Systematic Exploration Research Articles

CoPheScan: phenome-wide association studies accounting for linkage disequilibrium

Phenome-wide association studies (PheWAS) facilitate the discovery of associations between a single genetic variant with multiple phenotypes. For variants which impact a specific protein, this can help identify additional therapeutic indications or on-target side effects of intervening on that protein. However, PheWAS is restricted by an inability to distinguish confounding due to linkage disequilibrium (LD) from true pleiotropy. Here we describe CoPheScan (Coloc adapted Phenome-wide Scan), a Bayesian approach that enables an intuitive and systematic exploration of causal associations while simultaneously addressing LD confounding. We demonstrate its performance through simulation, showing considerably better control of false positive rates than a conventional approach not accounting for LD. We used CoPheScan to perform PheWAS of protein-truncating variants and fine-mapped variants from disease and pQTL studies, in 2275 disease phenotypes from the UK Biobank. Our results identify the complexity of known pleiotropic genes such as APOE, and suggest a new causal role for TGM3 in skin cancer.

Neural network learning and Quantum Gravity

The landscape of low-energy effective field theories stemming from string theory is too vast for a systematic exploration. However, the meadows of the string landscape may be fertile ground for the application of machine learning techniques. Employing neural network learning may allow for inferring novel, undiscovered properties that consistent theories in the landscape should possess, or checking conjectural statements about alleged characteristics thereof. The aim of this work is to describe to what extent the string landscape can be explored with neural network-based learning. Our analysis is motivated by recent studies that show that the string landscape is characterized by finiteness properties, emerging from its underlying tame, o-minimal structures. Indeed, employing these results, we illustrate that any low-energy effective theory of string theory is endowed with certain statistical learnability properties. Consequently, several local learning problems therein formulated, including interpolations and multi-class classification problems, can be concretely addressed with machine learning, delivering results with sufficiently high accuracy.

A survey of ontology-enabled processes for dependable robot autonomy.

Autonomous robots are already present in a variety of domains performing complex tasks. Their deployment in open-ended environments offers endless possibilities. However, there are still risks due to unresolved issues in dependability and trust. Knowledge representation and reasoning provide tools for handling explicit information, endowing systems with a deeper understanding of the situations they face. This article explores the use of declarative knowledge for autonomous robots to represent and reason about their environment, their designs, and the complex missions they accomplish. This information can be exploited at runtime by the robots themselves to adapt their structure or re-plan their actions to finish their mission goals, even in the presence of unexpected events. The primary focus of this article is to provide an overview of popular and recent research that uses knowledge-based approaches to increase robot autonomy. Specifically, the ontologies surveyed are related to the selection and arrangement of actions, representing concepts such as autonomy, planning, or behavior. Additionally, they may be related to overcoming contingencies with concepts such as fault or adapt. A systematic exploration is carried out to analyze the use of ontologies in autonomous robots, with the objective of facilitating the development of complex missions. Special attention is dedicated to examining how ontologies are leveraged in real time to ensure the successful completion of missions while aligning with user and owner expectations. The motivation of this analysis is to examine the potential of knowledge-driven approaches as a means to improve flexibility, explainability, and efficacy in autonomous robotic systems.

Spontaneous bilateral ectopic pregnancy. A case report from Regional Hospital of Niamey

Spontaneous bilateral ectopic pregnancy is an extremely rare event, occurring in 1/750 to 1/580 of all ectopic pregnancies, and in 1 case in 200,000 pregnancies. Nonetheless, this occurrence appears to be on the rise owing to Assisted Reproductive Technology. In this report, we present a singular case of spontaneous bilateral ectopic pregnancy in a 28-year-old patient under our care. The diagnosis was established during exploratory laparotomy, revealing an unruptured ectopic pregnancy on the left and a ruptured ampullary ectopic pregnancy on the right tub, resulting in hemoperitoneum. Bilateral salpingectomy was performed. The patient received one pack of red blood cells transfusion in postoperative period. The recovery period was simple. She left the hospital on post-operative day 3. We recommend a systematic exploration of the contralateral fallopian tube in order to eliminate the risk of a bilateral ectopic pregnancy, which could result in a fatal outcome. Keywords: Bilateral ectopic pregnancy, Salpingectomy, Regional Hospital Center, Niger.

