Reviewerly/exHarmony huggingface dataset:
QUICK ASSESSMENT METHOD FOR CANISTER STRUCTURAL DESIGN OF INA-CBT

Abstract Canister in the Ina-CBT (Indonesian Cable-Based Tsunameter) system is a structure to protect underwater sensor system. Canister and sensor system form the OBU (Ocean Bottom Unit) system. This OBU is connected by land via submarine cable. This canister is used to protect the sensor system from the underwater leakage and water pressure. Because the location of the OBU can usually reach a depth of thousands of meters in the sea, the water pressure on the OBU becomes very large. As an illustration, for a depth of 1000 meters, the pressure on the canister wall is 1 ton per square meter. For this reason, a strong canister structure is needed to withstand water pressure without damage. The strength of this structure can be analyzed using a structural analysis program. However, if a change in pressure and dimension is needed, it needs to be re-modeled to determine its strength which requires time. Therefore a study of a method to determine quickly the strength of the canister is carried out. The results show that this method is very useful to quickly determine the dimensions and initial weight of the canister due to the external pressure load of sea water. For example, with SS 316 L stainless steel material and a canister inner radius of 100 mm, the canister is suitable for further design only for external pressures up to 30 MPa. For pressures above 30 MPa, the thickness and weight of the canisters are becoming impractical for onboard handling. Keywords: canister, ina-cbt, strength, water pressure, quick method.
IMAGE PROCESSING BASED TILAPIA SORTATION SYSTEM USING NA

Tilapia has a value of export quality and is imported from America and Europe, tilapia is cultivated in freshwater, the largest tilapia producing areas are Java and Bali for the export market in the Middle East, value fish with a size of 250 grams / head (4 fish / kg ) in their intact form is in great demand. According to news circulating, fish of this size in the Middle East are ordered to meet the consumption of workers from Asia. the fish classification process is a very difficult process to find the quality value of the fish to be sold to meet export quality. Fish classification techniques can use the GLCM technique (Gray Level Oc-Currance Matrix) classification using images of fish critters with the GLCM method.The fish image data is analyzed based on the value of Attribute, Energy, Homogenity, Correlation, Contrash, from the attribute the density data matrix is ??generated for each. Fish image data and displayed in the form of a histogram, the data from the GLCM results are then classified with the Naive Bayes algorithm, from the results of the classification of data taken from 3 types of tilapia from the types of gift, Red, and Blue.
The Construction and Implementation of "Big Classroom" System Based on Multi-ability Enhancement

According to the survey of the employment status of Chinese college students and the results of the parents' questionnaire, the lack of comprehensive ability and practical experience among college graduates has become the most worrying problem for the society and students. However, the traditional education mode pays too much attention to the first class, or separates the first class from the second and third classes, emphasizing their respective independent roles and reducing the comprehensive effect of the three classes. Therefore, it is of great practical significance to explore how to improve students' practical ability, comprehensive ability and innovative spirit through the integration of classroom system.
THE ROLE OF HIGHER SCHOOL IN PERSONAL BECOMING

The article looks into the main principles of students’ social adjustment during their studies at the university and analyzes how this process influences enhancement of their creative activity and shapes their personality. The article emphasizes the necessity for the educational process to accomplish the comprehensive development of the future specialist’s personality.
An Improved Rotation-Based Privacy Preserving Classification in Web Mining Using Naïve Bayes Classifier

Recently, the privacy and security of big data has become an important challenge, which requires the privacy preserving data mining techniques to maintain the trade-off between the data utility and privacy.Web mining is the application of data mining techniques for mining the web data.Privacy issues on the web are based on the fact that most users want to maintain a strict anonymity on web applications and activities.Various conventional techniques are used for privacy preservation like condensation, randomization and tree structure etc.The limitations of the existing approaches are maintaining a balance between the data utility and privacy and the scalability problem.The data stream can be secured and classified by privacy preserving techniques such as perturbation, cryptography and machine learning techniques, etc.Here the machine learning technique Naïve Bayes is employed to classify the perturbed data streams and provides an efficient accuracy.In this proposed research work, the UCI web mining datasets are collected, clustering is done with the help of Fuzzy C-Means (FCM), Flip and Rotation Perturbation (FRP) technique is applied to perform data renovation and classification on perturbed data is done using Naïve Bayes classifier.The classifier is improved by using a holdout approach on data separation in training and testing phases.The classification accuracy, computation time, and error rate of the classifier are measured and they are compared with the ones of the existing method.The comparison shows the achieved result of the proposed method.This proposed system is done with the help of MATLAB 2018a.
Similarities and differences between two Hungarian particles for also: szintén and is

