Reviewerly/exHarmony huggingface dataset:
Algorithms for Workflow Satisfiability Problem with User-independent Constraints

The Workflow Satisfiability Problem (WSP) is a problem of interest in access control of information security. In its simplest form, the problem coincides with the Constraint Satisfiability Problem, where the number of variables is usually much smaller than the number of values. Wang and Li (ACM Trans. Inf. Syst. Secur. 2010) were the first to study the WSP as a problem parameterized by the number of variables. Their paper initiated very fruitful research surveyed by Cohen, Crampton, Gutin and Wahlström (2017). In this paper, we overview more recent WSP algorithmic developments and discuss computational experiments performed on two new testbeds of WSP instances. These WSP instances are closer to real-world ones than those by Karapetyan et al. (JAIR 2019). One of the two testbeds is generated using a novel iterative approach for obtaining computationally hard WSP instances.
Yeni Nesil Pazarlama Aracı; Emoji Pazarlama: Emoji Kullanılan Reklamlara İlişkin Tüketici Tutumları Bağlamında Bir Araştırma

Purpose – Building strong and strong communication bridges between the brand and the customer is a must for success. Brands seeking to build strong relationships with their customers are looking for new ways to deliver their message to the target audience more effectively. In recent years, brands have started to communicate with their customers in a different way. Businesses tend to use emojis which are frequently used in communication in daily life in marketing activities. This trend led to the concept of o emoji marketing. Within the scope of the study, it is aimed to observe the perception of emojis on customers and the reflection of the use of emojis on consumers in marketing communication and their effects on consumption decisions. Design/methodology/approach – A questionnaire was applied to reveal the perception of emojis in consumers and to observe the effect of emojis in the purchasing process of consumers. In the scope of the research, female-male comparison was made in the context of consumer attitudes. Findings – According to the results of the research; It has been observed that individuals use emojis quite often in mobile communication processes and they pay more attention to brands that use emojis in their advertising campaigns. Discussion – Emoji marketing can be compared with different samples. New dimensions can be added to the study model. In addition to these, differentiation based on sectoral and goods and services can be evaluated with emoji marketing perspective.
Digital pedagogies for primary school science

The goals for this chapter are to support you to: Describe categories of educational technologies that can be used to support primary school students to learn science Distinguish between techno-centric and pedagogical reasons for selecting digital resources Appreciate the range of digital pedagogies and resources available to primary school teachers Australian Professional Standards for Teachers—Graduate level: Standard 2: Know the content and how to teach it (Focus area 2.6) Standard 3: Plan for and implement effective teaching and learning (Focus area 3.4)
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies

Many real-world scenarios involve teams of agents that have to coordinate their actions to reach a shared goal. We focus on the setting in which a team of agents faces an opponent in a zero-sum, imperfect-information game. Team members can coordinate their strategies before the beginning of the game, but are unable to communicate during the playing phase of the game. This is the case, for example, in Bridge, collusion in poker, and collusion in bidding. In this setting, model-free RL methods are oftentimes unable to capture coordination because agents' policies are executed in a decentralized fashion. Our first contribution is a game-theoretic centralized training regimen to effectively perform trajectory sampling so as to foster team coordination. When team members can observe each other actions, we show that this approach provably yields equilibrium strategies. Then, we introduce a signaling-based framework to represent team coordinated strategies given a buffer of past experiences. Each team member's policy is parametrized as a neural network whose output is conditioned on a suitable exogenous signal, drawn from a learned probability distribution. By combining these two elements, we empirically show convergence to coordinated equilibria in cases where previous state-of-the-art multi-agent RL algorithms did not.
A Robust Fuzzy Approach For Gene Expression Data Clustering

Abstract In the big data era, clustering is one of the most popular data mining method. The majority of clustering algorithms have complications like automatic cluster number determination, poor clustering precision, inconsistent clustering of various datasets and parameter-dependent etc. A new fuzzy autonomous solution for clustering named Meskat-Mahmudul (MM) clustering algorithm proposed to overcome the complexity of parameter–free automatic cluster number determination and clustering accuracy. MM clustering algorithm finds out the exact number of clusters based on Average Silhouette method in multivariate mixed attribute dataset, including real-time gene expression dataset and dealt missing values, noise and outliers. MM Extended K-Means (MMK) clustering algorithm is an enhancement of the K-Means algorithm, which serves the purpose for automatic cluster discovery and runtime cluster placement. Several validation methods used to evaluate cluster and certify optimum cluster partitioning and perfection. Some datasets used to assess the performance of the proposed algorithms to other algorithms in terms of time complexity and clustering efficiency. Finally, MM clustering and MMK clustering algorithms found superior over conventional algorithms.
WAB Learns: Teachers Edtech: Urkund

