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Social media analytics is the art and science of extracting valuable hidden information from large amounts of semi-structured and structured social media data. Algorithms based on social network analytics, natural language processing, complex event processing, and data mining techniques are commonly used by social media analytics software using various specific tools. In positioning a social media analytics program as part of an organization's business intelligence practice or intelligence for an information service, BI can be conceptualized as both a process and a product.

The common thread of Pinocchio’s story is his desire to become a human being. Unlike some creators who approached the adventures of Pinocchio in the context of posthumanism the transhumanism embraces technological progress while strongly defending human rights and individual choice. Pinocchio is aware of his incompleteness: he seeks during the story to become „a real boy.” Human consciousness can refer to things that we do not perceive directly. Pinocchio is a „child” without a mother, created by his father to fill his loneliness. He highlights the current problem of the relationship between man and his creation, out of control.

Python is a multi-paradigm programming language that pursues a simpler, less cluttered syntax and grammar while giving developers a choice in their coding methodology. In most situations, it is recommended to allocate memory from the Python heap, since the latter is under the control of the Python memory manager. Even when the requested memory is used purely for internal, very specific purposes, delegating all memory requests to the Python memory manager gives the interpreter a more accurate picture of its overall memory footprint. For learning the Python programming language, it is easy to work with memory images in a very specific format.

Pinocchio is, above all, what he is not. His identity is often played to the limit, imagined by himself and everyone he meets along the way. Pinocchio is the name of life that is simultaneously inorganic, human and animal. For this reason, it is the possible name of a radical desertion: to identify at the same time with oneself and with someone other than oneself. One question that can be deduced from The Adventures of Pinocchio is whether such an intelligent machine would like to become “human”? In fact, before Pinocchio becomes a real boy, he does everything that real boys do, including the disobedience to their parents.

In principle, any node within a blockchain network can propose adding new information to the blockchain. To validate that this addition of information (eg a transaction record) is legitimate, the nodes must reach some form of agreement. This is where a "consensus mechanism" comes into play. In short, a consensus mechanism is a predefined specific (cryptographic) validation method that ensures correct sequencing of transactions on the blockchain. In the case of cryptocurrencies, such sequencing is necessary to address the problem of "double spending" (ie the problem that the same payment instrument or asset can be transferred multiple times if the transfers are not centrally recorded and controlled.

Descriptivist theories attempted to eliminate certain logical contradictions if names were considered definite descriptions. Kripke rejected the validity of these descriptivist theories by arguing that there is no need for a unique description of identity, identifying descriptions can be used even if the referent has not been correctly identified, and a description (as opposed to a name) cannot function as a rigid signifier. Later, descriptivist theories extended this idea of defined description to a set of descriptions or a weighted average of these descriptions.

The use of Big Data presents significant legal issues, especially from the point of view of data protection. The existing legal framework of the European Union, based in particular on Directive no. 46/95/EC and the General Regulation on the protection of personal data, provide adequate protection. But Big Data requires a comprehensive and global strategy. The evolution over time has been from the right to exclude others to the right to control one's own data and, currently, to rethinking the right to (digital) identity.

Review: Imre Lakatos, The Methodology of Scientific Research Programmes, Philosophical papers, volume I, edited by John Worrall and Gregory Currie, Cambridge University Press, 1995, ISBN 0-521-28031-1, paperback The Methodology of Scientific Research Programs is a collection of papers published over time, in which Imre Lakatos expresses a radical revision of Popper's criterion of demarcation between science and non-science, leading to a new theory of scientific rationality.

