Development Of Innovative Strategies Research Articles

Cancer cell membrane cloaked fluorescent liposomes loaded with metal-phenolic complex nanoparticles for combinatorial therapy against breast cancer

The development of innovative strategies for effective cancer treatment remains a critical research focus. In this study, we present a novel approach by designing cancer cell membrane-cloaked fluorescent liposomes loaded with metal-phenolic complex nanoparticles for combinatorial therapy against breast cancer. This multifaceted therapeutic system leverages the unique properties of cancer cell membranes, fluorescent liposomes, and metal-phenolic complexes to create a highly targeted and versatile treatment platform. Cancer cell membranes serve as natural camouflage, allowing these nanoparticles to evade the immune system and specifically target breast cancer cells. The inclusion of fluorescent liposomes not only aids in real-time imaging of treatment progress but also enhances the therapeutic effect by providing photodynamic therapy. Metal-phenolic complexes provide a multifunctional payload, offering both thermally assisted cytotoxicity and the ability to modulate cellular pathways critical in cancer progression. The enhanced internalization found in 4T1 cell lines demonstrates the targeted efficiency of our nanosystem. We also observed a significant increase in intracellular reactive oxygen species (ROS), increased cell death, and a significant decrease in colony formation treated with the synthesized nanoparticles. Alteration in mitochondrial membrane potential indicated the onset of cellular apoptosis, which eventually resulted in cell death. The biomimetic CSpFeTA NPs exhibited remarkable deep tumor tissue penetration and apoptotic cell death assisted by NIR irradiation. The development of such a sophisticated nanosystem represents a significant advancement in cancer therapy, opening new avenues for personalized and effective breast cancer treatment.

A Virus-Inspired Inhalable Liponanogel Induces Potent Antitumor Immunity and Regression in Metastatic Lung Tumors.

Pulmonary delivery of immunostimulatory agents such as poly(I:C) to activate double-stranded RNA sensors MDA5 and RIG-I within lung-resident antigen-presenting cells is a potential strategy to enhance antitumor immunity by promoting type I interferon secretion. However, following pulmonary delivery, poly(I:C) suffers from rapid degradation and poor endosomal escape, thus limiting its potency. Inspired by the structure of a virus that utilizes internal viral proteins to tune the loading and cytosolic delivery of viral nucleic acids, we developed a liponanogel (LNG)-based platform to overcome the delivery challenges of poly(I:C). The LNG consisted of an anionic polymer hyaluronic acid-based nanogel core coated by a lipid shell, which served as a protective layer to stabilize the nanogel core in the lungs. The nanogel core was protonated within acidic endosomes to enhance the endosomal membrane permeability and cytosolic delivery of poly(I:C). After pulmonary delivery, LNG-poly(I:C) induced 13.7-fold more IFNβ than poly(I:C) alone and 2-fold more than poly(I:C) loaded in the state-of-art lipid nanoparticles (LNP-poly(I:C)). Moreover, LNG-poly(I:C) induced more potent CD8+ T cell immunity and stronger therapeutic effects than LNP-poly(I:C). The combination of LNG-poly(I:C) and PD-L1 targeting led to regression of established lung metastases. Due to the ease of manufacturing and the high biocompatibility of LNG, pulmonary delivery of LNG may be broadly applicable to the treatment of different lung tumors and may spur the development of innovative strategies for cancer immunotherapy.

Revealing the urban heat Island: Investigating spatiotemporal surface temperature dynamics, modeling, and interactions with controllable and non-controllable factors

