Reviewerly/exHarmony huggingface dataset:
Performance Comparison of Artificial Neural Network techniques for Classification and Prediction of Breast Cancer

Data Mining is used to retrieve the information from the huge amount of data. Data mining is important field from all the fields for providing accurate prediction of diseases and deeper study of medical data. Data mining application involves analysing Breast cancer, which are the most dangerous disease cause of cancer deaths in women worldwide. Artificial Neural Network is used here to predict the breast cancer by analysing the nine technical indicators like clump thickness, uniformity of cell size, uniformity of cell shape, marginal adhesion, single epithelial cell size, bare nuclei, bland chromatin, normal nuclei and mitoses[3]. This study compares the four models namely Pattern Recognition Networks, Feed Forward Back Propagation Networks, Feed Forward Networks with no feedback, and Radial Basis Function Network to predict the breast cancer. The performance of all these models are examined from accuracy measures like Mean Square Error, Mean Absolute Error, Sum Square Error and Root Mean Square Error. From the examined result, the performance of Radial Basis Function network was considered as a best network for predicting the breast cancer. Keywords: Data mining, Breast Cancer,  Feed Forward Back Propagation networks, Feed Forward networks, Pattern Recognition networks Radial Basis Function, Technical Indicators .
Development of a faster shortest path search algorithm based on A* strategy integrated in an e-learning virtual environment

Abstract – The paper presents an optimal search algorithm based on A* strategy for the shortest path problem solving and its integration into LearningONE, an e-learning virtual environment that was developed in a first stage for teaching some courses in the Computer Science domain, the Artificial Intelligence course and the Object Oriented Programming course. The main objective of the research work was to improve the running time of the A* informed search strategy for finding the shortest path between two locations in a certain environment. The experimental results obtained for the application of virtual mobile robots navigation in a maze that was integrated in LearningONE, showed that the optimized A* algorithm performed faster than the A* algorithm.
A Non-wellfounded, Labelled Proof System for Propositional Dynamic Logic

We define a infinitary labelled sequent calculus for PDL, G3PDL^{\infty}. A finitarily representable cyclic system, G3PDL^{\omega}, is then given. We show that both are sound and complete with respect to standard models of PDL and, further, that G3PDL^{\infty} is cut-free complete. We additionally investigate proof-search strategies in the cyclic system for the fragment of PDL without tests.
ANALYSIS AND DESIGN OF CREDIT CARD FRAUD DETECTION SYSTEM WITH OBJECT ORIENTED METHODOLOGY

Nowadays, the development of technology is rapidly increasing, including the credit card fraud. The credit card fraud (CCF) is one of the problem our banking system is facing today. Fraudsters used many methods to attack the customer. The growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Conventional method of identification based on possession of pin and password are not all together reliable. Higher acceptability and convenience of credit card for purchases have not only given personal comfort to customers but also attracted a large number of attackers. As a result, credit card payment systems must be supported by efficient fraud detection capability for minimizing unwanted activities by fraudsters. To deal with this problem, a computerized system is needed. Methods used in analyzing and designing of the credit card fraud is Object Oriented Analysis (OOA) with unified modeling language (UML).
Basic Geophysics - Working Groups at GPI

This is a collection of learning videos on geophysics. They are provided to support new master's students in the beginning of their studies in geophysics at the Karlsruhe Institute of Technology (KIT). Additional information can be found at https://www.gpi.kit.edu/english/2424.php and http://www.zml.kit.edu/iBridge.php. This module gives insights into the scientific topics of the working groups a the Geophysical Institute (GPI). The videos are produced in a cooperation of the GPI and the Center for Technology-Enhanced Learning (ZML) at KIT. Lecturer: Dr. Andreas Barth.
The Music Videos of the Alternative Rock Band They Might Be Giants: Prolegomena for a Theory of Nonsense across Media

Though the term ‘nonsense’ in a literary context is most often used for a narrowly defined genre with origins in the work of nineteenth-century English writers Edward Lear and Lewis Carroll, it is fruitful to consider it instead as a set of often ludic techniques for subverting the familiar common-sense order – from wordplay to inversions on the level of content to non-sequiturs, unexpected juxtapositions, and other manipulations of expectations – that may occur in a wide range of genres and media, from theater of the absurd to surrealist film, painting, and music. In multimedial contexts, an important part of that meaning-making process is the interaction between media. The nonsense of a song characterized by “surrealistic absurdism” (: 211) may lie primarily in the lyrics, in the music, in the images of the music video, or especially in contradictions between these medial components. The present paper examines nonsense in all three medial components of a music video, focusing on “Birdhouse in Your Soul” by the alternative rock band They Might Be Giants. Beginning with an analysis of nonsense strategies in the song lyrics (nonce words, incongruous situations, lack of closure), it asks to what extent parallel strategies can be found in the music (abrupt key changes, unexpected instrumentation, stylistic juxtapositions), and in the video (surrealistic imagery, disjunctive editing), as well as in their interaction.
Multi-Agent Coordination under Uncertain Communication

