Volume 13 | Issue 10

 Abstract

Abstract: This paper synthesizes historical, genetic, anthropological, and socio-cultural research to examine competing and complementary explanations for the origin and persistence of caste in South Asia. The historical literature has long debated whether caste primarily crystallized with the arrival of Indo-European-speaking groups or whether it emerged from earlier, indigenous forms of stratification organized around clan, totem, and occupation. As a result of recent genetic studies, simple "imposition" narratives have been complicated. This research has revealed that structures of social status, marital control, and occupational specialization existed before Indo-Aryan linguistic groups were fully consolidated. Furthermore, superimposition of endogamy on exogamy in later times reinforced hierarchy rather than creating it ex-nihilo (Ambedkar vol. 1). The evidence from mitochondrial DNA, Y-chromosome lineages, and medical genetics shows substantial maternal continuity across populations with sharper differentiation in paternal lines, consistent with gendered pathways of social incorporation and boundary making. Religious rationalizations around purity and pollution subsequently codified these social boundaries; colonial and postcolonial knowledge practices then reinterpreted, enumerated, or politicized them. Contemporary work in development studies and social psychology reveals the durable impact of caste on opportunity, skill acquisition, health, and subjective beliefs about agency. Throughout, we show that caste is best understood as a historically layered formation: early agrarian and tribal orders sedimented into ranked groups; religious and legal regimes sanctified those ranks; endogamy locked them in place; and modern institutions alternately challenge and reproduce them. We conclude by outlining a framework that reconciles genetic homogeneity with social heterogeneity and highlights how methodological pluralism, combining archives, ethnography, surveys, and genomics, yields a more adequate account of caste's past and present.

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 Keywords

Keywords: Caste, Varna, Jati, Endogamy, Indo-Aryan Migration, Purity and Pollution, Genetic Ancestry, Colonial Enumeration, Skill Development, Psychosocial Outcomes.

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This research paper aims to investigate the Townsite Sales Application (TSA) process in Baguio City, Philippines, addressing the research problem of understanding the issues and variables affecting TSA applications in selected barangays. The study follows a qualitative research design, employing exploratory and descriptive research methods to gather data. Collaboration with various entities, including government offices and geodetic engineers, was crucial for effective communication and data collection. Data was collected through documentation, non-statistical survey questionnaires, and live interviews. The findings from the analysis of the data shed light on the complexities and challenges involved in the TSA process. Major trends and factors were identified, including overlapping issues, ancestral land claims, tie-line problems, land suitability, and the payment process contributing to pending applications. The Mines and Geosciences Bureau (MGB) 's involvement in hazard assessments and the unexpected encounters that can disrupt the process, such as adverse claimants and policy changes, were highlighted. The perspectives of approving and processing authorities, geodetic engineers, and barangay officials provided insights into common issues and limitations faced during the TSA process. Based on the data analysis, it is concluded that streamlining the application process, enhancing coordination among stakeholders, increasing awareness and education, supporting geodetic engineers, and addressing corruption and bureaucracy are crucial for improving the TSA process in Baguio City. These recommendations aim to promote a more efficient, transparent, and fair land development and ownership system.

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Townsite Sales Application (TSA) | Streamlining the application process | Awareness and education | Efficient TSA process | Transparent TSA process | Coordination among stakeholders | Fair system for land development and ownership | Pending applications

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Trypanosomiasis, Trypanosome, Sleeping Sickness, Parasitemia, Tetrapleura tetraptera

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Investment means using money with the goal of increasing wealth over time. People can choose to invest directly by buying and managing securities themselves or indirectly through financial intermediaries like mutual funds. When investing directly, the person has full responsibility for all decisions, which requires good knowledge of the market and strong skills in managing a portfolio. On the other hand, when investing indirectly, the person relies on professional fund managers to make investment decisions, which lessens the personal responsibility and effort involved. This paper looks at the risk and return levels of some of the best-rated equity mutual funds in India. It uses statistical tools such as standard deviation, Sharpe ratio, beta, Jensen's alpha, and Treynor's ratio to compare how different fund categories perform. These categories include ELSS, large-cap, mid-cap, and flexi-cap funds. The study aims to find out which investment schemes offer good returns relative to the risk taken and provides guidance for investors.

