External Dynamics Research Articles

Human Resource Development Strategy At The Batangkaluku Agricultural Training Center In Gowa District

Human resource development (HRD) in public organizations, including the Batangkaluku Agricultural Training Center, is crucial for achieving success and effectiveness. Technology, government policies, and other external dynamics are factors that influence HRD strategies. This research aims to identify alternative HRD strategies that are suitable for the organization's needs and potential. Through SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis and QSPM (Quantitative Strategic Planning Matrix), this research presents an overview of the organization's internal and external conditions as well as alternative strategies that can be adopted. The findings of this research contribute to the HRD literature and provide practical guidance for public organizations to formulate focused and relevant strategies. The conclusion of this research outlines the results of IFAS and EFAS, which yield several alternative strategies, such as developing the competence and excellence of the BBPP in agricultural workforce training, being responsive to the needs of the agricultural sector with training programs, actively promoting training programs and expanding partnership networks, and establishing a monitoring and evaluation system, with the third strategy showing the highest score in QSPM.

A Methodological Benchmark in Determining the Urban Growth: Spatiotemporal Projections for Eskişehir, Türkiye

Urban growth changes spatial uses over time due to different dynamics. These processes cause many physical, environmental, and socioeconomic problems, such as climate change, pollution, and population-related events. Therefore, it is essential to predict future urban expansion to produce effective policies in sustainable urban planning and make long-term plans. Many models, such as dynamic, statistical, and Cellular Automata and Markov Chain (CA-MC) models, are used in geographic information system (GIS) environments to meet the high-performance requirements of land use modeling. This study estimated the growth of settled areas in Eskişehir city center using models developed using two different methods. In this context, settled areas in the city center were examined within the scope of 1990–2018, and the growth areas of settled areas in 2046 were predicted using the CA-Markov method in Model 1: Quantum GIS (QGIS) MOLUSCE plugin and Model 2: IDRISI Selva. While settled areas are continuously increasing, other urban areas are decreasing. Model 1 predicts an increase of 1195 ha in settled areas by 2046, while Model 2 predicts an increase of 45,022 ha. At the same time, it is concluded that settled areas will grow in a central location in Model 1, while they will spread in an east-west extension in Model 2. The study results show that QGIS-based modeling predicts more limited spatial growth than IDRISI Selva. The research interprets growth in terms of the staging of urban services, the population size of neighboring cities, distances, and income levels based on the internal and external dynamics of the city.

Connecting internal and external dynamics in European intersectoral policy coordination – the case of education and employment

ABSTRACT Intersectoral policy coordination has garnered considerable attention in the study of the European Commission (EC) over the past few decades. Within the EC, a logic of hierarchy and a logic of policy portfolios coexist, often leading to a conflictual and complex relationship. While the literature has extensively explored the internal dynamics of the EC, there has been less focus on the role of external dynamics in influencing intersectoral policy coordination. This paper addresses this gap by examining the case of European policy coordination in education and employment and how both internal and external dynamics can hinder or facilitate policy coordination within the EC. Based on the analysis of interviews with EC actors and various EU policy documents, the paper discusses how these internal and external dynamics have affected policy coordination, highlighting elements of both positive and negative coordination.

Multi-resolution assessment of heart rate variability signals during yogic and normal breathing using machine learning modules

In recent times, yoga has gained global prominence due to its wide-ranging health benefits. Heart rate variability (HRV) analysis has become a widely embraced tool to assess the impact of yoga and meditation on individuals. The effects of yoga can vary significantly among individuals based on their prior expertise, skills, and the interplay of external and internal dynamics. This variability complicates the task of extracting distinctive characteristics from raw data to categorize yogic and pre-yogic states. This paper introduces a new approach that enhances the screening of yogic states through multi-resolution analysis of HRV data combined with a machine learning module. The empirical Fourier decomposition (EFD) technique is harnessed to decompose input data into distinct multi-resolution modes. Various statistical characteristics are then extracted from these modes, allowing for a comprehensive analysis of the immediate effects of yoga breathing on HRV signals. To discern between yogic and pre-yogic HRV signals, a selection of significant features is ranked using a chi-square score and subsequently inputted into machine-learning modules. Notably, employing normalized features with the decision medium tree classifier yields an area under the curve (AUC) value of 0.99, while using direct features with an ensemble bagged tree classifier results in an AUC value of 0.82. Furthermore, this research underscores the importance of assessing outcomes from various metrics to compute the underlying dynamics of HRV data during breathing practices. This approach facilitates precise monitoring, personalized feedback, and intervention in yoga machine interfacing systems, ultimately enriching the overall experience and well-being of yoga practitioners.

