Reviewerly/exHarmony huggingface dataset:
Ray tracing and FMC simulation in curved composite structures

Composite materials present many challenges for the NDE community. Addressed here is the phenomenon of ray bending due to the introduction of curvature into anisotropic materials, using Dijsktra’s algorithm for tracing rays. The influence of several important parameters is identified, and Dijkstra’s algorithm is applied to calculating TFM focal laws in both simulated and experimental data. In both cases, an improvement in image quality is observed.
Are smart mines a dumb idea

The Register and CNN have written articles on an AP report that the US is deploying newly developed wireless LAN-enabled mines, supposedly codenamed Matrix. This is not the only smart mine research that is going on. DARPA is funding a proposal for a self-healing minefield (SHM), with mines that are somewhat mobile, and have communications capabilities.
RESEARCH OF STUDENTS’ ATTITUDE TOWARDS STUDYING THEORY OF PROBABILITY AND MATHEMATICAL STATISTICS

This work is part of the study of problems in the preparation of bachelors of mathematical sciences. It is well-known that the attitude of students to study, as well as the emotions that arise in the process of learning, largely determine the level of their academic achievements. The article provides an analysis of the attitude of students to the study of probabilistic sections of mathematics. The survey of a group of students majoring in Applied Mathematics and Computer Science, as well as Computer Science and Mathematics, was conducted twice. The results of the survey were studied by applying non-parametric criteria (G-sign test and Wilcoxon T-test), correlation and cluster analysis. The study showed that students assessments reflecting the value and emotional attitude to the study of the theory of probability are stable and representative. In addition, the cluster analysis revealed among the surveyed students the presence of two groups of approximately equal in number. The first group is who are aware of the value of probability and have positive emotions when studying the course. The second group is those who have a lesser understanding of the value of the subject and experience difficulties in learning. Detection of the problem will allow developing a system of methods aimed at the formation of a value attitude and a deeper understanding of the essence of probabilistic ideas and methods.
Storage Space Use in Mobile Applications

The purpose of software development is meeting both functional and non-functional requirements. In mobile device applications, non-functional requirements are more relevant due to the restrictions inherent to these devices. One of these restrictions is the availability of limited storage space. Therefore, the size of a mobile application affects user preference for use. In this article, we assess how the choice of a mobile application development approach affects the final size of the application; we focus our analysis on text-, audio- and video-based applications and access to the camera in the device.
BREATH ANALYSIS CAN BE USED TO DETECT COLORECTAL CANCER: PROOF-OF-PRINCIPLE STUDY

Colorectal cancer (CRC) is the third most common cancer diagnosis and a major cause of mortality worldwide. This study aims to assess if breath analysis with an electronic nose (Aeonose, the eNose company, the Netherlands) can be used as a non-invasive screening test for CRC.
Perbandingan Analisis Data Curah Hujan Yang Hilang Menggunakan Metode Reciprocal, Normal Ratio , Dan Rata-Rata Aljabar (Studi Kasus : Curah Hujan Beberapa Stasiun Hujan Daerah Pringsewu)

Rainfall data is one of the data which plays an important role in order to calculate construction project, especially for flood hazard zone nor near the river zone and coastal area. In rainfall data recording sometimes an unwanted thing happened like a rainfall data vacancy in certain area, this is certainly has an impact on the construction’s calculation. On a missing rainfall data, predictions can be made using the method of reciprocal, normal ratio, an algebraic average. The purpose of this sudy is to determine the correlation value from the result of rainfall data predictions by comparing the correlation values of these three methods by using three stations R002,006,R018 in pringsewu regency. This study also aims to determine the fluctuations in the results of these three methods, which methods produces the best correlation and not too fluctuating in order to replace the missing rainfall data. The results of this research that has been done, using the method of reciprocal obtained that standard deviation give the best result among other I 0,22 which is categorized as poor value and the result of correlation average is 0,36 which is categorized as good enough. This result is the best value among the other methods which is calculated using data per years for 34 years. Keywords: algebraic average method, reciprocal method, normal ratio method, missing rainfall data, pearson correlation, standard deviation.
Quest for a Breathing Performance

In this exposition, I study the concept of ‘experimentation’ in artistic research. I describe how the interdisciplinary collaboration of the Silence Ensemble influenced a violin-piano recital through both conscious and unintentional experimentation. The focus of the experimentation is on the ‘now-moment’. A detailed explanation of the technical practicing process before the concert is also offered to introduce the experimental approach. To define my individual experimentation, I refer to experimentation studies in artistic research and especially to Bart Vanhecke’s concepts of experimentation ‘in’ and ‘through’ art.
ArchéoFab: A program for sharing data and knowledge

