Solid-solid phase change films with intrinsic flexibility and photo-thermal conversion capabilities for human thermal management

Association between Type D personality and psychosocial adjustment in AMI patients: Mediating role of psychological flexibility and perceived stress.

Sea-island polyethylene glycol/carboxylated styrene-butadiene rubber phase-change films enabled by ion-triggered inverse nanoencapsulation for flexible thermal management

The article analyses the current state and prospects of development of domestic and international management. The main trends in management are considered, in particular, the impact of globalisation processes on business operations, the importance of technological innovations for improving the efficiency of management decisions, as well as the challenges of strategic and resource management in a highly competitive environment and limited resources. The main problems of management transformation in Ukraine and the key factors influencing its development are highlighted: the formation of organisational culture, improvement of communications, strategic management and social responsibility of business. Special attention is paid to the importance of flexibility and creativity of managers for successful adaptation to dynamic changes.

Abstract The restaurant industry has undergone rapid digital transformation, requiring web platforms that are fast, scalable, secure, and cost-efficient. Traditional monolithic web architectures struggle to meet these evolving demands, particularly for restaurant websites that must handle menu management, online reservations, and customer-facing content simultaneously. This research paper examines the JAMstack (JavaScript, APIs, and Markup) architecture as a modern solution for building restaurant web applications with a decoupled frontend-backend approach. Through analysis of performance benchmarks, developer experience, and real-world implementation patterns, this paper demonstrates that JAMstack-based restaurant websites achieve significantly better Core Web Vitals scores, reduced server costs, and improved content management flexibility compared to traditional WordPress or PHP-based solutions. The paper also explores how headless CMS platforms, third-party API integrations for reservations and payments, and static site generation contribute to building robust, maintainable restaurant digital presence. Keywords: JAMstack, Decoupled Architecture, Restaurant Website, Static Site Generation, Headless CMS, Web Performance, API Integration, Frontend Development

Insect resistance management (IRM) for Bt corn (Zea mays L.) has traditionally emphasized grower compliance with non-Bt refuge requirements. However, this framing overlooks the broader agricultural system that shapes refuge outcomes, including the US Environmental Protection Agency, seed companies, trait providers, seed dealers and agricultural retailers, and Cooperative Extension. As a result, refuge outcomes are often treated as individual behavioral failures rather than system-level design challenges. We argue that sustaining Bt susceptibility requires shifting from a grower-centric compliance model to a systems perspective in which refuge outcomes are co-produced by multiple actors. Within this sociological context, we then situate a recent US Environmental Protection Agency proposal requiring growers to purchase non-Bt corn seed with Bt corn seed as an example of how policy can reshape responsibility for refuge implementation. While this approach moves refuge planning earlier in the decision process, it does not fully address the economic, logistical, and institutional constraints that influence how refuge is ultimately implemented. We identify opportunities to improve IRM through coordinated system-level interventions, including integrating social science into policy design, improving transparency of non-Bt hybrid performance, aligning non-Bt seed offerings around a smaller set of hybrids with flexible management traits, and exploring system-level design options, such as track-and-trace mechanisms, to ensure that non-Bt seed is sold and distributed in appropriate quantities. Together, these approaches emphasize shared stewardship to sustain Bt susceptibility as a common-pool resource, rather than reliance on individual grower compliance.

The article is devoted to the analysis of the problems and opportunities of public administration in the healthcare sector of Ukraine with an emphasis on the practical dimension of the implementation of management decisions. The role of public administration in ensuring the accessibility and quality of medical services is considered, and a key gap between declared policies and their implementation at the level of medical institutions is identified. Based on the analysis of modern scientific research and regulatory documents, the main approaches to managing the healthcare system are identified, including financial mechanisms, digitalization and decentralization. Particular attention is paid to the impact of reforms, European integration processes and crisis challenges on the functioning of the healthcare system. The article emphasizes that the effectiveness of public administration largely depends on its ability to take into account the real conditions of medical practice. Based on the practical experience of a doctor, key challenges are analyzed, in particular, overload of medical workers, administrative pressure, uneven access to services and limited resources. It is determined that existing management mechanisms do not always correspond to clinical reality, which negatively affects the quality of medical care. The main directions of improving public administration are outlined, among which the key is to strengthen the role of practical experience of medical professionals in the process of policy formation, which allows to increase their realism and effectiveness. Special attention is paid to increasing the autonomy of health care institutions, which creates opportunities for more flexible resource management, adaptation to local needs and increasing the efficiency of activities at the level of specific medical institutions. The feasibility of transitioning to more flexible, adaptive and practice-oriented models of public administration is emphasized, which are able to promptly respond to changes, take into account the real conditions of the system's functioning and ensure a balance between management requirements and the needs of patients and medical professionals.