The unchecked growth of urban populations has spurred rapid and unsustainable urban expansion, exacerbating environmental degradation both locally and globally. This research offers a comprehensive analysis of the Urban Heat Island (UHI) phenomenon in Bangalore and Hyderabad, India, focusing on its spatial and temporal distribution and its correlation with air pollutants. Conducted over the course of summer and winter seasons from 2001 to 2021, this study advances our understanding of UHI dynamics in rapidly urbanizing regions, shedding light on the complex interplay between urbanization, climate, and air quality. The primary objective of this study is to assess and compare the predictive performance of baseline Random Forest (RF) and Extreme Gradient Boosting (XGBoost) models for forecasting Land Surface Temperature (LST) in Hyderabad, India, while examining the impact of integrating spatial information into these models. Incorporating an extensive array of input variables, ranging from spectral indices to terrain features, land use/land cover (LULC) data, atmospheric parameters, and spatial data, the analysis reveals significant relationships between LST and various factors. Notably, Aerosol Optical Depth (AOD) and Normalized Difference Built-up Index (NDBI) exhibit strong positive correlations with LST, while Enhanced Vegetation Index (EVI) demonstrates a pronounced negative correlation. Similarly, Modified Normalized Difference Water Index (MNDWI) displays the strongest positive correlation with LST (r = 0.49), whereas EVI exhibits the most notable negative correlation (r = −0.67). Additionally, Modified Bare Soil Index (MBI) demonstrates a noteworthy negative correlation (r = −0.48) with LST for Bangalore. Atmospheric components such as CO, NO2, and O3 also show significant positive correlations with LST, with NO2 displaying the highest correlation during winter in urban areas. XGBoost emerges as the superior model, achieving high R2 values of 0.84 for Bangalore and 0.88 for Hyderabad. Integration of spatial information consistently enhances the performance of both RF and XGBoost models, resulting in reduced Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) values. However, predictions over water bodies tend to be underestimated. The study underscores the importance of incorporating spatial data for accurate LST prediction, with implications for environmental monitoring and management. Despite the advancements made, further research is needed to elucidate the specific mechanisms through which spatial information improves model performance, suggesting avenues for future investigation and refinement of modeling methodologies. At the intersection of rapid urban growth and environmental conservation, these findings are poised to inform policymakers, urban planners, and researchers, guiding them towards innovative and sustainable urban development strategies aimed at mitigating the adverse impacts of rapid urban expansion while promoting ecosystem well-being. The study contributes to spatial modeling strategies and refines LST prediction methodologies, offering valuable insights for addressing the challenges posed by urbanization and climate change in rapidly urbanizing regions.

Effect of senior executives' overseas experience on corporate green innovation.

Against the background of increasingly severe environmental problems, green development has gained widespread attention, and green innovation has thus become crucial for enterprises. This study used 2007-2019 data from listed A-share companies in China to evaluate the effect of senior executives' overseas experience on corporate green innovation. The results showed that senior executives' overseas experience could promote green innovation in companies. This positive effect was more significant for private enterprises and high-tech enterprises, especially in eastern China. The CEO pay regulation have a significant negative moderating effect on this positive effect. This study enriches upper echelons theory and provides theoretical support for government agencies to accelerate innovative green development strategies. The results can also provide a decision-making basis for governments to formulate policies to promote enterprises' green development.

Creative usage of Vivli’s Antimicrobial Resistance Surveillance Open Data through the Re-Use Data Challenge

The escalation of infections caused by drug-resistant bacteria worldwide poses a formidable challenge to global health, necessitating innovative approaches to combat this issue. In 2022, Vivli launched the Antimicrobial Resistance (AMR) Register, a platform that consolidates antimicrobial susceptibility data from pharmaceutical industry surveillance programs. This register provides a freely available and fully searchable user-friendly repository to facilitate scientific understanding of resistance patterns and support development of innovative strategies to address AMR globally. To promote the register’s utility, raise AMR awareness and encourage further re-use of the available data, Wellcome funded the Vivli AMR Surveillance Open Data Re-Use Data Challenge in 2023. This data challenge successfully fostered diverse, impactful, and innovative solutions that leveraged the AMR Register data to contribute to resolving the AMR crisis. The outcomes of the initiative underscore the importance of access to open data in stimulating collaboration and innovation in the public health domain, particularly in combatting the growing threat of drug-resistant infections.

