Theoretical Foundation Research Articles

Structural Characterization and Anti-inflammatory Activities of a Purified Polysaccharide from Veronica persica Poir.

In this manuscript, the polysaccharide (VPP-I) from Veronica persica Poir., was characterized in detail by high performance gel permeation chromatography (HPGPC), high performance liquid chromatography (HPLC), Fourier transform infrared spectroscopy (FT-IR) and nuclear magnetic resonance spectroscopy (NMR). In addition, lipopolysaccharide (LPS) induced inflammation model of RAW264.7 cells was used to evaluate the in vitro anti-inflammatory activity of VPP-I. The results showed that the relative molecular weight of VPP-I was 2.355 KDa, which was mainly composed of mannose (Man), glucose (Glc) and galactose (Gal) in a ratio of 1 : 32.46 : 28.76. Moreover, the VPP-I contained sugar alcohol derivatives of T-DGlcp(1→, →4)-D-Galp(1→, →3,6)-D-Manp(1→, →4)-D-Glcp(1→, →6)-D-Galp(1→ and →6)-D-Glcp(1→. In vitro anti-inflammatory results showed that VPP-I could inhibit the secretion of IL-β, IL-6 and TNF-α in RAW264.7 cells induced by LPS. Moreover, compared to the LPS group, the mRNA expression levels of iNOS, COX-2, IL-β, IL-6 and TNF-α produced by RAW264.7 were significantly decreased after treatment with VPP-I (P<0.05). In addition, VPP-I could increase the SOD and GSH-Px enzymes activity and decrease the content of MDA in LPS-induced RAW264.7 cells (P<0.05). In summary, this paper laid theoretical foundation for the application of Veronica persica Poir. in the field of medicine.

FTO in oral diseases: Functions, mechanisms, and therapeutic potential.

Fat mass and obesity-associated protein (FTO) is the first identified N6-methyladenosine (m6A) demethylase widely distributed in various tissues in adults and children. It plays an essential role in diverse mRNA-associated processes including transcriptional stability, selective splicing, mRNA translocation, and also protein translation. Recently, emerging studies have shown that FTO is involved in the genesis and development of oral diseases. However, the correlation between FTO and oral diseases and its specific regulatory mechanism still needs further study. In this review, we will summarize the discovery, distribution, gene expression, protein structure, biological functions, inhibitors, and quantifying methods of FTO, as well as its regulatory role and mechanism in oral diseases. Notably, FTO genetic variants are strongly associated with periodontal diseases (PDs), temporomandibular joint osteoarthritis (TMJOA), and obstructive sleep apnea (OSA). Besides, the latest studies that describe the relationship between FTO and PDs, head and neck squamous cell carcinoma (HNSCCs), TMJOA, and OSA will be discussed. We elaborate on the regulatory roles of FTO in PDs, HNSCCs, and TMJOA, which are modulated through cell proliferation, cell migration, apoptosis, bone metabolism, and immune response. The review will enrich our understanding of RNA epigenetic modifications in oral diseases and present a solid theoretical foundation for FTO to serve as a novel diagnosis and prognostic biomarker for oral diseases.

Adsorption behavior and quantum chemical analysis of surface functionalized polystyrene nano-plastics on gatifloxacin.

In this paper, the adsorption of gatifloxacin (GAT) by three types of polystyrene nano-plastics (PSNPs), including 400 nm polystyrene (PS), amino-modified PS (PS-NH2), and carboxyl-modified PS (PS-COOH) was studied and the adsorption mechanism were assessed. Experimental findings revealed that the equilibrium adsorption capacity of PSNPs to GAT followed the order PS-NH2 > PS-COOH > PS. The adsorption was regulated by both physical and chemical mechanisms, with intra-particle and external diffusion jointly controlling the adsorption rate. The adsorption process was heterogeneous, spontaneous, and entropy-driven. Sodium chloride (NaCl), alginic acid, copper ions (Cu2+), and zinc ions (Zn2+) inhibited adsorption, with Cu2+ and Zn2+ having the strongest effect on PS-NH2. Theoretical computations indicated that π-π and electrostatic interactions dominated PS adsorption of GAT, while PS-COOH and PS-NH2 adsorbed GAT through electrostatic interactions, hydrogen bonds, and van der Waals (vdW) forces. The surface electrostatic potential of PS-COOH and PS-NH2 was considerably higher than that of PS, with the maximum vdW penetration distance of GAT-PS-NH2 being 1.20 Å. This study's findings provide a theoretical foundation for the migration and synergistic removal of antibiotics, micro-plastics (MPs), and nano-plastics (NPs).

