Reviewerly/exHarmony huggingface dataset:
A Guide to Cloud Platform with an Investigation of Different Cloud Service Providers

There is a rising need for cloud computing services in today’s culture since data are expanding at an exponential pace. Developers and service providers may benefit from cloud computing in several ways. Among other things, the cloud is in charge of a platform’s accessibility, security, processing, and storage. The cloud computing platform is the primary focus of this chapter. Cloud computing service providers are investigated in great detail. Many other sources, such as the most current Gartner study, are thoroughly evaluated in addition to this study. Serverless computing is also focused on in this chapter. There are several cloud service providers, including Amazon Web Services, Microsoft Azure, Google Cloud, Alibaba Cloud, Oracle, IBM, and more.
Describing quantum metrology with erasure errors using weight distributions of classical codes

Quantum sensors are expected to be a prominent use-case of quantum technologies, but, in practice, noise easily degrades their performance. Quantum sensors can for instance be afflicted with erasure errors. Here, we consider using quantum probe states with a structure that corresponds to classical $[n,k,d]$ binary block codes of minimum distance $d\ensuremath{\ge}t+1$. We obtain bounds on the ultimate precision that these probe states can give for estimating the unknown magnitude of a classical field after at most $t$ qubits of the quantum probe state are erased. We show that the quantum Fisher information is proportional to the variances of the weight distributions of the corresponding ${2}^{t}$ shortened codes. If the shortened codes of a fixed code with $d\ensuremath{\ge}t+1$ have a nontrivial weight distribution, then the probe states obtained by concatenating this code with repetition codes of increasing length enable asymptotically optimal field sensing that passively tolerates up to $t$ erasure errors.
Practical Construction for Secure Trick-Taking Games Even with Cards Set Aside

Trick-taking games are traditional card games played all over the world. There are many such games, and most of them can be played online through dedicated applications, either for fun or for betting money. However, these games have an intrinsic drawback: each player plays its cards according to several secret constraints (unknown to the other players), and if a player does not respect these constraints, the other players will not realize it until much later in the game. In 2019, X. Bultel and P. Lafourcade proposed a cryptographic protocol for Spades in the random oracle model allowing peer-to-peer trick-taking games to be played securely without the possibility of cheating, even by playing a card that does not respect the secret constraints. However, to simulate card shuffling, this protocol requires a custom proof of shuffle with quadratic complexity in the number of cards, which makes the protocol inefficient in practice. In this paper, we improve their work in several ways. First, we extend their model to cover a broader range of games, such as those implying a set of cards set aside during the deal (for instance Triomphe or French Tarot). Then, we propose a new efficient construction for Spades in the standard model (without random oracles), where cards are represented by partially homomorphic ciphertexts. It can be instantiated by any standard generic proof of shuffle, which significantly improves the efficiency. We demonstrate the feasibility of our approach by giving an implementation of our protocol, and we compare the performances of the new shuffle protocol with the previous one. Finally, we give a similar protocol for French Tarot, with comparable efficiency.
Stance in climate science: A diachronic analysis of epistemic stance features in IPCC physical science reports

This diachronic corpus-based analysis investigates the use of epistemic stance devices inreports from the United Nations’ Intergovernmental Panel on Climate Change (IPCC)from the date of its first report on the physical science of climate change in 1990 to itssixth contribution in 2021. Applying the framework of stance (Biber &amp; Finegan, 1989),the study focuses upon changes in the use of the epistemic stance markers of modal verbsand adverbs across the approximately 30-year period. To empirically measure thestrength of trends in the use of these stance devices, Kendall’s Tau correlation coefficientwas calculated for each item using their normalized frequencies from the six reports.Analysis displayed that the use of modal verbs has consistently decreased across thisperiod of time in which the scientific consensus regarding the anthropogenic origins ofclimate change expanded and solidified. Additionally, of the greater than twenty stanceadverbs displaying consistent use trajectories across the period, the majority of theseitems were emphatic adverbs declining in use.
Introduzione

Firenze University Press coined the “Scientific Cloud for Books” label to designate the whole ecosystem surrounding high-quality scientific books, and to fully exploit digital tools with the purpose of ensuring greater visibility and impact of both monographs and collective volumes
Palatini Variation in Generalized Geometry and String Effective Actions

