Development Of Technology Research Articles

Bridging the Visualization Gap

The integration of three-dimensional (3D) modelling tools in educational settings promises a transformative shift in teaching complex concepts. Despite their potential, the actual deployment of such tools faces substantial pedagogical and technical challenges, primarily due to the "visualization gap" between traditional 2D resources and 3D constructs. This gap can significantly hinder students' understanding and retention of complex spatial concepts critical in disciplines such as medicine, engineering, and architecture. To address these challenges, this paper introduces the Integrated VR Educational Technology Assessment (IVRETA) framework, designed to evaluate and guides the development of virtual reality (VR) and augmented reality (AR) tools in education. IVRETA assesses tools across three dimensions: Interaction and Usability, Learning Enhancement, and Authentic Pedagogy and Adaptability. Applying this framework, we evaluate 3D Whiteboard, a practical tool designed to facilitate dynamic interaction with 3D models and enhance educational outcomes through immersive learning experiences. The paper underscores the potential of the 3D Whiteboard in bridging the visualization gap and improving educational practices across various disciplines, demonstrating how IVRETA can guide the assessment and improvement of educational technologies. By providing a robust foundation for the development and enhancement of educational technologies, IVRETA supports ongoing innovation in educational settings.

Design and Optimization of Higher Education Online English Teaching Utilizing Wireless Network Technology in the Context of 5G

The global demand for wireless communication networks is a result of the widespread use of wireless devices and the related surge of wireless service providers. Data transmission speed, coverage areas, cost-effectiveness, resource utilization, security, scalability, and adaptability are all elements expected to be improved in future 5G wireless networks. Since this rapid development of network communication technology affects the delivery of English education in tertiary contexts, English teachers in colleges and universities should make use of network resources—especially the communication tools embedded in the 5G network. File transfer protocol can utilize the advanced artificial bee colony optimization algorithm (AABCOA) to realize classification, and the system proposed in this article is simulated and tested in Matrix Laboratory (MATLAB). The research results indicate that students are unsatisfied with traditional methods of English pedagogy in higher education and are keen to explore the new learning possibilities provided by 5G integrated wireless network technology.

Exploring carbon emission effects of national-level industrial park policies on cities in China

Serving as the backbone of economic development, industrial parks have strong implications for reducing carbon emissions in China under the “carbon peak and carbon neutrality” background. This study explores the carbon emission reduction effects of three different types of national-level industrial parks on prefectural-level cities in China, including economic and technological development zones (ETDZs), eco-industrial demonstration parks (EIDPs), and low-carbon industrial parks (LCIPs). Data on 204 prefectural-level cities over the period of 1999 to 2019 were examined by using the difference-in-differences method and the mediating effect model. The study revealed that (1) the three types of industrial parks significantly reduced the intensity of city carbon emissions by 1,155, 395, and 450 tons per million CNY, respectively; (2) There existed lag effects of 7 years for the ETDZ and 3 years for the EIDP; (3) Industrial structure exhibited significant mediating effects, with ETDZ and EIDP reducing city carbon emission intensity by 58 and 56 tons per million CNY, respectively; (4) Strong heterogeneity in the effects was found, arising from the differences in geographical location, resources endowment, and amount of industrial parks; and (5) ETDZ and EIDP reduced the carbon emission intensity of neighboring cities by 174 and 144 tons per million CNY, respectively, while LCIP increased that by 686 tons per million CNY. The major contribution of this study is analyzing the city-level impacts of ETDZ, EIDP, and LCIP, three different types of national industrial park policies with different implementation periods, regional distributions, and policy focuses. This not only fills a gap in the analyses of ETDZ and LCIP policies in this area of research, but also draws analogies and contrasts between the effects of the three different policies. This study suggests that the stability and long-term nature of industrial park policies be maintained and further transformation and upgrading of industrial structure be attained. Additionally, intercity coordination could be introduced or enhanced.