Find out about WAB's tech systems, tools and subscriptions and how to use them Urkund is our plagiarism detection software
The Legislative Framework in the UK on the Use of IT Technologies in Law Enforcement

The abstract of the report examines the legislative framework in the UK on the use of IT technologies in law enforcement.
The Design and Build A Field Tennis Robot With Wifi Based Hand Gesture Recognition Using PID Method

In the modern era, the world of technology is developing rapidly, especially in the field of robotics. In the field of robot industry has begun to be widely used to help ease human work. In the field of sports the use of robots has begun to develop but is limited to mere entertainment and will lack benefits. From the problems above, this final project will create a robot tennis ball taker design with wifi-based hand gesture control using the PID method. In use, this robot will be used to grab the ball by using the Accelerometer Sensor. This sensor can measure the slope of an object because it has 3 axes namely X, Y, and Z by tilting the sensor towards the front, back, sideways right and left side and wifi as a data transfer communication. In synchronizing the motor so that the robot can move stable and smooth, the PID control method is used so that the movement of the motor when turning or maneuvering becomes smooth and stable.
A Fair Model of Identity Information Exchange Leveraging Zero-Knowledge

Many companies use identity information for different goals. There are a lot of marketplaces for identity information. These markets have some practical issues such as privacy, mutual trust and fairing exchange. The management of identity information is one of the most important applications for blockchain, for which researchers have proposed a large number of models. In the present paper, an attempt has been made to solve the problems that mentioned earlier to exchange identity information on the blockchain. By using the game theory we propose a fair model of selling authorized identity information in an environment that include untrusted parties. Moreover, we employ ZK-SNARK to protect users' privacy. Also, we use proxy re-encryption to record these informations in IPFS.
Audit Pegadaian Aplication Support System Integrated Online Dengan Metode Framework COBIT

Pegadaian is a state-owned company in the Indonesian financial sector which is engaged in pawning goods. The purpose of the information system Governance audit at Pegadaian Batam Branch is to determine the level of maturity in the PASSION system. the system has been running well and then conducts an audit to find out whether the system used efficiently and effectively supports business processes. This study aims to audit information system Governance using COBIT 4.1. The method of analysis in this study uses the COBIT 4.1 framework which contains 3 subdomains, PO7, DS1, ME4. The results of this study are the maturity level of information systems in the PO7 domain with a value of 2.34, in the DS1 domain with a value of 2.37, and in the ME4 domain with a value of 3.54. so that the maturity level of the Batam City Pegadaian information system is the average level 3 (Defined).
Image encryption algorithm using chaotic maps and cellular automata

Nowadays, some encryption schemes are not sensitive enough to plain-image, which leads to poor robustness and the scheme is vulnerability to attacks.By employing chaotic maps and cellular automata (CA), a novel image encryption algorithm is presented in this work to increase the sensitivity to plain-image and improve the security.Firstly, initial values of the two-dimensional Logistic-Sine-coupling map (2D-LSCM) and the Logistic-Sine-Cosine map (LSC) are calculated by the SHA-256 hash value of original image, and the process of diffusion is conducted next.Secondly, the key matrices are produced by iterating chaotic map in the process of permutation.The diffused image is scrambled by the index matrices, which are produced by sorting every row or column of the key matrices.Finally, the previous scrambled image is transformed into cipher-image by using CA.The experimental results and theoretical analysis prove that the proposed scheme owns good security as it can effectively resist a variety of attacks.
Survival text regression for time-to-event prediction in conversations

Time-to-event prediction tasks are common in conversation modelling, for applications such as predicting the length of a conversation or when a user will stop contributing to a platform.Despite the fact that it is natural to frame such predictions as regression tasks, recent work has modelled them as classification tasks, determining whether the time-to-event is greater than a pre-determined cut-off point.While this allows for the application of classification models which are well studied in NLP, it imposes a formulation that is contrived, as well as less informative.In this paper, we explore how to handle time-to-event forecasting in conversations as regression tasks.We focus on a family of regression techniques known as survival regression, which are commonly used in the context of healthcare and reliability engineering.We adapt these models to time-to-event prediction in conversations, using linguistic markers as features.On three datasets, we demonstrate that they outperform commonly considered text regression methods and comparable classification models.
EXAMINING THE PLACE OF AUGMENTED REALITY APPLICATIONS IN EDUCATION

The changing perception of life in the 21st century has highlighted the use of technological opportunities in education and artistic studies. The concept of digitalization has gained importance with the Internet usage reaching 60 percent of the world population and expanding the content of technological applications. Augmented Reality (AR), which is a system based on the integration of objects that do not physically exist in the environment into the environment through technology, plays a role in the concretization of the abstract part of learning. In augmented reality, it is the combination of a virtual image on a real space or object. The additional knowledge approach prepared within the scope of enriching the lifelong learning content can be conveyed with the innovations brought by technology and different techniques. Organizing educational environments through interactive applications triggers a more enjoyable learning process for teachers and students. Within the scope of this study, the function of Augmented Reality applications to provide additional information on education is considered. AR applications included in the educational process in visual presentation, theories and process design ensure multidimensional learning.
Attitude Towards Media And Technology And Attitude Usage As Perceived By The Youth In Edamalaipatty Pudur, Tiruchirappalli.

