Implementation Of Advanced Technologies Research Articles

Steering through Regulatory Currents: The Journey of India’s Pharma Industry with the USFDA

Introduction and Objective: India's pharmaceutical industry faces challenges in meeting USFDA quality standards, impacting exports and reputation. This review examines the causes of non-compliance and proposes strategies to enhance compliance, predicting fu-ture trends. Methods: This study conducts an analysis of USFDA warning letters to Indian manufacturers, an assessment of non-compliance issues, and an exploration of technological advancements in compliance, such as automation and AI. Results: The study reveals a rise in non-compliance incidents, emphasizing the need for a ro-bust quality culture, updated regulatory knowledge, and implementation of advanced technol-ogies to improve compliance. Conclusion: To maintain global competitiveness, India's pharma industry must adopt compre-hensive strategies, leverage technology, and prepare proactively for regulatory changes. Future compliance will rely on remote auditing and real-time monitoring.

Modern methods for controlling and regulating impurities in pharmaceuticals

The article is dedicated to modern principles of regulation and control of impurities in pharmaceutical products and active pharmaceutical substances, which is a crucial task for the pharmaceutical industry. The relevance of this research stems from the fact that the presence of impurities in pharmaceutical products can significantly affect their safety and efficacy, making the development of stringent control methods throughout the entire life cycle of a pharmaceutical product essential. Even small amounts of impurities can cause adverse effects or reduce the therapeutic value of drugs, as evidenced by historical examples. The aim of the study is to analyze and systematize contemporary approaches to the detection and regulation of impurities in pharmaceutical products. The paper reviews current regulatory requirements, including guidelines from the The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) and regulatory documents of the Eurasian Economic Community, as well as national pharmacopeias of the Russian Federation, the United States of America, and the European Union. Conclusion. Additionally, the article emphasizes the need for harmonization of standards and practices for impurity control, which is especially relevant in the context of the globalization of the pharmaceutical market. Harmonization not only enhances the safety and efficacy of pharmaceutical products but also improves patients' quality of life by reducing the risk of adverse effects associated with impurities. The article also explores prospects for further improvement of regulatory acts and the implementation of advanced technologies aimed at enhancing standardization and quality control in the pharmaceutical industry.

Effectiveness of Risk Management Strategies in Mitigating Supply Chain Disruptions in South Africa

Purpose: The aim of the study was to examine the effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa has proven to be critical in maintaining operational stability and ensuring business continuity. In an environment characterized by frequent economic, political, and environmental challenges, robust risk management strategies have become indispensable for South African businesses. These strategies, including risk assessment, diversification of suppliers, implementation of advanced technologies, and development of contingency plans, have significantly enhanced the resilience of supply chains. By systematically identifying and evaluating potential risks, businesses have been able to proactively address vulnerabilities and reduce the impact of disruptions. The use of advanced technologies, such as predictive analytics, real-time monitoring systems, and blockchain, has further strengthened risk management efforts. These technologies provide valuable insights into supply chain dynamics, enable early detection of potential disruptions, and facilitate rapid response measures. As a result, businesses can maintain smoother operations and minimize downtime during unforeseen events. Unique Contribution to Theory, Practice and Policy: Resilience Theory, Resource-Based View (RBV) & Contingency Theory may be used to anchor future studies on effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa. Encourage the adoption of advanced technologies such as Internet of Things (IoT), artificial intelligence (AI), and blockchain for real-time monitoring and supply chain visibility. Practical implementation of these technologies can enhance early detection of disruptions and facilitate rapid response strategies. Foster closer collaboration with suppliers to co-develop robust contingency plans and risk-sharing mechanisms. Practices such as dual sourcing, supplier diversification, and joint risk assessments can build resilience across the supply chain network. Advocate for policies that incentivize resilience-building practices within supply chains. This could include tax incentives for investments in resilient infrastructure, as well as mandatory reporting on supply chain risk management practices to enhance transparency and accountability.

