Published: January 2024

Biomass, a sustainable energy source, offers fossil fuel-free potential. Researchers explore techniques like fuzzy control, PID control, and neural networks, often enhanced by AI and predictive modeling. These advances reshape optimization strategies in biomass gasificcation. Key areas include: Fuzzy Control: examining self-learning modules and fuzzy inference systems' adaptability, e.g., dual fluidized bed gasification. PI/PID Control: reviewing Proportional-Integral-Derivative control's role in gasifier temperature management, with DDE-PI tuning. Artificial Neural Networks (ANN): emphasizing ANN models for gas composition forecasts. Air Flow Control: optimizing power via neuro-fuzzy and PI control. This review underscores control's vital role in biomass gasification, offering insights into strategies and applications, advancing sustainable energy production and eco-friendly chemical synthesis
Quantum Simulator as a Training Tool
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, MAMI Darkhan , AMIROV Azamat ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, KOZHANOV Murat ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, SULTANOVA Bakhyt ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, ORYNBASAROV Askhat ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,
Published: January 2024

n the field of quantum computing, the properties of quantum superposition offer a promising potential for solving complex problems in a few minutes, while classical computers would take years to solve the same problem. Therefore, many institutions have introduced courses related to quantum mechanics and quantum computing into their programs. However, there is currently no known web-based tool or PC application dedicated to the study of quantum computing. Quantum computers are not available for educational purposes. In the early stages of learning, students may benefit from a way to practice quantum computing with a visual tool. Quantum computing is usually expressed by a quantum circuit with its sequences of quantum gates. The article talks about the creation of an educational simulator for the study of quantum circuits with various gates, functions and transformation rules. This quantum simulator will help students learn the principles of quantum circuitry in their undergraduate and graduate courses. This tool will offer functions that allow you to build a quantum circuit, add and remove quantum gates, apply transformation rules, and observe the operation of a quantum circuit with its unitary matrix. By practicing with the quantum circuit simulator, students can strengthen their theoretical knowledge base about quantum computing and linear algebraic functions
Modelling of Software and Hardware Information Protection Complex
Authors:   Karaganda University of Kazpotrebsoyuz, Kazakhstan, Karaganda, Akademicheskaya Street, 9,, TEN Tatiana , SPANOVA Bakhyt ,   NPLC «Karaganda Buketov University», Kazakhstan, Karaganda, University Street, 28,, DROZD Vladimir ,   Karaganda University of Kazpotrebsoyuz, Kazakhstan, Karaganda, Akademicheskaya Street, 9,, KOGAY Galina ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, ABILDAEVA Gulnur ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,
Published: January 2024

Modeling of software and hardware protection of information security of the enterprise is carried out in order to prevent and eliminate negative consequences of possible threats. Also the provision of illegal actions against unauthorized access to the information system of the enterprise is given. Features of the software and hardware complex for research of probabilistic-temporal characteristics of functioning of software systems of information protection in networks of information and telecommunication systems are described. A model of multilevel information protection system is considered. In this matter it is possible to provide technological assistance from external auditors, who will qualitatively select the information that needs protection. The process of modeling the protection system consists in building its assumed structure, investigated and obtaining with the help of the designed model the characteristics of the real system. The proposed approach i
Development of an Algorithm for Recognition of the Kazakh-Latin Alphabet in the Image
Authors:   NPJSC «K. Zhubanov Aktobe Regional University», Kazakhstan, Aktobe, A. Moldagulova Avenue, 34,, KULMAGAMBETOVA Zhumazhan , MURZAGULOV Damir ,   NPJSC «K. Zhubanov Aktobe Regional University», Kazakhstan, Aktobe, A. Moldagulova Avenue, 34,, BIGALIYEVA Alfiya ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,
Published: January 2024

