Reviewerly/exHarmony huggingface dataset:
The triumph of imagology—a paradise for tricksters?

Chapter 10 starts to connect the themes discussed in Chapters 2–9, to formulate additional ideas, insights, and results based on synthesis as well as summaries and conclusions. The chapter starts by addressing post-affluence and, in particular, how expectations of the good consumption and working life are gradually raised so that reality, when salient, may be a source of frustration and disappointment more often than delivering what it should. The chapter also addresses how the understanding of grandiosity and illusion can be further developed through the use of Kundera’s concept imagology, drawing, in particular, upon Kundera’s claim that people occupied by imagology constitute a broad, diverse, but rapidly expanding set of occupations leading to the road to grandiosity.
Face Recognition for Surgical and Non-surgical Faces Using Patch-Based Approach

Face Recognition (FR) is the task of remembering the individuals from their faces rather than any other body parts. In addition to all existing non-surgical challenging problems, Facial Plastic Surgery (FPS) is one of the most recent challenging issue to FR problems. Specifically, FPS is the medical process of restoration, reconstruction, or enhancing the appearance of some portion of the face. FPS causes significant difficulties since it permanently alters some face features, which alters the facial appearance further. These challenging issues of variations in facial appearances either due to non-surgical or surgical conditions motivate us to understand the effect of each on FR, respectively. The study of face recognition has been conducted in this chapter in non-surgical and surgical situations using a patch-based approach in which facial statistical features are extracted for recognition using a nearest neighbor concept such as a k-NN classifier. The resented study is tested on different facial datasets.
Perception and Cognition

Chapter 19 presents a view of the perceptual and perceptual-motor systems as large, unified systems representationally dominated by perception and practically dominated by conation. Relations between perceptual-level capacities and concepts, or other cognitive capacities, are characterized with considerable specificity. The discussion lays out recent history of views about cognitive influence on perception. It criticizes aspects of the framework for the dispute over modularity and impenetrability of perceptual systems. Confusions in use of the term ‘cognition’ are canvassed, and a conception of psychological system, which is not in fact penetrated, that differs from the standard one (which focuses on any sort of non-pathological causal influence) and that features the computational character of actual patterns described in the science is developed. The computational account of perceptual and perceptual-motor <italic>systems</italic> is supplemented by functional considerations. Broadly empiricist ways of distinguishing concepts from perceptual attributives by featuring the supposed abstract nature of concepts, or that features their supposed simple, relative removal from the “here and now”, are criticized. A function-based account of the distinction that better accords with science is proposed. The proposed computational account of modularity is reconciled with the multi-layered and multi-directional nature of perceptual processing partly by looking in detail at empirical facts about perceptual processing and partly by appealing to the distinction between perceptual-level capacities and supra-perceptual-level capacities developed in Chapters 13–18. The discussion refines a notion of psychological system, postulated in psychological explanations. The chapter brings together and develops further criticisms of the empiricist approach to understanding perception, an approach that relies on introspection and distinguishes perception from conception by levels of abstraction. Territory between perceptual-level representation and propositional representation is explored.
Internalization of Politeness Values Through Arabic Learning

Politeness is an important moral value for the young generation. Students are the young generation who are required to communicate with polite language and tone. A number of strategies have been implemented at schools to internalize politeness values in students' daily life. However, limited studies have been conducted regarding politeness value integration through language teaching. This study studied the politeness value integration at a senior high school in Indonesia. This study use a qualitative approach in the data was gathered through direct observation, in-depth interviews, and written materials analysis. This study found that Arabic language teaching can be used to integrate politeness values through the use of Islamic teaching material. The school also provides support in creating social attitudes, especially politeness values n the school environment. This has been manifested in various Islamic teaching materials which both teachers and students used and discussed during Arabic teaching and learning. However, the school programs, especially the value of politeness internalization, have not yet been maximized and implemented because this study found the absence of planning (syllabus and lesson plans) for politeness values made by Arabic language teachers. It seems yet to become a priority activity.
Lung CT Scans Image Compression Using Innovative Transformation Approach

Doctors face difficulty in diagnosis of lung cancer due to the complex nature and clinical interrelations of computer diagnosed scan images. An image is an artifact which depicts visual perception. It contains large amount of data, hence requires more memory storage and causes incontinence for transmission over the limited bandwidth channel. By removing excessive redundant data, image compression technique reduces the amount of data required to represent an image and reduces cost of storage and transmission. Before compressing an image we are performing image transformation which consists of more number of zeros when compared to number of one’s. Image compression minimizes the size in bytes of a graphic file without degrading the quality of the image. The main aim of compression is to reduce redundancy in stored or communicated data in turn increasing effective data density. In this research work normal c code is performed the transformation and compression is being performed to get the compressed image.
Targeted Use of Deep Learning for Physics and Engineering