Advancing quality of laser-based metal powder bed fusion-fabricated filigree sub-millimetre structures: a systematic exploration of a novel hybrid post-processing treatment

Laser-based metal powder bed fusion (PBF-LB/M) offers great potential for producing complex and filigree sub-millimetre parts with customised shapes, such as patient-specific vascular stents. However, stent fabrication via PBF-LB/M encounters fundamental challenges, including dimensional limitations, poor surface quality, difficult support structure handling and geometrical deviations.This study addresses these challenges by investigating the potential and limitations of a novel hybrid post-processing approach. This technique uses the combination of electrochemical polishing and chemical etching and is investigated from process and design perspectives, to emphasise the interactions between the two.With the systematic application of hybrid post-processing, the strut thickness and the surface roughness were substantially reduced. Moreover, it enabled the successful removal of part-internal support structures. Furthermore, angle and orientation-dependent geometrical deviations could be compensated, highlighting the potential of achieving homogenous strut thicknesses within parts containing variable overhang angles.This study demonstrates that the usage of hybrid (electro)chemical post-processing methods with specifically tailored process parameters is a promising approach for overcoming the design- and process-related challenges in PBF-LB/M manufactured sub-millimetre parts.

Why do we engage in everyday interpersonal emotion regulation?

Interpersonal emotion regulation occurs when people influence others' emotions (extrinsic regulation) or turn to others to influence their own emotions (intrinsic regulation). Research on interpersonal regulation has tended to focus on how people regulate emotions, with little interrogation of why people do it, despite the importance of motives in driving emotion regulation goals and strategy selection. To fill this gap, we conducted a systematic exploration of interpersonal emotion regulation motives, employing a participant-driven approach to document the breadth of motives that people hold across different social contexts. Study 1a (N = 100) provided an initial qualitative examination of motives for both intrinsic and extrinsic interpersonal emotion regulation. Study 1b (N = 399) quantitatively catalogued these motives in recalled social interactions. Study 2 (N = 200), a daily diary study, used the motive taxonomy generated in Studies 1a and 1b to understand why people regulated their own and others' emotions in everyday social interactions over the course of 14 days. Together, our findings reveal the diversity of intrinsic and extrinsic interpersonal emotion regulation motives and open avenues to further explore motives both as a precursor to and an outcome of regulatory processes in daily life. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

U(VI) sorption on illite in the Co-existence of carbonates and humic substances

The presence of carbonates or humic substances (HS) will significantly affect the species and chemical behavior of U(VI) in solution, but lacking systematic exploration of the coupling effect of carbonates and HS under near real environmental conditions at present. Herein, the sorption behavior of U(VI) on illite was systematically studied in the co-existence of carbonates and HS including both humic acid (HA) and fulvic acid (FA) by batch technique. The distribution coefficients (Kd) increased as function of time and temperature but decreased with increasing concentrations of initial U(VI), Ca2+, and Mg2+, as well as ion strength. At pH 2.0–10.5, the Kd values first increased rapidly and then decreased visibly, with its maximum value appearing at pH 5.0, owning to the changes in the interaction between illite and the dominant species of U(VI) from electrostatic attraction to electrostatic repulsion. The sorption was a heterogeneous, spontaneous, and endothermic chemical process, which could be well described by pseudo-second-order kinetic and Flory-Huggins isotherm models. When carbonates and HA/FA coexisted, the Kd values always increased first and then decreased as a function of pH, with the only difference for HA and FA being the key pH (pHkey) at which the promoting and inhibiting effects on the sorption of U(VI) onto illite undergo a transition. The carbonates and HS have a synergistic inhibitory effect on the U(VI) sorption onto illite at pH 7.8. FTIR and XPS spectra demonstrated that the hydroxyl groups on the illite surface and in the HS were involved in U(VI) sorption on illite in the presence of carbonates. These results provide valuable data for a deeper understanding of U(VI) migration in geological media.