The work is devoted to the study of the alphabet recognition process in the image. The goal is to implement a neural network based on the architecture of convolutional neural networks for recognition of the Kazakh Latin alphabet neural network in practice is considered. A convolutional neural network was formed, which was trained to distinguish handwritten English letters and numbers, since specific symbols and graphic features are a distinctive feature for the Kazakh-Latin alphabet. A neural network model has been constructed for preprocessing a data set. Based on the model, a test data set is synthesized, which is used to evaluate and control the quality of the model during training, and a test data set intended for final evaluation of the model's performance after the training process is completed. The general formulation of an effective algorithm capable of automatically recognizing the symbols of the Kazakh-Latin alphabet in images and presenting them in text format is presented. A new approach based on the use of deep convolutional neural networks is proposed.
The Improvement of Automatic Frequency Unloading Algorithm Using Smart Grid Technologies
Authors:   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,, GORKAYEVA Evgeniya , DEIMUNDT Andrey ,   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,, MANAPOVA Nuriya ,   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,, DEMYANENKO Alexander ,   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,
Published: January 2024

. In the CIS countries, in order to limit the frequency reduction in the power system by magnitude and duration, automatic frequency unloading (AFU) devices are used that turn off some consumers when there is a power shortage, where each specific energy district calculates its own dependence between the amount of power shortage and the amount of frequency reduction. Based on these calculations, consumers' feeders are configured, distributed in the AFU1 and AFU2 queues with already set trigger settings. The disadvantage of this method of organizing AFU is the probabilistic nature of calculations and the inability to know in advance exactly how many kilowatts the power consumption will decrease when this particular feeder is turned off. The following parameters of the network operation are also unknown in advance: the number of generating capacities involved, the size of the available rotating reserve, as well as the status of the district's connection to the system at the time of its potential shutdown. Despite the obvious disadvantages of this method of organizing AFU, today it is the only acceptable method in power grids that do not have Smart Grid functionality. Smart Grid technologies allow you to measure the actual generated power from each source, the actual exchange power with a single power system, the actual power consumption on each feeder from the list of AFU, as well as on feeders not included in the list of AFU. The possibility of direct measurement of the above parameters will allow more accurately and more quickly eliminate the power shortage in the power system compared to the current AFU system. The authors have developed an algorithm of AFU based on the maximum use of all the advantages of Smart Grid technology.
Simulation of EMF of Magnetic Current Transformers for Current Protection of a Three-phase Power Transformer
Authors:   NCJSC «Toraighyrov University», Kazakhstan, Pavlodar, Lomov Street, 64,, KOLESNIKOV Evgeniy , NOVOZHILOV Alexander ,   NCJSC «Toraighyrov University», Kazakhstan, Pavlodar, Lomov Street, 64,, RAKHIMBERDINOVA Dilara ,   NCJSC «Toraighyrov University», Kazakhstan, Pavlodar, Lomov Street, 64,, NOVOZHILOV Timofey ,   Omsk State Technical University, Russia, Omsk, Mira Avenue, 11,, ISENOV Janat ,   NCJSC «Toraighyrov University», Kazakhstan, Pavlodar, Lomov Street, 64,
Published: January 2024

One of the most common damage to the windings of three-phase transformers are loop closures. Traditional current protections have low sensitivity to them, and gas protections are not able to protect «dry» transformers. Unconventional protections on magnetic current transformers are devoid of these disadvantages. However, the implementation of such protections is impossible without calculating the MTT EMF in an arbitrary transformer operation mode, the magnitude of which is determined by the magnitude of the axial component of the magnetic field scattering of the transformer coils. Their mathematical modeling is a difficult task and does not allow taking into account the nonlinearity of this transformer. This can be avoided if the ELCUT software package is used to simulate this axial component of the magnetic scattering field of the transformer windings. Based on its use, a method is proposed for modeling the effective value of the EMF induced in the MTT windings located in the places proposed in the considered protection device of a linear three-phase transformer using the ELCUT software package. The adequacy of the results of modeling the magnetic fields of scattering of transformer windings is assessed by comparing the measured and calculated MTT EMF. Recommendations for taking into account the nonlinearity of this transformer are given.
Analysis of Radar Research Methods and Algorithms for Real GPR Data
Authors:   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,, KUSSAINOVA Ainur , TURAROVA Marzhan ,   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,, DAURENBEKOV Kuanysh ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, ORALBEKOVA Zhanar ,   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,, UZAKKYZY Nurgul ,   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,
Published: January 2024

