Interplay Of Dynamics Research Articles

From vocation to profession: multiple identities of Chinese management academics

The academic landscape in China has undergone a profound transformation, shifting from a spiritually rooted vocation to a model driven by managerial efficiency, catalyzed by market reforms that dismantled the traditional, centrally planned system. This seismic shift has forced scholars to adapt to a performance-oriented environment, leading to significant transformations in their professional identities. Contemporary literature, primarily centered on Western role-theory perspectives, often fails to capture the intricate cognitive dynamics that shape academic identities under the varied influence of power dimensions. This study addresses this gap by exploring how Chinese academics’ identities are constructed amidst a complex interplay of power dynamics, external changes, and internal motivations, moving beyond simplistic group-level categorizations. Employing an intersectional approach within a multidimensional organizational power framework, this research utilizes case study methods to probe deeply into the multiple identities of academics in the Business Management discipline across various Chinese higher education institutions. The study reveals a dynamic interplay among multiple power dimensions, including American research hegemony, industrialization of academic governance, self-regulation, and rebellion against ‘academic games’. These forces collectively shape distinct identity modules among Chinese academics: fanatic convert of American research, career survivor, diligent game player, and career retreater, each responding uniquely to the evolving academic pressures. This research significantly enhances our understanding of academic identity construction by extending beyond traditional role-based analyses to encompass a broader spectrum of cognitive processes. It highlights the nuanced intersectionality of academic identities, effectively integrating structuralist perspectives with personal agency. This comprehensive examination provides critical insights into the development of Management disciplines, university governance, and professional practices within the academic community in China.

Cereal Commerce: An Indian Trade Scenario at HS 4 Digit Level

India's cereal trade landscape is a complex interplay of production, export, and import dynamics, reflecting both domestic priorities and global market demands. Despite historical export restrictions on staples like wheat and rice, recent policy shifts have positioned India as a pivotal player in global cereal commerce. The present study aims to understand the Indian cereal production and trade significance at HS 4-digit level. Notably the results indicated that, India's cereal production has exhibited steady growth, with a Compound Annual Growth Rate (CAGR) of 0.044 per cent over the years. This growth trajectory, coupled with fluctuations in India's share of world cereal production (hovering around 10-11 %), underscores the country's consistent contribution to the global market. In terms of export composition, rice stands out as the dominant commodity, comprising a significant 76.42 per cent share of the total exported value, followed by wheat and maize. On the import front, India shows a strategic reliance on specific cereals like barley, oats, and maize, which collectively constitute over 90 per cent of the imported cereal value. This import pattern reflects targeted procurement strategies based on market needs and domestic consumption patterns. Examining trade partnerships, the United States emerges as a key exporter, while China features prominently as a significant importer of cereals. Other notable exporters include Argentina, Brazil, and Australia, contributing to a diverse distribution of cereal trade globally. The results imply that understanding product groups in specific can enhance the trade performance of any country. This diversity in trade partnerships highlights India's adaptability and its ability to navigate complex international markets. Overall, India's cereal trade dynamics demonstrate a blend of strategic production growth, export prioritization, and targeted import strategies, showcasing its pivotal role and significance in the global cereals market.

Starostniki na podeželju v 19. stoletju

Based on individual case studies and employing discourse analysis in Carniola, this study endeavours to transcend the existing theories that predominantly place the rural elderly within multigenerational familial structures. By delving into the intricacies of property transfer, the employment possibilities of individuals lacking assets, marital strategies, obstacles and dynamics, and the provision of care for elderly family members in rural areas, a nuanced understanding emerges. The present research reveals diverse strategies, identities, and configurations in the lifestyles and livelihoods of the rural elderly, which extend beyond conventional family-centric perspectives. By emphasising the intricate interplay of property dynamics, survival strategies, and communal solidarity, this article sheds light on the multifaceted life of the elderly in the countryside.

