Adaptation Process Research Articles

Cross-cultural adaptation and measurement properties of the Brazilian Portuguese Version of the Parkinson’s Disease Sleep Scale (PDSS-2)

ObjectivesThe Parkinson’s Disease Sleep Scale-2 (PDSS-2) is an updated tool designed to identify specific sleep disturbances in individuals with Parkinson’s disease (PD). However, for its application in Brazil, a process of cross-cultural adaptation and validation of measurement properties was required. MethodsThis methodological study adapted the PDSS-2 to Brazilian Portuguese (PDSS-2-Br) and assessed its measurement properties (Internal consistency, test-retest reliability, measurement error, construct validity, and interpretability). The adapted scale was then tested on 2 occasions within an interval of 7 days, to 50 individuals with PD. Test–retest reliability was evaluated using kappa statistics (k) for the individual items, intraclass correlation coefficient (ICC) for the total scores, standard error of measurement (SEM), minimal detectable change (MDC) and Bland-Altman plot. Construct validity was assessed through Spearman correlation coefficients between the PDSS-2-Br and independent variables, while interpretability was evaluated by examining ceiling and floor effects. ResultsPDSS-2-Br showed satisfactory semantic, idiomatic, cultural, and conceptual equivalence. It also demonstrated good internal consistency (α=0.64), adequate test-retest reliability between items (κw 0.42-0.94, 95% CI=0.30-0.95) and total score (ICC=0.94; 95% CI=0.89-0.96), acceptable measurement error (SEM, 2.07 points; MDC, 5.74 points), absence of ceiling and floor effects, and 87,5% of pre-defined hypotheses were confirmed, indicating adequate construct validity (Spearman correlations coefficients for the rs=0.50, p<0.001) of the PDSS-2-Br. ConclusionThe measurement properties of the PDSS-2-Br are equivalent to those of the original version, and the scale has been validated and confirmed as reliable to measure sleep disorders among the Brazilian population with PD.

Application of Extreme Machine Learning for Smart Agricultural Robots to Reduce Manoeuvering Adaptability Errors

The agricultural robots limit complicated manoeuvring jobs, reducing the need for human intervention. Automation and control of these robots are performed by observing and practising the crop type, regulations, and external weather conditions. This article proposes and discusses a Manoeuvering Adaptable Task Processing Model (MATPM). This model is designed to improve the adaptability and precision of agricultural robots coinciding with farming and climatic conditions. For this purpose, extreme machine learning is employed to learn, align, and respond to external conditions to improve precise manoeuvring. The external impacting features and their adaptability to the crop and climatic conditions are valued using the learning process. In this process, maximum adaptability is considered to improve precision agriculture. The tasks are then classified based on adaptability and executed sequentially. If an unpredictable impacting factor hinders a task, then the adaptability is paused from training and it improves the chances of training by using different completed and paused tasks from the previous manoeuvring processes. Therefore, precision in smart farming and robot system adaptability is ensured with fewer adaptability errors. From the comparative assessment, the proposed model improves adaptability by 8.71 % and precision by 11.44 %, with 8.96 % less adaptability error for various tasks/ day.

Differential neural network based adaptive average output feedback control design for dosage determination on cancer based immunotherapy treatment

Immunotherapy involves natural and synthetic substances to stimulate the body’s immune response. This treatment approach is practical not only for addressing immune deficiencies but also for combating malignancies. This paper describes a non-parametric approximated adaptive control process for managing cancer dynamics under immunotherapy treatment, utilizing a combination of a differential neural network (DNN) observer and nonlinear control techniques such as sliding mode and local optimal strategies. By employing the state estimation and control methods, close tracking between the estimated states provided by the neural network and the cancer model dynamics is possible. Internal model reconstruction and an observer provided by a variable structure model are essential for controlling unknown plants. Furthermore, the control design has successfully reduced tumor cells despite uncertainties and external perturbations affecting cancer dynamics. This robustness enhances the reliability of the proposed design. A virtual real-time scheme was developed to demonstrate this controller’s feasibility in real clinical scenarios. In this scheme, a simulated patient generates variables of immunotherapy dynamics as electrical signals, which are then analyzed by a real-time project.