Georadar research is gaining popularity today and actively used in various fields of activity: archaeology, soil studies, groundwater, ecology and others. Moreover, it is used for inspecting highways to assess the thickness of the coating and identify the causes of damage to the coatings, for diagnosing railway tracks, etc. A device that uses the principles of ground penetrating radar is called a georadar. When the GPR moves across the environment under study, a radarogram (profile) is obtained. The main task of interpreting radarograms is to determine the geophysical section of the environment. To solve these problems, algorithms based on engineering technical methods, and computer and mathematical modeling are used. The engineering and technical method of interpreting a radarogram is a comparison of the experiment with already known types of radarograms. The article provides an analysis of radar research methods and algorithms for real ground penetrating radar data. A detailed analysis of the developed domestic algorithms is provided.
Coordination Algorithm of Autonomous Mobile Robot Swarms
Authors:   Astana IT University, Kazakhstan, Astana, Mangilik El Avenue, EXPO Business-Center, Block C1,, KYZYRKANOV Abzal , ATANOV Sabyrzhan ,   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,, ALJAWARNEH Shadi ,   Jordan University of Science and Technology, Jordan, Irbid, P.O.Box 3030,, OTARBAY Zhenis ,   Astana IT University, Kazakhstan, Astana, Mangilik El Avenue, EXPO Business-Center, Block C1,
Published: January 2024

An algorithm is presented that coordinates the movements of multiple robots, ensuring that their positions remain relative to each other as they move. Also, this algorithm allows it to adapt to changing conditions, such as the presence of obstacles. To test the effectiveness of the proposed algorithm, a swarm of nine robots was simulated. The results showed that the algorithm successfully allowed the robots to maintain the desired formation while moving along a given route. Based on these results, it can be concluded that the proposed algorithm is a promising approach for coordinating the movement of a swarm of robots. The practical applications of this algorithm are numerous, including military missions, search and rescue operations, and vehicle control systems. The algorithm can also be extended to larger robot swarms or other types of autonomous systems. In addition, it is possible to further develop this algorithm to solve more complex problems related to robot swarm motion in a dynamic and unpredictable environment.
Development of a Digital Implementation Program for the Reversal Function of Wind Flow Amplifiers
Authors:   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, KHABDULLIN Asset , TATKEYEVA Galina ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, BAUYRZHANULY Madi ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, ALINA Gaukhar ,   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,, ASSAINOV Gibrat ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,
Published: January 2024

The use of technical and software tools to control and make decisions to optimize the electricity production process will help solve the problem of limited economic and labor resources. The results obtained during this study solve the problem of saving electricity in the cities of Kazakhstan. So far, there are only large wind farms, which is not always available in simple urban conditions. Moreover, the software developed during the study will allow autonomous control and analysis of the behavior of the wind farm taking into account various weather conditions. Implemented a construction of decision-making system for control of wind generator panel structures. According to the results of experiments, it was found that automatic control of shield structures allows specialists to increase power by 25%. Thus, a nonlinear relationship between the power of the generated energy, wind speed and direction has been revealed.
Study of the Power Supply System Management from Solar Panels in the Matlab Package
Authors:   NCJSC «D. Serikbayev East Kazakhstan Technical University», Kazakhstan, Oskemen, A.K. Protozanov Street, 69,, BAIDILDINA Aizhan , ALIBEKKYZY Karlygash ,   NCJSC «D. Serikbayev East Kazakhstan Technical University», Kazakhstan, Oskemen, A.K. Protozanov Street, 69,, BELGINOVA Saule ,   Turan University, Kazakhstan, Almaty, Satpayev Street, 16a,, BUGUBAYEVA Alina ,   Karaganda University of Kazpotrebsoyuz, Kazakhstan, Karaganda, Akademicheskaya Street, 9,, SARSENOVA Aizhan ,   NCJSC «D. Serikbayev East Kazakhstan Technical University», Kazakhstan, Oskemen, A.K. Protozanov Street, 69,
Published: January 2024

