Methodological Approach Research Articles

Attempting a participatory action research (PAR) dissertation with refugee women during the COVID-19 pandemic or: How I learned to embrace messiness and failure

Conducting participatory action research (PAR) is an aspirational, dynamic, but notoriously unpredictable endeavour. In this article, I discuss challenges and lessons from my ongoing dissertation study, planned as a PAR approach to learning with refugee women in Germany about their conceptualisation of mental health in the post-resettlement context and their service and intervention needs and resources.It proved challenging to transfer central ideas around co-creation (e.g., through workshops and activities) – developed in the Anglo-Saxon/North American context – to an online context with German as a foreign language (for both the participants and me) amidst the COVID-19 pandemic. I, therefore, adapted the methodological approach to incorporate collaboration tools such as Padlet (for online meetings) and Ketso (for in-person meetings) and provide short briefings about scientific evidence and concepts focused specifically on issues raised during the discussions (e.g., racism, structural discrimination in German educational and health systems). Furthermore, to ensure the representation of multiple experiences, I incorporated a document analysis component for advocacy and information documents developed by migrant-led organisations in Germany. Situational analysis is proposed as a collaborative interpretation tool that can reduce the risk of epistemic and epistemological violence.Along the research process and amid the groundswell of challenges, a focus on ethics (of care, epistemological, and relational) provided a strong anchor for securing a way forward. These experiences and lessons learned can provide valuable insight into operationalising co-creation, relational ethics, and justice in health research with marginalised populations, especially through an interdisciplinary lens (public health and social science).

Der Gesundheitsbegriff bei A.T. Still: Eine qualitative Studie

„To find health should be the object of the doctor. Anyone can find disease.” Still challenged his followers in 1899 in Philosophy of Osteopathy [1] to find health as he understood it. The aim of the study was to examine the historical background and meaning of Andrew Taylor Still's concept of health. Since language and definitions of terms are a well-known problem in osteopathy, the methodological approach of this study could also be applied to other terms in order to establish a common language in osteopathy in the sense of science.

Global, regional, and national burden of thalassemia, 1990–2021: a systematic analysis for the global burden of disease study 2021

Anemia is a significant contributor to the global disease burden, of which thalassemia is the most common hereditary anaemic disease. Previous estimates were based on data that were geographically limited and lacked comprehensive global analysis. This study provides the prevalence, incidence, mortality and disability-adjusted life years (DALYs) of thalassemia in 204 countries and regions of thalassemia between 1990 and 2021, focusing on the age structure and time trends of the disease burden. To provide effective information for health policy, allocation of medical resources and optimization of patient management programs. Using the standardised Global Burden of Disease (GBD) methodologies, we aimed to derive a more precise representation of the health burden posed by thalassemia by considering four distinct types of epidemiological data, namely the incidence at birth, prevalence, mortality and DALYs. The presented data were meticulously estimated and displayed both as numerical counts and as age-standardised rates per 100,000 persons of the population, accompanied by uncertainty interval (UI) to highlight potential statistical variability. The temporal trends spanning the years 1990-2021 were subjected to a rigorous examination utilizing Joinpoint regression analysis. This methodological approach facilitated the computation of the annual percentage change (APC) and the average annual percentage change (AAPC), along with their corresponding 95% confidence intervals (CIs). Globally, the age-standardized prevalence rates (ASPR), age-standardized incidence rates (ASIR), age-standardized mortality rates (ASMR), and age-standardized DALYs rates for thalassemia in 2021 were 18.28 per 100,000 persons (95% UI 15.29-22.02), 1.93 per 100,000 persons (95% UI 1.51-2.49), 0.15 per 100,000 persons(95% UI 0.11-0.20), and 11.65 per 100,000 persons (95% UI 8.24-14.94), respectively. Compared to 1990, these rates have decreased by 0.18 (95% UI-0.22 to-0.14), 0.25 (95% UI-0.30 to-0.19), 0.48 (95% UI-0.60 to-0.28), and 0.49 (95% UI-0.62 to-0.29) respectively. In 2021, the ASIR of thalassemia was highest in East Asia at 7.35 per 100,000 persons (95% UI 5.37-10.04), and ASMR was highest in Southeast Asia at 0.37 per 100,000 persons (95% UI 0.29-0.45).Gender comparisons showed negligible differences in disease burden, with the highest prevalence noted in children under five, decreasing with age. The global ASPR and ASMR declined from 1990 to 2021 overall, though an increasing trend in prevalence was found among the elderly. Joinpoint analysis revealed that the global ASPR increased between 2018 and 2021 (APC=9.2%, 95% CI: 4.8%-13.8%, P<0.001), ASIR decreased (APC=-7.68%, 95% CI:-10.88% to-4.36%, P<0.001), and there was a significant rise in ASMR from 2019 to 2021 (APC=4.8%, 95% CI: 0.1%-9.6%, P<0.05). Trends in ASPR and ASMR varied across regions, with notable changes in South Asia. The global burden of thalassemia, reflected in its prevalence, incidence, mortality, and DALYs, exhibits significant disparities. Geographic and demographic shifts in disease distribution have been observed from 1990 to 2021, with an overall decrease in burden, yet an increase in cases among the elderly population. Analysis of epidemiological trends over time highlights the influence of health policies and significant public health interventions on thalassemia outcomes. There data are crucial for healthcare professionals, policymakers, and researchers to refine and enhance management strategies, aiming to further mitigate thalassemia's global impact. National Natural Science Foundation of China; Guizhou Province Science and Technology Project; Guizhou Province Science and Technology Foundation of Health Commission.