Application of artificial intelligence in retail

In the context of the contemporary Industry 4.0 concept, artificial intelligence (AI) has become an integral component of human lifeʼs success, the impact of which is increa­singly difficult to overestimate today. With the advent of AI, the everyday life of individuals has noticeably transformed. Neural networks are capable of working in an algorithmic way, adapt, learn, and even generate new inven­tions within a short span of time. Since the concept of AI appeared, fervent debates have revolved around its advantages and opportu­nities for modern society, ethical frameworks of application, risks, and the negative impact of AI on various professional spheres. However, the revolutionary changes brought about by AI, enabling individuals to delegate routine tasks and freeing up time for creative endeavors, remain indisputable. Despite the high significance of previously conducted research, the state and potential opportunities of industrial application of AI remain insufficiently explored. The purpose of the study is to determine the current trends in the development of artificial intelligence, to assess the actual state of use and to justify recommendations for the future use of AI systems in the retail sector. It has been deter­mined that the introduction of AI technologies is a modern global trend and one of Ukraineʼs priorities. It has been proven that the complex realities of domestic retail development unveil opportunities for digital transformation and the intensification of AI implementation. The current state of AI development has been examined: the leading countries in artificial intelligence implementation have been identified, and the retail sector has been ranked fourth among industries with high potential for the application of advanced technologies. To gain an understanding of AI development in retail, a survey was conducted, the results of which delineated business processes where AI techno­logies are actually applied and specified the goals of their application. The priority opera­tional processes of retail enterprises for the implementation of advanced technologies have been identified and ranked by the significance of AI systems, which are most relevant to modern retail. A list of AI systems has been sorted according to their purpose and functional capa­bilities in retail.

Climate Change and Cultural Heritage: A Global Mapping of the UNESCO Thematic Indicators in Conjunction with Advanced Technologies for Cultural Sustainability

This study investigates the relationship between cultural heritage and climate change, assessing the global implementation of advanced technologies in line with UNESCO’s Thematic Indicators for Cultural Sustainability. Few studies have been conducted on this topic; hence, theoretical background examines the keywords related to cultural heritage preservation, conservation, restoration, climate change mitigation, and adaptation, as well as the intersection of culture and climate change. It also analyses the definitions provided by leading global organizations and explores the use of advanced technologies in protecting cultural heritage. The research methodology is based on an analytical method consisting of a bibliometric assessment and a scientometric assessment. The bibliometric and scientometric analyses map occurrences, frequencies, and intercorrelations of these keywords with UNESCO Thematic Indicators and advanced technology utilization. The findings reveal a predominance of conservation-related Thematic Indicators, suggesting a conservative approach to cultural sustainability, particularly for environmental resilience, wealth, and livelihoods. In terms of advanced technologies, laser scanning and photogrammetry are used for both conservation and restoration purposes, while chromatography and virtual tours are mainly applied to conservation and preservation practices. Otherwise, infrared thermography, X-ray imaging, and online platforms are used, respectively, for heritage preservation, restoration, and conservation. On the other hand, ground-penetrating radar and remote sensing exhibit fewer connections to heritage protection. The mapping of culture and climate change also highlights the importance of conservation in responding to changing climate conditions. Climate adaptation is closely linked to both conservation and preservation efforts, highlighting the critical role of cultural heritage in fostering climate resilience.

Exploring Data Analytics in Attendance Systems: Unveiling Machine Learning Techniques, Patterns, Practices, and Emerging Trends

Purpose: The research aims to identify patterns and trends in attendance management through the application of reward and punishment systems as innovative solutions for improving employee attendance and well-being. Methods: This research utilizes a descriptive analysis approach with the application of Machine Learning (ML) techniques to enhance the accuracy of attendance pattern prediction and ML models for the classification of emerging trends and patterns. Research data were obtained through the company's attendance system and divided into two segments (80% for training and 20% for testing) while maintaining a balanced class proportion, then processed using SPSS and Python software with the Scikit-learn library. Result: The results of the study show that employee attendance is increased from 86.52% to 90.44% when the reward and punishment method is applied to the employee attendance system. Proper reward allocation can increase employee motivation to adhere to work schedules and consistently attend, while punishment tends to lead to lower attendance rates. Novelty: This research emphasizes the optimization of attendance management through data analytics approaches and the implementation of advanced technology in attendance systems with the application of ML techniques to analyze attendance data comprehensively and detect significant patterns.

