Reviewerly/exHarmony huggingface dataset:
A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot

In recent times, a large number of people have been involved in establishing their own businesses. Unlike humans, chatbots can serve multiple customers at a time, are available 24/7 and reply in less than a fraction of a second. Though chatbots perform well in task-oriented activities, in most cases they fail to understand personalized opinions, statements or even queries which later impact the organization for poor service management. Lack of understanding capabilities in bots disinterest humans to continue conversations with them. Usually, chatbots give absurd responses when they are unable to interpret a user’s text accurately. Extracting the client reviews from conversations by using chatbots, organizations can reduce the major gap of understanding between the users and the chatbot and improve their quality of products and services.Thus, in our research we incorporated all the key elements that are necessary for a chatbot to analyse andunderstand an input text precisely and accurately. We performed sentiment analysis, emotion detection, intent classification and named-entity recognition using deep learning to develop chatbots with humanistic understanding and intelligence. The efficiency of our approach can be demonstrated accordingly by the detailed analysis.
Reduce Flood Losses Of Kali Tanggul Using Spatial Based Technical Approaches

Flood disasters frequently occurred in Jember Regency, East Java. It is usually caused by the overflow of the Tanggul River in the rainy season, especially in the downstream area. Flood control could be done by building dams, embankments, shortcuts, and other technical flood protections. Meanwhile, mitigation efforts such as developing thematic maps of flood inundation need to be done to minimize losses caused by the flood. This study aims to design a flood mitigation strategy technically. The flood control structure was proposed by designing a shortcut in Kali Tanggul. Its performance was analyzed to reduce flood inundation in the Tanggul watershed. The flood inundation modeling was carried out using spatial analysis using ArcGIS 10.1 and hydraulic analysis using HECRAS 5.0.3. Flood inundation results were compared with the Tanggul watershed flood map developed by UPT PUSDA Lumajang. Based on modeling results, flood control using shortcuts is considered an effective strategy for flood mitigation. It was indicated by the reduction of flood inundation distributions, flood inundation height, and flood-affected areas. The results show that the flood height decrease 0.47 up to 0.56 m
LEADERSHIP IN THE STUDENT COLLECTIVE

Objective. The aim of the article is to study the phenomenon of leadership in the student collective. Methods. During the research and to achieve its goal, theoretical research methods were used, including analysis and synthesis, generalization, explanation. Results. As a result, the problems of formation of leadership qualities in students of higher education institutions are analyzed, the development history of the leadership problem, the versatility of the concept are considered. Interpretations of the leadership phenomenon existing in domestic and foreign literature are presented. The phenomenon of the leadership role differentiation in a group is analyzed, the role of libraries in the formation of students’ leadership competence is highlighted. Conclusion. The conclusion indicates that for the effective formation of students’ leadership qualities it is necessary to study their psychological characteristics and that libraries play a significant role in the process of formation of students’ leadership qualities.
Privacy Preserving Reputation Calculation in P2P Systems with Homomorphic Encryption

In this paper, we consider the problem of calculating the node reputation in a Peer-toPeer (P2P) system from fragments of partial knowledge concerned with the trustfulness of nodes which are subjectively given by each node (i.e., evaluator) participating in the system. We are particularly interested in the distributed processing of the calculation of reputation scores while preserving the privacy of evaluators. The basic idea of the proposed method is to extend the EigenTrust reputation management system with the notion of homomorphic cryptosystem. More specifically, it calculates the main eigenvector of a linear system which models the trustfulness of the users (nodes) in the P2P system in a distributed manner, in such a way that: 1) it blocks accesses to the trust value by the nodes to have the secret key used for the decryption, 2) it improves the efficiency of calculation by offloading a part of the task to the participating nodes, and 3) it uses different public keys during the calculation to improve the robustness against the leave of nodes. The performance of the proposed method is evaluated through numerical calculations.
Level of Cellphone Usage and Academic Performance

This descriptive research paper was conducted to find out the level of cellphone usage and the English academic performance of the AB English students of the Northern Iloilo Polytechnic State College, Estancia, Iloilo. The respondents were the 46 AB English students, 16 of which were the first year and 30 were the fourth year AB English students enrolled in the first semester AY 2018-2019, classified according to sex and year level. The statistical tools used were mean, frequency counts and percentage, t-test, Pearson r. The researcher made questionnaire underwent the validity and reliability testing. Researcher made questionnaire were classified into two parts: Part I, the personal data sheet which include the questions name, sex and year level. Part II has 30 item-cellphone usage questionnaire. It was generally found out that AB English students have always level of cellphone usage. In view of these findings, it can be concluded that the level of cellphone usage of the AB English students when taken as an entire group was always but when classified as to sex, female always used their cellphone while males used their cellphones sometimes. The study also showed that first year AB English students have sometimes level of cellphone usage while the fourth year AB English students always used their cellphones.
PENGENALAN BAHASA INGGRIS MELALUI LAGU DI TPQ AL KAUTSAR 1