O-132 A systematic spatial HiPlex proteomics exploration of human testicular tissues from birth to adulthood

Abstract Study question Can we map the key maturation stages of human spermatogonial stem cells (SSCs) within their niche during infancy and puberty? Summary answer Using highplex spatial proteomics, we describe the key cellular events taking place during human testis maturation. What is known already The human testis is a complex “ecosystem” that matures in response to endocrine and exocrine signals and interactions between its diverse cellular components. Unlike animal models, in humans, testicular maturation is a slow process that takes place over more than a decade. In contrast to ovaries, the human testis retains its immature state until the onset of puberty. Single-cell RNA sequencing data has revealed significant developmental changes for germ cell and the somatic niche during infancy and puberty. Study design, size, duration Using the hyperplex imaging technique (CellDIVE) and a panel of 30 protein markers - selected to label key components of the developing human testis - we have systematically analyzed a time series of ∼75 testicular biopsies from boys aged 8 months to adulthood. Following sequential staining and capture of high-resolution images, our analysis pipeline involves the conversion of image into single-cell data, which allows a systematic description of the spatial SSC/niche microenvironment interactions across development. Participants/materials, setting, methods The panel of antibody markers was defined using integrated scRNAseq data and represents all key cell types, including germ cell markers (e.g., MAGEA4), Sertoli cell markers (e.g., SOX9), Leydig cell markers (e.g., INSL3), myoid cell markers (e.g., ACTA2) ... Main results and the role of chance To describe the events occurring during human testicular maturation, we build a Tissue Microarray (TMA) containing ∼75 biopsies of boys of different ages (0-16yrs old) and using an in-house panel of 30 markers for high-dimensional multiplex CELL DIVE images. Our analytical strategy uses Uniform Manifold Approximation and Projection (UMAP) maps to quantify and statistically compare single-cell data. Our marker panel allows us to phenotype testicular cells at different stages of development, including SSCs (state 0 to state 4), Sertoli cells, Leydig cells, and so on. Moreover, employing spatial-latent Dirichlet allocation (LDA), we identified recurrent cellular neighbourhoods (RCNs), revealing distinct cell clusters and their corresponding RCNs. These RCNs reflect recurring spatial arrangements of cells within testicular tissues, allowing us to infer the spatial organization and interplay among different cell types. Additionally, we explored spatial distances and neighbourhood frequencies across different tissues and conducted spatial co-occurrence analysis to assess the likelihood of finding adjacent cell types. The identification of RCNs offers valuable insights into the microenvironmental dynamics and cellular relationships taking place within the developing testis. Looking ahead, we aim to delve into the functional significance of RCNs in shaping the developmental trajectories and physiological processes within human testicular tissues. Limitations, reasons for caution Due to limitations in proteomics techniques, we could only include ∼30 protein markers on our panel. Although the biopsy samples used in our study are all from chemo-naïve patients, it possible that the conditions affecting these paediatric patients may impact the architecture or development of their testicular tissues. Wider implications of the findings Our study provides a systematic approach to study the development and organization of human testicular structures, which will allow to enumerate the cellular content of individual testicular biopsies and infer their stage of maturation, therefore providing a personalised baseline assessment for each patient at the time of cryopreservation. Trial registration number not applicable

Systematic approach to the analysis of the structure of the scientific infrastructure of Kazakhstan

