Reviewerly/exHarmony huggingface dataset:
The Haptic and the Emerging Critical Discourse on Artists’ Books

Tim Mosely’s PhD (completed in 2014) addressed the research question - can the haptic inform the emerging critical field of artists books? The original creative works he produced through studio based research critically respond to artists books discourse and practice. His research established that haptic aesthetics; historically informed the emergence of artists books as a field of art practice, continues to shape the field’s developing critical terminology, and that studio research into the haptic touch must inform the field’s maturation. Two prominent figures within these fields, Johanna Drucker and Anni Albers, placed calls within the literature for terminology and vocabulary that facilitate the critical maturation of both artists books and haptic aesthetics. This essay, published within the leading journal in the field (The Journal of Artists Books, published by Columbia College Chicago) and now being cited within the literature, initiates Mosely’s contribution in these fields to that end. The essay specifically relates Gilles Deleuze and Felix Guattari’s theorisation of the haptic to artists book practice. By positioning terminology and vocabulary drawn directly from his studio and literature research into the discourse Mosely expands the capacity of the discourse to articulately engage the haptic touch of books. The terminology includes; the haptic touch, smooth space, striated space, directed smooth space and haptic and optic modes of production.
Data Storage in the Oracle Cloud

There are many ways to store data in Oracle Cloud. A lot will depend on the type of data, application context, and data usage patterns that apply to a particular use case or user story. This chapter will focus solely on one of the most popular approaches to store data in the cloud, namely, object storage.
Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion

Image-to-image translation aims to change attributes or domains of images, where the feature disentanglement based method is widely used recently due to its feasibility and effectiveness. In this method, a feature extractor is usually integrated in the encoder-decoder architecture generative adversarial network (GAN), which extracts features from domains and images, respectively. However, the two types of features are not properly combined, resulting in blurry generated images and indistinguishable translated domains. To alleviate this issue, we propose a new feature fusion approach to leverage the ability of the feature disentanglement. Instead of adding the two extracted features directly, we design a joint block fusion that contains integration, concatenation, and squeeze operations, thus allowing the generator to take full advantage of the two features and generate more photo-realistic images. We evaluate both the classification accuracy and Fréchet Inception Distance (FID) of the proposed method on two benchmark datasets of Alps Seasons and CelebA. Extensive experimental results demonstrate that the proposed joint block fusion can improve both the discriminability of domains and the quality of translated image. Specially, the classification accuracies are improved by 1.04% (FID reduced by 1.22) and 1.87% (FID reduced by 4.96) on Alps Seasons and CelebA, respectively.
Aggressive Communication at the Turn of the XX–XXI Centuries (Psychological Operation of the USA)

The article dealswith theproblems of conductingpsychological operation inthe context of informationand psychological impactused in the US armed forces.The role of informationweapons as a tool of aggressive communication is analysed. Classification ofpsychological operationsdeveloped at the end of thetwentieth century in NATO is considered. The action of PSYOP at the strategic, operational and tactical levels are distinguished. Theeffectiveness of planning and implementation ofspecific measures of PSYOP is assessed.
INTERNET OF THINGS (IoT) IN HEALTH INDUSTRY

Abstract— In the digital age, IoT has become a part of our daily activity, which is linked with machines, people, time, locations, and required a network, which fully integrated into what is known as IoT (Internet of Things). The Internet of things has become the most significant technology that connected people and technology [3]. The goal of the IoT in healthcare is to monitor patient safety by using technology, it to avoid the critical quality of life by using intelligent IoT environments. The protection of data with IoT is highly complex and hard because IoT is the main issues of worldwide connectivity and availability. Design security and privacy must be part of any case, project, or installation of IoT use. Several articles have worked with various technology and energy efficiency on the access control system. Few reports suggested multiple kinds of authentication protocols. A scheme is needed to fuse the authentication protocol with the mechanism of effective access control and to counter other assaults on patient safety and privacy information. Following the methodology for the contract of authentication, access control, and the mechanism for energy- efficient access control, it is suggested to adopt mixed methods to balance the gap.
Gradient-Domain Methods for Realistic Image Synthesis

