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COOPERATIVE FEDERALISM IN A MULTINATIONAL COUNTRY: Examining the Case of Pakistan
Pakistan, as a multilingual and multiethnic country, has had to deal with issues of ethnic conflict and separatism. Cooperative federalism is used as a device by countries across the world to accommodate and manage the immense diversities they possess. This chapter examines the need for cooperative federalism in a multinational country like Pakistan to strengthen its federal model, ensuring that ethnic groups in the country do not feel insecure and alienated from the union, demanding secession. Beyond national security concerns, cooperative federalism in Pakistan will ensure economic security, human rights, social security, effective policymaking and much more, which form the basis of a welfare state. 2024 selection and editorial matter, M.J. Vinod, Stefy V Joseph, Joseph Chacko Chennatuserry and Dimitris N. Chryssochoou; individual chapters, the contributors. -
India as a climate leader in the indo-pacific: challenges and opportunities
The non-traditional security threats in the form of incessant floods, cyclones, and all-time rising sea levels in the Indo-Pacific region call for an integrated and constructive response led by a climate leader. Climate change is seen way beyond the lens of a mere environmental catastrophe having the potential to destabilize a nations economy and polity. The global state and non-state actors have acknowledged climate change to be an alarming global security threat. However, the failure of collective management of the climate crisis has mandated a responsible climate leader to monitor the mitigation efforts. In the context of initiatives like the National Solar Mission that envisages India to be a global leader in solar energy, the paper intends to weigh the possibilities for Indias role as a cogent climate leader in the Indo-Pacific region. It seeks to evaluate Indias climate leadership based on its green policies and assistance to Indo-Pacific countries. 2024 Indian Ocean Research Group. -
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Supreme court dialogue classification using machine learning models
Legal classification models help lawyers identify the relevant documents required for a study. In this study, the focus is on sentence level classification. To be more precise, the work undertaken focuses on a conversation in the supreme court between the justice and other correspondents. In the study, both the nae Bayes classifier and logistic regression are used to classify conversations at the sentence level. The performance is measured with the help of the area under the curve score. The study found that the model that was trained on a specific case yielded better results than a model that was trained on a larger number of conversations. Case specificity is found to be more crucial in gaining better results from the classifier. 2023 Institute of Advanced Engineering and Science. All rights reserved. -
Analysis of Multinomial Classification for Legal Document Categorization
A major area of research today is the application of Machine Learning Techniques for Document or Text Classification. Document Classification is an important aspect of Electronic Discovery in the Legal domain. The need for the process to be automated has been realized over the past few years. Multinomial Classification is a well-known Supervised Machine Learning Technique that helps us classify if there are more than two classes used for the purpose of Classification. Evaluation metrics such as Precision, Recall, and F1 Score have been used to measure the efficiency of Classification. Logistic Regression and Gradient Boosting Algorithms have outperformed other Multiclass Classification techniques. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Detection of Various Security Threats in IoT and Cloud Computing using Machine Learning
Due to the growth of internet technology, there is a sharp rise in the growth of IoT enabled devices. IoT (Internet of Things) refers to the connection of various embedded devices with limited processing and memory. With the heavy adoption of IoT applications, cloud computing is gaining traction with the ever-increasing demand to process and compute a massive amount of data coming from various devices. Hence, cloud computing and IoT are often related to each other. However, there are two challenges in deploying the IoT and cloud computing frameworks: security and Privacy. This article discusses various types of security threats affecting IoT and cloud computing, and threats are classified using machine learning (ML). ML has gained much momentum in recent