Weaving Futures: Enhancing Learning and Innovation Capabilities of Rural Women in the MSME Textile Sector

Purpose: Industrialization has led to centralized development, urbanization, migration and concentration of people in selected areas, that is, cities. The current model of development is not a sustainable one. While progress has been made through this model, it has also increased social inequalities, damaged health and caused irreversible depletion of the natural environment. The need of the hour is to create a new model of development to achieve sustainable development across rural and semi-urban regions. Objective: The objective of the new development model is to find out the relation between learning and innovation capability on the customer-based performance of a textile-based micro, small and medium enterprise (MSME). The research questions that will be answered are how rural women working in textile MSMEs can improve their learning and innovation capabilities? What is the impact of learning and innovation capabilities on the customer-based performance of the MSMEs? Methodology: The research method used for this study was based on primary data collected from the stakeholders of rural textile-based MSMEs and secondary data. Findings and Suggestions: The paper suggests that localized micro-factories enable people to stay close to their roots. The need of the hour is to train people with the required skill sets. The learning and innovation capability of the MSMEs reflects on their customer-based performance. The implementation of advanced technology will make localized micro-factories profitable. These technologies will provide services to citizens efficiently and equitably. The proposed smart cities will have to create more equitable and symbiotic relationships with the surrounding semi-urban and rural areas. The emphasis should be on learning new techniques of production using locally available resources. Once the new techniques have been learned, the company should be able to implement them innovatively to improve its customer experience.

Navigating the future workplace

The integration of artificial intelligence produces a significant transformation in the workplace, which presents obstacles to the performance of intrapreneurs and the productivity of the organisation, in response to disruptive technological developments. The objective of this paper is to examine the correlation between intrapreneurship development and training initiatives and the end result for organisational performance and productivity. By employing a simplified random sampling method and a quantitative research design, this study examines the intricacies of interdepartmental relationships and emphasises the importance of development and training programmes in equipping intrapreneurs to meet the challenges of the fourth industrial revolution. The collected primary data, which was structured using a 5-point Likert scale, were analysed using Statistical Package for the Social Sciences version 26. An intelligent strategy for increasing performance and productivity in order to gain a competitive edge, the study demonstrates that fostering and improving intradepartmental relationships is effective. This finding also indicates that training and development programmes focused on the implementation of advanced technologies significantly enhance the performance of intrapreneurs and the productivity of organisations. In order to adapt to the changing employment environment of the twenty-first century, the results underscore the necessity for organisations to give precedence to technical proficiency while cultivating an environment that promotes inventive thinking, action learning, and progress.

Creating an Innovative Business Model for the Performance of Commercial Dental Clinics

Providing dental care to the population is associated with the active introduction of new technologies, personnel management methods, and business processes. In this sense, dentistry is at the forefront of the development of medicine and other economic sectors. However, the active practical implementation of advanced technologies for the provision of dental services requires personnel to have increased motivation and highly qualified labor, to develop new protocols for patient management, and to use more advanced equipment and materials, while administrative and management personnel should introduce progressive methods of labor motivation and economic and mathematical models of material and moral stimulation. This research aims to create an innovative business model for the development of a commercial dental clinic (CDC) that provides paid dental services. Economic and mathematical modeling and nonlinear programming are aimed at maximizing dentists’ wages, together with financial incentives for the work of administrative and managerial personnel and deductions for the development of a typical commercial dental clinic in Moscow based on the actual volume of dental services and the costs of their provision. With the volume of paid dental services growing by one and a half times, the innovative business model makes it possible to increase clinic income by a factor of 1.66 and dentists’ salaries by a factor of 2.24, raise deductions for labor incentives for administrative and managerial personnel by a factor of 1.66, and increase total profit by a factor of 1.75. During the research, it was possible to ensure early repayment of a loan of 5 million rubles for clinic development in 21 months. Additional research is needed because of the possible variability of the dental market and lending conditions. Doi: 10.28991/HIJ-2024-05-01-05 Full Text: PDF

Evolution of Laboratory Diagnosis of Tuberculosis.