Realistic image synthesis, i.e., the creation of photographs of virtual environments by numerical simulation of light, is present in the lives of most people in the form of movies and advertising. Its results are often almost indistinguishable from reality, but the methods are computationally intensive and often require supercomputers. This thesis presents new methods for realistic image synthesis with the potential to reduce rendering times, costs, and environmental footprint. The rendering equation describes the transportation of light as it repeatedly scatters around a virtual environment. The light arriving at a virtual sensor produces a virtual photograph. Typical solutions evaluate the pixel colors by randomly sampling numerous paths by which light can reach the sensor and evaluate their average contribution. The methods presented in this thesis work in the gradient-domain: In addition to sampling the colors, they directly evaluate the finite differences between adjacent pixels and reconstruct the image as an integration problem. This allows the solution to utilize the similarity of the light transport behind close-by pixels. Gradient-domain rendering was recently proposed in the context of Markov Chain Monte Carlo, but the feasibility of gradient-domain rendering in the more common traditional Monte Carlo context was left unanswered. This thesis presents four new gradient-domain Monte Carlo rendering methods. The first two methods evaluate the image gradients by constructing highly correlated pairs of paths for adjacent pixels. Subtracting their contributions produces typically lower-noise gradients since correlation decreases variance in subtraction. A screened Poisson equation combines the high frequencies captured by the gradient samples with the low frequencies of the color samples. This results in images that typically have less high-frequency noise. The third method is an extension to animation. It evaluates gradients also in the time-dimension by rendering each image in two parts, with random seeds shared between the previous and the next frame. Subtracting the images rendered with the same random seed produces the time component of the gradients. A spatiotemporal reconstruction results in decreased flickering in animation. The last method is a deep convolutional neural network that replaces the screened Poisson reconstruction. The network is trained to map the sampled colors and gradients to noise-free reconstructions by minimizing a neural perceptual image distance function. This improves the sharpness of the reconstructions. The gradient inputs improve especially the quality of shadows.; Realistinen kuvasynteesi eli realististen virtuaalisten valokuvien luominen laskennallisesti on lasna monien ihmisten arjessa esimerkiksi elokuvien ja mainosten muodossa. Sen tuloksia on usein lahes mahdoton erottaa aidoista, mutta menetelmat ovat raskaita ja vaativat usein supertietokoneen kayttoa. Tama vaitoskirja esittelee uusia laskennallisia menetelmia, jotka voisivat joissakin tapauksissa pienentaa…
Laconic Conditional Disclosure of Secrets and Applications.

In a Conditional Disclosure of Secrets (CDS) a verifier V wants to reveal a message m to a prover P conditioned on the fact that x is an accepting instance of some NP-language L. An honest prover (holding the corresponding witness w) always obtains the message m at the end of the interaction. On the other hand, if x ∉ L we require that no PPT P* can learn the message m. We introduce laconic CDS, a two round CDS protocol with optimal computational cost for the verifier V and optimal communication cost. More specifically, the verifier’s computation and overall communication grows with poly(|x|; λ; log(T)), where λ is the security parameter and T is the verification time for checking that x ∊ L (given w). We obtain constructions of laconic CDS under standard assumptions, such as CDH or LWE. Laconic CDS serves as a powerful tool for maliciousifying semi-honest protocols while preserving their computational and communication complexities. To substantiate this claim, we consider the setting of non-interactive secure computation: Alice wants to publish a short digest corresponding to a private large input x on her web page such that (possibly many) Bob, with a private input y, can send a short message to Alice allowing her to learn C(x; y) (where C is a public circuit). The protocol must be reusable in the sense that Bob can engage in arbitrarily many executions on the same digest. In this context we obtain the following new implications. 1) UC Secure Bob-optimized 2PC: We obtain a UC secure protocol where Bob’s computational cost and the communication cost of the protocol grows with poly(|x|; |y|; λ; d), where d is the depth of the computed circuit C. 2) Malicious Laconic Function Evaluation: Next, we move on to the setting where Alice’s input x is large. For this case, UC secure protocols must have communication cost growing with |x|. Thus, with the goal of achieving better efficiency, we consider a weaker notion of malicious security. For this setting, we obtain a protocol for which Bob’s computational cost and the communication cost of the protocol grows with poly(|y|; λ; d), where d is the depth of the computed circuit C.
SISTEM PAKAR MENDIAGNOSA PENYAKIT CACINGAN PADA KAMBING ETAWA DENGAN MENGGUNAKAN METODE TEOREMA BAYES (STUDI KASUS : PUSAT KESEHATAN HEWAN WILAYAH I LUBUK PAKAM)