At present, the active use of renewable energy sources in many developed countries is accepted as a vital, strategically necessary resource that ensures the promising development of the economies of these countries. According to forecasts, the share of renewable energy (solar, wind, tidal, solar energy, etc.) in global energy consumption will increase annually and will reach 30% by 2030, and 50% by 2050. The prospects for sustainable development of the economy of Kazakhstan, as well as other developing countries, are associated with the introduction of a new model of an «inclusive» economy based on the concept of digital transformation – the process of introducing digital technologies, accompanied by optimization of the management system of the organization's main technological processes. Digital transformation opens up new directions for improving socio-economic results for energy business structures and consumers: reducing current operating costs, increasing productivity, personalization and practical orientation of education. The article is devoted to the study of the power supply system of an autonomous object from a solar battery in the MatLab package. During our research, we determined the optimal voltage for a battery and a solar panel, such as a voltage converter, at fixed load settings
Thermoelectric Devices for Human Head Cooling
Authors:   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a,, ASYLBEKOVA Lyaida
Published: January 2024

The article analyzes the types of devices for cooling the human head and their effectiveness in medical practice. A brief description of the principle of operation of existing devices for hypothermia of the human brain is given, their advantages and disadvantages are described. Various methods of head cooling are considered, including the use of ice, water and air. The value of thermoelectric cooling devices for cooling the human head is determined. The need for further research in the field of creating optimal and safe technologies for cooling the human brain is shown. The results of the work can be used in the development of new methods of local hypothermia of the head.
Study of the Influence of the Composition of Manganese Ores on the Quality of Silicomanganese
Authors:   Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan, Naboko E , Issagulova D ,   Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan, Platonova D ,   Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan, Yudakova V ,   Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan, Pitirimova T ,   Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan
Published: January 2024

Today the production of silicomanganese is in a promising direction. Silicon manganese is used to alloy steels, increasing their strength and corrosion resistance; in the production of cast iron, where it plays the role of a desulfurizer and degasser. In recent years, the demand for silicomanganese has increased significantly, which is caused by an increase in steel production in the world. In this work, the issue of using “poor” manganese ores of Kazakh origin to produce high-quality ferroalloys with reduced costs (by reducing import logistics costs) based on Kazakh enterprises was investigated
Experience in Repairing Converter Gas Boiler-Coolers
Authors:   LLP ", Ivashin Y ,   Praktika-T",   , Temirtau, Kazakhstan, Lyssenko L ,   LLP "Praktika-T", Temirtau, Kazakhstan, Starkov V ,   LLP "Praktika-T", Temirtau, Kazakhstan
Published: January 2024

. In this project technical solutions were made based on many year working experience with boiler equipment in the converter shop. This project will reduce converter downtime and increase the volume of the produced liquid metal up to 400 thousand tenge and, taking into account all the extraneous factors, It will increase the economic effect of the ArcelorMittal Temirtau JSC by about $180 million per year without investing additional funds. This will also lead to increasing jobs in the Karaganda region and the opportunity to compete with foreign suppliers. In addition, when working at this project, the share of Kazakhstan content in the manufactured products of the ArcelorMittal Temirtau JSC increases. The use of the repair method described in the article will lead to improving the environmental situation in the city of Temirtau, since the normal functioning of the converter gas boiler-cooler directly affects the pollution of emitted impurities into the city atmosphere. Germany and Russia are interested in this technology.
Fiscal Consolidation and Income Inequality Nexus: Evidence from Pakistan
Authors: Sarwar Ghulam , Khan Zahid Ullah , Saeed Ahmad , Sarfraz Muhammad
Published: January 2024

