In the contemporary landscape of public procurement, organizations face increasing complexities in managing procurement and vendor payment processes. This project focuses on developing a real-time procurement and vendor payment management system for North Eastern Electric Power Corporation Limited (NEEPCO), leveraging modern web technologies, including React, Node.js, Express, and SQL. The proposed system aims to centralize and automate the procurement lifecycle, enhancing operational efficiency, transparency, and compliance with government regulations. By integrating with the Government e-Marketplace (GeM), the system facilitates seamless (...) procurement from Micro and Small Enterprises (MSEs), promoting inclusivity and economic participation. The procurement data portal will provide real-time tracking of all procurement activities, from requisition to delivery, while automating workflows to reduce manual intervention and errors. The vendor payment portal will streamline payment processes, ensuring timely payments and realtime updates for vendors, thus fostering stronger relationships. Additionally, advanced analytics will be integrated into the system, enabling data-driven decision-making and improved financial management. The expected outcomes include reduced procurement cycle times, improved compliance, and enhanced vendor satisfaction. By addressing the challenges inherent in traditional procurement methods, this project will contribute significantly to NEEPCO's operational efficiency. Ultimately, the system aims to set a benchmark for procurement practices in the public sector, reinforcing the importance of adopting modern technologies to meet the demands of a dynamic marketplace. (shrink)

The AWSAR Job Portal is developed to provide job seekers with a platform to register, log in, and apply for jobs with ease. The purpose of this project was to create a full-stack web application, ensuring smooth user experience and addressing common challenges such as responsiveness and compatibility across browsers. The project used technologies like React.js, Tailwind CSS for frontend development, and Node.js with Express.js for backend management. MongoDB was implemented for database storage. The key challenge faced was the (...) unresponsiveness of the 'Apply to a job' button post-login, which was successfully resolved through code optimization. This manuscript discusses the system's architecture, methodology, issues encountered, and future enhancements. (shrink)

Enhanced E-auction Platform is an innovative online bidding system designed to bring the excitement of live auctions directly to users’ homes. Leveraging cutting-edge technologies such as React, Node.js, and MongoDB, Enhanced E-auction Platform offers a user-friendly platform that enables real-time bidding, strategic auction previews, determining suitable roles and seamless auction item management. Users can experience the thrill of competitive bidding and win extraordinary items from the comfort of their own space. Enhanced E-auction Platform’s advanced features ensure a dynamic and (...) engaging auction environment, setting it apart from traditional auction platforms. (shrink)

The research introduces to the design and implementation of the Cybersecurity Enabled Smart Controller for the grid connected microgrid which uses the combination of the Web technologies and the authentication mechanism which enables real time monitoring with help of the Dashboards built using Chart.js which is a framework of JavaScript. Due to the role and connection of the Microgrids with the critical infrastructure they are vulnerable to the cyber threats. This project leverages the use of HTML, CSS, JavaScript and MongoDB (...) to create a secure and responsive system ensuring the operational resilience and data integrity. By focusing on simplicity the project uses user friendly dashboard for monitoring the microgrid data , controlling the grid crafted with HTML, CSS and JavaScript allowing the users to visualize the performance metrics using Chart.js for real time data representation. This methodology focuses on creating secure communication channels which enables effective data management through MongoDB providing a responsive experience on the web application. This approach allows users to monitor grid operations continuously and the access management effectively. The findings focused on creating a user friendly interface using the HTML, CSS, JavaScript which give users the access to monitor and control microgrid operations seamlessly. Utilizing the Chart.js enabled the users to visualize real time performance metrics which enables the operators to make decisions quickly addressing operational efficiencies. This paper proposes a role-based access control system (RBAC) to protect and manage the smart controller of a grid-connected microgrid. The design integrates a login page developed with HTML, JavaScript, and MongoDB for authentication and user management, with three distinct roles: Admin, Power Operator, and User. Each role has access to specific functions in the dashboard, reflecting their respective permissions. The backend was implemented using Node.js and Express to monitor network traffic, detect potential threats, and prevent unauthorized operations. The results demonstrate that the system provides effective protection against cyber threats while ensuring that different users can access the functionalities appropriate to their roles. (shrink)

his project focuses on developing a community-based water monitoring and conservation tool. The system allows users to track daily water consumption, receive real-time feedback on usage, and view eco-friendly tips. It integrates data visualization and eco-points for promoting conservation behavior. Built using node js, JavaScript, and Chart.js, this platform encourages users to reduce water consumption and share their achievements. The goal is to foster community engagement and sustainable water usage practices, addressing the global concern of water scarcity.

This project aims to provide a comprehensive placement preparation platform designed for college campus placements, utilizing a modern tech stack to deliver a robust and efficient solution. Built with Node.js and integrated with MySQL Workbench for database management, this web application centralizes critical resources such as company-specific interview experiences, placement materials, preparation roadmaps, and eligibility criteria. Students can create an account and log in to access these resources, ensuring they have organized and up-to-date information to guide their preparation. With (...) its efficient backend powered by Node.js and structured data storage in MySQL, the platform delivers a seamless and responsive user experience. By addressing common challenges in placement preparation—fragmented information access, outdated resources, and lack of guided preparation paths—this application provides a centralized, user-friendly solution to enhance students' readiness and increase their chances of success in campus recruitment efforts. (shrink)

. The concept of Prakriti, derived from Ayurveda, is a unique blend of physical, physiological, and psychological attributes that determine an individual's constitution. Understanding one's Prakriti is essential for personalized health recommendations, lifestyle adjustments, and preventive healthcare strategies. This app helps us to know the food consumptions you need to take according to your body conditions for better health. In this app we used node js as backend and react js as our front end. We also used html css for (...) app user interface. Existing methods for Prakriti determination rely on questionnaires, direct consultations with Ayurvedic practitioners, and physical examinations. These methods can be time-consuming, subjective, and inaccessible to a wider audience. We propose a novel chatbot solution that leverages artificial intelligence to determine an individual's Prakriti. The chatbot, designed with natural language processing capabilities, interacts with users to gather information about their physical attributes, habits, and mental state. (shrink)

Job portals centralize a variety of opportunities and pair qualified people with openings, revolutionizing the job search process. By providing resources for CV development, career counseling, and planned career growth, they enable job seekers. They optimize the employment process for organizations by providing insights about market trends and recruitment techniques. Job portals encourage diversity and inclusivity by giving people from different backgrounds equal access to possibilities. The authors of this work have presented an online recruiting system architecture that enables companies (...) to submit job adverts, which job seekers can access and use in their job search. The job criteria on this portal might be recorded according to the demands of the sector. (shrink)

Patient centred diagnosis is best practised through shared decision making; an iterative dialogue between doctor and patient, whichrespects a patient’s needs, values, preferences, and circumstances. -/- Shared decision making for diagnostic situations differs fundamentally from that for treatment decisions. This has important implications when considering its practical application. -/- The nature of dialogue should be tailored to the specific diagnostic decision; scenarios with higher stakes or uncertainty usually require more detailed conversations.

