Development Of Theory Research Articles

The right to be rural: Farm community development and social services in Zimbabwe’s resettlement areas

ABSTRACT At a time when practitioners and scholars are crystallized around reconnoitering the outcomes of Zimbabwe’s fast track land reform, focus on farm community development and social services in the resettlements is paltry. These communities were envisaged to be enablers and guarantors of rural and national development. Applying a Transformative Social Policy approach and qualitative methodology, the article draws on nuanced insights from the resettlement areas with the principal aim of advancing pathways for improving farm community development. The study shows that fast track communities are characterized by multiple and enduring lacunae in social services particularly schools, clinics, potable water, shopping centers, accessible roads, and reliable transport. However, the farmers are responding in agentive and innovative ways to reduce the challenges. This study enriches community development theory, and informs policy-makers on pertinent aspects that should inform policy and practice in relation to social services and development in resettlement areas.

From MIsgivings to MIse-en-scène: The role of invariance in personality science

There are increasing vocal concerns about the application of measurement invariance testing arguing that it is overly strict and arbitrary. We argue that invariance is not just a procedural hurdle but a substantive tool that enhances the understanding of psychological constructs across diverse populations and has important implications for both theory testing and theory development. First, we outline the importance of how invariance, in a broad sense, plays a role at all the major steps within a research cycle, involving both theoretical and methodological concerns. Second, we suggest a list of points linked to these invariance concerns that can benefit research reports to improve reliability, validity, and fairness. We see invariance as a crucial part of scientific inquiry and an informative tool for empirical research. We agree with Funder and Gardiner’s point that “Data are data,” but would like to add that invariance inquiries and their implications help making sense of the data and the underlying world.

Principle, structure and application progress of the forest landscape model FireBGCv2.

Forest landscape model can quantitatively simulate the spatiotemporal variations in forest structure and function at the landscape scale based on traditional field survey data and mathematical models, providing a reference for the formulation of scientific forest management strategies. FireBGCv2 is one of the representative models currently used in the research area of forest landscape changes. It can simulate ecological processes at various scales, including trees scale (tree growth, establishment, and mortality), stand scale (carbon and nitrogen pools, fuel treatment, decomposition), site scale (resource competition and species phenology), and landscape scale (seed dispersal and wildfire disturbances), and the effects of those processes on forest landscape structure and function. The advantage of this model lies in its ability to simulate multiple ecological processes while considering the diversity and complexity of ecosystems. However, it also has drawbacks, such as high computational demands and complexity of use. We summarized the basic principles and structure of FireBGCv2 and introduced its application progress in forest landscape research and management. Currently, the application of the FireBGCv2 model, both domestically and internationally, mainly focused on exploring the interactions between fire, climate, and vegetation, quantifying the spatial and temporal dynamics of fires, and describing potential fire dynamics under future climate scenarios and land management strategies. With the in-depth development of forest landscape model theories and applications, the future prospects of FireBGCv2 include improving and updating the model's algorithms, adding new functional modules to explore fire management issues, and meeting the needs of different users.

PERAN PSIKOLOGI PERKEMBANGAN DALAM DUNIA PENDIDIKAN ANAK USIA DINI DAN KAITANNYA DENGAN PENDIDIKAN KRISTEN

The role of developmental psychology is very important in early childhood education, because understanding the stages of child development helps educators in designing appropriate and effective curricula. This research examines this role by showing how the principles of developmental psychology can be applied in the context of early childhood education. Apart from that, this research examines the relationship between developmental psychology and Christian education, which emphasizes spiritual and moral values in the care and education of children. This research also examines the problems that occur in early childhood and looks at what factors cause these problems to occur and provide general treatment. By combining developmental theory and Christian education, this research aims to provide insight into the role of developmental psychology in early childhood education which supports children's cognitive and emotional development and shapes their character and morals in relation to Christian education. This research method uses a descriptive qualitative method, with data collection in the form of interview and observation techniques through several questions given, as well as observations made. It is hoped that the results of this research can become a practical guide for educators and parents in implementing educational strategies that are in accordance with child development values and Christian teachings.