Grapevine and maize: Two guard cell shaped strategies to cope with repeated drought stress

Adaptation of crops to recurrent drought stress is crucial for maintaining agricultural productivity and achieving food security under changing climate. Guard cells, pivotal regulators of plant water usage and assimilation, are central to this adaptation process. However, the metabolic dynamics of guard cells under drought stress remain poorly understood, particularly in grapevine, a prominent crop grown in arid regions, and maize, a staple crop with substantial water requirements. In this study, differences in guard cells metabolism during drought stress of grapevine and maize were investigated by performing physiological and metabolomic analyses. Metabolomic analysis highlighted differential responses in amino acids and sugars, with grapevine guard cells displaying greater stability in amino acid and sugar signatures, while maize showed marked increases in sugar levels. These findings suggest two distinct adaptive strategies, a vigorous acclimation of guard cells, as observed in maize, and an attenuated acclimation of guard cells, shown in grapevine. Understanding these metabolic adjustments is helpful for enhancing drought resilience in agricultural systems.

Emerging Trends in Real-time Recommendation Systems: A Deep Dive into Multi-behavior Streaming Processing and Recommendation for E-commerce Platforms

This paper aims to assess the effectiveness of recommendation systems, focusing on multi-behavior streaming processing to enhance accuracy. It studies recommendation system performance using AI and data science, focusing on user behaviour, algorithm refinement, and satisfaction. E-commerce, streaming, and social media datasets with 93 anonymous participants were employed in experiments. These files from 93 anonymized users show typical internet use. Data anonymization and strict data management ensured anonymity. These databases track clicks, views, purchases, and ratings for empirical research and model evaluation. Collaborative filtering, matrix factorization, and TensorFlow/Keras train and assess application-specific recommendation models. Multi-behavior streaming processing and recommendation accounts assess each method's pros and downsides, system correctness, efficacy, and user involvement. The outcome compares domain-wide recommendation system precision, recall, NDCG, and conversion rate. Multi-behavior streaming processing adapts to user preferences and interactions to improve model accuracy and adaptability. Multi-behavior streaming processing improved model accuracy and flexibility by reacting to user inputs and choices. With error margins for all significant metrics, statistical significance was confirmed. The findings suggest that recommendation systems with real-time adaptation and multi-behavior streaming processing can improve user satisfaction and engagement in the changing digital landscape. It encourages algorithm advancement, model interpretation, user-centric evaluation, and ethics to improve information retrieval and personalisation. The study concluded that algorithm refinement, transparent model interpretation, user-centric evaluation, and ethical problems including data protection and bias mitigation increase information retrieval and personalisation. For durable and flexible recommendation systems, research should improve multi-behavior processing and sectoral applications.

Impact of February 6, 2024 Earthquakes on Community Resilience

This study explores the interaction of people and place, the most important elements of geography, in the context of community resilience. Community resilience is the process of adaptation of a society to changing conditions by recovering from the effects of disasters as soon as possible. A resilient community is considered one of the most important components of disaster respons. In the context of increasing disaster risks, interest in increasing community resilience is growing in both academic and policy circles. This study seeks to understand how individuals affected by the February 6, 2023, earthquakes perceive resilience. These interviews were conducted as qualitative research. Typical case sampling was used in the study. Participants were selected from individuals who had experienced both earthquakes (January 24, Elazig and February 6, 2023, Kahramanmaraş) and equal gender distribution was sought. Interviews were conducted on July 15 and August 15, 2023, six months after the second earthquake. Interviews were conducted with 22 people, consisting of 11 female and 11 male earthquake survivors from Elazig, Kahramanmaraş, and Malatya, the three provinces affected by the earthquake. A descriptive analysis of the opinions obtained after the interviews was conducted. Similar answers were brought together, and conclusions on social resilience were evaluated in terms of social, environmental, economic, built, natura, and institutional environment dimensions.