This chapter explores several targeted deep learning approaches that are being developed for physical systems, specifically those architectures that promote interpretable and generalizable models that remain physical by construction. Physics-based models are often derived from first principles, conservation laws, and/or empirical observations. Traditional scientific computing approaches then numerically simulate these models to provide insights into dynamical behaviors, parametric dependencies, and underlying bifurcations. The term deep refers to the number of layers in the neural network used to approximate a map from inputs to outputs; although it varies widely, five or more layers in a neural network is typically considered deep. Physics informed learning is of growing importance for scientific and engineering problems. Control theory is rapidly incorporating techniques from machine learning, and deep learning in particular. As a general rule, maximally leveraging and integrating domain knowledge into the targeted use of deep learning will result in superior performance.
Corrosion of Brass Fishing Vessel Propeller in Artificial Seawater

The propeller was an important component in the fishing vessels marine propulsion system. Brass was widely used as a fishing vessel propeller. Brass was chosen because it has good mechanical properties and good corrosion resistance. The content of seawater in Indonesia has levels of 3% – 3.5% NaCl. In addition to the level of Ion Cl-, environmental factors can affect corrosion rate of material or metal. The environmental factors that affect the corrosion rate are the level of salinity, pH, DO, temperature and TDS. The objective of the present work was to explain the corrosion rate of brass in artificial seawater in Indonesia with exposure time. The material used for research is fishing vessel propeller commercial in Indonesia market. Measurement of the corrosion rate of brass used the principle of weight loss according to ASTM G31-72 (2004). During the corrosion test, the artificial seawater solution was tested for its pH and salinity quality over time of immersion. The result of immersion brass in the artificial seawater shows that the corrosion rate decreases in 1-to-10-days exposure time due to the increase in salinity levels above 30‰. While the results of exposure time immersion above 15 days tends to increase the corrosion rate due to a decrease in pH level. pH level of seawater depends on the environmental conditions and tends not to change significantly.&#x0D; Keyword: Artificial Seawater, Brass, Corrosion Rat, pH, Salinity.
HiPS2022

Serverless computing presents an attractive model for general distributed computing as it focuses on abstracting the infrastructure required to execute an application. This workshop investigates the intersection between high performance computing and serverless computing, looking both at the high performance and distributed systems used to deliver serverless platforms and also at the use of serverless models for high performance and distributed systems.
A Study on the Fisher Information Matrix of Five-Number Summary in Normal Population

In the meta-analysis, most individual research provide information in the form of {sample mean, sample standard deviation; sample size}. This is the basis for the estimate of the parameter, its standard error, confidence interval, and hypothesis test. However, in some cases, only ‘five-number summary’ information {minimum, first quartile, median, third quartile, maximum; sample size} is given. In this case, for maximum utilization of meta-information, the work of unifying information must be preceded. In most cases, it is transformed in the form {sample mean, sample standard deviation; sample size}. Several previous studies have already suggested several methods of estimating the population mean and population standard deviation from the five-number summary under the assumption of a normal population. In performance comparison studies of these methods, Lee(2022) recently proposed the maximum likelihood estimation method and showed the superiority of it, but studies on the characteristics of the standard error of the estimates were not presented. Therefore, in this study, in order to estimate the standard error of the maximum likelihood estimate(mle) based on the five-number summary, the log-likelihood function, the score function, and the Fisher information matrix(FIM) are first derived algebraically under the assumption of a normal population, and using these we create a function that computes them easily in R. Through a simulation using these, the characteristics of the standard error of the mle are identified. In addition, after estimating the FIM of the five-number summary, it was compared with the FIM of sufficient statistics and the relative efficiency was examined.
Impact of whats app usage by the youths of davangere city

Today in rapidly moving in world, Technology is not a new concept. What’s app is an amazing application, this study revealed that what’s app is a medium of making communication simple and quicker, there-by enhancing that effective flow of information, idea sharing and connecting people easier. Present study examined that how negatively it’s impacting on youths on their life style, culture, psychological behaviour, education and routine life. This study made an attempt to assess the impact of what’s app usage by youths, with the reference of youths in Davangere region. The empirical study has been conducted upon 100 youths by using questionnaire tool to collect the lots of data relatively in shorter period of time with less cost.
Metalanguage for describing the effects of revisions