Sublating Kant through Marx: Li Zehou’s Transformation of the Empirical to the Transcendental

In this article, I aim to explore and demonstrate a specific mode of transcultural philosophical comparison by introducing an innovative theoretical model that I tentatively call the “method of sublation.” Through an illuminating case study centered around Li Zehou 李澤厚, a prominent figure credited with pioneering this method, its profound potential for generating creative innovation comes to light. Li Zehou skillfully combined Kant’s transcendental philosophy and Marx’s historical materialism, creating a unique synthesis that sublated traditional divides. This sublation elevates the empirical, seamlessly integrating it into the transcendental domain. The foundation of this paper lies in providing a concise yet comprehensive overview of the method’s theoretical underpinnings, closely followed by a meticulous dissection of its operational structure. A tangible application of the method is then vividly demonstrated through Li Zehou’s adept process of seamlessly sublating static Kantian a priori forms with the dynamic principles of Marxist social development theory, exemplifying the potency of this transformative approach in the realm of philosophy.

Synergetic Vectors of Development of Individual Forensic Theories in the context of Modern Criminal Proceedings (a Preliminary Aspect)

A rapidly developing society determines the need to adjust well-established approaches to understanding and regulating crime prevention mechanisms. It should be noted that the modern criminal policy of the state is on the verge of systemic changes. Balance of public and private interests; authority and independence of subjects of criminal proceedings; means of combating crime and social control; public and secret methods of exposing criminals; conflict and compromise; defense and prosecution; complex and simplified procedural forms of legal proceedings; inevitability of criminal prosecution and conciliation procedures; verbal and digital technologies in legal proceedings; professional skills and technical means — these are the few systemic formations, the content of which requires a modern rethinking with dew regard to prevailing realities of the functioning of society. And here the key supporting role in the formation of effective technologies for solving the problems of modern criminal proceedings, as a mechanism of complex systemic formations operating in the context of multifactorial law enforcement practice, belongs to criminalistic science. At the same time, an important tool in understanding and modeling promising vectors of the development of a system of private forensic theories is the synergetic approach, which significantly complements the wellestablished structural and systemic method in scientific knowledge. The use of the synergetics methodology makes it possible to identify not only the intrastructural connections of the system of forensic knowledge, but also to assess how such a system as a whole is affected by external (legal, ideological, etc.) factors. And the most important thing is to ensure the harmonious (regarding the changing realities of law enforcement practice) progressive development of individual private forensic theories.

How and Why Do Diaspora Give? A Conceptual Model to Understanding Diaspora Philanthropy

This article intends to contribute to further research on cross-border phenomenon in nonprofit and philanthropic studies by developing a conceptual model for diaspora philanthropy, the transfer of resources such as money, time, labor, and knowledge to countries of origin for the public good. The interdisciplinary opportunities for the topic of diaspora philanthropy can be considered a strength, but at times, they result in disparate studies and minimal consideration for larger questions and theory development. In this article, we hope to aggregate relevant research in order to remedy some of these challenges. An interdisciplinary approach allows us to chart macro, meso, and micro theories and empirical work that help to explain diaspora philanthropy. We ask: What are the (global) drivers that influence diaspora philanthropy (macro level)? What are the channels that allow for, or challenge, diaspora philanthropy (meso level)? And what are the individual motives of diaspora philanthropists (micro level)?

Low surface brightness dwarf galaxies and their globular cluster populations around the low-density environment of our closest S0 NGC 3115

Abstract Understanding faint dwarf galaxies is fundamental to the development of a robust theory of galaxy formation on small scales. Since the discovery of a population of ultra diffuse galaxies (UDGs) rich in globular clusters (GCs) in Coma, an increasing number of studies on low surface brightness dwarf galaxies (LSBds) have been published in recent years. The most massive LSBds have been observed predominantly in groups and clusters, with properties displaying dependence on the environment. In this work, we use deep DECam imaging to systematically identify LSBds and their GC populations around the low-density environment of NGC 3115. We carefully analyse the structure and morphology of 24 candidates, 18 of which are reported for the first time. Most candidates exhibit red colours suggesting a connection between their colour and distance to NGC 3115. We followed up with Gemini GMOS imaging 9 LSBds to properly identify their GC populations. We derive lower limits for the number of GCs associated with each galaxy. Our analysis reveals that they occur around of the same loci of Fornax LSB dwarf GC systems. The relationship between the number of GCs and total mass provides a tool in which, by counting the GCs in these galaxies, we estimate an upper limit for the total mass of these LSB dwarfs, obtaining the mean value of ∼3.3 × 1010 M⊙. Our results align with expectations for dwarf-sized galaxies, particularly regarding the distribution and specific frequency of their GC systems.