External shocks and dynamics of resource use patterns: empirical evidence from the Indian manufacturing sector

While promoting manufacturing growth is imperative to boost economic growth, potential adverse consequences on natural resources and ecology have created sustainability-related concerns and challenges. In India, with the reform processes deepening further and the business environment becoming more market-oriented over the years, the adoption of appropriate measures for sustainable manufacturing growth under such conditions would require a deeper investigation of the underlying dynamics, particularly to address the impacts of external shocks. This is especially true when external shocks alter market dynamics and, hence, input is used significantly in the manufacturing sector. Given this backdrop, the present paper examines how the major external shocks to the Indian economy during in the post-reform era have altered the resource use patterns in selected manufacturing industries. The paper uses secondary data collected from the KLEMS database of the Reserve Bank of India for the period from 1980–81 to 2019–20 and applies descriptive statistics and econometric techniques to address the research objective. It is found that energy intensity, vertical integration, capital intensity, and rate of growth of total factor productivity decreased over the decades, whereas labour productivity experienced an increasing trend in most industries. However, the trends are mixed in the case of material intensity. Further, the regression results indicate significant effects of external shocks on resource use, factor productivity, and structural changes. There are also industry-specific differences in the nature and extent of such changes. Hence, a deeper investigation of the underlying factors and impacts at a disaggregate industry level is necessary to draw more robust insights.

Trajectory Tracking Control of an Autonomous Vessel in the Presence of Unknown Dynamics and Disturbances

We present a proportional–integral–derivative-based controller plus an adaptive slide surface to solve the trajectory tracking control problem for a fully actuated vessel with unknown parameters perturbed by slowly varying external unknown dynamics. The controller design assumes that the vessel moves at low speed and frequency, its physical parameters are unknown, and its state is measurable. The control approach ensures error tracking convergence toward a small vicinity at the origin. We conduct the corresponding stability analysis using the Lyapunov theory and saturation functions. We tested the controller through two numerical experiments—a turning ellipse maneuver and a rest-to-rest maneuver—where the vessel parameters were unknown, and we obtained satisfactory results.

Impression Communication Management on Organizational Communication: LAZ Coal Case Study

This case study delves into the significance of impression communication management in influencing organizational communication at LAZ Coal, a prominent coal mining company. The findings provide valuable insights for scholars and practitioners in the fields of organizationalhis research explores the impact of strategic impression communication on stakeholder perceptions, information sharing, and the overall communication environment within an organization. The extensive body of research on impression management emphasizes its importance in projecting a positive organizational image and effectively managing stakeholder perceptions. In the same vein, studies on organizational communication highlight its crucial importance in promoting the sharing of information, teamwork, and the establishment of a unified organizational culture. This case study seeks to combine these two areas to explore how impression communication management and organizational communication interact with each other. This research utilizes a qualitative, multi-method design, following the case study approach proposed by RK Yin. We collected data by conducting in-depth interviews with key personnel, analyzing internal communications documents, and observing organizational interactions. The case study approach provided a thorough understanding of the phenomenon within the LAZ Coal setting, taking into account the context and various factors involved. The findings highlight how LAZ Coal's strategic approach to communication has had a significant impact on both internal and external dynamics. This includes their consistent messaging, selective information dissemination, and effective use of communication channels. As a result, employee engagement, stakeholder perceptions, and the overall communicative culture within the company have been significantly influenced. The case study highlights the significance of incorporating impression communication management into the overall organizational communication strategy. By acknowledging the interdependence of these two areas, LAZ Coal and similar organizations can improve their capacity to present a positive image, promote open information exchange, and foster a cooperative and effective communication environment. The findings provide valuable insights for scholars and practitioners in the fields of organizational communication and strategic management.