In current world, social media plays an indispensable role in our society, as every operations depends on it. Undoubtedly technology helps the man kind in plethora ways but in the other flip side it also gives some cons of it. As everyone knows that youths are the back bone of our country, and social media had tempt youth students to the extreme level because of various reasons. So the researcher tries to explore the usage of social media in the various aspects like Smart phone usage, General social media usage, Internet searching, E mailing, Media sharing, Text messaging items, video gaming, online friendships, Facebook friendships ,Phone calling and TV viewing. This study examined the usage of social media among college students in Trichy district with the sample size of 30.The main aim of the research is to measure the attitude towards media and technology perceived by the youth. The researcher has adopted the snow ball sampling design, Non probability method and used a self-prepared questionnaire. The data has been analysed and it is discussed as follows.
Logistic-tree normal model for microbiome compositions

We introduce a probabilistic model, called the logistic-tree normal (LTN), for microbiome compositional data. The LTN marries two popular classes of models -- the logistic-normal (LN) and the Dirichlet-tree (DT) -- and inherits the key benefits of both. LN models are flexible in characterizing rich covariance structure among taxa but can be computationally prohibitive in face of high dimensionality (i.e., when the number of taxa is large) due to its lack of conjugacy to the multinomial sampling model. On the other hand, DT avoids this issue by decomposing the multinomial sampling model into a collection of binomials, one at each split of the phylogenetic tree of the taxa, and adopting a conjugate beta model for each binomial probability, but at the same time the DT incurs restrictive covariance among the taxa. In contrast, the LTN model decomposes the multinomial model into binomials as the DT does, but it jointly models the corresponding binomial probabilities using a (multivariate) LN distribution instead of betas. It therefore allows rich covariance structures as the LN models, while the decomposition of the multinomial likelihood allows conjugacy to be restored through the Polya-Gamma augmentation. Accordingly, Bayesian inference on the LTN model can readily proceed by Gibbs sampling. Moreover, the multivariate Gaussian aspect of the model allows common techniques for effective inference on high-dimensional data -- such as those based on sparsity and low-rank assumptions in the covariance structure -- to be readily incorporated. Depending on the goal of the analysis, the LTN model can be used either as a standalone model or embedded into more sophisticated models. We demonstrate its use in estimating taxa covariance and in mixed-effects modeling. Finally, we carry out a case study using an LTN-based mixed-effects model to analyze a longitudinal dataset from the DIABIMMUNE project.
Air Horn Package For ETS2 1.35.X

Hello, my mod I present to you changes the default air horn and regular horn to a longer, realistic horn found from youtube, then extended to a ...
Consideration of the Need for Quantum Grid Computing

Quantum computing is poised to dramatically change the computational landscape, worldwide. Quantum computers can solve complex problems that are, at least in some cases, beyond the ability of even advanced future classical-style computers. In addition to being able to solve these classical computer-unsolvable problems, quantum computers have demonstrated a capability to solve some problems (such as prime factoring) much more efficiently than classical computing. This will create problems for encryption techniques, which depend on the difficulty of factoring for their security. Security, scientific, and other applications will require access to quantum computing resources to access their unique capabilities, speed and economic (aggregate computing time cost) benefits. Many scientific applications, as well as numerous other ones, use grid computing to provide benefits such as scalability and resource access. As these applications may benefit from quantum capabilities - and some future applications may require quantum capabilities - identifying how to integrate quantum computing systems into grid computing environments is critical. This paper discusses the benefits of grid-connected quantum computers and what is required to achieve this.
LibGuides: Introduction to eReading: References

Digital collections are an ever-growing part of public library catalogs. This guide will introduce users to options for accessing free eBooks at the public library. This guide is intended to be a basic guide for patrons unfamiliar with eBooks.
Investigation of forgery in speech recordings using similarities of pitch chroma and spectral flux

Forgery made by copy and moving of very short segments of speech, followed by placed up-processing operations to remove signs of the forgery, gives the forensic identification incredible challenge.in this paper, an approach with features spectral flux, Pitch chroma and tonal power ratio is proposed to identify the speech forgery. A database is prepared for the speech recordings with a positive sentence and corresponding negative sentence. Then the positive sentence is made negative sentence by forging. These recordings are used as database for the feature extraction. Dynamic time warping is done to measure that function set’s similarities. By contrasting the similarity level using threshold limit in speech recording, one can identify the forgeries of replica-passes. The proposed approach can be very useful in detecting and finding replica-moving forgeries, even as fast as one voiced speech section on a solid segment of speech. The recommended technique is stout in resisting to numerous varieties of generally used post-processing practices and highlights the hopeful accuracy of the presented method to locate copy&move forgery in speech.
Research and Application of the Combination of Online and Offline Teaching Mode in Organic Chemistry

