Practical Implications Research Articles

An Overview of the Prevalence and Effects of Back Pain among Nurses in Zambia

Topic: This mini-review addresses the critical issue of back pain among nurses in Zambia, highlighting the occupational health challenges they face within a resource-limited healthcare system. Type of Review: This is a literature mini-review synthesizing recent research findings and theoretical frameworks relevant to back pain in nursing. Main Focus: The review focuses on the prevalence, causes, and potential interventions for back pain among Zambian nurses, emphasizing the need for culturally relevant health messaging and systemic changes within the healthcare environment. Gaps Identified: While existing literature outlines various factors contributing to back pain, there is a notable lack of longitudinal studies assessing the long-term effectiveness of proposed interventions, as well as limited exploration of broader systemic issues within the Zambian healthcare infrastructure. Conclusions: Addressing back pain among Zambian nurses requires a comprehensive approach that includes tailored educational initiatives, effective workload management, and improvements in ergonomic support within healthcare settings. Practical Implications: The findings suggest actionable strategies for healthcare institutions to enhance nurse well-being, which in turn can improve patient care quality. Policy Implications: Policymakers are encouraged to implement systemic changes that address staffing shortages and improve workplace ergonomics, thereby fostering a healthier work environment for healthcare professionals. Relevance: This mini-review contributes to the ongoing discourse on occupational health in resource-limited settings, offering insights that are valuable for researchers, healthcare practitioners, and policymakers striving to enhance the working conditions and health outcomes for nurses worldwide.

From living heritage values to value-based policymaking: exploring new indicators for Abu Dhabi’s sustainable development

This exploratory study offers an analysis of Abu Dhabi’s living heritage ecosystem. It borrows from approaches predominantly used in the healthcare field and develops a value-based framework that provides a broader understanding of heritage and its integration into innovation, economic development, and societal change in Abu Dhabi. This framework includes three steps: (1) identification of the individual heritage values (‘heritage drivers’) through ethnographic interviews; (2) aggregation of the dynamics impacting the practical realization of these values and relative identification of value-based policymaking areas; and (3) suggestion of an approach that builds indicators to assess the impact of living heritage policies contributing to the achievement of the UN SDGs and their relevance to grassroots ‘heritage drivers’. This study also addresses the existing methodological gap in qualitative surveys focusing on Abu Dhabi’s cultural landscape, which is characterized by ongoing transformations. The UAE’s current social, economic, and political conditions continuously shape Abu Dhabi’s approach to using its rich tangible and intangible heritage as a catalyst for new articulations between the ‘local’ and the ‘global’. Even if the epistemological approach suggested in this paper is far from exhaustive, the interdisciplinary aspect of this research has practical implications that may be useful for international researchers and policymakers working in a variety of fields.

Origin of the Fourth Industrial Revolution: manufacturing predictions preceding Industrie 4.0

Purpose The Fourth Industrial Revolution is a prominent area of interest in the field of manufacturing that is bringing about revolutionary changes. In this study, the authors sought to determine whether professionals in academia or industry could have predicted the composition of advanced technologies associated with Industry 4.0 before Germany's Industrie 4.0 policy announcement. The purpose of this paper is to use the process for identifying technologies that can be included in industrial policy to improve national competitiveness in manufacturing. Design/methodology/approach Relevant documented research from 2000 to 2012 was identified and captured using a systematic literature review. The significant technological advancements during this period were analyzed to determine how technological innovations may have affected predictions about the future of manufacturing. The identified predictions were analyzed using an open-source natural language processing code that clustered relevant topics in the predictions that indicated common themes. The results were then compared to the ideas within “Industry 5.0”. Findings The results of this study showed that an aggregate analysis of manufacturing predictions would have preemptively revealed the Fourth Industrial Revolution and could have been used to inform industrial policy that could accelerate technology adoption. Also, contrary to popular belief, the popular Industry 5.0 is a sematic exemplification of a concept already embedded within the origins of the Fourth Industrial Revolution. Practical implications By examining the provenance of the Fourth Industrial Revolution, lessons are learned that bring light to Industry 4.0 and the measures that can be taken to enable the advancements that it brings. The results of this study show that is would be wise for government policymakers to enact programs that monitor the manufacturing predictions coming out of academia and to analyze them aggregately using natural language processing as a means to identify the next evolutions and revolutions and to mobilize policymakers to enhance outcomes of enacting policy. Originality/value Despite high hopes for the realization of Industry 4.0, there has been little discussion about the technological innovations and events that occurred to enable it. To the best of the authors’ knowledge, this is the first study that has determined that an aggregate analysis of manufacturing predictions would have preemptively revealed the Fourth Industrial Revolution. The success of the methodology used in this study has theoretical implications in support of natural language processing (NLP) being used to inform national policy.