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Mutual Funds, ELSS, Large-Cap, Mid-Cap, Flexi-Cap, Risk-Return, Sharpe Ratio, Jensen's Alpha

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Reliable data transmission is a fundamental requirement in modern communication systems. Signals transmitted over communication channels are often corrupted due to noise, interference, and fading, leading to transmission errors. Channel coding, which includes error detection and correction techniques, plays a vital role in ensuring data integrity. This paper provides a comprehensive review of error control techniques, including Automatic Repeat Request (ARQ), Forward Error Correction (FEC), and block coding, with a focus on Golay codes. The paper discusses the types of transmission errors, coding structures, implementation methods, and highlights recent developments in high-speed and efficient error correction for memory and communication applications.

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Error Detection, Error Correction, Forward Error Correction, Golay Codes, Block Codes, Communication Systems

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This study focuses on designing and analyzing a Pelton wheel bucket using SolidWorks and ANSYS to evaluate its performance under realistic hydraulic loading. Three materials--Inconel 625, Gray Cast Iron, and Stainless Steel--were compared. Inconel 625 showed superior strength and fatigue resistance, Gray Cast Iron offered cost benefits but lower durability, and Stainless Steel provided balanced strength, corrosion resistance, and affordability. The study emphasizes CAD and FEA integration for optimizing Pelton wheel bucket design to enhance efficiency, durability, and sustainability in hydroelectric systems.

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Pelton wheel, Finite Element Analysis (FEA), Material selection, ANSYS simulation, Hydroelectric power

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This project focuses on designing and analyzing a camshaft using SolidWorks and ANSYS. A 3D model was developed and tested under real conditions to study stress, deformation, and vibration. Three materials--Gray Cast Iron, Inconel 718, and Aluminium Alloy--were compared. Inconel 718 showed superior strength and fatigue resistance, Gray Cast Iron offered good damping and cost benefits, while Aluminium Alloy provided lightweight advantages. The study emphasizes material selection for improving

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camshaft, aluminium alloy, grey cast iron and Inconel 718

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Creative Commons Attribution 4.0 and The Open Definition

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Consumption is one of the most important economic behaviour of human beings. It is the ultimate goal of all economic activities. The standard of living of the people of a country depends upon the levels and patterns of consumption. Among the states of India, Kerala is well known across the world for achieving developed world levels of social development. Another unique feature of Kerala is that it is a consumer state producing very little in terms of consumer goods. For a detailed understanding of the consumption pattern of Kerala, a sample survey was carried out. The present study is an attempt to compare the food consumption expenditure of the households in different income groups, i.e., BPL and APL income groups.

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Consumption Pattern, economic variables, households, rural, urban, income groups

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"A Descriptive study to assess the knowledge of antenatal mothers with a view to develop and distribute pamphlet regarding antepartum hemorrhage in village Joghon Nalagarh, dist. Solan" Was undertaken by Dr. Rahul Sharma and Ranjna Thakur in the partial fulfillment of the requirement for the degree of BSC nursing at lord Mahavira nursing college Nalagarh .Following objectives were set for the study .To assess the knowledge regarding antepartum hemorrhage among antenatal mothers. To find the association between demographical variables and knowledge among antenatal mothers. To provide pamphlets to antenatal mothers regarding antepartum hemorrhage. The design of the study was Non experimental research design based on descriptive approach the study was conducted in village Joghon Nalagarh ,and sample was antenatal mothers. Purposive sampling technique was used to select 40 samples for the study The tools used for the study were structured knowledge questionnaire to assess the knowledge regarding antepartum hemorrhage . the data gathered was analyzed by employing descriptive and inferential statistics. The major findings of the study were: The majority of antenatal mothers (65%) were in the age group of 24-28. The majority of antenatal mothers (25%) were having primary education The majority of antenatal mothers (87.5%) are Hindu the majority of antenatal mothers i.e. (100% )belongs to rural area. The majority of antenatal mothers( 92.5%) were vegetarian The majority of antenatal mothers i.e. (100%) were housewife : The majority of antenatal mothers (12.5% )were having monthly income 8000.