This article employs a systematic approach to examine the structure of Kazakhstan’s scientific infrastructure, emphasizing its role as a harmonious network of organizations dedicated to fostering entrepreneurship in the realm of science and technology. The central aim is to comprehensively assess the scientific infrastructure of Kazakhstan, encompassing its constituent elements, the overall state of science in the country, its scientific, scientific-technical, and human potential. Furthermore, the article conducts a meticulous examination of the conditions across various scientific domains. Through this analysis, the article identifies a complex web of connections that imbue the scientific infrastructure with systemic attributes, enabling a comprehensive understanding of their diversity, quality, and distinct roles in its development. Notably, the author underscores the pivotal role played by the state in shaping and advancing the scientific infrastructure, as it possesses the capacity to pool the essential resources required for its efficient operation. This is essential for establishing systemic innovation within the economy, thereby incentivizing economic entities to pursue novel advancements. Besides, this article offers a systematic exploration of Kazakhstan’s scientific infrastructure, highlighting its significance as a facilitator of innovation and commercialization of scientific and technical research.

Obtaining analytical solutions of (2+1)-dimensional nonlinear Zoomeron equation by using modified F-expansion and modified generalized Kudryashov methods

PurposeThe purpose of the article is to conduct a mathematical and theoretical analysis of soliton solutions for a specific nonlinear evolution equation known as the (2 + 1)-dimensional Zoomeron equation. Solitons are solitary wave solutions that maintain their shape and propagate without changing form in certain nonlinear wave equations. The Zoomeron equation appears to be a special model in this context and is associated with other types of solitons, such as Boomeron and Trappon solitons. In this work, the authors employ two mathematical methods, the modified F-expansion approach with the Riccati equation and the modified generalized Kudryashov’s methods, to derive various types of soliton solutions. These solutions include kink solitons, dark solitons, bright solitons, singular solitons, periodic singular solitons and rational solitons. The authors also present these solutions in different dimensions, including two-dimensional, three-dimensional and contour graphics, which can help visualize and understand the behavior of these solitons in the context of the Zoomeron equation. The primary goal of this article is to contribute to the understanding of soliton solutions in the context of the (2 + 1)-dimensional Zoomeron equation, and it serves as a mathematical and theoretical exploration of the properties and characteristics of these solitons in this specific nonlinear wave equation.Design/methodology/approachThe article’s methodology involves applying specialized mathematical techniques to analyze and derive soliton solutions for the (2 + 1)-dimensional Zoomeron equation and then presenting these solutions graphically. The overall goal is to contribute to the understanding of soliton behavior in this specific nonlinear equation and potentially uncover new insights or applications of these soliton solutions.FindingsAs for the findings of the article, they can be summarized as follows: The article provides a systematic exploration of the (2 + 1)-dimensional Zoomeron equation and its soliton solutions, which include different types of solitons. The key findings of the article are likely to include the derivation of exact mathematical expressions that describe these solitons and the successful visualization of these solutions. These findings contribute to a better understanding of solitons in this specific nonlinear wave equation, potentially shedding light on their behavior and applications within the context of the Zoomeron equation.Originality/valueThe originality of this article is rooted in its exploration of soliton solutions within the (2 + 1)-dimensional Zoomeron equation, its application of specialized mathematical methods and its successful presentation of various soliton types through graphical representations. This research adds to the understanding of solitons in this specific nonlinear equation and potentially offers new insights and applications in this field.

Technology of High-k/Metal-Gate Stack

Abstract The High-k/Metal-Gate Stack (HKMG) technology represents a seminal advancement in semiconductor fabrication, predicated upon the substitution of SiO2 with high-k dielectric materials, coupled with the integration of metal gate materials. This technological paradigm shift has emerged as a transformative response to the intricate challenges encountered within the semiconductor industry, a sector perpetually engaged in the relentless pursuit of diminishing the critical dimensions of semiconductor devices. Issues such as increased power leakage, enhanced parasitic capacitance, and the escalating complexity of gate insulators have impeded the sustainable downscaling of traditional silicon dioxide-based devices. These challenges have necessitated a comprehensive re-evaluation of the materials and processes involved in semiconductor manufacturing, leading to the conception and evolution of the HKMG technology. This article’s analysis of the developmental trajectory of HKMG technology reveals a progression marked by the systematic exploration of alternative high-k dielectric materials, rigorous compatibility assessments with metal gate materials, and the concurrent refinement of manufacturing processes to ensure seamless integration. After that, elucidating the impediments encountered during its evolution and expounding upon the corresponding ameliorative measures instituted. Looking ahead, ongoing research focusing on the synthesis of advanced high-k dielectric materials, and the development of novel metal gate materials with superior compatibility to further enhance device performance and functionality makes HKMG technology a huge prospect. Such advancements are paving the way for the realization of more powerful, energy-efficient, and compact electronic devices.

