Development Of Innovative Technologies Research Articles

U.S. Industrial Transformation and the “How” of 21st Century Industrial Strategy

The U.S. policy paradigm has shifted in the first years of the Biden Administration toward a more robust industrial strategy. Over the next decade, trillions of public and private-sector dollars will be invested in technologies and industries deemed critical to national and economic security. This sets the U.S. on a new trajectory, one that accelerates the development and growth of innovative technologies and key industries while also attempting to rebuild U.S. manufacturing capabilities and the middle class more broadly. This shift in U.S. policy is generating significant debate about the merits of industrial policies and their efficacy. This paper outlines the promises and pitfalls of industrial strategy and the key provisions in the three pieces of recent legislation including “guardrails” and “conditionalities” that are meant to put the country on a path toward successful implementation. While there has been significant focus on the “what” of the Biden industrial strategy, less attention has been paid to the “how.” This paper reviews the criteria by which to judge the how, the key provisions of the new legislation, and broader challenges and limitations to meeting all of the Biden Administration industrial strategy objectives.

The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy

China’s economy is stepping into a new stage of high-quality development. The shift not only marks the optimization and upgrading of the economic structure, but also reflects the in-depth implementation of the concept of sustainable development. In this context, the development of AI technology is playing an important role in balancing economic growth and ecological protection with its unique advantages. This paper empirically studied the impact of AI development on urban energy efficiency by constructing panel data for 282 prefecture-level cities from 2006 to 2019 and then using the super-efficiency SBM model based on non-expected outputs to evaluate the urban energy efficiency indicators of prefecture-level cities. It was discovered that the development of AI had a key influence on increasing urban energy efficiency and the optimization of the energy structure by speeding up green technology innovation and digital economy development, which in turn improved urban energy efficiency. In terms of heterogeneity analysis, AI development had a greater impact on urban energy efficiency in the eastern region, which has higher levels of human capital, financial independence, and government intervention. This study combined the smart city pilot policy with a multi-period DID model, based on the treatment of endogeneity issues, in order to perform a parallel trend test and investigate further the effects of policy implementation on the advancement of AI in the context of improving urban energy efficiency. Accordingly, to achieve green and sustainable urban development, the relevant government departments should increase funding for AI research and development, pay attention to the introduction and cultivation of professionals, establish a platform for international exchanges and cooperation between AI and energy management, and continue to advocate for the pilot development of smart cities to increase urban energy efficiency.

Green finance, green development and decarbonization of the energy consumption structure.

Energy plays a crucial role in global economic development, but it also contributes significantly to CO2 emissions. China has proposed a "dual-carbon" goal, and a key aspect to achieving this objective is finding effective ways to promote the decarbonization of the energy consumption structure (DECS). Compared with traditional finance, green finance is pivotal in advancing green and low-carbon development. However, the mechanism through which green finance impacts DECS has not been thoroughly explored. This study employs an enhanced weighted multi-dimensional vector angle method, which is more systematic and scientific, to measure DECS. Then, dynamic panel data from 30 provinces in China spanning the years 2003 to 2020 are used. A double fixed-effects model is applied to investigate the impact of green finance on the DECS and identify potential pathways. Results reveal that green finance significantly enhances DECS, primarily by reinforcing green development. The critical impact pathway involves the promotion of green technology innovation and green industry development. Moreover, the enhancing effect of green finance on the DECS is considerably significant in regions with relatively low government spending on science and technology (S&T), and where the focus is not on the "Atmospheric Ten" policy. The measurement of DECS is innovative, and the conclusions derived from it can offer compelling evidence for various social stakeholders. The government has the opportunity to establish a green financial system, supporting green technological innovation and the development of green industries. This approach can accelerate the DECS and work toward achieving the "double carbon" goal at an earlier date.