The expert system is a branch of artificial intelligence that analyzes how to adopt the mindset of an expert to overcome a problem and make a decision. In utilizing the Expert System, especially animal health at the Lubuk Pakam Region I Animal Health Center, doctors at the Lubuk Pakam Region I Health Center collect various information which will then be carried out on animal health management. This research was conducted using the Bayes Theorem Expert Method System. In this study, the value obtained from the Bayes theorem calculation results based on the diagnosis taken from the highest value, which is the possibility of worm disease with a value of 65,850%.
Mobile Application: Literary Reading Through Augmented Reality for Form 1 Students

Literature-based instruction is one of the approaches to teach students to read and it has been applied in English language class in secondary high school in Malaysia. There are many reading materials such as short stories, novel, and poems used as literature-based instruction approach. Literature-based instruction also helps in language growth such as English proficiency. However, using this approach is quite challenging for teachers as they need to come out with activities that require them to evaluate the content of the reading material and attract students that have no interest in reading. This will be time-consuming as the time is used to develop the activities. To improve the learning method and improve students performance in class, a mobile learning application will be developed which is an interactive AR literary reading application. This application is based on a short story taken from a Form 1 book which contains the literature component. It has simple animations and buttons were used to navigate thrrough the application. It aims to encourage the students to learn reading and improve their motivation in class using AR. Other activities were also included for better understanding of the reading materials. This application creates a new fun and joyful learning ambience in the classroom.
La recuperación de los derechos de copyright: derecho de revocación y work made for hire en el derecho norteamericano y español

espanolEste trabajo tiene como objetivo analizar en clave de derecho comparado la sentencia del United States Court of Appeals for the second Circuit, de 21 de agosto de 2019, que versa sobre la recuperacion de los derechos de copyright de seis bandas sonoras compuestas por el autor Ennio Morricone para seis peliculas italianas, los cuales habian sido cedidos a la compania Edizioni Musicali Bixio. Dos son los puntos principales de la sentencia que pretenden analizarse comparando la legislacion norteamericana y la espanola. El primero es el derecho de revocacion de los contratos cuando transcurre un periodo de tiempo determinado, que en derecho espanol presenta cierta analogia con el derecho de revision por remuneracion no equitativa. El segundo es la figura juridica del work made for hire, como excepcion al derecho de revocacion. Por ultimo se incide en el Derecho aplicado al caso concreto y el derecho utilizado para la interpretacion de las clausulas contractuales. EnglishThis work aims to analyze the judgment of the United States Court of Appeals for the second Circuit, of August 21th, 2019, which deals with the recovery of the copyright of six soundtracks composed of the author Ennio Morricone for six Italian films, which have been transferred to the company Edizioni Musicali Bixio. Two are the main points of the sentence that are intended to be analyzed comparing US and Spanish legislation. The first point deals about the revocations rights recognized by the Copyright act in assignment contracts when a certain period of time elapses. This right n presents a certain analogy with the right to review for non-fair remuneration recognized by Spanish Copyrihgt Act. The second point deals about the legal figure of work made for hire, as an exception to the right of revocation. Finally, reference is also made to the interpellation of the contractual clauses and the Law applied to the specific case
Development of a Game-Based e-Learning System with Augmented Reality for Improving Students’ Learning Performance

