Analysis Paradigm Research Articles

Adolescents' implicit and explicit attitudes toward their peers with genetic conditions.

Previous research has demonstrated that children lacking knowledge about genetic disorders may have harmful attitudes toward people with disabilities, but disability awareness can successfully modify these attitudes. We explored adolescents' implicit and explicit attitudes towardpeers with genetic conditions to determine whether improved genetics/genomics literacy can mitigate the impact of ableism in this population. English-speaking adolescents (10-18 years) from British Columbia were invited to complete a Disability Attitudes Implicit Association Test (DA-IAT) and participate in a semi-structured focus group centering on a fictionalized vignette about an adolescent with Down syndrome. We used pragmatism as an analytical paradigm. Descriptive and inferential statistics were used to analyze DA-IAT and sociodemographic data; phronetic iterative analysis with constant comparison as a coding strategy for transcripts; and interpretive description to develop a conceptual model. Twenty-two adolescents completed the DA-IAT and participated in one of four focus groups. Participants had a statistically significant implicit preference for non-disabled people (D-score = 0.72, SD = 0.44; t = 7.18, p < .00001). They demonstrated greater diversity in their explicit attitudes during the focus groups. Although participants articulated a positive attitude towardimproved genetics education, results demonstrate their belief that social and personal interactions with disabled peers would be essential to address negative perceptions. This study lays important groundwork to understand, explain, and influence the negative attitudes of adolescents towardindividuals with disabilities. Findings will be used to inform the design of interventions that address biased perceptions of people with genetic disorders, with the goal of reducing prejudices and improving social interactions.

For a Sociology of the Mediterranean

The great metamorphosis of the main sociological factors challenges us to abandon the presumption of colonization and the paradigm of the clash of civilizations and invites us to become aware of the changing demographic, political, economic, and cultural reality, and commits us to adopt a new analytical paradigm to understand and manage the transformation. The article proposes a synthetic analysis of this change, starting with statistical data on the migration of populations from the poorest countries on Earth to the richest ones. The analysis focuses on what is happening in the vast area of the Mediterranean. The history of the Mediterranean, this is the hypothesis put forward in the article, could help us to reflect innovatively on the demographic and cultural dynamics that are taking place in a particularly significant way. The reason for which it is hypothesized that the Mediterranean could be the privileged social place where we can reflect on the metamorphosis we are experiencing lies in the long tradition of welcoming diversity and in the capacity for the coexistence of religions, cultures, and civilizations that, over the centuries, have been the force thanks to which the whole world has been dominated, despite the clashes that historiography has unquestionably shown us. The article shows the important commitment of the leaders of the different world religions in generating spaces for encounters and dialogue between cultural diversities that cannot be analyzed within the paradigm of confrontation but require to be understood within the paradigm of confrontation and responsible coexistence. The work done so far clearly shows the possibility of dialogue between diversities, as well as pointing the way forward to socialize all different cultures to be together, without clashing for dominance; in this task, the reflections of Pope Francis and Edgar Morin on the concepts of brotherhood and fraternity appear particularly useful.

A Quantitative ABCD Analysis of Factors Driving Share Price Volatility in the Indian Pharmaceutical Sector

Purpose: This research employs an innovative ABCD (Advantages, Benefits, Constraints, and Disadvantages) analysis framework to intricately explore and evaluate the diverse factors influencing share price volatility in the Indian Pharmaceutical Sector. Delving into both individual and systemic characteristics, the study quantitatively assesses the effectiveness of various elements impacting share prices. Each component related to share price movements is meticulously assigned a score or weightage, providing a nuanced understanding of their respective contributions. Design: The researcher utilized focused group interviews to collect participants’ viewpoints on the factors influencing share price dynamics in the Indian pharmaceutical industry. Opinions were obtained through designated measurements, and the collected data underwent subsequent quantitative analysis. Findings: In the specific context of the present study, which focuses on the quantitative ABCD analysis of factors driving share price fluctuations in the Indian pharma industry, the research findings underscore the notable impact of advantageous factors on volatility. The outcome of the ABCD analysis substantiates the effectiveness of the concepts/ideas related to Factors Driving Share Price Volatility in the Indian Pharmaceutical Sector. Originality: This research introduces a novel application of the ABCD analytical paradigm to investigate factors influencing variations in the pricing dynamics of shares in the Indian pharmaceutical industry. While ABCD analysis is prevalent in diverse areas, this study pioneers a unique exploration within the pharmaceutical domain. By identifying and evaluating the crucial elements influencing share prices, this work contributes to the originality of studies in the field, presenting a distinctive approach to understanding the dynamics of the Indian pharmaceutical market. Type of Paper: Empirical Analysis.