The international standard for translation services, ISO 17100, defines revision as the “bilingual examination of target language content against source language content for its suitability for the agreed purpose”. In other words, revisions, including self-revisions, are performed to make the draft translation (more) suitable for the purpose, which is the most general effect of revisions. In this chapter, the authors briefly examine the notion of effect in the context of revisions and draw insights from the field of technical writing. They describe the detailed procedure for developing a metalanguage of revision effects and provide the developed metalanguage with explanations and examples. To develop a metalanguage of revision effects, that is, an organised list of quality attributes with their aspects, the authors adopted a data-driven procedure, while referring to the previous literature on revision parameters, translation issues, and technical writing.
Quantum principal component analysis based on the dynamic selection of eigenstates

Abstract Quantum principal component analysis is a dimensionality reduction method to select the significant features of a dataset. A classical method finds the solution in polynomial time, but when the dimension of feature space scales exponentially, it is inefficient to compute the matrix exponentiation of the covariance matrix. The quantum method uses density matrix exponentiation to find principal components with exponential speedup. We enhance the existing algorithm that applies amplitude amplification using range-based static selection of eigenstates on the output of phase estimation. So, we propose an equivalent quantum method with the same complexity using a dynamic selection of eigenstates. Our algorithm can efficiently find phases of equally likely eigenvalues based on the similarity scores. It obtains principal components associated with highly probable larger eigenvalues. We analyze these methods on various factors to justify the resulting complexity of a proposed method as effective in quantum counterparts.
Design of Multi-text English Reading Instruction Aiming at Cultural Awareness Cultivation

The reading classroom is a main place for English teaching and cultural awareness cultivation. However, the limitations of the traditional English reading class with single reading material cannot meet students’ needs of comparing and discriminating among different cultures, which leads to the fragmentation of students’ acquisition of cultural knowledge and a one-sided understanding of cultural phenomena. Considering this context, the author combines the elements of multi-text reading, takes the cultural awareness cultivation objectives in the new curriculum standard as the basis to construct a multi-text reading teaching framework aiming at the cultivation of cultural awareness which includes teaching objectives, teaching contents, teaching process, and teaching evaluation.
An Analysis on Writing Anxiety of Indonesian EFL College Learners

This study aims at analyzing the writing anxiety of English students of an Islamic State College in East Java, Indonesia. This study described the levels, dominant type, and main factors of writing anxiety of the English students. Fifty English students at the fourth semester participated in this study. Two closed-ended questionnaires, Second Language Writing Anxiety Inventory (SLWAI) proposed by Cheng, and Causes of Writing Anxiety Inventory (CWAI) proposed by Rezaei and Jafari were employed to collect the data. The findings revealed that 54% of the students experienced high level of writing anxiety, 44% experienced moderate level of writing anxiety, and 2% experienced low level of writing anxiety. The dominant type of writing anxiety was cognitive writing anxiety, which is based on the highest mean among two other types of writing anxiety. Then there are four main factors that cause writing anxiety. They are linguistic difficulties, fear of teachers’ negative comments, insufficient writing practice, and time pressure.
Vibrational (Infrared, Raman) and Thermogravimetric Study of Copper Ore from the Deposit at Tchirozerine, Agadez (Niger)

Agadez is the mining region of the republic of Niger in which all kinds of ore are found. Copper would have been exploited and refined in Niger in the 15th century in the province of Azelik, region of Agadez. In this context, it is important to use mew techniques to characterize the mineralogical variability of copper ore. The collected sample was analyzed by X-ray diffraction, Thermogravimetric analysis and spectroscopies (infrared and Raman). The results of the X-ray diffraction of the ore show that the sample corresponds to an association between brochantite and biotite, dominated by brochantite. The thermogravimetric analysis indicates that the sample was stable up to 200°C and above this temperature, the solid decomposed in a series of three decomposition stages. Raman and infrared spectroscopies show the fundamental vibration of sulfate ion which functioning as a unidentate because the effective symmetry is lowered to C3v. &nbsp
The Concept of Creating a Software Digital Twin of an Electronic Device

The concept of creating a software digital twin of electronic devices is considered. This digital twin can be used as the basis of virtual simulators that are part of electronic teaching and training aids in the field of operation of high-tech products (electronic devices). Definitions, goals, problems of the electronic device digital twin are given. Also, digital twin structure and a variant of its implementation using web technologies are introduced.
SURVEY ON THE STATE OF DIGITAL HUMAN RIGHTS MANAGEMENT AND INTERNET USE IN UGANDA