Exploratory mixed methods investigation of time commitment in youth sport and physical activity: families’ experiences and satisfaction during the pandemic, and intentions for post-pandemic engagement

ABSTRACT Purpose/rationale: The COVID-19 pandemic drastically changed families’ time commitments for youth sport and physical activity (SPA). Guided by Social Ecology Theory, experiences and associated levels of satisfaction with these changes are explored, as well as intentions for post-pandemic engagement. Design/methodology/approach: Interviews with families (n = 14) informed the creation of a questionnaire that was distributed to 550 Ontarian families. Findings: Parents were satisfied with lower time commitment of youth SPA during the pandemic and would have liked to engage in less travel for youth SPA and fewer organized activities post-pandemic. However, families largely intended on increasing or reverting to their travel time for and diversity of activities post-pandemic, compared to pre-pandemic, suggesting that parents intend to support their children’s SPA preferences, regardless of their own. Practical implications: Given that parents intend to support their children’s SPA commitment preferences, tactics to ease the time demands on parents can be developed to provide greater value propositions for families. Research contribution: Two main consumer groups of youth SPA (i.e. parents and youth) can have differing preferences for their experiences. Originality/value: This study revealed conflicting experiences and preferences of two distinct consumer groups for youth SPA.

The Relevance of Indicator Assessment for Planning and Decision-Making in Urban Monitoring

Objective: The objective of this study is to investigate the application of information systems in urban monitoring management, specifically focusing on the analysis of indicators that can support decision-making. The study aims to explore which indicators are associated with monitoring management, their correlations with various provided services, and the triggers that activate these services. Theoretical Framework: This research is grounded in Contingency Theory, which posits that organizational effectiveness is contingent on how practices are adapted to specific contexts. Key concepts include the integration of information systems, data-driven decision-making, and urban management efficiency. Method: The methodology employed involves a combination of quantitative and qualitative data collection and analysis methods. This approach provides a comprehensive and contextualized understanding of urban monitoring operations. Data collection methods include [specify methods used, e.g., surveys, interviews, or observations]. Results and Discussion: The findings demonstrate the critical role of integrating information systems with everyday monitoring practices, allowing for the extraction and application of accurate and relevant data to enhance urban service management. The discussion highlights the implications of these findings within the theoretical framework, examining the relationships and discrepancies identified and considering the study's limitations. Research Implications: The study provides both theoretical and practical implications, offering insights into how the findings can be applied to improve practices in urban management. The implications are particularly relevant for enhancing the responsiveness and adaptability of urban monitoring strategies. Originality/Value: This study contributes to the literature by offering a novel perspective on the integration of information systems in urban monitoring, highlighting the importance of data-driven decision-making. The research's relevance is underscored by its potential to influence urban management practices and improve service quality.