ПЕРСПЕКТИВИ ВИКОРИСТАННЯ ВБУДОВАНИХ ФІНАНСІВ : ІННОВАЦІЇ FINTECH ЛАНДШАФТУ

Formulation of the problem. Noting the rapid development of innovative technologies in the financial sphere, especially in the context of FinTech, today embedded finance is becoming an increasingly important element of the financial ecosystem. Given the diversity and depth of embedded finance's impact on the financial landscape, the challenge lies in understanding the potential of these tools and determining their prospects in the context of innovative FinTech development. The purpose of the study is to analyze the technological, economic and regulatory aspects of the use of embedded finance, as well as to identify their impact on the financial landscape and innovative strategies in FinTech. This research aims to deepen understanding of the potential of these innovative tools and to contribute to the development of the modern financial sector. The object of research is technological platforms, tools and services based on embedded finance, as well as their impact on the economy, business models and the regulatory environment. Scientific publications and monographic editions, magazine articles and materials of scientific and practical conferences became the methodological basis of the research. During the research, content analysis of scientific periodicals was used; comparative critical analysis of existing approaches and methods of analysis of financial stability and tax burden; statistical methods of analysis. The main hypothesis of the study was the assumption of the possibility of integrated finance to become a key catalyst of changes in the financial sphere, ensuring greater efficiency, accessibility and competitiveness of financial services in the future. Presenting main material. Innovative technologies and platforms based on the concept of embedded finance and their potential to change and transform the financial sphere are highlighted. The technological, economic and regulatory aspects of the use of embedded finance are analyzed, and the key challenges and opportunities associated with their application are identified. As a result of the study, it is established that integrated finance can become a significant factor in accelerating the innovative development of the financial sector, improving the quality of financial services, and ensuring greater accessibility and efficiency in the provision of financial products and services. Originality and practical significance. Investigating the impact of innovative technologies on the financial sector, the article draws attention to the underestimated potential of embedded finance as a critical element for the development of innovative strategies in FinTech. The originality lies in the approach to the analysis of embedded finance as a key catalyst of changes in the financial sphere, which opens up new opportunities for improving the quality of financial services and ensuring greater accessibility for users. The analysis of the challenges facing the implementation of embedded finance is shown and indicates ways to overcome them, which makes it a valuable resource for developers of strategies in the financial sphere and regulatory authorities who seek to stimulate innovation and ensure the stability of the financial system. Conclusions and prospects for further research. The performed analysis confirms the great potential of integrated finance for the transformation of the financial sphere, ensuring greater availability, efficiency and quality of financial services. It was revealed that there are certain challenges on the way to the implementation of embedded finance, in particular, related to the regulatory environment, data security and privacy. These obstacles must be overcome in order to fully realize the potential of embedded finance and ensure the sustainable development of the financial sector. Further research could focus on a detailed study of specific aspects of the use of embedded finance, such as their impact on financial inclusion, financial system stability, and the effectiveness of regulatory oversight. In addition, the possibilities of using embedded finance in specific industries such as international payments, micro-finance and investment management can be explored. It is also important to explore the relationship between embedded finance and other innovative technologies such as artificial intelligence, blockchain and the Internet of Things.

Professor I.V. Gaivoronsky — an outstanding domestic scientist-anatomist and teacher

On February 2, 2024, the prominent Russian morphologist, head of the department of normal anatomy at the Kirov Military Medical Academy to MD, Dr. Sci. (Med.) Professor Ivan V. Gaivoronsky. Ivan V. was born in the town of Kadievka, Voroshilovgrad region, in 1954.
 On February 2, 2024, a prominent Russian morphologist, Professor Ivan V. Gaivoronsky became the head of the Department of Normal Anatomy at the Kirov Military Medical Academy to Doctor of Medical Sciences. Ivan V. was born in the town of Kadievka in the Voroshilovgrad region in 1954.
 In 1973, after graduating from the Starooskolsky Medical School, he entered the Kirov Military Medical Academy, from which he graduated in 1979 with a gold medal. He then studied in an adjunct course at the Department of Normal Anatomy. After completing his studies and defending his dissertation within the walls of his native alma mater, he worked his way up from a teacher to the head of one of the oldest departments, the Department of Normal Anatomy, which he has headed for 35 years. Professor I.V. Gaivoronsky pays great attention to solving modern scientific problems of morphology: collateral circulation, medical craniology, morphology of a gunshot wound, applied problems according to the needs of surgical practice, study of individual and typical characteristics of the human body, development of innovative technologies for the production and preservation of anatomical preparations for scientific and educational purposes, and improvement of the educational process in the departments of morphological profile and history of anatomy. He created a scientific morphological school, which trained 11 doctors and 63 medical science candidates. Professor I.V. Gaivoronsky is the author of polymer embalming technology, which has radically changed the principle of teaching fundamental medical disciplines. Thanks to the development of numerous innovative areas, numerous scientific studies, and use of the latest equipment in the educational process, the Department of Normal Anatomy of the Kirov Military Medical Academy, under the leadership of Professor I.V. Gaivoronsky, became one of the best methodological and scientific centers in the Russian Federation, dealing with the most pressing problems of modern morphology. For his great contribution to the development of domestic science and the organization of the educational process, Professor I.V. Gaivoronsky was twice awarded the Government of the Russian Federation Prize in the field of education. He was awarded the honorary titles “Honored Scientist of the Russian Federation” and “Honored Worker of the Higher School of the Russian Federation”, Academician of the Russian Military Medical Academy, and Honorary Doctor of the Kirov Military Medical Academy. He was also awarded the Order of Honor and the Medal of the Order for Services to the Fatherland, II degree.