The role of Blockchain technology in ensuring pharmaceutical supply chain integrity and traceability

This review paper explores blockchain technology's transformative role in enhancing pharmaceutical supply chains' integrity and traceability. As the pharmaceutical industry grapples with challenges such as counterfeiting, fraud, and data discrepancies, blockchain emerges as a promising solution, offering a decentralized and immutable ledger that enhances transparency and security. Blockchain addresses critical issues that compromise patient safety and public health by enabling real-time monitoring and providing a single source of truth for all stakeholders. The paper highlights key findings on the benefits of blockchain, including improved traceability, automation through smart contracts, and enhanced collaboration among stakeholders. Additionally, it presents recommendations for pharmaceutical companies, regulators, and technology developers to facilitate the adoption and implementation of blockchain solutions in the pharmaceutical sector. Ultimately, this review underscores the potential of blockchain to revolutionize pharmaceutical supply chains, ensuring the delivery of safe and legitimate medications to consumers. Keywords: Blockchain Technology, Pharmaceutical Supply Chain, Traceability, Counterfeiting, Smart Contracts, Public Health.

ANALISIS IMPLEMENTASI KEBIJAKAN ELECTRONIC FILING SYSTEM PAJAK ORANG PRIBADI APARATUR SIPIL NEGARA PADA DINAS PEKERJAAN UMUM DAN PENATAAN RUANG KOTA DEPOK

Technology Development plays the role in influencing modernization of tax system one of them is e-Filing System. E-Filing is a tax filing system electronically that facilitates taxpayers in submitting Tax Return anytime and anywhere. The objective of this study is to analyze the implementation of policy on individual tax e-Filing, obstacles encountered and efforts undertaken in coping with such obstacles at the Public Work and Spatial Planning Office of Depok. This study used qualitative descriptive research method. Result of this study identified that the implementation of e-Filing has been good enough. Some obstacles which can be overcome with efforts carried out from the implementor and taxpayer.

Corporate Technology for the Implementation of an Automated System: Functional, Technological and Methodological Aspects

The purpose of the study is to form a methodological justification for the pedagogical model of the individual trajectory of professional development of bachelors and masters for the implementation of the stages of creating an automated system based on the principles of continuity and experimental verification of its application in the educational process of the university in accordance with the requirements of IT departments, vendors and employers. It is shown that there is a gap between the socio-economic order for the training of IT specialists with high professional competence in the field of information systems and the insufficient level of targeted formation of their readiness to implement the stages of creating automated systems. In addition, the lack of methods and practical recommendations for the implementation of such systems in the context of maximum preservation of corporate standards and taking into account the requirements of Russian legislation, as well as specialists competent in these matters, determined the feasibility of conducting the study in two aspects - functional-technological and pedagogical.Methods and materials. The key methods are structural-functional and process modeling, interactive methods of organizing the educational process (project method, etc.). The research materials include a functional model for developing a corporate technology for implementing an automated system in the form of a function tree.Results. The results present a model of causes and factors determining the success of the projects for the implementation of the automatization systems. The role of the factor “qualification of the performing team” and the possibilities of the educational environment of the university to influence this factor are considered. The pedagogical aspect of the research problem is determined by the methodological justification for conducting students’ project work within a number of disciplines for training bachelors and masters in the field of “Applied Informatics”. The description of the structure and requirements for students’ projects gives an idea of the level of formed competencies, their consistency with the work functions of specialists in the field of information systems.Conclusion. At this stage of work on the research problem, its dual nature was determined. On the one hand, modern IT projects require their own technologies and management methodologies, which should change from project to project, so it is important to have practical recommendations for the development of corporate technology for the implementation of an automated system. On the other hand, one of the success factors of the project for the implementation of an automated system is the “Project Implementation Team”, its level of qualification. This factor is successfully determined and influenced by educational institutions responsible for training specialists in this field. In this direction, the project method plays a key role. It ensures the development of communication skills, the ability to independently pose a problem and develop a way to solve it together. Methodological aspects and practical results, generalizing the pedagogical model for training bachelors in the field of creating automated systems presented in the paper, as well as the development of corporate technology for the implementation of information systems, were reflected in three electronic multimedia educational publications: “Portfolio of Software Engineering Projects”, “Theory and Practice of IS Implementation”, “Theory and Practice of IS Maintenance”.