The paper provides a comparative analysis of the syntax, semantics and pragmatics of two Hungarian particles with the same logical core meaning also: is and szintén. The analysis yields important theoretical implications since it demonstrates how two particles sharing the same logical-propositional/truth-functional core meaning can expand into two different markers. In discourse, is acts as an intensional/metacognitive pragmatic marker in the sense as proposed by Aijmer et al. (2006), while szintén functions as a coherence-signaling discourse marker. The two particles share certain syntactic-semantic properties: neither of them can be followed by a topic, they both have distributive meaning, and both of them can pertain to the noun phrase that they immediately follow, as well as to ordered n-tuples of noun phrases. However, there are also syntactic and pragmasemantic differences between them. Namely, their ordered n-tuples have different word orders; is can function as a pragmatic marker while szintén cannot; szintén can appear as a separate clause, while is cannot (this is presumably related to the fact that szintén can be stressed, while is is obligatorily unstressed); and finally, szintén can have a peculiar discourse-preserving function. We explain the syntactic differences between the two particles using the partial spell-out technique of minimalist generative syntacticians (first applied to Hungarian by Surányi 2009), and the Cinque-hierarchy-based approach to Hungarian sentence- and predicate-adverbials (Surányi 2008). We account for the pragmasemantic properties of the pragmatic-marker variant of is in the formal representational dynamic theory of interpretation called ReALIS, already presented in the LingBaW series (Alberti et al. 2016, Kleiber and Alberti 2017, Viszket et al. 2019).
Turn-around Time of Histopathological Surgical Biopsies and Delivery of Medical Services: A Patient Perceptive Perspective using the Servqual Tool

Pathology service in developing countries is characterized by system delays: obtaining, processing, and reporting the result of biopsied samples, with consequent delay in instituting appropriate treatment. The broad objective of this study is to determine the impact of service delivery on the turn-around time of histopathological surgical biopsies in the Jos University Teaching Hospital. Specifically, the study investigated the impact of reliability, assurance, tangibility, empathy and responsiveness on the turn-around time of the laboratory. To meet these objectives, a questionnaire was developed and distributed to 308 patients that sought the service of the Histopathology laboratory department in the hospital. The research revealed a turn-around time of 3 days to 30 days with a mean of 12.83+3.14 days. The research established positive influence of tangibility and reliability (two of the five dimensions of service delivery) on turn-around time. The research also revealed that the remaining three dimensions of service delivery (assurance, empathy, and responsiveness) had no significant impact on turn-around time. This study has shown that the SERVQUAL tool of service delivery can be used in assessing turn-around time in the histopathological laboratory. This is novel as to the best of our knowledge this tool has never been employed in this regard. Furthermore, it brings to the fore the importance of tangibles and reliability as two important service delivery dimensions that have significant impact on the turn-around time of surgical biopsies in histopathological laboratories.
An Anchor-Based Automatic Evaluation Metric for Document Summarization

The widespread adoption of reference-based automatic evaluation metrics such as ROUGE has promoted the development of document summarization.In this paper, we consider a new protocol for designing reference-based metrics that require the endorsement of source document(s).Following protocol, we propose an anchored ROUGE metric fixing each summary particle on source document, which bases the computation on more solid ground.Empirical results on benchmark datasets validate that source document helps to induce a higher correlation with human judgments for ROUGE metric.Being self-explanatory and easy-to-implement, the protocol can naturally foster various effective designs of reference-based metrics besides the anchored ROUGE introduced here.
Pengaruh Konsentrasi Surfaktan Non-Ionik Terhadap Viskositas Perekat Polivinil Asetat Berbasis Air

Substrate combining could be done by using adhesive. In Indonesia, especially industrial field, solvent base adhesives were still being developed. This kind of adhesive was not environmental friendly and not safe handling. Therefore, Polyvinyl Acetate (PVAc) water-based adhesive was prepared as an outcome of this research as one of solution to overcome the problem above. Effect of surfactant concentration on the viscosity was aimed at this research. Semi continuous polymerization with stirring motor rates on 50 – 500 rpm was used (optional). Pressure of 1 atm, 750C temperature, 5 – 6 hours reaction time for each was used as polymerization operation in this research. Vinyl Acetate Monomer (VAM), partial hydrolysis Polyvinyl Alcohol (PVOH), water, Ammonium Persulfate (APS) were prepared as raw material. NP-10 and NP-06 were non-ionic surfactants which each concentration was varied in this research. Water-based adhesive with NP-06 concentration variation resulting in viscosity from 98 m.Pa for 0.17 %wt concentration to 213 m.Pa for 0.68 %wt concentration. While NP-10 concentration variation resulting viscosity from 143 m.Pa for 0.17 %wt to 321 m.Pa for 0.68 %wt concentration. Therefore, adhesive with NP-10 surfactant concentration variable has a higher viscosity rate than NP-06 ones.&#x0D; Keywords: Water-based adhesive, non-ionic surfactant, adhesive viscosity
Creativity Embedding: a vector to characterise and classify plausible triples in deep learning NLP models