Knowledge spillovers along the sustainable supply chain of China's listed companies: The role of long-term orientation

A new industrial development paradigm, the Fifth Industrial Revolution or ‘Industry 5.0’ is expected to humanise green technological innovation (GTI), social resilience, and sustainable development of industrial ecosystems. Emphasising the supplier-customer interaction, ‘Industry 5.0’ is technological revolution, which is a value-driven initiative that drives knowledge spillovers along the sustainable supply chain (SSC). In this context, enterprises are incorporating more GTI activities into their partners’ SSC strategies. This study employs samples of China's A-share listed companies covering the period from 2010 to 2021 to examine the spillover effects between customers’ GTI and suppliers total factor productivity (TFP). Both GTI and TFP indicators are important representations of ‘Industry 5.0’, with our major concerning on the enhancement of supplier's long-term orientation (LTO). We calculated TFP by the Olley-Pakes and Levinsohn-Petrin methods, dividing GTI indicators into three levels: substantial green technological innovation (SGTI), non-substantial green technological innovation (NGTI), and overall green technological innovation (OGTI). Our empirical results show that 1) Customer's GTI contributes to supplier's TFP, and supplier's LTO including environmental, social & governance (ESG) performance, and R&D input can strengthen this beneficial link; 2) customer's NGTI represents a significant differentiation in comparison with SGTI, where R&D investment weakens the positive relationship between customer's NGTI and supplier's TFP; 3) heterogeneity analysis indicates that the spillovers of customer's GTI on supplier's TFP are more pronounced among state-owned enterprises, high-tech enterprises, and non-polluting enterprises. Notably, the connectedness demonstrates dynamic patterns through 2SLS and GMM regressions, highlighting the importance of enterprises' SSC and LTO being the shock transmitters to their TFP. Our study is prone to benefit lawmakers, regulators, and firm executives responsible for analysing and assessing the SSC, providing more policy implications with future prospects for sustainable transformation in the upcoming ‘Industry 5.0’ era.

Using AFM to measure the elastic modulus of Diamond-Like Carbon thin films

In contemporary technological landscapes, a multitude of applications necessitate the fabrication of structures and mechanisms at exceptionally diminutive scales, prominently within the realm of Nano and Micro-Electro-Mechanical Systems (NEMS and MEMS). The comprehension of mechanical properties inherent in materials tailored for deployment in these applications assumes paramount significance. Consequently, an array of methodologies has been devised with the explicit purpose of delineating material properties at nano or micrometric scales. This report delves into select scholarly contributions aligned with this objective, and specifically, it explores a technique leveraging the capabilities of Atomic Force Microscopy (AFM) for the precise determination of the elastic modulus of Diamond-Like Carbon (DLC) films. The exploration of such methodologies is indispensable for advancing the understanding of material behavior at minute scales and facilitating the development of innovative technologies with enhanced structural integrity and performance characteristics.

