Reviewerly/exHarmony huggingface dataset:
Two approaches in solving Rubik’s cube with Hardware-Software Co-design

Algorithms for solving Rubik's cube have been an active research area since the first appearance of the cube in 1974. The challenge posed when solving the cube is to choose an algorithm that solves the cube for the minimum number of steps. Many algorithms are already implemented in software, but not many are tested with modern hardware-software methodologies, such as hardware-software co-design. Here, the challenge is to take into consideration limiting factors of hardware and implement the most efficient solution. In this paper, the hardware/software co-design is used to solve the random configuration of Rubik's cube. Two algorithms are used: the Basic algorithm and the Kociemba algorithm. The Basic algorithm is easy to understand and implement but requires many more steps to solve the cube than the Kociemba algorithm. The Kociemba algorithm requires some pre-processing tasks, such as depth-first search and pruning trees, but can solve the cube in about 25 moves. Both algorithms are implemented and tested on a custom-made robot with mechanical parts, actuators, grippers and Intel's DE1-SoC for drive control and implementation of solving algorithms. The robot successfully solved a number of random configurations. Performances (running time, number of moves needed for solving the cube) of both algorithms are measured and compared.
Ways of increasing motivation to study disciplines on the profile of training by means of a foreign language

The article deals with the peculiarities of the educational process in a technical University in order to increase the motivation of students through learning a foreign language. The concepts of «motive» and «motivation» in a broad sense of the word are revealed, and in particular, the concept of «motives of scientific activity» is given through the prism of the classification of personal motives. The paper analyzes the provisions on this issue, described in the works of such researchers as D. B. Bogoyavlenskaya, J. Dewey, A. Maslow, D. Halpern, M. G. Yaroshevsky, etc. Most researchers emphasize that the research activity is a creative interaction of the main subjects of the educational process, the result of which is the development of students’ subjectively new knowledge by solving research problems. The aim of this article is to consider the ways of increasing motivation to study disciplines in the profile of training by attracting students to research activity by means of a foreign language. The article proposes a program of involvement of students in research activity taking into account modern requirements for professional training of University graduates. The article is based on research results, questionnaires, observations and a survey conducted among first-year and second year students and the first-year students in the master’s program of the Polytechnic University, those who continue studying English.
Product Development and Design: A Bicycle Stand Case Study

Main goal of this paper is to present the methodology for product development and design. A bicycle stand product is chosen as a case study. Presented methodology is a process with several steps which include definition of problem, generating several concept designs, analysis of generated designs, choosing the best concept design, development of virtual prototype and development of real prototype. Presented methodology can be used for development and design of any product. Process of development of virtual and real prototype is presented in more detail. Virtual prototype is developed using advanced computer aided design technologies. Real prototype is developed and manufactured using advanced additive manufacturing technology.
The Scenario of English Language Teaching in Bangladeshi School

English is a West Germanic language that was first spoken in early medieval England andeventually became a global lingua franca. It is named after the Angles, one of the Germanictribes that migrated to the area of Great Britain that later took their name, as England.(Wikipedia). In Bangladesh people started learning English after the war of Independence in1971. Before that during the West Pakistan rule a few people used English for their officialpurpose.In Bangladeshi schools, Grammatical Translation Method (GTM) is used. But there has manyeffective method like Direct Method, Total Physical Response, and The Silent Way etc.These methods are more effective then GTM method. But it is force to the students in ruleslearning. They are in memorizing and getting good marks in the exam. The students do notknow how they will learn new methods and techniques. Teachers will provide the languagelearning process. Parents also support old type of learning. For this students lack behind.They do not get proper teaching from the teacher. It is hampering the English languageteaching system. English language teaching is based on the idea that the goal of languageacquisition is communicative competence. It adopts concepts, techniques and method inclassroom for recognizing and managing the communicative needs of the language learners.
Educational apps for a prospective mathematics teacher in probability course

Abstract This research aims to develop an Android Package Kit (APK) to improve college students’ mathematical critical thinking skills. The APK developed does not only contain a summary of the material and evaluation questions, but also contains contextual animation, education games, appropriate reference links for supplements and college student enrichment, and online discussion groups in which some teachers can provide feedback to discuss or lead the course of discussion in study groups. This research belongs to development research refers to ADDIE. In the analysis, the design and development stage conducts several activities to prepare the design and APK devices until the revision. At the implementation and evaluation stage, the effectiveness of learning using APKs was seen using a quasi-experimental research design with pre-test post-test control group design. This study found a feature that is different from other similar applications, the “join” and “search” features. Based on testing from media experts and material experts, it shows that the design and APK devices are learning media that are suitable for use by students, as well as the average of critical thinking skills the experimental class is better than the control class.
Framework para desenvolvimento de processos baseados na plataforma fluig.