Multi-agent coordination problems have many layers of complexity that make them interesting research problems. What uniquely separates multi-agent coordination problems from large single-agent planning and execution problems is that in multi-agent problems, different agents have different understandings of global state. The way that diverging beliefs are reconciled is through communication. My thesis builds a real-time executive that manages and reasons about communication between agents and provides the supplementing theory to prove that these algorithms are practical and efficient.
Automated detection of the first order frequency in Fourier transform proﬁlometry

We determined the position of the first order frequency of a vertical sinusoidal fringe pattern in Fourier Transform Profilometry (FTP) using a proposed fringe counting algorithm. It was observed that the position varies proportionally with the frequency of the fringe pattern. With this observation we were able to show that the pixel position of the first order frequency is equal to the fringe count. A fringe counting algorithm is then proposed to determine the number of fringes. Results show that the proposed algorithm was able to obtain accurate fringe counts of the patterns with different frequencies. With this approach automated detection of the first order frequency is achieved which helps in speeding up the algorithm for FTP. In the case where the frequency of the projected fringe pattern is changed. The proposed method will be able to automatically determine the parameters needed for FTP.
Influence of Sunlight on Drinking Water in Packaging in Plastic Type of Polyethylene Terephtalate Related to Antimon Content

Water is an important substance in life. Increased population causes increased demand for quality drinking water. Existence of safe drinking water is urgently needed. The acquisition of sun exposure data on botteld water can cause the release of chemicals that are toxic to the water that one of them is very interesting antimony to be studied. Antimony is a contaminant of drinking water that can cause acute effects and chronic effects. The purpose of this study was to determine the amount of antimony that migrated into bottled water after exposure to sunlight after 8 hours of exposure. The study included Pre-Post Test Control Group Design. The sampling metode was simple random sampling. The data obtained were tested using anova test. Anova test results showed a significant difference after treatment. The antimony level increased 2.17 times after treatment in the sample group and 1.41 times in the control group. This is indicated that exposure to sunlight had more antimony levels contained in drinking water that’s why storage of bottled drinking water at high temperatures is not recommended. The test results also show that there is a significant difference in storage time.Keywords: bottled drinking water, antimon, polyethylene terephthalate
EASIT IO1 report

EASIT IO1 report summarizes the results of an online survey involving 128 participants. Its objective was to gather information on the current situation regarding the training and practice of easy-to-understand (E2U) content in the EU, especially in the countries involved in the EASIT project. The results have contributed to offering a snapshot of the experience of professionals and to highlight possible areas of need and of improvement in E2U training
Using Symbolic Dates of the Linear Logic to Verify Performance Requirements in SOA Models

This article presents an approach for performance verification of requirement scenarios in Service-Oriented Architecture (SOA) models. The SOA models are represented by Interorganizational WorkFlow nets that are not necessarily deadlock-free. The requirement model considered in this article defines functionalities that are of interest of all parties involved in the process, for this reason is considered as a public model. An architectural model is considered as a private model since it is composed of a set of private processes that interact through asynchronous communication mechanisms. For the scenarios of the architectural and requirement models that are equivalent in terms of behaviour (or bisimulation) symbolic dates associated with the activities of the processes can be produced from the calculation of the Linear Logic sequents. Symbolic dates can be used to verify if an architectural model scenario that simulates the behavior of a requirement model scenario is also equivalent in terms of performance. To illustrate the proposed approach an example was considered and from this example it was possible to observe that the approach can be useful to indicate if a architectural model in the context of SOA satisfy the performance of business needs defined by a requirement model.
An intelligent approach for examining and detecting target data fragments in suspected large storage drives

Abstract The ever increasing capacity of storage devices is becoming a formidable obstruction to the digital forensic community due to its substantial investigation time and preservation space requirements. However, the investigation process becomes more complicated, whenever the fragmented or partially overwritten drives need forensic consideration. It is becoming extremely necessary to unfold novel methods the examination of storage drives involving a bulk volume of data. In this paper, the differential evolution (DE) technique is utilized with an unsupervised mean‐shift clustering approach in the field of digital forensics for intelligently locating the traces of target file in suspected storage drives or raw images. The proposed methodology leverages the drives' geometrical information in DE for obtaining random sector samples followed by fitness value and sector hash computation. The clustering algorithm evaluates the obtained intelligence and assists in estimating the regions of forensic significance in the drive, instead of considering the entire drive contents. As an outcome, a proof‐of‐concept Python based command line tool has been developed and released to support the study and further enhancement. The experiments and case studies demonstrated using the drives of different capacities demonstrates the efficacy of the proposed method.
Evaluating interdependencies in African markets A VECM approach