years and is applied in various domains. One of the main subdomains of machine learning is used in IoT and cloud security. A machine learning model can be trained with data based on which the model can predict the impending security threats. Popular security techniques to protect IoT devices from hackers are IoT authentication, access control, malware detection, and secure overloading. Supervised learning algorithms can be used to detect malware in the runtime behavior of applications. The malware is detected from network traffic and is labeled based on its suspicious behavior. Post identification of malware, the application data is stored in a database trained via an ML classifier algorithm (KNN or Random Forest). With increased training, the model can identify malware applications with higher accuracy. 2022 IEEE. -
Linear and non-linear analyses of electrothermo convection in a micropolar fluid
The linear and weakly non-linear stability analyses of electrothermo convention in a micropolar fluid layer heated from below are studied. The linear and non-linear analyses are, respectively, based on normal mode technique and truncated representation of Fourier series. The influence of various parameters on the onset of convection has been analyzed in the linear case. The resulting autonomous Lorenz model obtained in non-linear analysis is solved numerically to quantify the heat transfer through Nusselt number. It is observed that the increase in concentration of suspended particles stabilizes the system and decreases the heat transfer and increase in electric Rayleigh number destabilizes the system and increases the heat transfer. 2017 Pushpa Publishing House, Allahabad, India. -
A STUDY ON THE INFLUENCE OF FAMILY ENVIRONMENT IN THE DEVELOPMENT OF AGGRESSIVE BEHAVIOR IN CHILDREN
This study designates the influence of family environment in the development of aggressive behavior in children. The purpose of the study was to find out how the family environment influences the aggressive behavior in children. The study was conducted in 5 government aided schools run by the diocese of Mananthavady in Wayanad district of Kerala State. The study included fifty, 10 to 12 year old school going children and their mothers. Family environment scale was used to find the family environment of the children and Aggressive Questionnaire was used to find the level of aggression in children. The raw data were subjected to various statistical analyses. The study brings in (1) the structure and systems in the families (2) the types and levels of aggression in children. The study found that 54 % of the children are with high aggression and 36 % of the children are with very high aggression. Over all the result found that the family environment has a significant role in the development of aggressive behavior in children. The more poor structure and systems in family environment creates the more aggressive children. Key words: family environment, physical aggression, verbal aggression, anger, hostility. -
On the Maximization of Some Graph Coloring Problems
A graph coloring problem involves labeling the vertices or edges in a graph with newlinecolors or numbers subject to some constraints. The most frequently known graph newlinecoloring problems are the ones that usually minimize the number of colors used in newlinecoloring the vertices or edges. The chromatic number of a graph G, denoted by and#967;(G), is the least number of colors used in a proper coloring of G. The chromatic sum of a graph G, denoted as P(G), was introduced in [1], which is to and the smallest possible coloring sum in a proper coloring of the graph G using natural numbers. Lately, a few studies have endured in a distinct area of the literature where the number of colors used in a graph coloring problem is maximized under certain conditions. Some of these works have applications in network sciences. newlineThe concerned study focuses on the maximization of three dierent edge coloring newlineconcepts, viz., the vertex induced kand#8722;edge coloring, vertex incident kand#8722;edge coloring, newlineand edge incident 2and#8722;edge coloring of a simple connected graph G, where k and#8805; 2. The newlinenumber of colors assigned to the edges of the graph G has been maximized under certain conditions. The vertex induced kand#8722;edge coloring and the vertex incident newlinekand#8722;edge coloring concepts are the generalized version of the edge coloring approach newlineintroduced and studied in [2]. Furthermore, the concept of the achromatic sum of a graph G has also been introduced here. This concept is to and the greatest possible coloring sum of the graph G in an improper edge coloring using natural numbers. An extensive study newlineon three achromatic sums, namely the vertex induced 2and#8722;edge coloring sum, the vertex incident 2and#8722;edge coloring sum, and the edge incident 2and#8722;edge coloring sum are carried out. A few bounds for these parameters on a simple connected graph G and the exact values for some elementary graph classes have been investigated. A few comparative results between some of these parameters have also been obtained. -
