Case Study Research Articles

Construction of landscape ecological network based on MCR risk assessment Model: A case study of Liaoning Province, China

Numerous disorderly expansions of impervious surfaces have resulted from the ongoing urbanization process, eroding the ecological security pattern and exacerbating ecological risks, subsequently leading to a progressive deterioration in its integrity. The tension between the expansion of ecological space and urban spatial expansion is becoming increasingly acute. Exploring the connection between ecological risks in urban landscapes is important for effectively managing regional ecological risks and optimizing patterns of regional ecological security. However, previous studies focus on selecting ecological sources in an ecological network and ignore how ecological resilience is impacted by factors such as species diversity, ecological structure complexity, etc. Based on remote sensing images of Liaoning Province in 2000, 2010, and 2020, the study used the landscape core index as the main indicator of ecological risk assessment, constructed a landscape ecological risk assessment model, and analyzed the spatiotemporal evolution of landscape ecological risk over the past 20 years. The impact of landscape ecological risk on ecological resistance was further explored, and the landscape ecological risk results in 2020 were used as one of the resistance factors to construct a multi-indicator comprehensive resistance surface. After identifying important ecological sources, an ecological network based on the minimum cumulative resistance model (MCR) was constructed, the optimal path connecting important ecological source areas was determined, and the distribution pattern characteristics of the internal ecological network in Liaoning Province were revealed. The findings indicate a general shift in ecological risks from high to low, following a distribution pattern of “high in the east and low in the west”. Additionally, the study identified 8 ecological sources and established 28 ecological corridors, spanning a total length of roughly 8160 km. This study aims to furnish a scientific foundation for developing an ecological security pattern network and optimizing the landscape pattern within Liaoning Province.

What were the spatiotemporal evolution characteristics and influencing factors of global land use carbon emission efficiency? A case study of the 136 countries

Nations worldwide must collaborate to tackle the challenge of improving carbon emission efficiency and optimizing land use effectively. This study extends the study area from provinces and cities, regional city clusters, and countries to 136 major countries in the world, and shows the differences between countries. The paper analyzed the spatiotemporal evolution characteristics and influencing factors of land use carbon emission efficiency (LCEE) in these 136 countries from 2000 to 2019 using the super-efficiency slacks-based measure data envelopment analysis (Super-SBM DEA) model, global malmquist index, spatial autocorrelation measurement tools and Spatial Durbin model. It can help to promote low-carbon and green development while simultaneously improving the global LCEE. The findings indicate that: (1) Over the study period, there is a trend toward a decline in the LCEE worldwide. (2) The primary cause of the worldwide LCEE’s declining trend during the study period is the reduction in technical efficiency. (3) The low-low cluster type accounts for more, while the high-high agglomeration type accounts for less and exhibits a sluggish growth pattern. On the whole, there is a phenomenon of non-aggregation and non-uniformity. It is necessary to increase the driving effect of high-high cluster radiation. (4) Economic development level, investment level, population size, public service level and environmental sustainability level all have a significant impact on LCEE, while industrial development level has no significant impact on LCEE. From a global perspective, the radiation driving role of countries with high LCEE should be increased. Improve the efficiency and technological level of land use emission in light of local conditions, and promote independent innovation in green and low-carbon technologies. This is conducive to the establishment of long-term low-carbon growth.

The Impact of Infographic Design Creativity Techniques on Advertisement Appeal for Health Awareness; a Case Study of the Saudi Ministry of Health's Awareness Competition

The Impact of Infographic Design Creativity Techniques on Advertisement Appeal for Health Awareness; a Case Study of the Saudi Ministry of Health's Awareness Competition

What Do We Mean When We Say "Insight"? A Formal Synthesis of Existing Theory.

Researchers have derived many theoretical models for specifying users' insights as they interact with a visualization system. These representations are essential for understanding the insight discovery process, such as when inferring user interaction patterns that lead to insight or assessing the rigor of reported insights. However, theoretical models can be difficult to apply to existing tools and user studies, often due to discrepancies in how insight and its constituent parts are defined. This article calls attention to the consistent structures that recur across the visualization literature and describes how they connect multiple theoretical representations of insight. We synthesize a unified formalism for insights using these structures, enabling a wider audience of researchers and developers to adopt the corresponding models. Through a series of theoretical case studies, we use our formalism to compare and contrast existing theories, revealing interesting research challenges in reasoning about a user's domain knowledge and leveraging synergistic approaches in data mining and data management research.