Density gradient effect on circulation patterns and mixing processes: Observations at the convergence front of a salt wedge, microtidal estuary

The convergence front in estuaries is a crucial area influenced by dynamic mixing processes which vary from one tidal cycle to another, with density gradients playing a key role in shaping circulation patterns. This significance is particularly pronounced in salt wedge estuaries, where discharge holds greater influence than tides. Despite this, there is a limited amount of research based on high-resolution in-situ data to analyze circulation and mixing processes affected by density gradients in the convergence front of a salt wedge estuary. In this study, continuous measurements of current velocities and CTD profiles were conducted over three tidal cycles to analyze the intratidal variability of circulation patterns (u, v, w) and mixing parameters in the convergence front. Stratification parameter (ηs) and Richardson numbers (RL and Ri) were calculated to analyze the mixing/stratification variability within a tidal cycle. The observations revealed a persistent Subsurface Velocity Maximum (SVM) in the longitudinal component, coinciding with density gradient increases > 4 kg m−3 along the water column. Similarly, lateral circulation patterns were influenced by those increases in density gradient, resulting in eastward-directed currents and the formation of two circulations cells. As expected in a salt wedge estuary, stratification occurs during flood and High Water (HW), when the density gradient increases due to intrusion of the salt wedge. Notably, in the Magdalena River estuary, when the discharge is below 3800 m3 s−1, the salt wedge remains consistently present irrespective of the tidal phase, resulting in a permanently stratified water column with ηs values between 1.60 – 1.95. It is expected that the steady presence of stratified conditions during periods of low discharge leads to an increased accumulation of sediments. These findings provide valuable quantitative insights into the complex interplay of density gradients, circulation patterns, and stratification dynamics in salt wedge estuaries.

Colossal anisotropic absorption of spin currents induced by chirality.

The chiral induced spin selectivity (CISS) effect, in which the structural chirality of a material determines the preference for the transmission of electrons with one spin orientation over that of the other, is emerging as a design principle for creating next-generation spintronic devices. CISS implies that the spin preference of chiral structures persists upon injection of pure spin currents and can act as a spin analyzer without the need for a ferromagnet. Here, we report an anomalous spin current absorption in chiral metal oxides that manifests a colossal anisotropic nonlocal Gilbert damping with a maximum-to-minimum ratio of up to 1000%. A twofold symmetry of the damping is shown to result from differential spin transmission and backscattering that arise from chirality-induced spin splitting along the chiral axis. These studies reveal the rich interplay of chirality and spin dynamics and identify how chiral materials can be implemented to direct the transport of spin current.

Muscle Activation Frequency Relationship with Cost of Transport at Increasing Walking Speed in Preliminary Study Reveals Interplay of Both Active and Passive Dynamics

Metabolic cost plays a critical role in gait biomechanics, particularly in rehabilitation. Several factors influence metabolic cost during walking. Therefore, this study aimed to examine the relationship between metabolic cost and muscle activity, focusing on the frequency of EMG signals during walking. We recruited nine participants (five male and four female, age range 20–48 years) who walked for four minutes at six different speeds (ranging from 1.8 to 5.9 mph). EMG data were collected from the dominant lower leg muscles, specifically the lateral gastrocnemius (GAS-L) and the anterior tibialis (AT). Oxygen respiration was measured using open-circuit spirometry. Energy expenditure was estimated as the cost of transport (COT). The EMG data were analyzed using frequency domain features, such as the area under the curve of power spectral density (PSD-AUC) and the maximal distance between two points before and after the peak of the power spectral density curve (MDPSD). The results indicated that PSD-AUC is a better measure than MDPSD for understanding the relationship between activation frequency and COT. PSD-AUC demonstrated an increasing curvilinear trend (R2 = 0.93 and 0.77, second order polynomial fit), but the AT displayed higher variability. MDPSD exhibited more nonlinearity (R2 = 0.17–28, second order polynomial fit), but MDPSD demonstrated statistically significant differences (p < 0.05, t-test independent) in frequency between the GAS-L (64–237 Hz) and AT (114–287 Hz) during slow walking. Additionally, the relationship between COT and PSD-AUC revealed a U-shaped curve, suggesting that high COT is a function of both active and passive dynamics during walking. These findings will be valuable in rehabilitating individuals who suffer from gait-related disorders, especially those related to muscle inefficiency.