Assessing the impacts of peer-to-peer recommender system on online shopping: PLS-SEM approach

Peer-to-peer recommender systems play a critical role in online shopping in Vietnam. This paper aims to identify the relationship between Recommendation Quality and Purchase Intention and the moderating effects of Attitude and Trust on this relationship. Partial Least Squares Structural Equation Modeling was used as a research method. The sample consisted of 365 respondents who frequently use recommender system when shopping online. Data were collected using non-probability sampling method. The questionnaire is delivered to online customers who frequently rely on peer-to-peer recommender systems to make a purchase decision. The results show that Recommendation Transparency, Recommendation Accuracy, Recommendation Novelty, and Recommendation Diversity are positively related to Recommendation Quality. Consequently, Recommendation Quality has a positive impact on Attitude, Trust, and Purchase Intention. Besides, Attitude has a positive impact on online Purchase Intention. Trust also has a positive impact on online Purchase Intention. Practical implications are proposed to improve the impacts of peer-to-peer recommender systems on online shopping.

“There are support resources, but they are kind of hidden”: social network analysis of college students' support systems in relation to type 1 diabetes management

Type 1 diabetes is an invisible disability requiring major life changes and constant monitoring. It can become particularly challenging to control during a major life transition. This study examines the composition and nature of the social networks of college students living with type 1 diabetes. A total of 17 respondents with type 1 diabetes and 18–25 years of age participated in network interviews. Network Canvas facilitated online data collection. The results show that efforts to protect the wellbeing of college students with T1D require active participation of university organizations and certain individuals from students' formal and informal connections. Such connections define students' support networks in college and provide access to social capital. Practical implications and recommendations for university leadership and students' parents are discussed.

Excess mortality and suicide risk in treatment-seeking individuals with schizotypal disorder: A population-based study using Swedish national registers

This study investigates the excess mortality, both all-cause and due to suicide, among individuals with schizotypal disorder (SD) compared to the general population. Using individual-level data from the Swedish National Patient Register and the Cause of Death Register, we analyzed mortality in 998 patients diagnosed with SD from 2006 to 2017. Our primary outcomes were all-cause mortality and suicide mortality, with baseline variables including sex, age, and psychiatric comorbidities. Results indicated significantly elevated mortality rates for both all-cause mortality (Standardized Mortality Ratio (SMR) 5.2) and suicide (SMR 23.4). Substance use disorders, personality disorders, and ADHD were identified as significant predictors of increased all-cause mortality. Notably, having a personality disorder in conjunction with schizotypal disorder resulted in a markedly increased risk of suicide. The study underscores the urgent need for targeted interventions and improved diagnostic precision to reduce premature mortality in this vulnerable population. Additionally, the relatively low prevalence of SD diagnoses in Sweden highlights a potential underdiagnosis or misclassification issue. These findings have critical implications for clinical practice and public health efforts, emphasizing the necessity for comprehensive care strategies and suicide prevention interventions to improve outcomes for individuals with schizotypal disorder.

Language matters: what can social workers learn from the transgender community?

ABSTRACT Questions of language and its contribution to constructing and preserving the social order have gradually entered social work research. This paper seeks to add to this professional scholarship by examining the concrete impact of language usage on real persons in everyday interactions. It is based on an interview study with eleven members of the transgender community in Israel and anchored in the feminist social work perspective. Transgender individuals challenge seemingly natural social conventions and do not necessarily conform to expected coherency between biology and gender. Since most Hebrew grammatical forms make clear distinctions based on gender, these individuals often lack adequate means for conducting a dialogue consistent with their sense of self. The interviewees’ descriptions highlight the pivotal role Hebrew plays in realizing their identity, thus providing a better opportunity for enhancing our understanding of the strategic power of language than the discourse of members of predominant social groups. These findings have potential implications for social work teaching and practice, especially in relation to undoing injustice.

Navigating the Complexities of Inter-Religious Peacebuilding: Implications for Theory and Practice

