Reviewerly/exHarmony huggingface dataset:
A Model for the Creation of Academic Activities Based on Visits

A typical activity of some university studies is to make visits to places outside the university where students must observe certain elements and take notes of what has been observed. Normally these visits are carried out the instructions of a guide that has been made by the teacher where it is indicated in detail how to carry out the visit: what should be seen and observed, what type of information should be retrieved, and the type of report that should be done of the visit. Likewise, these activities have some evaluation mechanism associated. The creation of these activities consumes a lot of time for the teacher. This chapter describes a proposal to automate the creation of such activities using an application that would act as an added value service that would process the information available in open data repositories and linked data in order to offer an editor/publisher of activities of visits.
Variations in Reasoning in Javanese and Bataknese Students’ Argumentative Writing: A Study on the Relation between Ethnicity and Reasoning

&lt;p style="text-align:justify"&gt;This study was intended to describe the relation between students’ reasoning and their ethnicities. Comparison between the argumentative writings written by Javanese and Bataknese students - two of the ethnics found in Indonesia- was conducted to seek shared and variation of reasoning between the two ethnics. Interpretation on the results of such comparison was made in order to find out the relation between reasoning and ethnicity. To achieve the objective, a descriptive qualitative research design was applied. Twenty students consisting of 10 Javanese and 10 Bataknese were involved in the study. They were assigned to write 20 argumentative writing. Qualitative data analysis was applied to analyze the 20 argumentative writing. The result of the study showed that both Javanese and Bataknese students shared common patterns of arguments in terms of text structure, reasoning, and affective appeal. Meanwhile, difference in cultural value between Bataknese and Javanese students caused minor variation (differences) in text structure of argumentative writing in two aspects namely in developing thesis statement and drawing conclusion. Ethnicity’s relation to variation in argumentative writing is limited to the two aspects: to the writing of thesis statement and drawing conclusion.&lt;/p&gt;
A Speech Recognition Mechanism for Enabling Interactions Between End-Users and Healthcare Applications

The constant evolution of software development technologies has provided new interactions mechanisms for improving the usability of software systems and increasing the productivity of healthcare professionals. In this sense, speech recognition uses methods and technologies that allow the capture and transcription of spoken language automatically. However, few studies only have used health professionals to prototype and validate graphical user interfaces with speech recognition for helping in the development of healthcare applications. This paper specifies a computational solution that makes use of speech recognition to assist healthcare professionals in recording patients’ clinical care data. Six physicians have participated in our study by prototyping activities and specifying workflow to be carried out in patient care. After that, the software architecture is specified and the proposed solution, which has been implemented based on the prototyping task performed by the end users, is detailed. To evaluate the proposed solution, we have conducted interviews with health professionals and the results showed a reduction in time and effort for recording patient information. In addition, using a quantitative approach, aspects of learnability, memorability, efficiency and satisfaction were investigated, where the proposed healthcare application tool obtained an average evaluation of 88% with respect to usability.
Entanglement in time fractional evolution of two two-level atom system

In the present work, an analytical fractional Schrödinger equation solution is exploited via studying the fractional evolution in time of a two interacting two-level atoms. We investigate the entanglement degree by means of concurrence of the density operator described the atom-atom interaction. Our results show that the concurrence fluctuate periodically between its maximum and minimum bounds, where in general the concurrence takes large numbers for standard fractional Schrödinger equation.
The Exploration of the Reasoning Capability of BERT in Relation Extraction

Relation classification task is to predict the relation between the entity pair in a given sentence. Most of these sentences have certain words or schema that can help to extract the relationships of entity pairs. However, there are some sentences do not have such structure, they require the model to have certain reasoning capability to predict relation correctly, we call them “reasoning instances”: BERT [1] is a well known pre-trained language model, which can learn text representation and has already performed well on various tasks of NLP. In this paper, we are intended to explore the reasoning capability of BERT in reasoning instances. We first propose a BERT-based relation classification model to test whether BERT could infer the relation between entities in reasoning instances correctly. Further we explore what kind of information would help BERT to predict the relation of these instances. Through various comparison experiment, we conclude that BERT can not infer the relation between entities by the meaning of the sentence, it mainly uses the concept information about the entity itself and the information learned on previous instances to help the model to do relation classification. The conclusion inspires us that BERT can serve to predict the relation between entity pairs defined by multiple sentences.
Modeling and Simulating Daily Power Budgets for Sustainable Data Centers

