Reviewerly/exHarmony huggingface dataset:
Optimisation of data transmission delay of heart rate monitoring equipment in sports

In order to overcome the problem of high transmission delay of traditional heart rate monitoring equipment, this paper proposes a new optimisation method for data transmission delay of sports heart rate monitoring equipment. This paper analyses the characteristics of heart rate data under different exercise intensity, constructs the energy consumption model of data transmission, and analyses the operation process of energy consumption model in detail. According to the RBF neural network, the related parameters affecting the data transmission delay of heart rate monitoring equipment are calculated and optimised to complete the optimisation of data transmission delay of heart rate monitoring equipment. The experimental results show that the data delay optimisation method proposed in this paper can effectively reduce the transmission delay, the minimum high delay time is only 60 ms, improve the transmission rate, and has strong practical application.
Categorizing Online Harassment Interventions

Online harassment has becoming an unavoidable issue and many people are trying to find methods to mitigate online harassment. In this study, we did a systematic review of online harassment interventions. We focused on studies that proposed online mechanisms and designed experiments to test the corresponding effects. We collected 17 studies from scholarly databases which met our criteria. Among these studies, we categorized the interventions into 7 groups based on the theoretical or design-related mechanism they were using to justify the intervention. At the end of the study, we critically reviewed these studies and proposed some ideas for future research.
An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments

This framework for human behavior monitoring aims to take a holistic approach to study, track, monitor, and analyze human behavior during activities of daily living (ADLs). The framework consists of two novel functionalities. First, it can perform the semantic analysis of user interactions on the diverse contextual parameters during ADLs to identify a list of distinct behavioral patterns associated with different complex activities. Second, it consists of an intelligent decision-making algorithm that can analyze these behavioral patterns and their relationships with the dynamic contextual and spatial features of the environment to detect any anomalies in user behavior that could constitute an emergency. These functionalities of this interdisciplinary framework were developed by integrating the latest advancements and technologies in human–computer interaction, machine learning, Internet of Things, pattern recognition, and ubiquitous computing. The framework was evaluated on a dataset of ADLs, and the performance accuracies of these two functionalities were found to be 76.71% and 83.87%, respectively. The presented and discussed results uphold the relevance and immense potential of this framework to contribute towards improving the quality of life and assisted living of the aging population in the future of Internet of Things (IoT)-based ubiquitous living environments, e.g., smart homes.
El uso de Schoology en CFE durante la emergencia sanitaria

In this article, the authors present the work done in the “Consejo de Formacion en Educacion” (CFE) in context of the health emergency. The institutional response allowed going from an uncertain initial situation, in which the aspiration was to maintain a link between students and teachers, to a final situation in which it was possible to continue with the curricular activities through distance education without this implying resign academic quality.The work carried out by the Academic Unit of Educational Technology (UATE), which accompanied teachers and students in their incursion into the work in Virtual Platforms, is described. This support included the creation of users, classrooms, video tutorials and manuals with recommendations for academic performance.The work and patience of the students stand out, as they had to adapt to a new reality in the course of the subjects and also in the teaching practices, so important in the training of teachers. And it also highlights the work and solidarity of the teaching community that from one day to the other saw their entire work routine disrupted. Finally, the work carried out by the Guiding Teachers in Technology (DOT) and the Articulating Teachers in Technology (DAT), who carried on their shoulders the administration of virtual spaces and guidance to the CFE community, is greatly appreciated.
Pattern Databases for Goal-Probability Maximization in Probabilistic Planning

Heuristic search algorithms for goal-probability maximization (MaxProb) have been known since a decade. Yet prior work on heuristic functions for MaxProb relies on determinization, not actually taking the probabilities into account. Here we begin to fix this, by introducing MaxProb pattern databases (PDB). We show that, for the special case of PDBs in contrast to more general abstractions, abstract transitions have a unique probability so that the abstract planning task is still an MDP. The resulting heuristic functions are admissible, i.e., they upper-bound the real goal probability. We identify conditions allowing to admissibly multiply heuristic values across several PDBs. Our experiments show that even non-probabilistic PDB heuristics often outperform previous MaxProb heuristics, and that our new probabilistic PDBs can in turn yield significant performance gains over non-probabilistic ones.
Imaging seismovolcanic tremor sources distribution with seismic network-based methods reveals fluid pressure pathways within Klyuchevskoy Volcanic Group magmatic system