A Review on Real Time Patient Health Monitoring System Using Cloud Technology

Abstract: The rising demand for advanced healthcare solutions has driven the development of innovative technologies aimed at improving patient care. This project introduces a Real-Time Patient Health Monitoring System, which utilizes cloud technology to its full potential. By incorporating cloud infrastructure, data science, and real-time analytics, the system offers continuous monitoring and analysis of crucial health metrics such as SpO2, temperature, and pulse rate. Designed with wearability in mind, the system's architecture ensures uninterrupted monitoring and instant feedback for both patients and healthcare professionals. Cloud technology enables seamless data storage, retrieval, and real-time analysis, thereby providing comprehensive insights into a patient's health status. The project's scalability guarantees its suitability for various healthcare environments, rendering it a versatile tool for hospitals, clinics, and remote healthcare scenarios.

Paving the way for sustainable environment in BRICS through technological innovation, sustainable energy, and financial development: heterogenous analyses

ABSTRACT The pervasive issue of global warming has propelled the continued empirical efforts by policymakers and research pundits geared towards finding sustainable solutions to salvaging the ecosystem. Consequently, this study evaluates the heterogenous impacts of technological innovation, sustainable energy, and financial development on environmental sustainability captured by CO2 emissions, methane emissions, and nitrous oxide emissions in the BRICS countries from 1995 to 2020. The study employs second-generation estimators comprising quantile regression (QR), augmented mean (AMG), common correlation effect group mean (CCEMG), and cross-sectional ARDL (CS-ARDL). The main findings show that among the indicators of technological innovation, high technology exports, ICT goods exports, and ICT services exports drive sustainable environment in the long run whereas environmental-related technology promotes both in the short run and long run. The moderating impacts of sustainable energy are evident through wind energy, solar energy, and hydrogen technology. Conversely, financial development measured by broad money and domestic credits to private sector hinders environmental sustainability. More so, the covariates entailing economic growth, population growth, poverty, and trade openness escalate the stock of pollutants. The empirical regularity of the main estimators is supported by outcomes of QR across the low, middle, and upper quantiles. On the policy front, the study recommends promoting initiatives that drive technology and renewable energy to enhance the sustainability of the BRICS’ environment.

Advancing wastewater treatment technologies: The role of chemical engineering simulations in environmental sustainability

Wastewater treatment stands as a critical component in mitigating environmental pollution and safeguarding public health. This review delves into the pivotal role of chemical engineering simulations in advancing wastewater treatment technologies towards enhanced environmental sustainability. The modernization of wastewater treatment processes necessitates a comprehensive understanding of the complex physical, chemical, and biological interactions involved. Chemical engineering simulations offer a powerful toolset for modeling and optimizing these processes with a focus on efficiency, effectiveness, and sustainability. Firstly, simulations enable the prediction and analysis of pollutant removal mechanisms within treatment systems. By simulating various operating conditions and configurations, engineers can optimize treatment processes to achieve higher removal efficiencies while minimizing resource consumption and waste generation. Secondly, simulations aid in the design and development of innovative treatment technologies, such as membrane filtration, advanced oxidation processes, and biological nutrient removal systems. Through computational modeling, engineers can assess the performance and feasibility of these technologies under different scenarios, facilitating informed decision-making and accelerating their implementation. Furthermore, chemical engineering simulations play a crucial role in addressing emerging challenges in wastewater treatment, including the removal of emerging contaminants such as pharmaceuticals, microplastics, and endocrine-disrupting chemicals. By simulating the behavior of these contaminants within treatment systems, engineers can devise targeted strategies for their removal, thus mitigating their adverse environmental and public health impacts. Chemical engineering simulations serve as indispensable tools for advancing wastewater treatment technologies towards greater environmental sustainability. By facilitating the optimization, design, and innovation of treatment processes, simulations contribute to the development of more efficient, cost-effective, and environmentally friendly solutions for managing wastewater and protecting our ecosystems. Embracing these simulation-driven approaches is essential for achieving the ambitious goals of sustainable development and ensuring a cleaner, healthier future for generations to come.