Tuberculosis (TB) is an infectious disease of global public health importance caused by the Mycobacterium tuberculosis complex. Despite advances in diagnosis and treatment, this disease has worsened with the emergence of multidrug-resistant strains of tuberculosis. We aim to present and review the history, progress, and future directions in the diagnosis of tuberculosis by evaluating the current methods of laboratory diagnosis of tuberculosis, with a special emphasis on microscopic examination and cultivation on solid and liquid media, as well as an approach to molecular assays. The microscopic method, although widely used, has its limitations, and the use and evaluation of other techniques are essential for a complete and accurate diagnosis. Bacterial cultures, both in solid and liquid media, are essential methods in the diagnosis of TB. Culture on a solid medium provides specificity and accuracy, while culture on a liquid medium brings rapidity and increased sensitivity. Molecular tests such as LPA and Xpert MTB/RIF have been found to offer significant benefits in the rapid and accurate diagnosis of TB, including drug-resistant forms. These tests allow the identification of resistance mutations and provide essential information for choosing the right treatment. We conclude that combined diagnostic methods, using several techniques and approaches, provide the best result in the laboratory diagnosis of TB. Improving the quality and accessibility of tests, as well as the implementation of advanced technologies, is essential to help improve the sensitivity, efficiency, and accuracy of TB diagnosis.

Mobile Network Operators’ Assessment Based on Drive-Test Campaign in Urban Area for iPerf Scenario

The development of new telecommunication services requires the implementation of advanced technologies and the next generations of networks. Currently, the Long-Term Evolution (LTE) is a widely used standard. On the other hand, more and more mobile network operators (MNOs) are implementing the fifth-generation (5G) New Radio standard in their networks. It allows for increasing throughput, spectral, and energy efficiency and maximizing coverage, while reducing latency. The effectiveness of the introduced changes is measured by assessing the quality of service (QoS) in mobile networks. The paper presents the result evaluation of the QoS measurement campaign carried out using the drive test method in an urban area for four MNOs. We analyze the data transmission scenario, which is the basis of most modern telecommunications services. The result comparison provides an assessment of the 5G service implementation advancement by MNOs. In this analysis, we consider many QoS metrics (e.g., session time, throughput, and round-trip time) and parameters defining the radio signal quality (i.e., reference signal received power, signal-to-interference-plus-noise ratio). Our work also included searching for relationships between these parameters, using a correlation analysis. It allows for the selection of uncorrelated parameters to assess the quality of network, i.e., MNO evaluation, in terms of the provided QoS.

Integration of advanced technologies to improve the efficiency of gas condensate field development

In the context of constantly growing global energy demand and rapid changes in the energy sector, the study and implementation of advanced technologies in the development of gas condensate fields is of critical importance. The purpose of this study is to investigate methods to increase the efficiency of production and sustainable use of energy resources by optimising the development of gas condensate fields using advanced technologies. The methods used include analytical method, classification, functional method, statistical method, synthesis. Within the framework of this study, the technological aspects of using wells of the Altyguyi gas condensate field were investigated and extensive laboratory and field analyses were conducted aimed at the correct implementation of the double injection method for simultaneous extraction of gas from one reservoir and oil from another, with an emphasis on their contribution to the development of wells through this approach. The paper also considers aspects of operation and technology, including hydrodynamic and thermohydrodynamic studies, when analysing well designs considering compatibility intervals and mining and geological drilling conditions, based on predictive curves of reservoir pressure and rock fracture pressure. As a result of the analyses, studies and calculations, the implementation of the method of intensification of gas condensate field production using the oil and gas approach of dual injection in one well was substantiated. This approach is focused on reducing capital investments and accelerating the development process. The practical significance of this research lies in the development and implementation of innovative technologies to optimise the production processes of gas condensate fields, which contributes to improving the efficiency of hydrocarbon production and promotes the sustainable use of energy resources

