Advantage Of Resources Research Articles

Facilitating remote and virtual access provision by European research infrastructures - requirements, issues, and recommendations.

Research Infrastructures (RIs) are strategic assets facilitating innovation and knowledge advancement across all scientific disciplines. They provide researchers with advanced tools and resources that go beyond individual or institutional capacities and promote collaboration, community-building and the application of scientific standards. Remote and virtual access to RIs enables scientists to use these essential resources without the necessity of being physically present. The COVID-19 pandemic restrictions where a catalyst for the expansion and further development of remote and virtual access models, particularly in fields where physical access had been the predominant model. The eRImote project explores pathways for digital and remote RI access through targeted surveys, stakeholder workshops, expert groups discussions, and the analysis of specific use cases. This paper provides a definition of remote and virtual access and remote training and explores their implementation across various RIs, highlighting the implications for their operational processes and the dynamics of interaction between RIs and their user communities. It presents the identified advantages, obstacles, and best-practices, alongside strategies and recommendations to navigate and mitigate challenges effectively. Key issues and recommendations are summed up separately for remote access, virtual access, and remote training, complemented by general recommendations for facilitating remote and virtual access to RIs. These relate to budgeting and funding, the balancing of RI access models, the need for regulatory frameworks for sample shipments, collaboration among RIs, impact assessment of remote and virtual access on user interactions, operational efficiency and the environment footprint of RIs, and the adaption of data sharing policies. Stakeholders are broadly invited to give their feedback on the paper's findings and conclusions, which will be integrated into improved versions of this paper.

How does the competition trend influence college entrepreneurial education? An inclusive perspective considering inequality brought by network centrality

ABSTRACT Action-based college Entrepreneurial Education (EE) is trying to stimulate explorative and exploitive actions in consulting networks provided with venture simulations, to enhance knowledge performance. As networks play an increasingly important role in college EE, inequality between students in the central part and those in the peripheral is on the horizon. Different from the traditional view of examining the resource advantages of centralized people, this paper proposes and tests the disadvantages of those in the peripheral on performance improvement. Moreover, it taps into the influencing mechanism of vigorously developed competition on network centrality and knowledge performance, to compensate for the disadvantages of those in the periphery. The findings show that privileges brought with central positions in networks exist, leaving people in the periphery at the disadvantage of performance improvement. Students’ competition experiences weaken the relationship between in-degree centrality and knowledge performance. Competition experiences are beneficial for students at various network positions, especially for those in the periphery. This study proposes a framework of integrating the mode of “learning by doing” in networks in class and students’ competition experiences after school, enabling future studies to tap into the correction mechanism of competition trend in inequality in network structures.

The balance issue of the proportion between new energy and traditional thermal power: An important issue under today's low-carbon goal in developing countries

The stability of the new power system depends on the balance between controllable flexible resources and uncontrollable uncertain resources. For many developing countries and regions lacking advanced flexible resources, thermal power is the main force in solving the problem of new energy consumption. Finding the balance between new energy and traditional thermal power is the key for today's low-carbon goal. To solve this problem, this paper calculates the power range and climbing rate range of thermal power based on physical principles and actual data, and characterizes the characteristics of wind power, photovoltaic power, load and net load based on the five proposed volatility indicators. Then, a logically clear method for determining the required number of thermal power units based on the volatility indicators of new energy from the mechanism and principle perspective is proposed. Finally, under the premise of meeting the power balance and flexibility balance of the power system, the reasonable ratios between the installed capacity of new energy and the number of thermal power units are calculated in four seasons. The results indicate that the judgment system can provide guidance for the energy structure of developing regions.

Highly Soft, Abrasion-Resistant, and Moisture-Absorbent Wool/PA56 Blended Yarns for Seating Fabrics.