A novel energy-efficient scenario that makes possible to maintain sustainable data centers to feed part of resources through renewable energy sources has emerged. As renewable energies are accumulated in the form of power budgets, data centers must adapt a slice of the processing resources required to meet applications at those limits. This work is modeling and simulating the computing capacity of a data center according to daily power budgets from different sources of renewable energy. The results showed that based on the daily energy harvest of today's renewable energy sources, intelligent resource orchestration could use such energy so that up to 40% of what is needed to maintain a quality-of-service data center comes from non-polluting sources.
Partial Scoring of Reordering Tasks Revisited: Linearity Matrix by Excel

Estimating a partial score of item reordering tasks has long been neglected in language testing and education sciences. A psychologically valid means of scoring, MRS (Maximal Relative Sequence) was proposed by the author and transplanted to Excel. As the protocol simply picks up elements in relative ascending order, it made easier the non-specialists' access to and analysis of the calculation process resulting in educational as well as practical significance. However, since the Excel enumeration replicated each step of MRS precisely, the number of columns consumed explodes as the number of elements increases. Moreover, MRS merely counts the number of elements to be relocated; it fails to consider the distance of relocation for recovery. This paper proposes an alternative solution LM (Linearity Matrix), also executable with Excel's basic functions, with far fewer columns to consume. Further, LM is advantageous over MRS in that it is a general protocol of estimating relative similarity of two sequences of which Kendall's tau is a special case; LM is adjustable as to the degree of adjacency constraint by changing the distance weight for all combinations of elements.
Automated Evaluation of Academic Staff Working Rate

The article presents a study of the process of faculty working rate in an educational organization. Such an assessment is important, since it is part of the processes of self-examination, the formation of a rating of an educational organization and the calculation of the incentive part of faculty wages. The work determines the place of the process in the system of processes of the educational organization, the subjects and objects involved in its implementation, as well as the mechanisms of their interaction. Based on the results, models are developed and problems and solutions are identified. The purpose of the work is to improve the methodology for evaluating the performance of faculty by introducing an information system that allows you to reallocate the resources necessary for the implementation of the process in such a way as to reduce the burden on individual specialists and automate the verification of individual criteria. The work presents process models that allow you to evaluate changes after the implementation of part of the modules of the information system, as well as screenshots of the developed application.
Predicting Clear Sky Index for Performance Assessment of Roof Top on Grid PV Plant

This paper presents the development of NARX neural network model for predicting the clear sky index. Performance of on grid solar PV cell power plant needs important information of clear sky index to calculate the overall efficiency of the power plant. Institute has established roof top PV plant of a capacity 20 kW. In order to monitor its overall efficiency and need for identifying the maintenance requirement it was important to identify the clear sky index. Hence a prediction model is developed using a neural network. The developed model has MSE for training, validation and testing is observed as 0.0527, 0.1093 and 0.0831. The observed value for regression coefficient is 0.97, 0.94 and 0.95 hence the developed model has the good predictability within the overall error band of ±5.
Reform Method of Training Plan for Computer-Major Students Under ‘Excellent Engineer Training Plan 2.0’

The ‘Plan for Educating and Training Excellent Engineers 2.0’ implemented by the Ministry of Education (hereinafter referred to as excellent engineer training plan 2.0) is a milestone in the development of higher education in China. The new industrial revolution has raised new demands and challenges for university engineering education. According to the signal of large-scale development of excellent engineer training, this paper, from the training objectives of computer majors in the excellent engineer training plan 2.0, analyzes the key problems in the implementation of the training plan for students majoring in computer science in our university and discusses the reform method of the training plan, which brings forth new ideas in the excellent engineer training plan and explores a path of sustainable development.
Research on Reversible Functions Having Component Functions with Specified Properties: An Overview

In the traditional logic synthesis, different classifications of non-reversible Boolean functions have found many applications. Recently, some attempts to deal with classifications of reversible functions have been published. In this paper, an overview of our results towards constructing a new classification of reversible functions is presented. These results were obtained due to our discussions during two Short Term Scientific Missions (STSMs) as well as during our further research in the framework of COST Action IC1405 “Reversible Computation - Extending Horizons of Computing” and were published in five papers.
Health and Safety of VR Use by Children in an Educational Use Case

