Creation Of Technologies Research Articles

ПРОБЛЕМИ ФОРМУВАННЯ КАР’ЄРНОЇ КОМПЕТЕНТНОСТІ МАЙБУТНІХ БАКАЛАВРІВ З ЕКОНОМІКИ ПІДПРИЄМСТВА В НАУКОВІЙ ЛІТЕРАТУРІ ТА ПЕДАГОГІЧНІЙ ПРАКТИЦІ

The article deals with the state of research of the problem of formation and development of career competence in scientific literature and pedagogical practice. The essence of the article is specified on the process of professional training of future bachelors in business economics. The author compares the positions of domestic and foreign researchers. Attention is focused on personality development of future specialists, their attitude to their own professional career. The desire to make a career is one of the significant desires of future bachelors from the economy of the enterprise, in which during the professional training in the HEI formed the desire to realize their personal potential and an idea of professional success. Therefore, it is important for each of them to be aware of the priorities of their own career orientations to know where he is waiting for success, what to strive for professional development. The variety of orientations of the future bachelor in social and professional interaction allows him to enjoy his work, easier to overcome problematic situations, more actively personally self -realized. To help him with this is an important task of pedagogical staff. To this end, researchers of the Laboratory of Vocational Career of Vocational Education of the National Academy of Pedagogical Sciences of Ukraine are working on the creation of modern methods and technologies for the formation of career orientations and development of career and business competence of future specialists. The studies produce encouraging results. Key words: career, career orientations, education seekers, social consciousness, bachelor, self-development

International protection of intellectual property rights: cooperation of the Republic of Kazakhstan within WIPO

The article is devoted to the consideration of the issue of international cooperation of the Republic of Kazakhstan and the World Intellectual Property Organization. The author explores the role of WIPO in the field of intellectual property protection, international agreements of which it is the administrator. The article describes in detail the process of the formation of the Republic of Kazakhstan as a full member of the international institutional mechanism of WIPO for the protection of intellectual property rights within the UN. The main events held and adopted by the Republic of Kazakhstan with the assistance of this international organization are considered. Moreover, the author also considers WIPO projects in which the Republic of Kazakhstan will participate in the near future, such as the creation of technology and innovation support centers (TISCs) in our country. The article gives an assessment and the role of WIPO in the organization of the mechanism for the protection of intellectual property rights in Kazakhstan. The international organization provided assistance to our country in matters of harmonization of legislation with international standards, digitalization of services, professional training of personnel and expansion of international cooperation.

Creation of low-waste technologies at Russian Railways through the introduction of the Bars pyrolysis plant

The volume of industrial and household waste is growing annually, for the storage of which agricultural land is being withdrawn. Waste produced by Russian Railways can cause the destruction of natural ecosystems and lead to the extinction of species.To reduce the impact on natural ecosystems, Russian Railways financed the construction of the largest waste recycling plant in Russia. The uniqueness of the plant lies in its closed-loop processing system without oxygen access. No harmful substances are released into the atmosphere during the combustion process. This method of waste disposal is intended for the processing and disposal of tires, rubber-containing, polymer-containing waste, oil sludge and waste oils.Introduction of modern waste recycling technologies (Bars pyrolysis plant) by all divisions of JSC Russian Railways, it will help reduce the negative impact on the environment, will allow you to quickly and efficiently dispose of hazardous waste, as well as be cost-effective by obtaining secondary raw materials that will give the company profit and pay off the cost of installing equipment.

Resolution-enhanced Kendrick mass defect analysis for improved mass spectrometry characterization of lignin

Lignin is a promising renewable source of valuable organic compounds and environmentally benign materials. However, its involvement in economic circulation and the creation of new biorefining technologies require an understanding of its chemical composition and structure. This problem can be overcome by applying mass spectrometry analytical techniques in combination with advanced chemometric methods for mass spectra processing. The present study is aimed at the development of mass defect filtering to characterize the chemical composition of lignin at the molecular level. This study introduces a novel approach involving resolution-enhanced Kendrick mass defect (REKMD) analysis for the processing of atmospheric pressure photoionization Orbitrap mass spectra of lignin. The set of priority Kendrick fractional base units was predefined in model experiments and provided a substantially expanding available mass defect range for the informative visualization of lignin mass spectra. The developed REKMD analysis strategy allowed to obtain the most complete data on all the homologous series typical of lignin and thus facilitated the interpretation and assignment of elemental compositions and structural formulas to oligomers detected in extremely complex mass spectra, including tandem ones. For the first time, the minor modifications (sulfation) of lignin obtained in ionic liquid-based biorefining processes were revealed.