Biobased nylon (PA56) not only has the same physical properties as nylon (PA6/PA66) but its production method is also more environmentally friendly. PA56 fabric has the advantages of moisture absorption, perspiration, high-temperature resistance, and flexibility, which have been widely studied by scientific researchers. Wool has the advantages of beauty, environmental protection, and anti-wrinkle. However, pure wool fabrics have low strength and are easy to shrink when washed, which has always been a problem. Hence, this work adopted the ring spinning method to prepare wool/PA56 blended yarn with wool content of 0, 10, 30, 50, 70, and 100 wt%. Thus, to examine the effects of different blending ratios and twists on yarn performance, PA56 was blended with wool. The results showed that findings indicate that yarn performance is influenced by both yarn twist and blending ratio. The yarn thickens and takes on more linear density as the blending ratio and yarn twist increase. As the wool ratio increases, the yarn's breaking stress and breaking strain decrease. It is obvious that the strength and elongation at break of pure PA56 yarn are 2.09 cN/Dtex and 33.92%, respectively. When the wool content was 100 wt%, the strength and elongation at break of the blended yarn were 0.66 cN/Dtex and 21.15%, respectively. With the amount of wool blending, the yarn hairiness index's H-value initially rises and subsequently falls. The percentage of blended wool reaches 50% at 2.14; less blending might exacerbate the yarn's stem, resulting in neps and unevenness features. The quality of the yarn improves as the blending percentage rises. The yarn has the advantages of resource saving, biodegradability, and environmental friendliness and has a broad application prospect in the automotive interior field.

Incidence of Endoscopic Retrograde Cholangiography after Subtotal Fenestrating and Reconstituting Cholecystectomy.

Laparoscopic subtotal cholecystectomy (SC) is used for the difficult cholecystectomy, but published experience with resource use for SC is limited. We hypothesized that the need for advanced resources are common after SC. This was a retrospective review of laparoscopic cholecystectomies between 2017 and 2021 at a large center. SC cases were identified using a medical record tool. Baseline characteristics were assessed with Student's t -test and chi-square test. Primary outcome was endoscopic retrograde cholangiography (ERC) within 60 days. Secondary outcomes were reconstituted SC on postoperative ERC and length of stay (LOS). Uni- and multivariable logistic regression were used for binary outcomes. Multiple linear regression was used for LOS. Covariates included were age, sex, BMI, and American Society of Anesthesiology class. A total of 1,222 laparoscopic cholecystectomies were performed between 2017 and 2021. Of these, 87 (7%) were SC. Male (p < 0.001) and older (p < 0.001) patients were more likely to undergo SC. Odds of postoperative ERC were higher in the SC group (odds ratio 9.79, 95% CI 5.90 to16.23, p < 0.001). There was no difference in preoperative ERC (17% vs 21%, p = 0.38). Reconstituting SC had lower odds of postoperative ERC (odds ratio 0.12, 95% CI 0.023 to 0.58, p = 0.009). LOS was 1.81 times higher in the SC group (p ≤ 0.001). Postoperative ERC was not associated with LOS (p = 0.24). We present one of the largest single-center series of SC. Patients who underwent SC are more likely to be male, older, have higher American Society of Anesthesiology class, and have increased LOS. SC should be performed when access to ERC and interventional radiology is available. In the absence of these adjuncts, reconstituting SC decreases the need for early ERC, but long-term outcomes are unknown.

Comprehensive Evaluation of the Development Level of China’s Characteristic Towns under the Perspective of an Urban–Rural Integration Development Strategy

With the advancement of urbanization and the continuous deepening of reforms in urban–rural systems, China’s urbanization process has entered a new era of integrated urban–rural integration. Currently, as a global “new green revolution” gains momentum, numerous countries are deeply integrating the concept of sustainable development into new urban planning. Against this backdrop, urban planners worldwide are committed to building green, livable, and smart cities that can meet the needs of the present generation without compromising the ability of future generations to meet their needs, thus achieving the vision of harmonious coexistence between humanity and nature. Characteristic towns, leveraging their resource advantages, play a significant role in achieving sustainable regional economic development. They serve as valuable references for China’s urban transformation and upgrading, as well as for promoting rural urbanization, and are crucial avenues for advancing China’s urban–rural integration development strategy. The evaluation of the development level of characteristic towns is a necessary step in their progress and a strong guarantee for promoting their construction and development. Therefore, effectively evaluating the social benefits of characteristic towns is paramount. This study constructs an evaluation model based on the grey rough set theory and Technique for Order Preference by Similarity to Ideal Solution of TOPSIS. Firstly, an evaluation index system for the development level of characteristic towns is established. Then, the grey relational analysis method and rough set theory are used to reduce the index attributes, while the conditional information entropy theory is introduced to determine the weights of the reduced indicators. Finally, the TOPSIS model is applied to evaluate the development level of characteristic towns. Through empirical research, eight characteristic towns in Zhejiang Province, China, were assessed and ranked, verifying the effectiveness and feasibility of the proposed model.