Socrates practiced dialectic to obtain knowledge, through the method of oral dialogue, what he called the art of "birth of souls". In Plato, dialectic was a type of knowledge with an ontological and metaphysical role, which is reached by confronting several positions in order to overcome opinion (doxa), a movement from the world of appearances (or the "sensible") to intellectual knowledge (or " the intelligible") to the first principles. For a description, statement, or assertion to be knowledge, it must be a belief, be true, and be justified. A statement of faith is an expression of belief in someone or something. Belief must be true to be knowledge. The definition of knowledge as justified true belief was widely accepted until 1960, when the American philosopher Edmund Gettier provoked major widespread discussion. Scientific knowledge is based on the collection of observable and measurable evidence subject to specific principles of reasoning and experimentation. Despite criticisms of Karl Popper's theory of falsifiability for the demarcation between science and non-science, mainly pseudoscience, this criterion is still very useful, and perfectly valid after its refinement by Popper and his followers. Imre Lakatos' Methodology of Scientific Research Programs is a radical revision of Popper's criterion of demarcation between science and non-science, leading to a new theory of scientific knowledge. In the paper I present my proposal to extend Lakatos' methodology with two new terms, bifurcated programs and unifying programs, with their specific characteristics.

In intelligence, epistemology is the study of threat knowledge and how threat is understood in the field of intelligence analysis. Most definitions of intelligence activity do not take into account the fact that the epistemic normative status of the analyzed information is knowledge and not an inferior alternative. The counter-arguments to the epistemological status of intelligence activity are their action-oriented purpose, and their future-oriented content.

The heavy water plant was established under the name of Combinatul Chimic Drobeta, by Decree 400/16.11.1979, under the Inorganic Products Industrial Center (CIPA) Râmnicu Vâlcea. The thermo-electric plant for supplying the heavy water factory with steam was decided to be located in Halânga village, three kilometers from the factory. The process water required for the factory was brought from the Danube, and the hydrogen sulphide used in the process was produced in the plant, through a specific technology, and then compressed, liquefied and stored in special tanks. The works on the heavy water factory at Drobeta Turnu Severin started in 1979, based on a derogatory HCM. The equipment for the heavy water plant was purchased through the Industrial Center for Chemical and Refinery Equipment (CIUTCR). All equipment and facilities that transported hydrogen sulphide had to meet strict quality assurance conditions.

Data mining involves six common classes of tasks: anomaly detection, association rule learning, clustering, classification, regression, and summarization. While the term "data mining" itself has no ethical implications, it is often associated with mining information about human behavior (ethical and otherwise). Copyright holders are directly interested in data mining issues.

Due to the special working conditions in the heavy water plant, an extensive research and program has been developed for the operational safety of the installations, based on specific action methodologies and in situ experimental programs for the evaluation of the long-term behavior of materials and installations. After December 1989, the operation of the modules was stopped for about three years, for the modernization of the technological equipment and the surveillance and environmental protection systems. In September 2015, the production of heavy water was stopped and the plant staff was laid off.

Artificial intelligence has progressed to the point where it is an essential component in almost every sector of today's modern economy, with a significant impact on our private, social and political lives. It was founded on the assumption that human intelligence can be described so accurately that a machine can be made to simulate it. This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence. Artificial intelligences are a source of a whole new set of problems of explainability, accountability and trust.

Artificial intelligence has created unprecedented opportunities, but also new risks. The exponential increase in the capabilities of artificial intelligence models enables previously unattainable levels of value and generalization. However, the opacity of these models has also increased, and their black-box nature makes it difficult, even for experts, to explain the rationale behind their conclusions. This may represent a technological and social critical point, as the risk is real, as evidenced by recent episodes, of training systems being compromised by discrimination biases that have learned from training data. It is therefore possible that learning from digital traces of past decisions can lead to existing invisible biases being incorporated into the resulting patterns, perpetuating them.

Tableau is a data analysis and visualization tool that can connect with many data sources, creating interactive dashboards. Tableau uses application integration innovations such as JavaScript APIs and single sign-on to consistently embed Tableau analytics into core business applications. Tableau queries relational databases, online analytics cubes, cloud databases, and spreadsheets to generate graphical data visualizations. The software can also extract, store, and retrieve data from an in-memory data engine.

Business process discovery related to process mining is a set of techniques that automatically build a representation of an organization's current business processes and major process variations. These techniques use evidence found in existing technology systems that run business processes within an organization.