The present study examined the potential health and safety effects of short-term virtual reality (VR) use by children in an educational use case scenario (that is, relatively brief episodes of use across a limited number of sequential days), such as how VR may be used in the classroom or at a museum. Ophthalmological, vestibular functioning, balance, hand-eye coordination, 3D spatial representation, and subjective comfort effects were assessed using a variety of optometric, psychophysical, and self-report measures. Thirty child participants (ages 10 to 12 years) were immersed in VR for 30 minutes daily across five consecutive days of use. Measurements were taken prior to the onset of VR use (baseline), at the end of the fifth day of VR use (to assess potential acute effects), and 24 hours after the fifth day of VR use (to assess potential longer-lasting effects).There were no statistically significant adverse effects found, with the exception of slightly elevated scores on a self-reported measure of subjective comfort, which, however, were below the range of scores reported in past research as being indicative of subject discomfort. In other words, the current study found no empirical evidence that short-term use of VR in an educational use setting by children ages 10 through 12 years is associated with any adverse visual, spatial representational, or balance aftereffects, or that it causes undue nausea, oculomotor discomfort, or disorientation. The present study does not address longer-term use or potential psychological effects of different VR content.
Simultaneous Run-Time Measurement of Motion-to-Photon Latency and Latency Jitter

Latency in Virtual Reality (VR) applications can have numerous detrimental effects, e.g., a hampered user experience, a reduced user performance, or the occurrence of cybersickness. In VR environments, latency usually is measured as Motion-to-Photon (MTP) latency and reported as a mean value. This mean is taken during some specific intervals of sample runs with the target system, often detached in significant aspects from the final target scenario, to provide the necessary boundary conditions for the measurements. Additionally, the reported mean value is agnostic to dynamic and spiking latency behavior. This paper introduces an apparatus that is capable of determining per-frame MTP latency to capture dynamic MTP latency and latency jitter in addition to the commonly reported mean values of latency. The approach is evaluated by measuring MTP latency of a VR simulation based on the Unreal engine and the HTC Vive as a typical consumer-grade Head-Mounted Display (HMD). In contrast to previous approaches, the system does not rely on the HMD to be fixed to an external apparatus, can be used to assess any simulation setup, and can be extended to continuously measure latency during run-time. We evaluate the accuracy of our apparatus by injecting a controlled artificial latency in a VR simulation. We show that latency jitter artifacts already occur without system load, potentially caused by the tracking of the specific HMD, and how mean latency and jitter increase under system load, leading to dropped frames and an overall degraded system performance. The presented system can be used to monitor latency and latency jitter as critical simulation characteristics necessary to report and control to avoid unwanted effects and detrimental system performance.
Categorization of Contact Events as Intended or Unintended using Pre-Contact Kinematic Features

Contact events are essential to the execution of manipulation tasks in virtual reality because they mark the different phases of an interaction, e.g. initial hand-object or tool-object contact. Generally, the nature of contact events can be distinguished in two categories: intended and unintended. Whereas intended contacts typically signalize the successful execution of a task, unintended contacts are the result of bad motor planning or execution, or are caused by accidental movements.Here we explore the use of kinematic features to distinguish intended and unintended contacts during an object placing task executed in virtual reality. A handheld object was placed over a horizontal surface with a vertical planar movement. The experimental setup enabled us to generate unintended contacts by triggering unexpected interruptions during the placing movement.Experimental results show significant differences between distributions of the kinematic features across intended and unintended contacts. These results indicate that the proposed kinematic features enable a robust distinction between intended and unintended contacts independent of substantial variations of movement properties (amplitude, duration, velocity).
Crosstalk-induced Impact of Coexisting DWDM Network on Continuous-variable QKD