Current Issues Related to Anthropometry in Engineering

Anthropos and Metrikos both mean "human" in Greek, which is where the term anthropometry comes from. Anthropometry is employed in a variety of fields, including apparel and textile design. For anthropometric evaluations, a current, thorough, and community-specific anthropometric normative-reference standard is necessary. In health care, ergonomic design is utilised to reduce pain and illness. Misalignments between humans and machines result in pain, accidents, biomechanical stress, tiredness, and musculoskeletal injuries. Designing for the anthropometrics of end users improves long-term viability. The human body comes in a wide range of sizes and shapes. Manual measurement and 3D scanning procedures, on the other hand, are inefficient and expensive, making precise body measurements difficult. This is especially true for head-worn medical devices. Manual measurement and 3D scanning are inefficient and expensive, making precise body measurements difficult. Grip strength and force were determined using hand measurements. Anthropometric parameter estimate is more precise when a 3D model is used to boost pinnae features. While numerous anatomical features have been gathered to aid in the ergonomic design of wearable devices, there is still a lot more work to be done. In three dimensions, the segment masses and torso Centre of Mass (COM) may be calculated. Researchers tracking mobility would benefit greatly from the ability to locate the body COM using a weighted sum of segment masses. Design features such as comfort and usefulness are crucial. Ergonomic characteristics like taller seats with front slopes and saddle chairs encourage good posture, movement, and alternation. In the creation of wearable technologies, using outdated anthropometric reference standards may be insufficient. This review discuses common issues related to anthropometry in engineering which includes the human body, anthropometric parameters, anthropometric measurements, the force plate method, ergonomic design, and body dimension. The goal is to give a broad overview of the subject.

ARDL and VECM Investigation of the Environmental Kuznets Curve Hypothesis in Egypt, India, Mexico, Pakistan, Thailand, and Turkey: Financial Development, Globalization, and Government Expenditure Implications for Sustainable Development

<p class="MsoNormal" style="margin-top: 10pt; text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">The present paper empirically examines the validity of the environmental Kuznets curve (EKC) hypothesis, which posits an inverted U-shaped relationship between CO2 emissions and economic growth, in Egypt, India, Mexico, Pakistan, Thailand, and Turkey for the period 1970-2020. The EKC validity is highly debated due to varying results across countries. This study is significant to addresses this controversy by estimating the EKC's robustness while considering the influence of financial development, globalization, and government expenditure. We employ two cointegration techniques, the autoregressive distributed lag (ARDL) and vector error correction model (VECM), also considering potential structural breaks in the data. Out key findings indicate that the EKC hypothesis is supported in India, Pakistan, and Turkey, with carbon emissions eventually declining after reaching a peak. The hypothesis is not supported in Egypt and Thailand, where emissions rise monotonically with economic growth. In Mexico, the results are mixed, with ARDL suggesting a U-shaped relationship and VECM supporting the EKC. From our empirical analysis of the EKC hypothesis, we derive the following policy implications: 1) countries should adopt comprehensive policy strategies that integrate these goals and fully consider the long-term environmental and societal impacts of their decisions; 2) countries should invest heavily in research and development to accelerate the creation of new technologies that can effectively reduce carbon emissions; and 3) countries must actively raise awareness about the environmental repercussions of economic growth.</span></p>

NEFT SƏNAYESİNDƏ TEXNOLOJİ İNKİŞAF

The role of oil in the world economy is known to everyone. For this reason, the application of more advanced technologies in the production of black gold can be considered a forced measure. Improvement of existing production methods is a great driving force for the development of scientific and research works in this field. It can be said that the most important trend in the development of scientific achievements in all fields is the creation of new environmental technologies. Of course, this trend has not bypassed the oil industry. To this end, in 2020, most countries began to allocate additional funding for research projects in the field of lowcarbon energy. Thus, due to the crisis of the time, there was clearly a decline in R&D spending by private organizations. The International Energy Agency estimates that by 2030, the amount of funding allocated to research on large-scale low-carbon energy technologies by various countries will be $50 billion. Of particular note is Japan's planned investment of about 20 billion dollars. The article will discuss the main directions of the mentioned research and development activities and new technologies.

Spectroscopy of phononic switching of magnetization in the terahertz gap

All-optical schemes for switching magnetization offer a pathway towards the creation of more advanced data-storage technologies, both in terms of recording speed and energy-efficiency. It has previously been shown that picosecond-long optical pulses with central frequencies ranging between 12 and 30 THz are capable of driving magnetic switching in yttrium-iron-garnet films, provided that the excitation frequency matches the characteristic frequency of longitudinal optical phonons. Here, we explore how the phononic mechanism of magnetic switching in three distinct ferrimagnetic iron-garnet films evolves at optical frequencies below 10 THz, within the so-called terahertz gap. We find that at long wavelengths the magnetic switching rather correlates with phonon modes associated with the substrate. Our results show that the process of phononic switching of magnetization, previously discovered in the mid- to far-infrared spectral range, becomes much more complex at frequencies within the terahertz gap.