A Pandemic's grip: Volatility spillovers in Asia-Pacific equity markets during the onset of Covid-19

The emergence of Covid-19 in late 2019 rapidly shattered the Asia-Pacific region (APR), a bastion of economic dynamism, and it became the epicenter of the global health crisis. This unprecedented pandemic not only triggered a public health catastrophe but also unleashed a financial storm, exposing vulnerability within the region's interconnected economies. This study identifies the factors driving volatility spillovers within Asian-Pacific financial markets during the initial wave of the Covid-19 pandemic (January 2020–February 2021). We analyze the interplay of pandemic transmission dynamics, government interventions, central bank policies, and socioeconomic variables. Our findings reveal a robust and persistent association between the rising number of Covid-19 cases per million and volatility spillovers. We introduce three novel determinants—the number of intensive care unit beds, population density, and the proportion of the elderly population—which significantly impact volatility transmission in response to new cases. Stringent government measures, such as travel bans and lockdowns, mitigate volatility spillovers. Conversely, central bank policies increase volatility spillovers. These insights contribute to a deeper understanding of financial market dynamics in the context of global health emergencies. This knowledge equips policy makers in the APR with valuable tools for navigating future crises.

Development of an Integrated Observation Data and Global Numerical Weather Prediction System-Based Rainfall-Runoff Forecasting Model as PJT-I’s Effort in Water Resources Disaster Mitigation

Given the vital role of water resources and their vulnerability to climate-driven disasters, especially floods and droughts, the need for effective disaster mitigation strategies in water resource management is evident. PJT-I, a key player in the industry, grapples with this challenge. To address it, PJT-I has embraced the Smart Water Management System (SWMS) platform and innovative enhancements in rainfall-runoff modeling, showcasing their dedication to bolstering real-time monitoring and predictive capabilities. These advances hold the promise of strengthening operational water resource management, spanning allocation and infrastructure operations, and are particularly relevant in the face of escalating extreme weather events. The study’s focus on the Sengguruh reservoir catchment area serves as an illustration, highlighting the creation of two hydrometric-based models: the AWLR Gadang model and the Sengguruh reservoir model. Their effectiveness is validated through data calibration and integration of GFS forecast data, enabling 120-hour forecasting. Rigorous assessment involving correlation, efficiency, determination, and error metrics provides insights into the models’ predictive capacities and limitations amid the dynamic interplay of rainfall-runoff dynamics.

Examining the Interplay of Global Public Investment, Fiscal Sustainability, and Economic Dynamics: A Comprehensive Analysis

This study searches the intricate relationship between public investment, fiscal sustainability, and economic dynamics, exploring their connections, theoretical foundations, empirical evidence, and policy implications. It highlights the central role of strategic public investment in driving economic growth, maintaining stability, and fostering inclusive development, examining various theoretical perspectives such as neo-classical growth theory, Keynesian economics, endogenous growth theory, new institutional economics, and political economy perspectives to understand how public investment shapes economic outcomes. By synthesizing empirical evidence, the analysis demonstrates the positive association between public investment and critical economic indicators like growth, fiscal sustainability, productivity, and employment. It emphasizes the importance of targeted public investment in infrastructure, education, healthcare, and innovation in promoting economic prosperity and societal advancement. Moreover, drawing on case studies from diverse regions, the study provides insights into effective strategies for public investment and infrastructure development, highlighting their impacts and challenges. Policy recommendations stemming from the findings advocate for a holistic approach that includes strategic investment, fiscal responsibility, efficiency enhancement, inclusivity promotion, and international cooperation. These recommendations underscore the need to align public investment strategies with national development priorities, ensure fiscal sustainability through prudent management, enhance investment efficiency, foster inclusivity, and leverage global partnerships to tackle common challenges. By adopting these recommendations, policymakers can pave the way for sustainable development and prosperity, ensuring that public investment acts as a driver for positive economic and social change.

A Study on Evolution of Adani Group of Industries- It's Resilience in Indian Industries

This study explores the evolution and resilience of the Adani Group within the Indian industrial landscape. Through an analysis of financial performance and market dynamics, the study examines the group's trajectory, challenges, and strategies for sustaining growth. Notably, the Adani Group has demonstrated robust growth and profitability, marked by revenue increases and enhanced asset utilization. However, concerns arise regarding the sustainability of this growth, given the escalating reliance on debt financing, as indicated by the rising debt-to-equity ratio. To mitigate risks and ensure long-term viability, the group must strike a balance between pursuing growth opportunities and maintaining financial stability. Strategies such as cost reduction, operational optimization, revenue diversification, and debt restructuring are vital for achieving this balance. The Adani Group stands at a critical juncture, facing challenges amidst strong growth. The company's stock performance reflects a mixed picture, with some stocks struggling to recover while others experience remarkable rebounds. Although most stock prices have not fully recovered from the impact of the Hindenburg report, there is observable growth post-implementation of strategic initiatives. The varying trajectories of Adani Group's stocks underscore the complex interplay of market dynamics and investor sentiment. Moving forward, it is imperative for the group to continue implementing effective strategies to nullify the effects of the Hindenburg report and ensure sustained growth while mitigating financial risks.