Towards green evolution in urban Egypt: assessing Al Rehab City through LEED-ND and BREEAM-communities frameworks

AbstractThis article provides a comprehensive analysis of the application of green neighborhood rating systems, specifically Leadership in Energy and Environmental Design-Neighborhood Development (LEED-ND) and Building Research Foundation Environmental Assessment Method (BREEAM)-Communities, in the context of Cairo, Egypt, focusing on Al Rehab City, a prominent urban area in New Cairo. The study begins by providing a background on Al-Rehab City, explaining its strategic planning, urban design, and demographic dynamics. It then delves into the current state of sustainable urban planning in Egypt, highlighting the challenges and opportunities that exist in this rapidly urbanizing context. The core of the article includes a comparative analysis of LEED-ND and BREEAM communities, assessing their adaptability and relevance to the Egyptian urban landscape, especially Al Rehab City. It explores many sustainability issues such as smart location, neighborhood pattern and design, green infrastructure, sustainable transportation, energy efficiency, water conservation, waste management, and community engagement. The discussion extends to examine how each of these aspects of sustainability applies to Al Rehab City, complemented by case studies and examples of current sustainable practices in Cairo. Furthermore, the article identifies specific local challenges in implementing these assessment systems, such as economic constraints, policy constraints, and cultural factors. It also suggests opportunities for improvement, including the potential for public–private partnerships, policy reforms, community engagement, technological innovation, and sustainable urban development modeling. In conclusion, the article provides insight into the future prospects of green urban planning in Cairo. The potential impact of adopting comprehensive assessment systems is discussed, with an emphasis on the role of Al Rehab City as a potential model for sustainable urban development in Egypt and the wider MENA region. The article aims to contribute to the discourse on sustainable urban planning, and provide a roadmap for integrating global sustainability standards into the unique context of Egyptian cities.

Biomass Combustion in Boiler: Environmental Monitoring of Sugar Markers and Pollutants

The need to use renewable sources and matrices with energy potential is widely recognized. The development of innovative technologies aimed at the improvement of energy conversion processes and reducing environmental impacts is currently receiving increasing attention from the scientific community and policymakers. The presence of sugars in airborne particle materials is attributed to biomass combustion. For this reason, these compounds are considered markers of biomass burning. The purpose of this work was to evaluate the emissions produced by agroforestry biomass burning (citrus pruning) by simultaneously sampling both stack emissions and atmospheric particulates in the area around a biomass boiler to understand the real contribution of biomass burning to atmospheric pollution. The combustion tests were carried out by comparing the processes with and without particulate abatement system to see how biomass combustion’s contribution to particulate emission can be controlled and reduced. During the tests, the focus was on particulate matter (PM) speciation in terms of sugar marker identification and determination. This study aims to increase knowledge to better understand the contribution of biomass plants to air pollution and differentiate it from the contributions of other sources, such as vehicular traffic or domestic heating.

Antifreeze protein-based ultrastretchable and highly sensitive hydrogel for human-machine interaction

Intelligent and convenient human–computer interfaces realize efficient and close cooperation between people and the digital world. As windows of human–machine interaction (HMI), sensors directly determine the ability and quality of acquired signals and the utilization potential of HMI systems. However, it still remains challenging to develop antifreeze hydrogel sensors with freeze-resistant properties while avoiding the loss of other properties as much as possible to achieve stable HMI applications in low-temperature environments. Here, we present an Agar/PAAm dual-network hydrogel (Na+-Agar/PAAm-AFP) doped with both antifreeze protein (AFP) and sodium chloride (NaCl), which exhibits excellent antifreeze capability (−20 °C). The hydrogel integrates transparency (>90%), ultra stretchability (up to 2100%), good adhesion properties to metal, glass, and plastic, high electrical conductivity (3.41 S m−1), high sensitivity (GF = 10.23), and non-irritating to the skin. The hydrogel can be used for monitoring daily activities and glove-based HMI systems for intelligent control. In addition, based on this hydrogel, we have successfully developed an interactive system for real-time information transfer over long distances. It is expected to provide better health management monitoring in several fields and also help to advance the development of innovative and IoT technologies.