Revival of cultural textile arts: creation of innovative weaving technology for fabricating traditional Chinese non-fixed four-warp leno

China is hailed as a country with a long history of producing silk and is known for the development and evolution of various weaving structures. The non-fixed four-warp leno is an ancient textile that is well-known for its soft, thin, airy texture and high quality. Unfortunately, the production method and apparatus have been lost. This research thus focuses on the development of a novel weaving technology and system to produce the non-fixed four-warp leno. Its major mechanism involves (1) an innovative synchronized vertical and horizontal lifting system to alter the current rigid one that can only produce a simple fixed leno; (2) an effective distance control technology to achieve flexible yet accurate placement of warps for leno formation without limitations on leno pattern and structures; and (3) an alternative method for securing the clearance of the shed to eliminate undesirable twine. It will thus contribute to a breakthrough in weaving technology, functional textiles and aesthetic design. The development of mechanized weaving can enable mass production and mass coverage, eventually contributing to the transmission of special techniques and the sustainable development of high value-added textile products.

Ensuring Intellectual Rights Protection in the context of Advanced Technologies Development

The paper is devoted to the issues related to the observance of the rights of authors and copyright holders in the creation and development of advanced technologies. The paper concludes that the use of objects of copyright and related rights, topologies of integrated circuits in the training of artificial intelligence technologies is an unnamed way of using the corresponding objects. It is established that the use of these objects in a similar way without the consent of the copyright holders should be recognized as a violation of exclusive rights. In addition, it is proved that the use of information about protected objects of patent law in the training of artificial intelligence algorithms is not a violation of patent rights from the point of view of current legislation. The conclusion is formulated about the need to consolidate mechanisms to ensure the rights of authors and copyright holders of results of intellectual work used in the creation and development of advanced technologies. Similar mechanisms are proposed by the author. It is proved that in the absence of such mechanisms as technology develops, a situation may arise when ensuring the rights of developers of advanced technologies will be carried out to the detriment of respect for the rights and legitimate interests of authors and copyright holders.

Understanding AI innovation contexts: a review and content analysis of artificial intelligence and entrepreneurial ecosystems research

PurposeAn emerging research stream focuses on the place-based ecosystems where artificial intelligence (AI) innovations emerge and develop. This literature builds on the contextual turn in management research and, specifically, work on entrepreneurial ecosystems. However, as a nascent research area, the literature on AI and entrepreneurial ecosystems is fragmented across academic and practitioner boundaries and unconnected disciplines because of disparate and ill-defined concepts. As a result, the literature is disorganized and its main insights are latent. The purpose of this paper is to synthesize research on AI ecosystems and identify the main insights.Design/methodology/approachWe first consolidate research on the “where” of AI innovation through a scoping review. To address the fragmentation in the literature and understand how entrepreneurial ecosystems are associated with AI innovation, we then use content analysis to explore the literature.FindingsWe identify the main characteristics of the AI and ecosystems literature and the key dimensions of “AI entrepreneurial ecosystems”: the local actors and factors in geographic territories that are coordinated to support the creation and development of AI technologies. We clarify the relationships among AI technologies and ecosystem dimensions and uncover the latent themes and underlying structure of research on AI entrepreneurial ecosystems.Originality/valueWe increase conceptual precision by introducing and defining an umbrella concept—AI entrepreneurial ecosystem—and propose a research agenda to spur further insights. Our analysis contributes to research at the intersection of management, information systems, and entrepreneurship and creates actionable insights for practitioners influenced by the geographic agglomeration of AI innovation.

Sovereign Intelligent Platform Economy on BRICS+ Platform

The sovereignty of the economy of the BRICS+ community is based on intelligent platforms for interaction between users, including commercial transactions and innovative solutions. International platform-based regulated economic interaction on the BRICS+ platform is relevant for the formation of a fair, secure world order. International platform-based regulated economic interaction leads to the formation of technological sovereignty of the BRICS+ countries, to the creation of energy-efficient technologies and energy-optimal proposals to meet demand. An international energy-equivalent economy promotes optimal energy use.

