Proactive Adaptation Research Articles

Crimes in the Banking Sector in The Laws of Vietnam and Some Countries Around the World

Digital transformation has caused the banking industry today to face the challenges of newly arising crimes. In addition to traditional crimes like before, forms of electronic banking fraud or using high technology to commit crimes tend to increase. Because technological changes and developments have caused the banking system to fail to keep up with this development and are also the cause of this crime. The laws of Vietnam and other countries have also built a legal corridor to protect and prevent violations of the banking sector. This article studies the provisions of Vietnam's criminal law in comparison and evaluation with the laws of some countries around the world. The article also concludes that Vietnam needs to find effective tools to prevent crimes in the banking sector, especially international cooperation to help banks overcome challenges and create profits, competitive position, proactive adaptation, and sustainable development.

Climate risk and financial stability: Assessing non-performing loans in Chinese banks

Climate change poses significant challenges across various sectors, particularly within the financial realm, where the stability of banking systems is paramount. Non-performing loans (NPLs), as critical indicators of financial health, may be considerably influenced by climatic factors. This study delves into the impact of climate change on NPLs within the Chinese banking sector from 2010 to 2022, focusing on the influence of greenhouse gas (GHG) emissions. Utilising a comprehensive dataset and advanced econometric models (including panel quantile regression, sensitivity analysis and balanced panel data models), this research illuminates the intricate relationship between environmental changes and financial health. The research also discovers a significant climate change impact on NPLs, with increased GHG emissions leading to varied responses among banks. This variation reflects the different risk profiles and adaptive capacities of banks to climate-related financial risks. Banks demonstrating higher adaptability to climate change exhibit lower NPL ratios, underscoring the importance of strategic risk management and proactive adaptation in the banking sector. The research significantly advances the understanding of the financial implications of climate change and the interplay of climate variables with financial stability. It offers crucial insights for policy makers and banking institutions, emphasising the need to integrate climate risk into financial decision making and develop robust climate-resilient strategies for the banking sector's protection. In conclusion, the study enriches the discourse on the financial impacts of climate change and serves as an informative guide for stakeholders in navigating and addressing these emerging challenges. It underscores the necessity of embedding environmental considerations within banking practices to promote a resilient and sustainable financial system in the face of environmental uncertainties.

Research on the Path of Financial Accounting Transformation to Management Accounting in the Big Data Era

This paper explores the significance, existing problems, and strategies for addressing the transformation of financial accounting to management accounting in the era of big data. It first elucidates the importance of the transformation, including enhancing decision support, conducting cost-benefit analysis, and improving performance. Subsequently, it analyzes the problems encountered during the transformation process, such as lack of skills and knowledge, low utilization of data resources, and difficulties in system integration. It then proposes countermeasures to address these issues, including technological capacity building, talent training and recruitment, system integration coordination, and enhancement of management accounting decision analysis capabilities. Finally, it points out that as technology and market environments evolve, this transformation will continue to deepen, necessitating continuous skill enhancement for professionals in the financial accounting field and proactive adaptation by enterprises to enhance competitiveness.

Impact of Climate Change on Global Health: A Comprehensive Review

Climate change poses significant challenges to global health, with far-reaching implications for human health and well-being. This comprehensive review synthesizes evidence from diverse disciplines to elucidate the complex relationship between climate change and health. Key areas of focus include the direct impacts of extreme weather events, alterations in infectious disease transmission, air quality changes, food security issues, and mental health effects. Vulnerable populations, including low-income communities and indigenous peoples, are disproportionately affected, emphasizing the need for targeted interventions and equitable adaptation strategies. Methodologically, a search of peer-reviewed literature was conducted, covering studies published up to 2024. Both quantitative and qualitative studies were included, and thematic analysis was employed to identify patterns and trends. The review highlights gaps in current policy frameworks and international cooperation efforts, calling for enhanced collaboration and knowledge sharing to address the multifaceted challenges posed by climate change on health. Furthermore, proactive adaptation measures, robust public health infrastructure, and inclusive strategies are essential to mitigate adverse health impacts and foster resilience. By prioritizing collective action and interdisciplinary collaboration, we can work towards a healthier and more resilient future in the face of climate change.

