Reviewerly/exHarmony huggingface dataset:
The Utilization of Mentoring and Media Counseling in Learning Information Services at Santo Paulus High School in Pontianak

This research is conducted based on the importance of the use of guidance and counselling media in providing learning information service to students. The purpose of the research is to provide descriptions on the use of guidance and counselling media in providing learning information service to students at SMA Santo Paulus Pontianak. The description focuses on the types of the media, the methods of service, the intensity of the use of the media and the impacts on students. It is qualitative research which applies interview method in its data gathering. This research provides the information that the types of media used in learning information service vary, such as powerpoint slides, guidance boards, problem boxes, films, leaflets and brochures, and electronic device that fits the types and the needs of the service. The learning information service methods applied at SMA Santo Paulus Pontianak are presentations, discussions, questions-answers, and sharing sessions. The students are allowed to choose the methods of guidance based on their characteristics. The intensity of the use of guidance and counselling media at SMA Santo Paulus Pontianak is managed based on the types of the media and the time and space limitation. The purpose of the media in the learning information service increases the students’ level of focus and interest in the service. The students’ increasing focus and interest towards the guidance and counselling service ultimately lead to the positive impacts on their characters, so that they become more responsible for their learning at school and home.Keywords: Media, Guidance and Counseling, Learning Information Service
Application of decision tree method in evaluation of nursing workload in surgical departments

ObjectiveTo evaluate the nursing workload in surgical departments by decision tree method.MethodsThe indexes of nursing workload of 23 surgical departments were analyzed with decision tree method from February 20 to March 26 in 2017.ResultsAccording to decision tree analysis, the number of admitted patients was high-priority variable (F=39.128, P=0.000), and the nursing workload was divided into four grades by number of admitted patients ≤ 1, 1 7, respectively. The suboptimal variables were number of operations (F=7.578, P=0.046) and number of electrocardiogram monitors used (F=28.306, P=0.000), the nursing workload was further divided into six grades by number of operations ≤ 5, number of operations>5 and number of electrocardiogram monitors use ≤ 5, number of electrocardiogram monitors use > 5, respectively.ConclusionsThe number of admitted patients, electrocardiogram monitors used and operative patients were significant indexes of nursing workload in surgical departments, which helps the nurse managers evaluate the nurse performance and optimize human resource allocation based on decision tree analysis and clinical practice.Key words: Decision tree; Nursing workload; Evaluation; Classification
A Literature Review of English Learning Strategies in China

This paper makes a statistical analysis of the research on English learning strategies in 13 core journals of foreign languages in China from 2003 to 2018, mainly from the perspective of research trends, research objects, and so on. The present situation of English learning strategies is reviewed in four aspects: the content and methods of the study. It is found that the research on English learning strategies in China generally shows a dynamic upward trend, and the subjects of the study are from undergraduates to graduate students, college students and middle school students, and from non-English majors to English majors. The content of the study extends from the microscopic perspective of English learning strategies to other relevance studies, and the research methods are mainly empirical research, but less argumentative research methods. In the end, some suggestions are put forward for the research of English learning strategies in China.
Recommendation in Social Website: A Method Based on Social Learning and the Strength of Ties

In this paper, a method based on the strength of ties and the social learning for online reviews to recommend products to a consumer. The strength of ties between the consumer and each of his friends are firstly calculated based on the background of the consumer’s friends. Then, the ratings of the products are obtained based on social learning and the strength of ties. Further, according to the ratings of products and the weights of the products attributes, the overall utilities of the products and a ranking of the products are determined. Finally, we propose a computational experiment to explain the proposed method.
Measurement of Wave Amount on Brass Plated Tire Steel Cord Using Local Minima and Maxima

The method of measuring the diameter in the picture of the Brass Steel Tire Cord with Pixel Distance and Sliding Window, produces an average value of 0.241 obtained by measuring Pixel Distance, when using a sliding window, the average measurement result is 0.238, the accuracy of both methods of measuring the diameter of Cord Steel Tire Brass is considered quite good, the average results obtained from 29 Steel Tire Brass Cord data set samples (April Lia Hananto et al., 2020). The problem obtained in the conventional measurement phase of Wave Amount, on the Brass Cord Tire Cord is that the resulting accuracy still requires an observation process from an officer who is considered an expert, there is a possibility of error in his observation (Bouchet et al., 2003). In this study will change the measurement process using computer vision techniques using image processing (Tateno et al., 2020). The method used in the measurement of the Number of Waves uses Local Minima and Maxima with three approaches to the Wave Amount method. The results obtained by the average measurement can be recognized as its level of accuracy and close to the standard value of the measurement company.
An attempt to unified approach to the evolution of products in the entertainment industry