A carne bovina é uma das proteínas mais consumidas no mundo, favorecendo o comércio exterior. O Brasil é um dos grandes exportadores desse produto, o que leva à importância de buscar meios para se obter maior eficiência reprodutiva e produtiva. Dentre esses métodos, o uso de Inseminação Artificial em Tempo Fixo (IATF) vem aumentando e com isso vem a busca por estratégias para alcançar melhores taxas de prenhez. Uma estratégia é avaliar a nutrição do animal em conjunto com a condição (...) corporal. Assim a proposta desse trabalho é verificar a influência do Escore de Condição Corporal (ECC) na taxa de prenhez em vacas Nelore submetidas à IATF. O estudo foi realizado em propriedade particular no município de Cacoal, Rondônia, com 150 vacas da raça Nelore, multíparas, com idade média de 5 anos, submetidas ao manejo de pastejo semi-intensivo. Foram separados dois grupos sendo, grupo A: 75 vacas com escore ≥ 3,0 e grupo B: 75 matrizes com escore ≤2,5. Ambos passaram pelo mesmo protocolo farmacológico, dividido em três etapas (D0, D8 e D10). A inseminação artificial foi realizada no D10 e após 30 dias as vacas dos dois grupos passaram pelo diagnóstico de gestação, por ultrassonografia. Os resultados demonstraram que a taxa de prenhez do grupo A (68%) foi maior que a do grupo B (40%), sendo relevante a preocupação com o ECC de vacas Nelore em protocolos de IATF. (shrink)

Purpose – The purpose of the research reported here is to improve comprehension of the socially-negotiated identity of concepts in the domain of knowledge organization. Because knowledge organization as a domain has as its focus the order of concepts, both from a theoretical perspective and from an applied perspective, it is important to understand how the domain itself understands the meaning of a concept. Design/methodology/approach – The paper provides an empirical demonstration of how the domain itself understands the meaning of (...) a concept. The paper employs content analysis to demonstrate the ways in which concepts are portrayed in KO concept maps as signs, and they are subjected to evaluative semiotic analysis as a way to understand their meaning. The frame was the entire population of formal proceedings in knowledge organization – all proceedings of the International Society for Knowledge Organization’s international conferences (1990-2010) and those of the annual classification workshops of the Special Interest Group for Classification Research of the American Society for Information Science and Technology (SIG/CR). Findings – A total of 344 concept maps were analyzed. There was no discernible chronological pattern. Most concept maps were created by authors who were professors from the USA, Germany, France, or Canada. Roughly half were judged to contain semiotic content. Peirceian semiotics predominated, and tended to convey greater granularity and complexity in conceptual terminology. Nodes could be identified as anchors of conceptual clusters in the domain; the arcs were identifiable as verbal relationship indicators. Saussurian concept maps were more applied than theoretical; Peirceian concept maps had more theoretical content. Originality/value – The paper demonstrates important empirical evidence about the coherence of the domain of knowledge organization. Core values are conveyed across time through the concept maps in this population of conference papers. (shrink)

In this paper I offer a unified causal account of natural kinds. Using as a starting point the widely held view that natural kind terms or predicates are projectible, I argue that the ontological bases of their projectibility are the causal properties and relations associated with the natural kinds themselves. Natural kinds are not just concatenations of properties but ordered hierarchies of properties, whose instances are related to one another as causes and effects in recurrent causal processes. The resulting account (...) of natural kinds as clusters of core causal properties that give rise to clusters of derivative properties enables us to distinguish genuine natural kinds from non-natural kinds. For instance, it enables us to say why some of the purely conventional categories derived from the social domain do not correspond to natural kinds, though other social categories may. (shrink)

This paper introduces a conceptual framework, denoted as ‘Line Theory,’ which is predicated on the procedural anatomy inherent in ordinary plans. A plan, recognized as a set of instructions for execution, undergoes in-depth scrutiny to analyze its constituent elements. The concise examination delves into the formation of line and effect within real space stemming from procedures. Line theory serves the purpose of elucidating the absolute optimization of plans. It is formulated to inaugurate an exploration into the veracity of procedures and (...) their elemental changes, examining their correlation with space and motion at the most fundamental level. The scientific community has extensively delved into the examination of the behavior and structure of objects at the microscopic level. This paper endeavors to stimulate interest in the analogous analysis of procedures. The fundamental objective within this theoretical framework is to offer a distinct philosophical perspective on changes and effects. (shrink)

Wireless Sensors Network is a novel field shows tremendous application potential. To monitor the environmental parameters of high-tech polyhouse the Wireless Sensors Network (WSN) is developed. The heart of this ubiquitous field is the Wireless Sensor Node. Moreover, the field of microcontroller based embedded technology is innovative and more reliable. Therefore, based on an embedded technology and the RF module Zigbee a wireless senor node is designed about highly promising AVR ATmega8L microcontroller and implemented for WSN development. Recently, the modern (...) agriculturists are demanding sophisticated instrumentation for measurement and control of environmental parameters of the polyhouse. To enhance crop yield one has to provide controlled environment to the crop. The humidity is important parameter, which plays vital role on the crop yield. Therefore, a Wireless Sensors Network (WSN) is designed and implemented for monitoring of humidity of polyhouse and the results of implementation are interpreted in this paper. (shrink)