Distributed power system coordination via parametric optimization and ADMM

In this paper we present an efficient model predictive control algorithm for distributed coordination of an electrical power system comprising many spatially distributed controllable units. The coordination problem is formulated using parametric solutions of local optimization problems corresponding to individual subsystems leading to favorable problem structure which can be split across all subsystems and nodes in the network. The structure of the obtained coordination problem is exploited to develop a very efficient solution algorithm based on an ADMM technique. The key features of the overall approach are: (i) private data of individual subsystems are protected, (ii) simple and efficient on-line computations, (iii) parallelization of computation across all subsystems and all nodes in the network. Efficiency of the proposed control strategy is demonstrated on a number of numerical case studies of varying size.

Fa’a Sāmoa Criminology: An Aspect of Pacific Criminology Counternarrative

Criminological imagination requires that criminologists adopt multiple perspectives on their study subjects, shifting backwards and forwards between the personal and remote, the micro and the macro, or the theoretical and the empirical. Criminology should thus be ‘refractive’ (Frauley 2015: 21), harnessing the multi-perspectivism of social life to produce fuller, sharper analyses that reveal links between individual lives, social structures, and historical context. One such perspective is fa’a Sāmoa criminology. Not much is known about this worldview or its relationship with criminology, let alone its application as a credible epistemology. This article argues that Western criminology is not the only way to generate new knowledge and recommended solutions and that instead fa’a Sāmoa criminology offers an alternative way. Two qualitative case studies demonstrate how Sāmoan thinking and doing applies in the contexts of Sāmoan young people’s interaction with the youth justice system and hard-to-reach gang-involved Sāmoan peoples. Key implications are highlighted and recommended.

Studying Factors Influencing Intention to Use Hybrid Education: A Case Study of Visual Communication Design Major Students at Chengdu Vocational University of Art

Background and Aim: Hybrid teaching follows the reform trend of China's vigorous development of online education and hybrid education. The Chengdu Vocational University of Art is the earliest art vocational university in China, and the visual communication major is the advantageous major of the university. The program of this major adopts a hybrid education model combining MOOC online courses and offline education. This study uses TAM, ASCI, UTAUT, and ECM theories to construct a model to analyze the factors affecting the hybrid education learning satisfaction of visual communication students, whose variables include virtual classroom quality, instructor characteristics, student expectations, course design quality, and course content quality. Materials and Methods: A purposive sampling method was used to distribute questionnaires to 571 students. Confirmatory factor analysis (CFA) and Structural Equation Modeling (SEM) were used to analyze the reliability, validity, goodness of fit, and hypothesis testing of the model. Results: Student satisfaction was found to greatly influence intention to use through the study. In addition, instructor characteristics and classroom quality had a supportive relationship on perceived usefulness, student expectations, course content, and perceived usefulness had a supportive relationship on satisfaction, while course design quality had no significant effect on satisfaction. Conclusion: School management and teaching teams should pay attention to the key influences on the intention of hybrid education and design programs based on research findings to help students understand the effectiveness of hybrid education and improve the quality of education.

Spatio-temporal evolution analysis of land use change and landscape ecological risks in rapidly urbanizing areas based on Multi-Situation simulation − a case study of Chengdu Plain

Land use change in emerging nations raises landscape ecological risks (LERS), hastens the deterioration of urban and rural ecosystem services, endangers human well-being, and undermines sustainable development in the face of rapidly increasing urbanization. Here, using the Chengdu Plain as the study area and long time series data from 2000 to 2020, the optimal time span is selected for multi-context spatio-temporal simulation. The land use map of Chengdu Plain in 2025 under the four scenarios of “Natural Development” (ND), “Economic Priority Development” (END), “Ecological Priority Development” (ELD), and “Sustainable Development” (SD) was simulated, and the multi-indicator landscape ecological risk index (ERI) was generated to compare and analyze the differences between land use and landscape ecological risk under different policy preferences. Subsequently, the land use data from 2025 to 2040 were simulated, the landscape ecological risk pattern was mapped, and the spatial and temporal evolution analysis from 2010 to 2040 was conducted to explore the spatial evolution law of land use change and landscape ecological risk. Based on the results, the high ecological risk aggregation areas are prone to appear in END scenarios, whereas medium-ecological risk aggregation areas are more likely to appear in ELD scenarios, and the government should focus its policy on arable land protection. Moreover, the land use pattern of cultivated land surrounding construction land and forested land surrounding cultivated land, caused by the irrational single-core development pattern and the policy of returning farmland to forests, has exacerbated the landscape ecological risk of the Chengdu Plain, constituting a unique landscape ecological risk pattern. It’s also important to remember that the Chengdu Plain’s less economically developed regions need to focus on the high-quality development of ecological land use. We adopted high-precision simulation methods to simulate the complex land use changes in rapidly urbanizing areas and explored the spatial evolution law and causes of landscape ecological risk evolution in the context of land use changes, with the intention of offering a solid theoretical foundation for such areas’ future planning in developing nations.