Strategic CO2 management in the energy and petroleum sector for the production of low-carbon LNG: A Qatar Case Study

The imperative to mitigate industrial CO2 emissions amidst global climate change has led to the development of innovative strategies that align economic growth with environmental sustainability. This study introduces a comprehensive CO2 allocation and utilisation framework, designed to reduce the environmental impact on the production of Liquefied Natural Gas (LNG). Demploying a multi-objective Linear Programming (LP) approach, the study introduces a system that dynamically allocates CO2 from a major source to several sinks, each with unique characteristics and requirements. Focusing on the State of Qatar, a major player in the global LNG market, advanced simulation tools, such as Aspen HYSYS and QASR Simulator are utilised to define the parameters of these sinks, ensuring precise and efficient CO2 allocation. An integral component of the model is the incorporation of a carbon tax, considered for both the source and the sinks. The results demonstrate that the profit maximisation objective generated a $23.6 billion annual profit, although with high emissions of 23.37 Mt/year. In contrast, the emission minimisation objective curbed emissions to 19.01 Mt/year at a profit of $1.4 billion. The multi-objective approach garnered $18.6 billion annually with emissions at 22.37 Mt/year. The CO2/LNG metric was used to gauge LNG's environmental footprint. Objective 1 yielded a ratio of 0.3033, while objective 2 achieved the best score at 0.2463. The multi-objective approach balanced both, with a ratio of 0.2905. These findings illuminate the feasibility of optimising industrial practices for producing low-carbon LNG through deliberate CO2 allocation and within a circular economy framework.

Lineage 1 PRRSVs Infection Induces Hemorrhagic Injury in Intestines of Piglets: Effects on Complement and Coagulation Cascades

Porcine reproductive and respiratory syndrome virus (PRRSV) causes a highly transmissible disease of significant concern in the pig industry. Previous studies have demonstrated that the XM-2020 strain (a lineage 1.8 PRRSV IA/2012/NADC30) can induce special hemorrhagic injury in the small intestines. However, the specific mechanism underlying this injurious effect remains incompletely understood. In this study, we examined the pathogenic properties of XM-2020 and YC-2020 strains (a lineage 1.5 PRRSV IA/2014/NADC34) in piglets. Animal pathogenic tests revealed that with either Lineage 1 PRRSVs strains XM-2020 or YC-2020 demonstrated pronounced intestinal hemorrhage and suppression of peripheral immunological organs, comparing to JXA1 infection. Transcriptome analysis of diseased small intestines unveiled that PRRSV infection stimulated oxidative and inflammatory reactions. Remarkably, we also observed activation of the complement system alongside a notable down-regulation of complement and coagulation cascade pathways in the Lineage 1 PRRSVs infection group. Based on these findings, we propose that the primary mechanism driving the hemorrhagic injury of the small intestine caused by Lineage 1 PRRSVs is the suppression of complement and coagulation cascades resulting from immunosuppression. This discovery deepens our understanding of the pathogenicity of PRRSV in the small intestine and provides promising ways out for the development of innovative strategies aimed at controlling PRRSV.

Unveiling the anti-echinococcal efficacy of amide-based compounds: An in-silico and in-vitro study

