Reviewerly/exHarmony huggingface dataset:
The application study in nursing students of the integration of teacher and students in bilingual teaching based on mobile learning

ObjectiveTo assess the effect and student's experience of the integration of teacher and students in bilingual teaching based on mobile learning.MethodsDesign the integration of teacher and students in bilingual teaching based on mobile learning, and then implement it in 54 undergraduate nursing students of 2014 grade at Tianjin University of Traditional Chinese Medicine. Before and after the course, the learning outcomes were evaluacted by using general questionnaires, learning process questionnaires and intercultural competence evaluation scale. An interview was also implemented to explore the learning experience of 6 students by purposive sampling.ResultsThe student's satisfaction about this course was 81.5%(44/54), and 61.1%(33/54)students were interested for English are increased, 57.4%(31/54)students were interested in emergency and critical nursing. There were 59.3%(32/54) students who thought the important learning materials were the bilingual courseware of blue ink cloud platform, and there were 59.3%(32/54)students need 1h~2h prepare and preview. As for the students' transcultural ability, the score in foreign culture knowledge dimension was(16.47±5.82) before the course and(18.91±5.66) after. There was statistically significant difference (t=-2.18, P<0.05).ConclusionsThe integration of teacher and students in bilingual teaching based on mobile learning can improve students' satisfaction, active attendance and learning interest.Key words: Bilingual; Integration of teacher and students; Teaching program; Mobile learning
WESITE PENYEDIAN INFORMASI RUMAH KOS KAB.INHIL Studi Kasus: Sebagian Rumah Kos Yang Ada Di Tembilahan

In connection with the development of information technology, naturally it will force the public to utilize the technology to the maximum extent possible from all aspects of life. Of course information varies, one of which is for students and students who will go to college or study in a place far from where they live. For this reason, it is clear at this time that students and students must immediately find a temporary residence to be used as their residence until the study is complete.&#x0D; The need for proper education has increased rapidly or significantly. Being aware of this, the author, builds a website-based boarding house information system, as a means of providing effective housing information for boarders, tenants, and managers Kons house to promote boarding houses that will be rented and manage everything related to boarding houses on the website quickly, easily, and up to date. Boarding house is a flat or single house that was built with the aim of being rented with a period of less than a month or annually or more. Website development uses the waterfall method, whereas for modeling using UML (unifield modeling language). The modeling languages ​​used are PHP and XAMPP for databases. Website Keb.Inhil Boarding House Information Provision is complemented by booking rented houses online to facilitate prospective boarding-dwellers without having to go straight to the field to order a boarding house.
Channel encoding system for transmitting image over wireless network

Various encoding schemes have been introduced till date focusing on an effective image transmission scheme in presence of error-prone artifacts in wireless communication channel. Review of existing schemes of channel encoding systems infer that they are mostly inclined on compression scheme and less over problems of superior retention of signal retention as they lacks an essential consideration of network states. Therefore, the proposed manuscript introduces a cost effective lossless encoding scheme which ensures resilient transmission of different forms of images. Adopting an analytical research methodology, the modeling has been carried out to ensure that a novel series of encoding operation be performed over an image followed by an effective indexing mechanism. The study outcome confirms that proposed system outshines existing encoding schemes in every respect.
Karakterisasi Biopolimer Kitosan Hasil Deasetilasi Limbah Kepiting Rajungan (Portunus Sanginolentus) Menggunakan NaBH4 Dalam NaOH

The chitosan isolation from crab crab waste (Portunus sanginolentus) has been carried out. Chitin production is carried out by the de-proteination, demineralization and depigmentation processes. Chitosan biopolymer is produced from chitin through de-acetylation method using base solution (NaOH) and the addition of NaBH4 which aims to increase the degree of de-acetylation (DD) of chitosan. The results of 25 g of chitin obtained chitosan amounted to 16.67 g (66.68%). Chitin and Chitosan were identified by a Fourier Transform Infrared (FT-IR) spectrophotometer.
SUSTAINABLE CONCEPT APPLICATION TO WASTEWATER TREATMENT IN NURI BUILDING AT Dr. M. SALAMUN BANDUNG HOSPITAL

