Reviewerly/exHarmony huggingface dataset:
Real-Time Learning in the NERO Video Game

If game characters could learn through interacting with the player, behavior could improve as the game is played, keeping it interesting. The real-time NeuroEvolution of Augmenting Topologies (rtNEAT) method, which can evolve increasingly complex artificial neural networks in real time as a game is being played, will be presented. The rtNEAT method makes possible an entirely new genre of video games in which the player trains a team of agents through a series of customized exercises. In order to demonstrate this concept, the NeuroEvolving Robotic Operatives (NERO) game was built based on rtNEAT. In NERO, the player trains a team of virtual robots for combat against other players' teams. The live demo will show how agents in NERO adapt in real time as they interact with the player. In the future, rtNEAT may allow new kinds of educational and training applications through interactive and adapting games.
Modelling Retroactive Context Effects in Spoken Word Recognition with a Simple Recurrent Network

We present a new variant of a simple recurrent network to model auditory word recognition in continuous speech and address the issue of lexical segmentation. Simulations based on small word sets show that the system provides a nearoptimal solution to the opposite constraints of speed, which requires that lexical processing be immediate, and reliability, which imposes that identification decisions be postponed until unambiguous information is available. Contrary to an oftenheard statement, the simulations show that the existence of embedded words is not incompatible with the notion of continuous on-line lexical processing.
Teaching Problem-Solving in Algorithms and AI

This paper suggests some teaching strategies for Algorithms and AI courses. These courses can have a common goal of teaching complex problem-solving techniques. Based on my experience teaching undergraduates in a small liberal-arts college, the paper offers concrete ideas for working toward this goal. These ideas are supported by relevant studies in cognitive science and education. Together, they provide a plan for structuring lessons and assignments to help student become better problem-solvers.
Bit-parallel Computation for String Alignment

One of the most important ideas in data mining is alignment of two strings. This idea is based on a distance on strings and the most popular and simple one is the edit distance. For two strings of lengths m and n, the alignment and the edit distance is computed in O(mn) time by dynamic programming approach. Bit-parallelism can speed-up the computation of the edit distance w times, where w is the word size of a computer, however this parallelism can not be applied straightforwardly to computing the alignment. This paper proposes a bit-parallel algorithm to compute all the possible alignments.
Annotated Natural Deduction for Adaptive Reasoning

We present a multi-conclusion natural deduction calculus characterizing the dynamic reasoning typical of Adaptive Logics. The resulting system AdaptiveND is sound and complete with respect to the propositional fragment of adaptive logics based on CLuN. This appears to be the first tree-format presentation of the standard linear dynamic proof system typical of Adaptive Logics. It offers the advantage of full transparency in the formulation of locally derivable rules, a connection between restricted inference-rules and their adaptive counterpart, and the formulation of abnormalities as a subtype of well-formed formulas. These features of the proposed calculus allow us to clarify the relation between defeasible and multiple-conclusion approaches to classical recapture.
The Skinnebach Effect – Towards a Poetic Institutional Critique

In recent years the Danish poet Lars Skinnebach (b. 1973) has become increasingly interested in applying avant-garde aesthetic strategies to current political issues, as is explicit in his ecopoetic work Øvelser og rituelle tekster (Exercises and Ritual Texts, 2011). The ambition of Skinnebach’s strategies, however, seems not to be the revolutionary “sublation of art and life” that we associate with the historical avant-garde but rather a more pragmatic form of institutional critique directed at the norms and values that underlie, and are disseminated by, the art world. This article interprets the implications of Skinnebach’s institutional critique as an attempt to prompt a new conception of poetic and artistic value, which might, eventually, help to save the world from the climate crisis.
Correlations Between (Nonlinear) Combiners of Input and Output of Random Functions and Permutations

Linear cryptanalysis considers correlations between linear input and output combiners for block ciphers and stream ciphers. Daemen and Rijmen (2007) had obtained the distributions of the correlations between linear input and output combiners of uniform random functions and uniform random permutations. The present work generalises these results to obtain the distributions of the correlations between arbitrary input and output combiners of uniform random functions and uniform random permutations.
Comparative Study of Particle Swarm Optimization and Genetic Algorithm Applied for Noisy Non-Linear Optimization Problems

Optimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem very efficient to approach in these problems and became very popular. The efficiency of these methods against many new metaheuristic optimization algorithms has been proved in previous works, however a robust comparison between GA and PSO to solve noisy nonlinear problems has not been reported yet. Therefore, in this paper GA and PSO are adapted to find optimal solutions of some noisy mathematical models. Based on the obtained results, GA shows a promising potential in terms of number of iteration to converge and solutions found so far for either for optimization of low or elevated levels of noise.
Perspectives on Musical Time and Human-Machine Agency in the Development of Performance Systems for Live Electronic Music