This paper attempts to open the debate on the idea of local and territorial development of microregional nodes in the Province of Buenos Aires. Under this approach, a model that proposes the creation of Municipal Development Forum, with the participation of local actors, generate local development program is proposed. The proposal is formulated for territories over 5,000 and below 30,000 inhabitants. This criterion is based on the applicability of the proposed model to municipalities with potential for territorial development, large and (...) balanced internal consumption, but where progress is hindered by the proximity of one or two political jurisdictions of a larger productive scale that have became regional administrative centers. The development program will consider a diagnosis of the productive profile of the territory and its relationship with the characteristics and origin of goods or services consumed at the municipality. This territorial development model aims to move towards self-sufficiency on goods and services, to create new jobs and to promote effective and efficient use of local resources. In short, we propose to tackle territorial development from an innovative perspective, focusing on the creation of Municipal Development Fora that foster the improvement and growth of the productive system, the creation of jobs, local identity and the consumption of goods and services locally produced. (shrink)

The objective of the paper is to critically explicate the views of JS Mill in his "Utilitarianism" in regards to his efforts to clarify the concept of utilitarianism. In the first part of the paper it examined how successful was Mill in clarifying the idea of utilitarianism. In the second part of the paper, a critical discussion is presented to justify the applicability of his theory in dealing with contemporary moral dilemmas.

Metaphysical graphical structuralism is the view that at some fundamental level the world is a mathematical graph of nodes and edges. Randall Dipert has advanced a graphical structuralist theory of fundamental particulars and Alexander Bird has advanced a graphical structuralist theory of fundamental properties. David Oderberg has posed a powerful challenge to graphical structuralism: that it entails the absurd inexistence of the world or the absurd cessation of all change. In this paper I defend graphical structuralism. A sharper formulation, some (...) theorems about such structures, and careful attention to the interaction of metaphysical and mathematical features, shows that the absurdities depend on assumptions that are not essential to the view and brings to light a surprising fact about the necessary structure of fundamental properties. (shrink)

Right-node raising of anaphors and bound pronouns out of coordinations, as in "Every student likes, and every professor hates, himself / his neighbors" is judged more acceptable in German and Dutch than in English. Using combinatory categorial grammar, this paper ties the cross-linguistic difference to the fact that German and Dutch are V-2 languages, and V-2 necessitates a lifted category for verbs that automatically caters to the right-node raised duplicator. The same lifted category is optionally available in English, but it (...) is not needed for independent syntactic purposes. (shrink)

Exactly how do the sign/symbol/token systems of endo- and exo-biosemiosis differ from those of cognitive semiosis? Do the biological messages that integrate metabolism have conceptual meaning? Semantic information has two subsets: Descriptive and Prescriptive. Prescriptive information instructs or directly produces nontrivial function. In cognitive semiosis, prescriptive information requires anticipation and “choice with intent” at bona fide decision nodes. Prescriptive information either tells us what choices to make, or it is a recordation of wise choices already made. Symbol systems allow recordation (...) of deliberate choices and the transmission of linear digital prescriptive information. Formal symbol selection can be instantiated into physicality using physical symbol vehicles (tokens). Material symbol systems (MSS) formally assign representational meaning to physical objects. Even verbal semiosis instantiates meaning into physical sound waves using an MSS. Formal function can also be incorporated into physicality through the use of dynamically-inert (dynamically-incoherent or -decoupled) configurable switch-settings in conceptual circuits. This paper examines the degree to which biosemiosis conforms to the essential formal criteria of prescriptive semiosis and cybernetic management. (shrink)

The main objective of our project is to construct a fully functional voice-based home automation system that uses the Internet of Things and Natural Language Processing. The home automation system is user-friendly to smartphones and laptops. A set of relays is used to connect the Node MCU to homes under controlled appliances. The user sends a command through the speech to the mobile devices, which interprets the message and sends the appropriate command to the specific appliance. The voice command given (...) by the user is interpreted by the mobile device using Natural Language Processing. The system utilizes a node microcontroller unit (Node MCU) as a Wi-Fi-based gateway to connect to the Google Assistant. It determines operation must be completed by which the appliance to fulfill the user’s request. The user increased mobile capabilities we will be using a smart phone in this project. A smartphone application as nearly all of the data transferred can be processed by cloud. The user increased mobile capabilities we will be using a smart phone in this project. The IoT -based system for home automation can easily and efficiently control appliances. The Node MCU is interfaced with the appliances and programmed in a manner that they respond to mobile inputs. (shrink)

Cílem článku je ukázat, že německá raná romantika, která položila filosofické základy romantického hnutí, nebere příklon k subjektivitě prožívání jako odklon od poznání, nýbrž jako jiný způsob poznání. Romantická niternost nachází svůj protějšek ve zkušenosti světa, jemuž umění dokáže propůjčit hlubší význam než racionální filosofie a věda. Tento nový pohled na poznání je romantiky použit jak na výklad přírody, tak duchovní lidské skutečnosti. Článek upozorňuje na to, že vedle dědictví spinozismu měla romantická epistemologie důležitý zdroj v některých úvahách Kantovy Kritiky (...) soudnosti. Tato vazba je sledována zvláště na příkladu filosofie umění F. W. J. Schellinga. Argumentace článku je rozvinuta v kritické konfrontaci se subjektivistickou interpretací romantiky H.-G. Gadamera, čímž se ozřejmuje její širší epistemologický dosah i aktuálnost. Návaznost německých romantiků na Kantovu Kritiku soudnosti se spíše než tendencí k subjektivizaci estetiky projevovala ve snaze o estetizaci poznání. (shrink)

The scope of the project encompasses the design, development, and implementation of AI-driven functionalities such as interest assessment, skill analysis, resume building, and personalized recommendations. The methodology involves data collection through user inputs, preprocessing of data for analysis, and the creation of a robust system architecture comprising frontend interfaces, backend servers, and database management. The implementation of the application involves a comprehensive technology stack, including Python for AI algorithms, TensorFlow for ML models, React.js for front end development, Flask for backend (...) services, and PostgreSQL for database management. (shrink)

In this paper, I ask whether mishpat ivri (Jewish Law) is appropriately conceived as a “legal system”. I review Menachem Elon’s use of a “Sources” Theory of Law (based on Salmond) in his account of Mishpat Ivri; the status of religious law from the viewpoint of jurisprudence itself (Bentham, Austin and Kelsen); then the use of sources (and the approach to “dogmatic error”) by halakhic authorities in discussing the problems of the agunah (“chained wife”), which I suggest points to a (...) theory more radical than the “sources” theory of law, one more akin to the ultimate phase of the thought of Kelsen (the “non-logical” Kelsen) or indeed to some form of Legal Realism (with which that phase of Kelsen’s thought has indeed been compared)? I finally juxtapose an account based on internal theological resources (a “Jurisprudence of Revelation”). Downloadable at at http://www.biu.ac.il/JS/JSIJ/jsij1.html. (shrink)