The distribution of income provides a succinct overview of the economy, revealing how individuals or groups receive specific shares of the national income. Consequently, achieving a fair income distribution has become a central goal for most global economies. The study examines the effect of fiscal consolidation on income inequality in Pakistan. Time series data from 1988 to 2022 is used to estimate the relationship of variables. The ARDL method is used to test the existence of cointegration and to estimate the coefficients of fiscal consolidation and other independent variables. Other variables include minimum wage and trade union density. Per capita GDP and square of per capita GDP are also included in the model to verify the Kuznet hypothesis. The estimates show that fiscal consolidation has a positive impact on income inequality. It implies that if the difference between government expenditures and revenues (i.e., fiscal consolidation) increases, it will enhance income inequality. It may possibly happen by minimizing expenditures or increasing revenues. The empirical results of the study show the existence of an “inverted U-shaped” Kuznet’s curve in Pakistan. Additionally, minimum wage significantly affects income inequality, whereas trade union density is negatively related to income inequality.
SUFI SHRINES AND POLITICS OF NEOPATRIMONIALISM: ANALYSIS SINCE TWENTIETH CENTURY
Authors: Dr. Saima Perveen
Published: January 2024

Since the inception of Sufi fraternities, the political elite sought patrimonial relations with them due to their socio-religious prestige, but the twentieth century witnessed the transformation of these relations from patrimonial to neopatrimonial, based on the exchange of services. This paper develops its argument further that sajjadah nashins or care takers of Sufi shrines gave their support in exchange to politico-economic benefits with taking the examples of African and Asian Muslim countries. This research is a qualitative analysis of this mutual exchange based relations of services and benefits, as an impact of growing consumerism in the countries under colonial rule, since the twentieth century. Based on historical empiricism this research finds that those states where political elite saw Sufi fraternities as a potential threat also went through a transformation after the incident of 9/11, for Sufism was categorized as a tolerant side of Islam in contrast to intolerant Islamic militant groups.
Navigating Barriers to Successful Implementation of Digital Record Management System: A Case Study of Pakistani Public Sector Universities
Authors: Brohi Khuda Bux , Memon Saifullah , Shaikh Khalid Hussain
Published: January 2024

A wide range of challenges are present in the successful implementation of Digital Record Management Systems (DRMS) within the context of public sector universities in Pakistan. In response to the growing imperative for modernizing record-management practices, this research has explored the barriers encountered during the adoption and integration of DRMS. A sample of 60 employees was taken from three public sector universities for this study. Using a qualitative research design, data was collected through a questionnaire having 17 statements. The study identified various barriers to the successful implementation of DRMS, including technological, organizational, and cultural dimensions. Technological challenges include issues related to infrastructure limitations, integration with existing systems, and data security concerns. Organizational barriers manifest in resistance to switching from manual to computerized systems, inadequate training programs, and the absence of strong implementation strategies. Cultural barriers, including lack of confidence and computer literacy, rooted in established record-keeping practices, further contribute to the digitization of previous manual records. The findings underscored the critical importance of addressing these barriers for the successful implementation and sustained use of DRMS in Pakistani public sector universities. Moreover, to present a comprehensive analysis of challenges, the research provided actionable insights and recommendations, including a proper implementation plan, procuring required infrastructure, targeted capacity-building initiatives, and the proper training sessions for record-keepers on DRMS.
ANALISIS PENGARUH KEBIASAAN, GAYA HIDUP DAN PENDAPATAN TERHADAP KEPUTUSAN PEMBELIAN MOTOR HONDA VARIO DI KALIANDA
Authors: Ressa Artanovelia  , Zulfahmi Sengaji  , Radiansyah Egi , Edison Ginting
Published: January 2024

Masyarakat di era modern menghadapi tingkat aktivitas dan mobilitas yang tinggi, mendorong pemilihan moda transportasi yang praktis dan kompak. Sebagai salah satu opsi yang relatif terjangkau, sepeda motor menjadi pilihan utama. Penelitian ini bertujuan untuk memahami faktor-faktor yang mendorong masyarakat untuk memilih sepeda motor sebagai moda transportasi mereka. Dengan menggunakan metode kuantitatif, penelitian ini melibatkan 160 konsumen motor Honda Vario sebagai sampel. Hasil penelitian menunjukkan bahwa kebiasaan memiliki pengaruh positif dan signifikan terhadap keputusan pembelian konsumen, sementara gaya hidup dan pendapatan tidak memiliki pengaruh signifikan terhadap keputusan pembelian konsumen. Temuan ini memberikan wawasan yang berharga untuk memahami preferensi konsumen terkait moda transportasi, khususnya dalam konteks penggunaan sepeda motor. Implikasi dari hasil penelitian ini dapat menjadi dasar bagi industri otomotif untuk mengembangkan strategi pemasaran yang lebih efektif dalam menarik konsumen di era mobilitas tinggi saat ini.
Navigating the Complexities of Individual Investor Behaviour: A study on employees of private sector bank and insurance companies
Authors: Dr. Neha Sahu Dr. Chandni Keswani, Dr. Rishu Roy,
Published: January 2024

