Continuous Change Research Articles

Categorization, Identification, and Management of Stakeholders in University Hospital of China Based on Public Value Theory

Public hospitals, particularly university hospitals, as the primary suppliers of high-quality healthcare services in China, play an indispensable role in encouraging the development of a healthy China. In the new historical period, university hospitals are faced with the challenge of the continuous development and change of the external environment, as well as the internal structure. The primary cause for this is a lack of understanding of the connotation and definition of hospital stakeholders, as well as neglecting stakeholder requests and failing to build and form a strategic awareness of improving stakeholder management in university hospital. This paper focuses on the stakeholders of university hospitals in China, investigates the classification and identification of stakeholders, five university hospitals designated as "Grade A tertiary hospitals" was carried out. Semi-Interviews were conducted with 33 participants including experts, university hospital leadership level, and basic level. The study revealed that there are ten (10) stakeholders influencing the development of university hospitals in China and discussed the importance of stakeholders for hospital management and operation in the current medical environment and doctor-patient relationship in China. The study revealed that certain stakeholders drive university hospitals to shift their development strategies. The classification and identification of stakeholders in the pattern of interactions is critical for understanding the complexity and dynamics inherent in stakeholder relationship management. A systemic vision is required to address the university hospital issue's complexity from a broader perspective, engage the system's numerous stakeholders, and allow long-term decision-making.

Pregnancy, Parenthood, and Elite Athletics: “There’s a Lot of Work Still Yet To Be Done”

Several female athletes have recently challenged the long-standing assumption that pregnancy/parenthood (particularly motherhood) and participation in elite-level sport are mutually exclusive. These women’s actions have elicited change across the elite athletics industry and have sparked a need for further research to understand how elite athlete-parents perceive these shifts. We used feminist poststructuralist theory, feminist participatory action research, and semistructured interviews to explore the perspectives of 21 pregnant and parenting elite/international and world-class athletes (11 women and 10 men) on the developing degree of acceptance of parenthood in elite athletics. Through feminist poststructuralist discourse analysis, we identified that, despite considerable recent advancements, there is still a need for continued change in the degree to which pregnant/parenting elite athletes are accepted and supported within elite athletics.

Securing Tomorrow: Synergizing Change Management and Cybersecurity in the Digital Era

Abstract In the rapidly evolving business environment of 2024, organizational change management (OCM) leaders face unprecedented challenges driven by technological advancements, digital transformation, the integration of remote work, and a heightened focus on sustainability. This study examines the efficacy of traditional OCM models in addressing these modern complexities. Through a qualitative methodology employing an extensive literature review, the research identifies vital issues such as resistance to change, digital transformation imperatives, the shift to remote and hybrid work models, and the imperative for sustainable and ethical business practices. The study posits that while classical OCM frameworks offer foundational insights, there is a pressing need for more adaptive, inclusive, and flexible approaches to navigate the nuanced demands of the contemporary and future business landscape. Expected findings suggest the integration of agile methodologies, technology adoption, and a shift towards a culture of continuous change and employee empowerment as critical strategies for effective change management. These insights aim to guide OCM leaders in developing strategies that address the current challenges but also anticipate the dynamics of future organizational change, thus contributing to the broader discourse on evolving OCM practices in a digital and globally interconnected era.

Ab initio investigation of electronic structure and magnetic transformation during the bcc to hcp transition in Fe induced by pressure

The pressure-induced structural transition from a body-centered cubic (bcc) to a hexagonal close-packed (hcp) crystal in Fe is studied through ab initio electronic structure calculations, combining with the thermodynamic and kinetic phase-transition methods. According to the energy-volume relationship and thermodynamic criterion, the reasonable phase transition pressure is calculated to be about 13.88 GPa. The SSNEB method is employed to examine kinetic structural and barrier changes along bcc-hcp transition under various pressures. The transformation path involves the deformation of (110)bcc into the tightly packed (0001)hcp, accompanied by the relative slip of (110)bcc along the [1̅10]bcc direction, leading to the formation of the hcp structure. Our results indicate a reduction in the transition barrier of bcc-hcp with increasing pressure. Under the thermodynamic phase transition pressure, the bcc-hcp phase transition barrier is still as high as 140 meV, implying that pure hydrostatic pressure is not a sufficient condition to drive the phase transition. In addition, different from the continuous change of volume, the magnetism of the structure undergoes a magnetic mutation at the transition state, and the phase transition process involves complex magnetic transitions.