The goal of the community service entitled Introduction to English through songs at TPQ Al Kautsar 1 is to introduce English vocabulary through songs to improve students' comprehension of English. English song content taught at TPQ Al Kautsar 1 has never been obtained. The first stage was to conduct a series of English language introduction activities for pupils using songs to train pupils at TPQ Al Kautsar. Community service increased pupils' English comprehension. TPQ Al Kautsar pupils, based on observations made by the community service team, there are indications of increased English comprehension among pupils at TPQ Al Kautsar 1.
PENGARUH PENERAPAN PEMBELAJARAN ONLINE TERHADAP HASIL BELAJAR MELALUI MINAT BELAJAR PADA MATA PELAJARAN MARKETING KELAS X (SEPULUH) KOMPETENSI DASAR 3.9 DI SMK KETINTANG SURABAYA

The research was conducted to determine whether online learning affects learning outcomes through learning interest in marketing subjects for class X KD. 3.9 about analyzing the product life cycle at SMK Ketintang Surabaya. The sample is the tenth grade students of SMK Ketintang Surabaya, the online business and marketing expertise program, totaling 68 students. This research is a type of quantitative research. Collecting data using a closed Likert scale questionnaire. Data were analyzed by path analysis technique. The results of the study explain that online learning has a significant influence on learning interest by 21,6%, learning interest has a significant influence on learning outcomes by 39%, online learning has a direct influence on learning outcomes by 39%, and online learning on learning outcomes through interest in learning does not have a significant effect because the direct influence value is greater than the indirect influence value, namely 45,6% &gt; 10,5%. It is hoped that this research will provide benefits for a teacher to know what can affect student learning outcomes.
Classification of Dengue Hemorrhagic Fever (DHF) Spread in Bandung using Hybrid Naïve Bayes, K-Nearest Neighbor, and Artificial Neural Network Methods

Dengue fever is a dangerous disease caused by the dengue virus. One of the factors causing dengue fever is due to the place where you live in the tropics, so that cases of dengue fever in Indonesia, especially in the Bandung Regency area, will continue to show high numbers. Therefore, information is needed on the spread of this disease by requiring the accuracy and speed of diagnosis as early prevention. In terms of compiling this information, classification techniques can be done using a combination of methods Naïve Bayes, K-Nearest Neighbor(KNN), and Artificial Neural Network(ANN) to build predictions of the classification of dengue fever, and the data used in this Final Project are dataset affected by the spread of dengue fever in Bandung regency in the 2012-2018 period. The hybrid classifier results can improve accuracy with the voting method with an accuracy level of 90% in the classification of dengue fever.
Evaluation of Classroom Teaching Effect Based on Facial Expression Recognition

Classroom is an important environment for communication in teaching events. Therefore, both school and society should pay more attention to it. However, in the traditional teaching classroom, there is actually a relatively lack of communication and exchanges. Facial expression recognition is a branch of facial recognition technology with high precision. Even in large teaching scenes, it can capture the changes of students’ facial expressions and analyze their concentration accurately. This paper expounds the concept of this technology, and studies the evaluation of classroom teaching effects based on facial expression recognition.
Cultural enrichment in Indonesian language for foreign speaker (BIPA) learning with Trihita Karana concept

Indonesian Language for foreign speaker (BIPA) students are very interested in cultural values, the provision of cultural values ​​is very important for BIPA students to enrich their language skills. Even cultural errors can be more serious than language errors. Trihita Karana is a philosophical value of living in harmony with God, nature, and fellow human beings. To teach BIPA students, it is necessary to have a genuine learning method so that BIPA students can absorb the culture significantly. The twenty BIPA learners in the State Polytechnic of Bali were conducted in this research. Questionnaire and observation methods were used in data collection. The data obtained were then analysed using a qualitative descriptive method. Based on the results of BIPA students' responses to several methods being tested, it can be concluded that 96.7% of respondents argued that the Trihita Karana cultural learning method was very feasible to support the BIPA learning process. There were several methods appreciated by BIPA students, including guessing pictures, running while dictation, observing, video documentation, immersion, and debate. Among these methods, the immersion method was the most favoured by BIPA students because they directly experienced it in daily life.
Analisis Digital Watermarking untuk Otentikasi pada Citra Manipulasi Menggunakan Metode Least Significant Bit

