Paper Title

THE AVIATION INDUSTRY: A GUIDE TO ITS ECONOMICS AND OPERATIONS

Abstract

Exploring the intricate relationship between law, economics, and global politics, this book examines the regulatory environment of the aviation industry. Tracing the historical development of aviation law, the book has a particular focus on how economic polycentrism and the liberal international economic order have influenced the sector's regulatory framework. It discusses the aviation industry's responses to unforeseen global events, such as the COVID-19 pandemic and geopolitical conflicts, providing a detailed analysis of the legal mechanisms that ensure industry stability and resilience. Key topics include the role of arbitration in resolving disputes, the impact of international regulations, and the critical contributions of both public and private actors in shaping aviation law. Additionally, the book explores the challenges posed by new and emerging technologies, such as the increasing automation in aviation systems and the legal considerations surrounding cybersecurity in aviation operations.
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Paper Title

A COMPLETE GUIDE ON COMMERCIAL AVIATION SAFETY

Abstract

This paper reviews the economic literature relating to aviation safety; analyzes the safety record of commercial passenger aviation in the United States and abroad; examines aviation security as a growing dimension of aviation safety; and identifies emerging issues in airline safety and challenges for aviation safety research. The finding that developing countries have much poorer safety records has been a persistent conclusion in aviation safety research and continues to be the case. Unfortunately, operations data are not available for many of the airlines that experience fatal accidents, so it is not possible to calculate reliable fatality rates for many segments of the worldwide aviation industry.
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Paper Title

DEVELOPMENT OF SELF-COMPACTING CONCRETE MIX DESIGN: IMPLEMENTING BAILEY AGGREGATE GRADATION TECHNIQUES

Abstract

To achieve the desired fluidity, resistance to segregation and sufficient strength in self-compacting concrete (SCC), it is crucial to choose and optimize the aggregate gradation. The Bailey aggregate gradation process, initially designed for hot mix asphalt, provides a systematic way to mixing aggregates for use in concrete mix designs. Bailey gradation was compared to more traditional methods in a series of experimental studies using varying aggregate quantities. Slump flow, compressive strength, segregation resistance, and L-box passage ratio were the key features that were examined. The results demonstrate that by controlling the particle distribution more precisely, the work ability and mechanical qualities of the SCC are improved when Bailey aggregate gradation is used. This method improves SCC\'s overall efficiency by refining the mix design, making it more suited for use in complicated and packed form work environments. Work ability, void content, and balanced particle packing density are all enhanced when SCC mix designs are optimized using the Bailey approach. With the use of the Bailey approach, this research aims to determine the optimal ratio of coarse to fine aggregates so that SCC may achieve its desired properties, such as good flow-ability, passing ability, and segregation resistance, all without sacrificing compressive strength.
KEYWORDS : self-compacting concrete (SCC), mixing aggregates, compressive strength, segregation resistance, mix designs, Bailey approach.

Paper Title

INVESTIGATING THE IMPACT OF CEMENT CONTENT ON THE GEOTECHNICAL PROPERTIES OF CLAY-BASED MIXTURES

Abstract

Soft clay deposits are highly plastic, normally consolidated fine grained soils characterized by their low inherent shear strength. The mixing of soft clays with cement as a chemical stabilizer has become a well-known stabilization technique. The resulting strength of the clay–cement mix is controlled by different factors, but mainly the water to cement ratio, the cement content, and the curing conditions. It is crucial to develop a clear under-standing of the changes in engineering behaviour of the clay–cement mix that result from changes in controlling factors. A phase diagram was established to define the initial conditions of the mass–volume relationships of air, cement, clay, and water of a typical clay–cement mix. This phase diagram was then used to determine the total dry density, void ratio, and specific gravity of the clay–cement mix as a function of the cement content and water to cement ratio. The main objective of this work was to develop generalized trends for the geotechnical properties of clay–cement mixes. These trends were evaluated based on unconfined compressive strength as well as consistency tests carried out on soft clay samples before and after mixing with cement and at different curing times. The reduction in the PI of the clay–cement mix was found to be an efficient tool to represent the improvement in the strength of the clay after mixing with cement
KEYWORDS : Soft clay, Clay cement mix, Curing time, Unconfined compressive strength, Soil stabilization