The driving effect of technological innovation on green development: From the perspective of efficiency

Green development is considered to be an effective way to achieve win-win between economy and environment, and technological innovation is the core driving force of green transformation development. High-tech industries are the core industries of industrial technology and economic development, and their technological innovation ability and green development level are important supports for optimizing the national industrial structure and promoting the green transformation of industries. Therefore, based on the concept of innovation and green development, this paper analyzes the industrial development rule from the perspective of the interaction mechanism between technological innovation and green development, to provide theoretical reference for the design of corresponding development strategies and planning. Hence, NSBM model is constructed to evaluate the efficiency of multi-stage technology innovation and deconstruct the evolution law of technology innovation value chain of high-tech industry. Secondly, GML model is used to evaluate green total factor productivity and clarify the green and high-quality development status of high-tech industry. Finally, the truncated regression model is constructed to analyze the factors affecting the external environment of green transformation development. The results indicate that the upgrading of technology innovation value chain is conducive to promoting green transformation development.

Photoinduced charge generation of nanostructured carbon derived from human hair biowaste for performance enhancement in polyvinylidene fluoride based triboelectric nanogenerator

Carbon nanostructures derived from human hair biowaste are incorporated into polyvinylidene fluoride (PVDF) polymer to enhance the energy conversion performance of a triboelectric nanogenerator (TENG). The PVDF filled with activated carbon nanomaterial from human hair (AC-HH) exhibits improved surface charge density and photoinduced charge generation. These remarkable properties are attributed to the presence of graphene-like nanostructures in AC-HH, contributing to the augmented performance of PVDF@AC-HH TENG. The correlation of surface morphologies, surface charge potential, charge capacitance properties, and TENG electrical output of the PVDF composites at various AC-HH loading is studied and discussed. Applications of the PVDF@AC-HH TENG as a power source for micro/nanoelectronics and a movement sensor for detecting finger gestures are also demonstrated. The photoresponse property of the fabricated TENG is demonstrated and analyzed in-depth. The analysis indicates that the photoinduced charge carriers originate from the conductive reduced graphene oxide (rGO), contributing to the enhanced surface charge density of the PVDF composite film. This research introduces a novel approach to enhancing TENG performance through the utilization of carbon nanostructures derived from human biowaste. The findings of this work are crucial for the development of innovative energy-harvesting technology with multifunctionality, including power generation, motion detection, and photoresponse capabilities.

Technology Transformation, Innovation, and Digital Economy Development in Developing Countries

The COVID-19 pandemic is a gateway for businesses to develop technology and embrace digitalization to remain competitive. Various results stated the important role of innovation and technology transformation as potent weapons for survival in this evolving landscape. This research analyzes the role of technology and innovation, especially in developing countries, with few articles researching this field. A systematic literature review that examined 84 articles from reputable international journals was used, with a particular emphasis on developing countries. This research aimed to conduct a comprehensive analysis of existing literature by using the keywords “technology”, “innovation”, and “digital economy” to identify gaps and generate fresh insights. The articles were collected from ProQuest, Google Scholar, and Scopus search engines and imported into Mendeley software for analysis using VOSviewer. The visualization results showed that SMEs were the most frequently mentioned keyword with 41 occurrences. This research contributed by providing opportunities in the form of new paths and variables rarely used for further analysis. There were also implications for organizational management, both in profit and non-profit organizations, to enhance technological capabilities, thereby improving business efficiency and sustainability.  

Coupled Coordination and Drivers of Green Technology Innovation and Carbon Emission Efficiency

The coupled and coordinated development of green technology innovation and carbon emission efficiency in the Yangtze River Economic Belt is crucial for its realization of green and low-carbon transformation. Based on the panel data of the Yangtze River Economic Belt from 2011 to 2021, the comprehensive evaluation levels of green technological innovation and carbon emission efficiency were measured, and the coupling degree of coordination model and panel Tobit model were constructed to empirically analyze the coupling degree of coordination and driving factors of the two. The results show that, overall, the comprehensive evaluation value of green technology innovation level in the Yangtze River Economic Zone shows an upward trend; the value of carbon emission efficiency first rises and then falls. From the perspective of spatial distribution, both of them present the characteristic of “high in the east and low in the west”. The coupling coordination degree shows a growing trend and initially realizes the basic coordination. The coupling degree of coordination shows a significant negative correlation between the energy structure and the coupling degree of both of them, while urbanization level, environmental regulation, industrial structure, level of economic development, degree of openness, and labor level all show a significant positive correlation.