This study evaluates the linkages between stock markets and macroeconomic data in the sub-Sahara Africa during the 2008 –2018 period by using VECM. Our findings confirm unidirectional and bidirectional causalities, and a long-run equilibrium between the indexes, the stock exchanges and their national economies. The contemporaneous sectoral infectivity surpasses the long-run responses. While the banking sector was found to lead markets and macroeconomic indices, Nigerian, Moroccan and Swaziland markets were found to be most weakly integrated. Our findings provide a unique evidence of interdependence between African peripheral markets that could be used in cross-hedging and speculative strategies in fund management.
THE DEVELOPMENT OF PRACTICUM MODULE ON BASIC PHYSICS I BASED ON ANDROID BY USING SOFTWARE ADOBE FLASH CS6

AbstractThis study aims to determine the development, feasibility see the response of students to the Android-based Basic Physics Practicum Module I developed, using research development methods using a model from Borg & Gall adapted from the Sugiono development model. Data collection techniques were carried out by pre-research questionnaires, interviews documentation. The learning module that was developed resulted in changes in terms of design such as color, structured more attractive layout, as well as interesting supporting material for lectures. The learning module developed adapts the Department Practicum Module has also been integrated with university web majors, physics learning modules categorized as Eligible based on the assessment of validator material experts, media experts, IT experts, based on the assessment of respondents in the Physics learning module categorized Very Interesting and students feel enthusiastic when learning modules are used as learning media.Keywords: Physics Learning Media, modules, Basic Physics Practicum 1, R & D
Library Leadership and Competencies: Essence of The Hour

The concept of Leadership is not a new phenomenon and it becomes essential in all the sectors and Library and Information science is not an exception to it. Looking at the current situation of working togetherness and team spirit, today Leadership is one of the specialized areas being emphasized today as one of the key competency for teaching and practicing librarians. This study explores the significance of library leadership and competencies involved for better productivity, visibility and development of functional and library system. Keywords: Team Spirit, Library Leadership, Competencies, Library Management Cite this Article Suresh Jange, H. V Arunachalapathy. Library Leadership and Competencies: Essence of The Hour. Journal of Advancements in Library Sciences. 2019; 6(Special Issue 1): 254s–259s.
Simulasi Lintasan Terpendek pada Graf Komplit Menggunakan Ant Colony Optimization Algorithm

This study aims to build a shortest path simulation program on the complete graph K_20. The data of distance in this simulation was determined randomly with the provision of a value of 0-100. The simulation conducted was an algorithm calculation used parameter values with different initial pheromone conditions. The parameters in the Ant Colony Optimization Algorithm are set with alpha = 1, beta = 2, the initial pheromone condition = 0,0001 for the first simulation; alpha = 1, beta = 2, initial pheromone = 1 for the second simulation; and alpha value = 1, beta = 5, initial pheromone condition = 0,00000001 for the third simulation. The simulation results showed that if the value of the initial pheromone condition used gets greater, the value of the temporary output gets greater. Even though the initial pheromone condition was different, the shortest path obtained with distance data used in this study is the same, namely 15-14-1-3-20-12-16-6-18-10-9-13-11-7-8-4-2-17-5-19 with length 613 (in kilometers). [THE SHORTEST PATH SIMULATION IN COMPLETE GRAPHS USING THE ANT COLONY OPTIMIZATION ALGORITHM](J. Sains Indon., 42(2): 44-51, 2018) Keywords: Ant Colony Optimization Algorithm, Complete Graph, Shortest Path
Investigating on mobile usage patterns and reasons by university students in the UAE inside classrooms

Nowadays, mobile phones have become a significant part of our lives and is no longer limited to a specific age group. Due to its ease of usage, most age groups own and are capable of using smart phones, mostly for entertainment and social purposes. In educational institutes, universities for instance, mobile learning (also known as e-learning) is growing widely, reducing the usage of traditional paper books. It can be accessed through numerous ways like, mobile phones, tablets or laptops. There has been multiple controversies whether e-learning has a positive impact on education or do some students abuse this equipment by accessing non-educational websites during class time. The aim of this paper is to quantitatively investigate the reasons and patterns of mobile usage (in specific) inside classrooms through a survey done by 167 students, males and females, ranging from freshmen to seniors from different universities across the UAE. The participants were students from the following universities: UAE University, Abu Dhabi University and the American University in Sharjah. The survey questions focused on reasons of mobile usage during class, reaction of instructors, concentration level in class post mobile usage. Mobile devices have a great positive impact on the educational process however, it has another face which includes distraction during class time disrupting the teaching-learning process. A small part of the survey included questions about the illegal use of mobile phones inside educational institutes (included in Appendix). Results have been coinciding with previous research papers. The survey is then concluded by the students’ point of view on two options to enhance the e-learning experience.
Cross-lingual

