bluuebunny/crossref_metadata_2025 huggingface dataset:
EMPOWERING DEMOCRACY: CITIZEN ACTIVISM AND POLICY ADVOCACY IN THE DYNAMICS OF GOVERNANCE
Authors: Pandey Tejaskar , Kumar Dr. Vijay , Singh Dr. D.K.
Published: January 2024

The article explores the principles, strategies, and leadership dynamics underlying the citizen-driven movement for the Right to Information (RTI) in India. Rooted in citizen activism, the movement strategically employed tactics such as public hearings, sit-ins, and awareness campaigns to demand information rights. The National Campaign for People's Right to Information (NCPRI) played a pivotal role, forming alliances, mobilizing support, and navigating complex stakeholder interests. The article delves into internal dynamics, power contestations, and evolving strategies, highlighting the movement's multifaceted leadership. It also discusses the media's influential role, social media's impact, and the challenges of maintaining collective action. The analysis spans the interplay between civil society, government relations, and policy advocacy, emphasizing the transformative impact of the RTI movement on Indian democracy.
NAVIGATING GOVERNANCE: EXPLORING CLIMATE CHANGE AND SUSTAINABLE DEVELOPMENT STRATEGIES IN THE CONTEXT OF G20 SUMMIT
Authors: Khan Dr. Saman , Pachauri Dr. Indresh , Jaiswal Dr. Gautam , Vashishtha Dev
Published: January 2024

The paper examines India's impactful role during its G20 presidency in addressing climate change challenges and promoting sustainable development strategies. Focused on advocating for renewable energy adoption, climate resilience, and sustainable practices, India emphasized the urgency of transitioning to clean energy sources and highlighted the interdependence of sustainable development and climate action. Through discussions on green finance, knowledge-sharing, and public awareness initiatives, India's leadership aimed to mobilize global cooperation towards a more resilient and sustainable future. The analysis showcases India's pivotal contributions in steering the G20 community towards collective strategies that prioritize environmental conservation and inclusive growth.
INDIA'S DIGITAL GOVERNANCE ODYSSEY: NAVIGATING ECONOMIC TRANSFORMATION IN THE DIGITAL ERA THROUGH PROWESS AND LEGAL RESILIENCE
Authors: Tiwari Dr. Namrata , Kumar Dr. Shiv , Srivastava Dr. Vikas Deepak
Published: January 2024

India’s economic digitalization transcends technological evolution; it’s a narrative of adaptability, resilience and a commitment to fostering an environment where innovation flourishes, individual rights are safeguarded and the nation emerges as a global frontrunner in the digital epoch. Integral to this digital odyssey are intellectual property laws and the Consumer Protection Act, serving as guardians of creators, consumers, and businesses in the digital realm. Key government programs, such as the National Digital Health Mission and the Unified Payments Interface, underscore India’s dedication to leveraging technology for societal well-being and financial inclusion. The imminent Digital Personal Data Protection Act establishes a comprehensive framework for responsible data processing and protection. The impending Digital India Act 2023, set to replace the Information Technology Act of 2000, is poised to bridge the gap between traditional legal frameworks and the complexities of the digital era. From online dispute resolution to intermediary liability, the Act signifies a progressive leap towards a comprehensive legislative landscape for the digital age. This Chapter navigates through the multifaceted dimensions of India’s economic digitalization, delving into the transformative impact of government initiatives such as Digital India and the impending Digital India Act. The legal underpinnings, including the Information Technology Act and cybersecurity laws have evolved in response to emerging challenges, focusing on data protection, privacy and the alignment of legal principles with the digitized landscape.
GOVERNANCE IN THE DIGITAL AGE: CHARTING THE COURSE FOR ENTREPRENEURIAL SUCCESS
Authors: Negi Dr. Meena , Kumar Dr. Shiv , Khan Arbaaz
Published: January 2024

The current era witnesses a profound shift towards technology, where digital entrepreneurship has become a dominant force in various business activities, transforming traditional methods of buying and selling. This shift is driven by advancements in technology, a digital infrastructure that facilitates entrepreneurial endeavors, and the emergence of supportive platforms such as e-commerce and online payment systems. Various factors contribute to the rise of digital entrepreneurship, including technological proficiency, digital infrastructure, e-commerce platforms, online payment systems, open-source software, social media, remote work culture, computer-based education, digital environments, government support, globalization, and changing consumer preferences.
INDUSTRIAL EVOLUTION ON DIGITAL FRONTIERS: DECIPHERING THE GROWTH TRAJECTORY OF INDIA'S IT SECTOR
Authors: Kausar Khushbu , Shah Aliza
Published: January 2024