How Do Teachers Survive? Turkish Adaptation of Selection, Optimization, and Compensation Strategies Scale

The continuous development of professional competencies and active retention of teachers in the field, stemming from alterations in their professional life cycles, are intrinsically connected to the necessity of lifelong learning for teachers. The model of selection, optimization, and compensation (SOC) strategies can be used to gain insight into the ways in which teachers manage their resources to remain in the profession, how they adapt to their professional lives in the context of lifelong learning, and how to develop effective policies to support the professional development of teachers. Although previous research has emphasized the primary factors that influence teachers' professional development and motivation, there is a scarcity of research on the strategies that teachers use to maintain their employment. In order to fill this gap, this study aims to adapt the Selection, Optimization, and Compensation Scale (SOCQ) (Zacher &amp; Frese, 2011), which emphasizes the strategies that teachers use to remain effective in their professional lives, into Turkish. The sample of the study consisted of 299 teachers working in schools in Çekmeköy district of Istanbul province. In the adaptation process of the scale, Turkish translation, back translation, cross-checking, and Turkish face validity stages were followed. Confirmatory Factor Analysis (CFA) was conducted to evaluate the construct validity of the scale. The CFA revealed excellent fit indices for the scale. Consisting of 12 items and three dimensions, the reliability of the scale was evaluated using Cronbach Alpha internal consistency coefficient and composite reliability coefficient (CR). The internal consistency coefficient was 0.81, while the CR value was 0.902. The study's findings demonstrate that the Turkish version of the SOCQ is a valid and reliable tool for assessing teachers' use of SOC strategies.

Establishment of a locally adaptive allele in multidimensional continuous space.

Local adaptation is widely seen when species adapt to spatially heterogeneous environments. Although many theoretical studies have investigated the dynamics of local adaptation using two-population models, there remains a need to extend the theoretical framework to continuous space settings, reflecting the real habitats of species. In this study, we use a multidimensional continuous space model and mathematically analyze the establishment process of local adaptation, with a specific emphasis on the relative roles of mutation and migration. First, the role of new mutations is evaluated by deriving the establishment probability of a locally adapted mutation using a branching process and a diffusion approximation. Next, the contribution of immigrants from a neighboring region with similar environmental conditions is considered. Theoretical predictions of the local adaptation rate agreed with the results of Wright-Fisher simulations in both mutation-driven and migration-driven cases. Evolutionary dynamics depend on several factors, including the strength of migration and selection, population density, habitat size, and spatial dimensions. These results offer a theoretical framework for assessing whether mutation or migration predominantly drives convergent local adaptation in spatially continuous environments in the presence of patchy regions with similar environmental conditions.

Impact of Virtual Reality on Brain–Computer Interface Performance in IoT Control—Review of Current State of Knowledge

This article examines state-of-the-art research into the impact of virtual reality (VR) on brain–computer interface (BCI) performance: how the use of virtual reality can affect brain activity and neural plasticity in ways that can improve the performance of brain–computer interfaces in IoT control, e.g., for smart home purposes. Integrating BCI with VR improves the performance of brain–computer interfaces in IoT control by providing immersive, adaptive training environments that increase signal accuracy and user control. VR offers real-time feedback and simulations that help users refine their interactions with smart home systems, making the interface more intuitive and responsive. This combination ultimately leads to greater independence, efficiency, and ease of use, especially for users with mobility issues, in managing IoT-connected devices. The integration of BCI and VR shows great potential for transformative applications ranging from neurorehabilitation and human–computer interaction to cognitive assessment and personalized therapeutic interventions for a variety of neurological and cognitive disorders. The literature review highlights the significant advances and multifaceted challenges in this rapidly evolving field. Particularly noteworthy is the emphasis on the importance of adaptive signal processing techniques, which are key to enhancing the overall control and immersion experienced by individuals in virtual environments. The value of multimodal integration, in which BCI technology is combined with complementary biosensors such as gaze tracking and motion capture, is also highlighted. The incorporation of advanced artificial intelligence (AI) techniques will revolutionize the way we approach the diagnosis and treatment of neurodegenerative conditions.