Clash of mosquito wings: Larval interspecific competition among the mosquitoes, Culex pipiens, Aedes albopictus and Aedes aegypti reveals complex population dynamics in shared habitats.

Globalisation, climate change and international trade are the factors contributing to the spread of Aedes albopictus (Diptera: Culicidae) and Ae. aegypti into new areas. In newly invaded habitats, these non-native species can serve as arbovirus disease vectors or increase the risk of disease spill over. These mosquitoes continue to emerge in new areas where they have or will have overlapping ranges with other resident mosquito species. The study investigates how invasive Aedes mosquitoes compete with the native Culex pipiens in Türkiye, which might affect the overall mosquito population dynamics and disease transmission risks. Both Aedes species exhibited contrasting responses to interspecific competition with Cx. pipiens. While Ae. albopictus suffers reduced emergence primarily in larger containers with abundant food, Ae. aegypti surprisingly thrives in mixed cultures under all food conditions. Adult Cx. pipiens emergence drops by half against Ae. albopictus and under specific conditions with Ae. aegypti. Competition influences mosquito size differently across species and life stages. Culex pipiens females grow larger when competing with Ae. aegypti, potentially indicating resource advantage or compensatory strategies. However, Ae. albopictus size shows more nuanced responses, suggesting complex interactions at play. Understanding how invasive and native mosquitoes interact with each other can provide insights into how they adapt and coexist in shared habitats. This knowledge can inform effective control strategies. The study highlights the differential responses of invasive Aedes species and the potential for managing populations based on their competitive interactions with the native Cx. pipiens. It can contribute to improved monitoring and prediction systems for the spread of invasive mosquitoes and the associated disease risks.

A community proactive health management model for family doctors in Shandong, China.

Background Chronic disease management is an essential part of public health management and a fundamental means of slowing down the progression of major diseases. Unlike traditional medical care, proactive health management focuses on the combination of prevention and treatment. Proactive health management can reduce the re-admission rate of patients with chronic diseases, improve long-term prognosis, and effectively reduce the disability and mortality rates of major health events. This study aimed to establish a proactive health management model based on a grid-based medical service team arrangement, and to explore the effect of this model on managing chronic diseases in community health service institutions. Methods A grid-based medical service team was established in Binzhou, Shandong, China, consisting of general practitioners, nurses, public health doctors, health promoters and community grid liaison staff. Each team was responsible for several areas to monitor critical populations within the grid and compile statistics on the health management of these key populations in 2022-2023. Results A total of 2050 patients with coronary artery disease, 4973 patients with hypertension, and 1621 patients with type 2 diabetes were followed up in 2022. Compared with 155,612 resident health records in 2022, the number of records increased by 140.50% in 2023. The number of patients with hypertension under health management in 2023 increased by 50.92%; patients with type 2 diabetes increased by 74.65%; and the number of coronary artery disease increased by 42.00%. After the implementation of grid management, the hospitalisation rate for patients with type 2 diabetes significantly decreased in 2023 (P P >0.05). Conclusion The grid-based community proactive health management model makes full use of the advantages of community resources and improves the pertinence and coverage of community health services. Moreover, it reduces hospitalisation for patients with type 2 diabetes.

Contrasting temperature and light sensitivities of spring leaf phenology between understory shrubs and canopy trees: Implications for phenological escape

Spring leaf phenology influences plant fitness and is highly sensitive to environmental changes. The spring phenological escape hypothesis posits that deciduous understory plants generally leaf out earlier than canopy trees to access a period of high light before the canopy closes. However, plants in different forest layers may respond differently to climate warming, which could lead to phenological mismatch between the understory and canopy species. Therefore, exploring the phenological sensitivities of plants from different forest layers is crucial for anticipating the effects of climate-driven phenological shifts. However, these types of studies are still scarce. Here, we conducted a twig experiment in climate chambers for eight tree species and seven shrub species growing in subtropical deciduous forests in the Shennongjia Mountains, central China. Specifically, we set up three treatments (control, warming, and shading) for five weeks to test the responses of the timing of bud burst and leaf unfolding, and the duration of bud development to different temperatures and light intensities. For shrubs, bud burst and leaf unfolding occurred earlier and the duration of bud development was shorter than these of trees. For both shrubs and trees, warming significantly advanced the timing of leaf unfolding and shortened the duration of bud development. Shading significantly delayed the timing of bud burst for both shrubs and trees. Shading also delayed the timing of leaf unfolding and lengthened the duration of bud development for trees, but did not significantly influence the two phenological metrics for shrubs. Tree phenology, as measured by all three metrics, was more sensitive to temperature than was shrub phenology. The timing of bud burst of shrubs was slightly more sensitive to light than that of trees. Our results indicate that shrubs leaf out earlier than trees in the same forest, which allows understory species to take advantage of the high-light resources before canopy closure. However, in our study, trees were more responsive to warming temperatures, suggesting that spring warming could advance canopy closure relative to shrub leaf phenology, potentially resulting in phenological mismatch between understory shrubs and canopy trees.