Online Purchase Intention of Digital Products among University Students

Online shopping is one of the e-commerce platforms. It has gradually become famous worldwide and is expanding quickly in nations because of its continuous changes and upgrades. Most online shoppers are aged 20 and 30. University students have become one of Malaysia's most significant market populations due to the growth of digital educational services. However, it is still unclear what factors drive these university students toward online purchase of digital products. This study examines the relationship between social influence, product preference, system security, perceived pricing, and online purchase intention of digital products among public university students. 227 undergraduate students enrolled in Malaysian public universities were surveyed using a quantitative questionnaire. The Statistical Package for Social Science (SPSS) was used to analyze the collected data for this project. The findings of this study demonstrated significant relationships between online purchase intention and social influence, system security, and perceived pricing. According to the analysis results, perceived pricing has the most significant influence on purchasers' intention to purchase online. Hence, service providers should ensure that their product pricing is reasonable and worth the money to purchase. Additionally, marketing strategies can be tailored using e-WOM practices to raise social influence, and the system's security aspects must be enhanced to increase trust and knowledge of the legitimacy of online purchases.

Impact of different numerical approaches on the magnetocaloric effect modeling

As an ecological alternative to the conventional refrigeration technology, magnetocaloric refrigeration is still facing scientific and technological challenges hindering their application. Magnetocaloric devices rely on the magnetocaloric effect, where temperature variations result from magnetic field changes. The correct implementation of the magnetocaloric effect in numerical models is crucial before prototyping the related solutions. Here, we present a comparison between the three most used numerical methods to simulate the magnetocaloric effect: continuous temperature change, discrete temperature change step and heat source obtained from adiabatic temperature. By varying the time and space steps, it was observed that the continuous temperature change method is the most appropriate for small time steps, but has the largest computational cost. The discrete method can only be applied to small time steps, but is the fastest method. Finally, the adiabatic temperature change power source method can be applied in the entire range and is the one that presents the best results for larger time steps.

Biodiversity increases resistance of grasslands against plant invasions under multiple environmental changes.

Biodiversity often helps communities resist invasion. However, it is unclear whether this diversity-invasion relationship holds true under environmental changes. Here, we conduct a meta-analysis of 1010 observations from 25 grassland studies in which plant species richness is manipulated together with one or more environmental change factors to test invasibility (measured by biomass or cover of invaders). We find that biodiversity increases resistance to invaders across various environmental conditions. However, the positive biodiversity effect on invasion resistance is strengthened under experimental warming, whereas it is weakened under experimentally imposed drought. When multiple factors are imposed simultaneously, the positive biodiversity effect is strengthened. Overall, we show that biodiversity helps grassland communities resist plant invasions under multiple environmental changes. Therefore, investment in the protection and restoration of native biodiversity is not only important for prevention of invasions under current conditions but also under continued global environmental change.

Research on the Narrative Strategies and Effects of International Communication of New Mainstream Films

The new mainstream film is a new form of the current film, which plays an important role in the international narrative communication. According to the YouTube film transmission data in the platform, a comprehensive analysis of the current new mainstream film in the international narrative strategy, including increasing the film transmission themes, improve the film design imagination, add continuity characters and change spread thinking, according to the relevant movie data, confirm the film international narrative communication effect, for the spread of sustainable proposals.