A Digital Companion Architecture for Ambient Intelligence

Ambient Intelligence (AmI) focuses on creating environments capable of proactively and transparently adapting to users and their activities. Traditionally, AmI focused on the availability of computational devices, the pervasiveness of networked environments, and means to interact with users. In this paper, we propose a renewed AmI architecture that takes into account current technological advancements while focusing on proactive adaptation for assisting and protecting users. This architecture consist of four phases: Perceive, Interpret, Decide, and Interact. The AmI systems we propose, called Digital Companions (DC), can be embodied in a variety of ways (e.g., through physical robots or virtual agents) and are structured according to these phases to assist and protect their users. We further categorize DCs into Expert DCs and Personal DCs, and show that this induces a favorable separation of concerns in AmI systems, where user concerns (including personal user data and preferences) are handled by Personal DCs and environment concerns (including interfacing with environmental artifacts) are assigned to Expert DCs; this separation has favorable privacy implications as well. Herein, we introduce this architecture and validate it through a prototype in an industrial scenario where robots and humans collaborate to perform a task.

Abnormal amygdala volume moderates parenting and anxiety symptoms in children and adolescents with anxiety disorder

Anxiety disorders (AD) usually onset in childhood or adolescence and are related to brain development and early experiences during this period. As the hub of the fear circuit, the amygdala plays a crucial role in the development of emotional processing, and abnormalities in its structure and function are associated with anxiety disorders. We aim to uncover the amygdala volume's moderation between parenting and anxiety severity in children and adolescents with AD. 129 children and adolescents with anxiety and 135 age- and sex-matched Health controls (HC) using the publicly available Healthy Brain Network (HBN) dataset were included. Anxiety severity was measured using the Screen for Child Anxiety Related Disorders Self-report (SCARED-SR) and parenting was measured using the Alabama Parenting Questionnaire Self-Report (APQ-SR). We investigated age-related differences in amygdala volume in children and adolescents with anxiety disorders. Further, we examined the role of amygdala volume in moderating the association between parental involvement, particularly the maternal involvement, and anxiety symptoms in this population. We found larger bilateral amygdala in the AD group compared with the HC among the age range of 7–12. And increases in amygdala volume tended to negatively moderate the linear relationships between maternal involvement and anxiety symptoms in the AD group. These findings provide new evidence of abnormal brain alteration in children and adolescents with anxiety and may reflect proactive adaptations of adolescent brain development.

Valuing Water in a Changing World

This piece highlights the historic hydrological development of the American Southwest by highlighting the rapid growth of water infrastructure, present and future struggles with drought and climate change, and proactive adaptation in Santa Fe, New Mexico.

Dynamics of the Digital Workforce: Assessing the Interplay and Impact of AI, Automation, and Employment Policies

The rapid integration of artificial intelligence (AI) and automation within various sectors poses challenges and opportunities for the global workforce. This study investigates the implications of AI and automation on employment patterns, skills requirements, and remote work infrastructures. Employing a quantitative research design, data was collected through a structured questionnaire administered to 482 professionals across the information technology, healthcare, and finance sectors. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test hypotheses related to the impact of technological advancements on employment. Major findings indicate a significant, albeit complex, impact of AI and automation on employment. Most respondents recognized AI and automation as catalysts for creating new job opportunities and enhancing productivity, particularly in sectors with high integration of digital technologies. However, the study also highlighted substantial concerns regarding the widening skills gap and the adequacy of current employment policies in managing the transition. Specifically, sixty-nine percent of respondents identified a significant skills gap necessitating urgent educational and training interventions. About half of the respondents viewed existing employment policies as inadequate in addressing the challenges of rapid technological changes. The study concludes that while AI and automation are reshaping the employment landscape, creating new types of jobs, and altering skill requirements, there is a critical need for proactive adaptation strategies. Recommendations include developing targeted reskilling programs, adaptive employment policies, and robust remote work infrastructures to support an increasingly digital workforce. These strategies are essential to harness the benefits of digital transformations while mitigating potential adverse effects on employment.