In this paper we define the creativity embedding of a text based on four self-assessment creativity metrics, namely diversity, novelty, serendipity and magnitude, knowledge graphs, and neural networks. We use as basic unit the notion of triple (head, relation, tail). We investigate if additional information about creativity improves natural language processing tasks. In this work, we focus on triple plausibility task, exploiting BERT model and a WordNet11 dataset sample. Contrary to our hypothesis, we do not detect increase in the performance.1
The organizational basis for the activities of the educational council in educational colonies

This article discusses the research of the main psychological directions: in behaviorism, in Gestalt psychology, in the school of J. Piaget.Also, in particular, attention is focused on the research of the Soviet school of psychology on the problem of learning psychology, which allows us to describe the learning process specifically as a sequence of certain educational actions that lead to the assimilation of knowledge, skills and abilities.
Organization of Management in the System of Preschool Education on the Basis of Pedagogical Partnership

The article is devoted to the analysis of the concept of “management” and the modern management organization of a preschool educational organization. The authors report that for an effective and rational leadership of a modern preschool educational institution, the leader must master the basics of management, modern effective partnership strategies, teamwork technologies based on a positive constructive approach and leadership functions
UPAYA MENINGKATKAN AKTIVITAS DAN HASIL BELAJAR SISWA TENTANG MENULIS PERMULAAN DENGAN MENGGUNAKAN MEDIA KARTU KATA PADA SISWA KELAS SDN BAJO

The research objectives consist of (1) Increasing prewriting activity through words card at 3rd grade of SDNegeri Bajo and (2) Increasing students prewriting activities through word cards. There were 22 students became the respondents of this reearch and this research used quantitative and qualitative approach with classroom action research (CAR). The result of this research showed that there was significant difference between 1st cycle and 2nd cycle showed up that there were positive and negatively reacting respond by the students. In using word cards media showed that students were more enjoyable in learning process. Based on the research result of learning foundout that 7,1 % average. It is proved that card words media could improved students competence in learning prewriting in cycle one with categorize suficiently. While in the second cycle became 19 students passed attend their evaluation or 19 students of 20 students, thus the percentage reach 95 %. Based on the second cycle of the research, the researcher assumed that the students prewriting competence through word cards increase at 3rd grade of SDNegeri Bajo.
Character Recognition using Neural Network Self-Organizing Map (NN-SOM)

Understanding the neuron-logic and natural sense with which humans can recognize textual pattern and characters had actually called for computational artifact to mimic human behaviour.Character recognition is a key part of applying processing to safeguard transcribed data in order to recover it at a later stage, just as encouraging its method of correspondence utilizing computational intelligence and data mining approach.Character recognition with computing gadget allows easy access, content storage and distributed capacity.In this work, self-organizing map of the neural network was used to distinguish alphabetic characters by assigning them to different bins; using the ASCII values to represent each of the graphic characters and train the network with anticipated responses to recognize them.Each line has a 5x7 dot representation of each character with simple 3-bit representation; each of the output categories was named as well with a binary map of 35 pixel values.The simulator completed the learning in fewer cycles, and training patterns were learned very well while smaller tolerance was used.The results showed each foreign character in the match category closest to it.The middle layer of the network acts as a feature detector with much influence on training time and generalization capability.
Pengenalan Pola Lintasan Berbasis Neural Network Pada Prototype Self-Driving Car

&lt;p&gt;&lt;em&gt;Self driving cars are an interesting topic to discuss due to the high level of traffic accidents that occur due to human error. Self driving cars are vehicles that can find out about the environment with minimal human intervention. Self driving itself has many development methods such as Light Detection and Ranging (LIDAR), cameras, radars, or a combination of these sensors. This study made a prototype self-driving car using a camera as a sensor and a neural network algorithm for pattern recognition. The pattern recognition in question is the image recognition of the path taken. The data that has been taken will later be converted into a matrix with dimensions of 320x120 according to the image resolution. Then the data will be trained to recognize the path pattern with the proportion of 7: 3 for training accuracy and validation accuracy. The resulting prediction has an accuracy of 76.86% for training accuracy and 75.24% for validation accuracy.&lt;/em&gt;&lt;/p&gt;
Some Unexpected Results of Experimental Measurement of Papers in Experiments in Fluids