AI innovations and financial performance: An examination of patent filings and revenue generation

Artificial intelligence (AI) is increasingly becoming indispensable for businesses, offering numerous advantages to compete in today's dynamic market landscape. This study investigates the relationship between AI patent filings and firms' performance in revenue generation from a point of view, aiming to elucidate the impact of AI investments on revenue generation. Leveraging data from The United States Patent and Trademark Office (USPTO) and employing regression analysis, the research finds a significant correlation between firms with AI patent applications and their generated revenue. The findings underscore the importance of AI investments for financial outcomes and provide valuable empirical evidence for strategic decision-making by businesses and policymakers. Additionally, the methodological approach adopted in the study contributes to the methodological approach available for future research in the field of AI and business performance analysis.

Exploring lean office in project management by means of a systematic literature review

PurposeThis study aims to find the main contributions from lean office (LO) that can be applied to the project management field, correlating these two areas toward an improvement in project management performance.Design/methodology/approachThis paper uses a systematic literature review as a methodological approach to find the main potential contributions from LO that can be applied to project management.FindingsThis study has selected the 13 most cited potential contributions from LO and its level of occurrence in a systematic literature review (SLR).Research limitations/implicationsThis study explores theoretical aspects of LO benefits on project management, and further empirical studies are needed to determine the risks and benefits of the concept listed here.Practical implicationsThe practical implications are that the most cited potential contribution from LO to the project management and those can be used as a guidance for project managers.Originality/valueThis article highlights the potential contributions from LO to project management field, which is novelty in the face of the existent literature.

Life Cycle Assessment Framework for Diagnostic Imaging

The increasing focus on environmental sustainability is becoming essential in the diagnostic imaging sector, which is accredited for about 10% of the healthcare industry’s carbon footprint. A multitude of research initiatives investigated the environmental impacts of diagnostic imaging, encompassing factors like electricity consumption, carbon emissions, and waste generation from these procedures. Life Cycle Assessment (LCA) stands as a prominent method for structural assessment of environmental impacts, offering a detailed framework for examining the environmental consequences of specific processes. The aim of this study includes analyzing existing LCA approaches in literature to identify their limitations and to suggest an elaborate framework for LCA application in diagnostic imaging.Out of 17 original articles on environmental sustainability in radiology published since 2014, but only a part, 29.4% (5/17), described an LCA approach. The different characteristics of these studies provide valuable insights, enabling the proposal of a more comprehensive LCA research methodology.The reviewed articles did not present a uniform research outcome. According to the GreenHouse Gas (GHG) Protocol Corporate Standard, the optimal outcome for assessing environmental impact is the calculation of greenhouse gas emissions. For a thorough methodological approach in LCA, it is essential to cover all direct and indirect emissions associated with diagnostic imaging. All studies (100%, 5/5) considered the electricity consumption of imaging equipment. Usage of consumables was included in 80% (4/5) of the studies. Only 40% (2/5) of articles considered auxiliary equipment like computers and contrast-medium injectors, as well as heating, ventilation and air conditioning (HVAC) systems. Factors like equipment manufacture, staff travel, and waste generation, though crucial to overall greenhouse gas emissions, were each covered in only 20% (1/5) of the studies. The articles also varied in their LCA versions, with two employing the detailed Cradle-to-Grave approach, while others used partial Cradle-to-Gate and Input-Output LCA methods.The insights from this analysis could lead to a valuable framework for a new LCA methodological approach in diagnostic imaging. This novel approach is designed to overcome the limitations observed in existing research, offering a more comprehensive analysis. By enhancing the LCA framework, it will be possible identify the phases in diagnostic imaging that have the most substantial environmental impact, allowing for the development of more targeted strategies to reduce GHG emissions associated with diagnostic procedures.