This chapter explores Information Technology (IT) and its transformative role in our ever-changing tech landscape. IT, a hub of creativity and problem-solving, influences various domains, enhancing products, services, and societal progress. The narrative traces the historical journey from computers to modern tech like mobile and cloud computing, reflecting both technological evolution and societal shifts. The IT sector isn't just about computers and code; it's an ecosystem where innovation is the currency. It shapes global connectivity, influences businesses, and is indispensable in modern life. In India, the IT sector is a growth catalyst, contributing significantly to GDP and employment through software development, IT consulting, and BPO services. The Digital India initiative emphasizes its role in e-governance and digital connectivity. For aspiring professionals, the IT sector offers diverse career opportunities, despite challenges like skills shortages and data privacy concerns. This exploration unveils a narrative where each technological advancement and line of code contributes to shaping our interconnected world through the lens of Information Technology.
DIGITALIZING AGRICULTURE FOR INDUSTRIAL ADVANCEMENT: EXPLORING FARMERS' PARTICIPATION IN E-NAM, PUNJAB, INDIA
Authors: Singh Dharavath Pool , Patil Dr. Chidanand , Srivastava, Dr. Vikas Deepak , Chaitra Dr. G. B. , Venu H. D.
Published: January 2024

The Government of India launched electronic National Agriculture Market (e-NAM) trading portal for marketing of agricultural commodities on 14th April, 2016 which networks the existing APMCs to create a unified national market for agricultural commodities. The present study is an attempt to understand the level of farmers’ awareness and motivational factors to participate in e-NAM. Exploratory research design was employed for the study. The primary data was collected from 50 farmers in Mansa APMC of Punjab, India. The study found that the average age of the farmers was 45 years, majority (52.00%) were illiterate, average family size was 7.56 members and nuclear family size was 52%. Nearly 56% of farmers were aware of e-NAM, while awareness percentages for specific features were lower: registration at gate-entry (18%), lot IDs (42%), assaying process (50%), online bidding (52%), inter-state bidding (48%), and online money transfer (8%). These findings indicate knowledge gaps among farmers, emphasizing the need for improved awareness and education on these aspects of e-NAM. With respect to the motivational factors the study found that 32% of respondents were motivated by immediate cash after sale, 32% considered better infrastructure as a key factor, 22% were driven by the desire for remunerative prices, and 14% found the elimination of middlemen to be influential. To promote wider participation and uptake of e-NAM APMC, it is crucial to address farmers' awareness gaps and improve their understanding of specific features. Additionally, efforts should be made to ensure timely payments, enhance infrastructure, and provide opportunities for farmers to obtain competitive prices. By addressing these factors, e-NAM APMC can effectively support farmers in maximizing their economic well-being and contribute to the overall development of the agricultural sector.
INDUSTRIAL DEVELOPMENT UNVEILED: DYNAMICS, CHALLENGES AND PROSPECTS IN INDIA'S TEXTILE AND APPAREL INDUSTRIES
Authors: Singh Diwakar Pratap , Pachauri Dr. Indresh , Saini Shreya Saini Shweta
Published: January 2024

In recent years, India's textile and apparel sectors have experienced dynamic transformations driven by both domestic and global factors. A growing population, rising disposable incomes, and changing consumer preferences have boosted domestic demand for textile and apparel products. Additionally, government initiatives such as "Make in India" and favorable policies have further incentivized investment in the sector. As a result, India has emerged as one of the world's leading textile and apparel exporters. However, the industry faces a range of challenges. These include stiff competition from other low-cost manufacturing nations, fluctuating raw material costs, and the need to upgrade and modernize infrastructure and technology. Environmental and sustainability concerns are increasingly important, with a focus on reducing the environmental footprint of textile manufacturing. Labor issues, including fair wages and working conditions, also remain on the industry's radar.
NATIONAL EDUCATION POLICY 2020 AND THE ACADEMIC BANK OF CREDITS SYSTEM IN THE CONTEXT OF EDUCATIONAL DEVELOPMENT IN INDIA
Authors: Rawat Dr. Nitesh , Kumar Dr. Vijay , Yadav Vinay Kumar , Shukla Sonia, Dr. Anamika
Published: January 2024

Education gives young people knowledge and turns them into educated people. Developed countries became wealthy because they had the right kind of education. New India has the same kind of ideas. The goal of this National Education Policy 2020 is to change the way education works in India by 2040. The 10+2 structure will be changed to the 5+3+3+4 model as part of the new National Education Policy 2020. It suggests an undergraduate program with multiple ways to leave that leads to a bachelor's degree in more than one field. The Academic Bank of Credits system is part of the National Education Policy 2020. (ABC). It is a virtual store that keeps track of the credits that students earn as they go through school. It will be responsible for setting up, closing, and verifying students' academic accounts. It gives students more freedom to pick their classes and majors. would be a place where teachers could look up the credit records of their students. This ABC scheme includes both online and traditional courses. Students will be able to use the credits they earn for seven years. The UGC thinks that the practice of the ABC will have a positive effect in the coming years.
EDUCATIONAL LANDSCAPE IN JAMMU AND KASHMIR: EXPLORING THE IMPACT AND RECOVERY FROM THE PANDEMIC PERIOD IN THE CONTEXT OF EDUCATIONAL DEVELOPMENT IN INDIA
Authors: Bhat Dr. Arshad , Lateef Mohammad , Rashid Parvaiz , Pachauri Dr. Indresh
Published: January 2024