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Antepartum Hemorrage, Pregnancy, Health education

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Education today suffers from a crisis of fragmentation, with systems privileging measurable outputs while neglecting the integrated development of intellectual, emotional, physical, social, and spiritual capacities. This paper advances a framework for holistic education in India by synthesizing G. I. Gurdjieff's Fourth Way--grounded in self-remembering, conscious labour, and the harmonization of human centres--with Indian philosophical and pedagogical traditions from the Bhagavad Gita, Buddhist mindfulness, Jain ethics, and the educational visions of Vivekananda, Aurobindo, Tagore, Krishnamurti, and Malaviya. Holistic education is conceptualized here as the intentional cultivation of integrated being and ethical agency, reframing the aim of schooling from market readiness to responsible and awakened personhood. The paper highlights convergences and productive tensions between Gurdjieff's practices and Indian ideals of dharma, yoga, ahi?s?, and mindful action, demonstrating how inner disciplines can operationalize values often left aspirational in policy. Situated within the context of India's National Education Policy 2020, the framework translates mandates for multidisciplinary, value-based, and experiential learning into implementable curricular designs, illustrated through applications in guru-shishya mentorship, meta-learning, Social and Emotional Learning, Learning to Live Together, and Global Citizenship Education, supported by alternative assessments such as portfolios, performance tasks, and narrative evidence. Further, it outlines teacher preparation pathways that embed attention practices and reflective communities, while proposing a research agenda linking Gurdjieffian exercises to outcomes in attention, regulation, empathy, and school climate. By bridging classical wisdom, contemporary psychology, and policy directions, the paper offers a practical and transformative vision for rehumanizing Indian education and reorienting success toward presence, responsibility, and harmony.

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Holistic Education; G. I. Gurdjieff; Fourth Way; Indian Philosophy; National Education Policy 2020; Value-based Education; Experiential Learning

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The study is about the complicated problem of teaching and learning English as a second or foreign language, in particular, in the non-native backgrounds. It highlights the linguistic, cultural, psychological and socio-economic hindrances that rob the success of linguistic acquisition. The issues facing the teachers are lack of training, outdated manner of doing things, overcrowded classes and on the other hand, the learners have issues of being lowly motivated, full of anxiety and are not exposed to the use of real languages. The study follows a qualitative and exploratory study because it involves the synthesis of secondary information to provide a general picture of these challenges. The findings indicate the need to invest more in teacher training or development, use learner-centered pedagogies and enhance access to resources when breaking through the barriers. An overall solution to all three issues has the potential of facilitating improved communicative competence and widening academic, professional, and social opportunities of learners in the globalized world.

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English Language Teaching, Language Learning Challenges, Teacher Training, Socio-economic Barriers, Communicative Competence

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In Today's technological world images play a vital role. With the tremendous growth of digital media, protecting and transferring of images has become progressively important. With the usage of images everywhere, there arise the storage and network issues during transfer of data. To overcome this disadvantage a concept called Compression is introduced where the redundant data is eliminated. In this paper we discuss about compression, need for compression, types of compression, different types of compression techniques that are used and the new method we are going to use. This study introduces a hybrid framework that combines image compression, watermarking and hexadecimal conversion to protect data. This method not only verifies the authenticity but also prevents tampering or unauthenticated or unauthorized access. The proposed method establishes equilibrium between compression efficiency and data security, making it experimental for real world applications.

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Image Compression, Digital Watermarking, Hexadecimal Conversion, Key Insertion, Secure Image Transmission.

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Web applications are constantly targeted by attackers due to their role in delivering interactive services and processing sensitive information. Vulnerabilities such as SQL Injection (SQLi), Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), and insecure coding practices can compromise both data integrity and user trust. This review synthesizes findings from representative studies, highlighting de tection and mitigation approaches including AI-driven models, static and dynamic analysis, automated remediation tools, and platform-specific scanners. By examining objectives, methods, strengths, and limitations, the paper identifies patterns and practical lessons for embedding robust security practices throughout the soft ware development lifecycle.

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WebApplication Security, SQL Injection, Cross-Site Scripting, Detection Frameworks, Secure Coding, Artificial Intelligence

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Two-factor authentication (2FA) has become essential for digital security as mobile devices and Internet-of-Things (IoT) environments shape our daily interactions. It helps reduce risks linked to password issues like phishing and credential theft. This review paper examines how acoustic based authentication has evolved, focusing on active sound sensing methods that provide secure, zero-interaction 2FA. We start with early ambient audio techniques for shared key generation. The discussion then moves to sensor fusion methods, proximity detection in voice-enabled IoT settings, and finishes with advanced echo-based systems like Proximity-Echo. We explain the reasons behind each development phase and compare the technical trade-offs, especially regard ing usability, attack resistance, and efficiency. We also discuss the implications for embedded mobile systems. The paper ends with a practical workflow that combines active beep emission and echo signature analysis. We also suggest future research areas, including multi-modal sensor integration, post-quantum adaptations, and energy-efficient designs.