&amp;lt;p&amp;gt;The Klyuchevskoy Volcanic Group (KVG) located in Kamchatka, Russia is one of the World&amp;amp;#8217;s most active clusters of subduction volcanoes. In order to investigate its structure and very intense seismovolcanic activity, an international collaboration designed the KISS experiment operating a dense temporary seismic network between August 2015 and July 2016. During this period, the main volcano of KVG &amp;amp;#8211; Kyuchevskoy entered into eruption in the spring 2016. The preparation and eruptive periods have been characterized by a large number of volcanic earthquakes and tremors.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We applied in this study three cross-correlations network-based methods to detect and locate seismovolcanic tremor sources. From these three methods we extract simple 1D functions: spectral width (averaging in the 0.5-5 Hz frequency band the width of the network covariance matrix eigenvalue distribution), network response function (performing the 3D back-projection of the inter-station cross-correlations) and correlation coefficient function (averaging correlation coefficient functions computed at single station that characterize the stability in time of the single-station intercomponent cross&amp;amp;#8208;correlation function). The simultaneous application of these network features allowed us to classify the wavefield recorded by the dense seismic network. We then computed inter-station cross-correlations extracted from the first eigenvector filtered covariance matrix and generate time series of 3D spatial likelihood functions. Using output of our classification approach, we stack over time these 3D spatial likelihood functions for time windows containing tremor and we finally obtain a 3D Density Likelihood function imaging the seismovolcanic tremor sources distribution within KVG.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The addition of the temporary seismic stations from the KISS network greatly increased our detection and location resolution and thus allowed us to refine our knowledge about seismovolcanic tremor at KVG. Our results highlight a large distribution of tremor sources connecting different volcanoes and different depth levels. Most of tremor sources are located below the Klyuchevskoy volcano in a narrow zone vertically extended from the surface to the crust-mantle boundary and exhibit a highly intermittent behavior characterized by burst of activities and rapid upward and downward migrations between deep and shallow locations. Several tremor sources are also located along a SW-NE structure extending from Tolbachik to Klyuchevskoy volcanoes. We thus image the near-vertical quasi-open main conduit connecting the deep magmatic reservoir to Klyuchevskoy volcano in which very rapid pressure transfers might occur as well as a possible secondary conduit that links the marginal part of the deep reservoir to the Tolbachik volcanic system in which the system overpressure may be sometimes evacuated.&amp;lt;/p&amp;gt;
On Informative Objects

form are presented as a viable solution to a difficult problem: And in general "man" will be not one, but two things-"animal" and "two-footed." Evidently if we proceed in this way, as it is usual to de fine and explain, it will be impossible to answer and solve the difficulty. But if, as we maintain, man is part matter and part form-the matter being potentially, and the form actually man-, the point which we are investigating will no longer seem to be a difficulty. (1045α) (Aristotle, 350BCE)
Analisis Kesalahan Kalimat Bahasa Indonesia pada Teks Pidato Siswa MTs.Ma’arif 16 Nurul Hidayah Banyubang Solokuro Lamongan

The main purpose of this study was to explain the error to the wrong use of sentences in the writing of speech tech students MTs Ma'arif 16 Nurul Hidayah Banyubang Solokuro Lamongan. Describes several aspects of frequent errors, and the factors that cause errors. This research was designed using a descriptive qualitative research method. This research sample is a text written by students as a speech material extra-curricular at MTs. Ma'rif 16 Nurul Hidayah Solokuro Lamongan. Sampling techniques used in this research are data collection, data reduction, data presentation, and verification. The results of this study can be concluded that: the first one that experienced a frequent language error in the text of the speech of student of MTs.Ma'arif 16 Nurul Hidayah Banyubang Solokuro Lamongan is a linguistic element that occurred in four categories of errors, namely: spelling errors; word formation, syntactic aspects, and semantic aspects. Second, the use of punctuation.
USING VIRTUAL REALITY (VR) TECHNOLOGY AS AN EFFORTS TO ESCALATE INTEREST IN ONLINE LEARNING DURING PANDEMIC

Achieving this goal, humans continue to innovate in making assistive devices to carry out teaching and learning activities, where one of them is making a learning medium. The pandemic period that occurred in 2020 made learning carried out online so that online learning platforms or media became very important to mastered and implemented by both teachers and students. Learning media using virtual reality (VR) is an alternative solution to offer new and fun learning practices for students. VR brings interesting videos/images with adjustable time duration. This article uses a literature study approach, by collecting various materials and information, then the analysis made based on the documentation and reflections that have been compiled. The use of VR encourages learning media innovations that are different from before to increase participation and students' critical thinking perspectives and to bring students closer to VR technology. The characteristics of technology that are suitable for use such as Virtual Reality (VR) media can be implemented in the teaching and learning process in the midst of the current pandemic which aims to attract students' interest and feel a classroom-like atmosphere when offline learning takes place. Keywords : online learning, pandemic, technology, virtual reality
Reducing the Time of Live Container Migration in a Workflow