Literature Review : Dampak Merger Bank Syariah Indonesia (BSI) Terhadap Karyawan dan Nasabah

This research aims to analyze the impact of the merger of Bank Syariah Indonesia (BSI) on employees and customers, using a literature review method that follows PRISMA guidelines. Data were collected from Google Scholar with related keywords, yielding 6,590 results, and 10 relevant articles were selected based on inclusion and exclusion criteria. The research results show that the merger of three state-owned sharia banks, namely Bank Syariah Mandiri, BNI Syariah, and BRI Syariah aims to increase competitiveness and efficiency in the national financial system, as well as provide better services to customers. In this merger, employees experience changes in organizational structure and work culture, and welfare, which requires a process of adaptation and adjustment. Meanwhile, the impact for customers of this merger is to offer convenience and comfort in banking services. Overall, this merger has had a positive impact in terms of improving service quality and satisfaction for both BSI employees and customers.

Cultural Adaptation and User Satisfaction of an Internet-Delivered Cognitive Behavioral Program for Depression and Anxiety Among College Students in Two Latin American Countries: Focus Group Study With Potential Users and a Cross-Sectional Questionnaire Study With Actual Users.

To scale up mental health care in low-resource settings, digital interventions must consider cultural fit. Despite the findings that culturally adapted digital interventions have greater effectiveness, there is a lack of empirical evidence of interventions that have been culturally adapted or their adaptation documented. This study aimed to document the cultural adaptation of the SilverCloud Health Space from Depression and Anxiety program for university students in Colombia and Mexico and evaluate user satisfaction with the adapted program. A mixed methods process was based on Cultural Sensitivity and Ecological Validity frameworks. In phase 1, the research team added culturally relevant content (eg, expressions, personal stories, photos) for the target population to the intervention. In phase 2, potential users (9 university students) first evaluated the vignettes and photos used throughout the program. We calculated median and modal responses. They then participated in focus groups to evaluate and assess the cultural appropriateness of the materials. Their comments were coded into the 8 dimensions of the Ecological Validity Framework. Phase 3 consisted of choosing the vignettes most highly rated by the potential users and making modifications to the materials based on the student feedback. In the final phase, 765 actual users then engaged with the culturally adapted program and rated their satisfaction with the program. We calculated the percentage of users who agreed or strongly agreed that the modules were interesting, relevant, useful, and helped them attain their goals. The potential users perceived the original vignettes as moderately genuine, or true, which were given median scores between 2.5 and 3 (out of a possible 4) and somewhat identified with the situations presented in the vignettes given median scores between 1.5 and 3. The majority of comments or suggestions for modification concerned language (126/218, 57.5%), followed by concepts (50/218, 22.8%). Much less concerned methods (22/218, 10%), persons (9/218, 4.1%), context (5/218, 2.3%), or content (2/218, 0.9%). There were no comments about metaphors or goals. Intervention materials were modified based on these results. Of the actual users who engaged with the adapted version of the program, 87.7%-96.2% of them agreed or strongly agreed that the modules were interesting, relevant, useful, and helped them to attain their goals. We conclude that the adapted version is satisfactory for this population based on the focus group discussions and the satisfaction scores. Conducting and documenting such cultural adaptations and involving the users in the cultural adaptation process will likely improve the effectiveness of digital mental health interventions in low- and middle-income countries and culturally diverse contexts.

