Reviewerly/exHarmony huggingface dataset:
You, thou and thee

This study creates a prediction model to identify which linguistic and extra-linguistic features influence pronoun choices in the plays of Shakespeare. In the English of Shakespeare’s time, the now-archaic distinction between you and thou persisted, and is usually reported as being determined by relative social status and personal closeness of speaker and addressee. But it remains to be determined whether statistical machine learning will support this traditional explanation. 23 features are investigated, having been selected from multiple linguistic areas, such as pragmatics, sociolinguistics and conversation analysis. The three algorithms used, Naive Bayes, decision tree and support vector machine, are selected as illustrative of a range of possible models in light of their contrasting assumptions and learning biases. Two predictions are performed, firstly on a binary (you/thou) distinction and then on a trinary (you/thou/thee) distinction. Of the three algorithms, the support vector machine models score best. The features identified as the best predictors of pronoun choice are the words in the direct linguistic context. Several other features are also shown to influence the pronoun prediction, including the names of the speaker and addressee, the status differential, and positive and negative sentiment.
The Actual Use of Teaching and Alternative Assessment Strategies by Field-Training Students in Special Education

This study aimed at investigating the actual usage of tools and strategies of modern teaching and alternative assessment by field training students in Special Education.The sample of this study was selected from male and female
Android Based Implementation of Location-Based Service in Reporting Waste Existence

Reporting the existence of waste is an essential thing in big cities because if the waste is not disposed of quickly it will cause new problem such as disease.One of the things to be done is by increasing community participation by utilizing technologies such as smartphones to report the existence of waste.Location-Based Service (LBS) uses GPS technology in its application.Besides being able to find out the user's position, the LBS application can also determine the position of the reported waste.If a user can maximize this technology, then he or she can help out waste workers to retrieve waste by solely reporting the waste location.This research produces a mobile application that can locate and display the user's and waste position.This application is the integration of google map services in determining the path between users and a place.
Particle Swarm Optimization Algorithm for the Prepack Optimization Problem

Packing problem is one of the most well-known problems in inventory control situations.There are some methods for solving such problems one of which is the meta-heuristic algorithm.The PSO method is a procedure that solves problems with a heuristic procedure.In this study, some realistic assumptions are considered and each particle has its speed.Then, these particles transfer in the solution space, and after every iteration, fitness function for each particle is calculated.We intend to solve the packaging problem by using PSO in this investigation.It is considered that the operable cost in this problem is considerable.In this case, we have the instance of the warehouse that should manage a wide range of various shops, requiring a given group of items.Consequently, this paper is solved a Mixed-integer linear programming problem for the pre-pack optimization problem and results shows the presented method could reduce the optimal amount in reasonable time effort.
Digital Voting System Using Blockchain Technology

It's time to upgrade voting system using blockchain technology. Earlier people were able to trust each other upon a handshake but today it's extremely difficult to trust the digital world. It requires to authenticate identity and proving permission. With blockchain technology these two requirements are fulfilled. Blockchain is not an application nor a company. It is a solution for corruption. Democratic voting is critical and serious event in our country. By making use of blockchain which is a secure and robust system for digital voting can be devised. Traditional voting system uses centralized system, and there is one organization that manages it. It is possible to alter the database but by adopting blockchain technology which is a decentralized system we can prevent tampering and manipulation. Our proposed system achieves end -to-end verifiability using consensus algorithm.We present our efforts to explore use of blockchain technology to seek solutions to problems in traditional voting system.Blockchain technology has positive impacts on our social life.This system will help increase the number of voters as well as the trust of people in their government.
Lyndon Factorization Algorithms for Small Alphabets and Run-Length Encoded Strings

We present two modifications of Duval’s algorithm for computing the Lyndon factorization of a string. One of the algorithms has been designed for strings containing runs of the smallest character. It works best for small alphabets and it is able to skip a significant number of characters of the string. Moreover, it can be engineered to have linear time complexity in the worst case. When there is a run-length encoded string R of length ρ , the other algorithm computes the Lyndon factorization of R in O ( ρ ) time and in constant space. It is shown by experimental results that the new variations are faster than Duval’s original algorithm in many scenarios.
Effect of Service Quality Gaps in Hospital Industry