This chapter reflects on practical experiments and artistic works that move beyond an approach to musical time that relies on a single overarching grid or time line. Through discussion of their idiosyncratic performance systems, the authors encapsulate their collaborative perspective on the generation of expressive rhythm and groove in live electronic music. They argue that commercial music software, and the meter-dominated music that this often leads to, limits our capacity to experience and appreciate the continuum of rhythmic possibilities. They explain how they have sought to overcome these limitations through the use of proprietary and open tools that embrace both human and machine-generated rhythms.
Implicit IV for Counter-based Ciphers in Encapsulating Security Payload (ESP)

Encapsulating Security Payload (ESP) sends an initialization vector(IV) in each packet. The size of IV depends on the applied transform,being usually 8 or 16 octets for the transforms defined by the timethis document is written. Some algorithms such as AES-GCM, AES-CCM andChaCha20-Poly1305 when used with IPsec, take the IV to generate anonce that is used as an input parameter for encrypting anddecrypting. This IV must be unique but can be predictable. As aresult, the value provided in the ESP Sequence Number (SN) can be usedinstead to generate the nonce. This avoids sending the IV itself, andsaves in the case of AES-GCM, AES-CCM and ChaCha20-Poly1305 8 octetsper packet. This document describes how to do this.
Seamless Interconnect Underlay to Cloud Overlay Problem Statement

This document describes the problems that enterprises face today whenconnecting their branch offices to dynamic workloads in third partydata centers (a.k.a. Cloud DCs). It examines some of the approachesinterconnecting cloud DCs with enterprises' on-premises DCs &branch offices. This document also describes some of the (network)problems that many enterprises face when they have workloads &applications & data split among hybrid data centers, especially forthose enterprises with multiple sites that are already interconnectedby VPNs (e.g., MPLS L2VPN/L3VPN). Current operational problems areexamined to determine whether there is a need to improve existingprotocols or whether a new protocol is necessary to solve them.
What Contributes to Students’ Success in Learning to Speak English

This study deals with speaking achievement of eighth semester students in English Department of one university in Nusa Tenggara Barat - Indonesia in academic year 2013/2014. The purpose of this study was to find out factors that help students succeed in learning speaking. The method of this research is qualitative research that focuses on case study. The subjects of this study were the eighth semester students who got an A in Speaking I, II and III subjects. Four students were recruited as the research subjects consisting of one female and three males. The data about the students were obtained from the academic databases in the English Department. In collecting the data, semi-structured interviews were conducted. The data, then, were analyzed through some stages namely transcribing data, reducing data, displaying data and drawing conclusion. The result of this study showed that factors contributing to students speaking achievement consist of internal and external factors. The internal factors include motivation and interests, while the external factors involve family, school condition and society.
Senior Web Application Developer

Participating in the planning/designing of new features;Working on a scalable, self-service B2B web portal used by leading brands worldwide;Develo
FIU Libraries: Executive MBA : Find More Business Guides

This library research guide is for students and faculty in the Executive MBA program. Find all of the library resources, services, and tools you need to be successful in your business research.
RTP Payload Format for the TETRA Audio Codec

This document specifies a Real-time Transport Protocol (RTP) payloadformat for TETRA encoded speech signals. The payload format isdesigned to be able to interoperate with existing TETRA transportformats on non-IP networks. A media type registration is included,specifying the use of the RTP payload format and the storage format.
SimpleMetadata: An interoperable format for sharing metadata

This document describes a standardized container format for storingserializable metadata. It does not describe any additional new format,but provides a shell for the exchange of arbitrary, structured data.It shall provide the possibility to store and share any kind ofmetadata, including encryption support. The idea is to create an open,universal and interoperable standard for storing and distributingevery kind of metadata independent from media type or file format.
Intuitive interaction: An overview

This book explores recent research in intuitive interaction worldwide by a range of leading academics and practitioners in the field. It builds on past work as it ventures into new areas, such as how users perceive intuitiveness of an interface, how people experience intuitive interaction subjectively, and how we can use such understanding to design more engaging experiences. The book addresses how intuitive interaction is understood in different academic disciplines and how it has been researched in various parts of the world over the last 18 years. It covers how intuitive interaction can be applied in different contexts, like large scale urban installations, the developing world, in older populations, and in various industry applications.
Voices of Notators: Approaches to Writing a Score--Special Issue