We develop the Palatini formalism within the framework of generalized Riemannian geometry of Courant algebroids. In this context, the Palatini variation of a generalized Einstein-Hilbert-Palatini action - formed using a generalized metric, a Courant algebroid connection (in contrary to the ordinary case, not necessarily a torsionless one) and a volume form - leads naturally to a proper notion of a generalized Levi-Civita connection and low-energy effective actions of string theory.
Testing for Differences in Survey-Based Density Expectations: A Compositional Data Approach

We propose to treat survey-based density expectations as compositional data when testing either for heterogeneity in density forecasts across different groups of agents or for changes over time. Monte Carlo simulations show that the proposed test has more power relative to both a bootstrap approach based on the KLIC and an approach which involves multiple testing for differences of individual parts of the density. In addition, the test is computaionally much faster than the KLIC-based one, which relies on simulations, and allows for comparisons across multiple groups. Using density expectations from the ECB Survey of Professional Forecasters and the U.S. Survey of Consumer Expectations, we show the usefulness of the test in detecting possible changes in density expectations over time and across different types of forecasters.
A New Paradigm for High-Capacity Reversible Data Hiding with Pixel Repetition and Adaptive Embedding

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Research on Adaptive Obstacle Avoidance Algorithm of Robot Based on Ddpg-Dwa

In this paper, the continuous obstacle avoidance problem of robots in complex state space is studied, and an adaptive reinforcement learning obstacle avoidance algorithm based on the combination of Deep Deterministic Policy Gradient and Dynamic Window Approach is proposed. Firstly, based on DDPG algorithm, the obstacle avoidance problem is transformed into the optimal learning incentive problem to achieve self-learning and updating of the obstacle avoidance strategy. Secondly, DDPG reward incentive mechanism and experience replay mechanism are used to optimize the DWA obstacle avoidance trajectory evaluation function. Finally, the algorithm model is simulated in different obstacle environments. The experimental results show that the model can significantly avoid the deficiency of DWA algorithm that is easy to limit the local optimal solution in complex environments, and solve the action output in the numerical interval of continuous speed and rotation angle of the robot; Through the interactive trial and error with the environment and the track evaluation incentive feedback mechanism, the obstacle avoidance ability of the robot in complex environments has been significantly improved.
Pedagogical conditions for the formation of value orientations in children when implementing upbringing programs in educational institutions

The article describes a theoretical study of the pedagogical conditions for the formation of children's value orientations. The study included the analysis of concepts, methodological approaches, general and specific patterns of the process of raising children in relation to the subject of study, and a brief description of pedagogical conditions. The study used the data of a monitoring of modern youth's value orientations conducted in 2022 by the Institute for the Study of Childhood, Family and Education of the Russian Academy of Education in eight federal districts of the Russian Federation. The pedagogical conditions for the formation of children's value orientations are interpreted as regard to the factors of the internal (educational organization, personal development) and external (sociocultural environment, society as a whole) environments that objectively influence the formation of children's positive or negative value orientations, as well as the creation of opportunities (resources and ways to improve efficiency) that ensure the appropriation and implementation of socially significant values in children's minds, feelings and behavior. The internal conditions in educational organizations include: actualization of the personal position of children, their personal experience, initiatives in the education; purposeful systemic orientation of the content of implemented educational programs and methodological support of educational activities to the formation of value orientations of children; creation and functioning in an educational organization; formation of the way of the education as a stable system of sociopedagogical interactions, taking into account the peculiarities of sociocultural conditions, the contingent of children, their families and the sociocultural environment; the influence of teachers, their pedagogical culture on children's value orientations. An educational organization can become a key social institution in the formation of children's value orientations in the implementation of these internal conditions for increasing the efficiency of the process under study. External pedagogical conditions for the formation of children's value orientations include: the impact on the formation of children's value orientations of other social institutions of education, primarily the family; legal regulation of educational activities for the formation of value orientations of children; the impact of digitalization, digital transformation of education on the forming of children's value orientations; the impact of geopolitical and internal Russian sociopolitical processes. The identified external and internal pedagogical conditions should be taken into account in the design of pedagogical models for the formation of the value orientations of children studying in different educational organizations.
An imago-ecological turn in the assessment of a technical reality