Technology Adoption in JSW's Operations

In today's dynamic business landscape, the adoption of cutting-edge technologies plays a pivotal role in enhancing operational efficiency and sustaining competitiveness. This research paper delves into the strategic integration of technology within the operations of JSW, a leading conglomerate with a focus on steel, energy, infrastructure, cement, and more. The study aims to provide an in-depth analysis of how JSW leverages technology to achieve operational specialization, optimize processes, and foster innovation. The research begins with an exploration of the overarching technological landscape in the industry, highlighting key trends and advancements that have influenced JSW's operational strategies. Special attention is given to the adoption of Internet of Things (IoT), Artificial Intelligence (AI), automation, and other relevant technologies that have become integral to modern industrial practices. A comprehensive case study approach is employed to scrutinize specific instances of technology adoption within JSW's operations. The paper investigates the implementation of advanced technologies in areas such as supply chain management, production processes, quality control, and environmental sustainability. Noteworthy examples and best practices are examined to illustrate how JSW strategically integrates technology to optimize efficiency and maintain a competitive edge. Furthermore, the research delves into the challenges faced by JSW in the process of adopting and assimilating new technologies. These challenges encompass factors such as workforce training, integration complexities, and the need for continuous technological upgrades. By addressing these challenges, JSW has not only embraced technological advancements but has also developed a resilient framework for sustainable operations. International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 08 Issue: 01 | January - 2024 SJIF Rating: 8.176 ISSN: 2582-3930 © 2024, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM28290 | Page 2 The impact of technology adoption on key performance indicators (KPIs) is rigorously assessed, including improvements in production output, cost efficiency, quality control, and overall operational agility. The findings of the study shed light on the tangible benefits accrued by JSW through its strategic investment in technology, demonstrating how these advancements contribute to the company's operational specialization. The research also explores the implications of JSW's technology adoption on its workforce, emphasizing the evolution of skill sets and the creation of a technology-centric culture. It investigates how the company invests in employee training programs to ensure a seamless transition to technologically advanced operational processes. This research paper provides valuable insights into the role of technology in JSW's operations specialization, offering a nuanced understanding of the strategic decisions and implementations that have positioned the company as an industry leader. The findings contribute to the broader discourse on technology-driven operational excellence and serve as a foundation for future studies exploring the intersection of technology, industry, and operational specialization. Keywords: JSW,Operations Specialization,Technology Adoption,Strategic Integration,Industrial Technologies,Internet of Things (IoT),Artificial Intelligence (AI),Automation,Production Processes

Building the Future of the Apparel Industry: The Digital Revolution in Enterprise Architecture

Using qualitative methodology, this study investigates the effects that the digital revolution in corporate architecture has had on the apparel industry. In this article, digital technologies, like AI, big data analytics, and the Internet of Things, are the main points of emphasis. They have revolutionized business and operational practices, as well as marketing strategies in the sector. According to the findings of this study, the implementation of advanced technologies significantly contributes to the enhancement of operational efficiency, the introduction of innovative products, and the enhancement of the competitiveness of businesses. The research also highlights the impact that digital transformation has had on sustainability and personalization in the clothing production industry. It demonstrates that adopting an enterprise architecture that is aligned with digital technologies not only increases operational efficiency but also strengthens innovative and competitive capacity. Furthermore, this research acknowledges the significance of ethically responsible and transparent business practices in this digital era, as well as taking into consideration the effects that digital transformation has on society and the environment. The findings of this study provide industry stakeholders with a strategic perspective that can be utilized in the formulation of adaptive business strategies, the exploitation of opportunities, and the facing of challenges in the ever-changing business environment that is associated with the digital era

Platform Operations in the Industry 4.0 Era: Recent Advances and the 3As Framework

In the Industry 4.0 era, implementing advanced technologies to enhance platform operations is crucial. Motivated by the importance of platforms and the wide implementation of Industry 4.0-related advanced technologies, we conduct this study on platform operations. Specifically, the platforms discussed herein are classified into (pure) product selling platforms and service platforms. We identify the platform-related operational issues in four categories: 1) the use of information, 2) operating/manufacturing processes, 3) decision support, and 4) consumer behavior and marketing. Based on the examined real-world practices and reviewed prior studies, we propose the novel “3As” framework to indicate how platforms should “adopt” advanced technologies to “address” operational issues to “achieve” outcomes. In addition, the “3As” framework uncovers possible platform innovations with three extended developments. Finally, we present a future agenda for further studies on the use of advanced technologies in platform operations. This article contributes to the operations and engineering management literature by generating insights regarding the implementation of advanced technologies in platform operations in the Industry 4.0 era.