Cystic echinococcosis (CE) is a significant global public health concern, particularly in regions where livestock rearing is prevalent. Despite its impact on morbidity and mortality, CE has received insufficient attention compared to other neglected tropical diseases. The complexities in CE management arise from challenges in early detection, effective treatment, and parasite eradication. The present study addresses this gap by exploring innovative therapeutic approaches using amide-based compounds. In recent years, computational approaches and in-vitro studies have become prominent in neglected tropical disease drug discovery. Leveraging insights from previous studies on amide-based compounds with anti-parasitic potential, this study systematically designed, synthesized, and characterized a library of 30 amide compounds. The research integrated in-silico screening, molecular docking, and in-vitro experimentation to assess the anti-echinococcal potential of these compounds. The study identified five promising amide compounds, namely 3,5-dinitro-N-p-tolylbenzamide, N-p-tolyl-1-naphthamide, N-p-tolyl-4-(trifluoromethoxy)benzamide, 4-pentyl-N-p-tolylbenzamide, and 2,3,4,5,6-pentafluoro-N-p-tolylbenzamide, based on their docking scores. These compounds were synthesized and characterized through various spectroscopic techniques, confirming their structural integrity. The in-vitro cytotoxicity assay on HepG2 cell lines revealed varying degrees of cytotoxicity for the synthesized compounds. Notably, 4-pentyl-N-p-tolylbenzamide demonstrated the least cytotoxicity. Subsequent scolicidal activity assessments on E. granulosus protoscoleces demonstrated the potent protoscolicidal activity of N-p-tolyl-1-naphthamide, indicating its potential as an effective anti-echinococcal agent. Overall, this study presents a comprehensive exploration of amide-based compounds as potential therapeutic agents against CE. The findings contribute to the development of innovative strategies for CE treatment, addressing the urgent need for effective and safe drugs in managing this neglected tropical disease.

The Influence of Innovation Strategy on Sustainable Competitive Advantage

This study examines the influence of innovation strategy on sustainable competitive advantage through a functional innovation approach, innovation process, and innovation system. This research utilized survey data conducted on MSMEs in Yogyakarta with a total sample of 95 respondents. In order to answer the research hypothesis, this study employed the Partial Least Square Structural Equation Modeling (PLS-SEM) analysis tool using SmartPLS tools. The results of the study indicate that there is an influence of innovation strategy on the innovation process and system, as well as the influence of the innovation process and system on sustainable competitive advantage. This research has contributed to the development of innovation strategies in building sustainable competitive advantage in MSMEs.

Amplifying endogenous stem cell migration for in situ bone tissue formation: Substance P analog and BMP mimetic peptide-loaded click-crosslinked hyaluronic acid hydrogel

Endogenous stem cell-driven in situ bone tissue formation has recently garnered increasing attention. Therefore, our study sought to refine methods to enhance the migration and subsequent osteogenic differentiation of these cells. Our innovative approach involves using an injectable hydrogel that combines click cross-linking sites and a BMP-2 mimetic peptide (BP) with hyaluronic acid (HA). This injectable formulation, hereinafter referred to as SPa + Cx-HA-BP, incorporates a substance P analog peptide (SPa) with Cx-HA-BP, proving versatile for in vitro and in vivo applications without cytotoxicity. The controlled release of SPa creates a gradient that guides endogenous stem cells towards the Cx-HA scaffold from specific tissue niches. Both Cx-HA and SPa+Cx-HA induced minimal changes in the expression of genes associated with osteogenic differentiation. In contrast, these genes were robustly induced by both SPa + Cx-HA+BP and SPa + Cx-HA-BP, in which BP was respectively integrated via physical and chemical methods. Remarkably, chemically incorporating BP (Cx-HA-BP) resulted in 4–9 times higher osteogenic gene expression than physically mixed BP in Cx-HA+BP. This study validates the role of SPa role in guiding endogenous stem cells toward the hydrogel and underscores the substantial impact of sustained BP presence within the hydrogel. Collectively, our findings offer valuable insights for the development of innovative strategies to promote endogenous stem cell-based tissue regeneration. The developed hydrogel effectively guides stem cells from their natural locations and facilitates sustained osteogenic differentiation, thus holding great promise for applications in regenerative medicine.

Green innovation and corporate financial performance: Insights from operating risks

Green innovation endeavors are of utmost importance for China's green transformation, and the precondition for corporations to undertake green innovation is whether it can enhance their financial performance. Additionally, corporations must utilize leverage to stabilize funding for green innovation. However, it is uncertain how financial leverage affects the relationship between green innovation and corporate financial performance. This study examines the impact mechanism of green innovation on corporate financial performance, as well as its interaction with leverage ratio, using data from listed companies with green patents in the Shanghai and Shenzhen A-share markets spanning the period from 2000 to 2020. Employing a nonlinear panel data model, the findings reveal a U-shaped relationship between green innovation and corporate financial performance. Furthermore, the impact of green strategic innovation and green substantive innovation on corporate financial performance exhibits heterogeneity. The study also highlights the negative impact of the risk accumulation effect resulting from the combination of leverage ratio and green innovation on corporate financial performance. Conversely, the interaction between deleveraging measures and green innovation proves beneficial in promoting corporate financial performance. Therefore, decision-makers in corporations and governments should make rational use of financial leverage when formulating green innovation development strategies.