The SARS-CoV-2 virus, or Covid-19, was a terrible development for global education and related sectors. The entire nation was under total lockdown because of Covid-19, and this included the country's educational system. The pupils who suffered the most from the school closures were those who had no opportunity to learn at home. A loss of education may come from the school closing, and a loss of education would equate to a loss of human resource development overall. The entire spectrum of education was about to implode. However, suddenly, the Internet turns out to be a godsend and transforms the educational landscape from a physical classroom to a virtual one. The internet was used for all education-related activities, saving millions of students' futures, and advancing the cause of future resource endowment. This chapter attempts to analyze the state of education in Jammu and Kashmir both during and after the pandemic's recovery, keeping in mind the full range of Covid-19 and the value of education. The information utilized in this chapter came from the Jammu and Kashmir government's official database, the Directorate of Economics and Statistics' Digest of Statistics. Simple mathematical tools such as compound annual growth rates and percentage changes were used to analyze the data. The data shows a dismal and declining state of the education sector in Jammu and Kashmir during the pandemic and even after recovery, which made the results somewhat startling. The findings demonstrated that, despite an increase in the pass percentage of students between the pre- and post-pandemic periods, the enrollment ratio of students experienced a percentage change of -2.70 and -5.97 for primary and secondary education, respectively. In a similar vein, the number of teachers enrolled has also declined, changing by a positive 89.08 percentage point at the upper secondary level of education but decreasing by -50.43 and -8.48 percentage points at the primary and secondary education levels, respectively. The primary student-teacher ratio in Jammu and Kashmir experienced a negative change of -50.43 over the reference period (2018-19 to 2021-21), according to the results. The chapter also emphasizes how slowly the education sector has expanded over the past few decades, with compound annual growth rates for institutions, students enrolled, and teachers of 0.170, 0.032, and 0.284, respectively. The chapter concludes that while education in the state is improving, it is in disarray overall and needs stable policy support from the government and other non-profit organizations to close the educational gap and reap the benefits of education through better human resources and a better state. This support is needed both during the Covid-19 pandemic and after the recovery period.
Vers une post-croissance « juste » ? Prolégomènes d’une théorie de la Justice dans un monde post-croissance
Authors: DUPREZ Charles , BURDALSKI et Sébastien
Published: January 2024

The political project of post-growth agrees on the importance of creating a fairer society. Although calls for the pursuit of social justice and political proposals are legion, they lack articulation and an encompassing vision. If post-growth is to establish itself as a new paradigm of social and ecological justice, the movement needs its own theory of justice consistent with the analytical framework of post-growth. This text therefore proposes to open a discussion on the constitution of a theory of Justice in a post-growth world.
Incidence of Pregnancy Induced Hypertension and Its Outcome to Mother and Newborn in Zliten, Libya
Authors: C. L. Abigael , P. E. Belinitha
Published: January 2024

This study determined the incidence of pregnancy induced hypertension and outcomes on mothers and newborn in Zliten, Libya during the Calendar Year 2022. It also looked into the significant relationship between the incidence of Pregnancy Induced Hypertension (PIH), the socio-demographic and obstetrical-related profile of the respondents, and significant relationship between the incidence of Pregnancy Induced Hypertension and outcomes to mothers and newborn.
Mobile Marketing and Consumer’s Purchase Decisions among Students of Tertiary Institutions in Akwa Ibom State
Authors: G. E. Samuel , E. U. Unyime
Published: January 2024

This study was carried out to assess the relationship between mobile marketing and purchase decisions of students in the tertiary institutions. The researchers adopted a survey research technique in the study. The population size was students of three tertiary institutions in Akwa Ibom State and a sample size of 366 employees was studied. The mobile marketing variables (independent variables) considered in the study were Short Message Service, Mobile Website and Social Media Marketing. The dependent variable was Consumer’s Purchase Decision. Research questions were answered using frequency, mean and standard deviation. The hypotheses stated were tested using Spearman Correlation Coefficient at a 5% level of significance. From the data analysis, the major findings revealed a positive and significant relationship between the dimensions of mobile marketing variables (Short Message Service, Mobile Website and Social Media Marketing) and consumer’s purchase decision of Nigerian students in the tertiary institutions. From the findings, it was concluded that there was a positive and significant relationship between mobile marketing and consumer’s purchase decision of Nigerian students in Akwa Ibom State. In line with this, it was recommended that companies should endeavor to influence their customers’ purchase decisions by making their products accessible through mobile devices platforms to interact with their customers and keep them informed of new product features.
Anatomic Explanation for the Presence of Foreign Bodies in Natural Orifices
Authors: Dadá Mahomed Sidique Abdul Cadar , Lai Wai Yu , Dadá Zulaikhah Mahomed Sidique , Dadá Abdul Habib Mahomed
Published: January 2024

Foreign bodies are very common in the Emergency Department worldwide and expend a lot of time of medical staff to extract them. A plenty of these situations are accidental or involuntary, while others are intentional, depending on the patient's age. The anatomical location associated with the sort of foreign body determines the type of symptoms and complications resulting even as the procedure required for its extraction. The present study aims to explain, based on anatomical knowledge, the occurrence of accidents and incidents with foreign bodies in the aero-digestive tract, external auditory canal, nasal cavities, and eyes.
A Modified Fuzzy Labeling Graph using Geometric Mean and Harmonic mean and its Application
Authors: Et al. P. K. Hemalatha
Published: January 2024