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Two-Factor Authentication (2FA), Active Sound Sensing, Proximity Detection, Acoustic Fingerprinting, Zero-Interaction Authentication, Relay Attacks, Man-in-the-Middle Attacks, IoT Security

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Sri Sri Aniruddhadeva, born in the 16th century, was an eminent saint-scholar and a social reformer in Assam. He played a significant role in the growth of the Bhakti movement in the region. The Bhakti movement in Assam is unique because it is a syncretic blend of various religious and philosophical traditions, including indigenous beliefs. By the time Aniruddhadeva came onto the scene, the Bhakti movement was already a strong social and spiritual force in Assam, primarily due to the contributions of Sankardeva, another saint-scholar, who had initiated the Neo-Vaishnavism movement in Assam. Aniruddhadeva took it upon himself to disseminate the teachings and philosophies further. He was instrumental in composing a large number of devotional songs, dramas, and theological works. His writings were largely in the Assamese language, making them accessible to the common people, and he encouraged the use of local idioms and styles in religious discourse, which added a unique Assamese flavor to the Bhakti movement. Aniruddhadeva was also a social reformer who worked tirelessly to dismantle the rigid caste system and other social inequalities. He advocated for a society based on devotion to God rather than birth or social standing. His contributions also included the establishment of Satras, or monastic centers, that became hubs of social and cultural activities. These Satras not only functioned as centers of religious discourse but also promoted social cohesion by bringing together people from different strata of society. Moreover, Aniruddhadeva's role in promoting communal harmony is noteworthy. His teachings emphasized the essential unity of all religious paths and encouraged an open-minded approach to the interpretation of religious texts. This has been pivotal in making Assam's Bhakti movement one of the most inclusive and diverse forms of Bhakti in India. Sri Sri Aniruddhadeva was a key figure in the growth of the Bhakti movement in Assam. His work in spreading the teachings of Neo-Vaishnavism, initiating social reforms, and fostering communal harmony has left an indelible mark on Assamese society and culture. Sri Sri Aniruddhadeva, played a significant role in propagating the Bhakti movement in Assam. He contributed to the Neo-Vaishnavism movement in Assam. Aniruddhadeva's teachings focused on love, devotion, and surrender to God. His contributions are not only religious but also social and cultural. He composed hymns, organized community prayers, and was involved in translating important texts. Sri Sri Aniruddhadeva was a saint and a significant figure in the Neo-Vaishnavism movement in Assam. He lived in the 16th century and Aniruddhadeva's contributions were multifaceted, including religious, social, and cultural arenas.

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Bhakti Movement, Sankardeva, Aniruddhadeva, Vaishnavisim,

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Creative Commons Attribution 4.0 and The Open Definition

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Quality and relevance of features used in training are key factors in machine learning models' efficacy and dependability. Overfitting, higher computational complexity, and worse predictive performance can result from the redundant or unnecessary features that are frequently present in high-dimensional datasets. This work suggests a thorough architecture for feature selection that blends embedding, filtering, and wrapping methods to find the most important predictors while reducing noise. For the best subset selection, wrapper-based recursive feature elimination (RFE) is used after filter techniques like correlation analysis and chi-square tests are used to eliminate redundant features. To guarantee robust selection during model training, embedded strategies are employed, such as Lasso and tree-based feature significance algorithms. The suggested approach increases accuracy across a variety of machine learning techniques, decreases training time, and improves model interpretability. Comparing experimental outcomes to baseline models with all characteristics, and the F1-score show notable increases. This study highlights how crucial systematic feature selection is as a first step in creating scalable and effective predictive modelling pipelines.