Quality is considered as one of the imperative factors.In hospital industry patient is a consumer of the hospital whose fulfillment must be taken note.The fulfillment of the patient has relied upon the service execution which has been performed by the hospital.The quality of the service measures the expectation and perception of the patient about service quality which has been given by the administration, so the level of a gap can be addressed.Service dissatisfaction in the hospital industry emerges because of gaps that emerge in patient service.In the event that the service gave meets the patient desire at that point the patient is satisfied, in case the service gave meet not up to the patient expectation then the patient is dissatisfied.The gap between the two will indicate whether the service quality is high or low on each of this variable (service engagement, patient safety, staff capacity, admission and discharge process, a culture of respect)in order to measure service quality by using SERVQUAL model.
Content-Based Image Retrieval: An Assessment

The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval.With the ignorance of visual content as a ranking clue, methods with text search techniques for visual retrieval may suffer inconsistency between the text words and visual content.Content-based image retrieval (CBIR), which makes use of the representation of visual content to identify relevant images, has attracted sustained attention in recent two decades.Such a problem is challenging due to the intention gap and the semantic gap problems.Numerous techniques have been developed for content-based image retrieval in the last decade.The purpose of this paper is to categorize and evaluate those algorithms proposed during the period of 2003 to 2016.We conclude with several promising directions for future research.
EFFECTIVENESS VS. EFFICIENCY: AN ANALYSIS OF VALENCY AND COLLOCABILITY IN A TECHNICAL CONTEXT

Abatract. The article presents the results of a lexico-syntactic analysis of valency and collocability of English words, related to one semantic group: effectiveness and efficiency . The aim of the research was to study the ability of these words to syntactically and lexically contact with other words, taking into consideration certain difference between their lexical meanings. The objectives included determining semantic variations and analysis of word classes in the left and right contexts. The material, 177,144 words, comprised 700 article titles and abstracts from seven international journals with geological and petroleumrelated specializations. Methods of study involved continuous sampling, classification, and analysis of lexical meanings of relevant words. It was found that the frequency of effectiveness was 40% higher than that of efficiency. Both of them had similarities in syntactic valency: they occurred in identical syntactic structures, however, with different rates of occurrence. The difference is the most obvious in such syntactic structures as N(E)+of+N - characteristic of effectiveness, and V+A+N(E) - specific to efficiency. A typical example of effectiveness was the effectiveness of the proposed method , while that of efficiency - improve production efficiency . Effectiveness collocated more often with method-related notions, whereas efficiency - with processes. The gained data correlate with the definitions: effectiveness has a wider semantic field (which explains a higher rate of its occurrence) and is oriented towards result, while efficiency implies process and has an additional technical meaning. The data can be used in the practice of teaching English as a second language for students with technical specializations and technical translation.
Phrase Structure Identification and Classification of Sentences using Deep Learning

Phrase structure is the arrangement of words in a specific order based on the constraints of a specified language.This arrangement is based on some phrase structure rules which are according to the productions in context free grammar.The identification of the phrase structure can be done by breaking the specified natural language sentence into its constituents that may be lexical and phrasal categories.These phrase structures can be identified using parsing of the sentences which is nothing but syntactic analysis.The proposed system deals with this problem using Deep Learning strategy.Instead of using Rule Based technique, supervised learning with sequence labelling is done using IOB labelling.This is a sequence classification problem which has been trained and modeled using RNN-LSTM.The proposed work has shown a considerable result and can be applied in many applications of NLP.
Teacher-Students’ Relationship in Teaching and Learning Reading through Alphabet Cube to Young Learners

The research aims at describing teacher’s process in building teacher-students relationship in teaching and learning reading through alphabet cube to 15 young learners 5-6 years old and a teacher as the sample at RA AL-Barokah Jenggawah. This is a descriptive-qualitative research with data collection through observation, interview and documentation. In building teacher-students relationship in teaching and learning reading through alphabet cube, building a sense of community within the classroom and creating consistent routines and procedures were the highest frequency among all with 95 % and 93 % implementation. On the contrary, the use of humor, create consequences for behavior together and show courtesy were the lowest implementation by the teacher with 30 % and 47 % implementation. Other components implemented by the teachers included giving attention, motivation, sense of togetherness, individual assistance, proximity, feedback and using praise indicated the average percentage implementation from 63%-89%. It can be concluded that most of the activities in thirteen components in building teacher-students relationship in teaching reading using alphabet cube to the students at RA Al-Barokah Jenggawah were implemented above fifteen percent by the teacher.&#x0D; Keywords: teacher-students relationship, teaching reading, alphabet cube, young learners
Some Implications for Ērika: Implicatives in Danish, Finnish and Lithuanian