David Singer states that the threat is currently the primary focus of intelligence agencies. Intelligence activity can be thought of as the process by which certain types of information are requested, collected, analyzed, and disseminated, and how certain types of covert actions are designed and carried out. The intelligence cycle is a set of processes used to provide useful information in decision making. The cycle consists of several processes. The related field of counterintelligence is charged with thwarting the informational efforts of others.

Algorithms based on social network analytics, natural language processing, complex event processing, and data mining techniques are commonly used by social media analytics software to provide a wide range of analytics capabilities and actionable metrics by managers to obtain critical business information and facilitate effective decision making

PHP defines a wide range of functions as reusable blocks of statements in the core language, and many are also available in various extensions. These functions are well documented in the online PHP documentation. Custom functions can be defined by the developer. A function will not run automatically when a page loads, it can be called from anywhere and anytime within the program. PHP supports type declarations on function parameters, which are applied at runtime.

With widespread use, a number of common practices and conventions have evolved to help avoid errors in C programming. These are both a demonstration of applying good software engineering principles to a language, and an indication of C’s limitations. Although few are universally used and some are controversial, each enjoys wide use.

Specific simulators and tests are used to accurately measure 5G performance. Originally, the term was associated with the International Telecommunication Union's IMT-2020 standard, which required a theoretical maximum download speed of 20 gigabits per second and 10 gigabits per second upload speed, along with other requirements. Then, the 3GPP industry standards group chose the 5G NR (New Radio) standard together with LTE as a proposal for transmission to the IMT-2020 standard.

Association rule learning is a rule-based machine learning method for discovering interesting relationships between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interest. Based on the concept of strong rules, association rules were introduced to discover regularities between products in large-scale transaction data recorded by supermarket point-of-sale systems. Such information may be used as a basis for decisions regarding marketing activities, such as, for example, promotional pricing or product placements. In addition to the above example from market basket analysis, association rules are used in many fields today, including web mining, intrusion detection, continuous manufacturing, and bioinformatics.

Paul Ricoeur examined a number of different forms of extended discourse, beginning with metaphorical discourse. Narrative discourse is one of the investigated forms, configuring heterogeneous concepts that identify actions at a time when one thing happens not only after something else, but also because of something else in a story or history that can be followed. It recasts physical events as narrative events, which make sense because they tell what happens in a story or history. Narratives are always a synthesis of the heterogeneous concepts that configure the episodes of the story.

From a methodological point of view, both Newton and Einstein, and later Dirac, unreservedly supported the principle of mathematical simplicity in the discovery of new physical laws of nature. They were joined by Poincaré and Weyl. Eduard Prugovecki states that quantum gravity has forced the consideration of some fundamental epistemological questions, which can be identified in philosophy with the mind-body problem and the problem of free will. These questions influenced the epistemology of quantum mechanics in the form of von Neumann's "psycho-physical parallelism" and Wigner's subsequent analysis of the thesis that the "collapse of the wave packet" takes place in the mind of the "observer".

The data must be processed with advanced collection and analysis tools, based on predetermined algorithms, in order to obtain relevant information. Algorithms must also take into account aspects invisible to direct perceptions. Big Data in government processes increase cost efficiency, productivity and innovation. Civil registries are a source for Big Data. The processed data helps in critical development areas such as health care, employment, economic productivity, crime, security and natural disaster and resource management.

Ontology engineering, together with Semantic Web technologies, enable the semantic modeling and development of operational flow required for TB design. The most widely used blockchain modeling system by abstractly representing, describing and defining structure, processes, information and resources is enterprise modeling. Enterprise modeling uses domain ontologies using model representation languages. Bitcoin is the leading peer-to-peer payment system and digital currency that uses blockchain technology.

Over the last 60 years, computing power has grown explosively, mainly due to space, military and industrial research, and forced by the recent COVID-19 pandemic and geopolitical conflicts. The specific features of the near future will be greatly increased computing power, smarter devices, datafication of all aspects of our lives, increased reliance on digital technologies, increased automation of industrial processes. The most targeted areas are the Internet of Things, virtual reality, augmented reality and artificial intelligence. IT trends in business, military and geopolitics will reshape our future socially. There are technologies that are not yet in their stable and mature stage, including 5G networks, blockchain, virtual reality, etc. but which analysts see a great potential.