Microfluidics-Based Technologies for the Assessment of Castration-Resistant Prostate Cancer.

Castration-resistant prostate cancer remains a significant clinical challenge, wherein patients display no response to existing hormone therapies. The standard of care often includes aggressive treatment options using chemotherapy, radiation therapy and various drugs to curb the growth of additional metastases. As such, there is a dire need for the development of innovative technologies for both its diagnosis and its management. Traditionally, scientific exploration of prostate cancer and its treatment options has been heavily reliant on animal models and two-dimensional (2D) in vitro technologies. However, both laboratory tools often fail to recapitulate the dynamic tumor microenvironment, which can lead to discrepancies in drug efficacy and side effects in a clinical setting. In light of the limitations of traditional animal models and 2D in vitro technologies, the emergence of microfluidics as a tool for prostate cancer research shows tremendous promise. Namely, microfluidics-based technologies have emerged as powerful tools for assessing prostate cancer cells, isolating circulating tumor cells, and examining their behaviour using tumor-on-a-chip models. As such, this review aims to highlight recent advancements in microfluidics-based technologies for the assessment of castration-resistant prostate cancer and its potential to advance current understanding and to improve therapeutic outcomes.

ОСНОВНЫЕ ТРЕНДЫ РОСТА РЕГИОНАЛЬНОГО СЕЛЬСКОГО ХОЗЯЙСТВА: ОТ ОБЪЕМОВ К УСТОЙЧИВОСТИ

The strategic task until 2030 for the agro-economic systems of the country and its regions is to increase the average annual growth rate of volumetric indicators of agricultural production to 3%, which is twice as high as the achieved value. To achieve this aim, it is necessary to develop and implement effective mechanisms to smooth out the abrupt growth of production volumes and ensure the sustainable development of agricultural sectors. The development of the agricultural sector of the Republic of Tatarstan shows positive trends in the growth of volumetric indicators of production over the past five years. The volume of gross agricultural output in the region increased with an annual growth rate of 21.62 billion rubles. At the same time, the volume of production growth in the crop and livestock sectors amounted to 11.11 and 10.49 billion rubles, respectively, which demonstrates the uniform development of the two main industries. The growth in volumetric indicators of product production is mainly due to the intensification of production processes, the introduction and development of innovative technologies. Along with this, abnormal weather conditions have a negative impact on the process of sustainable development of agriculture, as evidenced by the results of 2021, when the total production volume was only 80.1% of the previous year’s level, and crop production decreased by 38.7%. The identified trend once again emphasizes the need to search for adaptive methods of farming in accordance with climate change by moving at a more intensive pace to the creation of drought-resistant varieties, the development of moisture-saving technologies and the active implementation of reclamation measures. Livestock farming is developing at a more sustainable pace, although there is a decline in the numbers of certain animal species. However, this process does not affect production volumes due to increased animal productivity. The industry is in the process of gradually replacing low-productive animals with highly productive breeding stock. To transition to sustainable development of agriculture in the republic, it is necessary to continue work on adapting technological processes to climate change, creating and introducing new varieties, developing genetic technologies for animal breeding, using digitalization and robotization of the industry.

Reverse supply chain decisions with online and offline dual recycling channels considering consumer fairness concerns and channel preference

Online recycling is becoming more prevalent as a result of the quick development of innovative technologies to enhance the recycling system. Based on consumer fairness concerns and channel preferences, we establish an online and offline dual-recycling channel reverse supply chain model in which a processor dominates and a recycler follows according to Stackelberg game theory and investigates the impact of two consumer’s behavioral preferences upon supply chain decisions. The results show that: (1) for the game leader, the impact of consumer fairness concerns is greater than that of channel preference; (2) for the game follower, the impact of channel preference is greater than that of consumer fairness concerns; (3) entrusting the recycler to collect can help the leader reduce profit losses caused by consumer fairness concerns.