The integration and challenges of digital economy with the tourism industry: Evidence from the Yellow River Basin in China

As the global economic landscape evolves, the digital economy becomes a central domain, gradually deepening and widening its confluence with diverse fields. This study aims to systematically explain the intricacies and dynamics of the amalgamation of the digital economy with tourism within the Yellow River Basin. The study builds an evaluative framework based on integrative development mechanisms; this study measures the combined development between the tourism industry and the digital economy between 2011 and 2021. After this quantification, it delves into their unified growth spatiotemporal nuances and discerns impediments based on an obstacle degree analysis. As far as development is concerned, a paradigm of “dual-track convergence” is observed in the Basin, showcasing the gradual ascension of digitalization and diversification of tourism. Regarding the coupling coordination degree (CCD), the nexus between the two exhibits temporal dynamics of a “spiral ascent followed by a transient descent” and a spatial “U-shaped differentiation,” undoubtedly reflecting the vivacity and heterogeneity inherent in their integration.Regarding impediments, the analysis reveals a multifaceted dynamism of barriers across various strata. Systemically, the tourism sector encounters escalating hindrances, with digital infrastructure and market breadth constituting predominant sectoral bottlenecks. On the indicator plane, critical limiting factors include tourism's foreign exchange earnings, the influx of inbound tourists, the proliferation of web pages, e-commerce turnover, and the count of corporate entities within the software and information technology services domain. This study is based on the theory of collaborative development and offers nuanced recommendations by dissecting the co-progress of tourism and the digital economy. The insights tendered herein profoundly impact China and the global community in fostering the common proliferation in both fields.

Octopus HRD: Multidiciplinary Approach to Higher Education Human Resources Development

This study examines human resource development techniques at Raden Rahmat Islamic University in Malang, Indonesia, using a multidisciplinary approach that integrates systems theory, economics, psychology, organizational development, anthropology, sociology, and communication. Employing a qualitative, exploratory descriptive design, data was collected through structured interviews, field observations, and supporting documentation analysis. Informants were selected through purposive and snowball sampling methods, and data was analyzed using an interactive approach, involving data collection, reduction, presentation, and conclusion drawing. Triangulation ensured research validity and reliability. The findings reveal that the university adopts a holistic human resource development strategy, combining various disciplines to enhance employee skills and performance. This approach not only helps the institution achieve its performance goals but also contributes to advancements in human resource development theory and practice

Women’s Self-Discovery and Empowerment: A Cornerstone towards Sustainable Transformation

Purpose: The purpose of the research was to assess the process of self-discovery and empowerment towards sustainable transformation. The study was steered by the following objectives: Evaluate the impact of counseling on self-discovery, find out an appropriate approach to unfold financial sustainability of women doing small scale businesses and develop a theory based on analyzed scenarios. Methodology: Twenty-six case studies from poor family environment were assessed. Data was collected from mothers living in poverty, abandoned, tortured and abused by their parents and husbands. Women are living with critical physical, social, psychological and emotional wounds from their early age. Victims of all kinds of abuse, women are wounded by those who were supposed to protect and love them. Data were collected through out six years analyzing the progress of change. Counseling, trainings and seed capital have been found to be predictors of social and economic changes. Data collection tools included storytelling, individual interview, field visit- observation, focus group discussions and desk review. Analyzed case studies led to the development of Educational Healing Theory (EHT). It advocates transformative change through a series of interrelated five postulates. Findings: Firstly, it emphasizes individual counselling to confront past trauma, empowering individuals to reject abuse and envision a better future. Secondly, group or family counselling promotes community healing, laying the foundation for social and economic transformation. Thirdly, training programmes enable communities to address barriers to development and explore new opportunities. Fourthly, providing financial resources supports the process of change. Finally, continuous monitoring ensures that progress is sustained and consolidated over time. EHT has been found to be a suitable approach which creates sustainable social and economic change as evidenced by analyzed scenarios. Unique Contribution to Theory, Practice and Policy: Based on the findings, it is advised that stakeholders engaged in community transformation should utilize the five postulates of EHT.