Abstract - Inpatient Installation Room (IRNA) is a facility that is owned by each hospital, which requires a source of clean water with a large capacity and produces large amounts of wastewater as well. Wastewater in the form of gray water, black water, or special wastewater can be treated before being discharged or reused as a source of recycle water. The main elements in the concept of sustainability are “reduce, reuse, and recycle”, the concept can be applied to the building planning, one of which is the building utility system. The application of the concept of sustainability in the NURI building is found in the building wastewater treatment system (Gray water) as a source of recycle water that is used specifically for a flush on the toilet. The method used in this study is a descriptive method with a quantitative field data analysis approach, namely data on the number of building users, the capacity of clean water, wastewater, and recycle water, as well as the dimensions of the water reservoir. This study aims to determine and understand the effectiveness of the volume and use of space for reservoirs of clean water, wastewater, and recycle water by applying the concept of sustainability to the building wastewater treatment system in the building. Keywords – Hospital, Wastewater, Recycle Water, Sustainability, NURI Building.
Supporting the Experience of Stakeholders of Multimedia Art – Towards an Ontology

We introduce the rapid change of the visual art ecosystem, triggered by current science and technology development. ICT enables new multimedia based an interactive art forms, with an increasing variety of stakeholders. We provide examples of audience involvement, of immersion, and of brain-computer interaction as a new paradigm for participation. We point to the use of new material dimensions, as well as to expanding shared creation and cognition. We also point to opportunities to apply this development to accommodate special needs. In order to support the dissemination of these possibilities, we advocate the development of a task-modeling based ontology to describe, analyse, and support the evolving art ecosystem.
Teaching Indonesian Ambiguous Words on BIPA

Indonesian language has huge of ambiguous words.These words are confused for foreigners whom learned Indonesian.This paper will discuss some roads to teach ambiguous words which mostly called homonyms.Homonyms are words sound and spelling the same however they have different meaning.Integrative methods and techniques are needed in teaching homonyms to BIPA students who are foreigners.This study will also show some examples of materials for teachers to prepare their teaching materials.Moreover, it will explore how the roads to implement on teaching to BIPA students.
A Survey Study: The Students’ Reticence in English Classroom at Senior High School in Pekanbaru

The students are expected to be active in teaching and learning process. However, according to the preliminary study on Senior High in Pekanbaru. The students still have problem in learning English. They are reticent and passive in the classroom. They tend to be silent and quiet during the learning process. The class participation is far from the expectation of the learning objective from the curriculum. Therefore, this research was aimed to find out the factors that influenced students’ reticence in English classroom and the dominant factor that caused students reticence at Senior High School in Pekanbaru. This research is descriptive quantitative research, which data were collected by a questionnaire. The sample was randomly selected for 102 students out of 289 students of population. the writer found the factors that influence of students’ reticence in English classroom; First, they are the individual factors with 3.05 mean score by the percentage was 61.1%. Second, psychological factors with 2.71 mean score by percentage 54.3%. Third, affective factors with 2.65 mean score by percentage 53%. Fourth, environment factors with 2.60 mean score by percentage 52.1%. Finally, linguistic factors with 2.53 mean score by 50.6%. Meanwhile, the dominant factor that caused the students’ reticence in English classroom is individual factors that were the main indicator is underprepared with the percentage of 62.6%. The students felt nervous and did not confident to speak English. Therefore, it is better for the teacher to know the factors contribute to that reticence and could minimize the dominant factors in order to pursue the teaching and learning process more efficiently and enjoyable in learning English.
An examination of the relationships among Organizational Cynicism, Organizational Commitment, and Psychological Contract in the Hotel Industry

This study aimed to examine the relationship between organizational cynicism, organizational commitment, and psychological contract as perceived by employees in the hotel industry.Data were collected from 20 hotels located in the Greater Cairo region in Egypt.A total of 342 valid surveys were collected and analyzed.PLS-SEM was applied using Smart PLS 3 software.The findings revealed a significant positive correlation between psychological contract and employees' organizational commitment.In addition, the study revealed a significant negative correlation between the fulfillment of psychological contract and employees' organizational cynicism.The study may deepen the understanding of the psychological contract concept in the hotel industry context.This study also could help hotel managers in establishing a psychological link between hotel properties and their employees which may influence whether employees will remain or leave the organization.
General Analytical Engine for Touch Based Systems (GAETS)

Touch based systems are increasingly used to showcase products in the current markets.However, a robust system is needed to analyse the response and activities.We introduce an interactive general analytical engine (GAETS) designed to facilitate the creation of descriptive analysis done for touch based hardware.We intend to do this by keeping a tab on the number and variety of people who are using the hardware and analyse their actions based on what is displayed on the screen.This project will be implemented in three phases.The first phase will include image capturing, face recognition and image retrieval.Secondly, image processing will be done on the face detected (for detecting gender and age group) as well as on the icons the user accessed.Finally, a detailed analysis of the data gathered will be done and reports will be demonstrated visually on a dash board.This system will help the market analysts to know current market trends and sales patterns classified on the basis of gender and age group.The system would be modular in design to allow customization while retaining a flexible and stable structure.
Cartesian Product on Vague Bi-ideals and Vague Interior Ideals of a ℾ-Semiring