Change in self-construal: a repertory grid technique study of women admitted to a Mother and Baby Unit

IntroductionPregnancy and the postnatal period represent a time of heightened risk for women to experience mental health difficulties. Some mothers may require specialist inpatient psychiatric support made available through Mother and Baby units (MBUs). Although there is evidence of the therapeutic benefits of MBUs, many studies have utilised methodologies vulnerable to interviewer and social desirability biases. The repertory grid technique (RGT), derived from personal construct theory (PCT), has been successfully used to explore how the way in which a person thinks about and defines the self (i.e., self-construal) changes following therapeutic intervention in samples of people experiencing mental health conditions. Therefore, this study aimed to explore change in maternal self-construal following MBU admission, utilising the RGT, thereby enhancing our understanding for the therapeutic role of MBU admissions in women’s mental health recoveries.MethodsParticipants were recruited from two MBUs in England. RGT was undertaken with participants shortly after admission and again at discharge, allowing for comparisons between grids to assess change in how a mother viewed herself in relation to certain aspects of the self (e.g., ideal self) and other people, a concept referred to as construing in PCT. Data were analysed using principal component analysis, Slater analysis, and content analysis.ResultsThere were 12 participants who completed repertory grids at admission, with eight (66.67%) participants also completing discharge grids. Most of the eight participants demonstrated improvements in overall self-esteem and self-esteem as a mother, a shift towards a more positive self-perception, and increased construed similarity between the self and positively construed others, and construing became more varied. Conversely, a few participants displayed a reduction in self-esteem, particularly in the maternal role and increased construed similarity between the self and negatively construed others, and construing became more rigid.ConclusionsAll participants exhibited changes to construing during their MBU admission, with most participants displaying positive changes to self-esteem and self-perception and a more adaptive process of construing. Potential implications are offered for service users, families, clinicians, and stakeholders. Recommendations for future research are also provided.

Institutionalist Thought: Ceremonial-Instrumental Dichotomy of the Veblen-Ayres Tradition

Veblen and Ayres’ ceremonial-instrumental dichotomy is considered the analytical core of Old Institutional Theory (OIT). This view offers a distinct perspective for analyzing economic issues. The object of economics is studied at the level of cultural generalization, not individual generalization (as neoclassicists do). Human behavior is understood as a process of cumulative adaptation to contextual circumstances. Thus, understanding the meaning of the dichotomy – of doing things and making social distinctions, and of its application to illuminate modern economic problems – deserves attention. This systematic literature review describes the main theoretical, analytical, methodological, and empirical contributions to the ceremonial-instrumental dichotomy of the Veblen-Ayres tradition. To this end, articles on the topic published in the last 46 years were reviewed, which resulted in the analysis of 45 articles, which can be classified as a) conceptual b) methodological; c) empirical, and d) literature reviews. This body of analysis provided insights that lead to inferring the possibility of research in different fields of social sciences.

Role adaptation of nurses caring for older adults with terminal diseases in geriatric hospitals.

To understand the role adaptation process of nurses caring for older adult patients with terminal diseases in Chinese geriatric hospitals. The Chinese government has been encouraging the conversion of secondary general hospitals and some tertiary hospitals into specialized geriatric hospitals; however, research on nurses' adaptation to caring for older adult patients with terminal diseases in these hospitals is lacking. Individual in-depth interviews were conducted with 13 registered nurses with a minimum of two years of experience caring for older adults with terminal diseases. Following Glaserian grounded theory, open, selective, and theoretical coding were conducted for data analysis. The study followed the Consolidated Criteria for Reporting Qualitative Research checklist. "Guards of the shining sunset" emerged as the core category. Participants experienced three stages: "chaotic me," "rational me," and "inclusive me." They highlighted two causes, three contexts, two intervention conditions, three strategies, and two consequences. The study shows that nurses play a key role in "guarding the shining sunset" of older adult patients with terminal diseases. The observed role adaptation process provides theoretical support for interventions to assist nurses in becoming inclusive "guards of the shining sunset." Nurses play a unique role as guardians protecting the end-of-life quality of elderly patients. Their role needs to be expanded and strengthened via effective coping strategies and comprehensive legal, education, welfare, and professional promotion support policies. The substantive theory offered by this study may be applied by nurses, department leaders, geriatric hospital managers, and national-level institutions to underpin future interventions and improve role adaptation.

Professionalism assessment of students in clinical education through Situational Judgment Test (SJT).