From center to outlying areas: Navigating built-up land dynamics along urban-rural gradients in Global South megaregions

Understanding the dynamics of built-up land amidst the urban-rural transformation process is crucial for balancing the benefits of urbanization against the challenges of uncontrolled expansion. Yet, how built-up land develops across different types of human settlements, particularly within emerging Global South megaregions (GSMs), is not well documented. Employing an urban-rural gradient (URG) approach, we investigate built-up land dynamics across six representative emerging GSMs spanning 1985–2020, contextualizing our findings within urbanization theory and sustainable development discourse. Our analysis reveals that urban center growth and peri-urbanization drive a substantial proportion of built-up land expansion (36.47% and 27.39%, respectively), in contrast to the minimal increases observed in rural clusters and semi-dense areas (2.48% and 2.44%, respectively). The predominant expansion mode is sprawling growth, notably evident in peripheral areas, while densifying growth is mainly confined to urban centers and mostly uninhabited areas. Sprawling shrinkage is observed in dense and semi-dense urban areas, as well as rural clusters. These nuanced dynamics illustrate the varied ways in which regional territories engage with and are shaped by the urbanization process. Through the lens of the URG analysis, our study enhances understanding of spatial transformations in the GSMs, offering informative insights for fostering sustainable cities and human settlements.

Episodic focus formulation in media scholars’ data interaction

Introduction. Focus formulation affects task information interaction and task performance. It has typically been conceptualised as one task stage in the overall task performance. Nevertheless, we take a different approach by studying focus formulation as an episodic phenomenon in the task process performance. Episodic focus formulation includes several focus formulation episodes during task performance processes that gradually lead to focus, but instead of considering the larger task, this happens during a subtask. The purpose of this study is to examine what is episodic focus formulation like in media scholars’ data interaction. Method. We interviewed twenty-five media scholars about their research processes and related interactions with their research data. Analysis. We examined focus formulation episodes as sense-making instances. We identified the focus formulation episodes from the interview data and analysed across them by annotating and categorizing. We analysed the episodic focus formulations by subtasks and then summarised over the subtasks to cover the whole data interaction. Results. We identified three subtasks, each with three episodic focus formulations. Summarising over the subtasks showed that episodic focus formulation in data interaction encompasses task focus, data focus and procedural focus formulation. Conclusions. This study has implications for theory development and for supporting data interaction.

MIDF-DMAP: Multimodal information dynamic fusion for drug molecule activity prediction

BackgroundComputer-aided drug development can alleviate limitations in drug research and development processes, such as long cycles, high costs, and limited targeting. Deep learning models can be used to predict the activity of drug compound molecules. However, existing models still need to adequately address semantic redundancy, conflicts, and noise between different data modalities. It results in low accuracy in predicting molecular activity and many false positive results that need further resolution. ObjectiveThis study aims to design a parallel deep learning model for processing multimodal molecular information fusion, dynamically adjusting the weights of different modal features during the fusion process. This approach ensures that high-quality modal information is more significant in molecular activity prediction, improving the model’s predictive accuracy. MethodsFirst, three modal features of drug molecules are extracted: one-dimensional fingerprints, two-dimensional topological structures, and three-dimensional geometric structures. Then, a dynamic weighting mechanism is proposed to fuse these three modal features organically. Finally, the fused features are input into the model classifier to obtain molecular activity prediction results. ResultsExperimental results show that the proposed model improved the Receiver Operating Characteristic-Area Under the Curve (ROC-AUC) value by 29.96% compared to the Weave model and 26.38% compared to the GC model on the BBBP dataset. Compared to the GraphMVP model and the multi-channel substructure graph model MSGG, the ROC-AUC value increased by 20.44% and 15.80%, respectively. This method also achieved good results on imbalanced samples and small molecule datasets. ConclusionThis study provides an effective multimodal dynamic fusion method for virtual drug screening, enriching computer-aided drug development theory and improving drug research and development efficiency.