Effects of three prophylactic interventions on French middle-schoolers’ mental health: protocol for a randomized controlled trial

Adolescence is a strategic developmental stage in terms of preventing later difficulties and ensuring good mental health. Prophylactic interventions, which are conducted before the onset, prolongation, or worsening of difficulties, and aim to prevent or reduce symptoms or to promote wellbeing, therefore appear particularly appropriate for adolescents. However, existing prophylactic interventions conducted with adolescents have several weaknesses, including sparse theoretical frameworks, ambivalent evidence of their efficacy, and implementation and dissemination difficulties. In addition, no data are currently available on the effectiveness of such interventions in France. To fill this gap, a four-arm randomized controlled trial will be performed to assess the effectiveness of three prophylactic interventions targeting reactive, proactive and interpersonal adaptation in fourth-grade middle-school students, together with participants’ experience and perception of the interventions. Based on existing knowledge about adolescents, their learning mechanisms, and field constraints, these three interventions have been designed to promote their learning and receptiveness to interventions. Compared with baseline (i.e., before the intervention), we expect to observe a significant decrease in the level of distress (anxiety and depressive symptoms, functional impairment, and psychosocial difficulties) and a significant increase in the level of wellbeing after the intervention, across the three intervention groups, but not in the control group. In addition, we expect to observe post-intervention improvements in the processes targeted by the reactive adaptation intervention (operationalized as coping strategy use and flexibility), those targeted by the proactive adaptation intervention (operationalized as the tendency to engage in committed actions and general self-efficacy), and those targeted by the interpersonal adaptation intervention (operationalized as assertiveness in interactions), but only in the corresponding groups, with no change in any of these processes in the control group. The results of this research will not only enrich our knowledge of the processes involved in adolescents’ distress and wellbeing, but also provide clues as to the best targets for intervention. Moreover, the material for these interventions will be freely available in French on request to the corresponding author, providing access to innovative and fully assessed interventions aimed at promoting adolescents’ mental health in France.This clinical trial is currently being registered under no. 2023-A01973-42 on https://ansm.sante.fr/. This is the first version of the protocol.

SWOC Analysis: Impact of Methodological Changes in Top 20 NIRF-ranked Management Institutions on Branding Strategy

Purpose: This study aims to investigate the impact of methodological changes in the National Institutional Ranking Framework (NIRF) on the branding strategies of the top 20 management institutions in India for the year 2023. Researcher seeks to identify how alterations in ranking parameters affect these institutions' competitive positioning and branding approaches. Design/Methodology: The study employs SWOC (Strengths, Weaknesses, Opportunities, and Challenges) analysis to examine the internal strengths and weaknesses of management institutions, as well as the external opportunities and challenges arising from shifts in NIRF ranking parameters. Data collection involves a comprehensive review of ranking methodologies, institutional profiles available from the secondary source only. Results/Discussion/Analysis: Findings reveal the nuanced impact of methodological changes on branding strategy development. Internal strengths such as academic reputation and faculty expertise can be leveraged to capitalize on new ranking criteria, while weaknesses such as infrastructure limitations may require strategic investments. External opportunities such as emerging industry trends offer avenues for differentiation, while challenges such as increased competition necessitate proactive adaptation. Outcome: The analysis provides actionable insights for management institutions to refine their branding strategies in response to evolving ranking methodologies. By aligning internal capabilities with external opportunities and effectively addressing challenges, institutions can maintain or enhance their competitive advantage in the marketplace. Originality/Value: This study contributes to the literature by offering a systematic analysis of the interplay between ranking methodology changes and branding strategy development in the context of management education. The insights generated are valuable for institutions navigating the dynamic landscape of educational rankings and seeking to optimize their positioning and visibility. Type of Paper: Exploratory Research Analysis

Adaptation measures to global change in the Serpis River Basin (Spain): An evaluation considering agricultural benefits, environmental flows, and invasive fishes