Zájem současné sociologie a dalších společenských věd o výzkumy spokojenosti a štěstí zatemňuje skutečnost, že původně právě sociologie chtěla „štěstí" poskytovat a nahrazovat tak náboženské přístupy ke světu. Tento implicitně nábo- ženský charakter je patrný i v rané české sociologii v dílech prvních propagátorů sociologie, jako byl především Emanuel Makovička, a později u některých následovníků a epigonů T. G. Masaryka, v meziválečném období zejména u Ladislava Kunteho, R. I. Malého, Alexandra Sommera-Batěka, Jindřicha Fleischnera a Jana Duška. Z hlediska vývoje české (...) sociologie šlo o zcela okrajové postavy, ačkoli mnohé z nich vynikly v jiných oblastech, jako celek jsou nicméně vyjádřením jednoho z aspektů dobových teoretických úvah o společnosti, jejím uspořádání a vývoji, na který by nemělo být zapomínáno. Zatímco T. G. Masaryka a pozdější akademické sociology „omezoval" vědecký charakter jejich práce, a i pokud směřovali k sociálnímu reformismu, oddělovali jej od teoretické sociologie, „sociologie vedoucí ke štěstí" nalezla plné uplatnění ve vizích a ambiciózních projek- tech těchto amatérských takésociologů - třebaže skončily faktickými nezdary nebo ani nedošly praktického naplnění, ostatně stejně jako v případě jejich pravzoru, Comtova pozitivistického apoštolátu. (shrink)

The Extended Evolutionary Synthesis (EES) debate is gaining ground in contemporary evolutionary biology. In parallel, a number of philosophical standpoints have emerged in an attempt to clarify what exactly is represented by the EES. For Massimo Pigliucci, we are in the wake of the newest instantiation of a persisting Kuhnian paradigm; in contrast, Telmo Pievani has contended that the transition to an EES could be best represented as a progressive reformation of a prior Lakatosian scientific research program, with the extension (...) of its Neo-Darwinian core and the addition of a brand-new protective belt of assumptions and auxiliary hypotheses. Here, we argue that those philosophical vantage points are not the only ways to interpret what current proposals to ‘extend’ the Modern Synthesis-derived ‘standard evolutionary theory’ (SET) entail in terms of theoretical change in evolutionary biology. We specifically propose the image of the emergent EES as a vast network of models and interweaved representations that, instantiated in diverse practices, are connected and related in multiple ways. Under that assumption, the EES could be articulated around a paraconsistent network of evolutionary theories (including some elements of the SET), as well as models, practices and representation systems of contemporary evolutionary biology, with edges and nodes that change their position and centrality as a consequence of the co-construction and stabilization of facts and historical discussions revolving around the epistemic goals of this area of the life sciences. We then critically examine the purported structure of the EES—published by Laland and collaborators in 2015—in light of our own network-based proposal. Finally, we consider which epistemic units of Evo-Devo are present or still missing from the EES, in preparation for further analyses of the topic of explanatory integration in this conceptual framework. (shrink)

Cloud computing (ClC) has become a more popular computer paradigm in the preceding few years. Quality of Service (QoS) is becoming a crucial issue in service alteration because of the rapid growth in the number of cloud services. When evaluating cloud service functioning using several performance measures, the issue becomes more complex and non-trivial. It is therefore quite difficult and crucial for consumers to choose the best cloud service. The user's choices are provided in a quantifiable manner in the current (...) methods for choosing cloud services. Hence, this study attempts to achieve this objective through construction. decision-making framework so-called cloud services evaluator (CSsEv). The main indicator and its sub-indicators are formed as nodes at levels(n) in tree soft sets (TSSs). Thereafter Single Value Neutrosophic Sets (SVNSs) as branch of neutrosophic sets which conjunction with the Multi-Criteria Decision Making (MCDM) technique to facilitate analysis and evaluation process for the available Cloud services providers. Hence, entropy is employed to obtain indicators and sub_indicators weights and Complex Proportional Assessment utilizes these weights to facilitate the decision process of selecting optimal ClSPs. (shrink)

Slavná kniha Elementární formy náboženského života francouzského sociologa Émile Durkheima je jedním z nejdůležitějších příspěvků k sociologii náboženství. Po řadu let byla vychvalována a citována, stejně jako kritizována a zavrhována. Kniha se stala chartou celé řady sociálně vědních badatelů, zejména těch, kteří se zaměřovali na studium společnosti a náboženství. V roce 1966 však vyšel článek amerického antropologa Clifforda Geertze nazvaný „Nábo- ženství jako kulturní systém", v němž autor tvrdil, že Durkheimova teorie náboženství, stejně jako teorie náboženství Sigmunda Freuda, Bronislawa Malinowského (...) a Maxe Webera, by měla být překonána dokonalejší teorií náboženství. Touto dokonalejší teorií měla být Geertzova teorie. Porozuměl však Geertz Durkheimově teorii dostatečně, aby nás to opravňovalo k tvrzení, že Durkheim byl na poli teorie náboženství překonán? (shrink)

—Industrial networks are increasingly based on open protocols and platforms that are also employed in the IT industry and Internet background. Most of the industries use wireless networks for communicating information and data, due to high cable cost. Since, the wireless networks are insecure, it is essential to secure the critical information and data during transmission. The data that transmitted is intercepted by eavesdropper can be predicted by secrecy capacity. The secrecy capacity is the difference between channel capacity of main (...) link and wiretap link of wireless transmission. When the secrecy capacity gets fades, then it is known that transmitted data is intercepted. In the event, of applying optimal sensor scheduling scheme a sensor with highest secrecy capacity is chosen and data is transmitted. It is followed with cooperative localization algorithm to enhance nodes, predict and maintain power of each sensor nodes. Through localization algorithm best sensor nodes are get predicted for transmission. Moreover, RC4 encryption and decryption algorithm is enhanced for data while transmission. This will enable protection to data to an extent. Also, an asymptotic intercept probability analysis is performed to provide an imminent into the impact of the sensor scheduling on the wireless security. (shrink)