Sustainable tourism development through community based waste management in backwater destinations of kerala
According to the United States Environmental Protection Agency, (2002) solid waste newlinemanagement is a great challenge in many tourist destinations because improperly managed solid waste can threaten the environment as well as the life of the local community. Sewage waste and plastic material from tourism houseboats are increasing the pollution in the backwaters of south Kerala. These days it is not completely proper for touristic activities because of their physical and morphological attributes. This can lead to unsustainable negative impact on the backwater (Iskander and El 2014).Therefore this study was seeking to understand the influence of community based waste management towards the sustainable tourism development in the backwaters of south Kerala. The research adopted a descriptive research design. The study consists of three newlinecategories of stakeholders. Public sector, Private sector, and Local community. Public Sector stakeholders include Hotel Officials, Resorts officials and houseboat officials. Private sector stakeholder includes the government representative of concerned backwater destination. Descriptive statistics, ANOVA, Confirmatory factor analysis (CFA), SEM Modelling are the various statistical techniques used in this study. Cross-case analysis was used to analyse newlinethe qualitative aspects of the research study. This study also develops and test a community based waste management model for newlinesustainable tourism development and considered the influence of factors on community support, community involvement, perceived benefits and perceived cost. The structural model indicates that increasing perceived benefits and decreasing perceived cost from backwater tourism would help to enhance community involvement and support for newlinesustainable tourism development in the backwaters of south Kerala. -
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A study on dominating functions in signed graphs
In this thesis, a study on Roman dominating functions in the realm of signed graphs is carried out. Unlike graphs, not all signed graphs admit a Roman dominating function, which leads to the primary problem of exploring signed graphs admitting a Roman dominating function. Further, variants of dominating function such as Roman {2}-dominating function, Minus dominating function and Signed dominating function in signed graphs are also studied. A dominating set of a signed graph S is dened as a set D and#8838; V such that each vertex v and#8712; V \ D has at least one neighbour u and#8712; D with and#963;(uv) = 1. The domination number and#947;(S) is the minimum cardinality among all the dominating sets newlineof S. A characterisation for minimal dominating sets of a signed graph along with newlinecharacterisations of signed graphs with domination number k, where 1 and#8804; k and#8804; 4 and newlinen and#8722; 2 and#8804; k and#8804; n are obtained. A Roman dominating function(RDF) on a signed graph S = (G, and#963;) is a function f : V (S) and#8594; {0, 1, 2} having the properties that (i) for every vertex u and#8712; V (G), f(N[u]) = f(u) + Pvand#8712;N (u) and#963;(uv)f(v) and#8805; 1 and (ii) for each vertex u and#8712; V (G) with f(u) = 0, there exists a vertex v and#8712; N +(u) having f(v) = 2. The signed graphs newlineadmitting an RDF are explored and certain classes of signed graphs such as paths, newlinecycles, stars admitting an RDF are characterised. Further, structural properties of signed graphs with 3-regular underlying graphs that admit an RDF are presented newlineand a characterisation of net-regular signed graphs with 3-regular underlying graphs, newlineadmitting an RDF is obtained. The signed graphs with Roman domination number equal to 2, 3, 4 and n are characterised. Further, criticality concepts have been examined by studying and#947;R-edge critical signed graphs S for which and#947;R(S +e) lt and#947;R(S), where the signature of the edge e is 1. A characterisation of and#947;R-edge critical signed trees with a single negative edge is presented, apart from some general results on and#947;R-edge critical signed graphs.