Software-Defined Networking (SDN) separates data and control planes for flexible management, but large-scale networks need multi-controller collaboration to avoid single-point failures, leading to the NP-hard Controller Placement Problem (CPP). This paper proposes a Topology-based Discrete Water Wave optimization algorithm (TDWWO). It discretizes traditional WWO for 2D geographic coordinate topology graphs, integrating node location and connection info. By using WWO’s propagation, breaking and refraction operators, it balances exploration and exploitation for optimal controller deployment. Notably, when discretizing WWO, node coordinate info is stored via TDtree and applied in propagation-stage searches. A hash table and controller number array accelerate calculations by eliminating redundant traversal. To verify the effectiveness of the TDWWO algorithm, experiments are conducted on five real topologies, and comparisons are made with multiple standard and state-of-the-art algorithms as well as the global optimal solution. The results show that TDWWO outperforms four heuristic algorithms, reducing the SC-avg and SC-worst latencies by up to 65.14% and 31.99%. It ensures calculation stability within 7.28% margin for large-scale topologies and maintains an error rate [Formula: see text]1.18% versus the global optimal solution.

Developing efficient electromagnetic interference (EMI) shielding materials that are electrically insulating and reflection-suppressed remains a fundamental challenge. Here, we report a lightweight and flexible bacterial cellulose/intercalated NbSe2/bacterial cellulose sandwich-structured composite film that decouples electromagnetic attenuation from electrical conductivity. Electrochemical intercalation endows few-layer NbSe2 with expanded interlayer spacing and an accordion-like architecture, enabling strong electromagnetic absorption via multiple internal reflections. Bacterial cellulose provides an insulating surface and suppresses surface reflection via impedance matching, allowing more electromagnetic waves (EMWs) to be absorbed in NbSe2. The sandwich film with a density of ∼4 g/cm3 and thickness of ∼60 μm achieves broadband EMI shielding efficiency, exceeding 35 dB across 8.2-40.0 GHz while maintaining a reflection of less than 10 dB and ultralow electrical conductivity of ∼10-3 S·m-1, effectively preventing electromagnetic pollution and electrical short circuits. The robust cellulose framework imparts excellent flexibility and environmental stability. Moreover, the layered architecture enables effective blocking of wireless charging signals and pronounced infrared camouflage. This work establishes a general structural design strategy for safe, flexible and multifunctional electromagnetic management and infrared camouflage materials.

The article discusses the main tools of international management, which are important components of transnational corporations (TNC) development in globalization. Key instruments such as strategic planning, adaptation of business models to local markets, management of global supply chains, currency risk hedging, and use of modern technologies have been identified. Examples of well-known TNCs such as McDonald’s, Toyota, and Unilever are given, successfully using these tools to strengthen their positions in the world market. The focus is on the importance of innovation and flexibility in international management to overcome global challenges and ensure sustainable growth. The article studies the challenges of transnational corporations in international operations management, including cultural, political, economic, and environmental factors. Particular attention is paid to the role of financial instruments, such as international financing, currency fluctuation management, and tax optimization, which allow TNCs to maintain financial stability in global markets. The prospects for further development of international management, including the latest digital technologies integration and environmental sustainability in TNCs’ business strategies, are analyzed. It is proved that the successful use of international management is a key factor for ensuring the competitiveness and long-term development of transnational corporations in the modern global economy.