Digital information materials on dementia-an exploratory content analysis

Adiagnosis of dementia places aheavy burden on those affected and their families. Often, difficult decisions must be made. Ideally, people with anew dementia diagnosis make informed decisions together with family members. Digital informational materials can be an important low-threshold resource for making informed decisions. They should provide comprehensive information about dementia, including both primary prevention (risk factors for the onset of dementia) and later treatment options. They should also cover precautionary measures that can make future decisions easier (e.g., advance directives, power of attorney). However, there is currently no comprehensive overview of the various online resources for dementia-related information. This study explores digital informational materials on dementia for different target groups in the German-speaking area using an innovative systematic search strategy. It examines how these materials are structured in terms of risk factors, treatment options, and decision support. This methodological approach is new, so it is described and discussed in detail. The results show that most materials are intended for people with dementia and their families. Treatment measures are often discussed without explaining the risk factors they are meant to address. There is little focus on preventive measures that could support decision-making. The unbalanced presentation could lead to certain measures being difficult to understand (for laypeople) or to misinterpretation of risk factors. Important implications are drawn from these findings.

Assessing the Effectiveness and Efficiency of the Population and Economy’s Adaptation to Climate Change: Methodological Approaches and Limitations

Assessing the Effectiveness and Efficiency of the Population and Economy’s Adaptation to Climate Change: Methodological Approaches and Limitations

A pilot rating system to evaluate the quality of goal attainment scales used as outcome measures in rehabilitation

ABSTRACT Goal Attainment Scaling (GAS) is a method for writing person-centred approach evaluation scales that can be used as an outcome measure in clinical or research settings in rehabilitation. To be used in a research setting, it requires a high methodological quality approach. The aim of this study was to explore the feasibility and reliability of the GAS quality rating system, to ensure that GAS scales used as outcome measures are valid and reliable. Secondary objectives were: (1) to compare goal attainment scores’ reliability according to how many GAS levels are described in the scale; and (2) to explore if GAS scorings are influenced by who scores goal attainment. The GAS scales analysed here were set collaboratively by 57 cognitively impaired adults clients and their occupational therapist. Goals had to be achieved within an inpatient one-month stay, during which clients participated in an intervention aimed at improving planning skills in daily life. The GAS quality rating system proved to be feasible and reliable. Regarding GAS scores, interrater reliability was higher when only three of the five GAS levels were described, i.e., “three milestone GAS” (0.74–0.92), than when all five levels were described (0.5–0.88), especially when scored by the clients (0.5 –0.88).

Application of Response Surface Methodology and Machine Learning Approaches to Predict Porosity and Compression Strength of Selective Laser-Sintered Polyamide-12 Scaffold Parts

Application of Response Surface Methodology and Machine Learning Approaches to Predict Porosity and Compression Strength of Selective Laser-Sintered Polyamide-12 Scaffold Parts

Unraveling Workplace Bliss: The Mediating Influence of Flow Experience in the Relationship between Psychological Needs Satisfaction and Happiness at Work

The purpose of this paper is to report on the results of a study that sought to establish the mediating role of flow experience in the relationship between psychological needs satisfaction and happiness at the workplace, specifically within the context of public hospitals in Uganda. A cross-sectional study was conducted, involving a sample of 800 professional nurses. Findings reveal that flow experience partially mediates in the connection between psychological needs satisfaction and workplace happiness. Limitations include; the use of a mono-research methodological approach, suggesting opportunities for future research through interviews to triangulate findings. By way of practical implications, the study explicates the psychological needs of the healthcare professionals examined and contributes to a more positive work environment and consequently, higher levels of workplace happiness. Keywords: psychological needs satisfaction, happiness at work, professional nurses, health services, flow experience, and positive emotions