PROTEÇÃO DIGITAL: A (IN)EFICÁCIA DA LEGISLAÇÃO BRASILEIRA NO COMBATE AO CRIME DE ESTELIONATO VIRTUAL

With technological advances in the globalized world, the practice of cybercrimes has intensified, among which the so-called virtual fraud stands out, the topic of which will be discussed in this article. Given this context, the present problem arises: to analyze what are the challenges and strategies to combat the crime of virtual fraud and what are its effects on the legal world to protect users on the internet? Thus, this article aims to understand the relevance of the discussion on cyber fraud, with regard to its effectiveness in Brazilian legislation in the virtual environment. The general objective will be to analyze the new classification brought by Law No. 14,155, of 2021, which inserted the crime of electronic fraud, within which the crime of cyber fraud fits. The specific objectives focus on the analysis of the differences between the crimes of fraud and virtual fraud (cyber fraud). Regarding the methodology, using the deductive and descriptive method, based on theoretical foundations found in bibliographic research, such as public documents, books, scientific articles and internet data. The research results indicated that current laws are not sufficient to address and curb the problem of cyber fraud.

Characterization of the regulatory network and pathways in duodenum affecting chicken abdominal fat deposition

The excessive accumulation of abdominal fat in chickens has resulted in a reduction in both the feed conversion efficiency and the slaughter yield. To elucidate the regulatory mechanisms and metabolic pathways affecting abdominal fat deposition in the context of broiler breeding, a cohort of 400 Qingyuan partridge chickens with varying abdominal fat deposition was established. Whole transcriptome sequencing analyses were conducted on the duodenum of 20 representative chickens to ascertain the regulatory networks at this vital digestive and absorptive organ. Consequently, 116 differentially expressed genes were identified, exhibiting a trend of increasing or decreasing expression in correlation with the accumulation of abdominal fat. A total of 36 DEmRNAs, 170 DElncRNAs, 92 DEcircRNAs and 88 DEmiRNAs were identified as differentially expressed between chickens with extremely high and low abdominal fat deposition. The functional enrichment analyses demonstrated that the differentially expressed RNA in the duodenum were involved in the regulation of chicken abdominal fat deposition by mediating a series of metabolic pathways, including the Wnt signaling pathway, the PPAR signaling pathway, the Hippo signaling pathway, the FoxO signaling pathway, the MAPK signaling pathway and other signaling pathways that are involved in fatty acid metabolism and degradation. The construction of putative interaction pairs led to the suggestion of two lncRNA-miRNA-mRNA ceRNA networks comprising two mRNAs, two miRNAs, and 29 lncRNAs, as well as two circRNA-lncRNA-miRNA-mRNA ceRNA networks comprising 26 mRNAs, 12 miRNAs, 17 lncRNAs, and nine circRNAs, as core regulatory networks in the duodenum affecting chicken abdominal fat deposition. The aforementioned genes including TMEM150C, REXO1, PIK3C2G, ppp1cb, PARP12, SERPINE2, LRAT, CYP1A1, INSR and APOA4, were proposed as candidate genes, while the miRNAs, including miR-107-y, miR-22-y, miR-25-y, miR-2404-x and miR-16-x, as well as lncRNAs such as ENSGALT00000100291, TCONS_00063508, TCONS_00061201 and TCONS_00079402 were the candidate regulators associated with chicken abdominal fat deposition. The findings of this study provide a theoretical foundation for the molecular mechanisms of mRNAs and non-coding RNAs in duodenal tissues on abdominal fat deposition in chickens.

Study on the Parameters of Collaborative Fire Prevention by Plugging Air Leakage with Isolation Wall and Injecting Nitrogen in the Goaf of Re-Mining Working Face

ABSTRACT This study focuses on preventing coal spontaneous combustion in re-mining working face, using Yunhe Coal Mine as a case study. The investigation of spontaneous combustion characteristics in both new and re-mined coal samples revealed that the re-mined coal exhibits a higher oxygen consumption rate and greater heat release intensity compared to new mining coal. Through field observations and numerical simulations, the distribution range of oxidation zones in goaf within different zones of the re-mining working face was determined. Based on these findings, a collaborative fire prevention measure is proposed, involving plugging air leakage with isolation wall and injecting nitrogen into the goaf. The implementation of these fire prevention measures results in a reduction in the size of the oxidation zone, an increase in the size of the asphyxiation zone, and a decrease in the maximum temperature. To further enhance fire prevention efforts, it is recommended that distinct cooperative fire prevention parameters be established for both new mining zones and re-mining zones. These research findings provide a theoretical foundation for more efficient fire prevention measures in re-mining working face.