The use of digital platforms has both positive and negative effects. Many criminals who manipulate images for personal gain, so as to harm the copyright holder (ownership) of the image. The purpose of the study was to detect false imagery generated by copy-move, splicing, and retouching techniques. The method used is the Least Significant Bit (LSB) method as a watermarking technique and its detection features. The insertion process is carried out on watermark images into the cover image as the container media. Image owners can authenticate to prove the originality of the image when the extraction process is done, the image manipulation is successfully detected because it is damaged. The test results showed that the digital watermarking technique with the Least Significant-Bit method is able to protect and prove the authenticity of the image. It was concluded that the results of comparison of watermark extraction on the original image and manipulation image saw a very significant difference in terms of visual and calculation with MSE, RMSE, and PSNR parameters.
Some Physicochemical Properties of Soils from Three Steel Welding and Fabrication Workshops in Port Harcourt, Rivers State, Nigeria

Some physicochemical properties were assessed in soils within steel welding and fabrication workshops in Port Harcourt, Rivers State, Nigeria. The study was carried out between May to November, 2020. The physicochemical parameters were determined using standard conventional methods of analysis to ascertain the different levels of the selected physicochemical parameters in the studied environment. The results obtained within the months revealed that pH average range was between 6.8±0.08-7.1±0.05, the electrical conductivity average range was between 65.25±0.83-76±0.71µs/cm, percentage organic carbon was within average range of 0.396±0.001-0.525±0.001%, percentage soil organic matter was in the average range of 0.682±0.002-0.904±0.002% and for particle size analysis, percentage sand was in the average range of 75±0.71-79±0.71%, percentage clay was in the average range 9.25±0.83-11±0.71% and percentage silt was in the average range 10.75±0.43-14±0.71% for the Egbelu, Elioparanwo and Saint John soils respectively. Observation from the nature of occurrence of the physicochemical parameters in the steel-welding and fabrication workshops showed that that the steel-welding and fabrication has not yet influenced the level of the physicochemical parameters in the soils studied.
RESEARCH ON THE CHALLENGES AND WAYS TO IMPROVE THE COMPREHENSIVE ABILITY OF CHINESE MUSIC EDUCATORS IN THE FUTURE

Music education, as an important form of music broadcasting, provides students with excellent aesthetic experience, cultivates their sentiment, develops their creative thinking, and also inherits the excellent cultural tradition, enriches the connotation of the world music culture, and promotes interpersonal communication and emotional communication.Music educators, as the main media of music communication, have a great responsibility.With China's rapid economic development, people's continuous pursuit of artistic quality, music educators is facing greater challenges.Facing this in the future, they urgent need to improve their comprehensive ability.This paper studied through literature and comparative study.Through the literature method, it consults the relevant literature at home and abroad, defines and explains the relevant core concepts, defines the content of the comprehensive ability of future music educators, and summarizes the current situation of music education in China.Through the comparative research method, the development course of Chinese music education is compared, and the experience and lessons are summarized.Finally, combined with the current actual situation of music education in primary and secondary schools in China, effective suggestions and opinions were put forward on the improvement of the comprehensive ability of music education educators in the future.This paper is divided into 3 parts.The first part reviews the contents of the comprehensive abilities of music educators.The second part analyzes the development process of Chinese music education and the current challenges.The third part puts forward the future music educators to improve the comprehensive ability.
PROCEDURE FOR COOPERATIVE PROFESSIONALLY ORIENTED WRITTEN COMMUNICATION OF PROSPECTIVE PROGRAMMERS

In the age of information and communication technologies the English language plays a significant role both in oral and written communication. The successful performance of computer programming specialists largely depends on their level of lexical competence, so a university course of English for specific purposes (ESP) focused on its development, can be exceedingly useful in the professional training of prospective programmers. This study aims at investigating the effectiveness of the collaborative professional written communication in ESP classrooms to enhance future programmers’ writing skills as well as improve their English lexical competence. To validate the efficiency of the algorithm, the author conducted experimental teaching of the 5th-year students of the Faculty of Applied Mathematics and Informatics at Ivan Franko Lviv National University in 2017‒2018 academic year. The stages of the algorithm implemented in order to advance the level of English lexical competence were elaborated. Efficiency of the algorithm has been proved on the basis of the results obtained from pre- and post- experimental assessment of students from experimental and control groups. On a practical level, the participants’ writing skills were examined through an English written test prior to and after cooperative learning activities were provided. Growth rate in students from experimental group significantly exceeded the students’ results in the control group. Thus, the efficacy of the suggested algorithm used for developing lexical competence in computer programming students has been proved. In light of the findings, the researcher indicates that teachers can benefit from applying the proposed methodology for collaborative professional writing in English classes, which may in turn develop students’ writing skills and improve their English lexical competence.
Digital Inventory of Fossils: Dinosaur Fossils National Park Bagh Dhar