In this special issue of Voices of Notators: Approaches to Writing a Score, eight authors share their unique process of creating and  implementing their approach to notating movement, and they describe how that process transforms them as researchers, analysts, dancers, choreographers, communicators, and teachers. These researchers discuss the need to capture, to form, to generate, and to communicate ideas using a written form of dance notation so that some past, present, or future experience can be better understood, directed, informed, and shared. They are organized roughly into themes motivated by relationships between them and their methodological similarities and differences. The papers are arranged to reveal four themes present among these authors. The themes are: (1) revisiting notation history to rethink the future understanding of notation, (2) focusing and developing notation so it can function to capture traditions of the movement form being embodied to support accurate learning, (3) working with technology to capture, document, analyze, and research movement; and (4) practitioner’s perspectives papers that examine approaches to notating scores to focus the tool of notation to maximize the teaching and learning experiences of the participants and, hence, those who use the resultant scores.
Effects of Repeated Reading and Rhyming Poetry on Reading Fluency

This study tested two instructional methods meant to improve elementary students' automaticity, phonemic awareness, oral fluency, and reading comprehension.Twelve 1 st grade students received either repeated reading or rhyming poetry instruction.A matched group design was used, and then a single subject analysis was employed to determine if either of the methods was associated with improvements in students' reading achievement, oral reading fluency, and attitudes towards reading.Findings indicated that students who experienced the rhyming poetry intervention tended to show greater improvements in reading comprehension and oral reading fluency, while those exposed to repeated reading showed mixed results.Students from both conditions showed similar improvements in attitude toward reading, though those in the rhyming poetry group showed slightly more improvement in the area.Overall results suggest that both methods may be beneficial to students' reading but that rhyming poetry instruction may have greater potential for students at this level.
Topic-driven top-k similarity search by applying constrained meta-path based in content-based schema-enriched heterogeneous information network

In this paper, we propose a model of TopCPathSim in order to address the problem related to 'topic-driven' similarity searching based on 'constrained meta-path' (or also called 'restricted meta-path') between same-typed objects within the content-based heterogeneous information networks (HINs). The topic distributions over content-based objects such as: paper/article on the bibliographic network or user's comments/reviews on the social networks, etc. are obtained by using the LDA topic model. We conduct the experiments on the real DBLP, Aminer and ACM datasets which demonstrate the effectiveness of our proposed model. Throughout experiments, our proposed model gains about 73.56% in accuracy. The output results also show that the combination of probabilistic topic model with constrained meta-path is promising to leverage the output quality of topic-oriented similarity searching in content-based HINs.
Normative Conflicts in a Dynamic Logic of Norms and Codes

In the last decades, the study of normative conflicts in deontic logic has been guided by two main issues: first, developing conflict tolerant deontic systems, typically by
REVIEW OF CYBER ATTACKS CLASSIFICATIONS AND THREATS ANALYSIS IN CYBER-PHYSICAL SYSTEMS

Cyber-physical systems (CPSs) have been widely used in many different critical areas like smart grid, healthcare, aircraft and etc. and they played a significant role in our daily lives. However, the CPS systems currently are one of the critical hackers' targets that have a lot of incidents due of the high impacts of these systems. Several works have been conducted in CPS, but still, there is a lack of theories and tools that organisations and researchers can use to understand the nature of the new threats and the impacts of each danger. This article provides description of CPSs usage areas and security challenges in some of the critical CPS fields. Likewise, discusses frameworks and taxonomies that have been used for classifying cyber-attacks or incidents. As well, study and analyse threats that have been stated in the previous studies and research to understand the current status of the risks on CPS.
Internet Safety: Security

Information securitymeans protecting information and information systems from unauthorized access,use, disclosure, disruption, modification or destruction. Use thefollowing links to stay current on trends pertaining to the security ofinformation systems: OnGuard Online This site provides seven imp
Human Activity Recognition based on Interaction Modelling

Human activity recognition aims at recognising and interpreting the activities of humans automatically from videos. Among the activities of humans, identifying the interactions between human within minimal computation time and reduced misclassification rate is a cumbersome task. Hence, an interaction-based human activity recognition system is proposed in this paper that utilises silhouette features to identify and classify the interactions between humans. The main issues that affect the performance of activity recognition are sudden illumination changes, detection of static human, data discrimination, data variance, crowding problem, and computational complexity. To accomplish the preceding issues, three new algorithms named weight-based updating Gaussian mixture model (wu-GMM), spatial dissemination-based contour silhouettes (SDCS), and weighted constrained dynamic time warping (WCDTW) are proposed. Experiments are conducted with the gaming dataset and Kinect interaction dataset to show that the proposed system recognises the interactions with reduced misclassification rate and minimal processing time compared to the existing system.
Educator Preparation Compliance Reports A-2