Next-generation bioinformatics: An ultrafast and user-friendly tool for phylogenomic data exploration.

With increasingly large genomic datasets, even routine bioinformatic tasks can be arduous, computationally demanding, and time-consuming. Additionally, most bioinformatic programs do not have a graphical user interface (GUI) and thus, require users to be minimally competent in command-line. These impediments present significant economic and technological barriers for practitioners who do not have access to advanced computational resources and support. In this issue of Molecular Ecology Resources, Handika and Esselstyn (2024) developed an ultrafast and memory-efficient bioinformatic tool, SEGUL, that performs common manipulations and calculations of summary statistics on phylogenomic datasets. SEGUL has two main features that distinguish it from other bioinformatic programs: (1) it is based on the recently emergent, high-performance programming language Rust, and (2) it has a GUI written using Flutter, a cross-platform programming framework that also supports mobile operating systems (mobile iOS, iPadOS and Android). By leveraging and combining the power of Rust and Flutter, SEGUL achieves significantly faster computation times and lower memory usage across different platforms and CPU architectures compared to similar programs. The unique and innovative features of SEGUL pave the way for a new era of bioinformatics that can be more energy-efficient, inclusive, and available to a broader swathe of users.

Correlating geodiversity and mining in the seridó UNESCO Global Geopark: Spatial and impact analysis in brazilian northeast

Mining areas can provide important information for interpreting the geodiversity and geological heritage of an area, which also results in the need for special attention to conservation in terms of inventory, impact studies, and recovery plans for degraded areas. The territory of the Seridó UNESCO Global Geopark, northeastern Brazil, has several mining districts linked to the production of scheelite, gold, gemstones, dimensional rocks, and kaolin. Thus, we aimed to assess the impact of mining on the geopark's geodiversity and geoheritage. Through cartographic analysis, mineral resources and mining areas were observed, overlapping with geodiversity mapping, geosites' proximity to exploration areas, and abiotic ecosystem services generated or interrupted by mining. The results showed a wide diversity of resources and different relationships between geodiversity hotspots, geosites, and mining areas. The mineral exploitation could be fundamental for sustainable development in the geopark, considering proper conditions of ecosystem services balancing, and adequate use of international geoheritage and geoconservation policies in active mining. Furthermore, the paper presented that abiotic nature should be considered in environmental impact assessments and mining restoration plans. The geopark management should continue to develop initiatives to take advantage of mineral resources to promote sustainability.

Influence of Strategic Oriention on Diversity of Top Management and Competitive Advantage of Insurance Companies

Whereas strategy literature presents ambiguous findings on the influence of top executives on firm outcomes, there is mixed evidence that several other dynamics can come into play to enhance or downplay this relationship. This study sought to address this gap by interrogating whether strategic orientation would impact the connection between top management team diversity and competitive advantage of insurance companies based in Kenya. 54 companies targeted were subjected to a cross sectional survey and from this, 41 availed a senior executive to complete the research questionnaire presented. Data gathered was subjected to analysis with the aid of statistical software for social sciences and regression analysis applied to test hypotheses. The impact of strategic orientation was tested through the Baron and Kenny approach. The findings revealed that top manager diversity and strategic orientation affected competitive advantage despite not fully accounting for its variability. Additionally, &amp;nbsp;strategic orientation presented a statistically significant effect&amp;nbsp;and proved to be a moderator in the association between top management team diversity and competitive advantage. &amp;nbsp;These findings implied that policy makers and practitioners take guidance on the importance of designing teams with diverse members that can front effective strategies for market competitiveness. The results backed the perspectives in the upper echelon and resource advantage view since it established that when teams have diverse members and calculated strategic positions, they have the capability to attain competitive advantage. The study recommended that future studies take into consideration a longitudinal approach that enables observation and analysis of relationship among variables for a considerable duration.