A Photoswitchable Metallocycle Based on Azobenzene: Synthesis, Characterization, and Ultrafast Dynamics.

The novel photoswitchable ligand 3,3'-Azobenz(metPA)2 (1) is used to prepare a [Cu2(1)2](BF4)2 metallocycle (2), whose photoisomerization was characterized using static and time-resolved spectroscopic methods. Optical studies demonstrate the highly quantitative and reproducible photoinduced cyclic E/Z switching without decay of the complex. Accordingly and best to our knowledge, [Cu2(1)2](BF4)2 constitutes the first reversibly photoswitchable (3d)-metallocycle based on azobenzene. The photoinduced multiexponential dynamics in the sub-picosecond to few picosecond time domain of 1 and 2 have been assessed. These ultrafast dynamics as well as the yield of the respective photostationary state (PSSZ = 65 %) resemble the behavior of archetypical azobenzene. Also, the innovative pump-probe laser technique of gas phase transient photodissociation (τ-PD) in a mass spectrometric ion trap was used to determine the intrinsic relaxation dynamics for the isolated complex. These results are consistent with the results from femtosecond UV/Vis transient absorption (fs-TA) in solution, emphasizing the azobenzene-like dynamics of 2. This unique combination of fs-TA and τ-PD enables valuable insights into the prevailing interplay of dynamics and solvation. Both analyses (in solution and gas phase) and quantum chemical calculations reveal a negligible effect of the metal coordination on the switching mechanism and electronic pathway, which suggests a non-cooperative isomerization process.

Heat transfer simulation of reline flowing in an elliptic shaped duct: A deep eutectic solvent

Deep Eutectic solvents have emerged as promising alternatives to conventional solvents due to their unique properties and applications. The flow of deep eutectic solvents in various industrial processes has garnered significant attention due to their versatile applications in fields ranging from chemical engineering to energy storage. This study presents a comprehensive mathematical model aimed at elucidating the intricate behavior of eutectic solvent flow within an elliptic duct, a geometric configuration relevant to many real-world systems. In this article, the deep eutectic solvent is composed of choline chloride–urea and is also called Reline. The proposed mathematical model accounts for the complex interplay of fluid dynamics, thermodynamics, and elliptic duct geometry. Key components of the model include the Navier-Stokes equations, which describe the fluid flow, coupled with heat transfer equations to account for temperature variations within the system. The model also considers the phase change behavior of the eutectic solvent, which may exhibit solidification or crystallization phenomena under certain conditions. Numerical simulations and analytical solutions are employed to investigate various aspects of eutectic solvent flow within elliptic ducts, such as velocity profiles, pressure distributions, temperature gradients, and phase transition phenomena. The study explores the influence of key parameters, including the Reynolds number, the aspect ratio of the duct, and the thermophysical properties of the eutectic solvent, on the system’s behavior. From the results, it was clearly observed that the velocity at the narrow region decreased as the pressure raised and the Reynold’s number profile indicated the presence of turbulent flow behavior.

Green transition and macroeconomic stabilization

This paper looks into the crucial macroeconomic feedback mechanisms emerging from the interplay among the goods market, the labor market, the financial sector, and monetary policy, particularly in the context of transitioning towards a climate-neutral economy. The investment decisions of firms, pivotal in this interaction, can trigger feedback loops with potentially destabilizing effects, underscoring the critical role of investment within the complex interplay of market and sector dynamics in the macroeconomy. Governmental intervention is highlighted as a key factor in steering the green transition while preserving economic stability. A carbon tax on fossil fuel consumption is proposed as a primary tool for facilitating this green transition. Our investigation employs a disequilibrium model of monetary growth, a la Keynes-Metzler-Goodwin (KMG), incorporating a portfolio perspective across three asset markets - money, bonds, and stocks. This framework allows for an in-depth analysis of how a carbon tax influences real production, inflation, and inequality during the transition. Our findings indicate that imposing a carbon tax on production does not markedly disrupt economic stability, as long as the carbon pricing and its growth rate remain within low bounds.