Indazole-5-amine (AIA) as competing corrosion coating to Benzotriazole (BTAH) at the interface of Cu: A DFT and BOMD case study

This study compares three organic compounds—benzotriazole (BTAH), imidazole (IM), and indazole-5-amine (AIA)—as corrosion inhibitors for copper substrates. Using Density Functional Theory (DFT) and Born-Oppenheimer Molecular Dynamics (BOMD) calculations, it identifies AIA as a promising and cost-effective alternative to the toxic BTAH. The adsorption strength on Cu(100) surfaces is ranked AIA>BTAH>IM for both neutral and deprotonated forms. These findings are supported by electronic parameter studies, including Bader charge analysis, density of states (DOS), charge density differences (CDD), and frontier molecular orbital analysis. AIA shows the best adsorption in a parallel orientation at the top site. Packing studies reveal that hydrogen bonding stabilizes the interaction energies within self-assembled AIA aggregates. Organometallic complexation studies reveal that deprotonated BTAH exhibits higher interaction energy with a single Cu atom compared to AIA when bonded through the carbon end, consistent with the findings from BOMD studies. However, on periodic Cu surfaces, AIA outperforms BTAH molecules as seen from adsorption energies. This investigation highlights AIA’s potential as a superior and more economical corrosion inhibitor for copper.

Decolonizing study-abroad programs in nursing in low- and middle-income countries

BackgroundStudy abroad programs expose scholars, including nursing faculty and students, to different settings and cultures. However, the world of global health is rooted in colonial practices that have the potential to cause harm to communities. PurposeIn this reflection, we provide lessons we have learned through study abroad that guide strategies for decolonizing our practice while working toward cultural safety and humility. MethodsWe utilized a qualitative case study method. The authors discussed and reviewed study abroad programs through a series of virtual discussions. FindingsDiscussions showed that study abroad programs present opportunities for students and faculty to grow and learn. However, unacknowledged privileges among visiting students and faculty, and lack of understanding of the impacts of colonialism, may lead to harm in communities and inequitable relationships with local providers. DiscussionUnderstanding the privileges that we hold as scholars is important in advancing positive and equitable experiences in study abroad programs.

Regional public university chief marketing officers' perceptions of best practices for addressing the enrolment cliff

Higher education institutions rely on student enrolments to generate revenue through tuition and fees. The next decade will bring a significant enrolment drop for many institutions because of several factors, including birth-rate declines and demographic shifts. The projected enrolment decline has been called the enrolment cliff due to the impact on colleges and universities that will face a major revenue loss if enrolments decline as predicted. This case study explores chief marketing officers' perceptions of best practices at regional public universities that must be addressed to utilise marketing to help mitigate the enrolment cliff.

Analysing the electricity load and production by means of different machine learning methods: A case study of a MG system

Analysing the electricity load and production by means of different machine learning methods: A case study of a MG system

From case study to general principle: An analysis of the development mechanism and policy optimization of mangrove carbon sinks

From case study to general principle: An analysis of the development mechanism and policy optimization of mangrove carbon sinks

Aspectos clave de la Nueva Gestión Pública en los procesos de Modernización y Reforma de la Administración Pública: Costa Rica y El Salvador

The objectives of this investigation is to conduct an analysis of the paradigm of change in New Public Management, through a documentary methodology with a qualitative focus. Aspects of New Public Management in the processes of modernization and reform of public administration are analyzed through the specialized bibliography for the case study of Costa Rica and El Salvador through the application of neogerential trends, it is observed that the efficiency and quality of resources in the public administration of Costa Rica and El Salvador.