Throughout the years, the disposition, mindset, and approach of investors have undergone significant transformations. These changes have encompassed a shift from illogical to rational behavior, impulsive to composed decision-making, and passive to active engagement. Investors are becoming more cognizant of the advantages and disadvantages associated with a specific investing selection. Investors from financial service businesses, such as banking and insurance, exhibit distinct perspectives and behaviors when it comes to making investment decisions. The primary aim of this study is to identify and comprehend the influence of various factors on the investment behavior of employees in the Banking and Insurance sector. A well organized questionnaire is employed to gather data from a sample of 300 participants. The adoption of purposive sampling technique is employed. The data is analyzed using Factor Analysis, Correlation, and ANOVA. The study identified the primary characteristics that influence the investment behavior of individual investors as follows: (I) Security and Benefits, (II) Liquidity and Returns, (III) Influence of Peers, Family and Co-investors, and (IV) Risk Tolerance. These aspects exert a substantial influence on the process of making investment decisions. Consequently, investors must carefully plan and comprehend these factors before committing their funds.
The Impact of Remote Work on the Culture and Performance of Multinational Corporations
Authors: Dr. K. K. Lakshmi Dr. Chintala Lakshmana Rao, Dr K K Ramachandran, , Tanvi Jindal Dr Veena Prasad Vemuri, Chandrika Bagepalli Krishnan,
Published: January 2024

This research explores the complicated dynamics of how remote work influences MNC culture and productivity. This mixed-methods research explores global work's ever-changing reality using quantitative data and qualitative insights from Schein's Organizational Culture Model and the Globally Distributed Teams Framework. Qualitative research within MNCs shows major cultural developments, including changes in communication techniques, acceptance of adaptation as normal operating practice, and increased cultural diversity. The quantitative study reveals that remote work improves organizational and employee effectiveness. The study emphasizes the strategic importance of adaptability, different perspectives, and flexibility for multinational companies (MNCs) to prosper in the era of remote labor. The Resource-Based View (RBV) and Hofstede's Cultural Dimensions Theory lead discussions and provide practical guidance for businesses managing a remote, global workforce. As practitioners, legislators, and organizational leaders define remote work's post-pandemic trajectory, the research provides pragmatic insights and theoretical understanding about the future of work. How cultures grow, how leadership influences remote teams, how to enhance performance metrics, and how new technology affects talent management and distant collaboration in global businesses are possible study subjects.
Impact of Employee Performance Appraisal System On Employee Productivity A Study of Selected of Educational Institutes
Authors: Paridhi Jain Dr. Rekha Swarnkar ,
Published: January 2024

The Employee performance is the strength of organization and Employee performance has traditionally been accorded prime focus by human resource managers. As a result, a number of performance appraisal techniques have over time been devised to help establish employee„s performance. In the contemporary times, the use of performance appraisals has been extended beyond the rating of the employee„s performance to aspects such as motivation. Accordingly, by the sought to investigate effectiveness of performance appraisal systems and its effect on employee motivation.

Performance appraisal is a widely discussed concept in the field of performance management. The importance accorded to performance appraisal systems in part arises from the nature of the current business environment, which is marked by the need to achieve organisational goals as well as remain relevant in intensely competitive markets through superior employee performance. The organisations can however control how employees perform their jobs. In addition, performance management research shows that a significant number of employees tend to have the desire to perform their jobs well as part of their individual goals as well as a demonstration of loyalty towards the organisation.
On the norm of the Riesz projection from L∞ to Lp
Authors: Konyagin Sergei
Published: January 2024

We will consider 2𝜋-periodic functions of countably many variables. Let 𝕋 = ℝ ∕ (2𝜋 ℤ) and 𝜇∞ denote the Haar measure on 𝕋∞ normalized so that 𝜇∞(𝕋∞) = 1. Any function 𝑓 ∈ 𝐿(𝕋∞) has the Fourier expansion where now the sum is taken over all 𝒌 = (𝑘1, 𝑘2, … ) with integers 𝑘1, 𝑘2, … , such that all these numbers but finitely many are equal to 0. We consider the Riesz operator 𝑅 defined on the space 𝐿2(𝕋∞).