Evolutionary variation in gene conversion at the avian MHC is explained by fluctuating selection, gene copy numbers and life history.

The major histocompatibility complex (MHC) multigene family encodes key pathogen-recognition molecules of the vertebrate adaptive immune system. Hyper-polymorphism of MHC genes is de novo generated by point mutations, but new haplotypes may also arise by re-shuffling of existing variation through intra- and inter-locus gene conversion. Although the occurrence of gene conversion at the MHC has been known for decades, we still have limited understanding of its functional importance. Here, I took advantage of extensive genetic resources (~9000 sequences) to investigate broad scale macroevolutionary patterns in gene conversion processes at the MHC across nearly 200 avian species. Gene conversion was found to constitute a universal mechanism in birds, as 83% of species showed footprints of gene conversion at either MHC class and 25% of all allelic variants were attributed to gene conversion. Gene conversion processes were stronger at MHC-II than MHC-I, but inter-specific variation at both MHC classes was explained by similar evolutionary scenarios, reflecting fluctuating selection towards different optima and drift. Gene conversion showed uneven phylogenetic distribution across birds and was driven by gene copy number variation, supporting significant role of inter-locus gene conversion processes in the evolution of the avian MHC. Finally, MHC gene conversion was stronger in species with fast life histories (high fecundity) and in long-distance migrants, likely reflecting variation in population sizes and host-pathogen coevolutionary dynamics. The results provide a robust comparative framework for understanding macroevolutionary variation in gene conversion at the avian MHC and reinforce important contribution of this mechanism to functional MHC diversity.

Matching comparative advantages to special economic zones for sustainable industrialization

African countries are consistently trying to leverage industrialization to advance their economic development. Despite possessing favorable factors such as abundant natural resources, a surplus of low-cost labor, and an increasing number of established Special Economic Zones (SEZs), African countries are yet to fully maximize their potential and achieve sustainable and inclusive industrialization. This study explores the comparative advantages of African countries to determine the types of SEZs that can effectively accelerate industrialization. By leveraging the unique strengths and resources of each country, customized strategies for SEZs can be developed to attract investments, promote technological advancements, and foster sustainable economic growth. The research utilizes the Revealed Comparative Advantage (RCA) matrix, which is grounded in Ricardian trade theory, examining trade data spanning from 2011 to 2021 to evaluate the competitive export capabilities of various countries. The findings consistently reveal that the selected countries (Ghana, Ethiopia, and South Africa) possess a significant and consistent comparative advantage in natural and agricultural resources compared to other sectors. Establishing SEZs that focus on these sectors can generate substantial socio-economic impacts, including attracting investments, creating employment opportunities, enhancing export capacities, stimulating economic growth, fostering linkages, facilitating skills and technology transfer, promoting spillover effects, encouraging specialization, developing infrastructure, and supporting value addition in agribusinesses. The result of this study will contribute to policy discussions and aid decision-making processes for policymakers, investors, and development practitioners in their efforts to advance industrial development across Africa.

Spatio-temporal variation and influencing factors of aero-sports tourism internet attention in Shaanxi Province, China

Despite China's building into a leading sporting nation and sport-tourism integration high-quality development strategy in the 20th National Congress of the Communist Party of China, existing tourism studies seldom concern sport-tourism integration, especially their spatial hot spots and evolutional trend based on geospatial big data. This study aims to probe into the spatiality and the underlying mechanism of sport tourism through internet attention data in 2015, 2018, and 2021 by social network analysis, with a specific focus on aero-sports tourism. Shaanxi Province is chosen as the study site given its advantages of rich aero-sports tourism resources and various aero-sports modes (e.g., sky diving, paragliding, etc.). The results are concluded: (1) At the provincial scale, the aero-sports tourism internet attention shows a pattern of “strong in the middle and weak in the north and south”. (2) At the regional scale, the sub-group clusters within the three specific regions (Shanbei, Guanzhong, and Shannan) of Shaanxi Province turn to be inter-regional clusters. Guanzhong region, especially with Xi'an as the core, is dominant in connecting its peripheral area. Since 2016, the radiation effects of the Guanzhong Region have shown a homogeneous trend of yearly growth and effect strengthening, yet become loosely connected with a heterogeneous trend in 2021 due to the COVID-19 epidemic. (3) At the city scale, the core area of aero-sports tourism internet attention expanded from Xi'an and Xianyang to Yulin and Baoji from 2015 to 2021, resulting from urban economic strength and aviation flight camp club development. (4) The number of general aviation manufacturers, tourist attendance, and tourism revenue significantly affect aero-sports tourism internet attention.