An unprecedented turn is taking place before our eyes: the technical environment, having changed, participates in the substitution of the sphere of the imaginary for the sphere of the technical in the digitalization mode. Images bring us together and hold us, becoming the focus of the essence of the digital and material world. The article outlines the basics of the visual-ecological approach in creating a human-sized digital environment. By giving ourselves to interfaces and their technical requirements, we hope that we have won freedom, time, life. In fact, we can lose everything if the images we create quantitatively express our technological capabilities to a greater extent than qualitatively deepen our own human experience. We find ourselves in a situation similar to the archaic one, when a person, through the rituals and techniques invented by him, tamed his own dreams, his fantasies, and through them himself, pacifying the demons of imagination. Today, technical images are more insatiable than archaic demons because they claim a massive intensification of experience, but at the same time lead to an explosion of the imaginative, to burnout, chronic disinterest, to boredom. We produce images better than we know how to inhabit them. We have industrial technologies for their creation, but there are no body techniques adequate to their living. Theory should change its approach to technical images: think not about them, but together with them, about those techniques of the body and the worlds that they discover, about the criteria and requirements that they set, about where they direct our desires and where they inspire our dreams. It is assumed that, in order to understand the potential of visual ecology, one should take into account a number of methods related to the interpretation of bodily experience: (1) the method of topological reflection. The digital image apparently removes one of the fundamental interactions of the Universe -gravitational. We cannot resist the attraction of the digital image until we recreate it for understanding at the conceptual level, until we recreate the context and connect the growth of digital suggestion with the possibilities of the environment; (2) the method of somatic epistemology. The body is a graveyard of signs, it bears meta processes from which it is already culturally and technically excluded, but they continue to work, they constitute the cultural archive of the body, and new technologies do not specifically respond to practical intentions, but to the actualization of archived experience, which suddenly becomes important in a new environment; (3) the method of empirical constructivism: thinking through the evolutionary conditions of digital objects, the principle of their construction from information data in the world of algorithms and glitches, taking into account the peculiarities of human experience.
Knowledge

The situation calculus is a formalism for reasoning about actions and effects, and it is implicit in the axiomatizations that these effects are actualized in the world. The situation calculus is a formalism for reasoning about actions and effects, and it is implicit in the axiomatizations that these effects are actualized in the world. It is also implicit in such axiomatizations that the initial theory represents the things we know to be true, and so the actions are assumed to be changing these things. But who is the knower? In a database setting, the initial theory captures the facts that are entered in the database, and so the actions are updates performed on the database itself. It does seem reasonable to think, that the facts in the database are in agreement with reality. In that sense, the database implicitly knows the world (or at least the part of the world that the database is capturing). This simple notion breaks down in most applications involving artificial agents. Except in controlled environments like video games where non-player characters would have a full picture of the virtual world, uncertainty is a fact of life. Robots can be expected to have only a partial view of the world, limited by what was programmed initially and what they observe. If there are multiple agents in the environment, a robot might not only be uncertain about the physical world, but also about what the other agents are capable of, and what information they possess. In fact, even with databases, if we allow that the information entered in the database might be erroneous or noisy, we might want to entertain a notion of informational incompleteness, or not-knowing. In this chapter, we study the formalization of knowledge in the situation calculus.
Fuzzy Approach to Explainable Artificial Intelligence

The widespread introduction of artificial intelligence systems in all areas of human activity imposes requirements of responsibility on these systems. Systems operating in critical areas such as healthcare, economics, and security systems based on artificial neural network models should have an explanatory apparatus to be able to evaluate not only the recognition, prediction, or recommendation accuracy familiar to everyone, but also to show the algorithm for getting result of neural network working. In this paper, we investigate methods of explainable artificial intelligence for rules extraction from artificial neural networks, which are based on the fuzzy logic.
Solar Photovoltaic Energy Forecasting Using Improved Ensemble Method For Micro-grid Energy Management

Solar photovoltaic energy is one of the renewable energy sources which can be used in microgrids. The inherent drawback of solar photovoltaic energy is the intermittent nature caused by the seasonality and cloud cover. Therefore, forecasting methods are used to account the effect of intermittency of solar energy. This paper describes about the forecasting method that used improved ensemble method in order to forecast the variation of power generation of solar panels due to the cloud cover. The ensemble forecasting model is a combination of a sky imagery model and a statistical model. The combination of two models is done taking the weighted average of forecasted solar photovoltaic (PV) generation output given by each model. The ensemble forecasting model was tested and validated with the data of days of different weather conditions such as sunny day and rainy day. The accuracy of model is determined by root mean square error of predictions. In sunny day and rainy day and the RMSE value of predictions are 1.066W and 0.351W respectively.
An Empirical Analysis of Digital Image Color Quantization using Partition Based Clustering Techniques