Standard Framework Construction of Technology and Equipment for Big Data in Crop Phenomics

Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional genomics, digital breeding, and smart cultivation. Despite this advancement, the lack of standards for the creation and usage of crop phenomics technology and equipment has become a bottleneck, limiting the industry’s high-quality development. This paper begins with an overview of the crop phenotyping industry and presents an industrial mapping of technology and equipment for big data in crop phenomics. It analyzes the necessity and current state of constructing a standard framework for crop phenotyping. Furthermore, this paper proposes the intended organizational structure and goals of the standard framework. It details the essentials of the standard framework in the research and development of hardware and equipment, data acquisition, and the storage and management of crop phenotyping data. Finally, it discusses promoting the construction and evaluation of the standard framework, aiming to provide ideas for developing a high-quality standard framework for crop phenotyping.

Transparent Concrete: A Brief Review

Abstract: World is actively engaged in the creation of unique materials and technologies since the dawn of human civilization. Humans are different from other animals in that we want to live easier, more sophisticated lives. Concrete is nothing short of a miracle for human evolution in this era of constant advancement. One of those cutting-edge varieties of concrete is transparent concrete, which not only dispels the stereotype of concrete as a lifeless, colorless substance but also contributes to energy conservation, one of the main issues facing the modern world. Concrete that transmits light, sometimes referred to as translucent concrete. Due to incorporated light optical elements, the material has light-transmissive qualities. The concrete block allows light to pass through it from one end to the other. Therefore, in order to get maximal light penetration, fibers must travel through the entire object. Natural light in buildings is obstructed by the construction of skyscrapers and high-rise buildings. The use of artificial light has significantly increased as a result of this issue.

Implementation of Multi Extension in Blockchain-Based IoT Platform for Industrial IoT Devices

The rise of the Internet of Things (IoT) has led to the creation of technologies to improve human life. IoT involves integrating the Internet with the physical world, spanning applications like smart homes, industries, supply chains, academia, and more. By the end of 2020, around 212 billion IoT devices were globally deployed, presenting substantial opportunities for manufacturers and diverse applications. There have been numerous implementations of IoT across various fields, including Blockchain IoT (B-IoT), Artificial Intelligence of Things (AIoT), Digital Twin, and new communication protocols like the Matter protocol. We conducted a comprehensive testing of the blockchain (B-IoT) extension system on various bandwidths and scenarios, such as blockchain API execution time, speed, retention performance, and smart contract vulnerability testing. Our testing has been successful, and several messaging systems were used. Kafka was recommended to overcome the pending transaction problem caused by unprocessed messages. Our smart contract exhibited high severity. The Artificial Intelligence of Things extension, tested on real environments for person and vehicle counters, has shown successful results. Digital Twin, integrated into the IoT platform to perform and control 3D assets such as the postgraduate PENS building, has demonstrated efficient performance. Matter protocol achieved an average task execution speed of 0.48 tasks per second. Matter P2P communication was also successfully tested in this research by implementing the Access Control List (ACL) command.

Ethnocultural and Ethnopsychological Principles of Working with Foreign Students

Ethnocultural and ethnopsychological features of interaction with foreign students require the creation of certain educational technologies and creative trajectories of communication in the learning process. In this case, cognition is based on understanding as a result of cognitive operations, and education is based on “confirmation” of reality as a condition for the formation of a professional’s personality. These are two wings for mastering independent creative flight. The purpose of the work is to demonstrate the principles of information modeling in the educational process with the cooperation of representatives of different ethnic cultures. The teaching of professional disciplines involves, depending on the subject, creative modeling of the structure, the actual algorithm and the compositional solution of effective knowledge transfer. The game principle in such modeling is expressed in the elements of the training that remove linguistic barriers. Each component of such a model is largely correlated with the content of the ethnocultural space and the ethnopsychological field of foreign students at the group and individual levels. The teacher becomes a kind of “guide” not only to the profession, but also to the culture and traditions of the country in which students receive their education. In the classroom, an intellectual atmosphere is created through the disclosure of various cultural codes that manifest themselves in the process of communication and reflect the original perception of reality. The professional worldview is formed as a result of the synthesis of ethnocultural ideas about the world, that is, monocultural concepts are fused into multicultural systems that define the individual author’s handwriting of a professional.