Emerging Trends in Labour Arbitration: Technological Advancements and Remote Hearings

In this paper, the author discusses the innovations in labour arbitration with particular emphasis on technological developments and hearings being conducted remotely. Therefore, the research seeks to establish how these innovations are influencing this process and the effects this change has on the resolution of labour related disputes. This paper aims to provide a literature review and to present case studies discussed in relation to recent changes in digital environments, comparing their advantages and disadvantages and considering such aspects as openness, productivity, fairness, or internet literacy. Finally, the potential implications of the present analysis are underlined and a call is made to think about the requirements that should shape policy approaches to remote arbitration on the condition that the technique is efficient and fair. The study’s implications for future research and practice are also presented.

Essential Characteristics for School Administrators in the Digital Age for Thailand

Introduction: It is well known that education and teaching practices are affected by technological developments. The ubiquitous spread of information and communication technologies in recent years has forced educational institutions to undergo a digital transformation so as to keep up with the today’s technological age. Educational activities have become sustainable in virtually all environments and under virtually all conditions, with interactive whiteboards having long since replaced the traditional blackboard in most schools. Changes emerging today include revised job definitions, changing patterns of daily life, and the desire for economic value; together they represent the primary results of this digital transformation. Objective: This study aims to explore the essential characteristic for school administrators in the digital age. Method: This is quantitative approach. The population was educational administrators in Thailand who are responsible for management in educational institutions. This Quantitative Research analyzed the data using Descriptive Statistics, Inference Statistic and Multivariate by IBM SPSS and Structural Equations Modeling (SEM) was analyzed by IBM SPSS AMOS. Results: 1) Government Policy (GP) 2) Performance Attribute (PA) and 3) Competent Innovation directly influence on Perceived Value. Moreover, Perceived Value directly influences on Performance Identification. Analysis of the SEM model was found to be accurate because the model is consistent with empirical data, harmonization index passed all criteria, Chi-Square = 173.53, df = 88 RMSEA = 0.04 and RMR = 0.03, index GIF = 0.96 and AGIF = 0.94 and R2/ df = 1.97. Conclusion: These findings can be used to develop academic fields such as research and strategic planning effectively and can be applied in educational industry as well, so making the product feature that meets the needs of the customer will result in the perception of the value of the product and making a purchase decision. This finding has benefits on human resources development and school management and school administrators as well.

Digital Communication in work and family life in Europe

ABSTRACT This special issue brings together innovative research on the use and implications of digital communication in work and family life. It examines the context dependence of the use of digital communication and the consequences for work-family integration and conflict in a comparative design. It also broadens the perspective to new technological developments. The editorial gives an overview of the existing literature and presents the main findings of the articles in this special issue. It also provides initial descriptive information on digital communication with children, parents, line managers and colleagues, based on the initiated module on ‘Digital Social Contacts in Work and Family Life’ in the European Social Survey Round 10. There are apparent differences across European countries, social groups (age, gender, migration background, class) and with respect to the inclusion in the labor market (in paid employment, working from home, occupational status). Overall, the special issue demonstrates that digital communication in work and family life is interrelated, is inherent to gendered strategies to combine work and family, and is also a matter of digital skills, emotional and physical closeness and the institutional context. Work-family conflict enhancing implications are identified but do not seem to be an indispensable attribute.