Potential Anti-Infectious Activity of Essential Oil Chemotypes of Lippia origanoides Kunth on Antibiotic-Resistant Staphylococcus aureus Strains.

Staphylococcus aureus infections are prevalent in healthcare and community environments. Methicillin-resistant S. aureus is catalogued as a superbug of high priority among the pathogens. This Gram-positive coccus can form biofilms and produce toxins, leading to persistent infection and antibiotic resistance. Limited effective antibiotics have encouraged the development of innovative strategies, with a particular emphasis on resistance mechanisms and/or virulence factors. Medicinal aromatic plants have emerged as promising alternative sources. This study investigated the antimicrobial, antibiofilm, and antihemolysis properties of three different chemotypes of Lippia origanoides essential oil (EO) against susceptible and drug-resistant S. aureus strains. The chemical composition of the EO was analyzed using GC-MS, revealing high monoterpene concentrations, with carvacrol and thymol as the major components in two of the chemotypes. The third chemotype consisted mainly of the sesquiterpene β-caryophyllene. The MIC values for the two monoterpene chemotypes ranged from 62.5 to 500 µg/mL for all strains, whereas the sesquiterpene chemotype showed activity against seven strains at concentrations of 125-500 µg/mL, which is the first report of its anti-S. aureus activity. The phenolic chemotypes inhibited biofilm formation in seven S. aureus strains, whereas the sesquiterpene chemotype only inhibited biofilm formation in four strains. In addition, phenolic chemotypes displayed antihemolysis activity, with IC50 values ranging from 58.9 ± 3.8 to 128.3 ± 9.2 µg/mL. Our study highlights the importance of L. origanoides EO from the Yucatan Peninsula, which has the potential for the development of anti-S. aureus agents.

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.

New insights into NO bonding in Tan sheep myoglobin for meat pigmentation: Spectroscopic and density functional theory investigations

Color of meat remains crucial quality attribute that attracts attention of researchers worldwide. Various strategies have been employed to manipulate meat color by generating nitric oxide (NO), which interacts with myoglobin (Mb) to yield the pinkish-red pigment, nitrosomyoglobin (MbFeⅡNO). However, the formation mechanism of MbFeⅡNO warrants further exploration at the molecular-structural level for meat pigmentation. Here, Tan sheep Mb was purified and characterized its primary structure via LC-MS/MS, which found it to be identical to sheep Mb. Circular dichroism spectroscopy revealed 70.05 % α-helix content in the secondary structure of Tan sheep Mb. UV-visible and resonance Raman spectroscopy monitored NO bonding in Tan sheep Mb, revealing that NO displaced H2O of MbFeⅢ, forming MbFeⅢNO, which subsequently transformed into low-spin six-coordination MbFeⅡNO. Additionally, three-dimensional structure of Tan sheep Mb was constructed utilizing Alphafold2, and theoretical simulations and calculations were performed through molecular docking and DFT. Results confirmed the synergistic effect of the strong metal-ligand and hydrogen bonding interactions among the NO, heme iron, and distal sites significantly contributed to the stable formation of MbFeⅡNO. Overall, this study offers a novel perspective on the mechanism of NO binding in Mb, potentially guiding the development of innovative strategies to mitigate meat color deterioration.