Combinatory categorial grammars are linguistically motivated and useful for semantic parsing, but costly to acquire in a supervised way and difficult to acquire in an unsupervised way. We propose an alternative making use of cross-lingual learning: an existing source-language parser is used together with a parallel corpus to induce a grammar and parsing model for a target language. On the PASCAL benchmark, cross-lingual CCG induction outperforms CCG induction from gold-standard POS tags on 3 out of 8 languages, and unsupervised CCG induction on 6 out of 8 languages. We also show that cross-lingually induced CCGs reflect syntactic properties of the target languages.
@complexsplit I haven't kept up with recent ...

@complexsplit I haven't kept up with recent gopher protocol developments, but I do see some discussion on the gopher-project mailing list:https://lists.debian.org/gopher-project/2018/02/msg00025.html
Quick tests—four examples

Quick tests are simple and easily applied statistical approach to a variety of ways to describe and understand data. Four examples are discussed in detail. For example, John Tukey’s two-sample comparison.
Eye Tracking Support for Visual Analytics Systems

Visual analytics (VA) research provides helpful solutions for interactive visual data analysis when exploring large and complex datasets. Due to recent advances in eye tracking technology, promising opportunities arise to extend these traditional VA approaches. Therefore, we discuss foundations for eye tracking support in VA systems. We first review and discuss the structure and range of typical VA systems. Based on a widely used VA model, we present five comprehensive examples that cover a wide range of usage scenarios. Then, we demonstrate that the VA model can be used to systematically explore how concrete VA systems could be extended with eye tracking, to create supportive and adaptive analytics systems. This allows us to identify general research and application opportunities, and classify them into research themes. In a call for action, we map the road for future research to broaden the use of eye tracking and advance visual analytics.
Identifikasi Kematangan Buah Mentimun Berbasis Citra Digital Menggunakan Jaringan Syaraf Tiruan Backpropagation

Cucumber, cucumber, or cucumber (Cucumis sativus L) are plants that produce edible fruit. Especially in NTB cucumber production in 2015 reached 5,224 tons with a harvest area of 326 hectares. It is at number five after onions, chili, tomatoes and cabbage [2]. There are several parameters that can affect the quality of cucumbers, one of which is the shape, level of planting age and maturity [5]. Maturity of cucumbers can be recognized physically in terms of skin texture and color. The identification process of physical properties conventionally still has many disadvantages including the time needed is relatively long and produces a variety of products due to the limitations of human visuals. This becomes an obstacle so that it requires the application of computer image processing technology, especially in agriculture. Because of this, the researchers proposed using GLCM as feature extraction and using Backpropagation artificial neural networks for testing and training so that the research resulted in an accuracy of 89.6%. DOI : 10.29408/jit.v2i1.976
Homegrown Governments: Visualizing Regional Governance in the United States.

Regional Intergovernmental Organizations (RIGOs) are constituted by the local governments within their respective regions and are supported by the active engagement of the regions community and citizens. Metropolitan Statistical Areas (MSAs), on the other hand, are classified by the federal government based on commuting and commerce patterns. They do not adhere to any local government. The Graduate School of Policy and International Affairs Center for Metropolitan Studies (GSPIA) at the University of Pittsburgh have been researching the boundaries of RIGOs and the characteristics defining them. In this paper, we propose, design, and implement an approach to enhance the current visualization by visualizing two categorical data: RIGOs and MSAs and the overlapping between them. We attempted to use a combination of visual attributes that leverage human perception system and do not impose cognitive and mental effort. The overall result of the evaluation shows that our work proved to be more effective than the current visualization.
Deviation from the Exact

This chapter focuses on performance. It asks: what does it really mean to perform a piece of music? What is it that a performer is ‘adding’ to make a musical score ‘come alive’, and sound musical and expressive? It argues that expression derives from five main sources, collectively referred to as the GERMS model: generative rules (G) that mark the structure in a musical manner; emotional expression (E) that serves to convey emotions to listeners; random fluctuations (R) that reflect human limitations in motor precision; motion principles (M) which hold that tempo changes should follow natural patterns of human movement, such as gestures; and stylistic unexpectedness (S) that reflects a performer's deliberate attempt to deviate from stylistic expectations regarding performance conventions to add tension and unpredictability to the performance.