. The Computerized Cognitive Retraining Program is a web-based application designed to support home-based cognitive training for children with cognitive disabilities. Cognitive disabilities often present challenges in areas such as memory, attention, and problemsolving, which can impact a child's learning and daily functioning. This project aims to provide an engaging, accessible platform for children to practice and improve these skills from the comfort of their home, under the guidance of healthcare professionals. The application enables children to engage with a variety (...) of interactive games and exercises specifically developed to target cognitive functions. Each activity is designed to be visually stimulating and user-friendly, encouraging consistent participation and gradual cognitive improvement. The program also features a patient dashboard for doctors, allowing them to monitor individual progress, assess performance trends, and make informed adjustments to each child's training plan. Built using HTML, CSS, JS, VS code local storage, this application offers secure access and a reliable database structure for storing user data, game progress, and performance metrics. Through this project, we aim to bridge the gap in cognitive support services by making training resources available in a home setting, thus extending the impact of cognitive retraining beyond traditional clinical environments. (shrink)

This paper examines some of the methods animals and humans have of adapting their environment. Because there are limits on how many different tasks a creature can be designed to do well in, creatures with the capacity to redesign their environments have an adaptive advantage over those who can only passively adapt to existing environmental structures. To clarify environmental redesign I rely on the formal notion of a task environment as a directed graph where the nodes are states and the (...) links are actions. One natural form of redesign is to change the topology of this graph structure so as to increase the likelihood of task success or to reduce its expected cost, measured in physical terms. This may be done by eliminating initial states hence eliminating choice points; by changing the action repertoire; by changing the consequence function; and lastly, by adding choice points. Another major method for adapting the environment is to change its cognitive congeniality. Such changes leave the state space formally intact but reduce the number and cost of mental operations needed for task success; they reliably increase the speed, accuracy or robustness of performance. The last section of the paper describes several of these epistemic or complementary actions found in human performance. (shrink)

Journalism and media studies lack robust theoretical concepts for studying journalistic knowledge ‎generation. More specifically, conceptual challenges attend the emergence of big data and ‎algorithmic sources of journalistic knowledge. A family of frameworks apt to this challenge is ‎provided by “social epistemology”: a young philosophical field which regards society’s participation ‎in knowledge generation as inevitable. Social epistemology offers the best of both worlds for ‎journalists and media scholars: a thorough familiarity with biases and failures of obtaining ‎knowledge, and a strong (...) orientation toward best practices in the realm of knowledge-acquisition ‎and truth-seeking. This paper articulates the lessons of social epistemology for two central nodes of ‎knowledge-acquisition in contemporary journalism: human-mediated knowledge and technology-‎mediated knowledge. ‎. (shrink)

What is a gene? Does it represent a natural kind, or is it just a tool for genomics? A clear answer to these questions has been challenged by postgenomic discoveries. In response, I will argue that the gene can be deemed a natural kind as it satisfies some requirements for genuine kindhood. Specifically, natural kinds are projectible categories in our best scientific theories, and they represent nodes in the causal network of the world (as in Khalidi. Natural Categories and Human (...) Kinds: Classification in the Natural and Social Sciences. Cambridge University Press, Cambridge, 2013; Khalidi. Synthese 195: 1379–1396, 2018; Khalidi. Are Sexes Natural Kinds, In: Dasgupta S, Weslake B (eds) Current Controversies in Philoso-phy of Science. Routledge, New York, 2020; Khalidi. Philos Sci 88:1–21, 2021). In Sect. 2, I will present a brief history of the gene and the controversy over its status. In Sect. 3, I will introduce the account of natural kinds considered in this paper. In Sect. 4, I will first present the relevant definition of genes and how they can be classified. Then, I will argue that the gene can be considered a natural kind as it satisfies the criteria for natural kindhood. Section 5 concludes. (shrink)

The rapid advancement of artificial intelligence (AI) technologies has revolutionized various industries, including the realm of education and career guidance. This project endeavors to harness the power of AI to develop a sophisticated career guidance application that offers personalized and effective recommendations to students and job seekers. The primary objective of this project is to address the limitations of traditional career guidance methods, which often lack customization and fail to adapt to individual preferences, skills, and aspirations. Through the integration of (...) AI algorithms, NLP techniques, and ML models, our application aims to provide accurate interest assessments, skill matching, and tailored educational pathways. The scope of the project encompasses the design, development, and implementation of AI-driven functionalities such as interest assessment, skill analysis, resume building, and personalized recommendations. The methodology involves data collection through user inputs, preprocessing of data for analysis, and the creation of a robust system architecture comprising frontend interfaces, backend servers, and database management. The implementation of the application involves a comprehensive technology stack, including Python for AI algorithms, TensorFlow for ML models, React.js for frontend development, Flask for backend services, and PostgreSQL for database management . (shrink)

The Budget and Expense Tracker System is designed to simplify personal and business financial management. It enables users to record, monitor, and analyze their income and expenses, offering categorized insights and visual reports. With features like budget allocation, transaction tracking, and real-time notifications, the system ensures users stay informed about their financial health. By integrating tools like chart visualization, notifications, and data export options, this application is a comprehensive solution for efficient financial planning. With advancements in technology, financial tools have (...) become more accessible. This project leverages modern technologies like React.js, Django, and secure databases to provide an intuitive, user-friendly platform. The system’s modular structure allows scalability, ensuring it can adapt to future enhancements such as AI-driven financial predictions and automated banking integrations. (shrink)

Optimization algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) are employed to determine the optimal aggregation and transmission schedules, taking into account factors such as network topology, node energy levels, and data urgency. The proposed approach is validated through extensive simulations, demonstrating significant improvements in energy consumption, packet delivery ratio, and overall network performance. The results suggest that the optimized aggregated packet transmission method can effectively extend the lifespan of duty-cycled WSNs while ensuring reliable data communication. Future (...) work will explore the integration of machine learning techniques for adaptive scheduling and the application of the proposed method to heterogeneous WSNs. (shrink)