As a lightweight virtualization solution, container technology can provide resource limiting capabilities and can run multiple isolated process sets under a single kernel instance. Multi-tenant preemption leads to competition in computing, storage, and network resources, resulting in degraded computing service performance. Virtualization service migration can provide a solution to the problem of resource shortage in supercomputing systems. However, the resource overhead and delay in the migration process also reduce the efficiency of high-performance computers. To solve this problem, this dissertation proposes a method of container migration and a tool for supporting container migration. Also, this paper optimizes the startup of containers from checkpoints and proposes a multi-container migration strategy, reducing migration time by 30% compared to sequential migration. The migration method in this paper provides valuable experience for service migration in supercomputers and data centers.
KEMAMPUAN MENGIDENTIFIKASI ISI DAN PENGGUNAAN BAHASA DALAM PUISI PADA SISWA KELAS VIII SEMESTER GENAP SMP NEGERI 14 BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The problem in this study concerns the content and use of language in poetry as a result of identification of class VIII students in the even semester of SMP Negeri 14 Bandar Lampung Academic Year 2018/2019. The first aspect is the aspect of the accuracy of the analysis assessed regarding the content, the use of connotation and denotation languages, then the second aspect of the accuracy of argumentation, then the aspect of supporting evidence is in the form of quotations and accuracy of words and sentences used in identifying language content and use in poetry.The method used is quantitative method. The study was conducted in even semester at 14 Bandar Lampung State Middle School 2018/2019 academic year. The main technique used is performance or test, which gives the task to students to read poetry and students explain the contents contained in poetry and the use of connotation and denotation languages in the poem. Data analysis using descriptive quantitative analysis.
A distributed design of ripple-spreading algorithms for path optimisation problems

As a relatively new nature-inspired algorithm, Ripple-Spreading Algorithm (RSA) exhibits some advantageous features when resolving various Path Optimisation Problems (POPs) against both traditional deterministic algorithms and evolutionary approaches, e.g., RSA is a multi-agent, bottom-up, simulation model full of flexibility for modifications (like many evolutionary approaches), and it can guarantee optimality (like many deterministic algorithms). Towards real applications to large-scale POPs, RSA still needs to improve its computational efficiency. We used it to take some measures in order to achieve a trade-off between computational efficiency and optimality. This paper, for the first time without sacrificing optimality, proposes a way to significantly improve the computational efficiency of RSA. This is done by taking advantage of the multi-agent nature of RSA, i.e., a multi-agent model is naturally friendly to distributed design and parallel computing. Therefore, this paper reports a distributed design of RSA for POPs. Preliminary experimental results clearly demonstrate the effectiveness and efficiency of the new design of RSA.
Social Distancing Detector Using Yolo Network

The Coronavirus Disease, commonly known as COVID-19, has swept the world by storm. The most serious concern is that it spreads from person to person if they are in proximity. As a result, precautions such as following Social Distancing rules and wearing masks are necessary. However, many people are finding it difficult to adhere to social distancing standards due to personal obligations. As a result, Flattening the coronavirus case curve is not an easy task, and it is critical to recognize people in real-time and determine whether they are adhering to social distancing rules. Our study focuses on detecting people using YOLO object tracking model which is well-known for its speed and accuracy. Taking the center points of the bounding boxes produced by the model, we apply Euclidean distance to find the distance between two people's bounding boxes. If the distance between two points is small, the bounding box containing those points turns red, and it can be used to warn individuals not to break the rules and to take appropriate action.
Library Guides: Creating a LibGuide: Guide Maintenance

This guide will help you design an accessible, user-friendly LibGuide. Includes information and resources that are necessary in guide maintenance.
Symbolic Search for Oversubscription Planning

The objective of optimal oversubscription planning is to find a plan that yields an end state with a maximum utility while keeping plan cost under a certain bound. In practice, the situation occurs whenever a large number of possible, often competing goals of varying value exist, or the resources are not sufficient to achieve all goals. In this paper, we investigate the use of symbolic search for optimal oversubscription planning. Specifically, we show how to apply symbolic forward search to oversubscription planning tasks and prove that our approach is sound, complete and optimal. An empirical analysis shows that our symbolic approach favorably competes with explicit state-space heuristic search, the current state of the art for oversubscription planning.
A personalised recommendation algorithm of user preference products based on Bayesian network