In this paper, we introduce and study the concept of cartesian product of vague sets of a Γ-semiring R and we characterize vague Γ-semiring, left(resp. right) vague ideal, vague bi-ideal and vague interior ideals of R in terms of cartesian product of vague sets of R.
Optimalisasi Kinerja MGPS Pada Sistem Pendinginan di Kapal MT. Ketaling

Marine Growth Prevention System (MGPS) is an anti-fouling machine used to prevent excessive growth of marine biota and rust in the sea water cooling system. The purpose of this study was to determine the decline in MGPS performance factors, the impact of these factors, and the efforts made to optimize the performance of MGPS. The method used in this study is qualitative, using Fishbone and SHEL data analysis techniques. Fishbone is used to analyze possible problem factors and then analyze and categorize problem priorities using the SHEL technique. The results of the study concluded that the decline in MGPS performance was caused by inaccurate voltage regulation, the use of anodes that exceeded the age limit, sea water conditions or elements, and lack of knowledge of an engineer. This has an impact on the MGPS performance on the cooling system on the ship. To overcome these factors, operation and maintenance of MGPS machining must be based on a manual book, replace anodes that are over the age limit, and provide training to engineers about MGPS machining
Games and AI: Paths, Challenges, Critique

In 2006, the first-person shooter F.E.A.R. makes headlines in the gaming world. One feature in particular attracts much attention: the non-playable characters seem to behave intelligently to a degree yet unseen in computer games. From earlier productions like No One Lives Forever 1 &amp; 2 (2000, 2002), players were already familiar with NPCs that are able to seek cover under fire and to leave it at random in order to shoot back at the player. In F.E.A.R. that happens too, but in a much more realistic manner. Computer-controlled enemies attack players in a coordinated way. If one member of the enemy team comes closer, he gets supportive fire by his team members. If the player attacks them, enemy forces remain in cover until they are immediately threatened.Ten years later, an AI system called AlphaGo beats the human world champion Kim Sung Yong in the ancient board game Go in five rounds—final score: 4-1. The global community of Go players is perplexed, almost shocked, even though the victory did not totally come out of the blue. Already in October 2015, an earlier version of AlphaGo was able to beat the European Go champion Fan Hui. However, Hui’s playing level was significantly lower than that of Kim Sung Yong (2-dan out of possible 9-dan levels).As these introductory examples illustrate, the relationship between artificial intelligence (AI) and games can basically be studied from two perspectives: The first is the implementation of AI technologies in games, in order to improve the game experience in one way or another, for example with the intention to make it more believable, more immersive, or simply more enjoyable. The second is the use of games as a benchmark, a learning or test environment to evaluate, but also demonstrate, the current state of AI technologies. Both perspectives have gained enormous importance in recent years—technically, but also culturally and economically.
Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window

Since the discovery of motifs in molecular sequences for real genomic data, research into this phenomenon has attracted increased attention. Motifs are relatively short sequences that are biologically significant. This paper utilises the bioinformatics application of the algorithm outlined in [5], testing it using real genomic data from large sequences. It intends to implement bioinformatics application for real genomic data, in order to discover interesting regions for all maximal motifs, in a sliding window of length ℓ, on a sequence x of length n.
Radioelement anomalous rock types and uranium migration in Wadi Araba area, Northern Eastern Desert, Egypt

The present study deals with integration between aeroradspectrometric and geologic data to identify significant anomalous rock types of high U, Th and K concentrations in Wadi Araba. Their delineation is based on the technique of computation of uranium favourability index (U 2 ), three-elemental effective (F) and corroboration (C). The U 2 -index, F- parameter and C- factor were found to vary from 0.28 to 1.29 for U 2 , from 0.13 to 0.30 for F and from 8.33 to 14.60 for C. The study area was selected to apply these techniques due to its distinct stratigraphic and structural setting which give a good chance to deposit a different types of minerals in it. Investigation of the possibility of identifying rock types, where uranium migration took place, was conducted to delineate the degree of such migration. The estimated contents of eU (ppm), eTh (ppm), K% and eU/eTh (ppm/ppm) ratio for the different rock types were used to study of such mobilization of uranium. The study revealed that uranium migration out was associated with all the rock types of the area except El-Galala formation which still as it is over the time without any change.
Exploring the efficiency of the combined application of connection pruning and source data pre­processing when training a multilayer perceptron