Where Humeans rule out the possibility of material or non-logical necessity, and thus of any associated knowledge a priori, the German legal philosopher Adolf Reinach defends the existence of a wide class of material necessities falling within the domain of what can be known a priori, for example in fields such as color and shape, rational psychology, law and economics. Categories such as promise or claim or obligation are, in Reinach’s view, exist as nodes in a system of necessary relations, (...) so that anyone who has experience of relevant instances of these categories is implicitly aware also of a corresponding family of relations to certain other categories – as for example that every promise implies a mutually correlated claim and obligation. Midway between the two extremes of Hume and Reinach stands Searle, who accepts necessary relations of the mentioned sorts, but sees them as human creations, following from ‘constitutive rules’ analogous to the rules of chess. We seek to demonstrate that Searle does not occupy a stable and acceptable half-way house between Hume and Reinach; that he, too, if he is to do justice to the very constitutive rules which form the center of his approach, must on pain of circularity embrace something like the Reinachian position. (shrink)

The Internet Protocol (IP) is the source of Internet transmission but an inadequate authentication technique paves a way for IP spoofing. Since, IP spoofing initiates more attacks in the network, a secure authentication technique is required to defend against spoofing attacks. In order to achieve this, in this paper, we p ropose a (SVT) for defending IP spoofing attacks. Our technique authenticates IP address of each Autonomous System (AS) using Neighbour Authentication (NA) algorithm. The algorithm works by validating NA table (...) NA constructed by each node. The NA table is transmitted securely using RC-6 encryption algorithm. In addition to encryption, our technique use arithmetic coding to compress and decompress the NA table. The performance of our technique is proved through simulation results. Our technique incurs low overhead and significantly improves the performance of network. (shrink)

Some of the routing algorithms in mobile ad hoc networks use multiple paths simultaneously. These algorithms can attempt to find node-disjoint paths to achieve higher fault tolerance capability. By using node-disjoint paths, it is expected that the end-to-end delay in each path should be independent of each other. However, because of natural properties of wireless media and medium access mechanisms in ad hoc networks, the end-to-end delay between any source and destination depends on the pattern of communication in the neighborhood (...) region. In this case some of the intermediate nodes should be silent to reverence their neighbors and this matter increases the average of end-to-end delay. To avoid this problem, multi-path routing algorithms can use zone-disjoint paths instead of node-disjoint paths. Two routes with no pair of neighbor nodes are called zone-disjoint paths. In this paper we propose a new multi-path routing algorithm that selects zone-disjoint paths, using omni-directional antenna. We evaluate our algorithm in several different scenarios. The simulation results show that the proposed approach is very effective in decreasing delay and packet loss. -/- . (shrink)

This paper introduces a comprehensive theoretical framework that integrates quantum mechanics and metaphysical philosophy to investigate the intricate relationship between cosmic order and governance. In an effort to transcend the traditional divide between science and philosophy, this study establishes its foundations in mathematical formalism and empirical analogies, thereby mitigating the risk of philosophical overreach often associated with theoretical physics. The proposed framework reimagines quarks as fundamental nodes within a cosmic information network, governed by the principles of quantum chromodynamics (QCD) and (...) non-local coherence, offering a novel perspective on the interconnectedness of physical phenomena. Central to this exploration is the development of a Nash equilibrium model, which balances deterministic constants (α), probabilistic variables (β), and stochastic noise (γ), drawing inspiration from quantum indeterminacy and theological notions of free will. Furthermore, the study fosters interdisciplinary dialogue by bridging ancient and modern philosophical paradigms—such as Platonic Logos, Penrose’s twistor theory, and Quranic qadar —through carefully constructed thought experiments and analogies, ensuring a clear distinction between empirical observations and metaphysical interpretations. The research concludes by proposing future experimental directions, including collider tests and quantum sensor arrays, aimed at grounding the Cosmic Control Panel model in empirically verifiable science. By challenging reductionist paradigms while upholding theoretical humility, this study lays the groundwork for a rigorous and testable interdisciplinary framework, paving the way for deeper insights into the harmonious interplay between cosmic determinism and human agency. (shrink)

Standpoint logic is a recently proposed formalism in the context of knowledge integration, which advocates a multi-perspective approach permitting reasoning with a selection of diverse and possibly conflicting standpoints rather than forcing their unification. In this paper, we introduce nested sequent calculi for propositional standpoint logics---proof systems that manipulate trees whose nodes are multisets of formulae---and show how to automate standpoint reasoning by means of non-deterministic proof-search algorithms. To obtain worst-case complexity-optimal proof-search, we introduce a novel technique in the context (...) of nested sequents, referred to as "coloring," which consists of taking a formula as input, guessing a certain coloring of its subformulae, and then running proof-search in a nested sequent calculus on the colored input. Our technique lets us decide the validity of standpoint formulae in CoNP since proof-search only produces a partial proof relative to each permitted coloring of the input. We show how all partial proofs can be fused together to construct a complete proof when the input is valid, and how certain partial proofs can be transformed into a counter-model when the input is invalid. These "certificates" (i.e. proofs and counter-models) serve as explanations of the (in)validity of the input. (shrink)

Gathering and analyzing enormous volumes of data is known as "big data," and it includes information from users, sensors, healthcare providers, and companies. Using the Hadoop framework, large amounts of data are stored, managed, and dispersed across multiple server nodes. Big Data issues, including security holes in the Hadoop Distributed File System (HDFS), the architecture's core layer, are highlighted in this article. The methodology includes setting up a Hadoop environment, integrating Kerberos for authentication, enabling HDFS encryption zones, implementing SSL/TLS for (...) data in transit, and utilizing Apache Ranger and Apache Knox for access control and perimeter security, respectively. The results demonstrate the successful implementation of all planned security measures, achieving a robust security framework for the Hadoop cluster. Performance testing indicates a 10% reduction in processing speed due to the security features, a trade-off deemed acceptable given the significant enhancement in data protection. Compliance testing confirms adherence to GDPR and CCPA regulations, ensuring legal and secure data management. Overall, the study underscores the feasibility of integrating comprehensive security measures within a Hadoop environment, balancing the need for robust data protection with minimal performance impact. Future work includes optimizing security configurations to further mitigate performance degradation and exploring advanced security measures for enhanced threat detection and response. This methodology provides a scalable and secure solution for managing large datasets in compliance with global data protection standards. (shrink)