Fundamentals and Applications of Surface Wetting.

In an era defined by an insatiable thirst for sustainable energy solutions, responsible water management, and cutting-edge lab-on-a-chip diagnostics, surface wettability plays a pivotal role in these fields. The seamless integration of fundamental research and the following demonstration of applications on these groundbreaking technologies hinges on manipulating fluid through surface wettability, significantly optimizing performance, enhancing efficiency, and advancing overall sustainability. This Review explores the behavior of liquids when they engage with engineered surfaces, delving into the far-reaching implications of these interactions in various applications. Specifically, we explore surface wetting, dissecting it into three distinctive facets. First, we delve into the fundamental principles that underpin surface wetting. Next, we navigate the intricate liquid-surface interactions, unraveling the complex interplay of various fluid dynamics, as well as heat- and mass-transport mechanisms. Finally, we report on the practical realm, where we scrutinize the myriad applications of these principles in everyday processes and real-world scenarios.

Integrating FinTech with Industry 4.0 for sustainable mineral resource management: Exploring the interplay of technology, regulation, and economic dynamics

In the field of global geology, the intricate relationship between Earth’s mineral resources and their pivotal role in fostering sustainable human development is a fundamental area of scholarly investigation. This research thoroughly explores the complex dynamics between technological progress, financial innovations, and regulatory structures in the context of sustainable management of mineral resources. Covering the period from 2000 to 2022 and including key international stakeholders in the mineral industry, the study employs a Panel Autoregressive Distributed Lag (ARDL) approach to assess the effects of Industry 4.0 technologies (IND), Financial Technology (FinTech), Regulatory Quality (RQ), Energy Efficiency (EF), and per capita Gross Domestic Product (GDP) on Mineral Resource Capital (MRC). The results reveal a substantial, positive long-term influence of Industry 4.0 on Mineral Resource Capital, underscoring the essential role of technology. Conversely, FinTech exhibits a nuanced association with Mineral Resource Capital, indicating the necessity for its careful incorporation. The analysis highlights the significance of regulatory quality in the sustainable management of resources, while the negative impact of energy efficiency points towards the need for more sustainable industrial practices. Through variance decomposition and impulse response analysis, the study delineates the responsiveness of Mineral Resource Capital to various economic fluctuations, with Granger causality tests offering additional insight into these complex interactions. This investigation contributes significantly to the existing scholarly literature and offers crucial perspectives for policy-makers and industry participants, advocating for a cohesive strategy that effectively harnesses technological and financial innovations to enhance sustainability and economic resilience in the mineral sector.

Examining and mitigating racism in nursing using the socio-ecological model.

Racism in nursing is multifaceted, ranging from internalized racism and interpersonal racism to institutional and systemic (or structural) elements that perpetuate inequities in the nursing profession. Employing the socio-ecological model, this study dissects the underlying challenges across various levels and proposes targeted mitigation strategies to foster an inclusive and equitable environment for nursing education. It advances clear, context-specific mitigation strategies to cultivate inclusivity and equity within nursing education. Effectively addressing racism within this context necessitates a tailored, multistakeholder approach, impacting nursing students, faculty, administration, professional organizations, and licensing and accrediting bodies. This all-encompassing strategy recognizes that the interplay of interpersonal dynamics, community culture, institutional policies, and broader societal structures intricately shapes individual experiences. Nurses, nurse leaders, educators, organizations, and policymakers can work together to create a more equitable and inclusive nursing profession by targeting each of these levels. This transformational process can yield positive outcomes across various environments where nurses learn, work, and serve people and enable the demographic composition of nurses to better match the populations served.