In order to overcome the problems of low recommendation accuracy, coverage rate and user diversity index in current personalised recommendation algorithms for user preference products, a new person...
Using Biosignals for Objective Measurement of Presence in Virtual Reality Environments

The concept of ‘presence’ in the context of virtual reality (VR) refers to the experience of being in the virtual environment, even when one is physically situated in the real world. Therefore, it is a key parameter of assessing a VR system, based on which, improvements can be made to it. To overcome the limitations of existing methods that are based on standard questionnaires and behavioral analysis, this study proposes to investigate the suitability of biosignals of the user to derive an objective measure of presence. The proposed approach includes experiments conducted on 20 users, recording EEG, ECG and electrodermal activity (EDA) signals while experiencing custom designed VR scenarios with factors contributing to presence suppressed and unsuppressed. Mutual Information based feature selection and subsequent paired t-tests used to identify significant variations in biosignal features when each factor of presence is suppressed revealed significant (p < 0.05) differences in the mean values of EEG signal power and coherence within alpha, beta and gamma bands distributed in specific regions of the brain. Statistical features showed a significant variation with the suppression of realism factor. The variations of activity in the temporal region lead to the assumption of insula activation which may be related to the sense of presence. Therefore, the use of biosignals for an objective measurement of presence in VR systems indicates promise.
Utilization of Sagip Pangarap Intervention Program (SPIP) as a Flexible Learning Strategy for Students-at-Risk of Dropping-Out

Sagip Pangarap Intervention Program (SPIP) is intended for students at risk of dropping out. The validated handbook provides a clear view and guides for the users as to how this program will be implemented and monitored. It aimed to determine the effectiveness of the SPIP manual in the attendance and class participation of the students at risk of dropping out; a mixed-method research design was utilized. The participants were the 15 Grade 8 students of Calamba Bayside Integrated School enrolled during the SY 2018-2019; these students were considered SARDOs after thorough monitoring and evaluation of advisers and grade-level key teachers. The participants were chosen through purposive sampling. Results showed that there is a decrease (89. 88%) in the number of absences incurred by the SARDOs after the implementation of the intervention program. It also revealed that in terms of class participation, the results of the interview conducted to the selected teachers and parents implied that the program helped the students to regularly come to school and improve their class participation since it provides different options, strategies, approaches, and opportunities for the students regarding their schooling. Since the use of this intervention program is proven effective, it is recommended that SPIP be used by teachers to help students in improving their performance in terms of attendance and class participation.
Non-Memoryless vs. Memoryless Hardware Architectures for Convolutional Neural Networks

This work presents two hardware architectures for convolutional neural networks. The designs are concise, allowing for their implementation using programmable devices taking advantage of the high degree of parallelism and component reuse. Two different approaches are used: one architecture requires memory, while the other eliminates this need by exploiting a different sequencing pattern for the data processing. In the latter, it is possible to store only one intermediate result per network channel. We show that even when implemented on simple reconfigurable devices and using fixed-point precision, the proposed designs achieve low power, short processing time, and high hit rates, which are comparable to the hit rates obtained by a software implementation.
Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing

Meaning Representation (AMR) is a rooted, labeled, acyclic graph representing the semantics of natural language.As previous works show, although AMR is designed for English at first, it can also represent semantics in other languages.However, they find that concepts in their predicted AMR graphs are less specific.We argue that the misprediction of concepts is due to the high relevance between English tokens and AMR concepts.In this work, we introduce bilingual input, namely the translated texts as well as non-English texts, in order to enable the model to predict more accurate concepts.Besides, we also introduce an auxiliary task, requiring the decoder to predict the English sequences at the same time.The auxiliary task can help the decoder understand what exactly the corresponding English tokens are.Our proposed cross-lingual AMR parser surpasses previous state-of-the-art parser by 10.6 points on Smatch F1 score.The ablation study also demonstrates the efficacy of our proposed modules.
Designing Collective Teacher-Children Personas in Preschool: A Methodological Approach

This work in progress proposes a new approach for the design of personas representing children in preschool (aged 3-6 years old). Starting from the need to design technology for the collective use in the classroom, we looked at the group composed by the children and the teacher, the different possible ways teachers relate to children in a classroom context, and the way they work together towards a common goal. In this study, we analyse the dynamics of the group in relation to literacy-building activities and storytelling in school. Considering the inherent difficulty in interviewing children of preschool age, we decided to conduct interviews with teachers and experts and adopt a proxy approach to design of our personas. Using the data gathered from interviews and extracted from the literature regarding child-personas and adult-child reading, we start outlining a framework for the design of teacher-children collective personas in a formal educational context.