This paper explains how to use a new software tool for argument diagramming available free on the Internet, showing especially how it can be used in the classroom to enhance critical thinking in philosophy. The user loads a text file containing an argument into a box on the computer interface, and then creates an argument diagram by dragging lines from one node to another. A key feature is the support for argumentation schemes, common patterns of defeasible reasoning historically know as (...) topics . Several examples are presented, as well as the results of an experiment in using the system with students in a university classroom. (shrink)

The second volume of “Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond” presents a deep exploration of the progress in uncertain combinatorics through innovative methodologies like graphization, hyperization, and uncertainization. This volume integrates foundational concepts from fuzzy, neutrosophic, soft, and rough set theory, among others, to further advance the field. Combinatorics and set theory, two central pillars of mathematics, focus on counting, arrangement, and the study of collections under defined rules. Combinatorics excels in handling (...) uncertainty, while set theory has evolved with concepts such as fuzzy and neutrosophic sets, which enable the modeling of complex real-world uncertainties by addressing truth, indeterminacy, and falsehood. These advancements, when combined with graph theory, give rise to novel forms of uncertain sets in "graphized" structures, including hypergraphs and superhypergraphs. Innovations such as Neutrosophic Oversets, Undersets, and Offsets, as well as the Nonstandard Real Set, build upon traditional graph concepts, pushing both theoretical and practical boundaries. The synthesis of combinatorics, set theory, and graph theory in this volume provides a robust framework for addressing the complexities and uncertainties inherent in both mathematical and real-world systems, paving the way for future research and application. In the first chapter, “A Review of the Hierarchy of Plithogenic, Neutrosophic, and Fuzzy Graphs: Survey and Applications”, the authors investigate the interrelationships among various graph classes, including Plithogenic graphs, and explore other related structures. Graph theory, a fundamental branch of mathematics, focuses on networks of nodes and edges, studying their paths, structures, and properties. A Fuzzy Graph extends this concept by assigning a membership degree between 0 and 1 to each edge and vertex, representing the level of uncertainty. The Turiyam Neutrosophic Graph is introduced as an extension of both Neutrosophic and Fuzzy Graphs, while Plithogenic graphs offer a potent method for managing uncertainty. The second chapter, “Review of Some Superhypergraph Classes: Directed, Bidirected, Soft, and Rough”, examines advanced graph structures such as directed superhypergraphs, bidirected hypergraphs, soft superhypergraphs, and rough superhypergraphs. Classical graph classes include undirected graphs, where edges lack orientation, and directed graphs, where edges have specific directions. Recent innovations, including bidirected graphs, have sparked ongoing research and significant advancements in the field. Soft Sets and their extension to Soft Graphs provide a flexible framework for managing uncertainty, while Rough Sets and Rough Graphs address uncertainty by using lower and upper approximations to handle imprecise data. Hypergraphs generalize traditional graphs by allowing edges, or hyperedges, to connect more than two vertices. Superhypergraphs further extend this by allowing both vertices and edges to represent subsets, facilitating the modeling of hierarchical and group-based relationships. The third chapter, “Survey of Intersection Graphs, Fuzzy Graphs, and Neutrosophic Graphs”, explores the intersection graph models within the realms of Fuzzy Graphs, Intuitionistic Fuzzy Graphs, Neutrosophic Graphs, Turiyam Neutrosophic Graphs, and Plithogenic Graphs. The chapter highlights their mathematical properties and interrelationships, reflecting the growing number of graph classes being developed in these areas. Intersection graphs, such as Unit Square Graphs, Circle Graphs, and Ray Intersection Graphs, are crucial for understanding complex graph structures in uncertain environments. The fourth chapter, “Fundamental Computational Problems and Algorithms for SuperHyperGraphs”, addresses optimization problems within the SuperHypergraph framework, such as the SuperHypergraph Partition Problem, Reachability, and Minimum Spanning SuperHypertree. The chapter also adapts classical problems like the Traveling Salesman Problem and the Chinese Postman Problem to the SuperHypergraph context, exploring how hypergraphs, which allow hyperedges to connect more than two vertices, can be used to solve complex hierarchical and relational problems. The fifth chapter, “A Short Note on the Basic Graph Construction Algorithm for Plithogenic Graphs”, delves into algorithms designed for Plithogenic Graphs and Intuitionistic Plithogenic Graphs, analyzing their complexity and validity. Plithogenic Graphs model multi-valued attributes by incorporating membership and contradiction functions, offering a nuanced representation of complex relationships. The sixth chapter, “Short Note of Bunch Graph in Fuzzy, Neutrosophic, and Plithogenic Graphs”, generalizes traditional graph theory by representing nodes as groups (bunches) rather than individual entities. This approach enables the modeling of both competition and collaboration within a network. The chapter explores various uncertain models of bunch graphs, including Fuzzy Graphs, Neutrosophic Graphs, Turiyam Neutrosophic Graphs, and Plithogenic Graphs. In the seventh chapter, “A Reconsideration of Advanced Concepts in Neutrosophic Graphs: Smart, Zero Divisor, Layered, Weak, Semi, and Chemical Graphs”, the authors extend several fuzzy graph classes to Neutrosophic graphs and analyze their properties. Neutrosophic Graphs, a generalization of fuzzy graphs, incorporate degrees of truth, indeterminacy, and falsity to model uncertainty more effectively. The eighth chapter, “Short Note of Even-Hole-Graph for Uncertain Graph”, focuses on Even-Hole-Free and Meyniel Graphs analyzed within the frameworks of Fuzzy, Neutrosophic, Turiyam Neutrosophic, and Plithogenic Graphs. The study investigates the structure of these graphs, with an emphasis on their implications for uncertainty modeling. The ninth chapter, “Survey of Planar and Outerplanar Graphs in Fuzzy and Neutrosophic Graphs”, explores planar and outerplanar graphs, as well as apex graphs, within the contexts of fuzzy, neutrosophic, Turiyam Neutrosophic, and plithogenic graphs. The chapter examines how these types of graphs are used to model uncertain parameters and relationships in mathematical and real-world systems. The tenth chapter, “General Plithogenic Soft Rough Graphs and Some Related Graph Classes”, introduces and explores new concepts such as Turiyam Neutrosophic Soft Graphs and General Plithogenic Soft Graphs. The chapter also examines models of uncertain graphs, including Fuzzy, Intuitionistic Fuzzy, Neutrosophic, and Plithogenic Graphs, all designed to handle uncertainty in diverse contexts. The eleventh chapter, “Survey of Trees, Forests, and Paths in Fuzzy and Neutrosophic Graphs”, provides a comprehensive study of Trees, Forests, and Paths within the framework of Fuzzy and Neutrosophic Graphs. This chapter focuses on classifying and analyzing graph structures like trees and paths in uncertain environments, contributing to the ongoing development of graph theory in the context of uncertainty. (shrink)