A new geopolitical stalemate: revisiting the EU’s neighbourhood policy in Georgia

ABSTRACT This article examines the EU’s neighbourhood policy, focusing on the extent of its role in instigating democracy promotion and responding to the security challenges in Georgia. It argues that although the EU has a positive impact with its normative undertaking, it remains short of answering the geopolitical expectations of the Eastern Partnership (EaP) countries. In Georgia, the EU’s constraints arise from the interplay between internal (domestic) and external (strategic) factors that need to be addressed to resolve the persistent challenges related to the democracy-security nexus in the country. While internally the problems emanating from the challenges of the dominant political party system translated into the Georgian political elite’s reluctance to implement necessary reforms, the external dynamics stem from the deteriorating strategic situation in the region and the EU’s ambiguous positioning in responding to the security needs of the country.

Wellness tourism experience and destination brand love

ABSTRACT This study assessed various aspects of the wellness tourism experience in Thailand. A survey was conducted with a sample of 420 Chinese tourists. The findings revealed significant and insignificant effects of the wellness tourism experience on the development of destination brand love. Additionally, it confirmed that barriers and destination familiarity play a vital role in shaping tourists’ responses and strengthening their affinity towards the destination brand. The results highlight tourists’ focus on comprehensive experiences rather than external dynamics like weather. This study suggests collaboration among stakeholders to enrich the overall travel experience and prioritize the emotional wellbeing of tourists.

UNDERSTANDING THE FACTORS INFLUENCING BLOCKCHAIN TECHNOLOGY ADOPTION IN MODERN ENTERPRISES

The research paper examines the factors influencing the adoption of blockchain technology in modern enterprises, focusing on both internal and external determinants. Conducted with a sample of 231 respondents from various industries, the study investigates how organizational culture, leadership support, technological infrastructure, training resources, communication, regulatory standards, competitive pressures, market maturity, partnerships, and customer expectations affect blockchain technology adoption. Using a quantitative methodology, data were collected through structured questionnaires, and hypotheses were tested using statistical techniques, including one-sample t-tests. The results reveal that internal factors such as organizational culture and leadership support significantly impact blockchain adoption. Concurrently, external factors like regulatory standards, competitive pressures, and customer demands also play a crucial role. The study highlights that organizations with supportive internal environments and those adept at navigating external pressures are more likely to successfully adopt blockchain technology. The findings suggest that a comprehensive approach, addressing both internal and external factors, is essential for effective blockchain integration. Implications for practice include the need for organizations to foster a supportive internal culture, ensure strong leadership, and stay responsive to external regulatory and market dynamics. Future research directions include exploring the long-term impact of blockchain adoption on organizational performance and investigating the integration of blockchain with other emerging technologies.

The Impact of External Dynamics on eLearning Acceptance and Adoption in Higher Educational Institutions: A Theory of Planned Behavior

The domain of technology acceptability has emerged as a crucial area ofinvestigation within the sphere of information technology. Over time, numeroustheories and models have been suggested to clarify individual behaviors towardstechnology adoption and assess the level of acceptance and satisfaction withtechnological advancements. This research conducts a thorough examination ofdiverse hypotheses concerning technological acceptance and evaluates theirexplanatory capacity critically. The analysis demonstrates that these theories canbe broadly classified into two primary domains: practical application and scientificinquiry. Concentrating primarily on recognizing the external factors impacting theacceptability and implementation of technology, this study aims to illuminate thedynamics both preceding and during the global pandemic. Specifically, it exploresthe subtle influence of external factors on the adoption and usage of eLearningplatforms in higher education environments. By examining existing literature andempirical research, this investigation seeks to offer valuable insights into theintricate relationship between external variables and the acceptance oftechnological developments. Through a comprehensive analysis of elements likesocio-economic circumstances, institutional regulations, and technologicalframeworks, this study strives to enhance comprehension of the intricate interplaybetween external influences and technology adoption procedures. Ultimately, theoutcomes of this study are positioned to guide future strategies and interventionsdesigned to promote greater acceptance and utilization of technology in variouscontexts, particularly considering unprecedented global challenges like thePandemic