Comprehensive analysis of land use and cover dynamics in djibouti using machine learning technique: A multi-temporal assessment from 1990 to 2023

Understanding land use and land cover (LULC) dynamics in semi-arid regions is vital for unraveling complex environmental processes and resource management. This study delves into the intricate interplay of land patterns and resource dynamics, offering indispensable insights into the environmental repercussions of these changes. The study aims to quantify land use categories in Djibouti's semi-desert region using remote sensing. It analyzes temporal changes and evaluates Random Forest (RF) algorithms for land use classification. Through meticulous quantification and comprehensive temporal analysis, the research contributes significantly to remote sensing and environmental science by enhancing understanding of land use dynamics and informing sustainable land management practices. Leveraging machine learning supervised classification on the Google Earth Engine (GEE) platform using Landsat data spanning four time periods (1990, 2002, 2012, and 2023), alongside spectral indices and Digital Elevation Model (DEM) data, our study achieves unprecedented insights. Our findings reveal a significant landscape transformation, delineating seven major land cover classes: mangroves, bushes, farmland, built-up areas, water bodies, barren land, and salt plains. With overall accuracy ranging from 89 % to 95 %, our assessments demonstrate significant changes in land use types over the studied period. Notably, mangroves, bushes, farmland, and salt areas witnessed declines, while built-up areas, water bodies, and barren lands expanded. This research underscores the pivotal role of remote sensing in monitoring long-term land use changes and their ecological impacts. By harnessing technological advancements, our study empowers stakeholders to make informed decisions for sustainable resource management and environmental conservation in semi-arid landscapes.

Foreign interference, military aid to Egypt, and the future of US-Egypt relations

Foreign interference in the affairs of sovereign states, particularly through military aid, has been a longstanding feature of international relations. In the case of Egypt, military aid from foreign powers, notably the United States, has played a significant role in shaping domestic politics, security dynamics, and bilateral relations. This article provides an analytical examination of foreign interference and military aid to Egypt, with a focus on its implications for the future of U.S.-Egypt relations. Through a comprehensive review of literature and analysis of recent developments, this article argues that while military aid has bolstered the strategic partnership between the United States and Egypt, it has also fueled tensions, raised human rights concerns, and contributed to regional instability. Looking ahead, the future of U.S.-Egypt relations will be shaped by a complex interplay of geopolitical dynamics, domestic politics, and evolving security challenges, requiring a nuanced and strategic approach to navigate.

Temporal-spatial dependencies enhanced deep learning model for time series forecast

Forecasting financial time series can be challenging because of the inherent complex interplay of temporal and spatial dynamics in the data. Specifically, time series for different geographical locations often have different yet inter-dependent patterns; even for the same-location time series, patterns can vary over time. Therefore, an accurate forecasting model has to take both temporal and spatial patterns into consideration. This study proposes a new model named Temporal-Spatial dependencies ENhanced deep learning model (TSEN), which consists of multiple RNN-based layers and an attention layer: each RNN-based layer learns the temporal pattern of a specific time series at the presence of multivariate exogenous series, and the attention layer learns the spatial correlative weight and obtains the global representations simultaneously. We illustrate the use of TSEN in forecasting household leverage time series in China. We show that clustering and choosing correlative series are necessary steps to obtain accurate forecast. The results show that the proposed method captures the temporal-spatial dynamics of household leverage and generates more accurate prediction than traditional methods.

Global South Responses to China’s BRI Projects: A Case Study of Jakarta-Bandung High-Speed Railway Project

China's rise as a global power in the 21st century, marked by its economic growth and political influence, has been exemplified through initiatives like the Belt and Road Initiative (BRI). The BRI has extended China's geoeconomic and geopolitical influence across Asia, Africa, Latin America, and Europe. While existing literature predominantly focuses on China's actions, this study shifts the spotlight to Global South nations' responses and strategic policies, particularly Indonesia, in the context of China's BRI projects. Drawing upon in-depth interviews, literature review, and social media analysis, this research examines how Indonesia has actively shaped the Jakarta-Bandung High-Speed Railway project within the BRI framework to pursue its objectives and interests. The study's findings highlight that the Indonesian government, in alignment with the principles of the BRI, is actively utilizing the Jakarta-Bandung High-Speed Railway project to advance its New Developmentalism approach under President Jokowi's administration. This approach embodies a narrow perspective of development by focusing on infrastructure and economic growth while ignoring political and environmental considerations. Concurrently, the project has encountered resistance from local communities, underscoring the contrasting interests between the government and the public and adding a nuanced layer to the dynamics of the BRI. This case study sheds light on the complex interplay of interests and power dynamics within the context of China's BRI projects in the Global South. It underscores the importance of considering the responses and agency of host nations and local communities in shaping the outcomes of BRI initiatives.