The article presents a comprehensive study of structural elements and functional mechanisms aimed at strengthening the market positions of modern logistics operators operating in an extremely volatile and unstable environment. The thesis is substantiated that in the era of global turbulence and permanent crises, traditional, linear risk management has exhausted its potential and must undergo a fundamental transformation. Instead of a reactive response to threats, the implementation of a holistic, integrated system for ensuring operational stability, which covers all levels of supply chain management, is proposed. The essence of the definition of “operational stability” is revealed. It is interpreted not simply as the passive ability of a logistics system to withstand external shocks or aggressive environmental factors, but as the dynamic ability of a business entity to promptly restore its functional integrity and target performance indicators without a critical loss of economic efficiency. Particular attention is paid in the work to the innovative concept of “antifragility”. Unlike simple viability, antifragility allows logistics companies not only to survive in times of chaos, but also to use the state of strategic uncertainty as a powerful incentive for internal evolution, cost optimization and improvement of key business processes. It is determined that adaptability is a fundamental property of modern flexible management, which ensures the viability of a logistics node. It is proven that deep integration of digital tools, cloud technologies and predictive analytics systems into the architecture of the logistics system is an alternative way to minimize operational losses. The use of big data (Big Data) allows you to form predictive models of market behavior, which ensures the long-term strategic competitiveness of the company even during peak periods of economic instability. The conclusions formed in the article create a theoretical basis for the development of new strategies of proactive management in the logistics sector of Ukraine.

As water resources are becoming increasingly scarce in the North China Plain, irrigation strategies that simultaneously improve grain yield and reduce irrigation water input are needed for winter wheat (Triticum aestivum L.) production. Current irrigation decision rules are based either on fixed soil moisture thresholds or on evapotranspiration (ET)-based ratios applied uniformly across the growing season, limiting their flexibility for growth stage-specific irrigation management. In this study, a multi-objective simulation optimization framework was developed to jointly optimize soil moisture lower control limits (irrigation trigger thresholds) and evapotranspiration-based irrigation replenishment ratios across key winter wheat growth stages. The framework integrated the AquaCrop-OSPy crop model with the PyFAO56 soil moisture balance, irrigation scheduling model and the NSGA-II evolutionary optimization algorithm. A field experiment was conducted during the 2024–2025 growing season in Laoling City, Shandong Province, China, employing a four-dense–one-sparse strip cropping pattern with two irrigation treatments: T1 (subsurface sprinkler irrigation) and T2 (shallow subsurface drip irrigation). The AquaCrop-OSPy model was calibrated and validated using measured canopy cover, aboveground biomass, grain yield, and soil moisture content in the 0–60 cm soil layer. Simulated canopy cover and grain yield showed good agreement with observations, with the coefficient of determination (R2) ranging from 0.87 to 0.94. For grain yield, the normalized root mean square error (NRMSE) ranged from 2.24% to 3.75%, and the root mean square error (RMSE) ranged from 0.29 to 0.54 t·ha−1. For aboveground biomass, R2 was 0.99, while RMSE ranged from 1.02 to 1.11 t·ha−1, and NRMSE ranged from 14.25% to 15.49%. The PyFAO56 irrigation strategy model simulated average root-zone soil-moisture dynamics with satisfactory accuracy, with an R2 of 0.86 and an RMSE of 5%. Multi-objective optimization (maximizing yield while minimizing irrigation volume) generated 23 Pareto-optimal irrigation strategies, with irrigation volumes ranging from 51 to 128 mm, corresponding yields ranging from 9.8 to 10.8 t·ha−1, and irrigation water use efficiency (IWUE) ranging from 0.08 to 0.19 t·ha−1·mm−1. Correlation analysis within the Pareto set indicated that soil-moisture control lower limits during the regreening–jointing stage and higher soil-moisture control lower limits during the flowering–maturity stage were key controlling factors for achieving high yields and irrigation water use efficiency. The Entropy-Weighted Ranked Minimum Distance method identified an optimal irrigation scheme involving two irrigations (one at the end of the jointing stage and another at the beginning of the grain filling stage) involving an irrigation depth of 75 mm, achieving a simulated yield of 10.4 t·ha−1 and an IWUE of 0.16 t·ha−1·mm−1. The proposed AquaCrop-PyFAO56-NSGA-II framework provides a flexible, process-based workflow for jointly optimizing irrigation control thresholds and evapotranspiration-based irrigation replenishment ratios across different winter wheat growth stages. Under the monitored conditions of the 2024–2025 wet season, the framework identified a two-irrigation strategy that balanced grain yield and irrigation input. This study should, therefore, be regarded as a proof-of-concept evaluation conducted in a well-instrumented single-site field setting rather than as a universally transferable recommendation. Because model calibration, within-season validation, and optimization were all based on one wet growing season at one site, the derived stage-specific thresholds, Pareto front, and S5 recommendation are most applicable to hydro-climatic conditions similar to the study year and should be further tested across contrasting year-types and locations before broader extrapolation.