Effects of Race Car's Speed on the Aerodynamic Aspect Using Computational Fluid Dynamics Analysis

This research employs Computational Fluid Dynamics (CFD) methods to investigate the intricate relationship between race car speed and external aerodynamics during high-performance racing competitions. The primary objectives encompass the application of CFD in pre-processing and analyzing external aerodynamic aspects, coupled with a comprehensive examination of the external flow around a race car for a nuanced understanding of its aerodynamic performance. Various car speeds were considered with the RANS (k-ω SST) turbulent model. The results unveiled a direct correlation between inlet velocity and the maximum velocity attained by the race car. The aerodynamic design intricately directs the airflow, leading to higher velocities predominantly along the upper part of the car body. Noteworthy is the revelation that the highest recorded maximum velocity of 231.06 m/s coincides with a peak inlet velocity of 200 m/s, suggesting a consistent increase in maximum velocity with rising inlet velocity. This research emphasizes the pivotal role of inlet velocity in achieving peak car speed performance. It sheds light on the significance of turbulent model selection in capturing the complexities of external flow dynamics. This knowledge contributes to optimizing the external aerodynamics of race car body design, ultimately enhancing performance and competitiveness in the dynamic world of Formula 1 racing.

Auto-berthing Control for MSVs with a Time-based Generator under Actuator Faults: A Concise Neural Single-Parameter Approach

Abstract In this paper, we study the control problem of auto-berthing marine surface vessels (MSVs) within a predefined, finite time in the restricted waters of a port, in the face of internal and external uncertain dynamics and actuator faults. We first use radial basis function neural networks to reconstruct the internal uncertainties of the system; then, using the minimum learning parameter method, we transform the weights of the neural networks, the external disturbances of the system, and the bias fault factors into an indirect single-parameter neural learning mode. We also apply a robust depth information adaptation technique to estimate the upper bound on the composite disturbances online. Dynamic surface control technology alleviates the burden of virtual control derivative calculations. Finite-time convergence of the system is guaranteed by a predetermined finite-time function based on a time-based generator (TBG). Based on these methods, we design a finite-time fault-tolerant auto-berthing control scheme based on TBG. The stability of the system is analysed based on Lyapunov stability theory. Finally, we verify the effectiveness of the proposed control scheme through simulation.

Bias in candidate sourcing communication: Investigating stereotypical gender- and age-related frames in online job advertisements at the sectoral level

Job advertisements hold a wealth of knowledge for the public relations field about complex internal and external organizational dynamics. They reflect enduring social and sectoral cultural proclivities and associated stereotypes about workers. We examine the presence of stereotypical frames in job advertisements from sectors with varying gender and age social group composition. Guided by social categorization framing and the stereotype content model, we operationalize stereotypical warmth- and competence-related frames in candidate sourcing communication. Automated content analysis was conducted on a dataset of online job ad sentences (n = 308,583) from 16,135 job ads. Results indicate warmth-related frames are most observed in ads from female-dominated (vs. male-dominated) sectors and younger-dominated (vs. older-dominated and mixed-age) sectors. Conversely, competence-related frames are most observed in ads from male-dominated (vs. female-dominated and mixed-age) sectors and older-dominated (vs. younger-dominated and mixed-age) sectors. We additionally find candidate gender stereotypes may supersede age stereotypes in hiring contexts. Implications are discussed in light of socialization and structuralist forces and their influence on organizational communication in homogeneous and heterogeneous sectors.