In today’s technical world, dependency on digital devices as well as the generation of digital data has increased by many times. Out of the total data produced through various digital devices, image data occupies a large section. Devices can create images in different formats such as monochrome, gray-scale, and color. Color images again can have different color models out of which the red green blue (RGB) model is one of the most widely used models. The total number of colors that can be present in an RGB color image can be as high as 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">24</sup> = 16777216. All devices may not be able to efficiently process these high numbers of colors and most importantly, all these colors may not be of much significance from the perspective of human vision or various types of applications. In this paper, we have used partition-based clustering algorithms such as K-Means++, K-Medoids, Fuzzy-C Means, and Self-Organizing Maps to reduce the number of colors in RGB images from 16777216 to as small as 512 (i.e from 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">24</sup> to 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">9</sup> ) colors. According to the experimental results, K-Means++ clustering gives better performance in comparison to the other three clustering methods for color quantization.
A fast method for impulse noise reduction in digital color images using anomaly median filtering

The traditional vector median filtering and its variants used to reduce impulse noise in digital color images operate by processing over all the pixels in the image sequentially. This renders these filtering methods computationally expensive. This paper presents a fast method for reducing impulse noise in digital color images. The key idea here is to slice each row of the image as a univariate data vector, identify impulse noise using anomaly detection schemes and then apply median filtering over these to restore the original image. This idea ensures fast filtering as only the noisy pixels are processed. Using simulations, we show that the proposed method scales efficiently with respect to accuracy and time. Through a combined measure of time and accuracy, we show that the proposed method exhibits nearly 42% improvement over the conventional ones.
Соціальна мережа як онлайн-платформа експериментальної художньої літератури

The article deals with the development of digital literature. It is examined the potential of social networks in creating relevant literary texts that take into account the preferences of users and the very change in reading quality: the predominance of short forms, combining verbal and visual content in one semantic core. It is emphasized that social networks influence the development of the book market and literature, in particular, unite writers, provide resources for the promotion, sale of works of art, become creative platforms for artistic experiments. Social networks “Twitter” and “Facebook” are becoming especially popular among creative people. It has been determined that original genre forms appear on Twitter, along with a kind of reworking of classic texts - prose, poetry, dramatic works, in which the minimum number of characters is combined with an extremely emotional load and deep subtext. An interesting example of the use of Facebook as a platform for artistic experimentation is the successful attempt of Ukrainian author O. Shynkaruk, who createed a Facebook novel. In addition to the story itself (which is about the world 100 after the Russian-Ukrainian war that lasted 100 years), there are author’s and readers’ comments that create an atmosphere of interactivity. In the comments, the author reveals the ideas of his plan, sometimes clarifies and clarifies unclear points. With separate hypertext references O. Shynkarenko introduces into the text his own musical compositions, interludes in the genre of “concrete” music. The visual images complement the verbal, and visual metaphors and actualize additional meanings. The emergence of various genres of Twitter literature, Facebook novels shows that artists are looking for new ways to create texts, new ways to include contemporaries in literature and the formation of a “new reader”. The article tries to prove that the online literature format offered by the social networks “Twitter” and “Facebook” is not a sign of a simplification of the literary text, but a manifestation of literary game and artistic experimentation in the digital age.
Enterprise Architecture Planning Sistem Informasi Rumah Sakit Umum Daerah (Studi Kasus Rsud Soreang)

Enterprise architecture planning is a tool that aims to create an alignment between information technology and business for organizational needs. In this case, we will discuss how to use the TOGAF framework in creating an enterprise architecture plan with four components, namely business architecture, information (data), technology, and applications. The Hospital Information System (SIRS) provides services to the community in accordance with Health Law no. 22 of 2004. The objects involved in planning this architecture have a big role in service as the main business, so it can be concluded that the role is active when there is a change in the information system architecture, for example in Soreang Hospital. The results of this study are in the form of an information technology blueprint based on the TOGAF roadmap.