The geological environment is represented by fluvioglacial sediments with natural cemented soils composed of clean gravel, with pebbles, sand and well-rounded grain shape. The traditional investigations, such as geo-gnostic surveys and excavations, alter mechanically the natural state.
Multiword expressions we live by: a validated usage-based dataset from corpora of written Italian

The paper describes the creation of a manually validated dataset of Italian multiword expressions, building on candidates automatically extracted from corpora of written Italian. The main features of the resource, such as POS-pattern and lemma distribution, are also discussed, together with possible applications.1
Ryan Ripley on Making Scrum Work

Ryan Ripley, Scrum trainer and host of the podcast “Agile for Humans,” discusses Scrum and Scrum antipatterns. Host Kanchan Shringi spoke with Ripley about prerequisites for Scrum adoption; the need for management buy-in; scaling; Scrum values and roles; certification; product and sprint backlogs; high-performing, self-organizing, cross-functional, and remote teams; consistency among feature teams; exploratory work; minimum viable products; empowered product owners; the definition of “done”; bugs; Scrum activities; and interactions with stakeholders. We provide summary excerpts below; to hear the full interview, visit http://www .se-radio.net or access our archives via RSS at http://feeds.feedburner.com/ se-radio.
Design and Development of AI-Based Tourist Facilitator and Information Agent

Abstract Due to the rapid increase in the demand for information that supports tourists after, before, and during the trip, many tour systems are available. However, these systems are not able to successfully replace a human facilitator that is expensive to hire. The primary key qualities of a human tourist guide are his/her knowledge, communication skills, and interpretation of destination attractions. Traditional tourist facilitator systems are lacking in these qualities. The main idea of the research is to design an agent to guide tourists, provide them accurate information about visitable places, without having any bound for a specific region and it will have human-like communication skills along with the point of interest knowledge, which depends on its internal knowledge base as well as its online searching techniques.
Designing of Comic Strip as Learning Media in Future Tense Material

In Indonesia, English is one of language which is learnt from elementary school University level. College students from Visual communication design program in first semester will get future tense material in English 1. In future tenses there 2 formulas which are used based on the functional of the sentence, and it is difficult for student in differentiating the formulas, Media has important role in teaching learning process. Comic strip is familiar for milenilal. Based on the background writer decide to design a comic strip as learning media. The designing of comic strip is aim to give new or alternative media in teaching learning process. This comic strip covers future tense material that includes “to be going to” and “will” form. This research used qualitative method. The results of this research is designing of a comic strip in 8 panels that is written in English and covered future tense material which give ilutration how the two formulas of future tenses are used. The typography is comic sans MS, the main characters are three girls of Senior High School student. Comic strip is made in tradiotional/ manual process by drawing use pencil then through digitally process for the finishing. The colour of the comic strip uses calm colours and are dominated grey according to senior high school uniform colour, in order to make the reader feel the comfortable. The conclusion shows comic strip could be an alternative media in learning process.
Research And Exploratory Activities For The Intellectual Development Of Primary School Students

The article describes results of the study of the construction of the educational process within the framework of the research and exploratory activities of younger schoolchildren, discusses modern approaches and the importance of such activities for training and development of students.The article provides for the rationale of didactic support of the process of the research and exploratory activities in primary school, covering methods of organization of group and pair work in the lesson, the system of tasks, which contribute to the development of logical thinking, discourse and reasoning, methods of control and self-control, evaluation and self-evaluation.It includes analysis of difficulties students faced while working on training tasks in mathematics and science classes and discusses ways to eliminate those difficulties.The article concludes that the research and exploratory actions of the junior student result in the readiness and ability first to apply knowledge to a new situation in the lesson under the guidance of the teacher, and then do it independently out of hours.The student begins to use knowledge and skills of different educational courses to describe a variety of problems.It helps the student to see the essence of the problem, to find ways of solving it, as mastered during the educational process.
Analysis of the Current Situation and Countermeasures of the Application of WeChat Public Platform for Teachers' Professional Development

At present, the popularity of WeChat social software in the domestic public is very high, and it has a huge user base. With the help of WeChat for marketing, information dissemination, education, etc., the efficiency is high. WeChat has become the application of current education professional teaching development. One of the main models, its own application has certain advantages. This article introduces the positive role of the WeChat public platform application in the professional development of teachers, studies the construction and application status of the WeChat public platform in the professional development of teachers, and analyzes the public WeChat public in the professional development of teachers the effective application strategy of the platform provides some ideas and references for promoting the application of the WeChat public platform in the professional development of teachers.