Impacts of US Interest Rates on Growth, Income Distribution, and Macroeconomic Policy Space in Developing Countries: A SFC Supermultiplier Model

ABSTRACT This paper presents a stock-flow-consistent model in which growth is led by exports, government consumption, and consumption out of interest. It considers domestic and external debt dynamics and gross capital flows. The balance of payments constraint serves as a ceiling but not a floor for growth. Countries may choose to not fully use their external space to decrease public debts or accumulate international reserves. The model is applied to a comparative dynamics exercise to explore how a hike in foreign interest rates may impact growth and income distribution in a developing country under different policy responses. The shock forces the country to apply at least one contractionary macroeconomic policy or lose its reserves. Contractionary monetary policy may be the only tool to avoid external disequilibrium after the shock for countries with open capital accounts. Financial flows may impose trade-offs between short and long run policy objectives. Accumulated international reserves helps maintain expansionary policies and higher average growth rates after external shocks by providing liquidity in foreign currency.

Connessi e vicini: un gruppo di Auto Mutuo Aiuto per i familiari dei giocatori d'azzardo. L'esperienza sul territorio lodigiano

The GAP Local Plan (of the Health Protection Board) provides for a self-help group aimed at families of gamblers.In fact, Gambling Disorder (DSM V) does not only directly involve people who have a gambling problem but also their family members and loved ones; emotionally, economically and socially. Furthermore, the discomfort of the individual often speaks of a group dynamic, of collective suffering. In families the transaction is circular (Selvini, 1975).The Self Mutual Help group created is open to all citizens, as well as to family members of people who have already turned to the Addiction Service for a gambling problem.Self-help groups are based on the natural ability of human beings to be in relationship with each other and to support each other in times of difficulty and it is from these premises that this group also began.The article aims to recount, starting from the fundamentals of mutual self-help, the experience of the first AMA group aimed at family members of gamblers, promoted by the Addiction Service, in the Lodi area.The first observations can be useful for future years and to better develop an opportunity which has as its premise that of helping more and more people who find themselves facing a moment of difficulty.It is precisely the progressive discovery of gambling by family members that is traumatic, generating a climate of mutual distrust, cyclical experiences of illusions/disappointments, uncertainty that determines anxiety, fear and chronic stress (Capitanucci, 2012).The Auto Mutuo Aiuto group can help to emerge from isolation, increase solidarity, understand internal and external dynamics, stimulate new perspectives, bring out resources, feel capable and active. In the ecological-social approach, the family is seen not only as a possible part of the problem, but also and above all as a system open to the community, capable of exchanges and equipped with its own resources to be exploited.

Magnetic Field Mutation Mechanism and Its Non-Stationary and Stationary State Analysis in Power and "Ring" Applications

The phenomenon of magnetic field mutation, a complex yet pivotal aspect in various scientific and engineering domains, has garnered significant attention due to its profound implications on system behavior and performance. Magnetic fields, inherently dynamic in nature, exhibit mutations characterized by temporal variations in strength, direction, and spatial distribution. These mutations can stem from diverse sources, including external environmental factors, system dynamics, and material properties.This paper presents a comprehensive investigation into the magnetic field mutation mechanism and its implications for power and "ring" applications. The study encompasses theoretical analysis, simulation studies, and experimental validation to elucidate the dynamic behavior of magnetic fields in various contexts. The findings reveal insights into the temporal evolution and state analysis of magnetic fields, highlighting both stationary and non-stationary characteristics. Through analysis tables, we demonstrate the varying magnetic field strengths observed at different nodes within a ring application over consecutive time intervals. The implications of these findings for the stability and performance of magnetic field systems, particularly in power applications. The study underscores the importance of considering non-stationary factors in magnetic field analysis, emphasizing the need for adaptive modeling techniques and real-time monitoring strategies. The insights gained from this research contribute to a deeper understanding of magnetic field dynamics and offer valuable implications for the design, optimization, and operation of magnetic field-based systems in diverse applications.