Method of generating applications in natural language based on the improved BERT model

The object of the research is the process of forming applications for receiving services. During the creation of information systems and information technologies for the automated management of services in various subject areas, there is a constant need to develop models, methods and algorithms that could automate the process of forming applications for receiving services. The main directions of research in this field are related to the use of methods and models of machine learning and natural language processing. But such methods and models have disadvantages that significantly complicate the application of these methods and models in information systems and technologies that automate the process of forming applications for receiving services. Therefore, research aimed at the development of methods and models in which these disadvantages are eliminated due to a combination of known models and methods is relevant. The BERT model was chosen as the basis for the development of a combined method of forming an application for receiving a service. To eliminate its shortcomings, it is proposed to use less expensive methods of machine learning. The developed combined method consists of five stages: analysis of a text query using the BERT model; calculation of weighting factors using linear regression; implementation of the trained classification model using machine learning methods; categorization of text descriptions using the Bayesian model; providing recommendations to system users. The experimental verification of the developed combined method was carried out on the example of the task of forming and processing applications for obtaining a car rental service. For the development of information technology, the Python language and separate libraries were used, which allow the integration of the developed technology into the company's website. The obtained results allow us to assert the feasibility of using the developed combined method during the formation of applications in the form of small texts in the natural language of users.

Advanced Biomimetic and Biohybrid Magnetic Micro/Nano‐Machines

AbstractBiomimetic and biohybrid micro/nano‐structures involve the replication and creation of technologies, structures, and materials based on biological systems at the micrometer and nanometer scale. These strategies harness the natural biological principles to develop innovative treatment methods and advanced microstructure devices for noninvasive therapies. In this study, a detailed overview of fabrication processes, magnetically assisted locomotive techniques, and potential applications of biomimetic and biohybrid micro/nano‐machines are presented. The latest advancements in magnetically actuated biomimetic structures, such as annelid‐worm‐like microswimmers, jellyfish‐shaped microparticles, fish‐shaped microswimmers, and walnut‐shaped micromotors are explored. Additionally, the magnetic biohybrid systems, including sunflower seed‐based micro‐perforators, nanomotors extracted from the bamboo stem, sperm cell‐based micromotors, bacteria‐based robots, scaffold‐based microrobots, DNA‐based micromotors, microalgae‐based microswimmers, and red blood cell‐based microswimmers are also examined. A thorough investigation of the magnetically assisted locomotive behavior of these microstructure devices in biological Newtonian fluids, featuring cork‐screw motion, undulatory motion, surface wrinkling motion, traveling wave‐like motion, and ciliary stroke motion is discussed. Furthermore, unprecedented and innovative treatment methods developed using these minuscule devices such as cervical cancer treatment using tetrapod hybrid sperm micromotors, tissue regeneration using silk fibroin protein‐based magnetic microscale scaffolds, and doxorubicin drug delivery using mushroom‐based microrobots is extensively presented.

Preparation of light fraction silicate filer after the mining for the base layers’ road construction

The article main objective was eco-innovation in the field of utilization and creation of a complex waste-free technology for the separation of components during ore extraction with subsequent processing, recovery of mine tailings in combination with available energy. The article deals with the topic of production and preparation of base layers for road construction in the form of silicate filer after separation of ore mining. The chemical and mineralogical composition on the fine fraction of the separated tailings was carried out by XRD analysis, filer particle size followed up by Laser Granulometry and other comprehensive measurements and the development of basic parameters by individual standard tests. The results determined on the functional sample demonstrated that it is possible to create an almost completely waste-free technology in the field of separation of components during ore extraction and its subsequent processing and use for the base layers of linear road construction.

Hyperparameter tuning using Lévy flight and interactive crossover-based reptile search algorithm for eye movement event classification.

Introduction: Eye movement is one of the cues used in human-machine interface technologies for predicting the intention of users. The developing application in eye movement event detection is the creation of assistive technologies for paralyzed patients. However, developing an effective classifier is one of the main issues in eye movement event detection. Methods: In this paper, bidirectional long short-term memory (BILSTM) is proposed along with hyperparameter tuning for achieving effective eye movement event classification. The Lévy flight and interactive crossover-based reptile search algorithm (LICRSA) is used for optimizing the hyperparameters of BILSTM. The issues related to overfitting are avoided by using fuzzy data augmentation (FDA), and a deep neural network, namely, VGG-19, is used for extracting features from eye movements. Therefore, the optimization of hyperparameters using LICRSA enhances the classification of eye movement events using BILSTM. Results and Discussion: The proposed BILSTM-LICRSA is evaluated by using accuracy, precision, sensitivity, F1-score, area under the receiver operating characteristic (AUROC) curve measure, and area under the precision-recall curve (AUPRC) measure for four datasets, namely, Lund2013, collected dataset, GazeBaseR, and UTMultiView. The gazeNet, human manual classification (HMC), and multi-source information-embedded approach (MSIEA) are used for comparison with the BILSTM-LICRSA. The F1-score of BILSTM-LICRSA for the GazeBaseR dataset is 98.99%, which is higher than that of the MSIEA.