Reinforcement learning optimal control method for multi chiller HVAC system in an existing office building

Abstract Given that buildings consume approximately 33% of global energy, and HVAC systems contribute nearly half of a building’s total energy demand, optimizing their efficiency is imperative for sustainable energy use. Many existing buildings operate HVAC systems inefficiently, displaying non-stationary behavior. Current reinforcement learning (RL) training methods rely on historical data, which is often obtained through costly modeling or trial-and-error methods in real buildings. This paper introduces a novel reinforcement learning construction framework designed to improve the robustness and learning speed of RL control while reducing learning costs. The framework is specifically tailored for existing office buildings. Applying this framework to control HVAC systems in real office buildings in Beijing, engineering practice results demonstrate: during the data collection phase, energy efficiency surpasses traditional rule-based control methods from the previous year, achieving significantly improved energy performance (a 17.27% reduction) with minimal comfort sacrifices. The system achieves acceptable robustness, learning speed, and control stability. Reduced ongoing manual supervision leads to savings in optimization labor. Systematic exploration of actions required for RL training lays the foundation for RL algorithm development. Furthermore, by leveraging collected data, a reinforcement learning control algorithm is established, validating the reliability of this approach. This construction framework reduces the prerequisites for historical data and models, providing an acceptable alternative for systems with insufficient data or equipment conditions.

Silk fibroin wetting stability film induced by polyamide-amine-epichlorohydrin (PAE) for intelligent sensing system

Protein materials gain new functions and applicability through redesigns in protein structure and engineering confer. However, the application and development of proteins for use in flexible devices that fit in flexible devices that fit the surface of human skin is hindered by their poor wet stability. Here, we described the design of wet-stable materials based on the reconstruction of silk fibroin (SF). The combination of polyamide-amine-epichlorohydrin (PAE) was used as a traction rope to bring SF molecular chains closer to each other, to facilitate the self-assembly of SF through branching and lengthening of molecular chains, and change its crystalline structure. SF/PAE composite films that exhibited huge improvement in ductility and wet stability were combined with flexible SF substrates via patterning and ion sputtering to prepare flexible sensors. In addition, the SF/PAE sensing system equipped with a microprocessor and Bluetooth module enabled the real-time remote acquisition of human health signals such as vocal cords, joints, pulse and meridians. This reconfiguration of the SF structure will advance the systematic exploration of protein structures and the development of protein materials for intelligent device applications.

Unveiling Urban Health Resilience in the COVID-19 Pandemic: A Systematic PRISMA Exploration of Key Parameters and Strategies

Urban health resilience is vital for cities, particularly during public health crises like the COVID-19 pandemic. Itrepresents a city's capacity to anticipate, respond to, and recover from challenges across environmental, social,and health-related domains. This study presents a systematic review of the literature concerning urban healthresilience, with a specific focus on identifying key parameters impacting urban health during the COVID-19pandemic. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses)methodology, this research conducts an in-depth review of the literature from the year 2019. systematicallyevaluating studies discussing urban health resilience in relation to the COVID-19 pandemic in metropolitan areas.The study findings provide valuable insights by highlighting the connection between urban parameters related tourban form and the transmission of COVID-19, a recent pandemic. To reduce virus transmission during publichealth crises, cities must implement effective measures across various aspects, including cultural, spatial,ecological, and infrastructural factors. The article emphasizes the importance of strategic urban planning andresponse measures to enhance resilience against pandemics.

Rocket Dynamics of Capped Nanotubes: A Molecular Dynamics Study.