Agent-based modeling and optimization of the characteristics for research-and-production clusters

This paper presents a developed agent-based simulation model for the development of research-and-production clusters in Russia implemented with the use of high-tech enterprises located in four science cities (Troitsk, Obninsk, Pushchino and Protvino) as the case study. A new approach to modeling and optimization of gross metropolitan product (GMP) is proposed, taking into account the influence of the “gravity effect” on the redistribution of labor resources between developing science cities and appropriate enterprises united in single research and research-and-production clusters An important element of this approach is the formation of various scenarios for the strategic development of the research-and-production clusters being assessed and support for the possibility of choosing the most preferable scenario using an evolutionary optimization algorithm. An enlarged simulation model has been developed and implemented in AnyLogic describing the possible development trajectories of science cities with a corresponding change in the values of the most important characteristics: the number of economically active population, the number of research-and-production enterprises, the volume of products produced in high-tech sectors of the economy, GMP, etc. The designed framework is intended primarily for the management of research-and-production clusters implementing the strategy of innovative development. Such a framework uses methods of system dynamics and agent-based simulation modeling supported in the AnyLogic system, genetic optimization algorithms and GIS mapping for science cities, etc. to implement the required functionality. The approbation of the framework was completed with the use of real data published in the approved strategies of the relevant science cities development. As a result of the numerical experiments carried out, some recommendations were proposed for the development of the research-and-production clusters under study considering their mutual influence and the existing base of resources.

INNOVATIVE DEVELOPMENT OF HOSPITALITY ENTERPRISES

The article studies the main directions and stages of development of the strategy of innovative development of hotel enterprises. It is substantiated that the development and implementation of innovations is the most important condition for the progressive development of both a separate enterprise, an entrepreneurial structure, and the entire economy as a whole. Innovative processes are now becoming increasingly important, their main task is to achieve competitive advantages for enterprises and more fully meet consumer demand for high-quality services. At present, this can only be achieved through innovations that need to be widely implemented and used in modern economic conditions.
 Innovation drives the emergence of in the market for new or improved products and services. Innovative activities can lead a hotel company to qualitative changes in all processes activities. They are aimed at achieving results - increasing the speed and quality of the visitor service process.
 Innovation process at the enterprise hotel industry consists of a list of actions to introduce services with new properties, new technological processes, the use of new methods and methods of logistics.
 Innovative development in the hotel business allows you to win as many visitors as possible and in the best way satisfy their needs while maintaining a market segment. This development strategy hotel determines its recognition on competitive service markets.
 The best way to achieve good results is to plan a hotel enterprise development strategy based on a systematic analysis of competitors, consumers, and the hotel's technological profile.
 It should not be forgotten that for any hotel, the most important role in the process of innovative development is played by the staff. After all, the human factor certainly affects the positioning of the service and can lead to its positive and negative position

SELECTION AND IMPLEMENTATION ALTERNATIVES FOR THE MARKETING STRATEGY OF ENTERPRISE MANAGEMENT

The purpose of the article is to justify modern approaches to the choice of marketing strategies and to develop practical recommendations for their implementation and management in the activities of agricultural enterprises. The methodological basis of the study was a synthesis of the results of applied research in economics, scientific works of domestic and foreign scientists, which highlighted the basic theories of competitive advantage, competitiveness and marketing management. Results. The article examines the essence of the peculiarities of the system of strategic management of marketing activities of agricultural enterprises, provides a description of marketing strategies for managing the development of the enterprise, outlines methodical approaches to assessing the level of potential of marketing strategies in the activities of agricultural enterprises. The paper formulates the key objectives of marketing activities and allocates the tasks that are key in developing a marketing strategy. Thus, having analysed most of the classifications of marketing strategies, it can be concluded that strategies are developed for each individual enterprise depending on the mission of the enterprise, tactical and strategic development goals. It has been established that when choosing a marketing strategy it is necessary to concentrate efforts on the set goals, main features of the marketing strategy, such as: long-term orientation, based on the results of strategic marketing analysis, certain subordination in the hierarchy of corporate strategies, determined market orientation of activity (in relation to consumers and competitors). In addition, the company's marketing strategy determines its strengths, which allow it to win in competition. Practical results. The publication identifies specific features of marketing management of formation and implementation of strategies of innovative development of agricultural enterprises. The main factors of the external and internal environment that determine the adaptation of marketing activities and the management system of agricultural enterprises to their changes are noted. The proposed system of the competitive strategy of the enterprise, which includes a separate set of strategies: the ability to form competitive advantages, the application of the competitive strategy and the effective use of the competitive strategy of the enterprise. Value/Originality. The article systemises main types of marketing strategies, competitive strategies and strategies of innovation development. The competitive approach is based on the strategy and tactics of counteracting competitors. Within this approach, two ways of achieving competitive advantages can be used: the marketing strategy of the leader and the strategy of sustainable development of the competitive environment.