Cooperative R&amp;D networks embeddedness and innovation resilience: the moderating role of environmental turbulence

PurposeThe relationship between cooperative R&amp;D network embeddedness and firm innovation resilience is understudied. This paper seeks to answer the questions of whether and how embedding in cooperative R&amp;D networks improve digital firms’ innovation resilience.Design/methodology/approachBased upon social capital theory, this paper proposes a conceptual model with several hypotheses. The empirical analysis is based on a sample of 2,908 observations from 2005 to 2022. We measure firm innovation resilience by drawing on economic resilience and use LSM tests to assess the effect of cooperative R&amp;D network position on innovation resilience.FindingsThe results indicate that cooperative R&amp;D network centrality has a positive impact on firm innovation resilience and that the structural holes of the cooperative R&amp;D network have an inverted U-shaped relationship with firm innovation resilience. Moreover, technological turbulence negatively moderates the relationship between centrality and firm innovation resilience while also steepening the inverted U-shaped relationship between structural holes and firm innovation resilience. Market turbulence positively moderates the relationship between centrality and firm innovation resilience. However, the moderating effect of market turbulence on the inverted U-shaped relationship between structural holes and firm innovation resilience is not significant.Research limitations/implicationsInnovators' knowledge needs, bounded rationality, interests, and even organizational environments change over time, thus prompting them to constantly seek new opportunities to exchange and integrate knowledge, meet new beneficial partners, maintain beneficial cooperation, or terminate unhelpful cooperation. The utility of the network structure has dynamic characteristics. Only by considering the dynamics of the network can research on the mechanism of network structure be more complete, accurate and convincing. Therefore, future research can pay more attention to the relationship between dynamic networks and firm innovation resilience.Practical implicationsFirms should actively embed themselves in the cooperative R&amp;D network and occupy a beneficial network position. By joining the cooperative R&amp;D network, firms can gain resource advantages and enhance their ability to resist external shocks and improve innovation resilience.Originality/valueThis research advances our understanding of the antecedents of firm innovation resilience through the lens of organizational cooperation and uncovers the boundary conditions under which network embeddedness influences innovation resilience, thereby further enriching the theoretical framework of innovation resilience.

Artificial Intelligence-Entrepreneurship Future Research and Opportunities for New Business Model

Artificial Intelligence (AI) is a capability related to intelligent creatures in the form of artificial robots which are fully controlled by digital computers. The presence of Artificial Intelligence (AI) certainly changes the structure of human life which affects the effectiveness of human performance such as in the field of entrepreneurship. The main scope in artificial intelligence technology is gaining strategic advantage in digital business, human resources, market research, customer relations, accounting and finance, sales, marketing, and others. The investigation of this work is centered to understand more about Artificial Intelligence, opportunities for using Artificial Intelligence for entrepreneurship, perspectives that support AI technology as part of the new model of business, perspectives against the development of artificial intelligence, as well as future opportunities from artificial intelligence technology.

Prognostic value of combining 24-hour ASPECTS and hemoglobin to red cell distribution width ratio to the THRIVE score in predicting in-hospital mortality among ischemic stroke patients treated with intravenous thrombolysis.