Paper Title

A SYSTEMATIC APPROACH ON MATHEMATICAL MODELS AND TECHNIQUES

Abstract

The probabilistic transition rates depend on motivation potentials governing the decisions and actions of the social agents. This schedule must be created in order to meet the university\'s requirements. A schedule is able to be defined as the assignment of certain people to particular intervals of time in order to accomplish a number of goals. The transition from the probability distribution to quasi-mean values leads to in general nonlinear coupled differential equations for the macro variables of the chosen social sector. The problems that can be caused by having too many soft limitations in a timetable should be minimized as much as possible by a university\'s course schedule. The approach applies to problems where (optimal) decisions should be found that lead to maximized benefit or yield, and/or minimized loss or disadvantage. The curriculum for the forthcoming semester is something that the teaching staff and administrative staff at a variety of educational institutions spend a significant amount of time planning each year. The activities that must be accomplished for the faculty course assignment, for instance, are laid out as linear programmers. Linear programming, which entails the creation of mathematical models or algorithms, can be used to solve the problem of the faculty course assignment. The approach is characterized in that all occurring relations are regarded as functional relationships; the model is developed in the form of a non-cyclic, directed graph of variables where the edges represent functional dependency.
KEYWORDS : Mathematical models, non-cyclic, timetable, linear programmers, faculty course assignment, probabilistic transition.

Paper Title

A STUDY OF CHIRAL ENVIRONMENT INFLUENCE IN ORGANOCATALYTIC REACTIONS FOR ENHANCED EFFICIENCY

Abstract

In organic chemistry, chirality is crucial, especially when creating physiologically active compounds with enantiomers that have different effects. This work investigates the in situ synthesis of chiral oxazaborolidine catalysts using methyl iodide, tetrabutylammonium borohydride, and (1S,2R)-(-)-cis-1-amino-2-indanol. The asymmetric reduction of prochiral ketones to enantiopure alcohols, a crucial conversion in the chemical and pharmaceutical sectors, was carried out using these catalysts. The results showed that because of the increased electrophilicity of the carbonyl carbon, which facilitates efficient transition states, electron-withdrawing substituents on acetophenone derivatives greatly improved enantioselectivity (up to 96% ee). Under moderate circumstances, the improved system produced good yields, demonstrating its usefulness and effectiveness. This research positions organocatalysis as a sustainable substitute for metal-based systems by highlighting its benefits, which include low toxicity, stability, and environmental friendliness. These results highlight the promise of organocatalysis for scalable, effective, and selective asymmetric synthesis in industrial settings.
KEYWORDS : Organocatalysis, Chirality, Enantiomeric Excess, Chiral Oxazaborolidine, Prochiral Ketones, Asymmetric Reduction

Paper Title

A STUDY ON THE BEHAVIOR AND PROPERTIES OF NONCONVEX FUNCTIONS WITH GENERALIZED CONVEXITY

Abstract

Because of their capacity to represent intricate real-world systems, non-convex functions with generalized convexity have drawn a lot of interest in mathematical optimization and economics. The behavior and characteristics of non-convex functions are examined in this study, with an emphasis on how generalized convexity affects optimization issues. By reviewing secondary material, such as academic publications, mathematical textbooks, and empirical research, the project seeks to fill in knowledge gaps and advance current understanding. The main conclusions, which were obtained only from secondary sources, indicate that generalized convexity is an extension of standard convex analysis and provides instruments for resolving a wider range of optimization problems, particularly those with unconventional constraints.
KEYWORDS : Keywords: Non-convex functions, Generalized convexity, Mathematical optimization, Optimization problems, Secondary data, Convex analysis.

Paper Title

A HYBRID COGNITIVE–SNORT ARCHITECTURE FOR ALLEVIATING COMPUTATIONAL OVERHEAD IN NETWORK INTRUSION DETECTION SYSTEMS

Abstract

This study introduces an enhanced hybrid intelligent intrusion detection architecture that integrates Snort—a widely deployed signature-driven IDS—with machine learning (ML) and deep learning (DL) paradigms to alleviate network processing overhead and strengthen real-time threat-classification accuracy. The proposed dual-layer design leverages Snort’s deterministic rule-matching capabilities alongside the adaptive behavioural learning strengths of Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP). By refining Snort-generated alerts and extracting salient traffic attributes, the system suppresses redundant evaluations and substantially reduces false alarm occurrences. Empirical evaluation reveals a 32% decrease in computational burden and a 6.5% improvement in detection precision when compared with a standalone Snort configuration.
KEYWORDS : Snort, Hybrid Intelligent Framework, Network Load Reduction, Intrusion Detection, Machine Learning, CNN, Real-Time Cybersecurity.