Damming and flow regulation ensure water availability during dearth periods, but they cause impacts on inhabiting biota and facilitate the establishment of Invasive Alien Species (IAS). Setting environmental flows (e-flows) has proven fundamental to ensure good ecological status of rivers, battle IAS, and sustain ecosystem services. However, ongoing climate change is further straining water resources availability and the fulfilment of e-flows in Spain, which has compelled River Basin Management Plans (RBMPs) to include specific adaptation measures. In this study, we assessed adaptation strategies addressing land use and climate change in the Serpis River (Eastern Spain), based on increasing irrigation efficiency (i.e. moving from gravity to drip irrigation). The evaluation considered two CMIP6 climate change scenarios (Shared Socioeconomic Pathways SSP1-2.6 and SSP5-8.5) for two time horizons (short term 2015–2040 and mid-term 2041–2070), together with three land use change scenarios (changes in irrigated areas and technologies). Future estimations included reservoir flow releases, e-flows fulfilment, agricultural benefits, and changes in the suitable habitat and potential competition for two native (Eastern Iberian chub Squalius valentinus and European eel Anguilla anguilla) and two invasive (common bleak Alburnus alburnus and pumpkinseed Lepomis gibbosus) fish species. Predictions indicated a decrease in the suitable habitat for eel and Eastern Iberian chub, but the established e-flows will be ensured. Although the maximum benefits will rarely be achieved, on average the modernisation expected in the RBMP would sustain agricultural incomes in the optimistic scenario (SSP1-2.6) and for the short term of the pessimistic scenario (SSP5-8.5), showing similar effects than the ongoing redistribution of agricultural plots. Habitat and competition with invasive species will experience little changes due to the strong flow regulation, although the invasive bleak would prevail in the mid-term of the most pessimistic scenario. These results highlight the necessity of proactive adaptation measures beyond those described in the RBMPs (e.g. forest management or crop substitution) to increase water availability and sustain agricultural benefits, in particular for the most pessimistic scenario. They also underscore the difficulties to counteract invasive species through streamflow management under water scarcity scenarios.

Transformation of supply chain resilience research through the COVID-19 pandemic

Supply chain resilience is on the agenda of academia and industry like never before. One strong instigator for this phenomenon has been the COVID-19 pandemic, which opened the era of global uncertainties and vulnerabilities. In this paper, we analyse the transformation of supply chain resilience research through the COVID-19 pandemic. Methodologically, we use a hybrid approach based on a combination of elements of a bibliometric and expert analysis to compare the main topics of resilience research before, during, and after the pandemic. Along with an expected observation about an exponential growth of literature on supply chain resilience in and after 2020, we observe a major shift from preparedness and disruption predictions in the pre-pandemic literature towards recovery and proactive adaptation in the pandemic and post-pandemic research. Our analysis systematically reveals some new topics, management practices, and future research areas in supply chain resilience. In particular, digital technology, supply chain viability, the cross-industry ripple effect, and intertwined networks have become new and impactful research areas during the COVID-19 pandemic. Further developments of these topics are expected to be continued in future. Managerial and theoretical implications of the said developments conclude this paper.

A longitudinal investigation of risk perceptions and adaptation behavior in the US Gulf Coast.

Climate change is occurring more rapidly than expected, requiring that people quickly and continually adapt to reduce human suffering. The reality is that climate change-related threats are unpredictable; thus, adaptive behavior must be continually performed even when threat saliency decreases (e.g. time has passed since climate-hazard exposure). Climate change-related threats are also intensifying; thus, new or more adaptive behaviors must be performed over time. Given the need to sustain climate change-related adaptation even when threat saliency decreases, it becomes essential to better understand how the relationship between risk perceptions and adaptation co-evolve over time. In this study, we present results from a probability-based representative sample of 2,774 Texas and Florida residents prospectively surveyed 5 times (2017-2022) in the presence and absence of exposure to tropical cyclones, a climate change-related threat. Distinct trajectories of personal risk perceptions emerged, with higher and more variable risk perceptions among the less educated and those living in Florida. Importantly, as tropical cyclone adaptation behaviors increased, personal risk perceptions decreased over time, particularly in the absence of storms, while future tropical cyclone risk perceptions remained constant. In sum, adapting occurs in response to current risk but may inhibit future action despite increasing future tropical cyclone risks. Our results suggest that programs and policies encouraging proactive adaptation investment may be warranted.