We prove that for any 𝑝 > 2, 𝑞 > 2 the Riesz operator is not a bounded operator from 𝐿𝑝 to 𝐿𝑞.

The talk is based on a joint paper with Herve Queffélec, Eero Saksman, and Kristian Seip.
Are Public Investment and Education Expenditures Productive in the Argentine Case? A FMOLS and DOLS Analysis, 1960-2019
Authors: Ramirez Miguel D.
Published: January 2024

This paper examines whether public investment spending and public education expenditures (a proxy for human capital) in Argentina have a positive and significant effect on economic output and labor productivity for the 1960-2019 period. The paper estimates a simple model that incorporates the impact of public and private investment spending, education expenditures (including at the secondary level), and the labor force. It presents a modified empirical counterpart to the simple model and tests for unit roots and performs both a Johansen cointegration test and a Gregory and Hansen cointegration test with an endogenously determined regime shift. FMOLS and DOLS long-run estimates for the 1960-2019 period suggest that public and private investment spending, government education expenditures, and the labor force have a positive and significant effect on the level of economic output and labor productivity. For comparison purposes, both methodologies are used because these estimators are extremely consistent, particularly the DOLS estimator, even in the presence of both endogeneity and serial correlation of any order. The concluding section summarizes the major results and discusses potential avenues for future research on this important topic.
A Conceptual Examining of the Interplay Between Technical and Conceptual Skills of Social Media Managers as Predictors of Job Performance: The Moderating Influence on Brand Equity
Authors: Alateya Abbas Alwan Ghazi , Baskaran Shathees
Published: January 2024

This study explores the impact of social media managers'(SMM) technical and conceptual skills on job performance, with brand equity as a moderating factor. As social media usage grows, firms integrate it into marketing plans, necessitating research on its influence on job performance. Expected positive outcomes include marketing performance, cost effectiveness, operational excellence, and customer satisfaction. The research aims to enhance theoretical understanding of social media managers' roles and guide organizations in leveraging their contributions to boost employee job performance. Empirical testing will further illuminate the link between technical and conceptual skills, job performance, brand equity, and social exchange theory.
The Impact of Artificial Intelligence on the Accounting Profession: A Concept Paper
Authors: Hussin Nurul Afza Khusaini Mat , Bukhari Nurul Ain Nadiah Mohd , Hashim Nurul Hani Azyyati Nor , Bahari Sharina Nur Azyyati Shaipul , Ali Mazurina Mohd
Published: January 2024

This study examined the impact of artificial intelligence (AI) on the accounting profession. It systematically investigated the effects of AI technologies on the accounting field, redefining the roles and responsibilities of accountants. Through literature review, this study sheds light on AI influence on the accounting profession. The results of this study indicate that the impact of AI on accounting profession can be divided into three themes: (i) automation of routine tasks, (ii) enhanced data analysis, and (iii) value-adding of the professional roles. The automation of routine tasks includes data entry, validation, and transaction processing, while enhanced data analysis includes predictive analytics and decision support. AI also has impacted in terms of value-adding of the professional roles, which comprise of increasing scalability and cost savings and focus on higher value activities. The findings of this study suggest that the accounting profession is evolving in response to AI technology, and accountants should embrace these changes to harness the full potential of AI in their work.
Pendampingan Kegiatan Mewarnai Gambar sebagai Pengalihan Aktivitas Anak dari Bermain Gadget di Kelurahan Rabadompu Barat Kecamatan Raba Kota Bima
Authors: Nurhasanah Nurhasanah , Nurlaila Nurlaila
Published: January 2024