Optimizing Irrigation and Nitrogen Application to Enhance Millet Yield, Improve Water and Nitrogen Use Efficiency and Reduce Inorganic Nitrogen Accumulation in Northeast China

Enhancing irrigation and nitrogen fertilizer application has become a vital strategy for ensuring food security in the face of population growth and resource scarcity. A 2-year experiment was conducted to determine to investigate the effects of different irrigation lower limits and nitrogen fertilizer application amounts on millet growth, yield, water use efficiency (WUE), N utilization, and inorganic nitrogen accumulation in the soil in 2021 and 2022. The experiment was designed with four irrigation lower limits, corresponding to 50%, 60%, 70%, and 80% of the field capacity (FC), referred to as I50, I60, I70, and I80. Four nitrogen fertilizer application were also included: 0, 50, 100, and 150 kg·hm−2 (designated as F00, F50, F100, and F150), resulting in a total of 16 treatments. Binary quadratic regression equations were established to optimize the irrigation and nitrogen application. The results demonstrated that the plant height, stem diameter, leaf area index, aboveground biomass, yield, spike diameter, spike length, spike weight, WUE, and nitrogen agronomic efficiency for millet initially increased before subsequently decreasing as the irrigation lower limit and nitrogen fertilizer application increased. Their maximum values were observed in the I70F100. However, the nitrogen partial factor productivity (PFPN) exhibited a gradual decline with increasing nitrogen application, reaching its peak at F50. Additionally, PFPN displayed a pattern of initial increase followed by a decrease with rising irrigation lower limits. The accumulation of NO3−-N and NH4+-N in the 0~60 cm soil layer increased with the increase of nitrogen fertilizer application in both years, while they tended to decrease as the irrigation lower limit increased. An optimal irrigation lower limit of 64% FC to 74% FC and nitrogen fertilizer application of 80 to 100 kg ha−1 was recommended for millet based on the regression equation. The findings of this study offer a theoretical foundation and technical guidance for developing a drip irrigation and fertilizer application for millet cultivation in Northeast China.

유·초 이음교육의 새로운 방향성 탐색

The purpose of this study is to suggest a new direction for preschool-elementary transition education. Recently, there has been growing interest in preschool-elementary transition education, as the 2019 revised Nuri Curriculum and the 2022 revised Elementary Education Curriculum emphasize connectivity between educational institutions, and the number of pilot kindergartens implementing transition semesters is gradually increasing nationwide. In this context, this study analyzed the limitations of current transition education and explored ways to improve it. As a result of the study, it was confirmed that the target of preschool and elementary education should be expanded from 5 years old to all ages, and that the focus should be on improving the current quality of life of young children rather than preparing for elementary school. In addition, it was suggested that young children should be recognized as agents of action and that coexistence should be pursued while respecting the differences between early childhood education and elementary education. To this end, it is necessary to strengthen cooperative relationships in the educational community, and find ways to connect education that can be implemented at the level of early childhood education institutions even under realistic constraints. This study is significant in that it provides a theoretical foundation for a comprehensive and continuous child-centered approach to transition education and presents practical measures for implementation.

수정된 IPA를 활용한 외식 브랜드 선택속성에 관한 연구 : A 외식 프랜차이즈 기업을 대상으로

Objective : The study selected a restaurant company to find out its selection attributes and figure out what attributes consumers consider important when using each brand and how they evaluate each attribute. Methods : This study conducted an empirical analysis targeting a total of 221 consumers who have experience with three brands of restaurant franchise company A located in Seoul and the metropolitan areas. Results : According to the importance and satisfaction analysis, it was found that the taste of the food was the most important for Korean and Chinese food brands, and the shape of the food was the most important for pub brands. Implications : This study aims to lay the theoretical foundation necessary to establish operational strategies for each element according to brand characteristics.