BATSCCD: a new change detection method for mapping building age in rapidly changing urban areas using Landsat time series data

ABSTRACT The building age is an important feature in the vulnerability assessment of disasters and building energy consumption modeling. It provides indispensable information for the study of built environment. However, obtaining high-precision maps of building ages is challenging, which impedes the development of relevant research and applications. In this study, a new building age mapping method based on Landsat time series classification and change detection (BATSCCD) was proposed, which integrates Landsat time series data with random forest and LandTrendr algorithm to reflect non-building to building changes, building reconstruction, and corresponding change characteristics. The proposed method achieved overall building age mapping accuracies of 80.45% within a 2-year tolerance and 87.66% within a 3-year tolerance in Guangzhou and accuracies of 78.08% and 87.52%, respectively, in Beijing. The improvement was notable, especially compared with the continuous change detection and classification (CCDC) method, with corresponding accuracy values of 36.22% and 46.31%, respectively, in Guangzhou and 49.7% and 60.19%, respectively, in Beijing. The results suggest that the BATSCCD method can be used to accurately estimate the building age and provide reliable mapping results. Thanks to the accessibility of required data and its high accuracy of building age estimation, the proposed method exhibits great application potential.

Utilizing Multi-Source Data and Cloud Computing Platform to Map Short-Rotation Eucalyptus Plantations Distribution and Stand Age in Hainan Island

Short-rotation eucalyptus plantations play a key positive role in the forestry economy due to their fast-growing and high-yielding properties. However, some studies have suggested that eucalyptus plantations introductions may have negative impacts on biodiversity and ecosystems’ stability. In order to precisely and promptly determine the influence of eucalyptus plantations on soil characteristics and hydrological processes, based on the rotation change rules of eucalyptus plantations, this study combined the continuous change detection and classification and spectral mixture analysis (CCDC-SMA) algorithm and the random forest (RF) algorithm to map the distribution and stand age of short-rotation eucalyptus plantations in Hainan Island. First, the forest distribution map was used to mask out the rubber plantations, and forest disturbances were extracted through the CCDC-SMA algorithm to determine the potential short-rotation eucalyptus plantations distribution. Second, using CCDC-SMA algorithm fitting coefficients, field surveys, original spectral bands, vegetation indices, and digital elevation models (DEM) as inputs to the RF algorithm, short-rotation eucalyptus plantations distribution maps were created and evaluated based on Google Earth images. Finally, the stand age of the newly mapped short-rotation eucalyptus plantations was estimated based on the breakpoints of the CCDC-SMA algorithm. The results showed that the producer, user, and overall accuracies of the 2022 short-rotation eucalyptus plantations map were estimated at 0.95, 0.95, and 0.94, respectively, and the validation R2 of the estimated stand ages was at 0.97. The eucalyptus plantations in Hainan Island had a total area of roughly 9.93 × 104 ha in 2022. Danzhou City had the highest planting area of eucalyptus plantations, followed by Changjiang County, Chengmai County, and Lingao County. It was worth noting that the eucalyptus plantations were mostly located in places with low altitudes (<200 m) and flat slopes (<10°). Approximately 43.91% of eucalyptus plantations were located in the three major watersheds. In addition, the 1-year-old eucalyptus plantations accounted for the highest areal percentage of 30.58%. These datasets are valuable tools to aid sustainable production, ecological assessment, and conservation of eucalyptus plantations.

Strategi Manajemen untuk Keunggulan Kompetitif di Bidang Pendidikan

Strategic management is an analysis, decisions and actions taken by an organization to create and maintain a competitive advantage. This research method uses literature review research conducted by collecting and analyzing related literature from international and national sources in the form of books, journals, and articles. Based on this research, the application of strategic management science in educational institutions can face various challenges due to continuous change and competition and produce educational products (outputs) that are able to display high performance. The purpose of this research is to conduct an analysis related to the understanding and implementation of strategic management in creating a competitive advantage in the field of education, this research also aims to provide an in-depth understanding of the concept of strategic management and how its application can help educational institutions face the challenges of globalization and improve the quality of education. This research also highlights the urgency of implementing strategic management in educational institutions, given the challenges faced due to globalization and increasingly fierce competition. Strategic management is considered the key to creating a competitive advantage for educational institutions, enabling them to control their schools effectively and efficiently and produce superior quality graduates.