Dreamscapes of Belonging

Jungian Art-Based Research (JABR) is a distinctive methodological framework that explores the intersection of analytical psychology and the arts. It primarily utilizes Jung's theories of the psyche, integrating these with artistic processes to investigate and express unconscious dynamics. Susan Rowland, a pivotal figure in this field, has significantly advanced the understanding of how Jungian theories can be applied within art-based research (Rowland, 2023). Her contributions elucidate how artistic expressions act as mediums through which the unconscious can be explored and articulated, thereby offering profound insights into both individual and collective unconscious processes. The objectives of Jungian Art-Based Research are manifold. Firstly, JABR aims to provide a methodological approach that allows researchers and practitioners to delve deeper into the symbolic and transformative potential of art. This is achieved through the engagement of the unconscious in the creation and interpretation of art, thereby fostering a holistic understanding of the psyche. Secondly, JABR seeks to expand the scope of psychological inquiry by incorporating artistic expressions as legitimate sources of psychological data. Lastly, it aspires to foster a dialogue between psychology and art, encouraging interdisciplinary collaboration that can enrich both fields. By integrating analytical psychology with artistic creativity, JABR contributes to a more nuanced understanding of the human experience, offering valuable perspectives that challenge conventional research paradigms. This paper presents a personal journey through the application of Jungian Art-Based Research (JABR), initiated by attending a course by Susan Rowlands. It delves into the transformative experience of exploring the multiverse of dreams and their impact on the author's professional and personal development. The exploration began with the author’s repetitive dreams, characterized by detailed urban landscapes, serving as the primary material for research. By physically mapping these dreamscapes and integrating various symbolic materials, the author engaged in a deep, introspective process, highlighting the non-linear and spiraling nature of JABR. This journey further intertwined with reflections on identity, homelessness, and the longing for a sense of belonging, amplified by historical and cultural dislocations. Through spontaneous dance and subsequent reflections, the author confronts the disillusionment with idealized spaces and faces the reality of changing perspectives and attachments. The paper concludes by pondering the broader implications of our attachment to the Earth, suggesting that our efforts to save it might be hindered by our need to name and possess, rather than embrace its intrinsic, unnamed existence. Through a Jungian lens, the author proposes a reevaluation of our relationship with the planet, advocating for a detachment from specific names to foster a more universal and sustainable connection.

Spatial analysis and machine learning: Towards integrated predictive modeling advancements

This paper presents a comprehensive exploration of the integration of spatial analysis with machine learning techniques, aiming to enhance predictive modeling capabilities across various domains. Spatial analysis, a methodological approach for understanding geographic patterns and relationships, when combined with the computational power of machine learning, offers unprecedented opportunities for analyzing complex spatial datasets. Through quantitative analysis and the application of mathematical models, this study demonstrates the effectiveness of this integration in improving the accuracy and efficiency of predictive models. The research encompasses a range of applications, from environmental monitoring to urban planning and public health, showcasing the versatility and potential of combining spatial analysis with machine learning.

ESTIMATION OF GREEN BUILDING OVER CONVENTIONAL BUILDING

This report investigates the comparative costs and benefits of green building versus conventional building practices. By integrating five advanced techniques: Biophilic Design, Passive House Design Strategies, Digital Twin Technology, Net Zero Energy Techniques, and Water Harvesting System into the construction of a conventional building, we transformed it into a green building at an additional cost of approximately ₹6,72,420. The total cost for constructing the green building amounted to ₹24,23,876.78, inclusive of the base cost of a conventional building. The study outlines a comprehensive methodological approach, which includes creating theoretical models, conducting cost analyses using current market rates in India, and evaluating environmental impacts through carbon emissions calculations. The findings reveal that although the initial costs for green buildings are higher, they offer substantial long-term benefits, including reduced operational expenses, improved occupant health, and minimized environmental footprints. Green buildings are designed to maximize resource efficiency, enhance indoor air quality, and utilize renewable energy sources, resulting in significant energy savings and reduced carbon emissions. This investment in sustainable construction practices not only promotes environmental stewardship but also ensures economic viability through long-term savings and improved occupant well-being. The transition to green buildings is a crucial step towards addressing climate change and fostering sustainable development for future generations. This report underscores the importance of adopting green building techniques and demonstrates that the benefits far outweigh the initial financial outlay, making green buildings a worthwhile investment for a sustainable future.