Grundlagen einer 'integralen' Grammatik

Within the framework of an integral grammar, syntax, morphology and lexicology represent three types of consideration of the same reality, which is the linguistic construction of meaning. The distinction between these three linguistic disciplines may be useful in some cases, but in other cases it may hinder the explanation of linguistic phenomena. Integral linguistics is capable of unifying the disciplines - integrating them. It can, however, use modular methods where appropriate. It could therefore be seen as a kind of construction grammar with the option of modularising its descriptions and explanations. This is not to say that this approach advocates methodical indifference; on the contrary, it presupposes a particularly rigorous deduction of its concepts and descriptive methods. The foundations for such a grammar have already been laid in Saussure's Cours de linguistique générale, which – with striking foresight – anticipates the ideas of nowadays' construction grammars and provides them with a hitherto unprecedented theoretical foundation. This is the starting point for the present article, which places Saussure's reflections within the framework of a theory of language centred on the speech event. It defines the functional levels of the sentence on the ground of the dimensions of utterance meaning, deduces the notions of syntactic function and syntactic constituency from the synthetic and analytical mechanisms of the syntagmatic dimension of language, and those of form and category from the abstraction principles of the paradigmatic dimension of language. Finally, it will be shown how the basic ideas of constructional grammars, in particular that of the syntax lexicon continuum, can be convincingly and exhaustively explained by the universal principles of grammar postulated by Saussure: the syntagmatic and paradigmatic structuration of language.

Deep Learning for Solving Partial Differential Equations: A Review of Literature

Partial Differential Equations (PDEs) are fundamental in modeling various phenomena in physics, engineering, and finance. Traditional numerical methods for solving PDEs, such as finite element and finite difference methods, often face limitations when applied to high-dimensional and complex systems. In recent years, deep learning has emerged as a promising alternative for approximating solutions to PDEs, offering potential improvements in both efficiency and scalability. This paper provides a comprehensive review of the literature on deep learning-based methods for solving PDEs, focusing on key approaches such as Physics-Informed Neural Networks (PINNs), deep Galerkin methods, and neural operators. These methods leverage the expressiveness of neural networks to capture underlying physics while avoiding the curse of dimensionality associated with classical techniques. We explore the theoretical foundations, advantages, and limitations of these deep learning models, along with their applications in diverse fields like fluid dynamics, quantum mechanics, and financial modeling. Additionally, this review examines recent advancements in hybrid models that combine traditional numerical methods with deep learning approaches to enhance accuracy and stability. Through this review, we highlight key trends and open challenges in the field, paving the way for future research at the intersection of deep learning and computational mathematics.

Pore Engineering in Biomass-Derived Carbon Materials for Enhanced Energy, Catalysis, and Environmental Applications

Biomass-derived carbon materials (BDCs) are highly regarded for their renewability, environmental friendliness, and broad potential for application. A significant advantage of these materials lies in the high degree of customization of their physical and chemical properties, especially in terms of pore structure. Pore engineering is a key strategy to enhance the performance of BDCs in critical areas, such as energy storage, catalysis, and environmental remediation. This review focuses on pore engineering, exploring the definition, classification, and adjustment techniques of pore structures, as well as how these factors affect the application performance of BDCs in energy, catalysis, and environmental remediation. Our aim is to provide a solid theoretical foundation and practical guidance for the pore engineering of BDCs to facilitate the rapid transition of these materials from the laboratory to industrial applications.

Improved GA-LNS Algorithm for Solving Vehicle Path Problems Considering Carbon Emissions

Logistics, as a significant field for achieving energy-saving and carbon reduction goals, is recognized as a crucial direction for realizing the global “double carbon” objective, while vehicle path optimization is an effective method for promoting energy efficiency and reducing carbon emissions. In this paper, an improved genetic algorithm is proposed for optimizing logistics and distribution paths concerning the carbon emissions of fuel vehicles throughout the logistics and distribution process, and a low-carbon logistics and distribution path model is constructed based on time windows, vehicle loading, and carbon emissions. The INNC method is adopted to initialize the population, and an enhanced genetic algorithm (GA-LNS) is designed to solve the model in conjunction with a large-scale neighborhood vector search algorithm. The results indicate that the initialization of the population using the INNC method produces a higher-quality initial solution. Compared to traditional genetic algorithms and particle swarm optimization, the GA-LNS algorithm exhibits superior robustness, effectively addressing the limitations of traditional genetic algorithms that rely on initial solutions and are prone to local optima. By comparing the computational results of the low-carbon logistics distribution path model constructed in this study with those of traditional optimization objective models, it is demonstrated that this model effectively balances the trade-offs between objectives and benefits, achieving the lowest total logistics distribution cost while promoting sustainable low-carbon logistics. The research findings provide a theoretical foundation for optimizing logistics vehicle paths and formulating energy-saving and carbon reduction implementation plans in China.