ArcheoFab - Archeologies of the Paris Basin (ABP). Network of sites and network of actors is a shared program of the UMR 7041 ArScAn. Since its inception, its objective has been to share information and know-how related to the spatial dimension of archaeo-historical information, first within the ArScAn UMR, but also towards a broader community. In this perspective, the ABP programme, unlike a research team or project, does not in itself produce its own results in terms of archaeological knowledge. ArcheoFab operates as a federation and is based on the projects that constitute it and that wish to associate freely with it in the spirit of digital factories. This participation provides access to the infrastructure managed by ABP (data, tools and training) and personalized project support. Each project retains its own financial and, above all, scientific autonomy. The dialogue between the coordination of each project and the programme leaders makes it possible to define priorities for launching methodological and instrumental and/or training development actions, useful to each project and as shared as possible. Finally, the objective of this project assistance is to respond to the principles of FAIR and to promote the sharing and sharing of data, practices and tools while ensuring the construction of the most open digital data heritage possible. This document aims to provide a retrospective analysis of this experience of sharing over the past few years, its tools and mode of governance and to consider its evolutionary prospects.
CALCULATION OF THE MINIMUM ENERGY VALUES OF THE THEORETICAL AND EXPERIMENTAL DATA BELONGING TO CANDIDATE SCIENCE TEACHERS ON THE SUBJECT OF PROCEDURAL KNOWLEDGE OF ELECTRICITY

In this study, we calculate the minimum energy values of candidate science teachers’ knowledge on the subject of electricity using 11 open-ended questions to measure their procedural knowledge. The goal is to enhance the teaching processes of candidate teachers by calculating the minimum amounts of energy that they consume, do not consume, and are expected to consume in the process of converting data into knowledge. It is important to know the energy that the people in the training process are spending or willing to spend, especially in getting information and measurement-evaluation. This energy will be calculated by information theories. In these calculations, energy equality of a biological unit will be used. The bit value in the energy calculations of the information theories will be determined by the VDOIHI statistical method. We find that candidate teachers’ energy consumption is focused on success, and that they should consume more energy in independent variables to ensure the permanence of this success by converting knowledge into understanding. Efficiency is of primary importance in energy planning, and can be enhanced in problem solving techniques by developing methods in accordance with energy plans that prescribe the volume of energy to be consumed in independent variables. Article visualizations:
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS APLIKASI ANDROID UNTUK MENINGKATKAN HASIL BELAJAR KEWIRAUSAHAAN (Studi Pada Kelas XI APK SMK Muhammadiyah 3 Singosari Materi Aspek Organisasi)

The purpose of this research is produced interactive learning media used for android which will be used for students class XI APK SMK Muhammadiyah 3 Singosari aspecially on the subject of entrepreneurship Lesson. Design in this research 4D model (Four D). The stages to be performed by the researcher include 1) Define, 2) Design, 3) Development, and 4) Disseminate. In these stages will be validated by a team of experts consisting of expert material, expert media, and trial to explore the effectiveness of the product developed. On the results of the validity of experts material obtained results 72.87%, quite valid, on the sheet of validity expert media obtained results 91.25%. In the user trial obtained the results of 83.42% and applies to the average overall repetition rate was found at 82.51% which can be concluded that the learning media based on android application on the Entrepreneurship lessons is valid and feasible to used.
Correction to: xSDL: stroboscopic differential lighting eye tracker with extended temporal support

Unfortunately, Fig. 9 was incorrectly published in the online version. Correct figure is updated here.
Electronic Research Notebook Demonstration Workshop

A theme which arose from our 'Support for Research Notebooks' (held in Glasgow and London in late 2018) was a desire from the research community to see examples of software which could be used as research notebooks.This first electronic research notebook demonstration workshop (hosted by the University of Glasgow) was attended by approximately 20 personnel of various backgrounds including researchers, vendors, research support and teaching staff. The day took the form of 4 speakers, all presenting their experiences with electronic research notebooks followed by Q&A sessions following each demo. The day ended with a brief introduction to Jisc by Chris Brown, and a chance for attendees to raise any additional points/ queries.
LEARNING GAINS RELATED TO THE USE OF MOBILE RESOURCES FOR UNDERGRAD PHYSICS COURSES

In this paper we present the results derived from a project aimed to study the learning gains obtained by undergrad engineering students that used two mobile learning resources (in video format).We conducted our study over a 6-year time interval applying pre-test and post-test instruments to both experimental groups (which used the mobile resources) and control groups (which did not).Our sample consisted of N = 793 students and we found that the experimental group obtained learning gains about 26% higher than those of the control group.We found this difference to be meaningful, with p-values around 0.022.Perception questionnaires applied to the control groups showed that most of the students consider that the use of mobile resources improved their concept-comprehension and helped them to develop their problem-solving skills.
Visualizing Data in the Quantitative Comparison of Ancient Texts: a Study of Paul, Epictetus, and Philodemus