As conflict dynamics become complex and escalate globally, especially identity-based conflicts, we are witnessing an unprecedented shift in the Conflict Analysis and Resolution and Peacebuilding field toward contextually innovative and effective community-led approaches. The inadequacies of liberal and neoliberal paradigms and the increase in identity-based conflicts, religious pluralism, and differences in communities have motivated evidence-based inter-religious community-level engagements over the past two decades. These interventions rely on the theoretical frameworks of emancipatory peacebuilding and compassionate reasoning, and reflect an in-depth sense of spirituality, longing, and the essence of human relationship building and practice. This study gathers data from primary sources (which include findings from hybrid interviews) through a semi-participatory and empirical qualitative explorative research process in order to critique the underlying philosophies of traditional paradigms and explore emerging alternatives. It also posits that inter-religious community-led interventions are founded on the emancipatory elicitive religious peacebuilding (EERPb) framework. They are adaptive to non-linear (and sometimes non-scientific) approaches and are less focused on international standards. The framework fundamentally embraces phenomenological, metaphysical, and ethical realities in peacebuilding, operationalizes the concept of just peace, and acknowledges a global approach to peace that offers the opportunity to resolve the difficulties encountered by the various CAR and peacebuilding theoretical schools.

How the arts heal: a review of the neural mechanisms behind the therapeutic effects of creative arts on mental and physical health

BackgroundThe creative arts have long been known for their therapeutic potential. These modalities, which include dance, painting, and music, among others, appear to be effective in enhancing emotional expression and alleviating adverse physiological and psychological effects. Engagement in creative arts can be pursued as a personal hobby, in a classroom setting, or through a formal therapeutic intervention with a qualified therapist. Engagement can be active (i.e., creating) or passive (i.e., viewing, listening). Regardless of the modality and manner of engagement, the mechanisms explaining the therapeutic efficacy of creative arts remain poorly understood.ObjectiveThis study aims to systematically review research investigating the neurological mechanisms activated during active or passive engagement in creative arts, with a specific emphasis on the roles of the medial prefrontal cortex (mPFC) and the amygdala in emotional regulation (ER) and creative behaviors. The review seeks to provide preliminary evidence for the possible existence of common neural mechanisms underlying both phenomena, which could inform the development of targeted therapeutic interventions leveraging creative arts for ER.MethodsA systematic review was conducted following the Cochrane Collaboration guideline and PRISMA standards to identify studies examining the neurological mechanisms underlying creative activities.ResultsA total of six out of 85 records meet the inclusion criteria, with all being basic research studies. Preliminary findings suggest that active and passive engagement with creative arts consistently activate neural circuits implicated in adaptive emotional regulation, including the mPFC and amygdala. These activations mirror the neural pathways engaged in effective ER strategies, suggesting the possible existence of shared mechanisms between creative expression and emotional processing.ConclusionThe evidence underscores the potential of creative arts as a complementary therapeutic strategy alongside conventional care and other evidence-based mind-body modalities. By elucidating the shared neural mechanisms between creative arts engagement and ER, this review contributes to the theoretical and practical understanding of the role of creative arts in mental health. Future research is recommended to further explore these neural correlations and their implications for therapeutic practice.

A-184 Evidence-based Test Utilization: Test Ordering Patterns in Functional Medicine and Community Clinics, and Implications for Laboratory Stewardship