Currently, the school children usually spend a lot of time on the games in their recreational activities and some of them are even addicted to the games. Compared with other extracurricular activities, the e-Learning system reflects the fact that school children are very interested in the games. As a result, educators have lately craved to develop effective teaching activities that allow the school children to learn some subjects and to play the games simultaneously.  Therefore, this study is based on an e-Learning system which combines the serious game by Unity3D Game Engine with augmented reality (AR). Students are able to acquire their knowledge and to foster logical skills via this game-based e-Learning system. According to its efficacy and utilities, this study has assessed and compared the game-based e-Learning system with the traditional learning and other e-Learning systems. The experimental results have indicated that the proposed game-based e-Learning system can outperform other existing systems.
VIEWS AND PERCEPTIONS OF TEACHERS IN SPECIAL EDUCATION IN GREECE REGARDING ICT

There has been a lot of research about teachers’ perceptions in special education (special educators) towards ICT use in mainstream schools demonstrating positive and negative standpoints. This survey the aims to find out special educators’ views on ICT integration in mainstream schools in Thessaloniki. Objectives of the research are searching which types of ICT tools are used, what are the obstacles to ICT integration, and which are the benefits for students and special educators by the use of ICT. As the main aim of the present research is to explore the deep beliefs of special educators, qualitative method was used. The methodological tool used was the semi-structured interview which revealed a variety of aspects around ICT use. The sample consisted of fifteen participants all working at public mainstream schools in the area of Thessaloniki. Thematic analysis was used to analyze data and four themes related to study’s objectives occurred: Advantages of ICT, Barriers that hinder ICT integration, Types and access to ICT tools and Obligation to use ICT. According to the findings of the research, the majority of the sample is positive towards utilizing technologies. Despite a range of ICT benefits described by the interviewees, significant obstacles hinder ICT integration. ICT could only be integrated efficiently if curriculum changes occurred. Article visualizations:
Solving the Problem of the 8 Queens Using Harbour Language

In this article we present the solution to the classic 8 queens problem which aims to look for states on a chessboard where 8 queens are positioned without one attack to another, that is, they should not share columns, rows or diagonals.
NOVEL PUTRI KUNANG-KUNANG KARYA TITI SETIYONINGSIH SEBAGAI MATERI AJAR BAHASA INDONESIA: KAJIAN STILISTIKA

This research aims to describe (1) the choice of words ; (2) language style; (3) imagery; and (4) its relevance towards Bahasa Indonesia learning process in high school regarding to “Putri Kuninang-Kunang” novel written by Titi Setiyoningsih. This study counts as qualitative reasearch using a novel entitled “Putri Kunang-Kunang” written by Titi Setiyoningsih, and the informants including teachers and students as the source of data. This research not only observed and recorded the choice of words, diction, and imagery  as the data but also combined the data with the informants statements to get the whole data. The technique took purpose sampling as the technique. The validity data was tested using triangulation method. The flowing analysis were chosen to analyse the whole data through the data reduction, the data presentation, and the conclusion. The result found that: (1) Dictions; there were 13 words related to personal characteristics, 2 grossier words, 12 loanwords, 6 nature reality words; (2) Language style or figurative language; there were 2 similes, 4 metaphores, 10 personifications, 2 pleonasms, 6 hyperboles, 1 satires, 2 paradox, 1 ironi, 2 sinism, 4 saracasms, 1 metonymy; (3) Imagery; there were 14 visual imagery, 8 auditory imagery, 4 olfactory imagery, 2 gustatory imagery, 17 movement imagery, and 4 touch imagery. The amount of the imagery had various numbers depends on its imagery. (4) The Novel entitled “Putri Kunang-Kunang” connected to Bahasa Indonesia learning process in High School as a teaching material of literary (novel) appreciation.
COMPARISON BETWEEN QUANTITATIVE BUFFY COAT (QBC) AND OPTIMAL TEST FOR MALARIA DIAGNOSIS AT DMC, LAHERIASARAI, BIHAR