Analysis of Lake Area Dynamics and Driving Forces in the Jianghan Plain Based on GEE and SEM for the Period 1990 to 2020

The lakes of Jianghan Plain, as an important component of the water bodies in the middle and lower reaches of the Yangtze River plain, have made significant contributions to maintaining the ecological health and promoting the sustainable development of the Jianghan Plain. However, there is a relatively limited understanding regarding the trends of lake area change for different types of lakes and their dominant factors over the past three decades in the Jianghan Plain. Based on the Google Earth Engine (GEE) platform, combined with the water body index method, the changes in area of three different types of lakes (area > 1 km2) in the Jianghan Lake Group from 1990 to 2020 were extracted and analyzed. Additionally, the Partial least squares structural equation model (PLS-SEM) was utilized to analyze the driving factors affecting the changes in water body area of these lakes. The results show that from 1990 to 2020, the area of the lakes of the wet season and level season exhibited a decreasing trend, decreasing by 893.1 km2 and 77.9 km2, respectively. However, the area of dry season lakes increased by 59.27 km2. The areas of all three types of lakes reached their minimum values in 2006. According to the PLS-SEM results, the continuous changes in the lakes’ area are mainly controlled by environmental factors overall. Furthermore, human factors mainly influence the mutation of the lakes’ area. This study achieved precise extraction of water body areas and accurate analysis of driving factors, providing a basis for a comprehensive understanding of the dynamic changes in the lakes of Jianghan Plain, which is beneficial for the rational utilization and protection of water resources.

How a System Is Closing the Evidence-Based Data Management Gap.

To translate raw data into information that is understandable and actionable, healthcare leaders must leverage decision-making tools that can drive strategic innovation, improve processes, and shape the future of healthcare. Continuous changes in healthcare delivery require constant monitoring of an expanding range of data. Population demographics, psychographics, and availability of care all must be considered, as well as provider practice patterns, patient utilization, clinical and service quality, costs, and many other key variables over time. RWJBarnabas Health is navigating significant changes in its approach to managing data. A unified operating model is driving standardization, continuous quality improvement, and cost reductions across the system. The solution is based on an electronic health record system designed to meet the needs of the entire system, an array of carefully selected external data sources, and a business intelligence tool to enable leaders to quickly draw insights from all the available data.

An insight from homogeneity testing of long-term rainfall datasets over East Java, Indonesia

Robust, reliable, and trustworthy ground observation datasets are the preliminary requirement for assessing the impact of climate change over regions. Principal testing to assess the quality of ground observation rely on the missing data and homogeneity result. The study used 40 years of monthly rainfall documented from different topographical features in the monsoonal region of East Java, Indonesia. The test included annual rainfall, early rainy season (October-November-December), and primary rain season (January-February-March). The homogeneity of rainfall determined by absolute technique: Pettitt’s test, the Standard Normal Homogeneity Test, the Buishand Rank Test, and the von Neumann Ratio. Among the time series, October-November-December observation results in better homogeneity. However, the rainfall datasets during primary rainy season showed the worst homogeneity. By performing annual and seasonal homogeneity test from 67 rainfall stations: 5 stations out of data length required, 5% stations ‘rejected’, 11% ‘suspect’, 11% ‘doubtful’, and 73% were ‘trusted’. Therefore, a total of 45 stations can be used as metadata for relative comparison and 7 stations can be considered to be useful for analysis despite ‘doubtful’. The remaining 10 stations need careful consideration to be used for future water management. Change point detected particularly between the year of 1997 through 2000. Pettitt’s test has outstanding results in the case of extreme climatic anomaly, but less sensitive of continuous abrupt change. The von Neumann test could detect abnormal data, but was not suitable for datasets containing few extreme values. The insights from homogeneity testing were: a) it is important to remove any outliers in the datasets before conducting homogeneity testing, b) both parametric and nonparametric homogeneity tests should be performed, and c) comparisons should be made with surrounding rainfall stations. Comparison with trusted long-term rainfall data is valuable for stations labeled as ‘doubtful’ or ‘suspect’ to mitigate false detections in individual homogeneity tests. The identified ‘useful’ rainfall data can then serve as reference stations for relative homogeneity tests. These findings suggest that reference stations should be assessed within similar rainfall zones.