Identifying Key Behaviour Patterns that Influence Plastic Bag Refusal Decisions

The increasing environmental crisis has made the issue of plastic waste a major topic in global discourse. Although many studies have investigated broader aspects of sustainability, few have investigated the specific behavioral patterns that lead individuals to make environmentally conscious decisions, such as refusing to use plastic bags. This study aims to fill the research gap by identifying the main behavioral patterns that influence the decision to refuse the use of plastic bags. To methodically achieve this goal, this research uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework as its guiding analytical paradigm. Data was collected through a carefully designed questionnaire, involving a sample size of 268 respondents. The decision tree algorithm was applied to the data, allowing detailed exploration of behavioral patterns that significantly contribute to plastic bag use aversion. Preliminary findings reveal the interaction of behavior, attitude and actions factors that collectively guide individuals in making sustainable choices. These insights not only contribute to the existing literature but also offer actionable avenues for future policy interventions.

The Neocolonial Structural Model Re-Foundation and The Pragmatic Inference of Organizational Culture in Ngugi Wa Thiongo’s Devil on The Cross (1980)

Through the frame frequency of the imported state and the westernization of the African political order, the social construction of the African bureaucracy appears as a structural device of abstraction, exploitation, and brutality. Then, through the frame of reference with the importation of conceptual juridical coordination and perceptual representative consensus, the African public administration enhances a frameshift transformation and a succession of causality. Therefore, in combinatorial and transactional analysis, the framework of Devil On The Cross progresses in a method of empirical processing decomposition. Within this respect, the elemental and pure imaginary of the African administration proceeds as a functional derivative governmentality and a colonial functional inception power. Subsequently, with its interaction design, processing system, and volume technique, the realm of Devil On The Cross inserts a paradigmatic analysis and a value engineering within which this African administration happens as an characteristic structural formula and an inefficient relational frame theory. Moreover, within the space-time continuum, the configuration management and the linear configuration programming of the African management apparatus, Devil On The Cross becomes a holomorphic function and an analytic continuation that reveal the anachronism nature and the asynchronous system of the African post-colonial administration.

Connecting atrial fibrillation to digestive neoplasms: exploring mediation via ischemic stroke and heart failure in Mendelian randomization studies.

Notwithstanding the acknowledged interplay between atrial fibrillation (AF) and the emergence of digestive system neoplasms, the intricacies of this relationship remain ambiguous. By capitalizing univariable Mendelian Randomization (MR) complemented by a mediated MR tactic, our pursuit was to elucidate the causative roles of AF in precipitating digestive system malignancies and potential intermediary pathways. This research endeavor seeks to scrutinize the causal clinical implications of whether genetic predispositions to AF correlate with an increased risk of digestive system malignancies, employing MR analytical techniques. Utilizing a dataset amalgamated from six studies related to AF, encompassing over 1,000,000 subjects, we performed univariable MR assessments, employing the random-effects inverse-variance weighted (IVW) methodology as our principal analytical paradigm. Subsequently, a mediated MR framework was employed to probe the potential mediating influence of AF on the nexus between hypertension (HT), heart failure (HF), ischemic stroke (IS), coronary artery disease (CAD), and digestive system neoplasms. The univariable MR evaluation unveiled a notable causal nexus between the genetic inclination toward AF and the genetic susceptibility to colon, esophageal, and small intestine malignancies. The mediated MR scrutiny ascertained that the genetic inclination for AF amplifies the risk profile for colon cancer via IS pathways and partially explains the susceptibility to esophageal and small intestine tumors through the HF pathway. Our investigative endeavor has highlighted a definitive causative association between genetic inclination to AF and specific digestive system neoplasms, spotlighting IS and HF as instrumental mediators. Such revelations furnish pivotal perspectives on the complex genetic interconnections between cardiovascular anomalies and certain digestive tract tumors, emphasizing prospective therapeutic and diagnostic worthy of pursuit.