This chapter explores how to visualize the polythetic classification of ancient literature, specifically around Paul’s letters, Epictetus’ Discourses, and Philodemus’ On Piety and On Death. Building on previous research, the notion of polythetic classification is explored with respect to texts. Specific application then occurs with respect to Paul’s letters, showing how hand coding data in spreadsheets is necessary to capture the shape of a given piece of literary data. Such hand coding facilitates visualization of data, in the form of bar graphs and line graphs. These forms of visualization then allow for an empirical, transparent form of comparison between texts. Qualitative analysis can productively supplement this quantitative analysis, matching specific literary and conceptual context with second-order data analysis.
Reflexion on Data Error Identification Method for Field Survey Data on Commuter Train Passenger Travel Behavior

Good understanding of Demand Behavior is important for Infrastructure and Facility Planning. Therefore, Field Survey for Travel Behavior Characterisitcs on Commuter Train Passenger is very important. The data collected and processed must be correct data. Meanwhile errors could easily happen in data collection and tabulation. How is the method to identify the data error. Experiment indicates several following methods : using spread-sheet software is strongly suggested for easiness to develop the whole process, establish numerical data tabulation for data error identification easiness, etablish code for data back-tracked, develop field survey data table, develop data error possibilities tabel, develop a error logical tests, develop spreadsheet logical test function, do error identification calculation.
Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent

Reinforcement methods such as AlphaZero have achieved super-human performance in adversarial games by training in a self-play manner. However, they generally require a large amount of computational resources to search for an (approximately) optimal policy in the joint state-action space involving both players and the environment. To accelerate the exploration process, we propose a new paradigm of learning by playing by considering the scenarios where expert opponents are accessible. By observing the opponent actions, the agent accelerates exploration by assigning more searching sources in these actions. To alleviate the sparse reward issue when facing the expert opponent at the beginning, we technically propose a novel method called Ladder Opponent Modeling (LOM), which builds a ladder opponent to facilitate the process. The agent plays with both the expert and ladder alternatively with its competence improved gradually. The online manner of the ladder opponent generates auxiliary tasks gradually, yielding a tractable improvement for the agent.
New Distance Concept and Graph Theory Approach for Certain Coding Techniques Design and Analysis

Abstract A New graph distance concept introduced for certain coding techniques helped in their design and analysis as in the case of distance-preserving mappings and spectral shaping codes. A graph theoretic construction, mapping binary sequences to permutation sequences and inspired from the k -cube graph has reached the upper bound on the sum of the distances for certain values of the length of the permutation sequence. The new introduced distance concept in the k -cube graph helped better understanding and analyzing for the first time the concept of distance-reducing mappings. A combination of distance and the index-permutation graph concepts helped uncover and verify certain properties of spectral null codes, which were previously difficult to analyze.
A Representation Theorem for Reasoning in First-Order Multi-Agent Knowledge Bases

Levesque's notion of only-knowing provides a natural formalisation of a knowledge base: it precisely captures the beliefs and non-beliefs that follow from the knowledge base, including introspection and de dicto versus de re distinctions in a first-order setting. Apart from its attractive properties in terms of specification, a major result about only-knowing is Levesque's representation theorem, which shows how reasoning in (single-agent) knowledge bases can be Turing-reduced to ordinary first-order logic. While numerous proposals have been made to lift the logic of only-knowing to the multi-agent case, generalising the representation theorem has remained an open problem. In this paper, we develop a Turing reduction from reasoning in multi-agent knowledge bases to ordinary, non-epistemic first-order logic and thus obtain a new representation theorem for the multi-agent case.
Four-Dimensional Anisotropic Diffusion Framework With PDEs for Light Field Regularization and Inverse Problems

In this paper, we consider the problem of vectorvalued regularization of light fields based on PDEs. We propose a regularization method operating in the four-dimensional (4-D) ray space that does not require prior estimation of disparity maps. The method performs a PDE-based anisotropic diffusion along directions defined by local structures in the 4-D ray space. We analyze light field regularization in the 4-D ray space using the proposed 4-D anisotropic diffusion framework by first considering a light field toy example, i.e., a tesseract. This simple light field example allows an in-depth analysis of how each eigenvector influences the diffusion process. We then illustrate the diffusion effect for several light field processing applications: denoising, angular, and spatial interpolation, regularization for enhancing disparity estimation as well as inpainting.
Fixed Points of a Generalized Discrete Baker's Transformation