Backgrounds: Corporate governance mechanisms and firm financial characteristics are key determinants of corporate performance, with profitability proxounded by Return on Equity (ROE). Corporate performance is shaped by a constellation of governance attributes, encompassing board architecture, ownership configuration, the robustness of internal control frameworks, and the firm’s leverage. Objectives: This study examines the effect of corporate governance mechanisms and financial characteristics on profitability. Specifically, it investigates the roles of Non-Compliance Index, Director Share Ownership, Remuneration, Internal Controls, Extra Committees, Board Independence, Board Size, Leverage, and Liquidity in shaping ROE. Methodology: A quantitatively oriented research design was implemented, utilizing archival financial disclosures as secondary data sources. The empirical estimation relied on multiple linear regression performed on a balanced panel dataset encompassing 500 firm-year observations, with classical assumption tests and hypothesis testing ensuring model robustness. Findings: Simultaneously, governance mechanisms and financial characteristics significantly affect ROE. Partially, Director Share Ownership and Board Size positively influence ROE, while Board Independence has a negative effect. Non-Compliance Index, Remuneration, Extra Committees, Leverage, and Liquidity were not significant. Internal Controls could not be analyzed due to lack of data variation. Conclusions: Not all governance mechanisms directly enhance profitability. Excessive board independence may constrain managerial flexibility, while effective board size and managerial ownership can improve performance. Limitations include a low R² and the use of ROE as the sole performance metric. Future studies should explore alternative performance measures and additional governance variables. Findings provide guidance for designing governance structures that promote profitability, investor confidence, and sustainable business practices.

Abstract Metaverse technologies, specifically digital twins (DT) and blockchain, are increasingly influencing the evolution of supply chain management (SCM). This study explores how these technologies support adaptability, flexibility, and resilience in complex environments. Using a mixed-method approach incorporating BERTopic modeling, the research identifies four thematic areas: real-time operational optimization via DTs; immersive workforce training through AR/VR; transparency improvements via blockchain; and Industry 5.0 technological trends. The result indicated the DTs in developing flexible, adaptive supply chains by facilitating predictive analytics, dynamic scenario planning, and stakeholder coordination. Integrated with machine learning and blockchain, DTs help optimize responsiveness, collaboration, and reconfiguration strategies, core principles of flexible systems management. The study further applies the antecedents–decisions–outcomes (ADO) framework to propose an outline for further research avenues and practice, grounded in three key questions focusing on how metaverse technologies enhance flexibility, support collaboration, and advance the sustainability–resilience nexus. The analysis also identifies governance, scalability, and ethical implementation as persistent challenges. Methodologically, the work demonstrates how topic modeling can support theory development in digitally transformed organizational systems. Expected outcomes include greater operational agility, improved sustainability alignment, and enhanced trust across supply chain networks. These insights contribute to ongoing efforts to build digitally enabled, ethically governed, and dynamically flexible supply chains aligned with United Nations Sustainable Development Goals (SDG) such as SDG 8 (work), SDG 9 (innovation), SDG 12 (consumption), SDG 13 (climate), and SDG 16 (governance).

Workflow management systems (WMS) are essential for creating and automating multi-step data analyses and ensuring the reproducibility of biological insights. Although numerous WMS solutions exist, few provide deep integration of command-line software with the R and Bioconductor ecosystems, where a substantial portion of statistical modeling and downstream scientific analysis is performed by a large user base. systemPipeR addresses this gap by offering a unified environment that links R-based analytical steps with command-line tools through a standardized workflow specification. It enables the design and execution of reproducible workflows on both local and high-performance computing systems, while allowing users to select the most appropriate R or command-line tool for each analysis step. The latest version introduces a fully redesigned architecture that streamlines workflow construction, execution, monitoring, and reporting. Key enhancements include a flexible workflow management class object, integration of the Common Workflow Language (CWL), formal declaration and standardized execution of both R and command-line steps, utilities for metadata management, and automated generation of scientific and technical reports. Together, these advances establish systemPipeR as a general-purpose R-based WMS for building and executing end-to-end workflows for reproducible analysis of complex data in genomics and other data-intensive fields. The software is distributed as a free open-source Bioconductor package (https://bioconductor.org/packages/systemPipeR).