Facing the current situation of organic chemistry courses in colleges and universities, such as too much content, insufficient class hours, insufficient students' absorption and inadequate practice, this paper effectively introduces the combination of online and offline teaching mode in the teaching process of organic chemistry.This teaching mode is diversified and has strong advantages.It gives full play to the leading role of teachers in guiding, inspiring and supervising in the teaching process, stimulates students' interest in learning, promotes teachers' teaching reform ability, and achieves good teaching effect.
Relationship between Character and Socio-psychological Adaptation of Personality to Higher Education

The article presents the results of an empirical study of the relationship between character and socio-psychological adaptation of the individual to university education. Concepts analyzed: character, adaptation, socio-psychological adaptation to learning, adolescence. Diagnostic research methods were used (Oldham-Morris questionnaire to determine personality types and Rogers-Diamond research methods to determine socio-psychological adaptation of personality); methods of mathematical statistics. In the field of psychological and pedagogical research, the problem of adaptation of students is one of the priorities, as it is located at the junction of different fields of knowledge that are crucial in the modern conditions of higher education. The purpose of the study: to identify the relationship between personality types and socio-psychological adaptation in students. The conducted empirical research allows to draw the following conclusions: in general, the subjects had a high level of adaptation, self-acceptance, acceptance of others, emotional comfort, internality, which indicates good social adaptability; the average level of desire for domination, which allows them to have self-esteem, not to be constantly subordinate to others, but also does not lead to authoritarianism, dictatorship. Among the personality types of the most popular is the "Honest" type, also common are "Dramatic" and "Active".
IMPACT STRENGTH TEST ON ADDITION OF AGAVE SISALANA FIBER AND E-GLASS FIBER IN ACRYLIC RESIN DENTAL PLATE REPAIR

Introduction: Acrylic resin is the most common material for the denture base because the acrylic resin has good esthetics, ease of processing, reparability, and inexpensive. A disadvantage of acrylic resin is that it is easy to be cracked. One of the ways to resolve this problem is by adding agave sisalana fiber and E-glass fiber. The purpose of this study was to find out the effect of the addition of agave sisalana fiber and E-glass fiber on the impact strength of an acrylic resin denture plate reparation. Material and Method: The experiment involved twenty-seven plates of heat-cured acrylic with the dimensions of 55x 10 x 10 mm with the 26 x 5 x 4 mm for the cavity to measure, each measurement divided into three groups, with nine samples for each group. The first group was a control group (without fiber), the second group was a group with agave sisalana fiber addition, the third group was a group with e-glass fiber addition. All plates were soaked in distillation water for one day at 37o C. Plates were tested for impact strength using the Charpy method. All data obtained were analyzed with one-way ANOVA followed by LSD (Least Significant Difference) with p&lt;0,05. Result and Discussion: The result showed that the influences of impact strength between without fiber with agave sisalana fiber and E-glass fiber addition on acrylic denture reparation. Acrylic denture reparation in both fibers with concentration 3,3%, agave sisalana fiber has the highest impact strength rather than e-glass fiber. Conclusion: The conclusion of this study is that there is an increase in impact strength with agave sisalana fiber and E-glass fiber addition on acrylic denture reparation and agave sisalana fiber has the highest impact strength.
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators

In temporal difference (TD) learning, off-policy sampling is known to be more practical than on-policy sampling, and by decoupling learning from data collection, it enables data reuse. It is known that policy evaluation (including multi-step off-policy importance sampling) has the interpretation of solving a generalized Bellman equation. In this paper, we derive finite-sample bounds for any general off-policy TD-like stochastic approximation algorithm that solves for the fixed-point of this generalized Bellman operator. Our key step is to show that the generalized Bellman operator is simultaneously a contraction mapping with respect to a weighted $\ell_p$-norm for each $p$ in $[1,\infty)$, with a common contraction factor. Off-policy TD-learning is known to suffer from high variance due to the product of importance sampling ratios. A number of algorithms (e.g. $Q^π(λ)$, Tree-Backup$(λ)$, Retrace$(λ)$, and $Q$-trace) have been proposed in the literature to address this issue. Our results immediately imply finite-sample bounds of these algorithms. In particular, we provide first-known finite-sample guarantees for $Q^π(λ)$, Tree-Backup$(λ)$, and Retrace$(λ)$, and improve the best known bounds of $Q$-trace in [19]. Moreover, we show the bias-variance trade-offs in each of these algorithms.