Phase Behavior and Atomic Dynamics in Rb x Na1-x : Insights from Machine Learning Interatomic Potentials based on Ab Initio Molecular Dynamics

Abstract Liquid alkali metal alloys have garnered significant attention because of their potential applications in coolant systems and batteries, driven by the need for environmental conservation and technological development. However, research on these complex systems is limited, necessitating a deeper understanding to ensure their safe and effective utilization. This study presents a comprehensive investigation of the factors that determine the phase diagram of Rb x Na1-x . By reproducing the experimental results using the thermodynamic integration method and machine learning interatomic potentials based on ab initio molecular dynamics simulations, we uncovered the delicate balance between the energy and entropy contributions that influence the phase stability of these liquid metal alloys. Further analysis of the liquid phase revealed the crucial roles of volume and atomic mass. Additionally, the coordination numbers of the atoms revealed distinct clustering behaviors, where Na atoms tended to avoid proximity to other Na atoms, whereas Rb atoms exhibited a strong tendency to cluster together. Moreover, the diffusion dynamics further illustrated the asymmetry in the behavior of Rb and Na, with Rb showing increased diffusion at higher concentrations and Na exhibiting higher diffusion at lower concentrations. These findings offer significant insights into the phase stability and the dynamic and structural properties of these complex liquid metal alloys.

The Frontier Areas’ Student Acceptance of Physics Fun-based Mobile Application: Incorporating the Process-Oriented Guided-Inquiry Learning (POGIL) Strategy

The acceptability of technology is an essential factor to consider, particularly in frontier areas that encounter challenges related to availability and limited educational resources. This study aims to evaluate the acceptance of physics learning tools in a virtual laboratory (V-Lab) platform, utilizing the POGIL strategy, referred to as the Physics Fun-based mobile application. Mobile learning refers to the learning process carried out through mobile devices such as smartphones. The implementation took place at a senior high school located in West Papua Province, one of Indonesia's frontier areas, with 136 students participating. The Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA) were employed in this quantitative study. Structural Equation Modeling (SEM) was implemented for data analysis. The findings indicated that Attitude (ATT) and Behavioral Intention (BI) were significantly influenced by Perceived Ease of Use (PEU) and Subjective Norm (SN), respectively, while Perceived Usefulness (PU) did not have a direct effect on ATT. As a result, to enhance the acceptance of technology, teachers and technology developers should prioritize enhancing ease of use and reinforcing social factors. This should be done with a particular emphasis on the social benefits and simple accessibility of technology in the learning process, particularly in frontier areas.

Development of a Diamond Composite in the NI-CO-FE3P-SN-WC System Via Free Sintering for Use in Multi-Find Diamond Pearls

Objective: The main objective of this study is to manufacture a diamond composite with a metallic matrix based on Ni-Co-Fe3P-Sn-WC, using the Free Sintering process through cold uniaxial compaction, intended for the production of pearls for diamond wire saws, used in cutting ornamental stones. Theoretical Framework: The multi-wire technology represents an advancement in cutting ornamental stone blocks, allowing the simultaneous production of multiple slabs. Powder metallurgy is the predominant technique used in the manufacturing of pearls for diamond wire saws. Through testing, including scanning electron microscopy (SEM) and shear tests, it is possible to evaluate the alloy's strength, diamond crystal adhesion, and failure behavior of the alloy. Methodology: The adopted methodology involves the processing and characterization of pearls for diamond wire saws, following the techniques of powder metallurgy. Initially, parametric calculations were performed using Excel, providing a basis for subsequent analyses. Diamond-coated pearls were produced with different proportions of constituent elements, and uniaxial compressive strength tests and microstructural characterization were conducted to evaluate the results. Results and Discussion: In the adhesion tests to the metal tube, the pearls produced with the NICOFE alloy showed similar performance to the commercial pearls "A" and "B," with satisfactory direct shear strength values. However, some point defects were observed, such as porosity in the transition zone, creating a weaker bond, negatively impacting the final strength of the composite. Analysis of the commercial samples indicated that diamond abrasion was not related to the composition of the sintered alloy. Research Implications: This research suggests significant economic and technological implications, such as the development and nationalization of technology for the ornamental stone industry. The use of the NICOFE alloy could strengthen the local industry by providing a viable and more accessible alternative for the production of diamond pearls. Originality/Value: The NICOFE blend presents technical advantages for manufacturing diamond wire pearls, highlighting the environmental benefits from reduced cobalt use and economic advantages by offering more accessible materials for the ornamental stone industry.