Внедрение передовых производственных технологий в России и оценка компаниями их влияния на рост производительности труда и эффективность производственного процесса

The urgent need for the transition of the Russian economy to a new technological structure under the influence of the current geopolitical and economic-political situation, as well as the strengthening of import substitution processes, poses the task of a qualitative breakthrough in the introduction of modern processes in industrial production and in the economy as a whole. The gen-eral process of the fourth industrial revolution involves the widespread introduction of robotic, au-tomated systems, and artificial intelligence, linked into single complexes interconnected by commu-nications and cloud storage systems. On the one hand, this process can lead to a massive release of labor resources from traditional blue-collar professions. From another point of view, it creates a large number of new professions to serve new directions and solve new problems. However, the answer to the question of the economic feasibility of introducing such technologies is not clearly positive. And here there can be quite unexpected results when the seemingly obvious benefits from the imple-mentation of certain modern solutions of the sixth technological order for specific organizations or industries are not confirmed. In our work, we use surveys of Russian companies for 2022 to assess the current stage of implementation of production and digital technologies. It has been established that the introduction of modern solutions that lead to the transition to a new technological structure is, in some cases, characterized by a negative effect and lack of improvements in labor productivity. Our observation contradicts the generally accepted idea that automation, digitalization and robotiza-tion will lead to the release of a significant number of workers. Moreover, among the key reasons hindering the implementation of advanced technologies, companies cite the lack of qualified per-sonnel and the inability to hire employees with the required level of knowledge and skills. In other words, we are observing a shortage of highly qualified employees against the backdrop of a rather contradictory effect of innovation in terms of freeing up labor. The introduction of technologies such as artificial intelligence or the Internet of things in most cases is characterized by the absence of a positive impact on the efficiency of internal processes and labor productivity. Our observations lead to the conclusion that there is no prospect of a labor surplus in the labor market due to the ongoing processes of the fourth industrial revolution according to Schwab.

СУЧАСНИЙ РІВЕНЬ ДІДЖИТАЛІЗАЦІЇ БІЗНЕС-ПРОЦЕСІВ АГРОПІДПРИЄМСТВ

In the modern world, where technology is advancing rapidly, the agricultural sector is also undergoing its digital transformation. The development of digital initiatives in the agro-industrial sector not only opens up new opportunities for increasing productivity and efficiency but also presents new challenges. The integration of innovative technologies such as artificial intelligence, the Internet of Things, blockchain, and process automation is changing traditional approaches to agribusiness, offering state-of-the-art methods for data management, production process optimization, and market interaction. Based on the analysis of the current level of digitization of business processes in agricultural enterprises, it is argued that the implementation of innovative technologies contributes to increased operational efficiency, reduced production costs, and increased profitability. It is substantiated that despite significant challenges such as farmers' conservatism and limited internet coverage, active implementation of advanced technologies, including the Internet of Things and artificial intelligence, opens up new opportunities for farmers and contributes to the overall efficiency enhancement of installed equipment. At the same time, it is proven that to realize the full potential of digitization in the agricultural sector, state support is necessary through infrastructure development, legislative regulation, and financial incentives for investment in cutting-edge technologies, which will help reduce the digital divide between large and small agricultural enterprises and ensure a more resilient and productive agricultural sector. The development of digital initiatives in the agricultural sector aims to increase operational efficiency and create digital organizations, leading to lower production costs, increased profitability, and improved overall efficiency of installed equipment. Despite significant investments in IT solutions for agribusiness, challenges such as farmers' conservatism and limited internet coverage need to be overcome to realize the potential of digitization. The active implementation of advanced technologies, including the Internet of Things and artificial intelligence, opens up new opportunities for farmers worldwide, simultaneously requiring them to adapt to digital data management and strengthen cybersecurity.