Aim. We analyze temporal dynamics of entertainment industry including literature,music, fi lms and video games, introducing possible analogies between them. We providea framework for further explanation based on the economic concepts as revenue, organizationstructure and marketing goals in these creative industries for different technologicaleras.Methods. Initially, accurate data collected for time series of weekly record sales areanalyzed from statistical point of view (e.g. networks of artists, record labels and producers).This method may be extended to other parts of entertainment industry in search ofanalogies, under the infl uence of technological revolutions.Results. We provide the statistical properties of the mass art entertainment industry(including value of the markets, seasonality, products life-cycles) and interactions betweenvarious kinds of entertainment (e.g. fi lms might be infl uenced by literature with a delay).We are able to distinguish predigital, digital and postdigital eras.Conclusions. There are many ways of describing and measuring the impact of selectedentertainment industries with the most important as literature, music, fi lms and videogames. However, universal analogies may explain objective properties of entertainmentindustry in general.
Software Development Success Criteria for Projects

Managing and successfully completing software projects can become challenging for project managers due to unforeseen changes in the information technology's business environment. Creating robust software development success criteria for the project and accordingly employing the corresponding development method can greatly help project managers in this regard. Since there is no best methodology that is taken as a software development norm or a best software development process, borrowing software development success criteria from each development process and combining these factors into a set of success criteria can be treated as new/better method to apply when possible. In this paper, we show, through case studies, that a combination of success criteria from extreme programming (XP) software project model and waterfall (WF) software development process can be treated as new and potentially better sotware development success criteria. We discuss how blending the success criteria of these two models can be used in developing a new success framework for projects, which in turn, can help in delivering a successful project within the information technology organizations.
Perbedaan jumlah mikronukleus mukosa gingiva dan mukosa bukal akibat radiasi radiografi panoramik

Objectives: Panoramic radiography exposure causes DNA damage and micronucleus formation. The gingival mucosa and buccal mucosa were used to identify the number of micronucleus due to radiation exposure because they have a high prevalence of oral cancer in Southeast Asia. This research is aimed to determine the difference between micronucleus formation at the buccal mucosa and the gingival mucosa after exposed by conventional panoramic radiography in the Dentomaxillofacial Radiology Installation of Prof. Soedomo dental hospital, Universitas Gadjah Mada. &#x0D; Material and Methods: Samples were obtained by rolling the cervical brush against the buccal and gingival mucosa at 10 days after radiation exposure. Samples were stained using the Feulgen-Rossenbeck method and analyzed under binuclear light microscope with a 400x magnification.&#x0D; Results: Analysis of independent T tests showed that there was a significant difference (p&lt;0,05) in the increasing of micronucleus formation between the buccal mucosa and the gingival mucosa. The average difference in the number of micronucleus were 5,5/1000 cells. &#x0D; Conclusion: There were differences in the increasing of micronucleus between the buccal mucosa and the gingival mucosa due to exposure of conventional panoramic radiography. The buccal mucosa had higher increase than the gingival mucosa. &#x0D;
Combining Deep Learning and Verification for Precise Object Instance Detection

Deep learning object detectors often return false positives with very high confidence. Although they optimize generic detection performance, such as mean average precision (mAP), they are not designed for reliability. For a reliable detection system, if a high confidence detection is made, we would want high certainty that the object has indeed been detected. To achieve this, we have developed a set of verification tests which a proposed detection must pass to be accepted. We develop a theoretical framework which proves that, under certain assumptions, our verification tests will not accept any false positives. Based on an approximation to this framework, we present a practical detection system that can verify, with high precision, whether each detection of a machine-learning based object detector is correct. We show that these tests can improve the overall accuracy of a base detector and that accepted examples are highly likely to be correct. This allows the detector to operate in a high precision regime and can thus be used for robotic perception systems as a reliable instance detection method. Code is available at this https URL.
Difference and Identity in Piano Performance Information

With the arrival of the information society, the research on the philosophy of music art has been paid more and more attention to, and the difference and identity in the information of piano performance is worth our deep thinking. In the new era of social information, it is a timely topic which breaks through the traditional research methods of piano art and utilizes the research system of information philosophy. Based on the perspective of information philosophy, this paper attempts to reveal the difference and identity of the main body of piano performance information by observing the ontology and law of music art research and applying the basic principle of information philosophy theory. Thus, the guiding significance of information philosophy in piano performance is discussed and further analyzed.
Interface for Fake Product Review Detection, Analysis and Removal