Ontological Augmentation and Analytical Paradigms for Elevating Security in Healthcare Web Applications

The 4th and 5th industrial revelations provided huge access to a high volume of information in healthcare sectors. However, the vast majority of web applications are under attack constantly. Due to the huge volume of attack vectors in recent years, technical breaches to the web applications of healthcare sectors are becoming a common issue. Hence, it is essential to develop an effective framework that would help experts and healthcare practitioners in web application security management. In this research, we proposed an ontology-based technique for developing secure online web applications in healthcare sectors. This study presents a conceptual framework with 5 stages namely: idea understanding, requirement identification, design and code, threat classification, and facilitate. The proposed methodology involves several various advantage features such as providing a unified path for future professional applications. Also, the proposed solution provides a clear pathway for implementing the easy-to-use secure web application development in short term in the healthcare sector. Finally, the study used a multi-criteria decision-making methodology to undertake a performance simulation assessment. Out of the evaluated process, Fuzzy-AHP has shown better performance for scheduling each step of the final developed security system better. In the future, the proposed method will be evaluated using more databases in the healthcare sector to improve the applications of the proposed method.

CSR Expenditure on Indian Aerospace and Defence Comapnies - An Analytical Paradigm

CSR Expenditure on Indian Aerospace and Defence Comapnies - An Analytical Paradigm

DECODING PATRIARCHAL BIASES AT WORK IN COMICS: A STUDY OF THE CODIFICATION OF FEMININITY THROUGH THE IMAGE-TEXT COMBINE WITH SPECIAL REFERENCE TO POPULAR VERNACULAR COMICS NONTE FONTE AND HANDA BHONDA

Any image accompanies with it two concepts viz. communication and representation. Both these concepts are potent tools to be analysed from the perspective of study of signs or semiotics. But the monolithic study of signs or codes embedded in representation or communication curbs the scholarly or multidimensional spaces in which a representation/image representation can be analysed, examined or investigated. If we consider a pictorial representation only as an image choosen/preferred randomly, we will miss the ideological bias in which it is produced. Therefore image representation of women/ female in any text provides the ground for analyzing the term ‘politics of representation’ since no production is devoid of power structure that always invariably empowers a dominant one dictating /controlling the production, reception and dissemination of ‘texts’ (the term text to be comprehended in post-modern sense) thus creating possibilities of stereotyping, distortion, hegemonisation, homogenization, etal of women characters. Even under the tactful gloss of figuring ideal female characters of mythology or sculptures in temples,etc in different ancient Indian art forms, the patriarchal ideology of depicting women with perfect female body according to Indian aesthetics operates. The paper focuses on the production, reception, nonreception as a result of dominant market forces of comics on women or female representation in comic’s genre. It adopts research methodology of content (image –text representataion of women) analysis as case study; paradigmatic analysis with panels from Nonte Fonte and Handa Bhonda, two popular vernacular Bengali comics to investigate how does a change in an image can affect the reception; as well as excerpts from interview with target reader/viewer of comics/audio-visual projection of comics to examine decodification of female presence by a child as receiver of such texts; and inputs from the interview with the writer –illustrator of Nonte Fonte and Handa Bhonda , have been included to examine the codification and decodification process of image-text combination of comics.