Bridging artificial intelligence and cognitive ergonomics: a call for synergy

There is considerable potential between the field of artificial intelligence (AI) and cognitive ergonomics. The purpose of this thesis is to support increasing attention to the synergy between artificial intelligence and cognitive ergonomics, as well as the urgent need to explore it in research and practice.Artificial intelligence (AI) has become an integral part of the modern workplace, transforming industries, increasing productivity, and streamlining processes. However, as AI technologies continue to evolve, it is essential to consider the human side of this digital transformation. Ergonomics, the science of designing workspaces and tools that fit the people who use them, is a critical element in ensuring that the integration of artificial intelligence into the workplace increases employee well-being, efficiency, and overall success.
 With its rapid advancements, artificial intelligence is revolutionizing various fields and industries, from healthcare to self-driving vehicles and financial services. While the potential benefits are obvious, the ethical, cognitive, and ergonomic implications are just as important. Cognitive ergonomics is a sub-branch of ergonomics that deals with the design and evaluation of systems and technologies that support human cognitive processes such as perception, attention, memory, and decision-making. The field of cognitive ergonomics, which primarily focuses on Optimizing human-system interaction is the key to ensuring that artificial intelligence systems are designed and implemented in a way that aligns with human capacities, abilities, and cognitive limitations . Current AI implementations typically adopt a technology-driven focus, and employees are expected to adapt to the technology. In this technology-driven focus, the performance, performance, and accuracy of AI are optimized, but these aspects are considered separately. This point of view raises various critical considerations that are often neglected in the design and implementation of advanced technologies and sometimes have disastrous consequences. From the point of view of ergonomics, the design of artificial intelligence should be transferred from a technology-oriented focus to a systemic and human perspective. By applying a focus on personnel, artificial intelligence should be meaningfully and safely designed and integrated into work processes with the aim of optimizing overall system performance and people's well-being.

The Clinical Embryologist: Past, Present and Future Challenges

Embryologist is an essential part of infertility care defined as a highly skilled and well-trained person who can work in teamwork to execute continuous tasks with near-zero error and pay attention to detail with excellent clinical judgment. At the very beginning, embryologist’s routine daily tasks were quite simple including processing the sperm and eggs for natural insemination. Following that, advanced infertility treatment emerged quickly including intracytoplasmic sperm injection (ICSI), vitrification-warming, embryo shipping, intracytoplasmic morphologically sperm injection (IMSI), as well as trophectoderm biopsy as a source of chromosomal copy number testing or monogenic disorders analysis. Collectively, the implementation of such improved treatments renders complexity in the IVF laboratory that could be simplified in the future. Apparently, the implementation of advanced technology in the field of IVF nowadays has two main purposes. The first is to improve the IVF success rate including finding precise markers for embryo selection such as genomics, proteomics, and metabolomics fingerprint and images-based artificial intelligence algorithm for embryo selection. The second is to standardize or simplify routine daily tasks in the embryology laboratory by implementing automated software such as for laboratory quality control maintenance, a microfluidic system that allows standardization of handling gametes, micro-robotic for immobilizing sperm for ICSI, fully automated semen analysis, electronic tagging of laboratory devices to improve traceability. All such automated systems will serve as advanced clinical decision tools to boost IVF success rate and infertility care quality. An elevated automated system in the future in an embryology laboratory would impact the clinical embryologist in terms of reduced quantity and conversely, increased qualities of highly scientific embryologists with proper education. Embryologist roles may change from conventional routine daily tasks to well-trained and experienced embryologists who are able to scientifically evaluate the effectiveness of certain approaches or potential clinical use of such implementation in their clinical laboratory setting.

Implementation of Advanced Technology in Students Regular Curriculum

Sporting technologies are man-made means developed to reach human interests or goals in or relating to a particular sport Technology in students curriculum is a technical means by which athletes attempt to improve their training and competitive surroundings in order to enhance their overall athletic performance. It is the knowledge and application of using specialised equipment and the latest modern technologies to perform tasks more efficiently. The main focus of this paper is to discuss the role of technology in students curriculum and what are these sporting technologies