Pharmacogenetic testing: current state of the issue

Aim. The purpose of this work is to emphasize the importance and practical benefits of pharmacogenetics in medicine, demonstrating how the integration of pharmacogenetics into clinical practice can improve treatment outcomes and enhance the safety of therapies. Pharmacogenetics is a rapidly developing branch of pharmacology that studies how genetic variation affects an individual’s response to drugs. By understanding these genetic differences, healthcare providers can tailor drug therapy to maximize efficacy and minimize adverse drug reactions. The field aims to move away from the traditional one-size-fits-all approach and instead personalize medical treatment based on a person’s genetic makeup. The ability to predict a person’s response to medication based on their genetic profile has profound implications. For example, pharmacogenetic testing can identify patients at risk for life-threatening adverse drug reactions, such as drug-induced liver injury. This proactive approach can prevent adverse events, improving patient safety and the overall quality of care. In addition, pharmacogenetics aids in the development of new drugs by identifying genetic markers associated with drug responses, optimizing the drug development process, and reducing the time and costs associated with bringing new drugs to market. Key advances in pharmacogenetics include the identification of genetic polymorphisms in enzymes, such as cytochrome P450, that affect drug metabolism, thereby influencing both safety and efficacy. Pharmacogenetic testing allows doctors to predict the best drug and dosage for a patient, improving treatment outcomes and reducing the risk of adverse drug events. Despite its potential, the integration of pharmacogenetics into clinical practice faces challenges, including a lack of reliable clinical evidence, inadequate physician education, and the need for a comprehensive health IT infrastructure to support the use of genetic data. Ethical and legal issues, such as patient privacy and the risk of genetic discrimination, also present significant obstacles. However, continued research, the development of genetic testing technologies, and interdisciplinary collaborations are paving the way for more widespread adoption of pharmacogenetics, which promises to significantly improve patient care and healthcare efficiency. Key resources such as PharmGKB, CPIC, and the NIH provide valuable information and guidance for clinicians, researchers, and students, helping bridge the gap between genetics research and clinical application. Conclusions. Pharmacogenetics represents a significant advancement in personalized medicine, offering the potential to tailor drug therapies to individual genetic profiles. Although the field has made substantial progress, challenges remain in the form of insufficient clinical evidence, implementation barriers, and ethical concerns. Continued research and collaboration among stakeholders are essential to fully realize the benefits of pharmacogenetic testing in clinical practice.

Quantification of electrochemically accessible iridium oxide surface area with mercury underpotential deposition.

Research drives development of sustainable electrocatalytic technologies, but efforts are hindered by inconsistent reporting of advances in catalytic performance. Iridium-based oxide catalysts are widely studied for electrocatalytic technologies, particularly for the oxygen evolution reaction (OER) for proton exchange membrane water electrolysis, but insufficient techniques for quantifying electrochemically accessible iridium active sites impede accurate assessment of intrinsic activity improvements. We develop mercury underpotential deposition and stripping as a reversible electrochemical adsorption process to robustly quantify iridium sites and consistently normalize OER performance of benchmark IrOx electrodes to a single intrinsic activity curve, where other commonly used normalization methods cannot. Through rigorous deconvolution of mercury redox and reproportionation reactions, we extract net monolayer deposition and stripping of mercury on iridium sites throughout testing using a rotating ring disk electrode. This technique is a transformative method to standardize OER performance across a wide range of iridium-based materials and quantify electrochemical iridium active sites.