Big data security involves adhering to the concepts of right and wrong ethical behavior with respect to data, especially personal data. Big data ethics focuses on the collectors and disseminators of structured or unstructured data. Information security and privacy is supported, at EU level, by extensive documentation, which seeks to find concrete solutions to maximize the value of information without sacrificing fundamental human rights. The European Data Protection Authority (EDPS) supports the right to privacy and the right to the protection of personal data respecting human dignity.

The life cycle of an AI system includes several interrelated phases, from its design and development (including subphases such as requirements analysis, data collection, training, testing, integration), installation, implementation, operation, maintenance and disposal. Given the complexity of artificial intelligence (and information systems in general), several models and methodologies can be defined to manage this complexity, especially in the design and development phases, such as agile, waterfall or spiral software development , rapid and incremental prototyping. The AI lifecycle defines the phases an organization should follow to take advantage of AI techniques and specifically machine learning models to achieve practical business value.

The 5G architecture presented here resulted from the analysis of various publicly available reports published by standards, research and scientific bodies. This task aimed to establish a common and coherent understanding of the components of the 5G architecture. Despite a large number of documents relating to different aspects of the 5G architecture (e.g. individual network functions, interfaces, security functions, different 5G domains, etc.), only a few provide a comprehensive overview. For this, it was necessary to visualize the various components in a modular and general way. Once the comprehensive technical architecture of 5G was defined, and after examining the known weaknesses of the components, it was possible to list the sensitive assets and describe the most relevant threats.

Biopower refers to the practice of modern nation-states through an explosion of numerous and diverse techniques for achieving the subjugation of bodies and the control of populations. Foucault used the term to refer specifically to public health practices, among other regulatory mechanisms. Biopolitics is a concept that considers the administration of life and populations of a governed region. Biopolitics produces a generalized disciplinary society and regulatory controls through population biopolitics. Biopolitical inclusion produces geopolitical effects, through the policies of caring for one's own ethnicity, creating the motivations for the incorporation of separatist territories. Biopolitical and geopolitical discourses reinforce and support each other, and can condition each other. Studying these correlations can help us better understand the reason for actions.

As social media channels move from personal to professional life and permeate daily corporate routines and business workflows, organizations are faced with the need to formulate and implement measurement techniques to help them gain insights from social media interactions and evaluate the success of their own social media initiatives. Social media analytics (social media analytics) is a new and emerging field poised to enable companies to improve their performance management initiatives across various business functions. Whether it's to measure the effectiveness of promotional campaigns, gather information about customer needs and preferences, discern brand perceptions, get feedback on product performance, or to capture data on market trends, social media analytics has the potential to provide useful insights. different lines of business such as marketing and sales, customer relations, public relations and product development.

Once you open Adobe Photoshop, you can start editing right away. Follow the instructions in this article to open or create an existing or new Photoshop (.psd) file or image.

Methodology, in intelligence analysis, consists of the methods used to make decisions about threats, especially within the discipline of intelligence analysis. Robert Flood's prismatic theory, referred to by others as methodological pluralism, uses the metaphor to describe creative and transformative thinking, namely a prism that breaks light into its component colors through double refraction. Structural analytic techniques are used to challenge judgment, identify mindsets, overcome biases, stimulate creativity and manage uncertainty.

Over time, general relativity has accumulated several anomalies and discrepancies, indicating the need for better theories of gravity or other ways of approaching it. The ad hoc assumptions introduced into general relativity to explain gravitational singularities based on energetic conditions are not very effective. More detailed assumptions about the content of matter are needed. Many scientists and philosophers have come to the conclusion that singularities must be associated with reaching the limits of the physical validity of general relativity, necessitating the development of a new theory, quantum gravity.