The shift towards shopping online is increasing worldwide day by day.People prefer online shopping over traditional in store shopping for the many advantages which comes in ancillary.The main reason for the boost in online shopping is the convenience it provides to the customer.The customer can switch stores and products at the click of the button rather than traveling to a store.But, there is a catch. The customer could face difficulties when it comes to the quality standards of the product. Customer generated ratings and reviews helps the customer to understand the quality of the product before buying the product. This makes reviews and rating very important aspects that affects purchasing decisions. Therefore a negative review over a good product can affect its sales. A fake negative review can lead to have far reaching consequences. To solve this problem we propose Fake Review Analysis and Detection System (FRADS). FRADS is an Intelligent Interface that uses the Uniform Resource Locator(URL) related to products of the online shopping sites which it monitors and analyzes the reviews provided, and provides the customer with the original rating. The uniqueness of the technology is it can analyze ratings and reviews and also ranks the best reviews in a top down fashion. The proposed system achieved the accuracy of 87% in detecting fake reviews.
Image Thresholding Based on Two-Dimensional Tsallis Gray Entropy Using Fast Iterative Algorithm

In order to extract target from complex background more quickly and accurately, and efficiently improve the computational efficiency of the optimal thresholds, the rapid iteration method based on 2D Tsallis gray entropy thresholding is proposed. First of all, the rapid iteration method of one-dimensional gray-entropy threshold Tsallis is proposed. Then considering the within-class grayscale uniformity of image target and background, Tsallis gray entropy thresholding based on Grayscale-Average gray level two-dimensional histogram is derived, which along with the Intermediate variables in the recursion formula can be used to efficiently remove the redundant computation and decrease the romputation. At last, the rapid iteration method of 2D Tsallis gray entropy thresholding is proposed. The efficiency of the romputation is improved greatly by deriving the rorresponding rormula. A great number of experimental results have proven that, compared to the four similar thresholding algorithm, the method put forward in this paper can more precisely and completely fragmenting the target needed with better fragmenting performance and faster running speed, which turns out a real-time and efficient image segmenting method.
Research on the Leadership of School Managers under Collectivization

In order to realize the high-quality and balanced development of the obligation education, school of collectivization has become an important measure. Its essence is the process of combining multiple individual schools in the region to form an organic organization of education group. In this process, school managers are faced with many problems such as remote management, increased difficulty in management, and increased cost of management. How to improve their leadership under collectivization has become a key issue of research. This study analyzes the connotation of school management leadership, and investigates from the aspects of structural leadership, teaching leadership, curriculum leadership and cultural value leadership. It believes that school managers should optimize the organizational structure and build a modern school system; improve the professional level and promote the common development of teachers; build school culture and create a good organizational atmosphere.
In Memoriam of Professor Hitoshi Emi

On April 6, 2020, Prof. Emi passed away at the age of 82. He graduated in 1961 from Kyoto University, and continued his studies at the Graduate School of Kyoto University. In 1969 until his retirement in 2003 he worked at Kanazawa University. He started as an associate professor and obtained his doctoral degree from Kyoto University in 1969. He became a full professor of Kanazawa University in 1977 and was the dean of engineering at Kanazawa University from 1995 to 1997.
Evaluasi Kinerja Protokol Perutean AODV dan SDGR+R pada VANET dengan Studi Kasus Pelabuhan Lembar

The Vehicular ad-hoc Network (VANET) is a subclass of Mobile ad-hoc networks (MANETs).VANET is a wireless network created from the concept of building a vehicle network (node) toexchange data information (data communication). There is a new concept technique forVANET communication used, namely the use of the concept of Software Defined Network(SDN) on VANET. For data communication between vehicles, a routing protocol required. Themost common routing protocol used on VANET since 2003 is AODV. In 2014 several studieswere using the SDN paradigm tried on VANET technology to improve the performance ofQuality of Service (QoS), one of which is a Geographic-based SDN, called SDGR in 2016.Multicast is a method of routing data on a network that allows one node or a group of nodes tocommunicate efficiently with the receiving node. The multicast concept supports one-to-manyrouting in nodes that send packet data to a group of nodes. The development of the SDGRrouting protocol using the idea of multicast technique to SDGR based on the Direction calledSDGR + R carried out in 2019. This study uses a case study of vehicle transportationsimulations in the Lamber Port area of Lombok. The simulation results knew that SDGR + Ris better than AODV in terms of service quality (QoS) at a latency of 15.58% and packet deliveryratio (PDR) of 47.78%.
Application of multimodal guidance based on the concept of five senses and six senses on sleep phase of postoperative patients with intestinal tumor