The research aims to analyze the influence of macroeconomic factors and the price of Bitcoin on the growth of stock market value in Viet Nam. The VN-Index is used to represent the growth of Vietnam's stock market value because the capitalization of the HOSE exchange accounted for over 93.3% of the total market capitalization at the end of 2023. The primary macroeconomic variables examined include Industrial Production Growth, Export Turnover Growth, Inflation, Money Supply Growth, and Foreign Direct Investment. Utilizing an Autoregressive Distributed Lag (ARDL) model on a time-series dataset from 2011 to 2023, the estimation results indicated that the Bitcoin price, Export Turnover Growth, Money Supply, and FDI all exert a positive influence on the VN-Index in both the short and long run. Conversely, Industrial Production Growth shows a negative impact across both time horizons. Inflation, measured by the Consumer Price Index, positively affects the market in the short run but proves to be statistically insignificant in the long run. Based on these findings, the research proposed several policy implications, such as completing the legal framework for cryptocurrencies, enhancing market transparency to reduce speculation, promoting exports, adhering to targeted inflation control, implementing flexible money supply management, and improving procedures to better attract FDI.

ASB-TDM: Towards flexible and user-friendly transportation demand management in polycentric metropolitan areas

Projected impacts of climate change on the spatial distribution and habitat preference of tropical tuna in the Pacific Ocean.

This scientific article is devoted to a comprehensive study of the theoretical and conceptual principles of forming an investment strategy for enterprise development under conditions of systemic transformation of the modern economy and increasing uncertainty in the external environment. The relevance of the study is substantiated by the need to find new tools to ensure the viability of economic entities amid military aggression, financial instability, technological shifts, and structural imbalances. It is demonstrated that the investment strategy is a key instrument for long-term enterprise resilience, as investment decisions have a delayed effect over time and shape the development trajectory of an enterprise for an extended period. The study substantiates that moving from fragmented decisions to systematic management of investment development allows alignment of strategic goals with actual resource constraints and the level of risk. A structurally logical algorithm for developing an investment strategy has been created, which reflects the step-by-step logic from assessing internal potential and diagnosing the external environment to monitoring and strategically adjusting investment decisions. The article performs a decomposition of the integral strategic goal into a system of measurable intermediate objectives, among which the core ones are ensuring financial stability, the quality of the investment portfolio, innovation and technological renewal, and alignment with the principles of sustainable development. The proposed approach involves implementing adaptive solutions that neutralize the destructive effects of uncertainty and ensure long-term growth of the enterprise’s market value. It is concluded that the modern investment strategy transforms into a flexible adaptive management system, where the enterprise’s ability to withstand macroeconomic and security shocks becomes a key factor.

The article examines the transformation of enterprise management systems under the influence of innovative technologies in the context of digitalization. It is substantiated that the widespread adoption of digital platforms, automated management systems, big data analytics, and intelligent technologies significantly changes not only management tools but also the content, structure, and logic of managerial decision-making. Traditional management approaches based on hierarchical structures and rigid procedures are gradually losing their effectiveness, which necessitates the transition to flexible, integrated, and adaptive management systems. The study proves that the effectiveness of innovative technologies is determined not only by the level of their implementation but primarily by the degree of their integration into a holistic management system. Fragmented digitalization without appropriate transformation of managerial approaches leads to inconsistencies in business processes, reduced efficiency, and incomplete realization of technological potential. In this regard, the paper systematizes the transformation of key elements of enterprise management systems and identifies factors that constrain their effective development. Particular attention is paid to the substantiation of directions for improving enterprise management systems, including the integration of information flows within a unified digital environment, the development of data-driven management, the reorganization of managerial processes in accordance with digital capabilities, and the enhancement of digital competencies of management personnel. The practical implementation of these directions involves a phased transformation of management systems, taking into account organizational, informational, and technological changes. The results obtained have practical significance and can be used by enterprises to improve management efficiency, enhance the quality and speed of decision-making, ensure coordination of management processes, and increase adaptability to a dynamic external environment in the context of digital transformation.