A conventional scheme to operate neural networks until recently has been assigning the architecture of a neural network and its subsequent training. However, the latest research in this field has revealed that the neural networks that had been set and configured in this way exhibited considerable redundancy. Therefore, the additional operation was to eliminate this redundancy by pruning the connections in the architecture of a neural network. Among the many approaches to eliminating redundancy, the most promising one is the combined application of several methods when their cumulative effect exceeds the sum of effects from employing each of them separately. We have performed an experimental study into the effectiveness of the combined application of iterative pruning and pre-processing (pre-distortions) of input data for the task of recognizing handwritten digits with the help of a multilayer perceptron. It has been shown that the use of input data pre-processing regularizes the procedure of training a neural network, thereby preventing its retraining. The combined application of the iterative pruning and pre-processing of input data has made it possible to obtain a smaller error in the recognition of handwritten digits, 1.22 %, compared to when using the thinning only (the error decreased from 1.89 % to 1.81 %) and when employing the predistortions only (the error decreased from 1.89 % to 1.52 %). In addition, the regularization involving pre-distortions makes it possible to receive a monotonously increasing number of disconnected connections while maintaining the error at 1.45 %. The resulting learning curves for the same task but corresponding to the onset of training under different initial conditions acquire different values both in the learning process and at the end of the training. This shows the multi-extreme character of the quality function – the accuracy of recognition. The practical implication of the study is our proposal to run the multiple training of a neural network in order to choose the best result
METHODOLOGICAL INTERPRETATION OF THE PROFILED GEOGRAPHY PREPARATION OF THE BULGARIAN SCHOOLS IN THE SECOND HIGH SCHOOL STAGE

The school subject Geography and Economics as a compulsory general education and profiling builds the foundations of social and civic competences in integrative synthesis with other school subjects in the public cycle.The profiled preparation is normatively located in the second secondary high school stage of the middle degree, comprising a total of 6 modules.The situational analysis covers the 6 compulsory modules and presents the composition of the school content, the hororium, the goals, the structural-content framework of the state educational standard, profile belonging, requirements for the training results for knowledge, skills and attitudes.The materials on which the situational analysis was made are the Law on pre-school and school education and its by-laws, the State educational standard in geography and economics for profiled preparation, and the curricula in geography and economics in profiled preparation.The methods by which the methodological interpretation is implemented is situational analysis, content-analysis, complex, integrative, research analysis and systematic and competence approach.The results of the analyzes are presented in a logical matrix and in graphical models, through which the geographical synthesis and the profiled vision of the learning content in geography and economics are deduced.Identifying the realization of the specific goals of geography and economics training in the profiled preparation secures the expansion and the deepening of knowledge and skills about natural, demographic, geopolitical, economic and social phenomena and processes, the formation of the geographical culture of understanding and reasonable activity in the geographical space and the formation of models of behavior for active citizenship position of the trainees.
Motivational Preconditions of Specialist Leadership Development in the Process of Training

Our paper focuses on the issue of motivational preconditions of leadership development in the process of professional training.The paper presents theoretical and empirical results of the study of professional motives formation peculiarities that influence optimization of students' leadership qualities in the conditions of an educational process and discusses innovative motivational and leadership approach to becoming a professional.We made emphasis on the fact that the activity is multimotivated and encouraged by a group of conscious and unconscious motives.In our empirical study, we found that leadership is determined by certain motivational prerequisites, which combine the need for success, recognition, respect, and power.Motivation for success is formed on their basis; in the process of professional training future specialists are optimized for leadership potential as evidenced by their level of communicational and organizational skills development.We substantiated that educational training project for students should be included in the educational process.We gave the example of the training program content.The topic of the program: "Motivation of staff to successful leadership".We also determined the stages of professional motivation formation.
Sentiment Analysis-An opinion mining tool

For purchasing any product, to watch a movie one wants to know what other people think about that product and most of them are using internet for that purpose..With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people actively use information technologies to seek out and understand the opinions of others.Many people share their experiences on-line, express their opinions, frustrations, or simply talk about anything.Opinion mining or sentiment classification aims to extract the features on which the reviewers express their opinions and determine they are positive or negative.We consider the problem of classifying review by overall sentiment, e.g., determining whether a review is positive, negative or neutral.Sentiment Classification is an important and hot current research area.With the growing technology many products are made available in the market and potential buyers need to be able to find out the reactions of the users towards the product before buying it.Yet there are no tools available that classify the sentiments of the users in one place.So, the main purpose of our work described herein is to provide an efficient way of providing positive, negative and neutral review from the user's reviews about the product in lesser time