Adapting to Digital Transformation: Challenges and Strategies for Traditional Businesses

In the era of digital transformation, traditional businesses face numerous challenges in adapting to the evolving landscape of technology and market dynamics. This article explores the challenges and strategies encountered by traditional businesses as they navigate the process of digital transformation. Utilizing qualitative methods such as literature review and library research, this study investigates the key factors influencing the success or failure of digital transformation initiatives in traditional business settings.
 The literature review reveals several challenges that traditional businesses encounter during the digital transformation process, including organizational resistance to change, lack of digital skills and expertise, legacy systems, and cultural barriers. Moreover, navigating the complexities of data management, cybersecurity threats, and regulatory compliance adds further complexity to the digital transformation journey.
 In response to these challenges, traditional businesses adopt various strategies to facilitate their digital transformation efforts. These strategies include investing in digital infrastructure and technology, upskilling and reskilling employees, fostering a culture of innovation and agility, forging strategic partnerships with technology firms, and embracing customer-centric approaches.
 Furthermore, successful digital transformation requires effective leadership, clear communication, and a willingness to experiment and learn from failures. By embracing a growth mindset and leveraging the power of digital technologies, traditional businesses can unlock new opportunities for growth, innovation, and competitive advantage in the digital age.
 In conclusion, this study highlights the importance of proactive adaptation to digital transformation for traditional businesses to remain relevant and competitive in today's rapidly changing business environment. By understanding the challenges and implementing appropriate strategies, traditional businesses can successfully navigate the digital landscape and thrive in the digital economy.

The Role of Mangrove Forests in The Coast and Dykes West Sea Zone Protection: A Case Study in Kien Giang and Ca Mau Provinces

Purpose: The study aimed to provide a picture total of the forest and erosion status of the beach and dykes of Kien Giang and Ca Mau. Method: There are 18 sample plots for testing. The map also includes 68 survey plots that are predefined and used as a basis for positioning in the field. The measurement indicators include tree species identification. Results and conclusion: The level of erosion in Ha Tien’s forests varies based on tree density and environmental factors. The forest with no erosion has a thickness of 9,600 trees/ha and a stem diameter of 19 cm, while the extremely erosion forest has 2,000 trees/ha and a stem diameter of 6 cm. Topographically, Ha Tien has little erosion, while U Minh is a low-lying area with high erosion. Erosion levels are 1-2 in January-April, 4-5 in May-October and 3 in November-December. Currently, the section is divided into 28 sub-sections, with Kien Giang having 23. One sub-section is level 1, 11 sub-sections are level 2, 1 is level 3, 3 are level 4, and 3 are level 5. In Ca Mau, two sub-sections are level 4, and 3 are level 5. Implications of the research: With climate change and rising sea levels, erosion levels tend to increase one level in sub-section areas in the coming years. Originality/value: This study assesses forest and erosion status in Kien Giang and Ca Mau provinces, Vietnam, providing local insights into environmental challenges. It uses a rigorous methodology, analyzes erosion levels, and classifies the area into sub-sections. The study also highlights the potential impact of climate change on erosion, promoting proactive adaptation and mitigation efforts.

Climate change influences on the streamflow and sediment supply to the Chao Phraya River basin, Thailand

This study investigates the effects of climate change on the sediment loads of the Ping and Wang River basins and their contribution to the sediment dynamics of the lower Chao Phraya River basin in Thailand. The various climate models under different Representative Concentration Pathways (RCPs) scenarios are employed to project sediment loads in future. The findings indicate a significant increase in river flow approximately 20% in the Ping River (PR) and 35% in the Wang River (WR) by the mid-21st century and continuing into the distant future. Consequently, this is expected to result in sediment loads up to 0.33 × 106 t/y in the PR and 0.28 × 106 t/y in the WR. This escalation is particularly notable under the RCP 8.5 scenario, which assumes higher greenhouse gas emissions. Additionally, the research provides insights into the potential positive implications for the Chao Phraya Delta's coastal management. Without further damming in the Ping and Wang River basins, the anticipated rise in sediment supply could aid in mitigating the adverse effects of land subsidence and sea-level rise, which have historically caused extensive shoreline retreat in the delta region, particularly around Bangkok Metropolis. The paper concludes that proactive adaptation strategies are required to manage the expected changes in the hydrological and sediment regimes to protect vulnerable coastal zones and ensure the sustainable management of the Chao Phraya River Basin in the face of climate change.