A SUBSTITUIÇÃO DA PRISÃO PREVENTIVA POR PRISÃO DOMICILIAR DA MULHER GESTANTE: UMA ANÁLISE DOS JULGADOS DO STJ NO PERÍODO ENTRE 2022-2023

The subject of this article will be to discuss art. 318-A, added to the Code of Criminal Procedure as amended by Law 13,769/18, which establishes that preventive detention imposed on pregnant women or women who are mothers or guardians of children or people with disabilities will be replaced by house arrest. Thus, the aim is to analyze the replacement of preventive detention by house arrest. To this end, the problem will be to analyze whether the judging body can replace preventive detention by house arrest whenever the agent preventively arrested is pregnant. The general objective of this article will be to analyze the Rulings of the STJ that judged the requests to replace prison with house arrest of pregnant women, in the period 2022-2023, identifying whether the replacement of preventive detention by house arrest is carried out in all cases provided for in the Code of Criminal Procedure. As for the specific objectives, they focus on verifying whether the mere fact that the agent is pregnant already expresses the granting of house arrest, in the cases provided for in the CPP. Regarding the methodology, basic research will be used, with a bibliographic review, with a descriptive approach, using the deductive and qualitative method, based on theoretical foundations found in digital books, periodicals, theses and jurisprudential examination of STJ and STF judgments.

Combined administration of catalpol, puerarin, gastrodin, and borneol modulates the Tlr4/Myd88/NF-κB signaling pathway and alleviates microglia inflammation in Alzheimer’s disease

Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder affecting millions of people worldwide, with no effective treatment currently available. In recent decades, various traditional Chinese medicines (TCMs) and their active ingredients have shown the potential to attenuate the pathogenesis of AD in cellular and animal models. However, the effects of TCM formulas, which are typically administered in practice, have been less studied. This study aims to investigate the therapeutic effects of several formulas consisting of 4 components herbal components: catalpol, puerarin, gastrodin, and borneol, on streptozotocin (STZ)-induced AD models in cells and rats. The new object recognition (NOR), elevated plus maze (EMP), and Morris water maze (MWM) tests were used to evaluate the cognitive functions of rats. Golgi staining, Haematoxylin and Eosin (HE) staining, and Nissl staining analyses were employed assess the physiology of hippocampal tissues. Gene expression profiles were analyzed used transcriptomics and reverse transcription quantitative polymerase chain reaction analysis, while protein expression levels were determined using immunoblotting, immunohistochemical, and immunofluorescence. The production of cytokines was evaluated with enzyme-linked immunosorbent assay. The results demonstrated that the combined administration of these 4 components (CPGB) had superior mitigating effects on AD cell model, as evidenced by the reduced pro-inflammatory cytokine production and decreased deposition of Aβ protein. Further in vivo and in vitro experiments confirmed that varying doses of CPGB formula effectively ameliorated STZ-induced cognitive deficits, as shown by NOR, MWM, and EMP tests, as well as pathological changes in hippocampal tissues and a 3-dimensional brain neurovascular unit (3D-NVU) model, including decreased deposition of Aβ protein and formation of plaques. Transcriptome sequencing and analysis identified 35 genes with significantly altered expression levels due to STZ and CPGB treatment in hippocampal tissues, which were enriched in the Tlr4/Myd88/NF-κB signaling pathway. Interference with this pathway significantly influenced the therapeutic effects of CPGB in the 3D-NVU model. Collectively, these findings suggest that the combined administration of catalpol, puerarin, gastrodin, and borneol offers superior therapeutic effects on AD by modulating the Tlr4/Myd88/NF-κB signaling pathway. This study strengthens the theoretical foundation for using TCMs to treat AD, proving new insights and references for alleviating and treating AD.

Translation of a Bipolar Fuzzy Set in Hilbert Algebras

This study explores the application of bipolar fuzzy set theory within Hilbert algebras, introducing and examining the concept of bipolar fuzzy (β, α)-translations of a bipolar fuzzy set φ =(φ+, φ−) in two distinct forms: Type I and Type II. Fundamental properties of these bipolar fuzzy translations are investigated in depth, alongside the introduction of bipolar fuzzy extensions andintensities, broadening the utility and flexibility of bipolar fuzzy sets in capturing nuanced bipolar information. Moreover, this work addresses the intricate relationships between the complement of a bipolar fuzzy subalgebra, bipolar fuzzy ideal, and bipolar fuzzy deductive system with respect to their level cuts. The findings significantly contribute to the broader theoretical foundation and potential applications of bipolar fuzzy logic in Hilbert algebras, offering valuable insights for managing complex bipolar information in uncertain environments.