The article deals with implicative verbs, i.e., verbs that, both in their affirmative and negative forms, carry implications as to the factual status of their propositional complements, e.g. manage, forget, bother etc. Karttunen (1971), who introduced the notion, already pointed out that a verb that is implicative in one language need not necessarily have implicative counterparts in other languages. It is conceivable that some languages have semantic groups of implicatives not represented, or less well represented, in other languages, and this deserves to be investigated. In this article the authors offer just a very preliminary exploration based on three languages, one North Germanic, one Fennic, and one Baltic. They show that even such a small sample may reveal interesting differences. The authors also pause over certain general tendencies in the semantic development of implicatives. While most of the work on implicatives has been done in the tradition of formal semantics, the authors show that a more cognitively oriented approach (invoking mechanisms of subjectification) can yield valuable insights into the polysemy of implicatives.
Pengaruh Metode Collaborative Learning terhadap Keterampilan Menulis Karangan Narasi

&#x0D; This study aims to determine the effect of using collaborative learning methods on narrative essay writing skills. This type of research is quantitative using the experimental method. In this study two classes were used, namely the experimental class and the control class, the experimental class was the deliberate class given a set of treatments by applying collaborative learning methods while the control class as the comparison class applied the conventional method. The results of the study, collaborative learning methods influence the writing skills of narrative essays in the experimental class, this is evidenced by the change in the value of students, which at the time of pre-test the average/mean is 74.8. After applying collaborative learning methods in the learning process in the experimental class, changes in student learning outcomes were obtained at post-test with an average value of 82.4. In conclusion, there is a significant difference between the results of narrative essay writing skills between collaborative learning methods and conventional methods.&#x0D; Keywords: Collaborative Learning, Narrative Writing Skills&#x0D;
MEMBANGUN BUDAYA LITERASI MELALUI MATA KULIAH BAHASA INDONESIA SEBAGAI MEDIA REVOLUSI MENTAL GENERASI PRODUKTIF

In the era of highly advanced communication as it is today, the role of sophisticated mobile phones and tablets replaced many of the roles of the book. As the result, students are more interseted in spending time with gadgets than reading and writing books. Moving from the phenomenom, the culture of literacy is sustained in the Indonesian language course. The Indonesian course as an MPK emphasizes the skills of using Indonesian as the national language and national in a good and correct way to master, apply, and develop science, technology, and art as the embodiment of love and nationality to the Indonesian language. The title raised in this paper is “ to build a culture of literacy through the Indonesian language as a medium of productive generation of mental revolution”. Importan issues that will be the author of lift, namely: How to build a culture of literacy through the Indonesian language as a medium of productive generation of mental revolution. The theory used, taht is mentally related to the mind. Mentality is related to the way of thinking. Indonesian language courses serve as a medium of mental revolution of productive generation. By presenting the substance of the term revolution of the study should be incorporated into the activities of using the Indonesian language through listening, speaking, reading and writing skills with focused academic writing skills so as to train or familiarize the mental revolution with the productive generation.
A Special Issue of IEEE Geoscience and Remote Sensing Magazine [From the Editor]

Presents the introductory editorial for this issue of the publication.
Cloud web-technology for contest procedures organization for quality of educational resources estimation

Problem and goal. The article represents the description, model and result of the development of application software available on the Internet to automate the organization of competitive procedures. The relevance of the creation of automated systems for assessing the quality of educational resources is due to the need to ensure the availability and efficiency of evaluation and competitive procedures in educational institutions. Methodology. The study is aimed at the design and development of a cloud portal-designer, which allows to automate competitive activities in educational institutions. In contrast to the existing similar developments, the created system represents the applied software for creation and carrying out competitive actions in educational institutions. Results. The work is of practical value for educational institutions of all levels and individual communities in need of automated systems of competitive evaluation of educational resources. Conclusion. For the first time, a projective cloud environment for automating the assessment of the quality of educational resources that have an object form (digital educational resource, teacher activity, information system, information environment, lesson, etc.) is proposed, and for which it is possible to build a criterion model of quality.
Peningkatan Kemampuan Menulis Menggunakan Metode Sugestopedia pada Mahasiswa Program Studi Pendidikan Bahasa Indonesia Fakultas Keguruan dan Ilmu Pendidikan Universitas Bengkulu