Runoff projection in the Tibetan Plateau using a long short-term memory network-based framework under various climate scenarios

Runoff projections in the Tibetan Plateau (TP) can provide a valuable basis for making decisions regarding water resource management and facilitating the assessment of potential risks to water security. This study estimated the runoff of the Tibetan Plateau (TP) at a grid resolution of 0.5°for the near-term period (2022–2051) and the long-term period (2052–2082) under various climate scenarios. A framework based on long short-term memory (LSTM) was used to project the impact of climate change on runoff by integrating input selection, LSTM modelling and runoff projection application. This novel framework was used to determine the variables that contribute to runoff occurrence in different grid cells, analyze the relationship between these variables and runoff, and predict how runoff may change in the future due to precipitation, temperature, and antecedent runoff under various climate scenarios. The projected results showed that the runoff would be approximately 450 mm/a for the period from 2022 to 2051 and approximately 465 mm/a during the period from 2052 to 2082, representing an increase of about 46 % compared to the period from 1982 to 2012. Future runoff will increase in a decreasing pattern from the southwest to the northeast across the TP region. These findings regarding the projected increase in runoff will assist in the development of proactive adaptation strategies and support long-term economic growth through effective water resource management plans.

Predicting Nonfunctional Requirement Violations in Autonomous Systems

Autonomous systems are often used in applications where environmental and internal changes may lead to requirement violations. Adapting to these changes proactively, i.e., before the violations occur, is preferable to recovering from the failures that may be caused by such violations. However, proactive adaptation needs methods for predicting requirement violations timely, accurately, and with acceptable overheads. To address this need, we present a method that allows autonomous systems to predict violations of performance, dependability and other nonfunctional requirements, and therefore take preventative measures to avoid or otherwise mitigate them. Our method for pre dicting these autonomou s sys t em disrupti o ns (PRESTO) comprises a design time stage and a run-time stage. At design-time, we use parametric model checking to obtain algebraic expressions that formalise the relationships between the nonfunctional properties of the requirements of interest (e.g., reliability, response time, and energy use) and the parameters of the system and its environment. At run-time, we predict future changes in these parameters by applying piece-wise linear regression to online data obtained through monitoring, and we use the algebraic expressions to predict the impact of these changes on the system requirements. We demonstrate the application of PRESTO through simulation in case studies from two different domains.

Adaptation of a logistics company`s business model in the era of digitalization

The article is devoted to the study of the adaptive capabilities of logistics companies in the conditions of global digitalization. The developed conceptual model of logistics company adaptation defines the tasks, principles, components, and stages of adaptive management, allowing the logistics company to obtain a synergistic effect from the implementation of the model as a complete system, provides an opportunity to improve the quality of management, forming a proactive adaptation management mechanism. Taking into account modern trends, in the conceptual model adaptation and sustainable development are highlighted as its main components, since sustainable development is based on compliance with the principles of environmental sustainability and social responsibility, adaptation is defined as a tool for the effective implementation of these principles in a logistics company in a changing environment. It was determined that to make corrective changes to the existing business model, it is necessary to assess the existing level of adaptability of the logistics company. To implement this approach, a system for evaluating the effectiveness of adaptive management of business processes of a logistics company has been developed, which consists of 7 subsystems, having a variable character, oriented to any stage of the company's digitalization. Applying a comprehensive approach to the system of evaluating the effectiveness of adaptive management based on the calculation of integral criteria for each subsystem is justified, which are summarized in a total integral indicator that summarizes the influence of all factors and determines the degree of adaptability of the logistics company's business model.

Estimating added roadway GHG emissions from climate change effects and related adaptations

Civil infrastructure is vulnerable to climate-based event impacts that are increasing. A comparative with-and-without simulation-based GHG emissions change estimation methodology is proposed for estimating the changes in roadway transportation-related GHG emissions, a key contributor to climate change, from repairs required to mitigate damage and the execution of adaptations taken to prevent future damage. Riverine flooding from precipitation, coastal flooding from surge and high tide, and pavement deterioration from high temperatures and dry conditions are considered. A GHG emissions-based link criticality index is developed for identifying links for proactive adaptations. The tool provides insights for climate impact reduction policy creation and evaluation, and can aid in assessing the effectiveness of roadway infrastructure investment plans for combatting climate change effects. The methodology is illustrated on a case study in Northern Virginia. The results uncover how climate change events and actions taken can exacerbate conditions that accelerate climate change in the long term.