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A Study on Dominating Functions in Signed Graphs
In this thesis, a study on Roman dominating functions in the realm of signed graphs is carried out. Unlike graphs, not all signed graphs admit a Roman dominating function, which leads to the primary problem of exploring signed graphs admitting a Roman dominating function. Further, variants of dominating function such as Roman {2}-dominating function, Minus dominating function and Signed dominating function in signed graphs are also studied. A dominating set of a signed graph S is dened as a set D and#8838; V such that each vertex v and#8712; V \ D has at least one neighbour u and#8712; D with and#963;(uv) = 1. The domination number and#947;(S) is the minimum cardinality among all the dominating sets newlineof S. A characterisation for minimal dominating sets of a signed graph along with newlinecharacterisations of signed graphs with domination number k, where 1 and#8804; k and#8804; 4 and newlinen and#8722; 2 and#8804; k and#8804; n are obtained. A Roman dominating function(RDF) on a signed graph S = (G, and#963;) is a function f : V (S) and#8594; {0, 1, 2} having the properties that (i) for every vertex u and#8712; V (G), f(N[u]) = f(u) + Pvand#8712;N (u) and#963;(uv)f(v) and#8805; 1 and (ii) for each vertex u and#8712; V (G) with f(u) = 0, there exists a vertex v and#8712; N +(u) having f(v) = 2. The signed graphs newlineadmitting an RDF are explored and certain classes of signed graphs such as paths, newlinecycles, stars admitting an RDF are characterised. Further, structural properties of signed graphs with 3-regular underlying graphs that admit an RDF are presented newlineand a characterisation of net-regular signed graphs with 3-regular underlying graphs, newlineadmitting an RDF is obtained. The signed graphs with Roman domination number equal to 2, 3, 4 and n are characterised. Further, criticality concepts have been examined by studying and#947;R-edge critical signed graphs S for which and#947;R(S +e) lt and#947;R(S), where the signature of the edge e is 1. A characterisation of and#947;R-edge critical signed trees with a single negative edge is presented, apart from some general results on and#947;R-edge critical signed graphs. -
Effect of personality, psychological capital, institutional support on job satisfaction and affective commitment among private school teachers on South Karnataka
A teacher's personality traits are important to create and maintain a
classroom learning environment. The behaviour of Teachers depends on the characteristics of the personality. There have been many pieces of research based on the positive aspects of teachers' behaviour through enhancing some psychological states which are based on the positive institutional behaviour. This particular research has its focus on the positive strengths of the teachers, and this construct has an essential influence on job satisfaction. Hence, a satisfied and engaged teacher is very much necessary to strengthen the competitive student base of every School. To explore the fact, the researcher has chosen the constructs such as Personality, Positive psychological capital, Institutional factors (Perceived Institutional support, Work-life policies, Work autonomy), Job satisfaction factors, and Affective commitment to study the impact of the Big five dimensions of personality on job satisfaction and affective commitment of private school teachers in South Karnataka and to investigate the impact of psychological capital on job satisfaction and affective commitment of teachers. The study also attempts to understand the influence of Institutional factors (perceived Institutional support, work-life policies, and work autonomy) on job satisfaction and affective commitment. -
Effect of personality psychological capital institutional support on job satisfaction and affective commitment among private school teachers in south karnataka
A teacher's personality traits are important to create and maintain a classroom learning environment. The behaviour of Teachers depends on the characteristics of the personality. There have been many pieces of research based on the positive aspects of teachers' behaviour through enhancing some psychological states which are based on the positive institutional behaviour. This particular research has its focus on the positive strengths of the teachers, and this construct has an essential influence on job satisfaction. Hence, a satisfied and engaged teacher is very much necessary to strengthen the competitive student base of every School. To explore the fact, the researcher has chosen the constructs such as Personality, Positive psychological capital, Institutional factors (Perceived Institutional support, Work-life policies, Work autonomy), Job satisfaction factors, and Affective commitment to study the impact of the Big five dimensions of personality on job satisfaction and affective commitment of private school teachers in South Karnataka and to investigate the impact of psychological capital on job satisfaction and affective commitment of teachers. The study also attempts to understand the influence of Institutional factors (perceived Institutional support, work-life policies, and work autonomy) on job satisfaction and affective commitment. Also, the study explores the influence of job satisfaction on the outcome factors namely affective commitment among private school teachers. The study used a descriptive research design, and it is observed that the total number of districts in south Karnataka is fifteen. The researcher selected four private schools from each district randomly with the help of the private school list used as a sampling frame. The total sample size for the study estimated were 477 teachers working in private schools. The study has analysed the data using