ДЕЯКІ АСПЕКТИ СТРАТЕГІЧНОГО УПРАВЛІННЯ ІННОВАЦІЙНИМ РОЗВИТКОМ ПРОМИСЛОВИХ ПІДПРИЄМСТВ У КОНТЕКСТІ ДІДЖИТАЛІЗАЦІЇ

The article describes methodical approaches to the formation of the strategy of innovative development of industrial enterprises based on the Burennikova (Polishchuk)-Yarmolenko component effectiveness models, which are based on the characteristics of the category of effectiveness of any process (including the process of innovative development) using the category of effectiveness of the process as a combination its scale – the quantitative component and efficiency – the qualitative component. The purpose of the article is to reveal approaches to the formation of the innovative development strategy of industrial enterprises as micro-level systems in the context of management based on indicators of the effectiveness of the components of the innovative development process using SEE analysis as part of the SEE management mechanism in the context of digitalization. It is emphasized that the implementation of the SEE-management algorithm is based on a certain mechanism, which contains SEE-analysis and other tools, which, along with the known characteristics, cover a set of indicators of the components of the effectiveness of the innovative development process. The SEE-analysis of the process of innovative development of industrial enterprises as complex systems at the micro level means the analysis of the effectiveness of this process on the basis of the above-mentioned models and their indicators. It was determined that the proposed methodology, thanks to SEE-management, can contribute to the adoption of scientifically based management decisions regarding the innovative development of enterprises, including in the context of digitalization. A refined definition of the definition "digitalization" is given. It is believed that the use of a system of indicators in the models of the components of the effectiveness of the innovation development process will make it possible to implement in practice a comprehensive approach to the analytical, prognostic and other components of management (in particular, SEE-management) of the innovative development of industrial enterprises, starting with making a decision about the feasibility of innovations and ending with evaluation effectiveness of the innovative development process.

Abstract 3377: Exploring the role of obesity-induced exosome secretion and associated proteins in endometrial cancer pathogenesis: A roadmap for prevention through exosome inhibition

Abstract Introduction: Endometrial cancer (EC) is the leading gynecologic malignancy in the U.S., with obesity implicated in 57% of cases. This study explores the molecular workings of oncogenic protein expression (TMEM205, STAT5, and FAS) and their role in regulating exosome secretion. Understanding these mechanisms is crucial for unraveling pathways involved in obesity-related EC, informing the development of innovative strategies for prevention and treatment. Methods: The isolated exosomes were quantified using nanoparticle tracking analyzer (NTA) and their size measured by Transmission electron microscopy (TEM). TMEM205, STAT5, FAS and PIAS3 expression was confirmed by IHC, ELISA and RT-PCR in patient and high fat diet treated mouse tissue. Endometrial hyperplasia was developed in immunocompetent mice using high fat diet (HFD; 45 kcal% fat diet) for 16 weeks. Results: Our study investigates exosome secretion and the regulation of oncogenic proteins in adipose and uterine tissues from obese EC patients compared to non-obese EC samples. Analyzing the effects of a 45% kcal high-fat diet (HFD) on mice over 24 weeks, we observed higher body weight and increased adipose tissue in the HFD group, along with enlarged uterine horns and heightened inflammation. This correlated with elevated exosome secretion and increased expression of TMEM205, FAS and STAT5, while the tumor suppressor gene PIAS3 was downregulated. The identified small molecule inhibitor, DAP-5, selectively targeting TMEM205 and exosome secretion, demonstrated a significant reduction in body weight and adipose tissue accumulation when administered to HFD mice. Additionally, DAP-5 treatment restored normal uterine morphology and reduced the expression of exosome-related proteins. Conclusion: This study offers central insights into the mechanisms underlying obesity-mediated TMEM205 expression and exosome secretion, shedding light on their role in the pathogenesis of EC. Additionally, it provides pre-clinical evidence supporting the initiation of the first in-human studies for exosome-targeted therapies aimed at preventing obesity-mediated EC. Citation Format: Takahiko Sakaue, Kalpana Deepa Priya Dorayappan, Roman Zingarelli, Wafa Khadraoui, Muralidharan Anbalagan, John Wallbillich, Mark Wascovich, Pragyan Paramita, Adrian Suarez, Casey Cosgrove, Larry G. Maxwell, Hironori Koga, David O’Malley, David Cohn, Selvendiran Karuppaiyah. Exploring the role of obesity-induced exosome secretion and associated proteins in endometrial cancer pathogenesis: A roadmap for prevention through exosome inhibition [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3377.