Pressure induced semiconductor-like to metal transition and linear magnetoresistance in Cr2S2.88 single crystal

Abstract The transition metal chalcogenide Cr2S3-x has unique properties, such as a lower antiferromagnetic transition temperature, semiconducting behavior, and thermoelectric properties. We focus on the effects of high pressure on the properties of electrical transport and structure in the single crystal Cr2S2.88. It is observed that the resistance drops abruptly by approximately two orders of magnitude and the temperature derivative of the resistance changes from negative to positive after 15.7 GPa. The Cr2S2.88 crystal has undergone transitions from a semiconductor-like phase to a metal I phase and then to another metal II phase. Simultaneously, a structural phase transition after 16.1 GPa is confirmed by synchrotron angle dispersive X-ray diffraction (AD-XRD). After the structural phase transition, the negative magnetoresistance becomes positive with increasing pressure and shows a linear relationship in the metal II phase. Electron-type carriers dominate in the semiconductor-like phase, but hole-type carriers dominate after the structural phase transition. Our work provides an example of the effective modulation of semiconductor-like properties by pressure, which is meaningful for the innovation and development of semiconductor technology.

Graph-based machine learning model for weight prediction in protein–protein networks

Proteins interact with each other in complex ways to perform significant biological functions. These interactions, known as protein–protein interactions (PPIs), can be depicted as a graph where proteins are nodes and their interactions are edges. The development of high-throughput experimental technologies allows for the generation of numerous data which permits increasing the sophistication of PPI models. However, despite significant progress, current PPI networks remain incomplete. Discovering missing interactions through experimental techniques can be costly, time-consuming, and challenging. Therefore, computational approaches have emerged as valuable tools for predicting missing interactions. In PPI networks, a graph is usually used to model the interactions between proteins. An edge between two proteins indicates a known interaction, while the absence of an edge means the interaction is not known or missed. However, this binary representation overlooks the reliability of known interactions when predicting new ones. To address this challenge, we propose a novel approach for link prediction in weighted protein–protein networks, where interaction weights denote confidence scores. By leveraging data from the yeast Saccharomyces cerevisiae obtained from the STRING database, we introduce a new model that combines similarity-based algorithms and aggregated confidence score weights for accurate link prediction purposes. Our model significantly improves prediction accuracy, surpassing traditional approaches in terms of Mean Absolute Error, Mean Relative Absolute Error, and Root Mean Square Error. Our proposed approach holds the potential for improved accuracy in predicting PPIs, which is crucial for better understanding the underlying biological processes.

Predictive values of cervix length measurement based on transvaginal ultrasonography

BACKGROUND: Pregnancy is an important process in women’s life, which is widely concerned by women. In recent years, the incidence of premature delivery (PTD) becomes more and more higher due to the development of auxiliary reproduction and ovulation induction technologies and the changes of pregnant women’s lifestyle and physical quality. PTD not only affects postpartum recovery and causes great physical pains, but it also has adverse effects on the birth state of neonates and even leads to neonatal death OBJECTIVE: The predictive values of cervix length (CL) measurement based on transvaginal ultrasonography (TVUS) and pathological examination of placenta for premature delivery (PTD) were investigated and the correlation between PTD and infection was analyzed. METHODS: 120 pregnant women with PTD or high-risk factors for PTD admitted to The Affiliated Hospital of Southwest Medical University between February 2020 and March 2022 were included as the subjects and underwent pathological examination of placenta and TVUS for CL measurement. The final gestational age was set as the standard for the evaluation on the predictive values of pathological examination of placenta and TVUS. What’s more, 36 subjects in PTD group and 84 in normal delivery group (control group) underwent pathological examination of placenta for the analysis of the correlation between PTD and infection. RESULTS: The joint inspection method showed significantly better sensitivity, specificity, PPV, and NPV compared to single CL or pathological examination of the placenta (P< 0.05). Among pregnant women, those with CL ⩽ 30 mm and positive placental pathology had a higher proportion compared to those with CL > 30 mm and negative placental pathology (P< 0.05). Furthermore, the incidence of Ureaplasma Urealyticum (UU), Chlamydia Trachomatis (CT), and Chorioamnionitis (CA) in vaginal discharge of the preterm delivery (PTD) group was significantly higher than that of the control group (P< 0.05). CONCLUSION: The combination of CL ⩽ 30 mm and positive placental pathology could effectively predict PTD and placental infection was notably correlated with the occurrence of PTD.