Acute ischemic stroke (AIS) is a significant global health issue, directly impacting mortality and disability. The Totaled Health Risks in Vascular Events (THRIVE) score is appreciated for its simplicity and ease of use to predict stroke clinical outcomes; however, it lacks laboratory and neuroimaging data, which limits its ability to predict outcomes precisely. Our study evaluates the impact of integrating the 24-hour Alberta Stroke Program Early CT Score (ASPECTS) and hemoglobin-to-red cell distribution width (HB/RDW) ratio into the THRIVE score using the multivariable fractional polynomial (MFP) method (combined THRIVE-MFP model) compared to the THRIVE-c model. We aim to assess their added value in predicting in-hospital mortality (IHM) prognosis. A retrospective study from January 2015 to July 2022 examined consecutive AIS patients receiving intravenous thrombolysis. Data on THRIVE scores, 24-hour ASPECTS, and HB/RDW levels were collected upon admission. The model was constructed using logistic regression and the MFP method. The prognostic value was determined using the area under the receiver operating characteristic curve (AuROC). Ischemic cerebral lesions within the middle cerebral artery territory were evaluated with non-contrast computed tomography (NCCT) after completing 24 hours of intravenous thrombolysis (24-hour ASPECTS). Among a cohort of 345 patients diagnosed with AIS who received intravenous thrombolysis, 65 individuals (18.8%) experienced IHM. The combined THRIVE-MFP model was significantly superior to the THRIVE-c model in predicting IHM (AuROC 0.980 vs. 0.876, p<0.001), 3-month mortality (AuROC 0.947 vs. 0.892, p<0.001), and 3-month poor functional outcome (AuROC 0.910 vs. 0.853, p<0.001). The combined THRIVE-MFP model showed excellent predictive performance, enhancing physicians' ability to stratify patient selection for intensive neurological monitoring and guiding treatment decisions. Incorporating 24-hour ASPECTS on NCCT and HB/RDW proved valuable in mortality prediction, particularly for hospitals with limited access to advanced neuroimaging resources.

ANALYSIS OF UKRAINE’S COMPETITIVENESS: PROBLEMS AND PROSPECTS OF EUROPEAN INTEGRATION

The article analyzes the competitiveness of Ukraine, identifies problems and outlines the prospects and consequences of the country’s European integration aspirations. A retrospective review of the development of the country’s economic model was conducted in order to evaluate the effectiveness of the implementation of reforms and identify errors that affected the place and role of the domestic economy in the world markets of goods and capital. This made it possible to single out certain comparative characteristics with the main theories of international trade and international investment. It was noted that unsuccessful attempts to quickly transform from a command-administrative economy to a mixed market system led to a loss of industrial potential and, accordingly, negatively affected the structure of foreign trade relations and the investment climate, which in turn led to a drop in the level of competitiveness of Ukraine. Along with this, the analysis of the key indicators of socio-economic development indicates certain positive changes in the period 2002-2012, which was reflected in the dynamics of GDP growth, an increase in incoming investment flows, stabilization of inflation at the targeted level and overall improved welfare of society. However, the uncertainty and constant change of the vector of economic integration together with the change of power led to the deterioration of the state’s economic condition and made sustainable economic growth impossible. The period of revival of business and investment activity in the post-Covid 2021 year was replaced by a deep crisis with the beginning of the war. At the same time, the aspiration of our state to join the European community nevertheless gave a powerful impetus to the implementation and implementation of innovative reforms, which made it possible to achieve certain success in the direction of digitalization, infrastructure development, and further implementation of educational, medical, and social reforms even during the conduct of military operations. Currently, on the way to European integration, Ukraine is overcoming the difficult path of transforming its economic system to the requirements and values of the EU. Our country, together with the European Union, needs to solve the issues of labor migration and refugees, the introduction of a duty-free regime for domestic goods, the creation of a safe investment climate, etc. And there is not always unity in the choice of tools for solving these issues in the EU countries. Ukraine needs to use its advantages in logistics, geographical location, labor and natural resources, develop an industrial direction, introduce modern technologies, improve its energy independence and take an active part in integration processes. Finding compromises and political will allow Ukraine to successfully reform the socio-economic model and become a full member of the EU.

Pharmacokinetics-Pharmacodynamics Modeling for Evaluating Drug-Drug Interactions in Polypharmacy: Development and Challenges.

Polypharmacy is commonly employed in clinical settings. The potential risks of drug-drug interactions (DDIs) can compromise efficacy and pose serious health hazards. Integrating pharmacokinetics (PK) and pharmacodynamics (PD) models into DDIs research provides a reliable method for evaluating and optimizing drug regimens. With advancements in our comprehension of both individual drug mechanisms and DDIs, conventional models have begun to evolve towards more detailed and precise directions, especially in terms of the simulation and analysis of physiological mechanisms. Selecting appropriate models is crucial for an accurate assessment of DDIs. This review details the theoretical frameworks and quantitative benchmarks of PK and PD modeling in DDI evaluation, highlighting the establishment of PK/PD modeling against a backdrop of complex DDIs and physiological conditions, and further showcases the potential of quantitative systems pharmacology (QSP) in this field. Furthermore, it explores the current advancements and challenges in DDI evaluation based on models, emphasizing the role of emerging in vitro detection systems, high-throughput screening technologies, and advanced computational resources in improving prediction accuracy.