Abstract 6376: Establishment of the Consortium for Childhood Cancer Predisposition and the Childhood Cancer Predisposition Study

Abstract Background: Genetic predisposition contributes to a much higher proportion of cancer in children than previously appreciated. This creates a unique opportunity to develop improved methods to identify children at increased risk for cancer, enable early detection or prevention of tumors, and improve cure rates with decreased morbidity. However, several challenges have impeded successful research and systematic approaches to the care of children with cancer predisposition. Methods: We established the Consortium for Childhood Cancer Predisposition (C3P), currently comprised of seven large pediatric institutions in North America. The long-term goal of C3P is to improve outcomes for children with genetic susceptibility to cancer through collaborative research and data sharing. To this end, we have developed the Childhood Cancer Predisposition Study (CCPS), a multicenter registry and biorepository, to achieve three main aims: 1) Establish and maintain the infrastructure for recruitment, participation, collection and sharing of clinical data and biological samples for children with cancer predisposition syndromes (CPS); 2) Define the spectrum of disease in children with CPS and explore the unique characteristics and management approaches of CPS-related tumors compared to their sporadic counterparts; and 3) Evaluate the clinical impact and effectiveness of standard and emerging tumor surveillance strategies. Results: The CCPS opened to enrollment in May, 2021 and is currently recruiting at 3 member sites. To date, 276 primary subjects and 44 family members have been enrolled, 211 in the last year. In total, 37 different cancer predisposition diagnoses are represented among participants, including those that are more prevalent, e.g., Li-Fraumeni syndrome (n=42), DICER1 syndrome (n=27), and PTEN Hamartoma Syndrome (n=21), and those which are very rare, e.g., Rothmund-Thomson syndrome (n=2). There is excellent uptake on obtaining samples, with the CCPS Biorepository at Emory University receiving biospecimens from 261 subjects to date, including constitutional DNA (n=261), frozen peripheral blood mononuclear cells (n=32), and plasma samples for ctDNA analysis (n= 26). Conclusions: C3P has established the infrastructure to facilitate comprehensive collaborative work to improve outcomes for children with cancer predisposition, which represent a wide variety of disorders. Future efforts will include the development of innovative strategies to promote recruitment beyond the primary C3P sites and the support of additional clinical and biological studies of specific CPS. Citation Format: Anita Villani, Garrett M. Brodeur, Lisa R. Diller, Chloe Edgerton, Junne Kamihara, Wendy Kohlmann, Suzanne P. MacFarland, Luke Maese, David Malkin, Kim E. Nichols, Melissa R. Perrino, Sharon E. Plon, Surya Rednam, Christopher C. Porter. Establishment of the Consortium for Childhood Cancer Predisposition and the Childhood Cancer Predisposition Study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6376.