appropriate statistical tools such as (i) frequency analysis, (ii) Factor analysis, (iii) ANOVA with post hoc (v) Regression analysis. The study concludes that when the private school teachers personalities such as extraversion, agreeableness, conscientiousness, and openness to experience which will tend to significantly influence Job satisfaction among teachers working in the private schools of South Karnataka. Similarly, private school teachers Psychological capital like resilience, self-efficacy, optimism, and hope which tend to influence job satisfaction at their work significantly. This study also concludes that private school teachers to be given proper work-life balance and work autonomy by the school management, which will significantly influence job satisfaction among the teachers at work. Also, private school teachers who possess personalities such as extraversion, agreeableness, conscientiousness, and openness to experience significantly influence the teacher's affective commitment. The study also reveals that the private school teachers have Psychological capital like resilience, Self-efficacy, Hope, and Optimism, which tend to significantly influence their affective commitment which will reflect towards their respective institution. If the private institution gave the school teachers proper work-life balance and work autonomy, then they tend to influence their affective commitment significantly. Also, it is concluded that the affective commitment of teachers significantly influences the job satisfaction level of school teachers. This implies that the school management can enhance the level of teachers' commitment to their schools by creating a more conducive and more satisfying environment in the workplace. Accordingly, schools can decide on pay and other monetary incentives. However, they can enhance teachers' job satisfaction by creating better training and development opportunities, improving leadership and management support, promoting accountability, and involving teachers in decision-making made at the school level. Another important finding of this study is the observed positive relationships between scores of job satisfaction and organizational commitment. Some of these findings contradict the existing literature in these fields; others are inconsistent with the prevailing literature. -
A study on induced path decompositions of graphs
A graph is a discrete structure consisting of a set of objectscalled vertices and another set of objects called edges depicting the relationship between pairs of vertices. Therefore, graphs serve as effective models to study networks of all types such as computer networks, telecommunication networks and social networks. The concept of a graph possesses the unique combination of features like simplicity, visibility, beauty, clarity, elegance and effectiveness
in studying problems dealing with network structures. It might be a simple structure like that of an organizational structure in a college, a complex structure like the world wide web (www) or just an abstract structure consisting of objects that are inter-connected according to some rule. -
Green Synthesis of Nano Carbon-Infused Polymer for The Detection of Toxic Heavy Metals
The global population is marching towards greener ways of life. Green nanotechnology, newlinewhich uses carbon nanomaterials for environmental remediation, is the pioneer among the existing strategies for the production, characterization, and applications of carbon nanomaterials derived from sustainable and renewable energy resources. Additionally, easily available natural ingredients are effective carbon precursors for producing carbon dots with newlineenthralling physical and chemical properties. Compared to other approaches, plant-based newlinesynthesis of nanomaterials is more dependable because it is simple, fast, ecologically newlinefriendly, and does not require particular conditions. We report for the first time, the use of a fluorescent nanocarbon material synthesised from plant, Indigofera Tinctora (L.) (IBLH), for the detection of metal ions. This nanomaterial developed using a green synthesis method that aided hydrothermal processing from the leaf extract of IBLH. The IBLH sensor used to detect hazardous metal ions (Pb2+) was very sensitive and selective. Considering the concentration from 1 nM to 100 mM and 100 mM to 1M, developed sensor displayed broad, dual linearity. The limit of detection (LOD) for the sensor appreciable low with 14.74 nM as the detection limit, with a wide and linear response spanning from 1 nM to 1M Cd2+ concentration range. Utilising Ruta Graveolens as the carbon source, we developed ARH-CDs from agricultural waste using chemical-free, one-step hydrothermal procedures that are safe for the environment. The synthesized ARH-CDs showed nano particle size, outstanding water newlinesolubility, great biocompatibility, and appreciable optical characteristics. The FTIR and XPS findings validated the existence of functional groups. such as C-O, C-C, and O-H with various oxygen functional groups, with predominating hydroxyl group, supporting the newlineexistence of CDs. For the selective detection of Hg2+, the synthesized ARH-CDs are employed as a biocompatible fluorescence sensor. -
A predictive system for determining the probability of transfer of viruses from animals to humans /
Patent Number: 202141012175, Applicant: Rajesh R.
The study of viruses transmission from animal to human beings is vital since more outbreaks are happing frequently and from a veterinary viewpoint these viruses causes diseases that are economically devastating. The emergence of animal virus in the human population seeks the importance of animals in harbouring infectious agents. Zoonosis is the scientific term referring to any diseases that are transmitted to people by animals.