ObjectiveTo explore the effect of multimodal guidance based on the concept of five senses and six senses on the sleep phase of postoperative patients with intestinal tumor.MethodsA total of 110 patients with intestinal tumor after surgery from January 2018 to July 2019 in Qilu Hospital of Shandong University (Qingdao) were randomly divided into two groups, 55 patients in each group. The control group received routine daily care. Instructed, the experimental group conducted multimodal guided training based on the five senses and six senses on the basis of daily care, and continued intervention for 3 weeks. Polysomnography (PSG) was used to compare the sleep phase differences before and after intervention.ResultsThe ratio of NREM to total sleep time, the ratio of stage 1 sleep time to total sleep time, the ratio of stage 3 sleep time to total sleep time, the ratio of stage 4 sleep time to total sleep time, and the ratio of REM to total sleep time after intervention. The number of NREM micro-wakes (Z value was -5.178--2.157, all P<0.05), the difference was statistically significant. The proportion of NREM in total sleep time, the proportion of sleep time in total sleep time, the number of NREM micro-wakes, and the number of REM micro-wakes decreased compared with the pre-intervention period; the proportion of sleep time in total sleep time in stage 3, sleep in stage 4 The proportion of time to total sleep time and the proportion of REM to total sleep time were increased compared with those before intervention (Z value was -6.029--4.064, all P<0.05), and the difference was statistically significant. In the control group, the proportion of sleep time in total sleep time was increased compared with that before intervention. The number of NREM micro-wake and the number of REM micro-wakes were lower than those before intervention (Z value was -2.948, -5.632, -2.475, all P<0.05). The difference was statistically significant.ConclusionMultimodal guided training based on the concept of five senses and six senses can effectively improve the sleep structure of patients with intestinal tumors and improve their sleep quality.Key words: Five senses; Multimodality; Intestinal tumor; Sleep phase; Application
Sentiment Analysis: Statistical and Linguistic Approach

With the availability of the Internet and world moving, the trend of social media and blogging culture is growing all over the world. There is an abundance of data available online about every field. Along with this availability of data comes the need to extract useful information out of it. Since manual extraction of useful content from such vast amounts of data is very nearly impossible many automated techniques have been developed. Sentiment analysis is one such example. Sentiment analysis is a growing field at the intersection of linguistics and computer science, which attempts to automatically determine the sentiment, or positive/negative opinion, contained in text. This paper discusses Sentiment Analysis
Feltkurs som læringsform. 50 år med arkeologisk feltutdanning ved Universitetet i Oslo.

The archaeological field course is the forum where many archaeology students meet and take part in an archaeological excavation for the first time. To excavate and generate scientific data through excavations is at the core of the archaeological discipline. For that reason, introducing students for theoretical and practical knowledge about field archaeology have been a central part of the discipline for the last 150 years at Norwegian universities. In this paper, we look closer at how the field course has developed at the University of Oslo during the last half century. Based on a compiled overview of field courses, we discuss how the field course has developed and changed over time in relation to the development in the discipline and higher education at large. A central question is whether the field course succeed in giving the students skills to perform an excavation and document the process. A main find is that collegial knowledge transfer run as a thread through the disciplines’ history as the most important way of training new archaeologists.
Meningkatkan Minat Belajar Sejarah Siswa Melalui Model Quantum Teaching

This research was motivated by the low interest of students’ learning in history subject, which was 38.73%. The purpose of this study is to determine the implementing of the Quantum Teaching model in order to increase students' learning interest in history subject. This type of research is classroom action research. The subject of this research was students of class X IPS 2. The technique of collecting data and instrument research is to use observation techniques using observation sheets of students’ learning interest. This study consisted of 2 cycles where there were 2 meetings in each cycle. The data analysis technique in this study uses percentage analysis techniques which then the results of the data are given meaning. The results of this study indicate that the Quantum Teaching model can increase students’ learning interest where in each cycle there is an increase in students’ learning activities from 38.73% in the initial observation to 66.97% in the first cycle and increase 85.96% in the second cycle. The increase occurred in each indicator of learning interest both on indicators of interest, involvement, feelings of pleasure and interest in learning history. Because of increasing the percentage in learning of each aspects of learning activities in each cycle, this research was stopped in the second cycle. It was stated that the Quantum Teaching model could increase students' interest in learning history subject.