Companies need to complete their processes in order to achieve their goals. These processesallow the company to gather the desired results when performed efficiently, such asincrease in profits and products more efficient. In order to accomplish it, these processesare being automated in so it is possible to achieve better quality. The automation ofthese processes needs to follow certain design patterns while also be agile. This researchcreated a framework in JavaScript language, capable in assist the development of theautomatization of any process. In order to use it, the developer needs to place a file in theproject folder, which will be called by the main script, as described by the rules describedin the course of this work. With the use of this tool, the development becomes simplerand faster, in addition, it will be possible to generate a development pattern that helpscode maintenance. It is also possible to add new functionalities to this project in additionto existing ones, avoiding the loss of developer autonomy.
Enhancing Students’ Speaking Ability by Using Story Telling Technique (STT)

Enhancing Students’ Speaking By Using Story Telling Technique (STT) (An Experimental Research at MTsN 2 Aceh Besar). This research aimed to find out the students’ speaking ability by using story telling technique, the focus is on fluency and vocabulary in speaking. The instruments of the researcher is test and questionnaires. The main subjects of this researcher are 32 students of VIII-I at MTsN 2 Aceh Besar. The data quantitative and qualitative. The quantitative data is gained from test and the qualitative data is gained from questionnaires. After analyzing data, the score of pre-test the lowest score is 20 and the higher score is 50. After applying the technique she give the students post-test score could be seen in the table 4.1.6 (60 and 85). While the lowest value of questionnaires is 0% and the highest value is 68.75%. Based on the score, it is suggested that the teacher should help and understand their students before teaching them. This can be done by giving the students’ chose to ask questions, involve in discussing, express their ability in English, and try to help the students to investigate and solve their problems in learning English. Moreover, the students should increase their ability in English by trying to enrich their knowledge and reading related books.
Blended learning in the modern educational process training of medical professionals

International scientific and practical conference «Current trends and factors of the development of pedagogical and psychological sciences in Ukraine and EU countries» : conference proceedings, September 25–26, 2020. Lublin : Izdevnieciba «Baltija Publishing», 2020. 516 pages.
KUALITAS SISTEM INFORMASI, KUALITAS INFORMASI DAN PERCEIVED USEFULNESS TERHADAP KEPUASAN PENGGUNA AKHIR SOFTWARE ANALISIS KREDIT

Influence of information system quality, information quality and perceived usefulness on end-user satisfaction credit analysis software aims is to prove the effect of information system quality on end-user satisfaction credit analysis software, to prove the effect of information quality on end user satisfaction credit analysis software, to prove the effect of perceived usefulness on end user satisfaction credit analysis software, and last to prove the effect of system quality, information quality and perceived usefulness together on end-user satisfaction credit analysis software at PT. Bank Rakyat Indonesia, Tbk Bengkulu Branch. The data analysis method used is multiple linear regression analysis. Hypothesis testing obtained results are the quality of the information system has been proven to affect the satisfaction of end users of credit analysis software at PT. Bank Rakyat Indonesia, Tbk Bengkulu Branch. This means that LAS applications can increase data processing capacity, have a high-security system, have good data correction facilities. The quality of information has been proven to affect the satisfaction of end users of credit analysis software at PT. Bank Rakyat Indonesia, Tbk Bengkulu Branch, meaning LAS software can increase user satisfaction because the credit analysis conducted can produce accurate, reliable, timely, and relevant data. And the last result is Perceived usefulness is proven to affect the satisfaction of end users of credit analysis software at PT. Bank Rakyat Indonesia, Tbk Bengkulu Branch, meaning that the LAS application is very helpful in completing the analysis quickly, the LAS application is able to increase work effectiveness and the LAS application makes it easier for employees to complete work so as to increase user satisfaction. Keywords: Information System Quality, System Quality, User Satisfaction
Towards Automated Anamnesis Summarization: BERT-based Models for Symptom Extraction

Professionals in modern healthcare systems are increasingly burdened by documentation workloads. Documentation of the initial patient anamnesis is particularly relevant, forming the basis of successful further diagnostic measures. However, manually prepared notes are inherently unstructured and often incomplete. In this paper, we investigate the potential of modern NLP techniques to support doctors in this matter. We present a dataset of German patient monologues, and formulate a well-defined information extraction task under the constraints of real-world utility and practicality. In addition, we propose BERT-based models in order to solve said task. We can demonstrate promising performance of the models in both symptom identification and symptom attribute extraction, significantly outperforming simpler baselines.
Frequent Pattern Mining over Unstructured Data using Semi-Structured Doc-Model and Pattern Ranking