The Modified Fuzzy Labeling Graph (MFLG) has gained popularity in the field of image processing due to its ability to accurately represent complex images. However, there are limitations to the MFLG approach that can be addressed through the use of geometric mean and harmonic measures. In this paper, the authors propose a new idea on a modified fuzzy labeling graph. A Modified fuzzy (M )  graph σ is a function from V to [0,1] and µ is a function from E to [0,1] where ∀  . The modified fuzzy labeling has an edge value, which is less than or equal to the maximum of two endpoints that is  To obtain the result, the edge weight is assigned as Geometric labeling mean, where W(e) is equal to the square root of two end points. The edge weight is assigned as Harmonic mean labeling, which is . The study examines the modified fuzzy labeling for the different graphs including Alternate Pentagon snake graph, Alternate Double Pentagon snake graph, and Alternate Triple Pentagon snake graphs using Geometric mean; and the discussed , D and Quadrilateral snake graph using Harmonic mean. Graph that permits modified fuzzy (MFL) labeling is called a . Some of the properties and results thereof have been explained. The authors also discuss an application of critical path method in Operation Research for students Higher studies problem.
A Comprehensive Analysis to Image Classification: Understanding Techniques and Explore Data Preprocessing a Non-linear Approach
Authors: Reena Thakur Et al.
Published: January 2024

Orange is a feature-rich open-source platform with a graphical user interface designed with data analysis and modeling in mind. Preprocessing, assessment, predictive modeling, and data visualization are just a few of the functions that this application offers. Its drag-and-drop interface allows users to create data analysis processes quickly and easily without requiring a lot of technical knowledge, making the process easy. Orange provides a wide range of machine learning techniques, from logistic regression and decision trees to support vector machines and neural networks. This wide range easily handles tasks including grouping, regression, and classification. Most notably, the tool promotes interaction with other libraries and tools, such Python and R, allowing users to pursue more complex modeling and data analysis projects. To put it briefly, Orange is a powerful tool that researchers, data scientists, and students may use to analyze and model data in an easy-to-use and effective manner. The goal of this investigation is to fully explore Orange's potential, which will make it a valuable tool in the fields of data science and machine learning.
Ethnomathematics: Increased Understanding of Mathematical Concepts in Debus and Patingtung Arts Banten Indonesia
Authors: Jaka Wijaya Kusuma Et al.
Published: January 2024

Purpose: This study aims to find out how students' ability to understand mathematical concepts after being given ethnomathematics learning and to find out the increase in students' mathematical understanding abilities after being given ethnomathematics learning to class IXB students of Mts mathla'ul falah siremen.

Methodology: This research is a descriptive qualitative research. Data collection techniques used were observation, distributing questionnaires, interviews, and testing students' ability to understand mathematical concepts. The research instrument used was an interview sheet with the leadership of Debus Surosoan and students and a test of students' ability to understand mathematical concepts. The analysis technique used in this study is the analysis of the results of the observation sheet, analysis of the results of interviews with the head of Padepaokan Debus Surosoan and students, and analysis of the test results for students' ability to understand mathematical concepts using the N gain test. Description analyst to find out the increase in the understanding of mathematical concepts of Class IXB students at Mts mathla'ulfalah siremen.

Results: The results of the study stated that after learning about ethnomathematics in geometrical learning, namely tubes, there was an increase of 24% from the test results of the application of ethnomathematics in the arts of debus and patingtung, from the results of the N gain test the increase was declared ineffective because it had a less accumulated percentage of 40% which is only 36%.

Conclusion: Increased mathematical comprehension ability of students after being given learning Ethnomathematics has increased, learning using the Debus and Patingtung ethnomathematical approaches in terms of the results of trials to get the accumulated scores of students after learning with an ethnomathematical approach has increased by 24% with pretty good criteria so that learning with the Debus and Patingtung ethnomathematical approaches is quite well used in mathematics learning in the classroom.
Analysis of Dynamic Knowledge Graph Construction and Clustering for Effective Knowledge Management in Machine-to-Machine Communication
Authors: Ganesh S. Pise Et al.
Published: January 2024

An era of interconnected devices that exchange data has emerged due to machine-to-machine (M2M) communication, a key component of the Internet of Things (IoT). This study explains how dynamic knowledge graph construction improves knowledge management in M2Mcommunication networks. In M2M communication, devices continuously generate and exchange data, creating a complex and dynamic information network. A dynamic knowledge graph is a promising solution for managing and addressing this level of complexity. The knowledge graph evolves in real time to capture M2M network relationships, entities, and data flows. M2M communication with dynamic knowledge graphs has many benefits. It begins with a broad overview of network components and their relationships. The structured format helps understand and make decisions by representing devices, their attributes, and their contextual relationships. The knowledge graph can also scale easily to support the rapid growth of devices and data in M2M networks. A dynamic knowledge graph lets M2M networks route data intelligently. Context-aware decisions reduce latency and improve network efficiency. The knowledge graph helps M2M networks detect and analyze anomalies and patterns. Detecting deviations from expected behavior improves security and proactive network maintenance, ensuring its integrity and reliability. Efficient knowledge management requires dynamic knowledge graphs in M2M communication networks. The data used for the proposed work is collected from the World Wide Web Consortium (W3C). It provides valuable insights into using technologies to improve learning and knowledge management. The dataset is comprehensive and useful for studying dynamic knowledge graphs and clustering in M2M. This enhances M2M networks' reliability and intelligence in the IoT era..
Harnessing the Power of Multimodal Data: Medical Fusion and Classification
Authors: Bhushan Rajendra Nandwalkar Et al.
Published: January 2024