In this paper, the crosstalk-induced impact of coexisting dense-wavelength-division-multiplexed (DWDM) channels on continuous-variable quantum key distribution (CV-QKD) in practical communication environment is investigated. We analyze the nonlinear effect resulting from classical channels on the transmitted local oscillator in CV-QKD, while various existing studies mainly focus on the crosstalk-induced excess noise. We demonstrate that the generally ignored phenomenon of four-wave mixing in excess noise analysis is a visible factor causing local oscillator fluctuation characterized by the statistical properties of the power evolution of local oscillator. Besides, the impact of stimulated Raman scattering on local oscillator is derived in the same theoretical approach and experimentally investigated. Finally, by establishing a trusted model for local oscillator fluctuation we perform the security analysis to constrain the threshold of fluctuation. All of the above analysis should be taken into account as a supplementary for evaluating the performance of CV-QKD with coexisting DWDM system and optimal allocation of classical and quantum channels.
Enhancing social and lifelong learning skills through the use of mobile technology as a motivational factor

Growing use of technology by students is having an impact on teaching and learning as students are increasingly seeking to use technologies to engage in a range of academic activities. The traditional way of teaching and learning have to change in order to enhance students’ social and lifelong learning skills. Communicating with mobile phone have become a daily routine by most students. They are motivated to almost anything that involves mobile technology. That is why they are spending hours with their phones. Thus, this study is done to recognize how mobile technology can help enhancing the social and lifelong learning of students through a case done in Seminar in Management Accounting class with the use of social and lifelong learning rubric and action research methodology. The study found that students have the opportunity to engage with the business communities through the use of mobile technology. The technologies enable them to engage with other party regardless of time and situations. Keywords: Social and lifelong learning skills, Mobile Technology, Education, Action research.
Visualization and evaluation of ergonomic visual field parameters in first person virtual environments

Especially in the field of mechanical engineering, the market pressure for small and medium-sized enterprises increases because of faster developments and more complex designs. Nevertheless, standards and ergonomic safety regulations must be observed. In recent years, various applications were presented to help users understand and comply with inconvenient requirements. However, the time-consuming tools are primarily for ergonomics experts and often overwhelm engineers from small and medium-sized enterprises. We present an immersive concept that allows inexperienced users to quickly assess the ergonomic parameters of the visual field, represented by easy-to-understand visualizations. The solution is compared with standard market and scientific approaches.
Access to the Patent System

How likely is it that the average American will become an inventor? With a novel idea and hard work, it should be possible for all Americans. The data suggests otherwise. Most patents are obtained by inventors that work for large corporations. Small businesses, solo inventors, women, and minorities lag behind their counterparts in patenting. A common explanation for this phenomenon is that it is a “pipeline” issue. However, evidence suggests that the patent system is not accessible to underrepresented innovators for more problematic reasons.At almost the same time as information about the concentration of patenting activity has garnered attention, the U.S. Patent and Trademark Office (“USPTO”) has become more vocal about its interest in Artificial Intelligence (“AI”). AI will transform how the USPTO examines patent applications. It may also transform how people invent. What has been absent from the conversation about AI and patenting is the negative effect AI has had when introduced in other social systems. For example, AI models can exhibit bias that concentrates power around incumbents. In addition, leaders overestimate the ability of AI models to solve human issues. This article refers to these problems collectively as “AI enthusiasm.”This article argues that AI enthusiasm threatens to make the patent system less accessible for underrepresented innovators. In response, this article presents a framework for improving access to the patent system given the emergence of AU. First, limits must be placed on AI-assisted examination informed by best practices that combat AI bias. Second, the USPTO should grant patents to inventions that are created with the assistance of AI only if the AI involved adheres to a set of best practices that reduce the chance of biased outcomes. Finally, true access involves removing obstacles to the innovation culture that has historically been closed to underrepresented inventors. Thus, AI tools should be deployed to assist underrepresented innovators in the patenting process. Collectively, these measures may provide U.S. innovators from all walks of life the opportunity to call themselves an inventor.
Regulating the Internet

Established U.S. law has long held that computer code is a language, like any other language, and is therefore subject to same free speech protections afforded other forms of speech under the First Amendment of the United States Constitution. Computer code also protects free speech through cryptography that enables protected communication between two or more parties. This article will consider the legal history of computer code as free speech and how it can be used to promote other forms of free speech through cryptography and secure communications. It will further argue that the deep web and dark web are direct results of these precedents, and while they can be abused by cybercriminals and malicious state actors, they are also indispensable in promoting free speech and human rights.