We propose a new routing protocol, which is anonymous secure routing (AASR), to satisfy the requirement and defend the attacks. the route request packets are authenticated by a group signature, the potential active attacks without unveiling the node identities. The key-encrypted onion routing with a route secret verification message, is designed to prevent intermediate nodes from inferring a real destination.We address fault tolerance in wireless sensor networks .In sensed data streams indicate the spread of malicious attacks, hardware failure and software (...) corruption among the different nodes in a Wireless Sensor Network. we start by providing a short summary of sensor networks and classical fault tolerance techniques in the system, we discuss the three phases of fault tolerance detection and identification at four levels of abstractions (hardware, system software, middleware, and applications) and four scopes the factors of the node infected can be generated and incoming data streams resulting in chances of inaccurate data misleading packet transmission wrong decision making and server communication disruption. Wireless sensor network composed of very large number of low cost micro-sensors. A wireless sensor network of the type refer a group of the sensors, or node, that are linked by a wireless medium to perform the distributing the sensing tasks. With the new system like micro-electro-Mechanical system(MEMS) technology taking low power in wireless sensor network communication. Now the big challenge is that to produce the wireless sensor nodes at low cost. The network is used to collect and send the various types of data and message to the destination. The low cost WSN has the limited battery power and the replacing the battery is the not a solution in the network because large nodes will be there. (shrink)

A graph-theoretic account of logics is explored based on the general notion of m-graph (that is, a graph where each edge can have a finite sequence of nodes as source). Signatures, interpretation structures and deduction systems are seen as m-graphs. After defining a category freely generated by a m-graph, formulas and expressions in general can be seen as morphisms. Moreover, derivations involving rule instantiation are also morphisms. Soundness and completeness theorems are proved. As a consequence of the generality of the (...) approach our results apply to very different logics encompassing, among others, substructural logics as well as logics with nondeterministic semantics, and subsume all logics endowed with an algebraic semantics. (shrink)

The money-pump argument aims to show that cyclic preferences are irrational. The argument can be based on a number of different exploitation schemes that vary in what needs to be assumed about the agent. The Standard Money Pump works for myopic and naive agents, but not for sophisticated agents who use backward induction. The Upfront Money Pump works for sophisticated agents, but not for myopic or naive agents. In this paper, I present a new money pump, the Universal Money Pump, (...) that works for myopic, naive, and sophisticated agents. Moreover, the Universal Money Pump (just like the Upfront Money Pump) also works for minimally sophisticated agents who need not assume that they will choose rationally at nodes that can only be reached by irrational choices. This enables an argument that rational preferences are acyclic, which is based on weaker assumptions about dynamic rationality than existing money-pump arguments. (shrink)

Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In particular, (...) we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks. (shrink)

The concept of distributed moral responsibility (DMR) has a long history. When it is understood as being entirely reducible to the sum of (some) human, individual and already morally loaded actions, then the allocation of DMR, and hence of praise and reward or blame and punishment, may be pragmatically difficult, but not conceptually problematic. However, in distributed environments, it is increasingly possible that a network of agents, some human, some artificial (e.g. a program) and some hybrid (e.g. a group of (...) people working as a team thanks to a software platform), may cause distributed moral actions (DMAs). These are morally good or evil (i.e. morally loaded) actions caused by local interactions that are in themselves neither good nor evil (morally neutral). In this article, I analyse DMRs that are due to DMAs, and argue in favour of the allocation, by default and overridably, of full moral responsibility (faultless responsibility) to all the nodes/agents in the network causally relevant for bringing about the DMA in question, independently of intentionality. The mechanism proposed is inspired by, and adapts, three concepts: back propagation from network theory, strict liability from jurisprudence and common knowledge from epistemic logic. (shrink)

Terry Horgan and John Tienson have suggested that connectionism might provide a framework within which to articulate a theory of cognition according to which there are mental representations without rules (RWR) (Horgan and Tienson 1988, 1989, 1991, 1992). In essence, RWR states that cognition involves representations in a language of thought, but that these representations are not manipulated by the sort of rules that have traditionally been posited. In the development of RWR, Horgan and Tienson attempt to forestall a particular (...) line of criticism, theSyntactic Argument, which would show RWR to be inconsistent with connectionism. In essence, the argument claims that the node-level rules of connectionist networks, along with the semantic interpretations assigned to patterns of activation, serve to determine a set of representation-level rules incompatible with the RWR conception of cognition. The present paper argues that the Syntactic Argument can be made to show that RWR is inconsistent with connectionism. (shrink)

. The increasing frequency of infectious disease outbreaks highlights the urgent need for efficient and accessible health management systems. Existing platforms often lack real-time updates, regional specificity, and user-focused features, leaving individuals underprepared to address emerging health threats. This research presents Pranasetu, a web-based health wellness improvement application designed to enhance public awareness and personal health insights through technology. The platform incorporates real-time outbreak updates, a dynamic map of India for disease tracking, location-based alerts, and an interactive symptom-based questionnaire supported (...) by a predictive disease model. Multilingual support ensures accessibility across diverse user groups, while chatbot assistance enhances user engagement and usability. Developed with React.js, the application focuses on a simplified, intuitive interface for seamless navigation. Methodologically, Pranasetu integrates real-time data aggregation, predictive analytics, and interactive design to deliver actionable health insights tailored to individual users and regions. The results demonstrate significant improvements in user awareness, accessibility, and responsiveness to health risks. Pranasetu's innovative features address critical gaps in existing systems by providing localized, real-time data and personalized health assessments, making it a valuable tool for improving public health outcomes. This research underscores the potential of leveraging modern web technologies to empower individuals and communities with actionable health information, fostering better preparedness and proactive health management. (shrink)