The study aims to assess the situational judgment capability of students in various professions, including medicine, surgical nursing, anesthesia nursing, and emergency medical technology, using a validated and adapted Situational Judgment Test (SJT). The cross-sectional study was conducted at Qom University of Medical Sciences in 2023-2024. The study consisted of two steps: (1) adaptation and validity assessment of the SJT in various health professions, and (2) evaluation of students' situational judgment capability using the adapted SJT. Participants included 207 students from surgical nursing, anesthesia nursing, medicine, and emergency medical technology departments, selected through stratified random sampling. The SJT included 10 constructed-response scenarios developed by Alkhuzaee and colleagues in 2022. The validation and adaptation process utilized consensus methods, and the SJT was modified to a selected response format based on a knowledge-based approach. Scores ranged from 0 to 30. Cohen's method and norm-referencing standard deviation were used to calculate a cut-off score. Data were analyzed using descriptive statistics (frequency, mean, standard deviation) and inferential statistics (independent t-test, ANOVA, and ANCOVA). The face and content validity of the adapted SJT with a selected-response format was confirmed by expert agreement. The reliability of the SJT was approved, with a Cronbach's Alpha of 0.81. The mean score of students' situational judgment in professionalism was 11.90 (SD 4.54). Students' professions significantly impacted their situational judgment scores (F (3.201) = 3.67, p = 0.01, Partial Eta Squared = 0.052). The adaption and validation of SJT with a selected response format were confirmed by experts who evaluated the situational judgment capabilities of students in different clinical professions. The reliability of the SJT was acceptable-Cohen's method as a standard-setting approach assisted in identifying students needing support and training. The moderate level of situational judgment capacity confirmed the development of the educational program for the improvement of non-cognitive and non-technical skills such as judgment and decision-making in the field of professionalism.

A Scoping Study of Cultural Adaptation Frameworks.

Translating evidence-based intervention in public health is important to improve health behaviors and other outcomes and reduce health disparities. Culturally adapting intervention is one approach to reaching different cultural groups. The goals of this paper were to compile definitions of program adaptations, identify processes and steps in cultural adaptations, and pose recommendations for future research related to cultural adaptations. We performed a scoping review of cultural adaptation frameworks or models for public health. Studies were coded for definitions of adaptation, cultural adaptation, other cultural concepts, process steps, community engagement, and public health topic. We found 15 frameworks that described cultural adaptation concepts and processes, and nine had varying definitions of cultural adaptations. All frameworks included tasks of information gathering about the community and developing a preliminary adapted program; over 50% had making refinements to the adapted program after some pilot testing. Only one framework mentioned the role of experts in the adaptation or enhancement process, and one mentioned dissemination. Thirteen articles (86.7%) reported the inclusion of community engagement in the adaptation process. These data present key definitions related to cultural adaptation and themes related to the process of cultural adaptation. We also report on key steps for conducting cultural adaptations. Findings can be utilized to guide future adaptations of evidence-based interventions to ensure culturally competent research and practice.

Social integration and risky sexual behaviors among international migrants in China: a cross-sectional study.

International migrants are vulnerable to sexually transmitted infections, and their flow may accelerate the related virus (e.g., HIV, HCV, and syphilis) transmission. When international migrants enter a new environment, there will be a process of adaptation in all areas of life, and social integration plays an important role in international migrants' daily life. This study aimed to explore the influence of social integration on the risky sexual behaviors of international migrants in China and provided evidence both for healthcare intervention and global health development. A cross-sectional survey was conducted between January and September 2021 among international migrants who lived in China by snowball sampling method. Descriptive statistics were used to analyze the basic characteristics and risky sexual behaviors of international migrants. Multivariable logistic regression analyses were used to identify the influencing factors of risky sexual behaviors. In total, 1433 international migrants were incorporated into the study. There were 23.10% (331) participants who considered their Chinese fluent, and 34.40% (493) considered it hard. The average number of Chinese friends they frequently interact with was (5.45 ± 2.16), and 77.60% (1112) of international migrants often attend activities held by Chinese people with 84.86% (1216) having a Chinese name. The probability of engaging in risky sexual behaviors was higher among people with lower Chinese or English level. Moreover, participants with fewer Chinese friends frequently interacted with had more unprotected sexual behaviors. People who did not often attend activities held by Chinese people had more multiple sexual partners (AOR 1.441; 95%CI 1.019,2.039) and unprotected sexual behaviors (AOR 1.523; 95%CI 1.006,2.306). Social integration was related to the prevalence of risky sexual behaviors among international migrants. Improving Chinese level, increasing social interaction with locals as well as maintaining a healthy lifestyle may help decrease risky sexual behaviors. Therefore, more attention should be paid to social integration among international migrants, helping them integrate into local society, and promote their health condition to effectively address the health challenges faced by them in a globalized world.