A Comprehensive Systematic Scoping Review of Self-Driving Vehicle Models

Self-driving vehicles (SDVs), also known as autonomous vehicles (AVs), are anticipated to revolutionize transportation by operating independently through the integration of machine learning algorithms, advanced processing units, and sensor networks. Numerous organizations globally are actively developing SDV models, prompting this paper’s objective to identify emerging trends and patterns in SDV development through a comprehensive systematic scoping review (SSR). This research involved selecting 85 relevant studies from an initial set of 551 records across multiple academic databases, utilizing well-defined inclusion and exclusion criteria along with snowballing techniques to ensure a thorough analysis. The findings emphasize critical technical specifications required for both full-scale and miniature SDV models, focusing on key software and hardware architectures, essential sensors, and primary suppliers. Additionally, the analysis explores publication trends, including publisher and venue distribution, authors’ affiliations, and the most active countries in SDV research. This work aims to guide researchers in designing their SDV models by identifying key challenges and exploring opportunities likely to shape future research and development in autonomous vehicle technology.

The Impact of Feed Management Technologies on Mineral Oil Hydrocarbons (MOH) Contamination: A Comparative Farm Level Approach

Legislative frameworks about contamination are often limited to foods and underestimate the role of animal nutrition for safe production. This study aims to assess mineral oil hydrocarbon (MOH) contamination in feed and identify the technological factors that are contributing to this issue, particularly focused on mechanised harvesting and processing. Three dairy farms, classified by contamination risk (low, medium, and high), were selected, and fifteen feed samples were analysed using the coupled liquid chromatography–gas chromatography–flame ionisation detection (LC–GC–FID) method, with a microwave-assisted saponification (MAS) step to determine mineral oil saturated (MOSH) and aromatic (MOAH) hydrocarbon levels. Important contamination levels were observed depending on the technological development of each farm. MOSH levels ranged from 11.4 mg/kg to 81.40 mg/kg, while MOAH levels ranged from 0.5 mg/kg to 4.6 mg/kg. MOAH accounted for 4.74% of the total MOH content. The results showed a connection between feed production technologies and MOH contamination levels. Factors such as the mechanisation, the machinery used, and the storage conditions were potentially contributors to contamination, while chemical treatments had no direct impact but some potential risks. The contamination levels varied across farms, indicating certain contamination sources beyond technological factors. Advanced technological measures and proper equipment maintenance are suggested to mitigate MOH contamination risks in feed.

FEATURES OF THERMAL STABILISATION OF FLAX-CONTAINING “STRETCH” FABRICS

The analysis showed that achieving 15…30 % elasticity requires an input of textured yarns of about 40 %, while the same effect can be achieved by inputting 2…4 % elastane yarns. This makes it possible to produce stretch fabrics consisting of 96…98 % natural fibres. It is shown that the two-winding technology of joining elastane yarns with flax yarns allows the process to be carried out at a speed of at least 200 metres per minute. The article presents a laboratory technique for determining the process parameters for thermal stabilisation of flax-containing stretch fabrics to ensure a given elastic elongation of the fabric in the transverse direction. The possibility of producing stretch fabrics with a natural fibre content of at least 96 % is shown. The modes of fabric heat treatment to obtain elastic elongation from 12 to 36 % are given. The presented technique can be recommended for use in production conditions at the initial stage of industrial technology development.