The National Vector Borne Disease Control Programme (NVBDCP) of India reports about 2 million malaria parasite positive cases annually, of which about 50% are Plasmodium falciparum. The gold standard for malaria detection is microscopic detection which is tedious and dependent on technical expertise. Therefore tests like Parahit total, Advantage mal card, and QBC have been introduced. In view of the seriousness of the malarial infection and paucity in current availability of diagnostic facilities across India.
Automated Proof of Bell-LaPadula Security Properties

Almost fifty years ago, D.E. Bell and L. LaPadula published the first formal model of a secure system, known today as the Bell-LaPadula (BLP) model. BLP is described as a state machine by means of first-order logic and set theory. The authors also formalize two state invariants known as security condition and *-property. Bell and LaPadula prove that all the state transitions preserve these invariants. In this paper we present a fully automated proof of the security condition and the *-property for all the model operations. The model and the proofs are coded in the {log} tool. As far as we know this is the first time such proofs are automated. Besides, we show that the {log} model is also an executable prototype. Therefore we are providing an automatically verified executable prototype of BLP.
Automating Cloud Infrastructure

Cloud computing cannot exist without automation. The entire idea about rapid self-provisioning of pooled cloud resources (compute instances, storage, virtual networking, and many others) is built on an assumption that the whole provisioning process, from the beginning to the end, is fully automated. Simply because there are no manual steps involved, it is possible to represent the complete cloud infrastructure in a form of scripts and templates that are used to remotely manage cloud resources. Figure 3-1 shows a mind map of a few related operational characteristics which are enabled through the automation.
SEAL: Sealed-Bid Auction Without Auctioneers.

We propose the first auctioneer-free sealed-bid auction protocol with a linear computation and communication complexity $O(c)$ , $c$ being the bit length of the bid price. Our protocol, called Self-Enforcing Auction Lot (SEAL), operates in a decentralized setting, where bidders jointly compute the maximum bid while preserving the privacy of losing bids. In our protocol, we do not require any secret channels between participants. All operations are publicly verifiable; everyone including third-party observers is able to verify the integrity of the auction outcome. Upon learning the highest bid, the winner comes forward with a proof to prove that she is the real winner. Based on the proof, everyone is able to check if there is only one winner or there is a tie. While our main protocol works with the first-price sealed-bid, it can be easily extended to support the second-price sealed-bid (also known as the Vickrey auction), revealing only the winner and the second highest bid, while keeping the highest bid and all other bids secret. To the best of our knowledge, this work establishes to date the best computation and communication complexity for sealed-bid auction schemes without involving any auctioneer.
Diversity-Aware Recommendation by User Interest Domain Coverage Maximization

Diversity-oriented models have been developed to recommend top-K items, which utilize some static parameters to make a trade-off or construct an objective function, derived from item relevance and item diversity. However, such a process directly narrows the interest points of the item list, and would not satisfy users' preferences very much. Besides, the static parameters mentioned above make recommendation algorithms a lack of adaptability and limit their application scenarios. Aiming at improving the adaptability and efficiency of diversity-aware recommendations, we propose a coverage-based approach according to the concepts of user-coverage and users' interest domain we have defined in this paper. Our method is parameter-free and suitable for either implicit data or explicit data. From a technique perspective, we design an improved greedy algorithm, which is used to achieve user interest domain coverage maximization, and provide solid theoretical proof about performance guarantee on efficiency and recommendation quality. During the experiments, we compare our model against two novel methods on two real-world data sets. Experimental results demonstrate the superiority of our method over the state-of-the-art techniques in terms of item relevance and diversity.