Interfaces do Método de Leitura da Paisagem e Sistemas de Informações Geográficas (SIG): contribuições do estudo das Unidades de Paisagem para o ensino-aprendizagem no Ateliê de Projeto Urbano

The interdisciplinary and multiscale methodological approach presented here seeks to understand the biogeophysical support in repeated interactions with society, highlighting the process of socio-spatial production. It outlines the structuring and adaptation of the Landscape Reading method for didactic workshops in Geographic Information Systems, as a result of the GIS research project applied to Landscape Planning developed in (omitted for blind reading). Structuring such method adapted to geotechnology tools and environmental modeling in a GIS environment proved to be of great value for application in Architecture and Urbanism undegraduate courses, which is undergoing an important process of teaching-learning design methodological adaptation, especially in the areas of landscape, urbanism, and urban and regional planning.

Regional climate change adaptation planning in Canada: Actors and their articulation

AbstractClimate change governance presents challenges and most of the responsibility for it is offloaded to local governments often ill‐equipped to deal with it. In Canada, where climate extremes are on the rise, regional adaptation governance structures have emerged as an avenue for more efficient adaptation. Governance at this scale has the potential to mutualize expertise and means, to involve local population, and favour a vertical integration of the adaptation process. From selected examples of regional collaboration on climate change adaptation, in this short viewpoint paper, we identify some factors favouring such initiatives. The presence of “boundary organizations” such as research centres or non‐governmental organizations that can act as catalysts, is a predictor in all our cases and has been proposed in literature before. Funding opportunities can of course offer a strong incentive for various actors to get together. Other factors such as geographical or cultural particularities can shape communities’ response to the stress of climate change. More research should be led into understanding these factors and translate them into policies favouring the emergence of regional adaptation instances, especially in rural coastal zones, in Canada.

Exploring Waqf Management Transformation: Opportunities and Challenges (Case Study in Ismuhu Yahya Foundation Pontianak)

This study aims to explore the impact of technology implementation on the efficiency of waqf management in the non-profit organization Ismuhu Yahya Foundation Pontianak. Currently, waqf is undergoing a transformation as a result of advances in digital technology. As one of the important social and humanitarian services, an in-depth understanding of the adaptation process is needed to make this digital transformation work. This research uses a qualitative approach with a case study method to explore the impact of waqf management transformation, as well as to understand the ongoing digitalization process. Through interviews, direct observation, and review of relevant documents, this research explores the changes that occurred in waqf management at Ismuhu Yahya Foundation Pontianak. The results show a significant improvement in the efficiency of waqf management, including administrative cost savings and increased transparency. In addition, this research provides some novelty and unique contributions. First, by raising the topic of digital transformation in waqf management, which has not been widely studied, this research brings novelty by introducing a theme that is relevant to current technological developments. Secondly, as an in-depth local case study, the selection of Ismuhu Yahya Foundation provides new value as not many researchers have explored local areas with a qualitative approach. Third, the specific opportunities and challenges faced during the transformation process. Fourth, this study also found changes in the interaction between waqif (waqf giver) and nazir (waqf recipient). Finally, this study can contribute to the development of theories on waqf management, particularly in the context of digital transformation, which can serve as a foundation for future research and implementation.