Abstract Background Functional Medicine Physicians (FMPs) use a holistic approach to identify and address “the root cause of a disease”. These physicians routinely order laboratory tests that are not supported by clinical suspicion and practice guidelines (i.e., Centers for Disease Control and Prevention Laboratory Medicine Best Practices, and local diagnostic algorithms) and are unnecessarily duplicative, with inappropriate testing patterns. Ordering unnecessary tests does not improve diagnosis; indeed, 5% of disease-free patients falsely test positive for a given diagnostic test. Test overutilization increases the rate of false positives, leading to unnecessary medical follow-ups, compromised patient care, and financial constraints on the healthcare system. The objective of this study is to: 1) Compare test ordering patterns between FMPs and General Practitioners (GPs) to identify disparities and opportunities for laboratory stewardship improvements. 2) Analyze the potential factors impacting test utilization in areas served by FMPs, 3) investigate the proper approach to improve test utilization. Methods Using our laboratory’s information system, we conducted a retrospective study spanning from January 2022 to December 2022 to assess testing patterns by 15 FMPs in Southern Alberta, comparing them to those of randomly selected community GPs within the same geographical region. A query was executed to retrieve data on the top 50 chemistry tests ordered by functional medicine clinics and community clinics. These tests were further categorized into six groups: general chemistry, endocrinology, immunology, trace elements, toxic metals, and vitamins. Data analysis included determining the geographical locations of functional medicine clinics and assessing the socioeconomic status of their patient populations. Additionally, the percentage of abnormal test results were calculated for both functional medicine clinic and community clinics. Furthermore, the average cost of tests per patient, per physician, and per clinic was computed to evaluate the financial implications of testing practices. Results Our preliminary results showed significant variability in test ordering practices among FMPs, with potential implications for patient care and healthcare costs. Most tests ordered by FMPs were normal (94%), suggesting a need for further scrutiny regarding the necessity and appropriateness of these tests. A notable trend observed was the disproportionate preference of FMPs for expensive tests, including hormones, vitamins, and toxic metals. Our analysis reveals that the cost per reportable test from FMPs was four times higher compared to the tests ordered by GPs. Furthermore, on average, functional medicine clinics in urban areas ordered around 60% more tests annually compared to their rural counterparts. Conclusions Our preliminary findings clearly show a need to monitor the testing behavior more carefully by the functional medicine clinics. The data from this study will be shared with the physicians practicing functional medicine in Alberta. Strategies to improve the test utilization and patient care include educating the functional medicine doctors and provincial healthcare authorities about the appropriate test utilization and the impact of inappropriate use of lab on patient care. In addition, using algorithms for test ordering will be used if the pattern of inappropriate testing continues.

Distributed Ledger Technology and Financial Reporting Integrity in Nigerian Quoted Banks: A Study on Error Reduction and Enhanced Transparency

This study investigated the effect of distributed ledger technology (DLT) factors on eliminating financial reporting errors (FREs) in quoted Nigerian banks. Using an exploratory survey design, data was collected from 300 employees of 14 quoted banks involved in financial reporting. DLT factors of public, private, hybrid, and blockchain were examined as independent variables affecting the dependent variable of FRE elimination. Descriptive analysis showed that all DLT types were perceived as highly effective for error reduction. Correlation analysis revealed strong positive relationships between DLT factors and FRE mitigation. Regression modeling found that hybrid DLT had the largest impact on error elimination, followed by private, public, and blockchain DLT. Together, the DLT factors explained 98.1% of the variance in FRE reduction. The results statistically established the significant positive effects of DLT factors on eliminating prevalent FREs like principle, omission, entry, disclosure, and reversal errors. Key contributions include providing robust empirical evidence that leveraging DLT, especially hybrid DLT, can eliminate common financial reporting errors in Nigerian banks. The pioneering study expands conceptualizations, theories, and literature regarding DLT's potential to comprehensively transform financial reporting accuracy. It offers important implications for policy, practice, and research on regulating, adopting, and studying DLT solutions to address persistent financial statement errors undermining stakeholder trust in Nigeria's banking sector. The study concludes by strongly recommending for policy and, in practice, the regulation and full adoption of DLT for the elimination of FREs in Nigeria.

Carbon emission characteristics and carbon reduction analysis of employee travel-taking a research institute as an example

This paper adopts the “baseline scenario method” to construct a comprehensive model for calculating and reducing carbon emissions generated by employee travel, including the accounting of carbon emissions from commuting and business travel, as well as the assessment of green travel for carbon reduction. The study employs methods such as questionnaires and on-site interviews to collect travel data from employees of a research institute in Beijing as a case study. The results show that employees’ commuting methods are diverse, with the subway being the primary mode of travel; however, business travel generates higher carbon emissions, particularly among employees with higher education levels. The research concludes that the model proposed in this paper provides a framework for preliminary carbon emission estimation, but to improve the accuracy of the estimates, more variables and factors need to be considered, and the limitations of the model are pointed out. The research findings have significant implications for policy and institutional practices, suggesting the adoption of more targeted measures to reduce the use of high-carbon-emission travel methods and to encourage the use of green travel options. With the continuous advancement of data collection technologies in the future, it will be possible to further establish a more refined carbon emission accounting model and obtain more accurate and comprehensive travel data, thereby providing solid data support for the development of more effective carbon reduction strategies and policies.