Abstract: Dinosaur Fossils National Park Bagh has huge fossils reserves of late cretaceous period that includes Dinosaurs bones, whole dinosaurs’ nests, dinosaurs’ eggs, tree fossils, shark teeth, ammonites, bivalves, inoceramids, and other marine organisms. With the help of local researchers and forest staff over the period oftime we had collected fossils of many species. Firstly, we inventoried the fossils physically and documented each by maintaining Stock Registers. Digitizing the Stock Registers – to convert each register in excel file which includes all the details regarding that fossil. To make it more attractive and useful in future, we have created 3dmodels of at least one specimen of each fossils’ species. To have worldwide reach, we have created and hosted the website www.dinosaurfossilsnationalparkbagh.in . I
Automatic Detection and Classification of Rock Microstructures through Machine Learning

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Automatic Detection and Classification of Rock Microstructures through Machine LearningAuthorsStephenIotaJunyiLiuMingLyuBolongPanXiaoyuWangiDYolandaGilGurmanGillWaelAbdAlmageedMattyMookerjeeSee all authors Stephen IotaCorresponding Author• Submitting AuthorUniversity of Southern Californiaview email addressThe email was not providedcopy email addressJunyi LiuUniversity of Southern Californiaview email addressThe email was not providedcopy email addressMing LyuUniversity of Southern Californiaview email addressThe email was not providedcopy email addressBolong PanUniversity of Southern Californiaview email addressThe email was not providedcopy email addressXiaoyu WangiDUniversity of Southern CaliforniaiDhttps://orcid.org/0000-0001-5796-3084view email addressThe email was not providedcopy email addressYolanda GilUniversity of Southern Californiaview email addressThe email was not providedcopy email addressGurman GillSonoma State Universityview email addressThe email was not providedcopy email addressWael AbdAlmageedUniversity of Southern Californiaview email addressThe email was not providedcopy email addressMatty MookerjeeSonoma State Universityview email addressThe email was not providedcopy email address
Measuring Brazilian Portuguese Product Titles Similarity using Embeddings

Textual similarity deals with determining how similar two pieces of texts are, considering the lexical (surface forms) or semantic (meaning) closeness. In this paper we applied word embeddings for measuring e-commerce product title similarity in Brazilian Portuguese. We generated some domainspecific word embeddings (using Word2Vec, FastText and GloVe) and compared them with general-domain models (word embeddings and BERT models). We concluded that the cosine similarity calculated using the domain-specific word embeddings was a good approach to distinguish between similar and nonsimilar products, but the multilingual BERT pre-trained model proved to be the best one.
Design and Fabrication of Low Cost Modified Maneuverable Standing Stretcher Wheelchair Transport System

Wheel Chairs are one of the convenient man made structure which are highly useful for person with disability. The major problem of this wheelchair is the architectural obstacles such as stairs etc. Many researchers around the globe have worked on wheel chair design so as to make the user independent. The question of overcoming these obstacles by a wheelchair always is the most discussed topics in recent days.&#x0D; This paper involves in fabricating a wheel chair which is motor operated. It is stair climbing wheelchair design which concept which overcomes the structural obstacles. The fabrication of an ergonomically designed battery operated wheel chair for multi usage is done. Concept of stairs climbing function is embedded in the design by adopting new design and mechanism. The design considerations of the wheelchair are based on the standard design of the stairs which are constructed in India. The work deals with design and fabrication of wheelchair convertible to bed. It is also equipped with a standing aid which helps the disabled individual to stand up and perform certain work.&#x0D; The design involves the use of electrical linear actuators which consists of an assembly of motor driven power screw to make the transformation from sitting to a bed by using a hand held remote, overcoming the need of a another person to shift the patient from wheelchair to bed. This project offers multiple features over a standard wheelchair and is very economical in comparison to commercially available wheelchairs.
S5-Style Non-Standard Modalities in a Hypersequent Framework

The aim of the paper is to present some non-standard modalities (such as non-contingency, contingency, essence and accident) based on S5-models in a framework of cut-free hypersequent calculi. We also study negated modalities, i.e. negated necessity and negated possibility, which produce paraconsistent and paracomplete negations respectively. As a basis for our calculi, we use Restall's cut-free hypersequent calculus for S5. We modify its rules for the above-mentioned modalities and prove strong soundness and completeness theorems by a Hintikka-style argument. As a consequence, we obtain a cut admissibility theorem. Finally, we present a constructive syntactic proof of cut elimination theorem.
TARGET TRAINING OF ELITE AND LEADERS IN THE CONDITIONS OF TECHNICAL UNIVERSITY

the growth of the need for social production in the leaders due to the dynamic development of industry and the acceleration of the cycle of aging and technological change is justified. It is shown that the organization of training of these leaders and the new humanitarian and technical elite should be carried out in higher education institutions of engineering profile. It is proved that in order to qualitatively train the elite and leaders as real carriers and organizers of scientific, technical and social progress in the conditions of formation of industry 4.0 it is extremely necessary to pass to education 4.0.