ПАРАДИГМА РАЗВИТИЯ АНАЛИТИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ТАМОЖЕННЫХ АДМИНИСТРАЦИЙ: КОНЦЕПТУАЛЬНЫЙ И МЕТОДИЧЕСКИЙ АСПЕКТЫ

The article presents the conceptual and methodological provisions of the analytical paradigm, the theoretical and practical importance of which increases in the context of informatization and automation of management processes, including in the system of customs administration. The idea of customs analytics represents a special cross-section of the activities of the Federal Customs Service, focused on the key tasks of managing foreign trade processes. The analysis and monitoring of the sphere of foreign economic activity is accompanied by many analytical tasks from structuring information to setting a problem and developing its solutions, the quality of which is related to the level of development of analytical support: theoretical, methodological, methodological, instrumental, etc. However, the development of analytical activities in the customs authorities should be focused and focused on the strategic goals of the Federal Customs Service of Russia. It is this aspect that is revealed in the article within the framework of the analytics paradigm.

Research on early fault detection method for a new distribution system based on automatic arc power

The assimilation of copious renewable energy sources into contemporary distribution systems has markedly transmuted fault dynamics, engendering fluctuating operational states and curtailed short-circuit currents. Consequently, incipient arc faults may herald imminent system short-circuits, obviating the complexities associated with the new distribution system's disconnection by facilitating their precocious detection. A quantitative analytical paradigm has been contrived for the nascent fault current and temperature, while theoretical scrutiny elucidates the impediments to dependable detection predicated solely on current or temperature metrics. An innovative detection methodology, amalgamating current and temperature readings and leveraging arc power as a composite indicator, has been advanced. This proposed mechanism synergizes the alacrity of the electrical signal—specifically, the zero-sequence current—with the heightened sensitivity and dependability of the thermal signal—temperature—thereby surpassing the reliability of extant approaches. The efficacy of this method has been corroborated through PSCAD simulations, empirical field data, and controlled laboratory fault experimentation.

ЧУВСТВО ЛЮБВИ В МЕТАФОРИЧЕСКОМ ПРОСТРАНСТВЕ РУССКОГО ЯЗЫКА: ОСНОВНЫЕ ПРОЕКЦИИ И МОДЕЛИ

The authors analyze the metaphorical representation of love basing their observations on dictionary data. The object of the study is the metaphorical lexicon of love (249 items, 37% of the total amount of words related to the semantics of love). The subject of the study is the regular metaphorical mappings of the feeling of love and their categorization in relation to the source domain, which serves as a basis for further classification of metaphorical models (M-models). The goal of the study is to identify metaphorical mappings of the feeling of love, to define the structure of denotative ideographic spheres and groups that fill the position of the source domain and form the metaphorical representation of love. The authors suggest an analysis algorithm that consists of the following steps: 1) collection of the corpus of love metaphors; 2) categorization of the words with metaphorical meanings; 3) identification of the core M-models and regular metaphorical mappings; 4) statistical description of the M-models in the “field” format; 5) interpretation of the metaphorical representation of love. The authors conducted paradigmatic analysis of the thematic groups serving as the source domain of the metaphors of love and identified 10 metaphorical mappings on the supercategorical level and 44 M-models on the level of basic categories. As a result, the structure of the metaphorical space has been arranged with regards to the priorities of the metaphorical mappings, and the inventory of the M-models has been itemized. The metaphorical space of love is demonstrated to be polycentric, with the bulk of it being formed by the lexical groups belonging to the denotative spheres of “Concrete Physical Activity”, “Inanimate Nature”, “Public and State”, “Animate Nature”, “Supernatural”. The lexical content of the M-models demonstrates the priorities of filling specific fragments of the metaphorical representation of love.

Narrative Analysis in English Language Teachers’ Professional Identity Research: A Review