The purpose of the accountability system for educator preparation is to assure that each EPP is held accountable for the readiness for certification of candidates completing the programs. Sam Houston State University 2009-2010, (PDF, 265KB) South Texas College - Alternative Certification Prog
Board 104 : Comparison of Engineering Honors Education in America and China—Based on the Analysis of Course Syllabi in the First-year Program and Experimental Class

Her research focuses on making engineering accessible to all students, including students with visual impairments, through the use of art-infused curriculum and models.Prior to becoming focused on
Practice Safe Surfing

It’s hard to believe that the World Wide Web is almost 30 years old. While technically launched in 1991 by Tim Berners-Lee, most people didn’t really know about it until the mid-1990s. The Web as we know it today really took off in the late 1990s with the “dot-com” boom and subsequent bust. We’ve come a long way since the early days of Mosaic and Netscape Navigator (the first popular web browsers). Web pages have gone from simple blocks of text and hyperlinks to amazingly powerful and complex websites that can do just about anything. Many of the tasks that were relegated to heavyweight software applications like Photoshop and Microsoft Office are now moving into “the cloud.” With high-speed Internet connections and powerful new web technologies, there’s so much you can now do within the confines of your web browser. In fact, Google has a whole operating system called Chrome OS that is essentially a web browser that acts as a full-fledged desktop operating system. (This OS is the basis for the popular and inexpensive Chromebook laptops.)
Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers

This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, MATLAB Message Passing Interface (MPI) functions and features included in the toolbox help us obtain good performance by two schemes of task-parallelization and dataparallelization models. Parallel SPK algorithm ran over a cluster of computers and achieved less run time. A speedup value equal to 13 is obtained for a configuration with up to 5 Quad processors.
Evaluation of management and human resource challenges in the establishment of telemedicine in bandar abbas social security hospital, 2017

Objective: The emergence of internet and its development has made a lot of changes in every science and industry, medical science is not an exception, and the internet, in addition to the effects it has made on its own development, has also had significant effects on the development and improvement of medical services. Research method: This research is descriptive-qualitative with a phenomenological approach, which has been carried out in 2017 at Bandar Abbas Social Security Hospital (Persian Gulf). The information has been collected through a semi-structured interview with nine hospital staff. Results: The maxqud10 software was used to encode the collected data. As a result, 76 codes have been extracted out of two main components of management and human resource factors affecting on the establishment of telemedicine, which have been grouped into eight main categories. Discussion and conclusion: The results of this research can be used to identify managerial and human resource barriers in organizational planning for healthcare organizations. Keywords: Remote treatment, Telemedicine, Challenges of telemedicine establishment, Remote medicine.
Discriminating copper geochemical anomalies and assessment of their reliability using a combination of sequential Gaussian simulation and gap statistic methods in Hararan area, Kerman, Iran

In geochemical exploration, there are various techniques such as univariate and multivariate statistical methods available for recognition of anomalous areas. Univariate techniques are usually utilized to estimate the threshold value, which is the smallest quantity among the values representing the anomalous areas. In this work, a combination of the Sequential Gaussian Simulation (SGS) and Gap Statistics (GS) methods was utilized as a new technique to estimate the threshold and to visualize the anomalous regions in the Hararan area, which is located in SE Iran, and consists of copper mineralization that seems to be connected to a porphyry Cu-Mo system. Furthermore, the most important advantage of this method is the reliable assessment of the anomalous areas. In other words, the anomalous areas were discriminated in terms of their probability values. The regions with high probability values were reliable and appropriate to locate the drilling points for a detailed exploration. It not only decreases the risk, cost, and time of exploration but also increases the drilling point reliability and precision of reserve estimation after drilling. In this research work, the results of analysis of 607 lithogeochemical samples for the element Cu were used. The SGS method was performed on the transformed data and 50 realizations were obtained. In the next step, the back-transformed realizations were utilized to obtain an E-type map, which was the average of 50 realizations. Moreover, the results of the GS method showed that the Cu threshold value was 228 ppm in the area. Therefore, using the E-type map, areas with values greater than 228 ppm were introduced as the anomalous areas. Finally, the probability map of the exceeding threshold values was acquired, and the anomalous districts located in the southern part of the studied area were considered as more reliable regions for future detailed exploration and drilling.
Library Guides: Readings Online User Guide: 2. Create or rollover a reading list

Guide for academic staff using Readings Online. How to create a new reading list, or rolling over an existing reading list