Neurotourism Insights: Eye Tracking and Galvanic Analysis of Tourism Destination Brand Logos and AI Visuals

This pioneering study explores the intersection between Neurotourism, defined as the integration of neurosciences in tourism, and the perception of tourism Brand Personality (BP) through the advanced use of psychophysiology techniques, specifically Eye-Tracking (ET) and Galvanic Skin Response (GSR). It analyses how tourism destination brand logos/combination marks and images generated by artificial intelligence (AI) influence consumer attention and emotional response. Focusing on the five dimensions of BP proposed by Aaker (1997) - sincerity, excitement, sophistication, competence, and ruggedness - this study highlights significant differences in how men and women process and react to brand values associated with specific cities. Employing a rigorous methodological approach and the application of non-parametric statistical analyses, the findings reveal distinct patterns of visual attention and emotional responses across genders, emphasising the importance of considering BP in the marketing and design of tourism destination brand logos/combination marks. This work not only advances theoretical understanding of tourist consumer behaviour but also offers relevant practical implications for tourism marketing and destination management.

Mood Systems in the Movie Speech by Steve Biko in the “Cry Freedom”

This paper presents a comprehensive analysis of the mood types and their speech functions in the dialogue of Steve Biko in the movie "Cry Freedom." Utilising descriptive analysis as the primary methodological approach, the study systematically examines Biko's speech to uncover the distribution and implications of different mood types. The research methodology involved obtaining the transcribed speech, collecting clauses, identifying mood types, and drawing conclusions based on the findings. Results indicate the presence of 12 interrogative clauses and 23 declarative clauses, highlighting the prevalence of interrogation and assertion in Biko's discourse. Notably, imperative clauses were absent, reflecting the unique context of the speech within a courtroom setting. The analysis of interrogative clauses reveals a probing and challenging exchange, while declarative clauses convey assertions and affirmations. Overall, the study sheds light on the rhetorical strategies employed by Biko and underscores the significance of mood analysis in understanding persuasive communication within the movie's narrative.

Connecting the dots: a systematic review of explanatory factors linking contextual indicators, institutional culture and degree awarding gaps

PurposeThe primary aim of this paper is to illuminate the critical issue of the degree awarding gap in the UK, which significantly impacts students from lower socio-economic backgrounds and minority groups. By conducting a systematic review of existing literature following the PRISMA protocol, this study seeks to uncover the complex web of explanatory factors that mediate the relationship between contextual indicators, institutional culture, and degree awarding disparities. Addressing this gap is vital for promoting social justice, enhancing the economy, safeguarding the reputation of UK universities, and adhering to legal responsibilities. This paper endeavours to provide a comprehensive understanding of the underlying causes of degree awarding gaps and offer evidence-based recommendations for the higher education sector to mitigate these disparities.Design/methodology/approachThis study employs a systematic review design, adhering to the PRISMA protocol, to meticulously analyse the existing body of literature concerning the degree awarding gap in UK higher education. By systematically gathering, evaluating, and synthesizing relevant studies, the review aims to identify and understand the multifaceted factors mediating the link between contextual indicators, institutional culture, and the disparities observed in degree awarding. This methodological approach ensures a rigorous and transparent examination of the literature, enabling the identification of both the breadth and depth of research on the topic. Through this design, the paper aspires to uncover nuanced insights into the mechanisms driving degree awarding gaps.FindingsThe review’s findings reveal that degree awarding gaps in UK universities are influenced by a constellation of factors, highlighting the complexity of this issue. Key among these are unconscious bias, limited student engagement opportunities with academic staff, institutional racism, inadequate support systems, and a scarcity of social and cultural capital. These factors collectively contribute to significant disparities in degree outcomes, disproportionately disadvantaging students from lower socio-economic backgrounds and minority groups. The evidence suggests that institutional practices and culture play a pivotal role in either exacerbating or alleviating these disparities, indicating the need for targeted interventions to address the root causes of degree awarding gaps.Research limitations/implicationsOne strength of conducting a systematic review is its rigorous and meticulous nature, which ensures that the process is carefully planned and executed. This comprehensive approach allows for the elimination of biases, as the review systematically gathers and analyses existing literature on the topic. By adhering to a structured methodology, the systematic review enhances the validity and reliability of the findings, providing a robust and unbiased synthesis of the available evidence. This strength lends credibility to the research and reinforces the confidence in the conclusions drawn from the review.Practical implicationsThe practical implications arising from this information indicate that universities need to address the identified issues directly by implementing supportive strategies and interventions. By doing so, they can create a learning environment that is more inclusive and equitable, allowing all students to unlock their full potential. This may involve measures such as raising awareness about unconscious bias, promoting engagement between academic staff and students, implementing anti-racist policies, establishing comprehensive support systems, and actively fostering social and cultural capital. Such practical actions will contribute to reducing the degree awarding gaps and promoting equal opportunities for all students, ultimately leading to a more equitable and successful educational experience.Social implicationsThe social implications derived from this information are significant. By implementing supportive strategies and interventions to address the identified issues, universities can contribute to creating a more inclusive and equitable learning environment. This has the potential to have a transformative impact on society by providing equal opportunities for all students to unlock their full potential. By raising awareness about unconscious bias and implementing anti-racist policies, universities can foster a more diverse and inclusive community. Promoting engagement between academic staff and students and establishing comprehensive support systems can enhance social cohesion and create a sense of belonging. Ultimately, these efforts can lead to reduced degree awarding gaps and contribute to a more equitable and successful educational experience, positively influencing broader social equality and cohesion.Originality/valueThis paper contributes significantly to the literature by offering a comprehensive, systematic review of the factors contributing to the degree awarding gap in UK higher education, highlighting its originality and value. By focusing on the interplay between contextual indicators, institutional culture, and degree awarding disparities, the study provides novel insights into how these dynamics contribute to educational inequities. Furthermore, the evidence-based recommendations for institutional interventions presented in this paper furnish the higher education sector with actionable strategies to foster a more inclusive and equitable learning environment. This work not only advances academic understanding of degree awarding gaps but also offers practical value to policymakers and educational institutions aiming to enhance social justice in higher education.