The Coherence between Innovative Teaching Methods and Formative Assessment in Higher Education

Under the umbrella of VUCA-world and growing international competition, the human factors are playing more important role in higher education [9], [18]. Innovative teaching methods and formative assessment are significant transformational part of this process [24]. No doubt, teaching and learning methodology and assessment has strong coherency [19]. This presentation focuses on the relationship between innovative teaching methods and formative assessment. In the first part of the presentation, the philosophical phenomena of this process comes from John Dewey ‘learning by doing’ principle [8]. Thus, innovative teaching methods have strong impact of different types of interactions and broader meaning of learning, especially problem-, project- and inquiry-based learning [15]. Formative assessment focuses on following students’ progression and continuous feedback changing feedback culture in the teaching and learning process [29], [30]. Obviously, there are strong coherence between innovative teaching methods and formative assessment. In the second part of the presentation, the case study from Budapest Metropolitan University gives evidences to this required relationship giving best practices on innovation and formative assessment. Finally, at the end of the presentation, opened conclusion has dilemmas and questions.

MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models

Aerosols influence weather and climate by interacting with radiation through absorption and scattering. These effects heavily rely on the optical properties of aerosols, which are mainly governed by attributes such as morphology, size distribution, and chemical composition. These attributes undergo continuous changes due to chemical reactions and aerosol micro-physics, resulting in significant spatio-temporal variations. Most atmospheric models struggle to incorporate this variability because they use pre-calculated tables to handle aerosol optics. This offline approach often leads to substantial errors in estimating the radiative impacts of aerosols along with posing significant computational burdens. To address this challenge, we introduce a computationally efficient and robust machine learning approach called MieAI. It allows for relatively inexpensive calculation of the optical properties of internally mixed aerosols with a log-normal size distribution. Importantly, MieAI fully incorporates the variability in aerosol chemistry and microphysics. Our evaluation of MieAI against traditional Mie calculations, using number concentrations from the ICOsahedral Nonhydrostatic model with Aerosol and Reactive Trace gases (ICON-ART) simulations, demonstrates that MieAI exhibits excellent predictive accuracy for aerosol optical properties. MieAI achieves this with errors well within 10%, and it operates more than 1000 times faster than the benchmark approach of Mie calculations. Due to its generalized nature, the MieAI approach can be implemented in any chemistry transport model which represents aerosol size distribution in the form of log-normally distributed internally mixed modes. This advancement has the potential to replace frequently employed look-up tables and plays a substantial role in the ongoing attempts to reduce uncertainties in estimating aerosol radiative forcing.

Elementos de epistemología para el estudio de la solidaridad

The article proposes to discuss the theme of solidarity by relating it to changes in society, therefore, an overview will be offered of the dynamics and challenges - in relation to solidarity - that evolve due to the continuous changes in society, in a repeating circle. The idea is, therefore, to constitute a reflection on solidarity, using a metatheoretical approach suitable for so-called second-order studies such as the one presented here. The article develops from the problematisation of the definition of this concept, from a brief history of the idea of solidarity to arrive at epistemological aspects for the study of solidarity, which, beyond the individual declinations of it, allows us to explore the processes that take place on different levels (individual, social and cultural) for individuals whenever they interact with other individuals or with structures of society. The results arrived at by this theoretical study highlight the need to take into account the following changes occurring in society (a) the modification of risk maps that leads to the demand for new interventions to meet the renewed system of needs; (b) the emergence of the relationality dimension as an area of social distress; (c) the relativisation of knowledge that is often challenged by the information provided by the mass media; and, finally, (d) the non-linear development of social dynamics and technological transformations, which make it mandatory to update, innovate and modify knowledge to face the continuous challenges of society.