Exploring the complex interplay of factors in convective heat transfer: a comprehensive parametric analysis in three-dimensional permeable cavities

ABSTRACT This examination aimed to mathematically investigate the blended convective intensity movement inside a three-layered nook that consolidates a spinning roundabout chamber and an undulating permeable pit. Using the limited component technique (FEM), mathematical reproductions were executed across different boundaries, enveloping the Darcy number going from 10 − 5 to 10 − 2 Hartmann number (going from 0 to 100, the angular velocity between − 4000 and 4000, and the number of undulations in the permeable pit. The results, addressed through stream capability, isotherms, and isentropic forms, clarify the effect of these boundaries on movement, heat transport, and entropy age. The ends suggest that for an ideal upgrade of intensity move rates in a three-layered undulating permeable cavity with a pivoting chamber and exposed to an attractive field, explicit circumstances are suggested, a Darcy number more prominent than or equivalent to 10 − 2 , a Hartmann number of 0, undulation of the permeable pit (N = 3), and angular velocity surpassing 2000 in the stream heading. The study investigates convective heat transfer in a rotating cylindrical chamber, analyzing parameters like Darcy number, Hartmann number, and rotation speed for optimizing heat transfer systems in complex porous cavities. The optimal heat transfer occurs when the aspect ratio is fixed at 0.3 and porous media occupies 90% of the channel. A 150% enhancement in the Nusselt number can be observed when the cylinder’s rotational speed increases. The study also found that increasing angular velocity and Darcy number positively affects the Nusselt number. The research aims to understand the interplay of factors affecting convective heat transfer and fluid dynamics and offer practical implications for optimizing heat transfer systems. The novelty of this study lies in its thorough examination of convective heat transfer in a rotating cylinder-shaped porous cavity, focusing on factors like Darcy number, Hartmann number, rotation speed, and pit geometry. It provides insights for optimizing heat transfer efficiency in complex cavities and explores the impact of external magnetic fields and fluid dynamics. The study investigates the influence of parameters like Hartmann number, angular speed, and Darcy number on thermal and flow characteristics in a porous cavity filled with Fe3O4/MWCNT-water nanofluid, highlighting their importance for optimizing heat transfer efficiency.

The External and Internal Environment Analysis of Amazon

This comprehensive report delves into Amazon's intricate ecosystem by scrutinizing its internal and external dynamics, focusing on strengths, future risks, and potential developments. The study meticulously examines the advantages that Amazon's various strengths currently confer upon the company, while also highlighting the looming threats posed by formidable competitors such as Walmart, Alibaba Group, and Jingdong. To offer a comprehensive analysis, the paper dissects Amazon's strengths and weaknesses across multiple dimensions. This includes an exploration of the services Amazon offers to both suppliers and consumers, with a particular focus on the significance of shipping services and the impact of the ubiquitous Prime membership. The report also delves into the threats posed by competitors, both within the retail and e-commerce sectors, which pose a constant challenge to Amazon's dominance. Moreover, this paper takes an in-depth look at Amazon's internal strengths, including its impressive profitability and robust brand reputation, and contrasts them with the inherent risks Amazon faces, such as potential revenue slowdowns and intensifying competition. By examining these factors comprehensively, this report provides a valuable insight into Amazon's current standing and its future trajectory in a highly dynamic and competitive market landscape.

High-gain observer design for auxiliary systems of non-minimum phase nonlinear systems

To a non-minimum phase nonlinear system, it was supposed that, if there is an output feedback control that stabilizes the auxiliary system, then there is an output feedback that stabilizes the original system. The existing methods base designing output feedback for non-minimum phase nonlinear system on the hypothesis that there exists output feedback for auxiliary system. However, the auxiliary system could be unobservable. Alternatively, this study aims to create a way to design output feedback for auxiliary systems in unobservable situation. An output state is constructed in the last equation of auxiliary system, which artificially makes the internal dynamics of the auxiliary system observable. Then, a cascade high-gain observer is designed for the auxiliary system, consisting of an extended high-gain observer for external dynamics and a high-gain observer for internal dynamics of the auxiliary system. Therefore, the output feedback control for auxiliary system can be designed via the cascade high-gain observer and a state feedback. Finally, the proposed method is demonstrated by an academic example and an inverted pendulum on a cart in the simulation.