In the field of medical diagnosis, combining different types of information like text, images, and audio is a big step forward in making patient assessments more accurate. This research introduces an innovative method to bring together and categorize these different types of data. This method fills an important gap in current research [50, 54]. Proposed approach focuses on turning each type of data—text, images, and audio—into useful numbers. Text data is processed to extract meaning and context, while images are analysed using advanced computer techniques to capture important visual details. We also carefully examine audio data to extract important sound features, which is often overlooked but can be a valuable source of diagnostic information [48]. What makes our method special is how we combine these different types of data. We designed a strategy to blend these diverse sets of numbers into a single, enriched representation. This approach keeps the unique characteristics of each data type intact while harnessing their combined power for diagnosis [22, 29]. After combining the data, we use a well-chosen classification model that's known for its ability to make sense of complex data, especially in medical diagnosis scenarios [67, 71]. Proposed approach is rigorously assessing our method using a set of strong metrics that measure not only how accurate it is but also how reliable and valid it is for diagnosis [90, 94]. The results of this study mark a significant step forward in the field of combining different types of data, showing how it can greatly improve medical diagnosis. This method has the potential to revolutionize healthcare, enabling more precise and comprehensive data-driven decisions [143, 156].
Development of Opto-Electronic Free Space Optics Rain Attenuation Mathematical Model with Optisystem for Topological Optical link Analysis
Authors: S. Selva Nidhyananthan Et al.
Published: January 2024

The major obstacle in free space optics FSO is how the data penetrates atmospheric attenuation disturbances like rain, fog, dust storms and snow. The performance of FSO communications is greatly influenced by how one can choose the desired modulation technique. The proposed FSO circuit is designed with a free space range stretching up to 1.85 km. Even though it covers a small radius, we can implement this technique in areas where installing fiber optic cables is impractical.  The goal of the proposed work is to use this system to create a new rain attenuation model TSNGH for our region with current rainfall data. For analysis of the FSO circuit under rain attenuation conditions, different kinds of experiments and calculations are carried out with the Optisystem software. With the help of the performance measures; Q factor and BER are evaluated and improved results are accomplished.
A Novel Chaos-Based Encryption Algorithm for Secure Communication Systems
Authors: Ambhaikar Asha
Published: January 2024

Data transmission security is of the utmost importance in many fields and industries, including healthcare, finance, military activities, and more. By capitalizing on the intrinsic unpredictability of chaotic systems, Dynamic Chaos Cipher overcomes the shortcomings of current encryption technologies, rendering it an essential answer for safeguarding contemporary communication. Modern cyber threats are becoming increasingly sophisticated, making it difficult for conventional encryption approaches to keep ahead. In an effort to address these issues and provide resilience against ever-changing attack vectors, Dynamic Chaos Cipher introduces dynamic parameters rooted in chaos theory. The algorithm is more secure because chaotic systems are inherently complicated and unpredictable. The Dynamic Chaos Cipher-Based Encryption Algorithm (DCC-EA) described in this paper uses a novel key generation technique based on chaos that adapts in real-time over conversations. The approach improves the nonlinearity and unpredictability necessary for secure encryption by generating pseudo-random sequences using chaotic maps with carefully selected initial conditions. To prevent attacks that target static cryptographic keys, the key is dynamic. Among the many fields that can benefit from DCC-EA's adaptability is the transfer of sensitive medical data, financial transactions, and military communications. Its adaptability to changing parameters makes it a good fit for mission-critical systems in the real world and guarantees strong security for a wide range of uses. Data confidentiality and integrity are well maintained by DCC-EA, according to extensive simulation analyses. The algorithm's robustness and effectiveness in comparison to more conventional encryption approaches are shown through extensive testing against a wide range of attack scenarios. Results from the simulation show that DCC-EA can successfully secure critical data in ever-changing communication settings.
Optimizing Communication Systems with Applied Nonlinear Analysis Techniques
Authors: Pawan Arunkumar Upadhye Et al.
Published: January 2024