Abstract: The Purpose of this study was to improve the writing skills of class A students of the Indonesian Language Study Program FKIP Bengkulu University: Suggestopedia method is a strategy that has the main principle, namely, suggestions that can influence the result of learning situasion, both positively and negatively, by comfortably occupying students, setting up baground music in class during lessons, increasing individual participation, using posters to member big impressions while highligting information. This study uses a qualitative approach with descriptive methods. Descriptively use to describe the learning conditons. This type of research is classroom action research. this research was conducted in two cycles. The Research procedure used was the Arikunto Model class action research procedure, namely by conducting several steps of research which included (1) action planning, (2) action implementation, (3) observation, (4) reflection. The source of this research data comes from the results of the first cycle and second cycle research. Data analysis was done by(1) collecting data and student work in the form of writing speech concepts in public, (2) evaluating student data and performances, (3) making conclusions. Based on the result of the study obtained result; the first cycle can be concluded, there is still a distance between the theme and the substance of the explanation about the contents of the concept of student writing, so that the idea seem not well organized. Cycle II learning activities themes have been interrelated with explanatory substances and the ideas have been neatly arranged fiber aspects of imagination that have been used have increased.Keyword: Sugesstopedia
Characteristics and Mineral Content of Lampung Tengah Ironsands

Characteristics and Mineral Content of Lampung Tengah Ironsands. This study is carried out to investigate the characteristics and mineral content of ironsands from Bekri, Lampung Tengah Regency by using precipitation method. The research was conducted in Physics Laboratory of Institut Teknologi Sumatera from June to September 2018. Mineral content of sand is analayzed with X-Ray Diffractometer. The extraction was varied in temperature and stirring time. The temperature is varied in 80oC, 120oC, dan 160oC and yields different size; 33.76 nm, 11.84 nm and 11.14 nm. Meanwhile, the extraction is varied for 2 hours, 4 hours and 6 hours stirring and yields particle with 43.12 nm, 11.14 nm and 11.32 size. Mineral content of ironsands in Lampung Tengah are dominated by Ilmenite and Potassium Chloride.
Bio-inspired Security Scheme for IoT Technology

There is a general consensus among scholars and ICT practitioners that the evolution of technology in today's world has advanced [1] to a level where communication between individuals and abstract objects is possible under the framework of Internet of Things (IoT).However, due to security threats and constrained resources (such as memory, power and processing capacity), applying traditional approaches of security on these category of devices has become a challenge to ICT professionals in this era of cybersecurity.Therefore, this study proposes a flexible solution that can be used to classify IoT devices into operational domains, whereby a meta-heuristic Nature-Inspired Firefly algorithm is used to tune parameters for the various domains to prevent attacks from spilling all over the entire community of IoT devices.With this approach, no device shall be allowed to communicate outside its domain.The proposed technique is modeled on the behavior of the firefly that uses its light intensity to communicate to friends and frighten off impostors or enemies.Through iterative simulations done, we were able to achieve constant light intensity (attractiveness) with different bands.Our findings revealed a fast and improved convergence rate as compared to other nature inspired algorithms.Therefore, we recommend that these bands can be allocated to the various IoT domains.Limitations of the study and future directions are well addressed.
Exact Evaluation of Statistical Moments in Superradiant Emission

Superradiance describes the coherent collective radiation caused by the interaction between many emitters, mediated by a shared electromagnetic field. Recent experiments involving Bose–Einstein condensates coupled to high-finesse cavities and interacting quantum dots in condensed-matter have attracted attention to the superradiant regime as a fundamental step to create quantum technologies. Here, we consider a simplified description of superradiance that allows the evaluation of statistical moments. A correspondence with the classical birthday problem recovers the statistical moments for discrete time and an arbitrary number of emitters. In addition, the correspondence provides a way to calculate the degeneracy of the problem.
The WTO Disciplines and Trade in Products Powered by Artificial Intelligence: Old Wine and New Wine-skin?

As goods and services powered by AI continue to proliferate, scholarly opinion seems to consider that current WTO law is insufficient to regulate trade in AI-powered products.The following reasons can help explain this perceived insufficiency of the WTO law: (a) AI-powered products are difficult to categorise within the perceived goods/services dichotomy under WTO law, thus causing uncertainties as to the applicable legal regime; and (b) the WTO law has yet to respond to the need for national governments to strike a balance between trade and controversial trade practices regarding AI-powered products.This paper argues that while current WTO law is far from perfect, it does partly regulate trade in AI-powered products.The following observations substantiate the partial regulation of trade in AI-powered products by the WTO law: (a) AI-powered products cannot escape existing WTO disciplines on trade in goods and trade in services, by virtue of either the involvement of AI or the perceived goods/services dichotomy; and (b) efforts to balance trade/non-trade interests associated with trade in AI-powered products are allowed under the GATT/GATS' 'public morals' and security exceptions.