In this note we investigate the fixed point sets for the iterations of a generalization of the two-dimensional discrete baker's transformation. In particular, we will derive explicit formulas for the fixed points, and the number of fixed points. Moreover, we will show that the set of all fixed points is a closed set. This generalizes the some of known results for the classical baker's transformation.
Embedding Probabilities, Utilities and Decisions in a Generalization of Abstract Dialectical Frameworks

Life is made up of a long list of decisions. In each of them there exists quite a number of choices and most of the decisions are effected by uncertainties and preferences, from choosing a healthy lunch and nice clothes to choosing a profession and a field of study. Uncertainties can be modeled by probabilities and preferences by utilities. A rational decision maker prefers to make a decision with the least regret or the most satisfaction. The principle of maximum expected utility can be helpful in this issue. Expected utility deals with problems in which agents make a decision under conditions in which probabilities of states play a role in the choice, as well as the utilities of outcomes. Argumentation formalisms could be an option to model these problems and to pick one or several alternatives. In this paper, a new argument-based framework, numerical abstract dialectical frameworks (nADFs for short), is introduced to do so. First, the semantics of this formalism, which is a generalization of abstract dialectical frameworks (ADFs for short), based on many-valued interpretations are introduced, including preferred, grounded, complete and model-based semantics. Second, it is shown how nADFs are expressive enough to formalize standard decision problems. It is shown that the different types of semantics of an nADF that is associated with a decision problem all coincide and have the standard meaning. In this way, it is shown how the nADF semantics can be used to choose the best set of decisions.
Generating Mathematical Exercises for E-learning Systems Using R and QTI Import Format

In the paper a software solution is presented for the generation of instances of exercises. The focus is on education in mathematics but the approach can be adopted in other fields such as computer science and natural science. The present solution uses the R environment for the generation process and LaTeX for the content presentation. In the established system, we realized the separation of computations and design which has the advantage that it is easier to find errors and shortcomings.
I paradigmi normativi dell’amministrazione psichiatrica. Servizi territoriali e strumenti per l’autodeterminazione terapeutica a quarant’anni dalla Legge Basaglia

The paper tries to bring a systematic unity of the legal institutes ruling the therapeutic treatment for mental illness. With reference to the structure of public health services, the extension of contractual liability as prescribed by art. 1218 (Italian civil code), might allow to avoid that the lack of a positive law could lead to a lack of rights. The fact that the therapeutic treatment can be imposed to the patient just to ensure public safety is not in compliance with article 32 (of the Italian Constitution) and with the principle of solidarity. The case of the “tutor and administrator of incapable” deciding whether agreeing on the treatment or not must be subsumed under article 32 paragraph 2 of the Italian Constitution, Public administration’s “weak identity” in the psychiatric environment affects the health professionals’ liabilities.
Path planning for mobile robots in dense spaces using rapidly-exploring random trees (RRT) algorithm

Highly dense spaces such as narrow pathways are a great challenge for path planning. The goal of this study is to develop feasible paths in highly constrained spaces for a mobile robot. In this study, the rapidly-exploring random trees (RRT) algorithm was used to generate paths. The RRT was subjected to two workspaces of the same dimensions but with different obstacle size. By varying the obstacle size, the free regions available will adjust depending on the obstacle.  The step size of the RRT algorithm was varied incrementally from 20, 40, 60, 80 and 100. For each step size variation, the path length and path coordinates were retrieved. Small step size always produced successful search results. Null searches were encountered in the workspace with large obstacles, most especially at high step size. The step size 100 has the highest number of null searches with 21 out of 40 trials. Smaller mean free path length and standard deviation were obtained in the environment with smaller obstacles. Practical applications of the study are in closed-loop path planning in a workspace wherein robot-robot and robot-obstacle interactions are the dominant features.
EUS-GUIDED TANS-RECTAL TREATMENT FOR SYMPTOMATIC PELVIC COLLECTIONS: PUNCTURE/ASPIRATION OR DRAINAGE? RESULTS FROM A LARGE MONOCENTRIC STUDY

Abdomino-pelvic symptomatic collections have recently been managed endoscopically by EUS-guideed transrectal drainage (EUS-TRD). We pesent the result of our experience. The main objective was to elucidate the acute efficacy of EUS-TRD (symptoms resolution). The secondary objectives were to document the morbidity, the recurrence (after one month), and to identify predictive factors for failure (persisting of symptomatic collection despite drainage +/- need for surgery).
How to Fix a 404 Error in WordPress

When you were starting your blog, you probably weren't thinking too much (or at all) about its 404 page. You were most likely more concerned with designing a beautiful homepage and contact page, and crafting your perfect 'About Me' page. Understandably, the 404 template often gets overlooked. But, it’s actually really important. Here's why...