Dynamic Data Placement Strategy with Network Security Issues in Distributed Cloud Environment for Medical Issues: An Overview

: The rapid integration of distributed cloud systems in the healthcare industry has profoundly impacted the management of valuable medical data. While this advancement has significantly improved data handling, protecting sensitive healthcare information in such a complex environment remains daunting. This comprehensive study explores the crucial intersection between dynamic data placement strategies and network security concerns in distributed cloud environments, particularly healthcare. After establishing the significance and context of this research, the survey delves into the growing need to safeguard medical data within the everevolving landscape of cloud-based healthcare systems. It lays out fundamental concepts, such as dynamic data placement and network security, highlighting their unique implications in the medical domain. Ultimately, this survey sheds light on the most effective approaches for balancing dynamic data placement and network security in the healthcare sector. This research delves into examining many tactics, evaluating their effectiveness in handling delicate medical information, and presenting tangible use cases. A key focus of this investigation is the fusion of data organization and network safety within the healthcare industry. It investigates the adaptability of dynamic data positioning techniques in fortifying network security and safeguarding against potential threats unique to the healthcare sector. Case studies of the successful implementation of these strategies in healthcare establishments are also included.

Virtuell virkelighet, virkelig mestring: Virtual Reality som verktøy i behandling av psykoselidelser

Virtual reality (VR) is emerging as an innovative tool in psychotherapy. In this article, we review the evidence base for the use of VR in therapy, focusing on the treatment of psychotic disorders. We present a fictional case study based on real-life patient pathways from several psychosis treatment units at Oslo University Hospital, showing how VR can be used to address anxiety and avoidance behaviours in patients with psychotic disorders. Furthermore, we introduce RecoVRy, a novel Norwegian intervention combining VR and artificial intelligence (AI) to help individuals with psychotic disorders manage everyday anxiety. Although integrating VR and AI holds considerable potential, we also discuss challenges related to privacy and ethical considerations. We conclude that although VR therapy probably does not represent a universal solution, the technology constitutes a valuable supplement that can enrich therapeutic practices and potentially contribute to significant health and socioeconomic savings. Finally, we emphasise the need for further research to fully realise this potential. Keywords: Virtual reality, VR, virtual reality exposure therapy, VRET, artificial intelligence, AI, psychosis, schizophrenia

Advancing urban climate adaptation through knowledge exchange: A case study of New York City

Cities are experiencing increasingly extreme and longer-lasting hazards due to climate change. In response, urban decision-makers use climate assessments to inform their adaptation programs. To effectively inform planning, climate assessments must be responsive to community priorities and align with information needs. However, there are few empirical studies evaluating the co-production and exchange of climate information within climate assessment processes. To address this gap, we evaluated the Climate Knowledge Exchange (CKE) piloted in 2020 by the Mayor's Office of Climate and Environmental Justice (then the Mayor's Office of Resiliency) in New York City. The CKE is an ongoing engagement process that asked: What are the research gaps and barriers to adaptation in New York City and how can we design inclusive approaches to knowledge exchange that advance equitable adaptation? To answer this question, we facilitated group discussions, distributed surveys, and reviewed adaptation plans to assess the state of climate knowledge. The findings indicate a need for contextually and culturally sensitive approaches to the co-development of actionable knowledge. Additionally, there is a need to reduce barriers to equitable adaptation and to advance the practice of climate-informed decision-making. Our findings advance understanding of the potential role of climate knowledge exchange in adaptation planning.

Comparative Study of Small-Area Population Prediction Methods, GWR, and CCR: A Case Study of Wuhan, China

Comparative Study of Small-Area Population Prediction Methods, GWR, and CCR: A Case Study of Wuhan, China

TRANSFORMATIVE BUSINESS GROWTH STAGE MODEL TO FACE UNCERTAINTY

The business landscape was characterized by rapid change, intense competition, and various substitute products. These factors shortened business life cycles and hindered business growth. Therefore, there was a need for a more appropriate model that could suit the current condition. The study aimed to develop a transformative Growth Stage Model (GSM) effectively adapted to modern challenges and uncertainty. This qualitative approach involved inductive theory building with seven case studies of SME owners in Yogjakarta and Central Java. Developed models, patterns, and interview themes were built, including resilience, business performance, and leadership for the early growth, growth, and decline stages. In addition, these patterns and themes were used to develop three stages of transformative GSM known as GSM 4.0.

Evaluation of thermal effects on urban road spatial structure: A case study of Xuzhou, China

Evaluation of thermal effects on urban road spatial structure: A case study of Xuzhou, China