Broad-area-search of new construction using time series analysis of Landsat and Sentinel-2 data

New construction activities can alter surface albedo and structure, which then affect surface temperature and roughness, and hence have a significant impact on urban climate. Construction activity is also an important indicator of human development and movement and is of high interest to the intelligence community. A new approach for Broad-Area-Search of New Construction activities (BASC) by combining time series analysis and rule-based filters using Landsat data was developed and tested in five selected cities (Boston, Shanghai, São Paulo, Dubai, and Ho Chi Minh City). The algorithm transforms Landsat images into fractions of a set of four endmembers using Linear Spectral Mixture Analysis (LSMA) and then applies the Continuous Change Detection and Classification (CCDC) algorithm for change detection. A set of rule-based filters and spatial processing was then applied to narrow the search to changes related to construction activities. Overall, BASC reached a recall of 0.83, a precision of 0.58, and an F1-Score of 0.68. Among the five cities, Dubai had the highest recall of 1.0 and the highest F1-score of 0.75, while Boston had the highest precision of 0.63. BASC performed worst in Shanghai with an F1-Score of 0.6, mainly due to it having the lowest recall of 0.62, while São Paulo has the lowest precision of 0.5. Common sources of omission errors include low-density, redevelopment, and small sites, while common commission errors include roofing, land clearing, water level changes, and re-surfacing projects. For comparison, BASC using Sentinel-2 Top-of-Atmosphere (TOA) Reflectance data recorded an overall F1-Score of 0.63, but with higher recall and lower precision. Integration of Sentinel-2 Surface Reflectance and Sentinel-1 SAR data has the potential to further improve the performance of BASC. The new algorithm provided a method for routine monitoring of construction activities over large areas. The result of such monitoring can be used as a baseline to narrow down the candidate targets of construction activities, where very high-resolution imagery can then be requested to perform further examination.

Design of adaptive hybrid MPPT controllers with universal input voltage DC–DC converter for RES’s

At present, conventional energy production is absent because of the more hazardous gases released into the environment, the high effect on human health, more cost required for maintenance, plus less usefulness for highly populated areas. So, the Renewable Energy Sources are more focused for the present automotive industry application. In this work, the Proton Exchange Membrane Fuel Stack is considered for analyzing the proposed DC–DC converter circuit. The advantages of this fuel stack are high energy density, fast functioning nature, more robustness, and more usefulness for the various water membrane conditions of the fuel stack. However, the disadvantages of the fuel stack are excessive current generation, plus more current conduction losses. So, the wide voltage supply single switch power converter is introduced in this work for optimizing the current production of the fuel stack network. The merits of this converter circuit are high stability, good reliability, low voltage appearing across the switches, plus a uniform power supply. Here, the converter switching pulses are obtained by proposing the Modified Continuous Step Change Adaptive Fuzzy Logic with Grey Wolf Optimization hybrid controller. This controller provides high maximum power extraction efficiency from the fuel stack which is equal to 99.421%. Also, this controller's Maximum Power Point Tracking time is 0.0285 s.

Digital-Based Innovation in Islamic Education

The current developments, with the arrival of the digital era or the era of industrial revolution 4.0, will definitely have positive and negative impacts in the world of education. Especially regarding learning, Islamic education also continues to experience continuous development and change. This research is library research and the nature of this research is descriptiveanalytical. This research uses a library research approach, namely the data collection method through library sources. The results of this research are that technological results that can be utilized in learning include radio, television, film, computers, cellphones, and so on. The use of technology in Islamic education learning design, for example internet-based learning through the use of e-learning, websites, email, mailing lists, web blogs, multimedia, audio visuals, Google classroom, video conferencing, and so on. The existence of this technology clearly plays a very important role in Islamic education.