Intellectual property rights protection and sustainable innovation performance: The mediating role of technology spillover

AbstractDespite extensive research into the factors driving sustainable innovation, there remains a significant gap in understanding the impact of intellectual property rights (IPR) protection. This study delves into how IPR protection influences sustainable innovation performance and explores the mechanism of technology spillover and the condition of absorptive capacity. Analyzing data from 266 firms in Vietnam, our findings indicate a positive correlation between IPR protection and technology spillover. Additionally, we find that technology spillover mediates the relationship between IPR protection and sustainable innovation performance. Interestingly, we show that absorptive capacity bolsters the relationship between technology spillover and sustainable innovation performance. These insights offer valuable additions to the existing literature on IPR protection and sustainable innovation literature. Implications for both theory and practice are discussed in detail.

Ready-ing HRD for complexity

ABSTRACT This article imagines the future of HRD using a complexity lens. Complexity calls for rethinking the industrial-era framing of work, learning, and change. We discuss foundational concepts and terminology that inform our work and consider links with HRD. We adopt the idea of ‘ready-ing’, introduced by Nora Bateson, who challenges strongly held theories of top-down, step-by-step change that do not work well in complex adaptive systems. She instead suggests we should ready people and organisations for change they might not imagine and cannot predict. We then draw from earlier thinking on sculpting the learning organisation that seems relevant to complexity. To illustrate what ready-ing might look like in practice, we elaborate four examples, or sightings, of how organisations ready for change. We discuss the resulting implications for HRD practice in leadership development and organisational change. We also examine ways that university preparation has pivoted towards a future of ready-ing HRD scholars and researchers for ‘what if’ thinking and complex adaptive change. We conclude with reflections on developing new mindsets and skill sets for HRD’s ready-ing for complexity.

Developing an initial explanatory theory for Partnering for Change using realist evaluation.

Partnering for Change (P4C) is an innovative practice model for school-based occupational therapy developed in Canada and informed by a program of research spanning nearly two decades. National and international interest in P4C necessitated development of an explanatory theory to guide implementation in varied contexts. The purpose of this study is to document the process of theory development and to provide an overview of the initial P4C explanatory theory. Realist evaluation was used to construct an initial explanatory theory of P4C drawing on P4C developers' conceptualisations of the model, document analysis, and analysis of transcripts from interviews and focus groups. No consumers were involved in the study design or analysis. Four sets of premises expressed as context-mechanism-outcome configurations (CMOCs) comprise the initial explanatory theory of P4C. An abstracted summary of these four sets along with contexts, mechanisms, and outcomes central to the P4C initial explanatory theory is presented. An exemplar CMOC is shared to illustrate how theoretical premises are developed and expressed using realist evaluation. This study advances knowledge regarding the hypothesised core elements of P4C and provides an example of using realist evaluation to advance knowledge in occupational therapy. Preliminary implications for clinical practice are discussed. Partnering for Change (P4C) is a way of providing occupational therapy services in schools that helps all children to learn and participate successfully. P4C was created in Ontario, Canada, and has been researched for almost 20 years. People in different parts of Canada and other countries are interested in trying P4C. As the researchers who created P4C, we think there is a need to explain how it works so it can be used in different places. This study explains how we created a theory to describe P4C. To develop this theory, we used a method called realist evaluation that would help us explain how, why, and in what situations P4C works best. To do this, we analysed documents and transcripts of interviews and focus groups. Our findings are organised into four main ideas, each explained in terms of contexts (the situations), mechanisms (how and why P4C works), and outcomes (the impacts of P4C). One detailed example is given to show how these ideas were formed and work together. In conclusion, our study helps us understand the key parts of P4C and shows how realist evaluation can be used to improve knowledge in occupational therapy. The study also suggests some early ideas on how P4C can be used in practice.