The introduction of applied nonlinear analytic techniques is a disruptive force in the field of modern communication systems, revolutionising the methodology for system optimisation. This investigation into nonlinear approaches provides a deep grasp of the complex dynamics in communication networks and opens a realm beyond the confines of conventional linear models. This paper has become a beacon, illuminating the potential of nonlinear optimisation to tackle issues inherent in linear frameworks by exploring the intricacies of nonlinear systems. Nonlinear analytic integration has impacted concrete implementations in various communication domains, surpassing theoretical limitations. The application of nonlinear optimisation has produced robust error correction schemes, optimised signal processing algorithms, and adaptive modulation techniques that can dynamically adapt to the unpredictable network landscape. These innovations span wireless and optical communication, error correction coding, and adaptive modulation techniques. But there are obstacles on this journey of transformation. Implementation challenges in real-time and computational complexity still exist. However, communication systems strengthened by nonlinear analysis have a bright future ahead of them. With new technologies like artificial intelligence (AI) and machine learning positioned to be powerful partners that may accelerate and simplify nonlinear optimisation, the field of communication systems seems set for a period of intelligent, responsive, and adaptive networks. In conclusion, a new age for communication systems is being heralded by the integration of applied nonlinear analytic techniques, which promises resilience, efficiency, and adaptability. With new technologies and methods emerging to overcome obstacles, it seems that communication systems will continue to evolve in the future, ushering in a new era of network architecture.
Navigating Tomorrow Non-Linearly: A Holistic Exploration of Smart and Secure EV Charging Infrastructure in Parking Facilities
Authors: Sohel Bhura Et al.
Published: January 2024

Amidst the revolutionary transition to environmentally friendly transportation via electric cars (EVs), this research explores the complexities of guaranteeing a future in which intelligent and safe EV charging infrastructure is essential. Against the backdrop of India's changing energy landscape, the study examines the critical requirement for reliable EV charging stations. In light of the liberalization, privatization, and proliferation of renewable energy sources, the research thoroughly assesses the commercial feasibility of electric vehicles. Analyzing the function of aggregators in managing EV charging and offering additional grid services, the study faces both market-driven and governmental barriers. The strategic positioning of electric vehicle charging stations is crucial in tackling issues like battery costs, economic volatility, and complicated integrations. The suggested system develops gradually, adding crucial security elements like socket security, extra authentication levels, and Wi-Fi management. The hardware implementation creates a reliable and user-friendly charging environment by utilizing parts like Arduino, NodeMCU, and other security features. Many benefits are anticipated by the study, such as improved utility customer relations, a large-scale installation of charging stations, cost savings for EV drivers and station owners via demand response programs, and improved electricity planning made possible by data from EV charging infrastructure. As the study draws to a close, it emphasizes how crucial safe charging locations are to the general uptake of electric vehicles. The complete plan that is being presented tackles the plethora of opportunities and difficulties that are present in the Indian EV charging market, providing light on the way to a safe and sustainable future.
Applying Grading on Degree of Disc Damage Scaling Method to Assess Risk Stages of Glaucomatous Eye at Optic Cup and Disc Segmentation
Authors: V. Satya Aruna Et al.
Published: January 2024

In general, the visual information will be  extracted and transferred by Optic Nerve Head from normal eye to brain. The process is very common in healthy eyes. The gradual damages and age related degeneration causes to the development of Primary Open Angle Glaucoma (POAG) at Optic Nerve Head(ONH). The formation of optic cup segmentation with in the optic disc  and also the structure of the  neuroretinal rim will cause to glaucomatous eye. The huge collection of optic fiber nerves act as a  network  system which is called Optic Nerve Head. The neuroretinal rim along with optic cupping with in the disc will be created automatically where ever weak optic nerves are becoming inactive. It is clear that the thick rim is common in any healthy eye , but the gradual change in to thin structure causes to glaucomatous eye. The degree of the risk factor and the percentage of damage level will be observed with gradual changes in the healthy eye to transform in to Glaucomatous eye. In this paper, we measure various disk damage risk factors by considering the current structure of  narrowest rim width and how it is located and placed in between disc and cup. The measurement on Grading of Degree on Disc Damage(GD3) method is to assess primary open angle glaucoma.
Mathematical Modeling and Statistical Analysis of Efficient Cluster Head Selection Based LEACH Protocol for Wireless Sensor Networks
Authors: Amit Gupta Et al.
Published: January 2024

The collection of data from the physical environment, such as temperature and humidity readings, is an essential function of Wireless Sensor Networks (WSNs). Because of its ability to communicate data wirelessly, WSNs are crucial for connecting the digital and physical worlds. Nevertheless, WSN energy efficiency optimization has become a more complicated challenge because of their battery dependency and deployment in adverse locations. The emphasis of this research is the Improved Low-Energy Adaptive Clustering Hierarchy (ILEACH) protocol, which is used as an example of a mathematics-driven strategy to improve WSN energy efficiency. To tackle important problems with energy consumption and network lifetime, mathematical modelling and equation-based analysis are used to study and enhance ILEACH's performance. Particularly in faraway places with few resources, energy efficiency is of the utmost importance when discussing WSNs. This study's mathematical models explore the equations and probability distributions that control the lifetime, energy consumption, and behaviour of sensor nodes. Our goal is to shed light on the energy optimization processes of ILEACH by means of thorough mathematical analysis and derivations. Our method incorporates both theoretical modelling and empirical assessments of ILEACH's cluster head formation, throughput, and network performance as a whole. Our comparison of the mathematical formulations of ILEACH and LEACH shows that our Improved LEACH is better in terms of data throughput, network lifetime, and energy efficiency. Using a figure of merits criterion, we compare LEACH, ILEACH, and the proposed Improved LEACH in detail to help with decision-making and protocol selection. With its solid mathematical groundwork, this study is a great tool for improving the efficiency of WSNs' energy-saving algorithms, which in turn can help networks last longer and run better.
Nonlinear Optimization Techniques for Signal Processing
Authors: Kloucha Mohammed Kada
Published: January 2024