The study of nanoparticle motion has fundamental relevance in a wide range of nanotechnology-based fields. Molecular dynamics simulations offer a powerful tool to elucidate the dynamics of complex systems and derive theoretical models that facilitate the invention and optimization of novel devices. This research contributes to this ongoing effort by investigating the motion of one-end capped carbon nanotubes within an aqueous environment through extensive molecular dynamics simulations. By exposing the carbon nanotubes to localized heating, propelled motion with velocities reaching up to ≈0.08 nm ps-1 was observed. Through systematic exploration of various parameters such as temperature, nanotube diameter, and size, we were able to elucidate the underlying mechanisms driving propulsion. Our findings demonstrate that the propulsive motion predominantly arises from a rocket-like mechanism facilitated by the progressive evaporation of water molecules entrapped within the carbon nanotube. Therefore, this study focuses on the complex interplay between nanoscale geometry, environmental conditions, and propulsion mechanisms in capped nanotubes, providing relevant insights into the design and optimization of nanoscale propulsion systems with various applications in nanotechnology and beyond.

A Psycho-Spiritual Approach to Purpose-Based Career Coaching: A Step-By-Step Guide for Practitioners

Life is meaningless, drowsy, stressful, boring, wasteful, and fruitless without purpose. Hence, purpose justifies someone’s existence on earth. It is assumed therefore that nobody was born by accident. The Creator, God thought about it and decided that it was good for one to be born. It is therefore one’s responsibility to find the reasons that justify one’s existence on earth and choose a career that corresponds with it. The main purpose of this article was to explore the steps for implementing purpose-based career coaching. The study was a mixed method research aiming to explore the experiences and perspectives of individuals about purpose-based career coaching. Participants included students, graduates, teachers, parents, counsellors, and lecturers. Data was generated through multiple methods, including individual interviews, focus groups, and qualitative surveys. Thematic analysis was employed to analyze the data and identify key themes. The findings of this study revealed three distinct themes: 12 steps guide for a purpose-based career coaching, the core beliefs underlying purpose-based coaching, and the objectives associated with purpose-based career coaching. With these themes in mind, practitioners can adopt a holistic approach when coaching individuals towards achieving their purpose-driven career goals. This structured approach to career coaching ensures a comprehensive and systematic exploration of the career-related challenges and opportunities that individuals may face. Throughout the article, attention is given to the integration of spirituality into the career development process. The implication of the article is that through the incorporation of spiritual principles and practices, individuals can tap into a deeper sense of purpose and direction which will in turn enable them to navigate their career journeys with clarity and confidence. In addition, the article offers helpful information and techniques to help people grow in their spiritual awareness and incorporate it into their work lives. Keywords: Career Coaching; Career Choice; Psycho-Spiritual; Purpose; Reimagining

Recycling and 3D-Printing Biodegradable Membranes for Gas Separation-toward a Membrane Circular Economy.

Polymer membranes employed in gas separation play a pivotal role in advancing environmental sustainability, energy production, and gas purification technologies. Despite their significance, the current design and manufacturing of these membranes lack cradle-to-cradle approaches, contributing to plastic waste pollution. This study explores emerging solutions, including the use of biodegradable biopolymers such as polyhydroxybutyrate (PHB) and membrane recycling, with a focus on the specific impact of mechanical recycling on the performance of biodegradable gas separation membranes. This research represents the first systematic exploration of recycling biodegradable membranes for gas separation. Demonstrating that PHB membranes can be recycled and remanufactured without solvents using hot-melt extrusion and 3D printing, the research highlights PHB's promising performance in developing more sustainable CO2 separations, despite an increase in gas permeability with successive recycling steps due to reduced polymer molecular weight. The study emphasizes the excellent thermal, chemical, and mechanical stability of PHB membranes, albeit with a marginal reduction in gas selectivity upon recycling. However, limitations in PHB's molecular weight affecting extrudability and processability restrict the recycling to three cycles. Anticipating that this study will serve as a foundational exploration, we foresee more sophisticated recycling studies for gas separation membranes, paving the way for a circular economy in future membrane technologies.