Amidst the escalating emergence of generic methodological articles on narrative inquiry, this article critically reviews diff erent narrative analysis approaches and their application in English language teachers’ professional identity research. For this purpose, we reviewed currently available methodological books and articles on narrative inquiry in general and narrative analysis in particular. Additionally, we reviewed twenty purposively selected empirical articles published since 2015 thatemployed narrative inquiry to explore English teachers’ professional identities. A review of methodological articles revealed that the narrative analysis and analysis of narrative dichotomy are blurred as a certain level of interpretation occurs during the co-construction of stories, transcribing, translating, restorying, and fi nally, the consumption of the reports by the readers. Consequently, many researchers have considered paradigmatic analysis as the first step of narrative analysis. In contrast, research practices showed that the interpretation of stories begins only after story generation. Besides, amongst diff erent narrative analysis approaches, positioning analysis underscores how tellers represent themselves through narratives, whereas the small story approach of Barkhuizen accentuates analyzing content and context; however, narrative forms and linguistic features and their motives are rarely investigated. Though the small stories approach of Georgakopoulou (2007) advocates explicitly for considering ways of telling (linguistic features and communicative how), it is rarely evident in practice. This article, therefore, identifies a need for a comprehensive narrative analysis approach that considers what (content), where and when (context), how (form), and who and why (agency and discourse) of the story.

The Good, the Bad and the Ugly! A Paradigmatic Analysis of Adultery Trope Variances in Movies

The Good, the Bad and the Ugly! A Paradigmatic Analysis of Adultery Trope Variances in Movies

Unleashing Transformative Potential of Artificial Intelligence (AI) in Countering Terrorism, Online Radicalisation, Extremism, and Possible Recruitment

This research explores the implications of Artificial Intelligence (AI) in deciphering the multifarious manifestations of online Radicalisation, Extremism, and possible recruitment. It analyses AI's capabilities in disseminating positive representations and counter-narratives, its instrumental role in analysing positive imagery, optimising platform reach, and its pivotal contribution to global efforts to combat online extremism. However, AI's dualistic nature underscores the need for its ethical and responsible utilisation to curb extremist content effectively. It necessitates the development of balanced, nuanced, and coherent approaches, amalgamating enhanced analytical paradigms, collaborative efforts, ethical frameworks, strategic insight, and diversified applications. The formulation of such multifaceted approaches and cohesive strategies is paramount in navigating the intricate terrains of online extremism and in enhancing societal resilience against the proliferation of extremist ideologies. The study concludes that the strategic and ethical deployment of AI technologies is pivotal in reshaping digital discourse and in the collective endeavour to counterbalance extremist ideologies.

The impact of digital financial inclusion on China's regional disparities in the quality of economic development: Based on the relational data paradigm

This study constructs a multi-dimensional evaluation system for the quality of economic development (QED) and measures the QED in 30 provinces of China from 2012 to 2021. The results show that both QED and digital financial inclusion (DFI) exhibit significant differences across space and time. Specifically, QED and the development level of DFI are higher in eastern regions compared to central and western regions of China. Additionally, while regional disparities in DFI show an upward tendency, they are trending downward in QED. Based on the analytical paradigm of relational data, this research investigates the influence of DFI on regional disparities in QED using econometric models of relational data and the quadratic assignment procedure. This research finds that: (1) Regional differences in DFI, including breadth of coverage and depth of usage, positively impact regional disparities in QED when looking at the full sample. (2) Analyzed by region, DFI's regional disparities positively influence QED's regional disparities in the eastern and western regions of China. (3) Compared across years, the impact intensity of DFI on regional disparities in QED exhibits an overall rising trend, with depth of usage rising the most, while the impacts of coverage breadth and digitization degree weaken. This study not only promotes the understanding of the relationship between DFI and QED, but also provides a policy reference for narrowing regional development disparities, promoting coordinated development, and improving the quality of economic development.

A species' response to spatial climatic variation does not predict its response to climate change.

The dominant paradigm for assessing ecological responses to climate change assumes that future states of individuals and populations can be predicted by current, species-wide performance variation across spatial climatic gradients. However, if the fates of ecological systems are better predicted by past responses to in situ climatic variation through time, this current analytical paradigm may be severely misleading. Empirically testing whether spatial or temporal climate responses better predict how species respond to climate change has been elusive, largely due to restrictive data requirements. Here, we leverage a newly collected network of ponderosa pine tree-ring time series to test whether statistically inferred responses to spatial versus temporal climatic variation better predict how trees have responded to recent climate change. When compared to observed tree growth responses to climate change since 1980, predictions derived from spatial climatic variation were wrong in both magnitude and direction. This was not the case for predictions derived from climatic variation through time, which were able to replicate observed responses well. Future climate scenarios through the end of the 21st century exacerbated these disparities. These results suggest that the currently dominant paradigm of forecasting the ecological impacts of climate change based on spatial climatic variation may be severely misleading over decadal to centennial timescales.