SPORTS CLUB LOYALTY: GENERAL AND AGE-RELATED ANALYSIS. AN EXAMPLE FROM RECREATIONAL RIDERS IN RIDING SCHOOL

Objective: The objective of this study is to investigate the impact of age on sporting club loyalty, focusing on horse riding in France. Theoretical Framework: Using a consumer behavior marketing approach, this study provides an understanding of the relationships and influence between the constructs of loyalty, satisfaction, switching barriers, affective commitment to the group of friends and community commitment. Method: A multigroup SEM was used to provide a global understanding. The Data collection was carried out through on online survey amongst 615 respondents in France. Results and Discussion: Whatever the age is, the results confirm the classical influence of satisfaction on loyalty and highlight the significant influence of riding teachers on customer loyalty to riding schools. The relationships between the other constructs differ by age with different factors influencing satisfaction and loyalty. Younger riders’ loyalty relies more on teacher linkage, while older riders consider a more global environment, including switching barriers and commitments. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of sport management. These implications could encompass equestrian activities and sports businesses. Originality/Value: This study contributes to the literature by showing the differences or correlations between segments of recreational riders according to their loyalty to their riding club. Thus, adapting marketing and management strategies according to the age of recreational riders is essential to improve loyalty according to its main drivers.

Detection of Volcanic Ash Using Goes-16 Satellite Imagery: Case Study of Popocatépetl Volcano, Mexico

Objective: The objective of this study is to investigate the accuracy of volcanic ash detection using satellite imagery, to improve existing monitoring tools to adapt them to the Popocatépetl volcano in Mexico. Theoretical Framework: Volcanic ash detection via remote sensing employs Pavolonis' algorithms that compare radiances in the thermal and mid-infrared spectrum. This approach differentiates ash from clouds and water vapor by leveraging its differential absorption. Satellites such as GOES-16, which capture multispectral data, optimize the continuous detection and monitoring of ash dispersion, even in areas of low concentration. Method: Three volcanic ash detection algorithms were compared using images from the Popocatépetl eruption event on May 21, 2023: two developed by Pavolonis, which combine thermal and mid-infrared bands, and a third, a spectral adaptation designed to enhance precision at the edges of the ash cloud, tailored to the study area. Results were validated with an RGB ash image provided by NOAA. Results and Discussion: Pavolonis' algorithms provided a solid foundation for general detection, but the third algorithm, specifically designed for this study, significantly improved edge detection where classification conditions are more complex. This improvement was reflected in a higher agreement with the RGB ash image used as a reference. However, limitations related to atmospheric interference were identified, which require further adjustments in low ash concentration scenarios. Research Implications: The findings of this research have significant practical and theoretical implications for volcanic risk management and environmental protection. Enhanced accuracy in volcanic ash detection can optimize monitoring and early warning strategies, reducing risks to public health and infrastructure. Originality/Value: This study contributes to the literature by introducing a specific spectral adaptation to improve edge detection of volcanic ash, a novel approach not previously addressed. The research's relevance lies in its ability to refine monitoring methodology, providing more effective tools for volcanic risk management and offering a model applicable to other areas facing similar remote sensing challenges.

Do social cognitive factors influence final-year undergraduate students’ intentions to pursue advanced degrees? An examination of the moderating effect of sex

This study explores the factors influencing final-year undergraduate students’ intentions to pursue advanced degrees through the lens of social cognitive theory (SCT). In addition, it investigates the moderating effect of sex on the causal pathways in the proposed model. Using a quantitative cross-sectional survey design, 578 final-year undergraduate students from various degree programs participated in an online survey. The results revealed that outcome expectations and social support are significant predictors of intention, while intention itself predicts the implementation of intentions to pursue an advanced degree. However, self-efficacy was not found to influence intention, and sex did not moderate the hypothesized paths in the model. These findings suggest that SCT provides a useful and robust framework for understanding the factors shaping undergraduate students’ intentions to pursue advanced degrees, as evidenced by the high explanatory power of the structural model. The study also offers practical and theoretical implications, along with suggestions for future research.