Advancing Early Warning Systems for Fire Detection: A Comprehensive Approach in Machine Learning

This research conducts a comprehensive investigation of the efficacy of various machine learning algorithms for fire detection. The algorithms that were examined include logistic regression, decision tree, random forest, support vector classifier, gradient boosting, K-nearest neighbors, Gaussian naive Bayes, multilayer perceptron classifier, and XGBoost classifier. Through in-depth experiments, this study rigorously assesses the performance of these algorithms in identifying and predicting fires based on pertinent input features. Among the algorithms that were investigated, logistic regression is the best performer, with a high accuracy rate of 99%. The findings from this research offer valuable insights for optimizing fire detection systems, providing a nuanced understanding of the practical applicability of machine learning techniques in real-time fire monitoring scenarios. The primary objectives of this study are to elucidate specific challenges in fire detection, evaluate the performance of various machine learning algorithms, and contribute to the foundational knowledge that is essential for enhancing fire management strategies. The research addresses the limited precision of existing fire detection systems and aims to rectify this issue through a systematic exploration of advanced machine learning approaches. The overarching goal is to bolster the foundations of fire management, facilitating the development of proactive measures and prompt responses to mitigate the profound impact of wildfires. By presenting a detailed examination of the strengths and weaknesses of various machine learning algorithms, this research strives to foster a robust and effective approach to fire detection, thereby advancing the field and ensuring the safety of communities at risk.

Linguistic Manipulation in Orwell’s Animal Farm: A Pragma-Stylistic Perspective

Orwell’s (1945/2013) Animal Farm is a rich source of manipulative discourses, especially as embodied in the character Squealer, who masterfully exploits the peripheral entities. Despite its critical and widespread acclaim, the systematic exploration of specific pragma-stylistic strategies that Orwell uses to depict manipulation and propaganda are understudied in the literature. Utilizing an eclectic theoretical framework incorporating Johnson’s (2000) manifest rationality theory and the deceptive principle posited by Merzah and Abbas (2020), this study performs a qualitative intra-analysis to unearth the distinct employment of a myriad of fallacies, such as scapegoating, ad nauseam, false dilemma, domino fallacy, historical negationism, and ad ignorantiam. This research aims to explore manipulative rhetoric from the viewpoint of pragma-stylistics. The significance of this research lies in its potential to deepen our understanding of rhetorical strategies in allegorical literature, offering insights into how language can be used to manipulate and influence. This study addresses the central question: How do specific pragma-stylistic strategies enable characters in Animal Farm to manipulate and propagate fallacies, and what implications does this have for understanding similar manipulative techniques in political discourse? The findings suggest a contrast between Squealer’s and Napoleon’s manipulative strategies: Napoleon, akin to the uncharismatic communication style of Stalin, leverages scapegoating to undermine his adversaries, while Squealer, Napoleon’s rhetorical extension, focuses on distorting historical events, exaggerating consequences, and perpetuating falsehoods

Multicultural education and global citizenship: Literature review

The aim of this study is to conduct a systematic exploration of the literature, delving into the realm of multicultural education and global citizenship. It seeks to comprehensively understand these concepts by tracing the origins and evolution of multicultural education, drawing connections to its inception during the Civil Rights Movement, and spotlighting the contributions of influential scholars in this field. The concept of global citizenship is also examined, emphasizing its relevance in an interconnected world and its alignment with the United Nations' development goals. The manuscript identifies the significance of studying multicultural education and global citizenship, including its role in promoting social cohesion, preparing students for an interconnected world, and fostering responsible citizenship. Intersectionality means promoting a more inclusive and nuanced understanding of social issues and advocating for more comprehensive approaches to equity and justice. This review has the potential to contribute to the understanding and implementation of effective multicultural education and global citizenship programs. Overall, this review of the literature aims to address literature gaps and challenges in the field and provide valuable information for educators, policymakers, and stakeholders involved in multicultural education and global citizenship.