Theoretical Foundations and Ethical Considerations in Quantum Law

This article explores the emerging field of quantum law, examining its theoretical foundations and the ethical considerations that arise from the intersection of quantum mechanics and legal theory. As quantum technologies advance, legal systems face unprecedented challenges in adapting to a reality where traditional concepts of causality, locality, and determinism are called into question. This research synthesizes insights from quantum physics, legal philosophy, and ethics to construct a framework for understanding and addressing the implications of quantum phenomena in legal contexts. Through a comprehensive review of existing literature and theoretical analysis, we identify key areas of impact, including privacy, intellectual property, and criminal justice. The study concludes by proposing guidelines for the development of quantum-aware legal systems and highlighting the need for interdisciplinary collaboration in shaping the future of quantum law.

Theoretical foundations and practical implementation of supply chain optimization a metal fabrication business model

In the dynamic landscape of modern business, effective management of supply chains stands as a cornerstone of organizational success and competitive edge. This study investigates the theoretical principles and practical implementations of optimization models aimed at refining supply chain operations in the metal fabrication business, giving the maximum profit. It begins with a comprehensive survey of optimization theory, encompassing linear programming, integer programming, and stochastic optimization. It proceeds to their application in addressing diverse challenges encountered in supply chain management. The discussion includes deterministic models, such as those optimizing facility location under capacity constraints and transportation logistics, alongside stochastic models designed to manage uncertainties inherent in demand forecasting and inventory control. Advanced methodologies like metaheuristic algorithms and multi-objective optimization techniques are examined for their capacity to navigate the intricate and often conflicting objectives within supply chain networks. Through comprehensive theoretical analysis and a study of the supply chain model developed for the metal fabrication business, this paper contributes to advancing knowledge in mechanical engineering and supply chain management, offering insights pertinent to practitioners and researchers alike. Ultimately, it emphasizes the critical role of optimization models in optimizing efficiency, reducing costs, improving profit margin, reducing CO2 emission, and enhancing competitiveness in modern supply chain operations.

Theoretical and Methodological Foundations of Uncertainty Modeling in Real Estate Markets

Motivation: The need to improve the accuracy and reliability of market valuation and risk assessment in real estate markets, especially under conditions of uncertainty.Aim: To integrate theoretical foundations and methodological approaches for modeling aleatoric and epistemic uncertainties in real estate markets using credal networks and confidence boxes (c-boxes).Approach: This paper presents a comprehensive theoretical and methodological framework for uncertainty modeling in real estate markets, focusing on the application of credal networks and confidence boxes. It does not include empirical validation or practical case studies, instead providing a detailed conceptual and methodological discussion.Results: The proposed method demonstrates significant improvements in uncertainty quantification and market analysis accuracy in theoretical terms, offering valuable insights for investors, urban planners, and policymakers. However, empirical validation is suggested for future research to confirm practical applicability.

Strategic Imperatives of Muslim Leadership in Post-War Sri Lanka: Citizenship, Rights and Reconciliation

This study examines how a few selected mainstream Sri Lankan Muslim civil organisations have been responding to the Sinhala Buddhist ideological paradigm in post-war Sri Lanka. The ideology perceives that Sinhala Buddhists are true citizens of Sri Lanka while minorities are “others” or “guests”. Hence, the ideology plays a structural role in generating anti-Muslim sentiments in post-war Sri Lanka. Contrary to prevailing wisdom which argues that minorities attempt to deconstruct the majoritarian ideological foundation in their struggle for equality, dominant and mainstream Muslim civil society organisations in Sri Lanka have chosen to reconcile with it while resisting only its practical implications upon the community. Even though this strategy brings self-contradictory elements into play on theoretical grounds, Muslim civil society organisations think that it is a practically reasonable strategy given the developing socio-political context of the state. Based on primary and secondary data and the thematic qualitative analysis, this study builds an argument by analysing discourses of the selected mainstream Muslim organisations that minorities pick strategies for their struggle against majoritarian state and ideology taking their political and other demographical realities into account. Hence, their choices are not static but rather dynamic.