Signal processing plays a crucial role in modern technology, from communication systems to image and audio processing. This article delves into the applications of nonlinear optimization techniques in signal processing. It discusses the mathematical foundations, methodologies, and real-world applications of nonlinear optimization, emphasizing its significance in enhancing signal quality, improving performance, and enabling innovative applications.
Nonlinear Analysis of Biological Systems: From Cells to Ecosystems
Authors: Ioannis K. Argyros Sadek Habani,
Published: January 2024

The study of biological systems involves complex interactions and nonlinear behaviors. This article explores the applications and significance of nonlinear analysis in understanding biological systems, ranging from cellular dynamics to ecosystem-level interactions. We delve into mathematical foundations, methodologies, and real-world applications that highlight the pivotal role of nonlinear analysis in unraveling the mysteries of life.
Kepastian Hukum Penggunaan Bea Meterai Dalam Surat Perjanjian
Authors: Wulandari Vicka Prama
Published: January 2024

Secara umum, setiap surat perjanjian memiliki materai. Masyarakat Indonesia biasanya menggunakan materai untuk menentukan apakah suatu perjanjian itu sah atau idak. Hal ini dikarenakan banyak orang yang tidak memahami fungsi bea materai dalam surat perjanjian, masyarakat tidak memahami apakah surat perjanjian yang tidak dilengkapi dengan materai dapat dinyatakan sah, dan masyarakat tidak memahami bagaimana cara mengamankan kekuatan hukum dari suatu surat perjanjian yang dilengkapi dengan materai apabila terjadi sengketa pengadilan. Selain itu ada juga masyarakat yang tidak mau memenuhi janjinya sebagaimana yang telah dituangkan dalam perjanjian yang telah dibuat dengan alasan perjanjian yang dibuat itu tidak sah karena tidak ada materainya. Oleh karena hal diatas dan berdasarkan uraian tersebut maka kedudukan bea materai dalam memberikan kepastian dalam surat perjanjian harus jelas dan bagaimana implikasi hukumnya di masyarakat. Metode penelitian yang digunakan adalah penelitian normative yang memfocuskan untuk mengetahui, mendeskripsikan, menganalisis dan membuktikan berkaitan dengan kedudukan bea materai dalam memberikan kepastian dalam surat perjanjian.
Ghadi, Bébé, Rabih, and By Chance: Disability as a Narrative Device in Lebanese Cinema (2010–2019)
Authors: Jreijiry Roy , Dreij Carla
Published: January 2024

Disability is not a subject that is often covered in contemporary Lebanese cinema, despite a few initiatives taking place in the past decade. This article analyses the representations of characters with disabilities in four Lebanese films: Ghadi (2013), Bébé (2013), Rabih or Tramontane (2016), and By Chance or Bel Sodfé (2019). The study reveals that these films oscillate between critiquing societal norms and state policies, covering the disability from a medical standpoint, and normalizing disability. Additionally, the films underscore the significant role played by families in caring for disabled individuals in Lebanon. The study also highlights how the portrayal of disability was exaggerated when played by able-bodied actors but was more understated and sometimes excessively normalized when the actors had real-life disabilities. Finally, the article argues that taking intersectional identity into account can lead to more nuanced and diverse conclusions about the representation of disability in Lebanese cinema.
Disentangling Population Health Management Initiatives in Diabetes Care: A Scoping Review
Authors: Geurten Rose J. , Struijs Jeroen N. , Bilo Henk J. G. , Ruwaard Dirk , Elissen Arianne M. J.
Published: January 2024

Introduction: Population Health Management (PHM) focusses on keeping the whole population as healthy as possible. As such, it could be a promising approach for long-term health improvement in type 2 diabetes. This scoping review aimed to examine the extent to which and how PHM is used in the care for people with type 2 diabetes.
Methods: PubMed, Web of Science, and Embase were searched between January 2000 and September 2021 for papers on self-reported PHM initiatives for type 2 diabetes. Eligible initiatives were described using the analytical framework for PHM.
Results: In total, 25 studies regarding 18 PHM initiatives for type 2 diabetes populations were included. There is considerable variation in whether and how the PHM steps are operationalized in existing PHM initiatives. Population identification, impact evaluation, and quality improvement processes were generally part of the PHM initiatives. Triple Aim assessment and risk stratification actions were scarce or explained in little detail. Moreover, cross-sector integration is key in PHM but scarce in practice.
Conclusion: Operationalization of PHM in practice is limited compared to the PHM steps described in the analytical framework. Extended risk stratification and integration efforts would contribute to whole-person care and further health improvements within the population.
Pensar el patrimonio afrodiaspórico en los museos chilenos. Perspectivas sobre la puesta en orden y la puesta en escena de objetos y cuerpos decolonizados
Authors: Carmona Javiera
Published: January 2024