Contemporary High-Performance Computing for Big Data Applications

High-performance computing (HPC) involves leveraging parallel data processing to enhance computer performance and handle difficult tasks. HPC meets these aims by pooling computing capacity, enabling efficient, reliable, and prompt execution of even complex programs according to user demands and expectations. The rapid growth of HPDA in many sectors has led to the extension of the HPC market into new territory. HPC as well as Big Data systems differ not just in terms of technology but also in ecosystems. Extensive research in this sector has led to the emergence of various Big Data analytics models in recent years. As Big Data analytics spreads across several fields, new challenges about the usefulness of analytical paradigms also emerge. This article discusses the key analytical models, as well as the difficulties and challenges associated with high-performance data analytics. This research work aims to identify the factors influencing the integration of HPC with big data, including present and future trends. The study also proposes an architecture for big data with HPC convergence based on design principles.

A NEW PROPOSED LIGHTWEIGHT CIPHER

Modern cryptography algorithm development has favored hardware optimization in computer systems. This is especially important for fitting cryptographic protocols onto devices with limited computing capacity, volume, and power consumption. Lightweight cryptography is an intellectual pursuit that develops cryptographic methods for economically frugal systems. This study introduces a revolutionary lightweight block cipher based on bio features for adequate cryptographic data security. A carefully planned sequence of analytical paradigms, the core of which involves complex computations to evaluate the proposed cryptographic approach, supports this innovation's theoretical foundations. As detailed in the research, these extensive assessments demonstrate the technology's strong security. The essay examines frequency analysis, frequency within block analysis, and the run test to provide a more complete review. These analytical tools provide sophisticated information regarding the algorithm's resilience to specific cryptographic vulnerabilities. Frequency analysis measures value distribution in the cipher, revealing possible susceptibilities. Frequency within block analysis shows complex value patterns inside discrete blocks, indicating the algorithm's behavior under certain situations. The run test is essential for determining the algorithm's avalanche impact. A careful evaluation of sequential value distribution tests the algorithm's innate sensitivity to input changes, a prerequisite for cryptographic security. This paper carefully examines cryptography algorithmic assessment following academic abstract principles. It includes core security assessments, frequency, frequency within the block, and run tests. The proposed lightweight block cipher's evaluative rigor supports its merit and cogency, making it a significant contribution to the evolving landscape of cryptographic algorithms for resource-constrained computational ecosystems.

Socioeconomic Paradigms Influencing the Allocation of Oncological Therapeutics: A Comparative Study

Cancer presents a formidable globalized public health challenge with extensive socioeconomic ramifications. This paper investigates the socioeconomic optimality of mRNA-based oncological platforms concerning cancer amelioration. Quantitative analysis discerned the socioeconomic effectiveness of mRNA candidates. Clinical immunogenicity data demonstrated efficacy variability amongst platforms. Cost-benefit assessment discerned CV9202's superior cost-effectiveness, representing socioeconomic optimality. These methodological developments provide a comparative basis to contextualize implementation gaps and accessibility disparities. Socioeconomic cognizance permits tailored therapeutic accommodation for economic constraints, improving patient outcomes through optimized distribution. Further generalization necessitates extensive efficacy data over prolonged timeframes encompassing long-term immunological durability. Societal stigmatization presents additional complications. This research delineates an analytical paradigm to discern optimal therapeutic allocation given socioeconomic circumstances. Improved patient-provider relations may arise from responsive distribution models sensitive to socioeconomic factors. Optimal distribution has advantageous implications for stakeholders. Future research could assess preventative applications, combination therapies, infrastructural variables, and extensive candidates. In conclusion, this methodology demonstrates means of optimizing distribution congruent with socioeconomic factors to improve accessibility and cancer outcomes through cost-effective therapeutic platforms like mRNA vaccination.