Frequent pattern mining is an essential data-mining task, with a goal of discovering knowledge in the form of repeated patterns. Many efficient pattern-mining algorithms have been discovered in the last two decades, yet most do not scale to the type of data we are presented with today, the so-called “Big Data”. Scalable parallel algorithms hold the key to solving the problem in this context. This paper reviews recent advances in parallel frequent pattern mining, analysing them through the Big Data lens. Load balancing and work partitioning are the major challenges to be conquered. These challenges always invoke innovative methods to do, as Big Data evolves with no limits. The biggest challenge than before is conquering unstructured data for finding frequent patterns. To accomplish this Semi Structured Doc-Model and ranking of patterns are used.
Analisis Manajemen Perawatan Actuator Sebagai Safety Device Dalam Memproteksi Terjadinya Overspeed Pada Mesin Penggerak Utama Kapal

The purpose of this paper is to analyze the causes of delay in the work response of the actuator in controlling the action on the fuel injection pump rack when the ship is sailing. An actuator is a propulsion device that is driven by a pneumatic system (compressed air system) or a hydraulic system (hydraulic oil media) in the world of control applied as a safety device for machines. The accuracy of the actuator process as a tool used in security equipment on the ship's main engine plays a very important role in keeping the main propulsion engine working in safe conditions. Against the background of the weak work response of the actuator as a fuel rack propulsion on the fuel injection pump which results in damage to the main engine due to Overspeed. The problem that will be analyzed is the number of things that make the actuator work incompatible with its function. In its use, the actuator gets a signal command from the tachometer which functions to read the engine speed, which was previously sent to the Safety System Unit (SSU) to be processed and compared with the desired value/set according to the standard manual book of the machine. The method used is to use a qualitative descriptive approach. The conclusion of this paper is the need for good maintenance in the actuator system to prevent it from failing to protect engine work, such as checking the work response in pushing, pneumatic, or hydraulic drive systems, calibrating the output value of the tachometer or the system from the Safety System Unit (SSU).
Nonlinear Time-Series Prediction Using a Single MEMS Reservoir

Abstract In this work, we show the computational potential of MEMS devices by predicting the dynamics of a 10th order nonlinear auto-regressive moving average (NARMA10) dynamical system. Modeling this system is considered complex due to its high nonlinearity and dependency on its previous values. To model the NARMA10 system, we used a reservoir computing scheme by utilizing one MEMS device as a reservoir, produced by the interaction of 100 virtual nodes. The virtual nodes are attained by sampling the input of the MEMS device and modulating this input using a random modulation mask. The interaction between virtual nodes within the system was produced through delayed feedback and temporal dependence. Using this approach, the MEMS device was capable of adequately capturing the NARMA10 response with a normalized root mean square error (NRMSE) = 6.18% and 6.43% for the training and testing sets, respectively. In practice, the MEMS device would be superior to simulated reservoirs due to its ability to perform this complex computing task in real time.
Effects of Resting Actions Using Smart Toys During Break Times on Concentration in E-learning

This study conducted experiments to investigate the effects of resting actions of e-learners during break times on keeping and improving the concentrations of learners in e-learning.Two smart toys (a dog-type robot "aibo" and a toy drone) were used for the resting actions.Two types of experiments were conducted to examine the effects: one is a work type experiment (simple mathematical calculation) and the other is a memorizing type experiment (learning of English words).In those experiments, the learners played with one of the smart toys during the resting times between the learning sessions and performed certain actions accordingly.The experimental results were combined with the previous study using a humanoid robot "RoBoHoN."A questionnaire was also employed to investigate the feeling of the learners.The experiments showed that the "playing with aibo" action refreshed the learners effectively in the mathematical experiment, while the "playing with RoBoHoN" action was effective in the learning experiment.
Image defogging algorithm based on dark channel prior of adaptive weight

Abstract At present, the selection of parameters based on the dark channel defogging algorithm is relatively simple, and it is difficult to adapt to the fog images in different environments. To solve this problem, this paper proposes an adaptive weight parameter defogging algorithm. In this paper, it is found that the weight parameter ω of demisting has a certain relationship with the atmospheric light value, and based on this relationship, the optimization of demisting effect is realized. In this paper, after the improvement of the original algorithm, the improved method is compared with other methods. The experiment shows that the visual effect of the image after defogging is more real and natural.
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis

This paper describes our contribution to SemEval 2020 Task 8: Memotion Analysis. Our system learns multi-modal embeddings from text and images in order to classify Internet memes by sentiment. Our model learns text embeddings using BERT and extracts features from images with DenseNet, subsequently combining both features through concatenation. We also compare our results with those produced by DenseNet, ResNet, BERT, and BERT-ResNet. Our results show that image classification models have the potential to help classifying memes, with DenseNet outperforming ResNet. Adding text features is however not always helpful for Memotion Analysis.
Reading Between the Lines: Exploring Infilling in Visual Narratives.