Discursive Violence Analysis: Epistemological Advances in Qualitative Research

This article outlines a new methodological approach, Discursive Violence Analysis (DVA). Discursive Violence Analysis is a qualitative methodology that is the conceptual convergence of Foucauldian and Fairclough Discourse Analysis, Critical Discourse Analysis, and Critical Legal Studies that operationalizes systemic oppression. This conceptual framework expands the existing repository of qualitative methodology that recalibrates how researchers identify, qualify, and interpret various disparate discursive social practices as evidence of racism. The DVA frames how scholars interrogate racism and how racism is institutionalized and codified within education and networking social systems. This article aims to provoke an inclusive and empirical engagement on ways to reimagine epistemology within education scholarship—suggesting that ways of knowing racism and understanding racism have experiential origins. Discursive Violence Analysis is an alternative qualitative means of identifying and describing the fundamental sophistications of discourses that steer, normalize, and legitimize racism. This article begins with a researcher reflexivity that foregrounds my journey toward developing DVA—briefly revisiting my experience as a doctoral candidate. Secondly, this article transitions into a “how-to” guide, mapping the conceptual and methodological process. And lastly, this article ends by explaining the critical assumptions of DVA and research queries for emerging scholars.

Links between the actors and mining activities related to the implementation of sustainable development principles

AbstractThe uninterrupted supply of raw materials is essential to implement low‐carbon technologies. Therefore, the sustainable extraction of these materials is crucial. One of its important aspects is the analysis of the interaction between the actors as well as the actions undertaken by them. This study explores the characteristics of the network of links between social actors and the supporting and inhibitory actions related to sustainable development that the mining industry and its possible implications with collaboration and conflict between actors. Our methodological approach consisted in building two bipartite networks based on actor‐action interaction, identified thanks to the literature review of sustainability initiatives of mining companies. Applying network analysis, we examine the structural characteristics of the networks and the strength of links between social actors. The results highlighted that “Government,” “Local society,” and “Indigenous peoples” have a critical position in the network of “Supporting” and “Inhibitory” actions. They are those who could articulate with other social actors to create collaborative processes in the implementation of actions that contribute to sustainable development by the mining industry. However, from the analysis of the structure of the network of “Inhibitory” actions, these three actors are the ones who could be relevant in the dynamics of the development of conflicts with the mining industry. This study presents, from the dual perspective (“Supporting” and “Inhibitory” actions), the characteristics of the systems of relationships between social actors and their possible implications for the design, as well as implementation of sustainable strategies in the mining sector.

Textual Compression Using Lamini-LM

In the age of digital overload, the ability to efficiently summarize large amount of text has become a critical capability. This project focuses on the development of a document summarization system that uses the power of the LaMini-LM model, a member of the Langchain family of large language models (LLMs). By using the natural language processing (NLP) techniques through the Langchain LLM technology it creates a robust and practical solution for automatically generating concise and informative summaries of text documents. The methodological approach of this project combines the strengths of NLP techniques, including the transformer architecture, the T5 model, and specialized components such as the T5 tokenizer and the Pipeline API. This strategic integration of technologies allows to create a comprehensive and efficient document summarization system that can effectively process and summarize a diverse range of text documents. The successful development and implementation of the document summarization system using the LaMini-LM model represents a significant advancement in the field of natural language processing.