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Feature Selection, Dimensionality Reduction, Machine Learning, Recursive Feature Elimination, Lasso Regression, Model Optimization, Predictive Modeling

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Creative Commons Attribution 4.0 and The Open Definition

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The longevity and success of the Metaverse as a socio-technical medium are critically dependent on sustained user engagement, referred to as continuance intention. This paper employs a systematic literature synthesis to model the antecedents of continuance intention, focusing specifically on non-technological factors: Trust and Privacy Protection. Empirical research confirms that for experienced users, continuance intention is positively affected by perceived usefulness, enjoyment, innovativeness, and crucially, trust and satisfaction. This aligns with consumer data prioritizing data/privacy protection (77%), ease of use (75%), and affordability. We identify a fundamental governance deficit, noting that current architectural models lack dedicated layers for enforcing accountability and interoperability. Furthermore, the emerging neurosociological paradigm, which uses implicit neural data (interbrain synchrony) to dynamically adjust virtual environments, introduces acute ethical risks to cognitive liberty, demanding specialized regulatory protection. This research validates a framework wherein sustained adoption is contingent upon the mandatory integration of explicit socio-regulatory mechanisms--such as unified digital identity systems and Neurorights legislation --into the core architecture, transforming external policy into internal system design to build user confidence and govern the future of immersive interaction.

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Metaverse, Human-Computer Interaction (HCI), Extended Reality (XR), User Adoption, Continuance Intention, Trust, Privacy Protection, Neuro-Governance, Structural Equation Modeling, Neurorights.

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Amitav Ghosh's fiction addresses significant topics related to human emotions and relationships across various social and political contexts. His storytelling connects the readers' sensitive emotions with the essential emotions of the characters. His fiction possesses a broad allure, resonating with readers worldwide. He skillfully integrates topics with the societal issues arising in the creation of a literary masterpiece. Amitav Ghosh, as a conforming academic of the postmodern era, advocates for a notion of art that fulfills both the analytical demands of literary critics and the emotional needs of general readers. As both a writer and educator, Ghosh possesses a keen insight into human misery and anguish, and his psychological acumen about delicate interpersonal relationships is exceptional. This research paper examines the themes of dilemma and tragedy in the books of Amitav Ghosh.

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quandary, captivating, ethnography, consequence, kaleidoscope

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Businesses must optimize their sales income in order to be profitable in ever-changing markets. Demand elasticity, competitive pricing, and real-time market variations are not taken into account by traditional approaches like cost-based pricing, rule-based pricing, and basic regression models, which results in less-than-ideal revenue outcomes in this research, we enhance pricing tactics by combining cutting-edge mathematics and machine learning approaches. The price-demand connection is modelled using quadratic regression, and high-accuracy demand forecasting is achieved by integrating long-term sequence learning (LSTM) with short-term trend analysis (ARIMA) in ARIMA-LSTM hybrid models. Our approach uses reinforcement learning (Q-learning) and game theory (Nash Equilibrium) to dynamically modify pricing in response to real-time changes in demand and competitive activities. Higher revenue optimization, improved demand forecasting, and improved competitive positioning are all made possible by these techniques, which also allow for clever pricing schemes that adjust to customer behaviour and market developments.

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Dynamic Pricing, Revenue Optimization, Price-Demand Modelling, ARIMA-LSTM Hybrid Forecasting, Reinforcement Learning, Q-Learning, Game Theory, Intelligent Pricing Strategy

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The material business in India is the principal business that has delivered enormous work especially for both disabled and unskilled workers. Soap business is one of the major earning for many home makers, even as a type of partial/side business. Soaps are used as cleansing and emulsifying agent, available in liquid and bar forms and comprise a wide variety of fragrances. The workers are in risk of several problems or diseases, as because of lack of adequate knowledge regarding hazards and preventive measures. This study mainly aims to identify the knowledge of occupational health hazards and to evaluate the effectiveness of a self instructed educational module among workers of a selected Soap Factory, in Kanpur city, India. A sample of 70 women workers working in the Soap factory, were selected by random sampling technique. One group pre-test post-test design was used and the data was collected using self structured questionnaire. The pre test score shows majority of respondents had poor knowledge (52.85%) while only 7.14% demonstrated adequate knowledge. After administration of self instructed education module, the post-test shows that, 20% of participants demonstrated high knowledge, while low knowledge was reduced to 35.71%. The pre test mean knowledge score was 9.5 (SD 4.56) and the post test mean knowledge score was 12.84 (SD 5.65), with the t-value of 3.88. This indicates the effectiveness of the self education module.

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Soap Factory, Worker, Occupational Health Hazards, Educational Module

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Creative Commons Attribution 4.0 and The Open Definition