Generating long form narratives such as stories and procedures from multiple modalities has been a long standing dream for artificial intelligence. In this regard, there is often crucial subtext that is derived from the surrounding contexts. The general seq2seq training methods render the models shorthanded while attempting to bridge the gap between these neighbouring contexts. In this paper, we tackle this problem by using \textit{infilling} techniques involving prediction of missing steps in a narrative while generating textual descriptions from a sequence of images. We also present a new large scale \textit{visual procedure telling} (ViPT) dataset with a total of 46,200 procedures and around 340k pairwise images and textual descriptions that is rich in such contextual dependencies. Generating steps using infilling technique demonstrates the effectiveness in visual procedures with more coherent texts. We conclusively show a METEOR score of 27.51 on procedures which is higher than the state-of-the-art on visual storytelling. We also demonstrate the effects of interposing new text with missing images during inference. The code and the dataset will be publicly available at this https URL.
Philosophical Congress as a Type of Informal Communication, or On the Problem of Reproducibility of Knowledge

The author defends the thesis that the essential aspect of communication within the philosophical community (whether global or local) is the opportunity to dis­cuss with colleagues incompletely meaningful and, accordingly, insufficiently clearly formulated ideas. Moreover, the discussion of ideas that cannot yet claim the status of philosophical knowledge, but nevertheless express the vector of in­tellectual searches, is most effectively carried out in individual communication (in various forms: from correspondence and personal meetings to joint work of local communities). This aspect of communication, characteristic of any intellec­tual community, is an essential component of collective cognitive activity. But in&nbsp;science, he is simply “overshadowed” by a rigorous methodological approach to exhaustive reproducibility of results by members of various research groups. So the preliminary stage of individual communication, during which knowledge is actually formed, is at best considered only as a background of scientific knowledge as something methodologically secondary. Meanwhile, the author be­lieves informal communication is a necessary aspect of scientific knowledge, en­suring its dynamics, and as such, today requires a particular methodological un­derstanding. This is the case in science. In the philosophical community, this type of communication is presented more thoroughly, which is very clearly demonstrated in the activities of congresses.
Solutions for providing web-accessible, semi-standardised ecosystem research site information

&amp;lt;p&amp;gt;There are a number of systems dedicated to the storage of information about ecosystem research sites, often used for the management of such facilities within research networks or research infrastructures. If such systems provide interfaces for querying this information, these interfaces and especially their data formats may vary greatly with no established data format standard to follow.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry; https://deims.org) is one such service that allows registering and discovering long-term ecosystem research sites, along with the data gathered at those sites and networks associated with them. We present our approach to make the hosted information openly available via a REST-API. While this allows flexibility in the way information is structured, it also follows interoperability standards and specifications that provide clear rules on how to parse this information.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The REST-API follows the OpenAPI 3.0 specification, including the usage of JSON schemas for describing the exact structure of available records. In addition, DEIMS-SDR also issues persistent, unique and resolvable identifiers for sites independent of the affiliation with research infrastructures or networks.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The flexible design of the DEIMS-SDR data model and the underlying REST-API based approach provide a low threshold for incorporating information from other research domains within the platform itself as well as integrating its exposed metadata with third party information through external means.&amp;lt;/p&amp;gt;
Predict and Use Latent Patterns for Short-Text Conversation

Many neural network models nowadays have achieved promising performances in Chit-chat settings. The majority of them rely on an encoder for understanding the post and a decoder for generating the response. Without given assigned semantics, the models lack the fine-grained control over responses as the semantic mapping between posts and responses is hidden on the fly within the end-to-end manners. Some previous works utilize sampled latent words as a controllable semantic form to drive the generated response around the work, but few works attempt to use more complex semantic patterns to guide the generation. In this paper, we propose to use more detailed semantic forms, including latent responses and part-of-speech sequences sampled from the corresponding distributions, as the controllable semantics to guide the generation. Our results show that the richer semantics are not only able to provide informative and diverse responses, but also increase the overall performance of response quality, including fluency and coherence.