Perkembangan teknologi dewasa ini sangatlah pesat dan membawa dampak yang besar bagi kehidupan manusia di berbagai lini kehidupan salah satu perkembangan yang masif terlihat pada perangkat lunak yaitu gawai/gadget. perkembangan teknologi tersebut selain membawa dampak positif bagi kehidupan juga membawa dampak negatif terutama pengunaan gadget pada anak-anak, dimana pemakaian gadget pada anak-anak telah sangat meresahkan dan berpengaruh pada kehidupan sehari-hari mereka, sebagian besar waktu mereka habiskan di depan layar handphone sehingga berpengaruh terhadap tumbuh kembang dan motivasi belajar mereka untuk itu pengabdian ini hadir sebagai bentuk perhatian dan upaya kami untuk memberikan edukasi dan pendampingan terhadap masyarakat. salah satu media yang kami gunakan untuk mengalihkan perhatian anak-anak terhadap gadget yaitu  kegiatan mewarnai gambar yang nantinya membawa dampak positif bagi anaka-anak. Tujuan pengabdian ini yaitu (1) untuk memberikan edukasi terhadap anak dan orang tua mengenai bahaya gadget (2) Pendampingan Kegiatan Mewarnai Gambar Sebagai Pengalihan Aktivitas Anak Dari Bermain Gadget.
Impact of bariatric surgery on maternal gestational weight gain and pregnancy outcomes in women with obesity: A population-based cohort study from Qatar
Authors: Vazhiyelethil Jesni , Minisha Fathima , Al Obaidly Sawsan , AlQubaisi Mai , Salama Husam , Ali Najah , Khenyab Najat , Mohan Suruchi , Pallivalappil Abdul Rouf , Al-Dewik Nader , Al Rifai Hilal , Farrell Tom
Published: January 2024

Background: Bariatric surgery is performed in obese women of reproductive age to help achieve a healthy prepregnancy weight to reduce the complications associated with obesity in pregnancy. However, these procedures can impact maternal nutrition and gestational weight gain (GWG). This study evaluates the maternal and neonatal outcomes in women with prepregnancy bariatric surgery and determines the impact on GWG. Methods: This study included 24 weeks gestation or more pregnancies, with a maternal BMI at delivery of 30 kg/m2 or more. It was categorized into two groups based on whether they had prepregnancy bariatric surgery (exposed) or not (unexposed). The outcomes included gestational diabetes (GDM), gestational hypertension (GHT), mode of delivery, preterm birth (PTB), GWG, birthweight (BW) and customized BW centiles, low birthweight (LBW), congenital anomalies, and admission to the neonatal intensive unit (NICU). Categorization was also done based on the adequacy of GWG (low, adequate, and excess). Results: A total of 8,323 women were included in the study, 194 of whom had prepregnancy bariatric surgery. After adjusting for confounders, the exposed group had a mean GWG 1.33 kg higher than the unexposed group (95% CI 0.55-2.13, p = 0.001). The exposed group had higher odds of PTB (aOR 1.78, 95% CI 1.16-2.74, p = 0.008), CD (aOR 6.52, 95% CI 4.28-9.93, p < 0.001), LBW in term babies (aOR 2.60, 95% CI 1.34-5.03, p = 0.005), congenital anomalies (aOR 2.64, 95% CI 1.21-5.77, p = 0.015), low APGAR score (aOR 3.75, 95% CI 1.12-12.5, p = 0.032) and 80.4g lesser birthweight (95% CI -153.0, -5.8; p = 0.034). More women in the low GWG category had LBW babies (28.6% versus 6.7% in the high GWG group, p = 0.033), lowest mean BW and median BW centiles (2775 grams versus 3289 grams in the high GWG group, p = 0.004 and 57.5% versus 74.5% in the high GWG group, p = 0.040, respectively). Conclusion: The findings of this study highlight differences in perinatal outcomes such as preterm birth, low birth weight, congenital anomalies, cesarean deliveries, and gestational weight gain between post-bariatric women and controls. These insights can help inform the planning and provision of appropriate maternity care to enhance patient safety and outcomes. The results of this study can also guide the counseling of reproductive age-group women who are planning to undergo bariatric surgery.