There is tremendous increase in the use of Internet across the world including Uganda. Freedom of internet use including documentation of rights violation has been done in Uganda, defending the rights of victims has been low because the existing legal framework and new policies limiting internet access, free speech have further suffocated them. The paper presents results from a study conducted using mixed methods approach on the digital human rights in Uganda. Data collection (qualitative and quantitative) techniques applied and followed by a rigorous systematic scientific inquiry along the processes of; facts determination, analysis and reporting. The aim of the study was to explore the uncertainties in the policies that limit the use of internet and digital human rights enjoyment. Of the 525 target respondents, 547 participated in the study with; 451 citizens, 17 media, 41 state actors, 17 special interest groups, 9 women rights activists and 12 others. Furthermore, the results showed that the factors hindering the enjoyment of digital rights and internet freedoms include government failure to monitor set policies, failure to sensitize people on digital rights, limited knowledge on existence of digital rights, high charges on using social media and gender inequality.
Classification of Drought Impact by Drought Vulnerability Indicators in Probolinggo Regrency Using Naive Bayes

Drought in Probolinggo is a big problem because most of the people in this work as farmers. Drought is a natural phenomenon, difficult to define due to differences in hydrometeorological variables and socio economic factors along with the stochastic nature of water demand in various regions. Resident vulnerability to drought hazard is varie. Vulnerability can be measured using vulnerability indicators such as economic factors, social factors, and ecological factors. This research used several vulnerability indicators to classified the impact of drought in three villages in Probolinggo Regency (Sumberkare, Tandonsentul, and Tegalsono). The classification method used in this research is Naïve Bayes. The 10-fold cross validation method was used to train the developed predictive model and the performance of the models evaluated. The accuracy of drought impact by the naive bayes is 85,90 %. Naïve Bayes classifier classify indicators of the impact of drought accurately.
Artificial Intelligence and Hospital Automation

AI can be thought of as two broad categories. The first – methods – includes expert systems, machine learning, and neural networks. Learning or smart systems that get smarter as they are exposed to more data fall into this methods category of AI. The second – applications – includes all of the ways we convert intelligence into outcomes. These encompass natural language processing, speech recognition, robotics, and predictive analytics. While the field of AI is broad and becoming more so daily, this chapter is focused specifically on the AI applications we can expect to impact healthcare in the next decade.
An exploratory study on the effect of mental rehearsal on the virtual body swapping illusion

The body swapping illusion is a perceptual phenomenon in which one perceives a virtual (or another) body as being one’s own. The aim of this study was to investigate the effects of mental rehearsal on the generation of the body swapping illusion. Participants were 58 male undergraduate students. Participants were randomly assigned to either the physical rehearsal (n=20), mental rehearsal (n=18), or control condition (n=20). There were no significant differences in state and trait anxiety, simulator sickness, or immersive tendencies between groups, but there were significant differences in the body swapping illusion and a sense of presence between conditions. Subsequent post-hoc analyses revealed that the body swapping illusion was significantly greater in the physical and mental rehearsal conditions than the control condition, and the sense of presence was significantly greater in the physical rehearsal than in the control condition. In conclusion, we found that mental rehearsal exerted similar effects as physical rehearsal ingenerating the illusion of body swapping. This suggests that generating the illusion of body swapping through mental rehearsal may be applicable in clinical settings.
Designing Metadata Creation Interface and Geographic Search Mechanism for Institutional Digital Repositories

Various organisations have established institutional digital repositories to preserve important documents and provide digital library and information services. Installing software and uploading files is only one aspect of creating a digital library; it is necessary to include metadata based on a standard metadata schema. This article presents techniques that are examined based on various digital library software applications. The focus of this paper is on different search techniques, such as text search, advanced search, and quick search. For fast data entry, the Gems script was utilized in metadata design. For convenient searching of digital library materials, it completely supports metadata indexing and browsing classifiers. The process of metadata creation and the geographic search mechanisms is important in institutional repositories. These two tasks have been completed utilizing Greenstone for metadata development and DSpace's quick map for geographic search mechanisms.
Modeling NFT Investor Behavior Using Belief Dissensus

Investment into non-fungible tokens (NFTs) has skyrocketed in 2021. Since NFTs are issued on blockchains, the underlying operation is that of a social computer—therefore, modeling social cognition in NFT markets becomes relevant. Market participants (coll
The Age of Quantum Superiority

For many years, Quantum was a leap into the world of science fiction. Today, we are on the verge of a breakthrough in technology that defines logic. This chapter will give an overview of a discipline known as quantum computing and its superiority in terms of its presence in everyday life. To understand quantum, we must know the atomic and sub-atomic levels of quantum computing and its nature. Through this chapter, we will understand quantum and its presence in various fields of life and how it achieved its supremacy. How does quantum work, its purpose and limitations have also been covered.