Study on Naming Common Infectious Diseases in Treatise on Cold Pathogenic and Miscellaneous Diseases

The naming factors of the representative infectious diseases in Treatise on Cold Pathogenic and Miscellaneous Diseases are various, mainly according to the cause, time and symptoms of the disease. From the perspective of cognitive linguistics, these names are mostly named by metaphor and metonymy. The types of metaphors are mainly abiotic metaphors, plant metaphors and animal metaphors, while metonymy highlights the key features. This reflects the wisdom of the ancients to transform abstract pathological phenomena into concrete perceptions. This naming principle not only highlights the essence of TCM culture, but also promotes the inheritance and development of TCM theories.

Evolution of the theory and practice of spatial development

Subject. This article analyzes the impact of the country's spatial development on economic indicators. Objectives. The article aims to analyze the theoretical concepts and cases of practical implementation of the policy of area's spatial development. Methods. For the study, we used the general scientific research methods. Results. Based on the analysis of the main provisions of the theories of the location of productive forces, central places, growth poles and axes, the article finds that the current Spatial Development Strategy of the Russian Federation until 2025 is declarative in nature. Conclusions. The article concludes that the integration of the Spatial Development Strategy of the Russian Federation until 2025 with the State program Balanced Regional Development will contribute to the spatial development of the regions of Russia.

Exploring the influence of augmented reality on tourist word-of-mouth through the lens of museum tourism

ABSTRACT This study investigates how tourist presence influences word-of-mouth (WOM) and measures whether authenticity significantly mediates presence and WOM in the Augmented Reality (AR) museum tourism experience. The survey data was collected from the AR-presented Palace Museum in China. The study found that presence positively influences tourists’ WOM, and authenticity positively mediated tourist presence and WOM. The research tested authenticity as a mediator between presence and WOM, expanding the theoretical development of presence theory and authenticity research. Furthermore, the study expands knowledge of AR in museum destination marketing and management.

A motivation-based study to explain accommodation choice of senior tourists: Hotel or Airbnb

Senior tourists, traditionally known for using offline methods and staying in hotels, are increasingly using new technologies and opting for alternative accommodation forms. Based on the push and pull theory of motivation, the generational cohort and lifespan development theories, this study fills a gap in the literature and examines senior tourists’ choice between Airbnb and hotels. A random parameter binomial logit applied to data from six European countries finds that the same motivation can act differently in this decision choice process. Rather than assuming that a motivation has an exclusive effect on each accommodation type, we propose the notion of a “differential fulfillment paradigm” to reflect the idea that two accommodation types can relate to the same motivation with different approaches. While both hotels and Airbnb can fulfill a common motivation, they do so through distinct features or attributes, offering consumers diverse avenues to achieve their desired outcome.

Examining Transformational Giftedness Through the Lens of the Theory of Positive Disintegration: Where Do We Stand?

ABSTRACT The aim of the article is to present transformational giftedness (TG) in the context of the theory of personality development. TG refers to individuals who strive to make a positive difference in the world in order to create a better place to live. Robert Sternberg divided TG into the following categories: self-realized giftedness, other-realized giftedness, and full transforming giftedness. The Theory of Positive Disintegration (TPD), developed by Kazimierz Dąbrowski, is a hierarchical, five-level theory of personality development that also encompasses personal, emotional, and moral aspects. Each level has specific characteristics related to values, psychological transformations, and overexcitabilities, among other factors. Analyses have shown possible connections between different types of TG and developmental levels.

Demographic Consequences of Major Wars

This article investigates the demographic consequences of major wars and the determinants of post-war demographic recovery, analyzing severe conflicts from 1914 to 2010 in countries across various development levels and war types. Through an empirical evaluation of demographic recovery following major wars, this paper explores how several important factors, including political capacity, foreign aid, and human capital, influence recovery patterns in societies that have experienced these conflicts. The analysis suggests that populations tend to recover to pre-war levels within a generation, often exceeding them due to significant post-war baby booms. Political capacity appears to be associated with faster recovery, while the impact of foreign aid and human capital varies across different economic contexts. The research employs a large N time-series cross-section analysis, offering a comprehensive exploration of the dynamics involved in post-war demographic recovery. The results highlight the complex relationship between political, economic, and social factors, providing a valuable foundation for future research. By integrating insights from political demography, international relations, and population studies, these findings can guide the development of new theories and models to better understand the mechanisms of post-conflict recovery. Ultimately, this research aims to inform more effective strategies and policies for post-conflict reconstruction and development, promoting sustainable peace and stability in war-affected regions.