La cultura material y las visualidades ligadas al componente afrodescendiente de los museos estatales y universitarios de Chile persisten en su invisibilización para la sociedad en general debido a las prácticas museológicas disociadas de los ámbitos de la reflexión sobre la desigualdad estructural racializada (activismos, academia y políticas públicas). Se caracterizan los patrimonios afrodiaspóricos disponibles en los museos públicos chilenos en diálogo con las tendencias decolonizadoras en los museos occidentales para luego ofrecer un mapeo inicial de las piezas que componen este patrimonio, que cuestionan el modelo teórico hispano-indígena que guía el orden clasificatorio y el complejo expositivo de los museos cuando la problemática categoría afroindígena cobra protagonismo.
Rechazar la abolición, defender la paz doméstica: un bosquejo de las mujeres esclavistas en Santiago de Chile (1811-1823)
Authors: González Undurraga Carolina , Araya Fuentes Tamara
Published: January 2024

A propósito de una representación elevada en 1823 a Ramón Freire por varias madres de familia para derogar la recién sancionada abolición de la esclavitud, este artículo indaga en las mujeres esclavistas, propietarias de personas esclavizadas, por medio de documentación notarial y judicial de la ciudad de Santiago de Chile en el contexto de los debates sobre el fin de la esclavitud en Chile, entre 1811 y 1823. El presente artículo, por lo tanto, describe uno de los episodios que dan cuenta del rechazo a la abolición de la esclavitud para, luego, abrir un análisis tentativo que lo sitúa considerando las complejas relaciones entre las prácticas comerciales de mujeres esclavistas y el trabajo doméstico esclavizado (servidumbre).
Tramar el tiempo, recuperar la experiencia.El quehacer de la dramaturgia en el teatro
Authors: Barría Mauricio
Published: January 2024

El artículo propone una consideración de las prácticas dramatúrgicas desde un marco performativo. A partir de aquello, se entiende la dramaturgia como una forma de materialización del tiempo a través del cual se construye una experiencia en el espectador. Esta consideración afecta no solo la práctica propiamente tal sino el modo de estudiarla y analizarla. El texto, estructurado en cinco partes, avanza desde un análisis propiamente disciplinar, funcionando como una continuación de la reflexión en torno al problema de la dramaturgia, hacia una reflexión filosófica sobre el tiempo y la experiencia, permitiendo, a su vez, la resignificación de la categoría performatividad por fuera del problema exclusivamente escénico.
Dificultades de regulación emocional y motivos de afrontamiento y mejora: Factores predictores relacionados con el uso de alcohol en estudiantes de sexto de secundaria
Authors: March Samanta Mabel , Díaz-Lammertyn Paola , Genari-Dippert Marilina , Damián-Gutierrez Diego Pablo
Published: January 2024

El inicio en el consumo de alcohol se produce generalmente en la adolescencia. El consumo de alcohol en esta etapa es considerado de riesgo, ya que puede traer diversos problemas para la salud. Los motivos del consumo de alcohol y las dificultades para regular las emociones han sido asociadas con el desarrollo de problemas debido al uso de alcohol. Objetivo: evaluar las dificultades en la regulación emocional, los motivos de afrontamiento y mejora como predictores de los problemas relacionados con el uso de alcohol. Adicionalmente, el estudio tuvo como objetivo describir los problemas relacionados con el uso de alcohol en esta muestra. Método: la muestra estuvo conformada por 332 estu-diantes de 16-19 años de la ciudad Córdoba y aledaños, en Argentina. Cuestionarios: Escala de Dificultades en la Regulación Emocional (DERS); Cuestionario de Identificación de Problemas Relacionados con el Uso de Alcohol (AUDIT) y Cuestionario de Motivos de Consumo de Alcohol, versión corta (DMQ-R SF). Análisis: se realizaron análisis descriptivos, correlaciones bivariadas y análisis de regresión múltiple. Resultados: los puntajes totales del AUDIT correlacionaron de forma positiva con DERS total y motivos de afrontamiento y mejora. Las dificultades en el control de impulsos (DERS) y los motivos de afrontamiento y mejora (DMQ-R SF) explicaron el 25% de la varianza en el puntaje total del AUDIT. Conclusiones: estas variables tienen potencial importancia a la hora de diseñar inter-venciones de prevención y tratamiento del consumo de riesgo y trastornos por consumo de alcohol.
Historias previas al primer Curso Especial de Psicología en Chile (1947)
Authors: Parra Moreno Diego
Published: January 2024

Este artículo examina el devenir sociohistórico del primer plan de estudios del Curso Especial de Psicología, que inició el año 1947 en la Facultad de Filosofía y Educación de la Universidad de Chile. Mediante un análisis socio-institucional de fuentes primarias y secundarias se evidencia cómo el proyecto del Estado Docente en Chile generó un desarrollo del sistema educativo universitario que propició la búsqueda, recepción y propagación del saber psicológico foráneo (germánico, anglófono y francófono) a fines del siglo XIX y durante la primera mitad del siglo XX, lo que se consolidó con un proceso de formación especializada en la materia y posterior formalización de la carrera de Psicología, iniciándose, de este modo, la construcción de un nuevo sujeto profesional en la escena na-cional.